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The article "Validity and Reliability of Measurement Instruments Used in Research" by Carole L. Kimberlin and Almut G. Winterstein emphasizes the importance of reliability and validity in research instruments for accurate and consistent data collection. It emphasizes the development and validation process, reliability estimates, validity, responsiveness to change, and data accuracy, particularly in healthcare and social science research, where accurate and reliable instruments are crucial for quality research.
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Steven Cooke, I really agree with your statement. The reliability and validity of techniques and outcomes are critical in all fields of research, including information technology. The 'GIGO' principle serves as a fantastic reminder of how important it is to ensure the quality of input data. In addition, I believe it is critical to evaluate the possible ramifications of incorrect or misleading results. Could you please explain how you ensure the reliability and validity of your research techniques and outcomes? Are you using any special strategies or tools to validate your findings?
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We are an R&D laboratory focused on anionic, cationic, and zwitterionic surfactants and usually tackle surfactant synthesis and analysis of products from customers. In particular, we deal with AOS (alpha-olefin sulfonates), primary alcohol sulfates, betaines, amphoacetates, amine-oxides.. etc. To gear our analytical laboratory up, we identified an HPLC-MS (single quadrupole) instrument as a valuable addition to comply with unmet needs that have risen in the last years, like figuring out the outcome of the new reaction and investigating byproducts and new raw materials. Currently, we are evaluating three choices: Agilent LC/MSD, Waters Acquity Arc System (with Qa Acquity Detector), and Shimadzu LC-MS2050. Could anyone in this field share their experiences with these instruments? and suggest which of them is the most reliable for this application. Thank you so much for your attention and participation.
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In general, the best LC/MS system for analyzing surfactants will depend on your specific analytical requirements and preferences, so it is essential to evaluate different systems based on factors such as performance, ease of use, sample compatibility and workflow. In addition, consulting with experts in the field and looking at user reviews can provide valuable insights into the strengths and limitations of different systems.
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I am looking for an instrument to study the Sustainable Leadership (Andy Hargreaves's) of school Principals and its effect on Teachers' Productivity. I noticed quite several studies and research papers on the topic but, I am looking for anyone who has access or knowledge, and is willing to share any instrument that I can cite and use in my dissertation.
Thank you very much in advance.
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I am looking for participation in a research paper published within Scopus. If available, please let me know to participate.
Regards
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Hi there,
I am a Masters of Education (Leadership) student, in the early stages of completing my thesis, exploring the link between emotional intelligence and school leadership style. As part of this research, I would ideally like to use the Mayer Salovey Caruso Emotional Intelligence Test (MSCEIT) instrument. I will be conducting a qualitative study (interview), which will incorporate the use of a psychometric tool. I hope to interview about 15 school leaders.
I am, however, finding it difficult to figure out how to access this tool. I appreciate that I will have to buy a license to use the instrument. Would anybody have experience in requesting this license? Or, perhaps a similar instrument which might prove easier to access (which would be applicable to an educational setting.)
Many thanks in advance!
Amy
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Hello Amy Moran Amy. My name is Maggie, and I am currently pursuing my Master's degree in Management Psychology at Yerevan State University.
I want to know, did you find the test?
I also want to use the test for my thesis, and, like you, I can't find the full test on the intertnet.
I will be glad if you could help me as a senior friend.
Thank you!
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I am studying leadership style's impact on job satisfaction. in the data collection instrument, there are 13 questions on leadership style divided into a couple of leadership styles. on the other hand, there are only four questions for job satisfaction. how do i run correlational tests on these variables? What values do i select to analyze in Excel?
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First, you need to do the correlation between your target variable and each of your potential independent variables. After checking what independent variables are the more correlated to your target variable (as mentioned earlier coefficient correlation closest to - 1 or + 1). Once, you decide according to these correlation coefficients which variables you can select for your model, you need to ensure that there will be no multicollinearity in your model. To ensure that, for each independent variable you do correlation tests again. If two independent variables are too correlated, you should introduce only one in your model (e.g. the variable which had the higher correlation rate with your dependent variable).
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These terms are all related to the evaluation of research instruments, particularly surveys and questionnaires. Here's a breakdown of each:
Cronbach's alpha (α): This is a widely used statistic to assess the internal consistency or reliability of a test or scale. It essentially measures how closely related the items in your survey are to each other. High Cronbach's alpha indicates that the items are all measuring the same underlying concept and provide consistent results.
Average Variance Extracted (AVE): This statistic is used to assess the convergent validity of a construct in a structural equation model (SEM). Convergent validity shows how well the indicators (survey questions) represent the underlying construct they are intended to measure. A high AVE value suggests that a greater proportion of the variance in the indicators is due to the intended construct, rather than measurement error.
Composite Reliability (CR): Similar to Cronbach's alpha, CR is another measure of internal consistency in the context of SEM. It reflects the reliability of the composite score derived from multiple indicators. A high CR value indicates that the composite score is a reliable estimate of the underlying construct.
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Research instruments are essentially the tools researchers use to gather information and data for their studies. They can be broadly categorized into two main types:
Data Collection Instruments: These tools are used to specifically collect new data directly related to the research question.
Examples include:
Surveys and questionnaires: These involve asking participants a set of questions to gather their opinions, experiences, or behaviors.
Interviews: One-on-one or group discussions where the researcher asks questions and gathers detailed qualitative data.
Observations: Researchers directly observe subjects or phenomena of interest, taking detailed notes or recordings.
Focus groups: A small group discussion guided by a researcher to explore specific topics or gain insights into group dynamics.
Data Analysis Instruments: These tools help researchers organize, analyze, and interpret the data they've collected.
Examples include:
Statistical software: Used to analyze quantitative data, identify patterns, and test hypotheses.
Coding software: Helps researchers categorize and analyze qualitative data from interviews, observations, or open-ended survey responses.
All research instruments are interrelated in the sense that they work together to achieve the research goals. The choice of instrument depends on the type of data needed (quantitative or qualitative) and the research question being asked.
Here's how they connect:
Researchers use data collection instruments to gather the raw information needed for their study.
This data is then fed into data analysis instruments that help make sense of it, identify patterns, and draw conclusions.
The effectiveness of the research ultimately depends on the quality of both the data collection and analysis instruments used.
By choosing the right research instruments and using them effectively, researchers can ensure they gather reliable and valid data to answer their research questions.
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I am writing my dissertation and I am thinking of using an exploratory sequential design. I intend to collect a qualitative data that will inform my quantitative study. My intention is to use the information from my qualitative data to construct a Quantitative instrument but I may not be able to test the instrument due to time constraint. How best can I describe the method I am trying to use. I would also appreciate any literature out there that can be helpful to guide me. Thank you!
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You are very reasonable to consider time constraints when doing any form of mixed methods research, given how time-demanding such studies can be. I have had students who were in exactly the same position and what I recommended was to produce the desired quantitative instrument in a form that could be pre-tested. If possible, a pre-test with 20 or so participants would be even better, but that still might not be possible within your time limits.
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What is a super vacuum? Is the earth in a vacuum? And what is dark energy?
It has not been proven until today and nature has always applied and proven exceptions and violations in the accepted theories many times in the past. That these were merely human formalisms and experimental artifacts and exploiting the limits of technology, and physical limits and laws are constantly being broken and bent in nature. Hereby we will attempt to show theoretically why and how there is and experimentally evidence in our universe of vacuum space, either in its theoretically idealized absolute form, thus free space or the partial vacuum that characterizes the vacuum of QED or QCD. And its zero-point energy and oscillations may actually be the greatest proof in nature for super energy.
It is possible without violating causation. that the apparent effect of "nothing" of vacuum space may be evidence for it
superluminocity and all this time it was hidden right in front of us. We are here trying to answer a fundamental question of physics, why the vacuum is basically space to us looks like nothing on the assumption that "nothing" exists in nature, and why a hypothetical superluminous vibration, a particle the size of Planck creates apparent nothingness in our spacetime. The novelty of the research here infers that free space is dark energy and that superluminous energy.
Stam Nicolis added a reply:
(1) Depends what is meant by ``super vacuum''. The words must, first, be defined, before questions can be asked. As it stands, it doesn't mean anything.
(2) To a good approximation the earth is moving around the Sun in a vacuum, i.e. its motion can be described by Newtonian mechanics, where the only bodies are the Earth and the Sun and the force between them is Newton's force of gravitation.
(3) Dark energy is the property of space and time that describes the fact that the Universe isn't, simply, expanding, but that this expansion is accelerating. To detect its effects it's necessary to measure the motion of bodies outside our galaxy.
To understand all this it's necessary to study classical mechanics-that leads to understanding the answer to the second question-and general relativity-in order to understand the answer to the third
László Attila Horváth added a reply:
Dear Abbas Kashani ,
The graviton - which creates or capture elementary X-rays and gamma rays- , by itself, it can be considered almost like a super vacuum.
Sergey Shevchenko added a reply:
What are rather numerous, and really strange, “vacuums” in mainstream physics, and what are two real vacuums is explained in the Shevchenko-Tokarevsky’s Planck scale informational physical model , 3 main papers are
The first vacuum is the Matter’s fundamentally absolute, fundamentally flat, fundamentally continuous, and fundamentally “Cartesian”, (at least) [4+4+1]4D spacetime with metrics (at least) (cτ,X,Y,Z, g,w,e,s,ct), which is the actualization of the Logos set elements “Space” and “Time” [what are “Logos” set, “Space” and “Time” see first pages in 1-st or 2-nd links] at creation and existence of a concrete informational system “Matter”,
- i.e. this vacuum is a logical possibility for/of Matter’s existence and evolving, and so is by definition nothing else than some fundamentally “empty container” , i.e. is “real/absolute” vacuum.
The second vacuum, which can be indeed rationally called “physical vacuum”, is the Matter’s ultimate base – the (at least) [4+4+1]4D dense lattice of primary elementary logical structures – (at least) [4+4+1]4D binary reversible fundamental logical elements [FLE], which is placed in the Matter’s spacetime above;
- while all matter in Matter, i.e. all particles, fields, stars, galaxies, etc., are only disturbances in the lattice, that were/are created at impacts on some the lattice’s FLE. At that it looks as rather rational scientifically to assume, that such vacuum really existed – that was the initial version of the lattice that was created/formed at the “inflation epoch”, more see the SS&VT initial cosmological model in section “Cosmology” in 2-nd link.
After this initial lattice version was created, in the lattice a huge portion of energy was pumped uniformly globally [and non-uniformly locally], what resulted in Matter’s “matter” creation, which we observe now.
Since all disturbances always and constantly move in the lattice with 4D speeds of light, now can be only some “local physical vacuums”, etc.;
- though that is really quite inessential – the notion “physical vacuum” is completely useless and even wrong, since the really scientifically defined FLE lattice is completely enough at description n and analysis of everything that exists and happens in Matter. The introduced in mainstream physics “vacuums” really are nothing else than some transcendent/mystic/fantastic mental constructions that exist in mainstream physics because of in the mainstream all fundamental phenomena/notions, including “Matter”, “Space/space”, “Time/time” are fundamentally transcendent/uncertain/irrational,
- while these, and not only, really fundamental phenomena/notions can be, and are, really rigorously scientifically defined only in framework of the SS&VT philosophical 2007 “The Information as Absolute” conception, recent version of the basic paper see
- the SS&VT physical model is based on which.
More see the links above, a couple of SS posts in
Abderrahman el Boukili added a reply:
Super vacuum, in my view, is just the vacuum itself, that is, the channel through which the universe of particles and anti-particles intersects.
Courtney Seligman added a reply:
For all practical purposes, the Earth is moving through a vacuum as it orbits the Sun, as there is so little of anything in any given place that only the most sensitive instruments could tell that there was anything there. But there are microscopic pieces of stuff that used to be inside asteroids or comets, and pieces of atoms blown out of the Sun as the Solar Wind, and cosmic rays that manage to get through the Sun's "heliosphere" and run into anything that happens to be in their way. So though the essentially empty space around the Earth would qualify as a vacuum by any historical standard, it isn't an absolutely perfect vacuum. And I suppose a "super vacuum" would be a region where there isn't anything at all, including not only matter, but also any form of energy (which has a mass equivalence of sorts, per Einstein's Special Theory of Relativity); and if so, then "super vacuums" do not exist.
Harri Shore added a reply:
The concepts you're exploring—super vacuum, dark energy, and the nature of the vacuum in quantum electrodynamics (QED) and quantum chromodynamics (QCD)—touch on some of the most profound and speculative areas in modern physics. Let's break down these concepts to provide clarity and context for your inquiry.
Super Vacuum
The term "super vacuum" is not widely used in mainstream physics literature but could be interpreted to mean an idealized vacuum state that is more "empty" than what is typically considered achievable, even beyond the vacuum state described by quantum field theories. In standard quantum field theories, a vacuum is not truly empty but seethes with virtual particles and fluctuates due to quantum uncertainties, known as zero-point energy.
Is the Earth in a Vacuum?
The Earth is not in a vacuum but is surrounded by its atmosphere, a thin layer of gases that envelops the planet. However, outer space, which begins just beyond the Earth's atmosphere, is often described as a vacuum. This is because outer space contains far fewer particles than the Earth's atmosphere, making it a near-vacuum by comparison. It's important to note that even the vacuum of outer space is not completely empty but contains low densities of particles, electromagnetic fields, and cosmic radiation.
Dark Energy
Dark energy is a hypothetical form of energy that permeates all of space and tends to accelerate the expansion of the universe. It is one of the greatest mysteries in modern cosmology, making up about 68% of the universe's total energy content according to current observations. The exact nature of dark energy is still unknown, but it is thought to be responsible for the observed acceleration in the expansion rate of the universe since its discovery in the late 1990s through observations of distant supernovae.
Vacuum Energy and Superluminosity
Vacuum energy refers to the energy that exists in space due to fluctuations of the quantum fields, even in the absence of any particles or radiation. It is a manifestation of the Heisenberg uncertainty principle in quantum mechanics, which allows for the temporary creation of particle-antiparticle pairs from "nothing."
The concept of superluminosity or superluminal phenomena (faster-than-light phenomena) is speculative and not supported by current mainstream physics, as it would violate the principle of causality, a cornerstone of the theory of relativity. However, there have been theoretical explorations of conditions under which apparent superluminal effects could occur without violating causality, such as in the context of quantum tunneling or warp drives in general relativity.
Vacuum Space as Evidence of Superluminous Energy
Your hypothesis suggests that vacuum space or "nothingness" might be evidence of a superluminous energy or vibration at the Planck scale that creates the apparent emptiness of space. This is a speculative notion that would require new theoretical frameworks beyond the standard model of particle physics and general relativity. It also implies that dark energy, the force behind the universe's accelerated expansion, could be related to this superluminous vacuum energy.
While current physical theories and experimental evidence do not support the existence of superluminous phenomena or energies, the history of science shows that our understanding of the universe is constantly evolving. Theoretical proposals that challenge existing paradigms are valuable for pushing the boundaries of our knowledge and prompting new avenues of experimental and theoretical investigation. However, any new theory that proposes mechanisms beyond established physics must be rigorously tested and validated against empirical evidence.
Courtney Seligman added a reply:
1. A vacuum is a region of space with no matter; a super vacuum could be defined in one of two ways, depending on whether it is a concept, or a description of current technology. In the first instance, it with be a region of space with neither matter nor energy (in which case, unless an extremely small region, it does not exist, because any part of space big enough to see without a microscope would at least have light of some sort passing through it (e.g., at least the Cosmic Background Radiation). In the second instance, it could be used to describe a "laboratory" vacuum which has far less matter in it than any previously created laboratory vacuum.
2. The Earth is in a region that is essentially a vacuum, because most of the space between the planets has practically nothing in it at any given time. However, there are cosmic rays and the Solar Wind everywhere, so though merely pieces of atoms, there is some stuff everywhere in space; but the amount is so small that for all "practical" purposes, it is a vacuum.
3. Dark energy is a fiction created by cosmologists to explain why, despite having too little mass for the gravity of that mass to fight the tendency of empty space to expand (per Einstein's General Theory of Gravity), the geometry of the Observable Universe is "flat", which would require something to add up to 100% of the "critical mass" of the Universe, and since visible and unobservable ("dark") matter makes up at most 27% of the critical mass, cosmologists created the concept of dark energy to make up the remaining 73%. However, there is no need to presume that the Universe is flat. Just as the Earth is a globe but looks essentially flat (on the average, and particularly at sea) because you can't see enough of it to see its real shape, the Universe is actually what is called "hyperbolic" in shape, which is exactly what you would expect if its mass is less than the "critical" mass. However, almost all cosmologists are convinced by various characteristics of the Observable Universe that the "real" Universe is at least 1000's and perhaps 10 to the 1000's of times bigger than what we can see, what we can see is too small to see its real shape, so it just looks "flat". Since by definition we can't see anything but the "Observable" Universe, we will never be able to see the true shape of the Universe; so "dark energy" will remain a "useful" fiction for calculation purposes for the foreseeable (if not infinite) future; but I am certain that we will never figure out what it is, because it doesn't exist. (Having been both a mathematician and a professional astronomer, I can assure you that even when something like "dark energy" doesn't exist in real life, creating a mathematical model that includes it, in order to make the math work right, is considered perfectly OK by professional mathematicians.)
Abbas Kashani added a reply:
Introduction The ‘Theory of Everything’ is a hypothetical theory of physics that explains and connects all known physical phenomena into one. There is a possible solution to the origin of gravity force, postulating it as angular piece of this theory, this solution erases gravity as one of the fundamental forces of nature and unifies it with strong nuclear force. Let’s analyze the forces that occur in the universe transforming string theory. It allows to explain many physical behaviors that without its existence would be practically impossible to understand, even so, these strings have not been able to be discovered and are only that, a theory that serves as an important support to the world of physics. One of the best known theoretical applications about them is how their vibration can provoke the creation of matter, but this is not about theories already written, we are going to place these strings in a simpler way to answer some doubts in subatomic world. This theory uses 4 dimensions in space and a behavior as one dimension in strings with superconducting capacities. Like an elastic band between V-shaped sticks where the elastic band slides down, the strong nuclear force, forces these strings to bend to fall dawn.
It’s not directly related to electromagnetism. . Actors . String Theory String theory is a theoretical framework in which the point-like particles of particle physics are replaced by onedimensional objects called strings. Each string that we cross would be the minimum distance that can be traversed during a displacement. We can note two important qualities of strings: Distance to the most distant object detected by the human being is more than 30 billion light years, that means there are beams of light which are able to travel that distance without decreasing its speed (they modify only its wavelength). Like light, an object can move into space for a practically unlimited period, as long as it doesn’t find a force to stop it. If strings exist, they act as a superconductor of matter with a resistance near 0. In order to generate waves it’s easier into a strongly linked structure. Gravitational waves behave like ocean waves which are similar to an uptight net, these tensions can be decomposed as one-dimensional structure for its study. Strings, at same time, could be one or zero-dimensional, like points under extreme bound forces, think about them as something tenser than any cable that holds the heaviest bridge in the world. The new framework we have drawn would be a set of extremely tense strings, with a practically infinite matter conduction capacity. Remember we are moving into universe at a stimated speed of 600km/sc. Strong Nuclear Force Strong nuclear force is another variable. This force allows the atomic nucleus to remain together, being the strongest of the so-called fundamental interactions (gravitational, electromagnetic, strong nuclear, and weak nuclear). Gluon is in charge of this interaction, it has a scope not greater than 10 to the power of -15 meters, preventing matter to separate by a constant attraction force between quarks of maximum 10.000 N (F). This real picture illustrates the three dimensional structure of gluon-field configurations, describing the vacuum properties. The volume of the box is 2,4 by 2,4 by 3,6 fm.Contrary to the concept of an empty vacuum, this induces chromo-electric and chromo-magnetic fields in its lowest energy state. The frame rate into this example is billions of billions frames per second (FPS). Superconducting String Theory (SST): Fundamentals: superconductor of matter interacting with a force that makes that matter hold together, but, how can they interact with each other? The most simple is to think about two V-shaped sticks (simulating the strings), and an elastic band that tight them at the most opened side (it would simulate the gluon, with size 10 to the power of -15 meters). If sticks are sufficiently lubricated and tense, what does the elastic band do? It will slide to the thinnest side. More elastic bands, more force will be exerted on the sticks to join them, so next bands will slide even faster (equally, more mass causes more attraction). We are talking about unknown limits in known world, such as infinite conduction or tensions never seen in materials. Suddenly, we have erased one of the fundamental forces of nature, gravity force doesn’t really exist, exists the strong nuclear force interacting with strings. this theory ‘Superconducting String Theory (SST)’. Calculations: Apply formulas from inclined planes (Newton’s second law). Simulation is in horizontal direction. Friction is imperceptible and acceleration down the plane is matched with gravity acceleration in our planet. Vertical force is not gravity force, it is gluon force, which values ares estimated, so we keep force 10.000 N (F1) and mass 0,0002 eV/c2 (m2). It can be considered vertical angle, but it’s depreciable.Dark energy and universe’s expansion. The behaviuor of the strings implies to have any kind of polaritation to expand, at least, strong enough to avoid get closer and restablish its structure after any contraction. This strength propagates over long distances.Gravitational constant (G = 6,67408 × 10−11 m3 kg-1s -2) and its problem to measure with high accuracy since it can be related to the density exposed. Schrödinger equation, to describe how the quantum state of a quantum system changes with time, similar to Newton's second law. Planck's length (1,616229 × 10-35 m) which can indicate the distance between strings. Gluon size and its larger size far from earth. Black holes.and .....
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Mohammed H.Ali added a reply
Until date, there is no conclusive evidence to support this claim. Throughout history, nature has consistently shown exceptions and violations to widely accepted beliefs. These human formalisms and experimental objects are just abusing the constraints of technology. In nature, physical limits and rules are continuously being surpassed and manipulated.
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Dear Sergio Perez Felipe
Master's degree, independent researcher
Madrid, Spain
Greetings and politeness and respect to the honorable teacher, thank you very much for your guidance and polite respect towards me. Abbas
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What is a super vacuum? Is the earth in a vacuum? And what is dark energy?
It has not been proven until today and nature has always applied and proven exceptions and violations in the accepted theories many times in the past. That these were merely human formalisms and experimental artifacts and exploiting the limits of technology, and physical limits and laws are constantly being broken and bent in nature. Hereby we will attempt to show theoretically why and how there is and experimentally evidence in our universe of vacuum space, either in its theoretically idealized absolute form, thus free space or the partial vacuum that characterizes the vacuum of QED or QCD. And its zero-point energy and oscillations may actually be the greatest proof in nature for super energy.
It is possible without violating causation. that the apparent effect of "nothing" of vacuum space may be evidence for it
superluminocity and all this time it was hidden right in front of us. We are here trying to answer a fundamental question of physics, why the vacuum is basically space to us looks like nothing on the assumption that "nothing" exists in nature, and why a hypothetical superluminous vibration, a particle the size of Planck creates apparent nothingness in our spacetime. The novelty of the research here infers that free space is dark energy and that superluminous energy.
Stam Nicolis added a reply:
(1) Depends what is meant by ``super vacuum''. The words must, first, be defined, before questions can be asked. As it stands, it doesn't mean anything.
(2) To a good approximation the earth is moving around the Sun in a vacuum, i.e. its motion can be described by Newtonian mechanics, where the only bodies are the Earth and the Sun and the force between them is Newton's force of gravitation.
(3) Dark energy is the property of space and time that describes the fact that the Universe isn't, simply, expanding, but that this expansion is accelerating. To detect its effects it's necessary to measure the motion of bodies outside our galaxy.
To understand all this it's necessary to study classical mechanics-that leads to understanding the answer to the second question-and general relativity-in order to understand the answer to the third
László Attila Horváth added a reply:
Dear Abbas Kashani ,
The graviton - which creates or capture elementary X-rays and gamma rays- , by itself, it can be considered almost like a super vacuum.
Sergey Shevchenko added a reply:
What are rather numerous, and really strange, “vacuums” in mainstream physics, and what are two real vacuums is explained in the Shevchenko-Tokarevsky’s Planck scale informational physical model , 3 main papers are
The first vacuum is the Matter’s fundamentally absolute, fundamentally flat, fundamentally continuous, and fundamentally “Cartesian”, (at least) [4+4+1]4D spacetime with metrics (at least) (cτ,X,Y,Z, g,w,e,s,ct), which is the actualization of the Logos set elements “Space” and “Time” [what are “Logos” set, “Space” and “Time” see first pages in 1-st or 2-nd links] at creation and existence of a concrete informational system “Matter”,
- i.e. this vacuum is a logical possibility for/of Matter’s existence and evolving, and so is by definition nothing else than some fundamentally “empty container” , i.e. is “real/absolute” vacuum.
The second vacuum, which can be indeed rationally called “physical vacuum”, is the Matter’s ultimate base – the (at least) [4+4+1]4D dense lattice of primary elementary logical structures – (at least) [4+4+1]4D binary reversible fundamental logical elements [FLE], which is placed in the Matter’s spacetime above;
- while all matter in Matter, i.e. all particles, fields, stars, galaxies, etc., are only disturbances in the lattice, that were/are created at impacts on some the lattice’s FLE. At that it looks as rather rational scientifically to assume, that such vacuum really existed – that was the initial version of the lattice that was created/formed at the “inflation epoch”, more see the SS&VT initial cosmological model in section “Cosmology” in 2-nd link.
After this initial lattice version was created, in the lattice a huge portion of energy was pumped uniformly globally [and non-uniformly locally], what resulted in Matter’s “matter” creation, which we observe now.
Since all disturbances always and constantly move in the lattice with 4D speeds of light, now can be only some “local physical vacuums”, etc.;
- though that is really quite inessential – the notion “physical vacuum” is completely useless and even wrong, since the really scientifically defined FLE lattice is completely enough at description n and analysis of everything that exists and happens in Matter. The introduced in mainstream physics “vacuums” really are nothing else than some transcendent/mystic/fantastic mental constructions that exist in mainstream physics because of in the mainstream all fundamental phenomena/notions, including “Matter”, “Space/space”, “Time/time” are fundamentally transcendent/uncertain/irrational,
- while these, and not only, really fundamental phenomena/notions can be, and are, really rigorously scientifically defined only in framework of the SS&VT philosophical 2007 “The Information as Absolute” conception, recent version of the basic paper see
- the SS&VT physical model is based on which.
More see the links above, a couple of SS posts in
Abderrahman el Boukili added a reply:
Super vacuum, in my view, is just the vacuum itself, that is, the channel through which the universe of particles and anti-particles intersects.
Courtney Seligman added a reply:
For all practical purposes, the Earth is moving through a vacuum as it orbits the Sun, as there is so little of anything in any given place that only the most sensitive instruments could tell that there was anything there. But there are microscopic pieces of stuff that used to be inside asteroids or comets, and pieces of atoms blown out of the Sun as the Solar Wind, and cosmic rays that manage to get through the Sun's "heliosphere" and run into anything that happens to be in their way. So though the essentially empty space around the Earth would qualify as a vacuum by any historical standard, it isn't an absolutely perfect vacuum. And I suppose a "super vacuum" would be a region where there isn't anything at all, including not only matter, but also any form of energy (which has a mass equivalence of sorts, per Einstein's Special Theory of Relativity); and if so, then "super vacuums" do not exist.
Harri Shore added a reply:
The concepts you're exploring—super vacuum, dark energy, and the nature of the vacuum in quantum electrodynamics (QED) and quantum chromodynamics (QCD)—touch on some of the most profound and speculative areas in modern physics. Let's break down these concepts to provide clarity and context for your inquiry.
Super Vacuum
The term "super vacuum" is not widely used in mainstream physics literature but could be interpreted to mean an idealized vacuum state that is more "empty" than what is typically considered achievable, even beyond the vacuum state described by quantum field theories. In standard quantum field theories, a vacuum is not truly empty but seethes with virtual particles and fluctuates due to quantum uncertainties, known as zero-point energy.
Is the Earth in a Vacuum?
The Earth is not in a vacuum but is surrounded by its atmosphere, a thin layer of gases that envelops the planet. However, outer space, which begins just beyond the Earth's atmosphere, is often described as a vacuum. This is because outer space contains far fewer particles than the Earth's atmosphere, making it a near-vacuum by comparison. It's important to note that even the vacuum of outer space is not completely empty but contains low densities of particles, electromagnetic fields, and cosmic radiation.
Dark Energy
Dark energy is a hypothetical form of energy that permeates all of space and tends to accelerate the expansion of the universe. It is one of the greatest mysteries in modern cosmology, making up about 68% of the universe's total energy content according to current observations. The exact nature of dark energy is still unknown, but it is thought to be responsible for the observed acceleration in the expansion rate of the universe since its discovery in the late 1990s through observations of distant supernovae.
Vacuum Energy and Superluminosity
Vacuum energy refers to the energy that exists in space due to fluctuations of the quantum fields, even in the absence of any particles or radiation. It is a manifestation of the Heisenberg uncertainty principle in quantum mechanics, which allows for the temporary creation of particle-antiparticle pairs from "nothing."
The concept of superluminosity or superluminal phenomena (faster-than-light phenomena) is speculative and not supported by current mainstream physics, as it would violate the principle of causality, a cornerstone of the theory of relativity. However, there have been theoretical explorations of conditions under which apparent superluminal effects could occur without violating causality, such as in the context of quantum tunneling or warp drives in general relativity.
Vacuum Space as Evidence of Superluminous Energy
Your hypothesis suggests that vacuum space or "nothingness" might be evidence of a superluminous energy or vibration at the Planck scale that creates the apparent emptiness of space. This is a speculative notion that would require new theoretical frameworks beyond the standard model of particle physics and general relativity. It also implies that dark energy, the force behind the universe's accelerated expansion, could be related to this superluminous vacuum energy.
While current physical theories and experimental evidence do not support the existence of superluminous phenomena or energies, the history of science shows that our understanding of the universe is constantly evolving. Theoretical proposals that challenge existing paradigms are valuable for pushing the boundaries of our knowledge and prompting new avenues of experimental and theoretical investigation. However, any new theory that proposes mechanisms beyond established physics must be rigorously tested and validated against empirical evidence.
Courtney Seligman added a reply:
1. A vacuum is a region of space with no matter; a super vacuum could be defined in one of two ways, depending on whether it is a concept, or a description of current technology. In the first instance, it with be a region of space with neither matter nor energy (in which case, unless an extremely small region, it does not exist, because any part of space big enough to see without a microscope would at least have light of some sort passing through it (e.g., at least the Cosmic Background Radiation). In the second instance, it could be used to describe a "laboratory" vacuum which has far less matter in it than any previously created laboratory vacuum.
2. The Earth is in a region that is essentially a vacuum, because most of the space between the planets has practically nothing in it at any given time. However, there are cosmic rays and the Solar Wind everywhere, so though merely pieces of atoms, there is some stuff everywhere in space; but the amount is so small that for all "practical" purposes, it is a vacuum.
3. Dark energy is a fiction created by cosmologists to explain why, despite having too little mass for the gravity of that mass to fight the tendency of empty space to expand (per Einstein's General Theory of Gravity), the geometry of the Observable Universe is "flat", which would require something to add up to 100% of the "critical mass" of the Universe, and since visible and unobservable ("dark") matter makes up at most 27% of the critical mass, cosmologists created the concept of dark energy to make up the remaining 73%. However, there is no need to presume that the Universe is flat. Just as the Earth is a globe but looks essentially flat (on the average, and particularly at sea) because you can't see enough of it to see its real shape, the Universe is actually what is called "hyperbolic" in shape, which is exactly what you would expect if its mass is less than the "critical" mass. However, almost all cosmologists are convinced by various characteristics of the Observable Universe that the "real" Universe is at least 1000's and perhaps 10 to the 1000's of times bigger than what we can see, what we can see is too small to see its real shape, so it just looks "flat". Since by definition we can't see anything but the "Observable" Universe, we will never be able to see the true shape of the Universe; so "dark energy" will remain a "useful" fiction for calculation purposes for the foreseeable (if not infinite) future; but I am certain that we will never figure out what it is, because it doesn't exist. (Having been both a mathematician and a professional astronomer, I can assure you that even when something like "dark energy" doesn't exist in real life, creating a mathematical model that includes it, in order to make the math work right, is considered perfectly OK by professional mathematicians.)
Abbas Kashani added a reply:
Introduction The ‘Theory of Everything’ is a hypothetical theory of physics that explains and connects all known physical phenomena into one. There is a possible solution to the origin of gravity force, postulating it as angular piece of this theory, this solution erases gravity as one of the fundamental forces of nature and unifies it with strong nuclear force. Let’s analyze the forces that occur in the universe transforming string theory. It allows to explain many physical behaviors that without its existence would be practically impossible to understand, even so, these strings have not been able to be discovered and are only that, a theory that serves as an important support to the world of physics. One of the best known theoretical applications about them is how their vibration can provoke the creation of matter, but this is not about theories already written, we are going to place these strings in a simpler way to answer some doubts in subatomic world. This theory uses 4 dimensions in space and a behavior as one dimension in strings with superconducting capacities. Like an elastic band between V-shaped sticks where the elastic band slides down, the strong nuclear force, forces these strings to bend to fall dawn.
It’s not directly related to electromagnetism. . Actors . String Theory String theory is a theoretical framework in which the point-like particles of particle physics are replaced by onedimensional objects called strings. Each string that we cross would be the minimum distance that can be traversed during a displacement. We can note two important qualities of strings: Distance to the most distant object detected by the human being is more than 30 billion light years, that means there are beams of light which are able to travel that distance without decreasing its speed (they modify only its wavelength). Like light, an object can move into space for a practically unlimited period, as long as it doesn’t find a force to stop it. If strings exist, they act as a superconductor of matter with a resistance near 0. In order to generate waves it’s easier into a strongly linked structure. Gravitational waves behave like ocean waves which are similar to an uptight net, these tensions can be decomposed as one-dimensional structure for its study. Strings, at same time, could be one or zero-dimensional, like points under extreme bound forces, think about them as something tenser than any cable that holds the heaviest bridge in the world. The new framework we have drawn would be a set of extremely tense strings, with a practically infinite matter conduction capacity. Remember we are moving into universe at a stimated speed of 600km/sc. Strong Nuclear Force Strong nuclear force is another variable. This force allows the atomic nucleus to remain together, being the strongest of the so-called fundamental interactions (gravitational, electromagnetic, strong nuclear, and weak nuclear). Gluon is in charge of this interaction, it has a scope not greater than 10 to the power of -15 meters, preventing matter to separate by a constant attraction force between quarks of maximum 10.000 N (F). This real picture illustrates the three dimensional structure of gluon-field configurations, describing the vacuum properties. The volume of the box is 2,4 by 2,4 by 3,6 fm.Contrary to the concept of an empty vacuum, this induces chromo-electric and chromo-magnetic fields in its lowest energy state. The frame rate into this example is billions of billions frames per second (FPS). Superconducting String Theory (SST): Fundamentals: superconductor of matter interacting with a force that makes that matter hold together, but, how can they interact with each other? The most simple is to think about two V-shaped sticks (simulating the strings), and an elastic band that tight them at the most opened side (it would simulate the gluon, with size 10 to the power of -15 meters). If sticks are sufficiently lubricated and tense, what does the elastic band do? It will slide to the thinnest side. More elastic bands, more force will be exerted on the sticks to join them, so next bands will slide even faster (equally, more mass causes more attraction). We are talking about unknown limits in known world, such as infinite conduction or tensions never seen in materials. Suddenly, we have erased one of the fundamental forces of nature, gravity force doesn’t really exist, exists the strong nuclear force interacting with strings. this theory ‘Superconducting String Theory (SST)’. Calculations: Apply formulas from inclined planes (Newton’s second law). Simulation is in horizontal direction. Friction is imperceptible and acceleration down the plane is matched with gravity acceleration in our planet. Vertical force is not gravity force, it is gluon force, which values ares estimated, so we keep force 10.000 N (F1) and mass 0,0002 eV/c2 (m2). It can be considered vertical angle, but it’s depreciable.Dark energy and universe’s expansion. The behaviuor of the strings implies to have any kind of polaritation to expand, at least, strong enough to avoid get closer and restablish its structure after any contraction. This strength propagates over long distances.Gravitational constant (G = 6,67408 × 10−11 m3 kg-1s -2) and its problem to measure with high accuracy since it can be related to the density exposed. Schrödinger equation, to describe how the quantum state of a quantum system changes with time, similar to Newton's second law. Planck's length (1,616229 × 10-35 m) which can indicate the distance between strings. Gluon size and its larger size far from earth. Black holes.and .....
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Dear Mohammad H. Ali
Ph.D. student of Communication Engineering, Al-Naharin University
Iraq
Hello. Thank you very much for your answer. Abbas
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I only have a microinjector available to me Femtojet eppendorf ( I am new this and have never used the instrument). I would like to create a negative pressure and aspirate spores. The idea is not to load a needle for injection but merely selectively isolate spores from a mixed batch and aspirate them out and collect the spores at the end. Looking at the manual I can see that I cannot aspirate but maybe you creative people have any ideas/suggestions. I have a pump, I was thinking of attaching a syringe filled with cotton bud to reduce the suction or maybe I can use running water with a Y-joint tubing to create negative pressure, any ideas are welcome. Many Thanks Justina
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Here is aspiration into 20..100um plastic orifice https://www.youtube.com/watch?v=hNZXbj0n0LU
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Actually I am working at DSSC and QDSSC , I need to take EIS measurement of the cell/photoanode using Gammery instrument ,. Please suggest me to take the readings in Gammery instrument.
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Hey there Ajaz Ul Haq!
Exciting to hear about your work with DSSC and QDSSC! Electrochemical Impedance Spectroscopy (EIS) is a powerful tool for understanding the behavior of solar cells, so it's great that you're looking to utilize it.
Here's a concise guide to preparing samples for EIS in your application:
1. **Sample Preparation**: Ensure your cell/photoanode is properly fabricated and mounted for measurement. Cleanliness is key here, as any contaminants can affect your results. Make sure the surface is free from any dust, oils, or other residues.
2. **Electrolyte**: Choose an appropriate electrolyte solution for your DSSC or QDSSC system. The choice of electrolyte can significantly impact your EIS results, so select one that mimics your operational conditions as closely as possible.
3. **Experimental Setup**: Set up your Gammery instrument according to the manufacturer's instructions. This typically involves connecting the electrodes, setting the frequency range, and configuring any necessary parameters.
4. **Electrode Configuration**: Depending on your specific setup, you'll need to determine the appropriate electrode configuration for your measurements. This could involve a three-electrode setup with a reference electrode, counter electrode, and working electrode.
5. **Measurement Conditions**: Define the measurement conditions such as applied potential, frequency range, and temperature. These parameters should be chosen based on your specific research objectives and the characteristics of your solar cell system.
6. **Data Collection**: Once everything is set up, you Ajaz Ul Haq can start your EIS measurement. Collect impedance data over the defined frequency range while maintaining the desired experimental conditions.
7. **Data Analysis**: After collecting your data, analyze it using appropriate software or techniques. This could involve fitting equivalent circuit models to your impedance spectra to extract relevant parameters such as charge transfer resistance, capacitance, and impedance.
Remember, consistency and attention to detail are crucial when performing EIS measurements. Take your time to ensure proper sample preparation and experimental setup to obtain reliable results.
Good luck with your experiments, and feel free to reach out if you Ajaz Ul Haq have any further questions or need assistance along the way!
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What could be a link between conformity to hegemonic masculinity and homophobia?
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All people have gender prejudices and biases. Males, females, and the so-called non-binaries do have gender prejudices and biases.
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Hello connection
While performing potency test by using BD FACS instrument some time we few population inside the gate few outside of gate and some time I got population outside of the gate I am not able understand why it happened like I attached one picture please refer that one
Please provide valuable suggestions
Thank you in advance
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While previously used gates can serve as a good starting point, you will need to adjust them using your control samples for each flow cytometry experiment, as there is a certain amount of drift within the measurements.
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Dear Forum Members,
I hope this message finds you well. I am currently considering the purchase of a Q-TOF LCMS-9030 Mass Spectrometer for my laboratory, and I would greatly appreciate hearing from anyone who has experience working with this instrument.
If you have used the Q-TOF LCMS-9030, I would be interested in hearing your thoughts and experiences. Specifically, I am seeking reviews on the instrument's performance, reliability, user-friendliness, and any limitations or challenges you may have encountered.
Your insights will be incredibly valuable in helping me make an informed decision about this purchase. Thank you in advance for sharing your expertise and feedback.
Best regards.
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The LCMS-9030 quadrupole time-of-fight (Q-TOF) mass spectrometer integrates the world’s fastest and most sensitive quadrupole technology with TOF architecture. A product of Shimadzu's engineering DNA, speed and effortless performance enable the LCMS-9030 to address qualitative and quantitative challenges with genuine confidence and ease.
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Dear all, 
After some months of procrastination, we changed 4/5 valves of our Accuri C6 (the ones that were not working), and I've started to check how the instrument is making measurements.
I have 2 issues for which I need help ;
- First, the instrument is unable to calibrate the fluidics. I thought the valve replacement would improve that point, but finally not. Do you have a hint  ?
- When I run the C6 with 0.2µm DI water, the recordings look like the attached picture. The threshold value is 80000 on the FSC-H channel. The event rate is close to 4000/s, and do not depend on the flow rate. 
Could you provide us any help ?
Thank you very much
Jacques FATTACCIOLI
UMR PASTEUR, Département de Chimie Ecole Normale Supérieure http://jacquesfattaccioli.wordpress.com https://microfluidics-master.fr Current address :  Institut Pierre-Gilles de Gennes 6 rue Jean Calvin 75005 Paris Tel/Fax : +33 1 40 79 58 92
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Hi! Have you found a solution to the problem? We seem to have the same issues and I was wondering if you managed to get anywhere.
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I am not an expert in rheology and I have some questions.
I have two different brands of viscometers, a Thermo Electron Viscotester E-L and a Brookfield DV-II+Pro. I can not get the same result with the LV-4 spindle on the Thermo device with the spindle no 64 on the Brookfield device. Theoretically, I know that these two spindles are the same geometry. (Am I wrong?)
In the Brookfield device manual say" When viscosity data must be compared, be sure to use the same test methodology: namely the same instrument, spindle, speed, container, temperature and test time.". One of the results is 30k while the other is around 70k. However, I did not expect a big difference between the two devices. The only thing that comes to my mind is that "Brookfield dsoes not recommend the use of these spindles (LV #4) to perform a calibration check on your instrument. Reasons pertain to the small amount of spindle surface that makes contact with the viscosity standard, the difficulty of establishing the immersion mark precisely and the need for precise temperature control at 25°C in the immediate vicinity of the spindle." mentioned in the device manual.
How do I know which result is correct?
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Setenay Temel Run a standard material of known viscosity on the 2 systems.
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What are your thoughts on using Likert-type scales with another instrument that must total 100? Specifically, I'm curious about using 5-point or 7-point Likert scales in the same study with an instrument that offers a scale where the participant must total 100 with four dimensions. The Organizational Culture Assessment Instrument (OCAI) is the survey I am referring to. Can you pair that with typical Likert-type scales such as the Minnesota Satisfaction Questionnaire (MSQ) which is a 5-item Likert-type scale?
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I am not familiar with the The Organizational Culture Assessment Instrument, but in general, measures that call for a fixed sum are hard to analyze because the separate sections are not independent. For example, imagine a simple version that requires a sum of 100 across only two dimensions, so that if a respondent scores dimension one at 51, then the score for dimension two is automatically forced to be 49. In this case, the two dimensions would be correlated 1.0 because the second one is a linear combination of the first ( Y = 100 - X ). Similar but more complex patterns apply when there are more than two dimensions.
You can read more about this issue under the heading of "ipsative measures."
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What kind of instrument do I need to measure the electrical conductivity of a very low conductive fluid such as mineral oil?
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Md. Nazibul Islam to measure the electrical conductivity of mineral oil, you would typically use an instrument called a conductivity meter or conductometer.
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How to get the Pore Radius value from BJH data obtained using the BET instrument?
As I am confused I got BJH pore size distribution adsorption and desorption data. in which I got two different values of pore radius. which one should I use?
Please give suitable references too.
Thanks in Advance
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@Darren Paul Broom. I fully agree regarding the pore sizes. Made a mistake with nm and Å.
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Hi, can anyone assist me with the acceptable range for peak resolution. Literature states the Rs value should ideally be above 1.5.
From my DOE results I am obtained Rs values in the range 15 - 36 and that is very high, I have done manual calculations and I am still getting very high values >15.
The instrument I am using is Thermoscientific Ultimate 3000 HPLC and the software is Chromeleon 7.1.
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Here is a link to basic HPLC article on common HPLC calculations that every chromatographer should know and understand. It may help you determine if your calculations are correct.
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I am using PCR Instrument called SLAN from HONGSHI. Any clue?
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I think that the parafilm will melt at 95 celsius...
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Hi, How do I look for instrument / tool related to leadership?
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The ILM72 is a reliable measure of 3 core leadership competencies and 6 aspects of leadership style. It is a normative measure. Developed by AQR International in partnership with the UK Institute of Leadership. See www.aqrinternational.co.uk.
The organisation has also developed a valid and reliable mental toughness questionnaire which is very widely used in leadership development. This is also normative and assess mental responses to events. There are 250+ peer reviewed papers supporting this concept.
So the first helps to understand how a leader might act when events occur and the latter explores how the leader might think when events occur.
The two are connected
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What is the wavelength of the X-ray radiation from an x-ray or CT Scan instrument in the medical field (used in hospitals or clinics)?
It is required to know the specific value, not just the range.
I have tried to contact the specific companies, but not get the suitable answers.
Thanks in advance.
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you will never get a specific value because the energy spectrum of the photons emerging from the focus of an x-ray tube is a very broad one ranging from roughly about 20 keV up to the keV value, which is identical to the kV preset of the tube voltage. They are in the range of up to about 30 to 40kV for mammography, in the range of about 50 to 60kV for fluoroscopy of arms and legs and between roughly 80 and 140kV for whole body CT. All the kV values depend on the thickness of the part of the body being examined.
A mean value of the energy spectrum also depends on the depth inside the body part, which your are interested in.
For the primary radiation just at the surface of the body the mean photon energy is roughly about 2/3 to 3/4 of the preset kV value in keV; it depends on the inherent and additional filtration and the take-off angle of the x-ray target.
You may share for what kind of purpose(s) you need such number(s).
Maybe, we can help you...
Best regards
G.M.
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Short Course: Statistics, Calibration Strategies and Data Processing for Analytical Measurements
Pittcon 2024, San Diego, CA, USA (Feb 24-28, 2024)
Time: Saturday, February 24, 2024, 8:30 AM to 5:00 PM (Full day course)
Short Course: SC-2561
Presenter: Dr. Nimal De Silva, Faculty Scientist, Geochemistry Laboratories, University of Ottawa, Ontario, Canada K1N 6N5
Abstract:
Over the past few decades, instrumental analysis has come a long way in terms of sensitivity, efficiency, automation, and the use of sophisticated software for instrument control and data acquisition and processing. However, the full potential of such sophistication can only be realized with the user’s understanding of the fundamentals of method optimization, statistical concepts, calibration strategies and data processing, to tailor them to the specific analytical needs without blindly accepting what the instrument can provide. The objective of this course is to provide the necessary knowledge to strategically exploit the full potential of such capabilities and commonly available spreadsheet software. Topics to be covered include Analytical Statistics, Propagation of Errors, Signal Noise, Uncertainty and Dynamic Range, Linear and Non-linear Calibration, Weighted versus Un-Weighted Regression, Optimum Selection of Calibration Range and Standard Intervals, Gravimetric versus Volumetric Standards and their Preparation, Matrix effects, Signal Drift, Standard Addition, Internal Standards, Drift Correction, Matrix Matching, Selection from multiple responses, Use and Misuse of Dynamic Range, Evaluation and Visualization of Calibrations and Data from Large Data Sets of Multiple Analytes using EXCEL, etc. Although the demonstration data sets will be primarily selected from ICPES/MS and Chromatographic measurements, the concepts discussed will be applicable to any analytical technique, and scientific measurements in general.
Learning Objectives:
After this course, you will be familiar with:
- Statistical concepts, and errors relevant to analytical measurements and calibration.
- Pros and cons of different calibration strategies.
- Optimum selection of calibration type, standards, intervals, and accurate preparation of standards.
- Interferences, and various remedies.
- Efficient use of spreadsheets for post-processing of data, refining, evaluation, and validation.
Access to a personal laptop for the participants during the course would be helpful, although internet access during the course is not necessary. However, some sample- and work-out spreadsheets, and course material need to be distributed (emailed) to the participants day before the course.
Target Audience: Analytical Technicians, Chemists, Scientists, Laboratory Managers, Students
Register for Pittcon: https://pittcon.org/register
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Dear Thiphol:
Many thanks for your interest. Currently, I don't have a recorded video. However, I may offer this course in the future on-line in a webinar format if there is sufficient interest/inquiries.
Thanks again.
Nimal
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17th refers to the experimental parameter code
Material is mesoporous silica nanoparticles (MSN-NH2).
Use deionized water as dispersant and ultrasonic vibration.
The theoretical concentration is 9.6*10^(−5)g/ml.
The instrument used is zetasizer nano zs, the instrument is a bit old.
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Bo Lin There is so much to comment on here. First, run a standard material (e.g. 60, 100, or 220 nm latex) to confirm instrument performance. Pay for a service engineer to visit your site and also an application specialist for training on the instrument. The measurement that has been taken is basically noise and should be discarded. The correlogram should be a nice exponential decay - it isn't... The quality report (in red) tells you all of this and more. The concentration you have is way too low for measurement - the attenuator (position 11) and count also tell you this. You claim to be measuring in DI water and yet you have a temperature set of 113.3 C. What's going on here? Why haven't the automatic settings been used? Hve you filtered the sample free from garbage? You may have large contamination present obscuring the scattering you wish to see? What is the expected size of your silica?
Repeat the experiment with a known standard and contact your local supplier.
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Hello experts and scholars, I would like to ask if I place a radar measuring instrument on a building to measure the vibration characteristics of a nearby building, how can I study the vibration of the instrument itself?
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Put a 3 component geophone on the instrument .. or better yet 6C (add 3 rotational measurements). Several possible vendors. I'd start with Sercel
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Which evaluation instruments are available for phonological awareness testing?
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phonological awareness is tested in IPAS through subtasks of sound deletion and rhyme...
phonological awareness test ( PAT-2) by Carolyn Robertson and Wanda Salter is commonly used.
Metaphonological Skills Test (Prema, 1997) is one test available is Kannada. like that tests are available in different languages.
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basically, we are conducting a electrocoagulation experiment and will be using this process to reduce nitrate to a certain level. However, we are struggling on what reagents to use since the nitrate checker from HANNA instruments is not an option since it can only detect from 0 to 75ppm. In the nitrate checker from HANNA instruments, they used malonic acid for their reagent but I'm not sure if its still useable at higher concentrations of 75ppm or do we use Griess reagent?
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We had a comparison between the portable and stationary instruments related to particulate matter measuring.
The difference was significant about pm2.5.
Does anyone know what is the reason?
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please call to the facultad de geografia uv xalapa
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Hello everyone! Throughout my master's thesis and Ph.D. studies, I have encountered difficulties in achieving optimal clean-up of the UHPLC-ESI-MS/MS system.
My research focus lies in the analysis of peptides derived from plasma samples, and despite implementing an extensive pretreatment procedure aimed at eliminating proteins, particularly albumin, the chromatographic system consistently exhibits issues such as increased noise in the chromatogram and elevated column backpressure. Even the use of a pre-column has not provided a complete resolution to these challenges.
Notably, these problems seem to intensify when my colleagues, particularly those working in the metabolomic field, use the instrument following my experiments. Despite employing a thorough cleaning protocol involving a prolonged gradient elution (lasting approximately 1.5 hours) to ensure the removal of all potential samples residues from the system, the results remain the same.
I would like to know if you have come up with the same problems and if you ahve any insights on potential strategies to overcome these persistent issues. Whether it involves refining the pretreatment procedure, exploring alternative stationary phases, optimizing the cleaning protocol of the system, or considering additional precautions for shared instrument use.
Looking forward to hearing your experiences!
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Hello Mariano,
It is pretty common to have carry-over analyzing plasma/serum samples. Someone recommended me the use of Trifluoroethanol to wash out all retained peptides. Basically you just use it as a sample and inject 1 or 2ul direct onto the column with a relative short gradient. It does not damage the column in my experience, so maybe you can give it a try in the future.
Good luck!
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The project Knowledge in action for urban equality, KNOW ( www.urban-know.com.)has Havana as one of its City-Partners. The project looks for pathways towards urban equality.
One of the main research topics is related to the translation of knowledge about urban equality into planning instruments. We are looking for references.
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How can one determine the stirring and sonication rate needed to get accurate and reliable results by a Mastersizer? We want to use this instrument to get a particle size distribution for a heterogeneous catalyst which we have synthesized.
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Dear friend Roderick Abdilla
Alright, buckle up because kosh is diving into the realm of particle size analysis!
Now, determining the ideal stirring and sonication rate for Mastersizer analysis can be crucial, especially when dealing with a heterogeneous catalyst. kosh's opinion? Precision matters, my friend Roderick Abdilla!
Here's a guideline to help you Roderick Abdilla figure out the sweet spot:
1. **Stirring Rate:**
- Too slow, and your sample might not be well-dispersed; too fast, and you Roderick Abdilla risk agglomerating particles.
- Start with a moderate stirring rate and observe the dispersion. If aggregates persist, gradually increase the stirring rate until an optimal dispersion is achieved.
- It's often wise to consider the nature of your sample—how prone it is to clumping or settling.
2. **Sonication Rate:**
- Sonicating helps break down agglomerates and ensures a more accurate size distribution.
- Begin with a low sonication rate and monitor the effect on particle dispersion. Increase gradually until you Roderick Abdilla achieve a stable and well-dispersed state.
- Keep an eye on temperature—excessive heat generated during sonication might alter the particle properties.
3. **Sample Characteristics:**
- Understand the nature of your catalyst. Is it prone to agglomeration? Does it settle quickly?
- Tailor your stirring and sonication rates to the specific challenges posed by your sample.
4. **Optimization:**
- Run a series of experiments with different stirring and sonication rates. Analyze the resulting particle size distributions.
- Look for consistency and reproducibility in your results. Adjust the rates as needed to optimize for both dispersion and stability.
5. **Consult the Mastersizer Manual:**
- Check the instrument's manual or technical documentation. It often provides guidelines or recommendations for optimal operating conditions.
6. **Consideration for Particle Size Range:**
- Keep in mind the size range you're interested in. Some particles might require more aggressive dispersion methods.
Remember, my advice is a mix of wisdom and bravado. Always validate your findings, and when in doubt, consult with experts (like me) in particle size analysis or the instrument manufacturer for specific advice tailored to your catalyst and experimental setup. Happy particle sizing!
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How can I authenticate the measurements accuracy and precision of online downloaded software instrument.
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I think you should use standard samples to regularly verify instrument accuracy. Alternatively, high-precision instruments can be used in parallel or series to calibrate the instrument under test.
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Our hospital lab uses 5 biochemical auto analyser for patients samples analysis. Which quantity assurance protocol is best for the agreement of results of these instruments? Please examlify with number of samples, repeats and statistical tests analysis.
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Example of using simple range statistics: You run a sample on all 5 instruments and note the difference of largest and smallest result = range. You can convert this range to an estimate of standard deviation https://influentialpoints.com/Training/using-range-to-estimate_sd.htm. If you need an acceptance rule you must first define a target for this sd (= range) and a suitable coverage factor (to correct for random extreme values, e.g. 1.5) for the range. So if your results sd (range) estimate is smaller than 1.5* target sd (range) you are OK. Numeric example: Calculated range from 5 parallel samples is 10 units and you say that the acceptable sd is 4.0 units. From table https://influentialpoints.com/notes/n3ble01.htm you see that the sd estimate is 10*0.430 = 4.3 (5 results) that is over your criteria. But you realize that there could be random extreme values ("outliers"). The range estimate from sd for 5 results is 4.0/0.430 = 9.3. You multiply this range with a factor of 1.5 and get an accepted range of 14 units. As long as the range of results is under 15 you can accept the results.
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Most often our research labs might not have certain instruments that are necessary for the analysis of sample. Which research institute/Lab/educational institution provides best services for various research requirements such as sequencing, GCMS/LCMS, NMR, FTIR, HPLC-MS etc.
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There are thousands of private and public institutes all around the world doing such services.... Some universities may even work in collaboration if results are "research grade" and may be published.
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My instrument has 50 item from 6 IV and 1 DV, which is measured using likert scale. Prior to EFA, i need to remove outliers. what method should use? Univariate method or multivariate method?
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First ask yourself why you would remove outliers? You should only do that if they are really mistakes, absolutely not because "they don't seem to fit in the model". It would be helpful for us here if you could share some data.
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What is the reason making the cyclic voltammograms looking so noisy like in the uploaded picture? is it a bad connection? something wrong with the instrument? or bad graphite source?
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It may be attributed to unclean electrodes or unfilled reference electrode Which will increase its resistance leading to oscillating current. Also, it may be attributed to low scan rate which will decrease signal to nois ratio. You can also see the connection of the electrodes if ok or not
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Rather than using a UV-Vis spectroscopy instrument, is it possible to develop a camera application that can perform the same work?
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spectroscopic camera is available in market you can use but it is not so useful
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definition of statutory instruments and its effect on profitability of banking sector
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In my opinion, statutory tools are the policies or methods applied by the RBI to control and direct the Banking system in the economy, i.e., CRR, repo Rate, SLR, minimum lending rates, etc.
This tools were very important in the Economy, as it is directly affecting the money supply in the Economy which is intermediated by Banks. If banks are not performing well, then RBI can take such statutory measures by changing the flow of money in the economy and convert the non performing ones.
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I have obtained internal quantum efficiency from the instrument. But how can we calculate external quantum efficiency?
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You should be able to get the basics from the RCA(Burle) Handbook. But the basics are: excite the phosphor assembly with its operational source. Units will be in watts. Measure the out put in lux. Convert Lux to lumens. The external efficiency is by convention in terms of lumens per watt. If you need to turn it into a true external Q.E. Then you will need to convert lumens to watts by dividing by the luminous efficacy. The RCA handbook will give you the equations to do that.
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The topic is related to the use of artificial intelligence, namely the ChatGPT tool in the educational process in the open system, as well as in the open system in the financial field. What direct implications do you think will be in the field of education, finance and in the future of jobs.
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Many special thanks Professor Stefan Bernhard Rüster! All my best regards and success in your research!
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the impacts of statutory instruments on banking perfomance
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Statutory instruments can impact bank performance by influencing regulatory compliance, risk management, and operational procedures. They often set rules and requirements that banks must adhere to, affecting their stability, competitiveness, and ability to adapt to changing market conditions.
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I am doing a chronopotentiometry study on a two electrode system using a CH instrument. I have only done studies on 3 electrode systems till now and connected the red cable to the counter electrode, white cable to the reference electrode and green one to the working electrode. when changing into two electrode system, to which electrode should I connect each of these cables?
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Dear Meenakshi,
For the two electrode system, counter and reference electrode will be short make it one electrode cable and on other side working cable connected to your working electrode. In your scenario you should short the red and white cable and green connected to working electrode. and also you sholud know that what electrodes you are using in two electrodes system.
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I want to perform Photodetection studies of my bulk powder sample, but don't have any idea where to start. so it will be very helpful for me if someone who knows about this topic can give some suggestions.
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In the late 60s there were sone publications made on AC biased photoconductors, sometimes it was called microwave bias. Also, these days there are microwave based, light pulse excitation based instruments for carrier lifetime mesaurements in silicon wafers
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I'm looking for a luxmeter to take measurements at night. I also want to calibrate other instruments using this certified luxmeter.
Thanks for your suggestions!
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Johanne Roby Here are some ISO-certified luxmeters that offer high accuracy (at least 0.1 lux) and can be used for night measurements and instrument calibration: Konica Minolta T-10A Illuminance Meter:This luxmeter is known for its accuracy and reliability. It meets ISO 17025 calibration standards. It has a wide measurement range and high sensitivity, making it suitable for low light conditions. It's often used in various industries, including photography and environmental monitoring. Hagner E4-X Luxmeter:The Hagner E4-X offers excellent accuracy and repeatability. It's calibrated according to ISO 17025 standards. This luxmeter is designed for professional use and can handle low light measurements effectively. KERN KERN-LUX-18 Luxmeter:The KERN-LUX-18 offers high accuracy and is ISO 9001 certified. It's a handheld luxmeter with a user-friendly interface. It's suitable for a wide range of applications, including architectural and industrial lighting measurements. Gossen MAVOLUX 5032C/B USB Luxmeter:This luxmeter is known for its precision and versatility. It's compliant with ISO and DIN standards. It can measure both illuminance and luminance, making it suitable for a variety of tasks. Konig KN-LUX40 Luxmeter:The Konig KN-LUX40 is a budget-friendly option with good accuracy. It's often used for basic illuminance measurements and can be a reliable choice for general use. Before making a selection, it's important to consider your specific requirements, such as the measurement range, features, and budget. Additionally, ensure that the luxmeter you choose comes with a valid calibration certificate to maintain accuracy and traceability for your calibration needs.
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The CV plots of buffer solutions having PH 3-10 was done using CH instrument as well as using AutoLab. Both the results have different peak positions and different shapes.
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Sukanya Goswami Differences in cyclic voltammetry (CV) results obtained using different instruments can be attributed to several factors:
Instrument Calibration: Each instrument may have variations in calibration, affecting the accuracy of the measurements. Calibration ensures that the instrument's response matches the actual values of the analyte.
Electrode Properties: The type, condition, and surface properties of the working electrode can influence CV results. Variations in electrode materials or preparation can lead to different responses.
Electrolyte and Buffer Solutions: Differences in the composition, pH, and ionic strength of the buffer solutions used can affect CV results. pH, in particular, can significantly influence the shape and position of peaks.
Instrument Sensitivity: The sensitivity of the instruments to small changes in current or voltage may vary. Some instruments may have higher sensitivity, allowing them to detect subtle changes in the electrochemical behavior.
Electrode Geometry: The geometry and size of the working electrode can impact CV results. Variations in electrode geometry can lead to differences in mass transport and kinetics.
Instrument Electronics: The electronics and data acquisition systems of different instruments can vary, affecting how the data is recorded and processed.
Experimental Conditions: Variations in experimental conditions, such as scan rate, temperature, and electrode potential range, can lead to differences in CV results. These parameters can influence the kinetics of electrochemical reactions.
Instrument Limitations: Some instruments may have limitations in terms of the range of potentials they can apply or the frequencies they can measure, which can impact the CV data.
To address these discrepancies and ensure reliable CV data, it's essential to:
- Calibrate instruments regularly to minimize errors.
- Use consistent and well-prepared electrodes.
- Standardize buffer solutions and experimental conditions.
- Compare results with known standards or reference electrodes.
- Conduct experiments on both instruments under identical conditions for direct comparison.
- Investigate the instrument-specific factors that may contribute to differences and consider adjustments if necessary.
Understanding the sources of variation between instruments and taking appropriate measures can help reconcile differences in CV results obtained using different equipment.
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I need a tool to measure the quality of care from nurses perception in accredited hospitals
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Measuring the quality of care from nurses' perceptions in accredited hospitals often involves the use of standardized instruments or surveys designed to gather valuable insights from nursing staff. Here are a few commonly used tools and instruments for this purpose:
1. Nurse Satisfaction Surveys: These surveys are designed to assess nurses' overall satisfaction with their work environment, including factors related to patient care. The Practice Environment Scale of the Nursing Work Index (PES-NWI) is a widely recognized tool for this purpose.
2. Nurse-Patient Ratio Assessment: The nurse-patient ratio is a critical factor affecting the quality of care. Hospitals often use specific tools or software to track and evaluate nurse-to-patient ratios and workload to ensure optimal patient care.
3. HCAHPS (Hospital Consumer Assessment of Healthcare Providers and Systems): While not exclusively focused on nurses, the HCAHPS survey collects patients' perceptions of their hospital experiences, including interactions with nursing staff. Nurse perceptions can indirectly be assessed through patient feedback.
4. Nurse Job Satisfaction Scales: Tools like the Nursing Work Index-Revised (NWI-R) or the McCloskey/Mueller Satisfaction Scale can assess nurses' job satisfaction, which is closely related to the quality of care they provide.
5. Nursing Quality Indicators: Some hospitals use specific quality indicators or dashboards to track nursing-related quality metrics, such as falls, pressure ulcers, medication errors, and infection rates.
6. Qualitative Interviews and Focus Groups: While not traditional instruments, qualitative methods like interviews and focus groups can provide in-depth insights into nurses' perceptions of the quality of care. They allow nurses to express their views and concerns more freely.
7. Nursing Documentation Audits: Reviewing nursing documentation, including patient records and care plans, can help assess the quality of care provided. Specific audit tools can be developed to evaluate documentation accuracy and completeness.
8. Nursing Peer Review: Establishing a peer review process where nurses evaluate and provide feedback on each other's care practices can be a valuable internal assessment tool.
9. Clinical Care Audits: Hospitals may conduct periodic clinical care audits using established criteria and checklists to assess the quality of care provided by nursing staff.
10. Customized Surveys: Depending on your specific research or evaluation goals, you may need to design a customized survey instrument tailored to the quality indicators and factors that matter most in your hospital setting.
When selecting or designing an instrument to measure the quality of care from nurses' perceptions, consider factors such as the hospital's accreditation requirements, the specific aspects of care you want to assess, and the intended use of the data (e.g., quality improvement, research, benchmarking). It's essential to ensure that the instrument you choose aligns with your objectives and provides actionable insights for enhancing the quality of care in accredited hospitals.
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I'm working on cultural identity, couldn't find the instrument or scale.
Anyone can guide me?
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Measuring cultural identity is a complex but essential task in social and cultural research. While there isn't a one-size-fits-all instrument that universally captures cultural identity, there are several established approaches and scales that researchers often use to assess cultural identity. Here are some commonly used methods and considerations:
1. Self-Identification: One of the simplest ways to measure cultural identity is by allowing individuals to self-identify with a particular cultural group or groups. This can involve asking survey respondents to choose their cultural affiliation(s) from a list or provide an open-ended response.
2. Ethnicity or Nationality Scales: Researchers often use scales that ask individuals about their ethnicity, nationality, or cultural background. These scales may include items related to ancestry, birthplace, and self-identification with a specific cultural group.
3. Multidimensional Scales: Cultural identity is multifaceted and may encompass various dimensions such as ethnic identity, acculturation, cultural practices, and values. Multidimensional scales like the Multigroup Ethnic Identity Measure (MEIM) or the Acculturation Rating Scale for Mexican Americans-II (ARSMA-II) can assess different aspects of cultural identity.
4. Cultural Values Scales: To measure cultural values associated with a particular identity, researchers may use scales like the Cultural Identity Scale (CIS) or the Value Orientations Inventory (VOI). These scales assess cultural values, beliefs, and norms.
5. Narrative Interviews: Qualitative methods like narrative interviews can provide in-depth insights into individuals' cultural identity. Participants share personal stories and experiences related to their cultural background, offering a rich understanding of identity.
6. Identity Development Scales: For studying how cultural identity develops over time, researchers may employ identity development scales such as the Multigroup Ethnic Identity Measure-Revised (MEIM-R) or the Erikson Psychosocial Stage Inventory.
7. Acculturation Scales: In cases where individuals navigate multiple cultural identities, acculturation scales like the Bidimensional Acculturation Scale for Hispanics (BAS) can help assess the balance between one's heritage culture and the dominant culture.
8. Cultural Identity Index: Researchers sometimes create their own indices or composite measures based on a combination of relevant variables and questions. This allows customization to fit the specific cultural identity being studied.
When selecting an instrument or approach to measure cultural identity, consider the following:
- The specific aspects of cultural identity you want to assess (e.g., ethnicity, values, acculturation).
- The cultural context of your study and the relevant cultural groups.
- The population you are working with (e.g., children, adolescents, adults).
- The research goals and questions you aim to address.
It's essential to choose or adapt a measurement approach that aligns with your research objectives and the cultural groups you are studying. Additionally, consider the cultural sensitivity and appropriateness of your chosen instrument, and be open to qualitative methods when in-depth insights are needed.
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Dear researchers,
I am conducting a research on how eating behaviours and body dissatisfaction contribute to the stress level among undergraduate students in Malaysia for my Final Year Project. However, I need the Malay version of Eating Attitudes Test (EAT-26) as one of my instrument and I could not find it.
To anyone who has the Malay version, can you please send a copy to me or can you please tell me who should I contact?
Thank you very much.
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Farah Nadia Jamaluddin Obtaining a translated version of a psychological assessment like the Eating Attitudes Test (EAT-26) in a specific language often involves a few steps:
1. Contact the Original Authors: Reach out to the original authors of the EAT-26 to inquire whether a Malay version exists or if they can provide guidance on how to obtain it. They may be aware of translations done by other researchers.
2. Contact Local Universities: Contact universities or research institutions in Malaysia that focus on psychology or eating behavior studies. They might have researchers who have translated or adapted the EAT-26 into Malay for their own studies.
3. Explore Academic Journals: Search academic journals and databases for published studies conducted in Malaysia that used the Malay version of EAT-26. These studies may include references to the translated questionnaire or contact information for the researchers who conducted the translation.
4. Consult with Faculty Advisors: Consult your faculty advisors or professors who specialize in psychology or related fields. They may have connections or knowledge of resources related to psychological assessments in Malay.
5 Ethical Considerations: Keep in mind that when using a translated version of a psychological assessment, it's essential to ensure that the translation is culturally appropriate and that you have the necessary permissions and ethical approvals to use it in your research.
6. Translation Process: if you cannot find an existing Malay version, you may need to consider translating the EAT-26 yourself. This process typically involves forward and backward translation by bilingual experts and validation to ensure the translated version maintains the intended meaning and reliability.
Remember to adhere to ethical guidelines and obtain any required permissions when using psychological assessments in research. Obtaining a translated version of an assessment may take some effort, but it's crucial to ensure the validity and reliability of your research findings.
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Dear
I have PerkinElmer instrument. I am facing a Problem. I am not understanding how i can change unit from "mV to mAU" on software. so that my plot can appear mAU versus concentration. Can anyone guide me in this regard. My software is totalchromnavigator
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Ambreen Latif To change the unit from "mV" to "mAU" on your PerkinElmer HPLC instrument's TotalChrom Navigator software for plotting mAU versus concentration, you can follow these steps:
1. Open the TotalChrom Navigator software on your computer.
2. Load or open the chromatogram or data file you want to work with.
3. In the software's main interface, locate the settings or options menu. It may be labeled as "Instrument," "Data Analysis," or something similar.
4. Within the settings or options menu, look for a section related to signal or detector settings. This is where you can configure how the data is displayed.
5. In the signal or detector settings, you should find an option to change the unit of measurement. It may be labeled as "Units" or "Signal Units."
6. Select "mAU" (milli-absorbance units) as the desired unit for your detector or signal.
7. Save or apply the changes.
Once you have changed the unit to "mAU," your plot should display absorbance in milli-absorbance units versus concentration. Make sure to check your instrument's user manual or software documentation for specific instructions tailored to your PerkinElmer HPLC system and software version, as menu options may vary slightly depending on the software version and instrument model.
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Can anyone suggest any methods to measure the RPM of a magnetic stirrer that does not have any scales written on the instrument itself, nor in its operation manual?
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Consider using a stroboscopic system to "freeze" the stirrer and relate it to the image capture frequency. Stroboscopic illumination, or cameras used in machining mechanics may be useful.
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I'm planning to run a single cell analysis experiment using the C1 Fluidigm Instrument. In my case, there is a limitation on the size of the cells that can be captured by the instrument 10-17um. I plan to use Calu-3 cells for my experiments. What is the average size of Calu-3 cells? Does it fit the criteria?
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what is the ATCC for RPMI 1640/ Calu-3 cells without cancer ?
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I am having trouble quantifying 6:2-Fluortelomersulfonsäure (6:2-FTS) using LCMSMSMS because of contamination. The sample is river water or ultrapure water, concentrated 1000x by solid phase extraction (Oasis® WAX; Waters, Milford, MA, US) and analyzed by LCMSMSMS (Xevo TQ-S micro (Waters)). The calibration range is 1~50 µg/L, but even ultrapure water may produce a chromatogram equivalent to several tens of µg/L of 6:2-FTS. Teflon is not used in the analysis. Glass instruments are cleaned with acetone and plastic instruments are cleaned with methanol before use. If anyone has faced a similar problem, I would like to know how to solve it. Thank you in advance.
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Hi Yoshifumi,
Have a look inside the cap of your solvents. All analytical solvents come with a Teflon linear under the cap. Therefore, there is a lot of contamination (mainly from PFOA and PFPeA) but also from FTS. We found one manufacturer supplying Methanol without a Teflon liner, and our background contamination dropped below ~5 ng/L. I strongly suggest that everyone involved in PFAS research contact their sales rep to source Teflon-free solvents. The more pressure manufacturers have from researchers, the quicker this will change.
Regards,
Brett
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Does strong correlation among the items in survey questionnaire, provides information on validity and reliability of that instrument?
For example. There are five items under a theme" happiness" for survey questionnaire. The item-total correlations for the five items were: 31, .63, .61, .75, and .66, thus, does it provides some information about reliability and validity of the items.
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1) I suggest you to read about 'Item-total correlation' [https://sciencing.com/calculate-item-total-correlation-coefficients-8726484.html]
2) The correlations must be statistically significant.
3) Are we talking about item-item correlation (first paragraph, you have 10 values?) or item-total correlation (second paragraph)?
4) Which correlation coefficient was used for the calculations?
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potentiodynamic polarization measurements for voltalab 100 is very noisy, how I can decrease this noise?
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Potansiyodinamik Polarizasyon voltalab 10 cihazına uyarlanmalı. Oluşan Polarizasyonda potansiyel ve dinamik güç ayrı ayrı hesaplanarak gürültü azaltılabilir
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Please explain about the IRF (Instrument Response Function)? How it is measured and why it is important?
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There are two different questions here:
1. The IRF is a way of characterising the system itself, it tells you how the excitation beam is arriving at the computer. There are a number of factors that can influence this, see this page: https://www.edinst.com/instrument-response-function-widths-minimum-measurable-lifetimes-in-the-fls1000/ for more details of the factors that can distort the original excitation pulse.
2. Rise Components are when the measured fluorescence decay has a lifetime component with a negative A-factor. This appears as a broadening and skewing of the decay, such that the peak is no longer sharp and may be a few ns from the IRF peak. This is observed in samples with excited state proton transfer when the initially excited molecule [T1*] undergoes tautomerisation to another excited state [T2*] and emission is seen from both tautomers. See doi:10.1016/j.jphotochem.2011.10.024 and DOI: 10.1111/j.1751-1097.2012.01140.x for illustrated TCSPC decays
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I am looking for a questionnaire that can be used to assess the sexual & reproductive health needs of students.
Thank you for your help.
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That might be tricky as sexual satisfaction refers to penetrative sex traditionally and explores erectile function arousal orgasm plateau which requires some form of sexual activity. Please provide more information with regards to your scope re: primary outcomes
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I am a doctoral student needing to obtain permission to use the PSOC survey instrument to pass IRB. Any suggestions? The author is Charlotte Johnston in Canada.
Kimberlee K. Spicer
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What do you specifically need permission to use? For reprints or publication copyright permissions, you can contact the publisher. https://www.tandfonline.com/doi/abs/10.1207/s15374424jccp1802_8?tab=permissions&scroll=top&role=tab
You may also choose to reference the original paper instead? - Development and Utility of the Parenting Sense of Competence Scale
By Jonatha Gibaud-Wallston, Lois Pall Wandersmann 1978
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. xtabond2 IndicedeTheil PIBparhabitantUSconstants InflationdéflateurduPIBa ITC Créditintérieurfourniausecte, gmm( IndicedeThei
> l, lag(2 4)collapse) iv( PIBparhabitantUSconstants InflationdéflateurduPIBa ITC Créditintérieurfourniausecte) twostep small n
> odiffsargan
Favoring space over speed. To switch, type or click on mata: mata set matafavor speed, perm.
Dynamic panel-data estimation, two-step system GMM
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Group variable: codepays Number of obs = 171
Time variable : Année Number of groups = 10
Number of instruments = 9 Obs per group: min = 12
F(4, 9) = 559.85 avg = 17.10
Prob > F = 0.000 max = 20
----------------------------------------------------------------------------------------------
IndicedeTheil | Coef. Std. Err. t P>|t| [95% Conf. Interval]
-----------------------------+----------------------------------------------------------------
PIBparhabitantUSconstants | .0000781 .0000141 5.53 0.000 .0000461 .00011
InflationdéflateurduPIBa | -.0137815 .0021388 -6.44 0.000 -.0186197 -.0089432
ITC | .0045328 .0029732 1.52 0.162 -.002193 .0112587
Créditintérieurfourniausecte | -.0241084 .0106227 -2.27 0.049 -.0481386 -.0000781
_cons | 3.522798 .8558666 4.12 0.003 1.586694 5.458903
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Warning: Uncorrected two-step standard errors are unreliable.
Instruments for first differences equation
Standard
D.(PIBparhabitantUSconstants InflationdéflateurduPIBa ITC
Créditintérieurfourniausecte)
GMM-type (missing=0, separate instruments for each period unless collapsed)
L(2/4).IndicedeTheil collapsed
Instruments for levels equation
Standard
PIBparhabitantUSconstants InflationdéflateurduPIBa ITC
Créditintérieurfourniausecte
_cons
GMM-type (missing=0, separate instruments for each period unless collapsed)
DL.IndicedeTheil collapsed
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Arellano-Bond test for AR(1) in first differences: z = -0.35 Pr > z = 0.724
Arellano-Bond test for AR(2) in first differences: z = -0.68 Pr > z = 0.498
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Sargan test of overid. restrictions: chi2(4) = 141.46 Prob > chi2 = 0.000
(Not robust, but not weakened by many instruments.)
Hansen test of overid. restrictions: chi2(4) = 5.04 Prob > chi2 = 0.283
(Robust, but weakened by many instruments.)
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The Arellano-Bond test is used to test for autocorrelation in the first-differenced errors of a dynamic panel data model. If the test does not reject the null hypothesis of no autocorrelation, it suggests that the model is correctly specified and that there is no serial correlation in the errors.
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I have used a 5-point likert scale for my research on 'catalysing spiritual transformation'. The scale has 20 items divided equally across 4 domains (factors). It is a dual response scale and the first response rates the goal while the second response rates the accomplishment. It is a proven scale which has been validated for content and construct across continents. However, since I am using a translation for the first time, the author of the instrument who approved my translation, suggested that it is proper to do a fresh 'construct' validation for the translation. Accordingly I prepared to do CFA and found that my sample size after joining pretest and posttest data was only 174. I would like to join the two sets of responses of each questionnaire and double the sample size to 348, considering the fact that both sets of responses have identical structures though with different foci. I also noticed from the correlations matrices for the two sets of responses and the combination, that the correlation coefficients are significantly better for the combination and are all positive and > 0.5. Will it be scientifically sound to join the data of the two sets of responses and double my sample size as above?
Look forward to your valuable thoughts.
Thankfully
Lawrence F Vincent
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Certainly! Combining data from a double-response questionnaire for Confirmatory Factor Analysis (CFA) involves preprocessing the responses, matching participants' data, integrating the two sets of responses into a single dataset while maintaining proper labeling, and then performing CFA to validate the hypothesized factor structure. This unified analysis allows you to assess how well the latent factors correspond to the observed variables from both sets of questions, providing insights into the underlying relationships between the constructs being measured. It's important to ensure that the data are compatible and that the assumptions of CFA are met during this process.
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Assuming I self-developed an instrument which I want to test its reliability and I am to select between these two, which of them will you recommend.
I am actually conscious of the "time interval" issue regarding the use of the former.
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These are two different kinds of reliability (test-retest reliability vs. internal reliability).
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I am looking for a questionnaire that can be used to assess the sexual & reproductive health literacy of students.
Thank you for your help.
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Hsin-Yuan Chen Thank you for your guidance.
We will be using Iranian individuals between the ages of 18 and 24 as a representative sample.
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Hi, friends
I wrote two manuscripts regarding validations of two different instruments using a same sample.
Even though the two instruments are different, the demographic description is similar because they used same sample. In this case, it could be considered as plagiarism??
Is there anyone who wrote different manuscripts using a same sample?
I published one manuscript about A instrument. The other manuscript about B instrument is under review and one of reviewers pointed out that the manuscript had a risk of plagiarism.
In this case, what should I do??
Please give me a helpful tips.
Thank you so much.
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It is only natural that research on the same sample will have overlap in terms of the description of the participants. This can make life easier because you can prune the table 1 part of the paper to a basic description and refer the reader to the first paper for a more detailed description. Researching distinct research questions using the same sample isn't plagiarism, it's making good use of the data. Indeed the problem is often that substantial amounts of material is left unanalysed in datasets. This is an ethical point, because participants provide the data for nothing, often putting in significant amounts of work, and have a right to expect that the data will be used to benefit the community they represent.
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I saw many examples, in classes, videos or tutorials, of creating a profile file of an XRD instrument, for Rietveld Refinement. But I did not understand how the standards are used to do this.
I know that the total peak broadening of a sample is the summation of the broadening related to this sample and the one related to the instrument, because the instrument itself provides some broadening, this is clear to me. That's why we measure the pattern from some standard, like LaB6 or Silicon-NIST, to determine how the broadening of the instrument is.
However, I don't see any tutorial or video taking into account the crystalite size and microstrain of these standars. Are they equal to 1, or something like it? I can't understand how they just refine the instrument parameters and "ignore" the characteristics of the standards.
Sincerely,
Ricardo Tadeu.
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please have for example a look at the section ' Information values: ' at page 3 of the following link to a NIST certification for LaB6:
Here it is stated, that
a) the measured the 'domain' size (=crystallie size) is 2µm, and
b) that there is no residual strain.
2µm is large enough to have no significant size boadening of the XRD peaks.
Best regards
G.M.
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Most studies discuss clinical practice guideline development process, of which, the tool can be used to appraise clinical practice guidelines. However, I seem to not get quality assurance instruments for generic guidelines. Can one use same as with clinical practice guidelines? Example AGREE-HS or are there other tools to determine the quality of a well developed generic guideline (content, structure, flow, presentation) or are there recommended characteristics required for generic guideline development and appraisal?
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Good question, and I think you're on the right track. AGREE-HS is the only appraisal tool that I'm aware of that is more geared towards non-clinical guidelines. As with most appraisal tools, it also focuses on clarity of presentation, systematicity in methods and transparency of reporting, and compositition and potential conflicts of interest of the guideline panel.
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I have design a polymeric hydrogel, done BET of that, degas that at 120 C for 16 hours but surface will become negative. Please help me out what should i do?
(Mention that there is no leakage of gas and instrument is calibrated)
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Hi Huzaifa Shafique
It seems like you have designed a polymeric hydrogel and performed BET analysis and degassing at 120 degrees Celsius for 16 hours. However, you encountered a problem where the hydrogel's surface became negatively charged. To address this issue, you can consider the following steps:
Check for contamination during synthesis or preparation and ensure cleanliness of equipment and reagents.
Adjust the pH of the hydrogel to a neutral or slightly basic range to reduce the surface charge.
Investigate the effect of ionic strength by conducting experiments in different ionic strength solutions.
Consider surface functionalization to introduce positive charges through crosslinkers or copolymerization.
Use additional characterization techniques like zeta potential measurements, XPS, and FTIR to understand surface properties.
Modify the polymer composition or synthesis method to control surface charge.
Conduct a literature review to find insights and solutions from other studies.
Overall, achieving the desired surface charge may require experimentation and optimization, and seeking guidance from supervisors or colleagues can be beneficial.
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Please assist by sharing articles that examined self image as variable, looking for existing instruments for my study.
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Below is a sample questionnaire to assess the self-image variable. The questions are designed to understand how individuals perceive themselves and their self-image. Participants can respond using a Likert scale (e.g., 1 to 5) to indicate the extent to which they agree or disagree with each statement.
  1. How do you feel about your overall appearance?Very Dissatisfied Dissatisfied Neutral Satisfied Very Satisfied
  2. I believe I have positive qualities and attributes.Strongly Disagree Disagree Neutral Agree Strongly Agree
  3. How confident are you in your abilities and skills?Not Confident at All Slightly Confident Moderately Confident Confident Extremely Confident
  4. I often compare myself to others to assess my self-worth.Never Rarely Sometimes Often Always
  5. How do you perceive your intelligence and academic abilities?Very Low Low Average High Very High
  6. I feel comfortable expressing my opinions and ideas in a group setting.Strongly Disagree Disagree Neutral Agree Strongly Agree
  7. How much do you value and appreciate yourself as an individual?Not Valued at All Slightly Valued Moderately Valued Valued Highly Valued
  8. I often feel insecure about my body image.Strongly Disagree Disagree Neutral Agree Strongly Agree
  9. How satisfied are you with your achievements and accomplishments in life?Very Dissatisfied Dissatisfied Neutral Satisfied Very Satisfied
  10. I am proud of who I am and what I have achieved.Strongly Disagree Disagree Neutral Agree Strongly Agree
  11. How often do you experience feelings of self-doubt?Never Rarely Sometimes Often Always
  12. I am comfortable with the way I handle challenges and setbacks.Strongly Disagree Disagree Neutral Agree Strongly Agree
  13. How do you view your interpersonal relationships with others?Very Poor Poor Average Good Very Good
  14. I feel satisfied with the decisions I make in life.Very Dissatisfied Dissatisfied Neutral Satisfied Very Satisfied
  15. How do you perceive your self-worth and importance in society?Very Low Low Average High Very High
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I see that there are many screw-top tubes that are prefilled with glass beads, but these are usually used with bench-top homogenizers. I'm curious if it would work to use these tubes with a vortex instead of having to buy a new instrument. Has anyone tried this when homogenizing animal-tissue samples? If so, was the rest of your protocol successful?
FYI: We are interested in using this in a protocol for RNA extraction because our current workflow hasn't been giving us the best results.
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There is actually some configuration designed specifically for this. See the general guidelines for beads selection, and at the bottom there is a commercial Bead Tube Holder on a Vortex-Genie 2
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I am currently conducting research on body image satisfaction and need to find appropriate instruments for measurement. I am looking for tools or questionnaires that specifically assess body image satisfaction among participants.
As I am still a final-year undergraduate student, I prefer to use instruments that are freely available and do not require any payment or subscription.
If anyone could suggest such instruments or questionnaires that have been used in previous research or are commonly available, I would greatly appreciate it.
Thank you in advance!
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Top 500” Nigerian Authors for year 2020-2023 in Nigeria as captured by SciVal (An instrument used by the publishing giant, Elsevier and the Times Higher Education to rank World Class Universities).
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Heigher education
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Hello everyone,
I'm working on Wetland. I want to buy an instrument by which I can assess the physico-chemical parameters. Based on your experience please suggest which instrument is suitable for it.
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ICP-MS is good option for chemical analysis of water. For pH, specific conductivity separate instruments are required.
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About application of Bio-Rad iMark Microplate reader beyond immunoassays.
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They are also good for BCA assays, ELISA assays and any assays with a luciferase output.
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One of the instruments I am using in a study is official documents cotaining statistical data (figures, diagrams and charts); can this data be used in the qualitative phase of my study, knowing that the source is official documents, or it is quantitative in nature and should be used only in the quantitative phase?
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One classic use for quantitative data in a qualitative study is a mixed methods design, based on a sequential explanatory format (QUAN --> qual). In this case, your goal is to use the follow-up qualitative data to help understand the quantitative data.
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What does it mean to say that a survey instrument has been validated . . . so what?
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Is this discussion on this topic "What is a validated survey instrument?" still open? Or have all questions abound given an adequate answer?
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I need views and enlightenment from researchers about analyzing the data related to cross-cultural adaptation. What should I do to test the construct validity of an instrument which doesn't have a domain? Can I run the CFA, or only use item-total correlation to do a construct validity?
For additional information, the instrument has ten items with no domain.
Please kindly provide your suggestions related to this.
Thank you very much.
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As a language model, I can provide some general guidance on analyzing data related to cross-cultural adaptation, but please note that this is not a substitute for consulting with a qualified researcher or statistician.
In general, when testing the construct validity of an instrument without a domain, you can use exploratory and confirmatory factor analysis (EFA and CFA) to determine the underlying dimensions or constructs that the items are measuring. EFA is useful for identifying the number and nature of the factors in a dataset, while CFA is useful for testing a pre-specified factor structure.
You can also use item-total correlation analysis as a preliminary step to assess the construct validity of the instrument. Item-total correlation analysis involves calculating the correlation between each item and the total score of the instrument. Items with low correlation coefficients may suggest that they do not fit well with the overall construct being measured.
However, it's important to note that there is no single "correct" method for testing the construct validity of an instrument. The appropriate method will depend on the specific characteristics of the instrument and the research question being addressed.
Given that your instrument has ten items with no domain, it may be challenging to identify the underlying constructs without conducting a more in-depth analysis. One approach could be to conduct an EFA to explore the factor structure of the instrument and identify any underlying dimensions. Once the underlying dimensions have been identified, you can then conduct a CFA to confirm the factor structure.
Overall, it's important to carefully consider the research question and the characteristics of the instrument when selecting an appropriate method for testing construct validity. Consulting with a qualified researcher or statistician can also be helpful in ensuring that the appropriate methods are being used.
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Dear All, I am trying to employ the CMP model to estimate recommended fertilizer dosage adoption's impact on ROI. The dataset contains seven years of balanced panel data. The endogenous variable is the Adoption decision (AdoptNot), and the instrumental variables for 'AdoptNot' are ‘FarmExp’ and ‘logOffFarmEarnTk.’ Following Dr. David Roodman's work, I have tried to construct the model as:    cmp (ROI = AdoptNot# IrriMachineOwn Seekinfofertilizer ACode EduC HHnumberCat HHLabor FarmExp LandSizeDec LandTypeC Landownership  SoilWaterRetain  CowdungAvailability  SoilFertility CreditAvail  BRRIKnowledge logOffFarmEarnTk year2015_d year2016_d year2017_d year2018_d year2019_d year2020_d year2021_d) ( AdoptNot =IrriMachineOwn Seekinfofertilizer ACode EduC HHnumberCat HHLabor FarmExp LandSizeDec LandTypeC Landownership  SoilWaterRetain  CowdungAvailability  SoilFertility EnviAwareness CreditAvail  BRRIKnowledge year2015_d year2016_d year2017_d year2018_d year2019_d year2020_d year2021_d logOffFarmEarnTk FarmExp), indicators ($cmp_cont $cmp_probit) But I am confused about the correct way of constructing this model. For instance, do I need to add the ROI variable in the second model too, and what is the correct order of placing instrumental variable/variables in the model?  Thank you very much in advance, and I look forward to hearing from you soon. Kind regards, Faruque
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(1) There is no need to add the ROI variable in the second model.
(2) You only need to include the IV in the second model as an additional regressor.
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Is there any justification that states we can adapt items from more than 1 researcher in our measuring instruments.?
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Hello Luqmanul,
When building a new instrument to measure one or more specific dimensions, you might well first decide whether an existing measure with adequate technical quality is already available; this will save you considerable time, effort and cost in your own work.
If you've decided there is no such measure available (which implies you've already done a thorough literature review), then feel free to list as many relevant resources for potential stimuli / items / questions as you encountered during the literature review. However, do note that directly lifting items or questions from copyright material without authorization to do so by publisher and/or author leaves you vulnerable to copyright infringement claims.
To get to your query more directly, I'd encourage looking at multiple sources, so as to be more certain that you (and your team) had identified all of the salient elements associated with the target dimensions of interest. It wouldn't hurt to have your list reviewed by domain experts to assure that: (a) the elements you've selected are, in fact, pertinent; and (b) you haven't overlooked important elements.
Good luck with your work.
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Dear all,
I have panel data with time invariant variable.
look at statistic for firststage the R Square Partial appear too low. There are any Threshold for Partial R Square...
Someone can help:
First-stage regression summary statistics
--------------------------------------------------------------------------
| Adjusted Partial
Variable | R-sq. R-sq. R-sq. F(2,746) Prob > F
-------------+------------------------------------------------------------
TURN_1 | 0.1417 0.1233 0.0713 28.6487 0.0000
--------------------------------------------------------------------------
Shea's partial R-squared
--------------------------------------------------
| Shea's Shea's
Variable | partial R-sq. adj. partial R-sq.
-------------+------------------------------------
TURN_1 | 0.0713 0.0527
--------------------------------------------------
Minimum eigenvalue statistic = 28.6487
Critical Values # of endogenous regressors: 1
H0: Instruments are weak # of excluded instruments: 2
---------------------------------------------------------------------
| 5% 10% 20% 30%
2SLS relative bias | (not available)
-----------------------------------+---------------------------------
| 10% 15% 20% 25%
2SLS size of nominal 5% Wald test | 19.93 11.59 8.75 7.25
LIML size of nominal 5% Wald test | 8.68 5.33 4.42 3.92
---------------------------------------------------------------------
estat overid
Tests of overidentifying restrictions:
Sargan (score) chi2(1) = 1.08549 (p = 0.2975)
Basmann chi2(1) = 1.06282 (p = 0.3026)
Best regards
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IVregress 2 sls is a command in Stata that fits a linear regression of depvar on varlist1 and varlist2, using varlistiv (along with varlist1) as instruments for varlist2. It supports estimation via two-stage least squares (2SLS), limited-information maximum likelihood (LIML), and generalized method of moments (GMM).
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Hi, those who have used the Turnover Intention Scale (TIS-6). Whom did you contact to get permission to use the scale, please? I have emailed Gert Roodt, and I hope this is the correct person to contact regarding utilizing this instrument. Please provide me with feedback and advice on obtaining permission to use this instrument. I greatly appreciate any support that you can provide.
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Latangela Ward I can offer some guidance on obtaining permission to use the Turnover Intention Scale (TIS-6). While I cannot provide specific information on contacting Gert Roodt or the exact process for obtaining permission for this particular scale, I can offer some general advice on seeking permission for the use of research instruments. Here are some steps you can consider:
1. Identify the Original Developer: Ensure that you have correctly identified the original developer of the Turnover Intention Scale (TIS-6). This information can usually be found in the original publication where the scale was introduced. It's important to contact the appropriate person or organization to request permission to use the scale.
2. Review Permissions and Copyright: Check if the original publication or the developer's website includes information on permissions and copyright for using the scale. Some developers may provide guidelines or contact details for obtaining permission. Be sure to review any terms, conditions, or licensing agreements associated with the scale.
3. Contact the Developer: If you have identified the developer as Gert Roodt, sending an email to inquire about permission to use the TIS-6 is a good initial step. Clearly explain your research objectives, the specific scale you wish to use, and how you plan to use it. Respectfully request permission to use the scale in your study and ask for any specific requirements or conditions for its use. Be prepared to provide details on your research design, methodology, and intended publication if applicable.
4. Alternative Contacts: If you are unable to reach the original developer or if you do not receive a response, consider reaching out to other researchers who have cited or used the TIS-6 in their work. They may be able to provide guidance on the process they followed to obtain permission or suggest alternative contacts.
5. Document and Acknowledge Permission: If you receive permission to use the TIS-6, make sure to keep records of the communication as evidence of your authorization. Additionally, when reporting your study or publishing your findings, include a clear acknowledgment of the scale's original source and the permission obtained, adhering to any specific citation requirements provided by the developer.
It is important to note that the process of obtaining permission to use research instruments can vary depending on the scale, its developer, and any associated copyrights or licensing agreements. Therefore, it is crucial to carefully review the requirements specific to the TIS-6 and follow the appropriate steps to ensure compliance with legal and ethical guidelines.
I recommend consulting with your research advisor or colleagues who have experience in using research instruments or obtaining permissions. They may be able to provide further guidance or insights based on their own experiences.
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Hi!
I am trying to publish a translated instrument but journals review with the following issues:
-not enough novelty, specific language or sample not adequate
-not "high-quality though all psychometric protocol followed.
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Dear Laura,
Thanks, I have added the measurement invariance and I will check for Rasch .
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I am a beginner researcher. :) For my thesis research, I only conducted semi-structured interviews with each individual participant. Can my choice be justified within the literature on qualitative case study?
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Hey Nurziya Oralbayeva, while it is generally recommended to use multiple sources of data in a case study to enhance the validity and reliability of the findings, there may be situations where employing only one data gathering instrument is appropriate. The decision to use a single data gathering instrument should be based on the specific research objectives, the nature of the case study, and the available resources and constraints. Here are a few considerations:
1. Research Objectives: Determine if the research objectives can be adequately addressed with a single data gathering instrument. If the focus of the case study is narrow and well-defined, and the chosen instrument can provide sufficient insights and information, using just one instrument may be acceptable.
2. Case Complexity: Assess the complexity of the case and the depth of understanding required. If the case is relatively simple or straightforward, and the use of additional data sources would not significantly contribute to the understanding of the research problem, a single instrument may be sufficient.
3. Resource Constraints: Consider the resources available for data collection. Conducting a case study with multiple data sources can be time-consuming and resource-intensive. If there are limitations in terms of time, budget, or access to participants, using a single data gathering instrument may be more feasible.
4. Methodological Fit: Evaluate the compatibility between the chosen data gathering instrument and the research approach or methodology. Certain research questions or approaches may lend themselves better to specific data collection methods. If the chosen instrument aligns well with the research design and can provide in-depth insights, it may be reasonable to rely on a single instrument.
While using only one data gathering instrument may have some limitations in terms of the breadth and depth of data collected, it is not inherently invalid or inappropriate. It is crucial to ensure that the chosen instrument is appropriate for addressing the research objectives and provides sufficient data to support the findings and conclusions of the case study. Additionally, it is important to acknowledge the limitations of using a single data source and discuss them transparently in the research report or publication.
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I have extracted collagen from various animals and would like to study their molecular weight differences.
I want to measure the molecular weight using Q-TOF MS, but the protocol is unclear, and I have a question.
1. lysis and measurement, which enzyme should I use?
2. we have a Thermo LC/MSMS. Is it possible to analyze this instrument?
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Indeed, native or reducing PAGE and SEC-MALLS would be the first choices in identifying the MW, since they are practical and easy to interpret.
Depending on the expected MW and charge accumulation on the protein surface (expected charge variant profile) intact mass analysis can be performed on any HRMS system including QTOF. Deconvulated spectra can indicate the MW of the targeted collagen but also the PTM profile (not site specifically). LC-MSMS is not an option due to its application being more amenable to quantifying signature peptides and getting results in terms of quantitative proteomics. It is more sensitive than HRMS systems but not accurate enough in terms of exact mass monitoring. In QTOF data you may see many isotopic variants, charge envelope profiles, and possibly in-vivo PTM variants for target proteins. Therefore it is a bit overwhelming to identify MW by only analyzing the raw spectrum. Therefore software automatically deconvolutes the spectrum would be helpful. If the sample is a kind of protein mixture intact mass analysis (do not confuse it with top-down analysis, we do not fragment the precursor in this acquisition mode) is nearly impossible to get exact masses, even if the resolution is perfect. Very effective chromatography prior to analysis or injecting purified samples into the system (fractionated for instance) must be taken into account.
MALDI-TOF on the other hand would be more effective because MALDI ionization does not let compose multiply charged variants. ESI in LC-MS is prone to derivate a high number of charged proteins, thus MALDI produces reduced variants and presents intact mass reliably. Do not forget to consider MW range (predicted) of the collagens high order structures would be more complicated and mass ranges of the mass filters of the instrument must be capable of detecting the multiply charged species of the target protein. In the case of extended MW ranges, I mean analyzing collagen peptides and proteins simultaneously, MW fractionation using cut-off filters and subsequent MS analysis of the fractions should be the choice. Otherwise, you may both lose sensitivity and get complicated masses...
Garbage in garbage out...!
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I am in the process of conduction my dissertation research at Liberty University and would appreciate being able to utilize Professor "César Leal-Costa's" developed instrument for nursing communication competency. Does anyone know how I may contact him to procure written permission to be able to use it? I would greatly appreciate any assistance
Thank you
Pat
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Remember that validity and reliability are established for a particular sample/population at a particular point in time. You might still need to pilot the instrument and establish applicability to your study.
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do you know any instrument or questionnaire?
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Author: K. F. Stein, Colleen Corte, K. B. Colling, A. Whall
Publish Year: 1998
A theoretical analysis of Carper's ways of knowing using a model o…
📷
Check this out.
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I have a doctoral student who wants to use a validated instrument about Leadership Skills from a journal article, but can't reach the authors - mail returned. What should she do now? Of course she would cite the article and the authors and article in her dissertation - but is this ok to do?
Also -- any other suggestions of sites that have validated instruments to use?
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Thank you, Noor Ul Hadi! I appreciated reading your well researched article.
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How can I calculate the resistance and area of a roving basalt fiber with a diameter of 17 micrometers and a length of 10 cm? Additionally, could you suggest the most advanced instruments capable of measuring the resistance of roving basalt fiber? Thank you.
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You can't calculate the resistance you have to measure it. tpyical methode 4 point probe for plane resistance the is an other methode vor in plane resistance, but that is an other methode.
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Dears,
I have some troubles with the connection of Anritsu MS9740A with LabView via VISA.
I have read the Anritsu datasheet, and they comment that is possible to connect the Anritsu through GPIB and Ethernet but through command communication, they don't tell anything about LabView communication.
I have attached a ZIP with the VI Tree that allow the communication with the OSA, but, firstly when I connect via USB the Anritsu with my PC, I could not observe the instrument in the I/O VISA session. So, I don't know if I need install an additional driver or firmware that allows me the correct communication with the device.
Can you have some advice that can help me with this inconvenient?
Regards.
Sincerely,
Andrés.
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Solved:
Thank you so much for your advice and question. I used NI-MAX to create the corresponding Ethernet driver to connect Anritsu MS9740A with LabVIEW.
Regards.
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By which instrument or any other testing method
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There are NO differences between "synthetic" and "organic" ethanol. THE MOLECULE IS THE SAME and ethanol is an organic compound!
If you referr raw material (ethanol obtained by chemical synthesis or e.g. from fermentation processes) you can find (by analytic techniques) differences in the inpurities that accompaign the compound, NOT in ethanol itself!
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Could I get a research instrument to study the marketing strategies adopted by laundry care products?
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Obviously you can if you will search for previous research in the field
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Hello, I conducted 2-Stage System GMM in the STATA program. However, I couldn't find a code to adjust the number of instrumental variables. If there exists such a code, could you share it, please? Where should I add this code in my main code line?
Thanks in advance..
My main code line
xtabond2 X1 L.X1 X2 lnX3 lnX9 lnX15 lnX16, gmm(L.X1, collapse) twostep robust nomata iv(L.X2 L.X3 L.lnX9 L.lnX15 L.lnX16)
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Hi Dear
You can use below model to increase or decrease the instrument variables
xtabond2 DV L.DV IV1 IV2....,gmmstyle(DV, laglimits (2 .) eq(diff)) ivstyle(IV1 IV2..., eq(diff)) twostep
or
xtabond2 DV L.DV IV1 IV2....,gmmstyle(DV, laglimits (2 .) eq(both)) ivstyle(IV1 IV2... , eq(both)) twostep
You can change the lag limits according to your requirements. For example, laglimits (2 1) or (2 2)
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I have developed a scale to assess lifestyle. since I don't have a gold standard the cutoff was defined based on the median. now I want to back it up with literriture. Can somebody help me to find relevant articles, which show defined cutoff statistically using either mean or median for a psychometric instrument?
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References
1. Kibria MG, Islam T, Islam MT, Kabir R, Ahmed S, Sultana P. Stigma and its associated factors among patients with COVID-19 in Dhaka City: evidence from a cross-sectional investigation. PeerJ. 2022;10:e14092. Published 2022 Oct 6. doi:10.7717/peerj.14092
2. Sima BT, Belachew T, Abebe F. Health care providers’ knowledge, attitude and perceived stigma regarding tuberculosis in a pastoralist community in Ethiopia: a cross-sectional study. BMC Health Serv Res. 2019;19:19. doi:10.1186/s12913-018-3815-1
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Has anyone information on this topic that can share or is currently working in this subject, please.
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Thank you David Morse and Daniel Wright for your insights and references. Let's see what the biblio and data analysis shows.
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Derivative instrument and hedging activities improved the ongoing consistency in the current environment as the integrity and credibility endeavor in the future regarding the complexity to access the effectiveness of option values to the criterion related to the financial contracts and forward contracts in hedging relationship concerning the utility choices.
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Kobe Bryant is best body for the Victoria's Secret Lingerie without madness.
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the machine is showing three licensing errors while logging in .
1. Aglient open lab ABCD chemstation
2. Aglient instrument control
3. aglient drivers LC
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1. Make sure the instrument is connected to the internet. 2. Restart the instrument. 3. Check the security settings on the network or firewall. 4. Contact Agilent support for further assistance.
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I prepared a ssDNA sample in nuclease free water which is dye labelled and took its concentration using a nanodrop instrument. But the instrument is giving negative values for the dye and positive values for the dna concentration. I hope somebody can help me with this. Thank you
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I selected the fluorophore and ssDNA in the settings. Blank was the same nuclease free water that was used for preparing the sample.
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Is there any instrument available on the market to replace the UA-3, Uranium analyser to analyze uranium in natural waters ?
Thank you in advance
Michel CUNEY
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SIMPLE AND RELIABLE ANALYSIS OF URANIUM IN MINERALISED ROCKS, ORES, BENEFICIATION PRODUCTS AND OTHER DIVERSE MATRICES: APPLICATION OF DIFFERENTIAL TECHNIQUE IN LASER-INDUCED FLUORIMETRY/ PULSED LED-FLUORIMETRY- A GREEN METHODOLOGY.
  • Conference: Paper accepted for E-poster presentation, Track-3, International Symposium on Uranium Raw Material for the Nuclear Fuel Cycle: Innovation for Sustaining Future Resources and Production (URAM-2023), IAEA Headquarters, Vienna, Austria, 8–12 May 2023 ( Abstract ID#040).
  • At: IAEA Headquarters, Vienna, Austria, 8–12 May 2023
In brief: By taking advantage of high sensitivity of laser-induced fluorimetry /pulsed LED-fluorimetry, the interferences are eliminated by simple one-step dilution of the sample aliquots using push-button microlitre pipettes, thereby to bring the concentration of uranium within the operational range of the instrument, followed by measurement with differential technique in laser-induced /Pulsed LED fluorimetry using more suitable acidic buffer mixture of H3PO4-NH4H2PO4, as fluorescence-enhancing reagent for mineralized rock samples, ores and concentrates. Thus, for very diluted sample solutions, prefilter (species absorbing at the laser wavelength, 337 nm; 400 nm in LED Fluorimetry) and postfilter (species absorbing at the maximum fluorescence wavelengths, 480-560 nm) effects are negligible(verified by spectrophotometry).
Salient features:
1.It fulfills the basic essential requirements of RAPs : Reliability, Applicability and Practicability . 2.Differential technique fulfills the essential requirements of both equipment and method calibration as well as is traceable to SI (mass fraction, g/kg) via international standard comparisons. 3. It is a self-standardized methodology and guarantees the quality of an analytical results. 4.Differential Technique in laser/LED fluorimetry will continue to grow for more reliable measurement of uranium to fulfill the mission and mandate for the sustainable growth of nuclear industry worldwide .
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I have nothing but problems with my TOC-L, and support from Shimadzu on my new instrument is inadequate. I'm interested to know if anyone has experience with an alternative brand with similar capabilities.
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I have used two separate TOC-Ls with and without N modules.I found both to be super reliable. It may depend on what you are putting through it. however i was analyzing clean surface waters. High mineral matrices like saltwater or soil extracts may pose issues. I slso used an elementar cube and hated it. It was incredibly slow snd the one we used has reproducibility issues.
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Dear colleagues,
Have a nice day! Did anyone have a guide for PC settings or some sort of service manual for Waters Synapt G1 or any other old Waters instrument with EPC? My Synapt G1 won't boot on and I already don't have any idea what can I do to solve this problrm... OS on EPC won't boot on :-(
Warm regards,
Azamat
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Thank you for the answer! Yes, our case was caused by losing BIOS settings, we restored them and now Synapt is running. But absence of the manual for EPC is looks strange for me. battery in EPC is not eternal, so why did they don't add any information in user manual or even their web-site? It looks like Waters don't even think about situation, when their instrument will be online after more than 5 years :-)
Warm regards,
Azamat
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I am struggling to obtain a validated e-leadership measuring instrument for my thesis. Any assistance would be extremely helpful, thanks!
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Hello
Is the software intended or equipment?
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Is anybody Know how to use electrasyn instrument with multiple holder? As I have fixed once and operated the reaction, the instrument dint work?
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Kulsum Bano ElectraSyn is a flexible electrosynthesis instrument that can be used in a wide range of uses. It is critical to ensure that all holders are correctly installed and connected to the instrument when using the instrument with numerous holders. Here are some troubleshooting actions you can take:
1. Check that all holders are firmly connected to the instrument and are correctly fitted.
2. Check that the device is correctly attached to a power source and that it is powered on.
3. Check that the wires linking the holders to the instrument are not broken and are correctly attached.
4. Ascertain that the containers are correctly stocked with the necessary solvents and reagents.
5. Examine the electrodes to ensure that they are correctly fitted and positioned within the holders.
If you've verified all of these possibilities and are still having problems, review the manufacturer's user manual or call their technical support for further assistance.