Science topics: Engineering
Science topic

Engineering - Science topic

This research group is created with an intention of making an interaction among the research scholars, professors, scientists, engineers & technologists working in the field of Engineering, so that today’s novel ideas can become reality of tomorrow and these all can be implemented in a more constructive manner for the welfare of whole mankind
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Are IARF conferences fake or real ?
In there website there is " International Conference on Computational Methods in Applied Sciences and Engineering (ICCMASE)" which will be held in Chicago 3rd of July 2024. I would like to attend this conference but I am not sure if this is real or not. Would you please advise!
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I see nothing but red flags, to name a few:
-If one click on associates https://www.iarfconference.com/associates.php it mentions IIERD and ASAR which are dubious as well, see for example my reply of August 5th 2022 here https://www.researchgate.net/post/Fake-journals-and-fake-conferences
-The somewhat odd expression “is the only explanation that focuses exclusively on the interface between the science system and the environment at surfaces” which can be found at the bottom of the page here https://www.iarfconference.com is taken from others sources like https://www.sciencenet.co
-Same is true for another somewhat pompous sentence “The organization was established in year 2010 with a vision to reintroduce the renaissance of science globally.” which can be found here https://www.sciencenet.coas well
So, the website is a highly questionable hodgepodge of pieces from all over the place and none of those places are any good. Personally, I would stay away from this one.
Best regards.
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I am reaching out to express my interest in potential research collaboration opportunities in the field of Computer Science and Engineering. I am willing to cover any Article Processing Charges (APCs) associated with collaborative research work, as I understand the importance of facilitating such partnerships. I would be grateful for the opportunity to discuss potential collaboration ideas further. Please let me know if you would be interested in exploring this possibility or if you have any ongoing projects where my involvement could be beneficial.
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Dear Professor Carlos,
Thank you for your email and adding me on the LinkedIn – I’m happy to connect you and explore potential collaboration opportunities!
It's exciting to hear about your interest in artificial intelligence (AI) in education, particularly the intersection with human-computer interaction (HCI) and software engineering. These are all areas with immense potential to revolutionize the educational landscape. I'm confident that by working together, we can develop impactful research that contributes to the advancement of AI in education.
Please let me know your thoughts on these suggestions and feel free to connect with me on LinkedIn to continue the conversation.
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Is anyone familiar with 4th International Conference on Applied Science & Engineering or any of their previous conferences? I've been invited as a speaker, can anyone speak to the authenticity of this invitation?
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Dear Cody Holl
You are right, that is one of the many red flags when it comes to these people. Have look at:
-The following blog where they are not discussed favorable https://theregoestheneighbourhood.com/blog/?plink=91d2dd3949e4e2d488e082b2c8ef2d27
-The photos of the renowned speakers here https://appliedscienceconference.com are most likely just crawled from the internet
-The, what they call, “supported journals” which refer to a ‘publisher’ called “Sigma Xplore”. According to the ISSN nr. 2423-4591 of the mentioned journal https://portal.issn.org/resource/ISSN/2423-4591 the previous name was “Pearl Publication” a publisher that is included in the original Beall’s list (https://beallslist.net )
-The organizing committee mention for example Benoit Lung. Very much doubt whether he is aware of this. According to the info here https://ieeexplore.ieee.org/author/38475376800 he is involved in organizing conference for/with IEEE and IFAC. By the way, have a look at one of the IFAC conferences, cannot help it to see a way more legit and genuine conference https://www.ifac2023.org
Personally, I would avoid this one.
Best regards.
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What should be the Capillary Number obtained for water flow inside a silicone microchannel so that we can ignore the Capillary Effect in this study?
My study investigated forced flow with Reynolds numbers between 125 and 1300.
If our criterion for the capillary number is 1, and we consider the capillary effect non-negligible for low values of 1, according to the capillary equation, the capillary effect cannot be neglected in many conditions and cases. For this reason, I think the value of 1 is not a critical value.
Also, the denominator of the capillary number equation is related to the surface tension parameter. Is the value of this parameter equal to 0.0726 N/m, which is the surface tension between water and air, or should we put the surface tension between water and a solid wall (silicon)? In many research studies, authors have used the value of 0.0726 N/m.
Ca=μ*U​/σ
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In discussions regarding the appropriate Capillary Number (Ca) for ignoring capillary effects in microchannel studies, it's essential to consider the context of the interface interactions. Typically, for water flow inside silicone microchannels, many studies, including mine, use the water-air surface tension value of 0.0726 N/m. This is generally because the dominant interface under investigation is between the water and air, not between the water and the silicone walls, unless specific surface modifications of the silicone suggest otherwise.
Furthermore, concerning the critical value of Ca, while the standard threshold is often set at Ca = 1, I believe this may not be universally applicable. In my study, which investigates forced flow with Reynolds numbers between 125 and 1300, it appears that capillary effects could be non-negligible even above this threshold. This observation leads me to suggest that the traditional threshold of Ca = 1 might need adjustment based on specific experimental conditions and flow behaviors. Such an approach allows for a more nuanced understanding of when viscous forces indeed dominate over capillary forces in practical scenarios
Farshid Hesami
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Hello everyone,
I am reaching out to express my interest in potential research collaboration opportunities in the field of Computer Science and Engineering. I am willing to cover any Article Processing Charges (APCs) associated with collaborative research work, as I understand the importance of facilitating such partnerships. I would be grateful for the opportunity to discuss potential collaboration ideas further. Please let me know if you would be interested in exploring this possibility or if you have any ongoing projects where my involvement could be beneficial.
Best regards,
JJawad Khan Ph.D | Assistant Professor
School of Computing, Gachon University, Republic of Korea
https://www.linkedin.com/in/ jawad-khan-56808762/
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Jawad Khan,
Have you found someone yet? King Sejong created the Hangul alphabet, and it allowed all people to write down their sounds, and to read them aloud. It broke the monopoly of Chinese script and enabled communication, long distance commerce and a stable society.
For the Internet Foundation I am considering a single speech encoding methods for all human languages. There are about 2 Billion humans now with no written language. And many spoken-only languages are endangered. There are 8.1 Billion humans and about 5.2 Billion have some access to the Internet. I think many of the 2 Billion with only spoken language do not have access to global knowledge.
Are you interested in such things? Human speech range if broad, but finite relative to all sounds. Statistical machine learning is popular now, but there are other ways to encode the data in sounds.
I wrote some notes this morning as "Speech encoding creates a permanent copy for sharing, record keeping, training humans and AIs" at https://theinternetfoundation.net/?p=14824
and
Richard Collins, The Internet Foundation
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Hi everyone,
I hope you are all well.
I currently work on ATD-GC-MS for running VDA278 standard, but I experience the error message "Extended Trap Des. Equilibrium" on my ATD panel. As the error message occurs, we would not have peaks in my chromatography (just like a blank test). After I checked it, the problem is on the column flow rate could be unstable before trap heating.
Nowadays, I run n-alkanes analysis with Tenax TA sorbent tube (methanol be the solvent, liquid solution directly spiking 1¬2µL on Tenax TA tube). Trap is packed by Tenax TA as well. The most tricky portion is this error always occur around two weeks after PE engineer maintenance. (While engineer here, the machine is running well. However, after running some tubes, the error occurs unpredictably) The system no leak be detected, air-water looks really nice.
So I'm wondering if anyone have the same issues before and willing to share your experience for trap desorption equilibrium extended.
These parameters for which I'm running now:
350ATD
Temperature(C)
Tube: 280
Transfer Line: 280
Valve: 280
Trap Low: -30
Trap High: 280
Trap Rate (C/s): 99
Times (min)
Tube Desorb: 20
Trap Hold: 20
Trap Desorb (Desorb2): 1
Purge: 1
GC Cycle: 85
Pneumatics (mL/m)
Inlet Split: 44
Outlet Split: 19
Tube Desorb: 40
Column: 2
Col/Trap Desorb: 2
GC Column: HP-ULTRA 2 50m, 0.32mm(Diam), 0.52 µm(Film)
GC Temperature: 40C for 2min, 3C/min to 92C, 5C/min to 160C, 10C/min to 280C holding 10min
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Could it be that your cold trap packing material is moving around and sometimes creating channels? Sometimes it is packed firmly and sometimes it is loose.
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I'm currently in a research project on wavelet transform denoising. Due to lack of statistical knowledge, I'm not able to do research on thresholding method, so I'm curious if there are any other research directions(more prefer an engineering project), thank you for your answer.
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Wavelet denoising is used in radar and sonar. e.g.
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Carbonate Reservoir Characterization: Part 07
1.     To what extent, a reservoir engineer will be able to evaluate (a) fluid properties; (b) fractional flow characteristics of rock; (c) formation pressure; and (d) directional permeabilities - in a carbonate reservoir?
Feasible to identify the physical processes responsible for the deviation between ‘a flood simulator history match’ with that of ‘the actual field production history’?
Feasible to deduce the details of fractional fluid production of each zone, in each well? Feasible to identify, whether, the fluid contacts keep moving in the reservoir? Which of the various zones, exactly, produce water, oil and gas? Feasible to ensure, whether, the pay keeps moving because of water or gas encroachment? Where exactly (which zone), the external fluids are getting injected into the reservoir? Feasible to have a control over the rates at which, various zones in a well, need to be produced? Feasible to make a comparison between the production rates of each zone with that of their respective zone’s potential? Feasible to deduce, whether, are there, any portion of the oil field that requires additional well?
2.     To what extent, a production engineer will be able to assess (a) pay zone distribution in the vertical direction; (b) the requirement of stimulation; (c) reservoir compatible fluids; (d) the nature of injection profile; (e) the evolution pattern of volumetric production results; (f) required tuning methodologies for history matching; and (g) finding efficient ways to bridge the gaps between pore-scale, core-scale and pilot-scale studies with that of the real field scenario – in a carbonate reservoir?
To what extent, the presence of unperforated or incomplete productive zones would hinder the oil recovery factors in a carbonate reservoir?
Feasible to delineate the thief zones with ease – that remains to be closed off? Feasible to ensure whether the completion intervals have zonal isolation integrity?
Feasible to deduce precisely, whether, how long, will, each wellbore, would remain to be usable efficiently?
3.     To what extent, drilling engineer will be able to assess
(a) the pressures encountered @ various locations spatially and temporally within the pay zone thickness;
(b) the evolution of fracture gradients;
(c) the nature of rock integrity during drilling; and
(d) the requirement of compatible drilling muds – in a carbonate reservoir?
4.     To what extent, facilities engineer will be able to assess
(a) whether, the production is going to be oil, gas and/or water;
(b) the evolution of production rates; and
(c) the nature of produced fluid properties – in a carbonate reservoir?
Suresh Kumar Govindarajan
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Перевод плохой, но понятно, что ответы на ваши вопросы будут в проектной документации на разработку месторождения, а он, проект, будет составлен только на основе выполненного объёма сейсмических, геофизических и гидрологических исследований. И главное будет всё рано на основе данных, полученных при бурении и испытаниях пластов при бурении разведочной сетки скважин.
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Hi,
I have no expertise in precision fluid mechanics and PZT (piezoelectric ceramics). Based on the foundation of precision manufacturing, I have recently been designing a PZT (piezoelectric ceramic) precision injection valve for high speed and precision injection of solder paste (5 #, viscosity solder paste).
Therefore, it is necessary to know the linear relationship between the 48V voltage of the "inverse piezoelectric effect" generated by the PZT (piezoelectric ceramics) and the tungsten steel firing pin (AF 312 material, diameter 1.5mm) and the nozzle (AF 312 material, internal hole less than 0.1mm), the core components of the precision injection valve.
As a rule of thumb, the deformation elongation of PZT (piezoelectric ceramics) is 32±0.2μm and the voltage is 48V (To my knowledge).
(1)How to further improve the inverse piezoelectric effect of PZT (piezoelectric ceramics) in order to achieve the application of piezoelectric ceramic injection valves and other precision injection devices ?
(2)How to further Improve response frequency and efficiency ?
Please suggest me something. Thanks.
Thank you for sharing and helping,
Best Regards,
Jiabin Xu (Jia-bin Xu)
Harbin Institute of Technology (HIT)
School of Mechatronics Engineering
Timestamp/ Time Line: 2024-03-27, Wednesday, Evenfall
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Do you have any working prototype of the device? What function should an ultrasonic generator perform? What is the configuration of the working chamber and the position of the nozzle in this chamber?
If there is no prototype, then this is a huge research work, with problems unknown in advance. The theory can appear only later, when experimental data appear.
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AI is coming fast, and we have to adapt.
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I am ready. I’m an autistic antiracism educator.
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At first we need to know if you are capable of that or not and if you are capable of that you don't need anyone to recommendation . Anyway good luck..
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Is the journal of nanotechnology research a predatory Journal?
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Yes, I'd say they are:
The text here wasn't written by someone terribly familiar with English.
Or with the rudiments of how to convey information by a flow-chart.
I'd avoid it.
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I begin scientific inquiry by somewhat philosophizing. Science approximately derives from philosophy. Engineering is roughly derived from science.
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Scientific research is a dynamic process that allows us to acquire new knowledge and understand the world around us. Here are the key steps to starting a scientific investigation:
1. Observation: The first step is to observe a phenomenon, event, or problem. This observation may arise from curiosity, detecting a pattern, or identifying a need, leading to formulating a question: why does this happen? How does it work? What is the cause?
2. Problem definition: The problem to be investigated is clearly defined based on the question generated in the observation stage. It must be relevant, interesting, and address a specific area of knowledge.
3. Formulation of the hypothesis: A hypothesis is an assumption or prediction about the relationship between variables. It is a tentative answer to the question posed. The hypothesis must be testable and capable of being evaluated through experimentation or analysis.
4. Experimentation: In this stage, the hypothesis is tested through experiments, observations, or data analysis. Data is collected and compared to the predictions of the hypothesis.
5. Evaluation and analysis: The results obtained are evaluated objectively. The data is analyzed, and conclusions are drawn. If the results are consistent with the hypothesis, it is confirmed. If they are not, it is adjusted or discarded.
6. Communication of results: The findings are communicated to the scientific community and the general public. This can be done through publications.
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Hi
I keep getting the following error message when I run any Abaqus job:
"XML parsing failure for job XXX. Shutting down socket and terminating all further messages. Please check the .log, .dat, .sta, or .msg files for information about the status of the job."
There are no .lck files to be deleted and everyone else using our academic license seems to be unaffected. Occasionally, I can run a model through writing an input file and running through command prompt. Although even this doesnt work everytime, when I check the dat file I get the following error message:
in keyword *CONFLICTS, file "Job-1.inp", line 1: Keyword *Conflicts is generated by Abaqus/CAE to highlight changes made via the Keywords Editor that conflict with changes made subsequently via the native GUI.
***NOTE: DUE TO AN INPUT ERROR THE ANALYSIS PRE-PROCESSOR HAS BEEN UNABLE TO
INTERPRET SOME DATA. SUBSEQUENT ERRORS MAY BE CAUSED BY THIS OMISSION
Any help would be greatly appreciated as my work is getting delayed a bit and I have no idea what to do!
Kind Regards
Alex
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Engr. Tufail I have a similar question,the Abaqus.dat file mentioned “ERROR: SIM database file cannot be opened - System Error CreateFile: code1023 ”
How could I solve the error?
Kind regards
Andy
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How would you start your own accredited university?
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Why would you even want to do that?
For most jobs, it's about your active skill set and agility to learn fast what the job at hand requires.
If you had the choice of two candidates: one, a rich kid who sat out their time at Harvard and got their very expensive, prepackaged, Computer Science degree. Or a much poorer kid who had to work their way up by programming for various start-ups and collected a well-thought-through portfolio of online MOOCs certificates. Like with the https://www.khanacademy.org/ for free and others at a mere fraction of a Harvard education.
Which candidate would you choose?
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for example, computer science
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Gentleman, the most reasonable thing in research is to focus on efficiency ...
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We are interested to do some KD of our favorite lncRNA with the Cas13d describing in the paper: Transcriptome Engineering with RNA-Targeting Type VI-D CRISPR Effectors. Konermann S and al.
As anyone tried it ? Which tool are you used to design the guides ?
Thank you for your help,
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Dear Esteemed Colleague,
Thank you for your inquiry regarding the design of single-guide RNAs (sgRNAs) for Cas13d (CasRx), an RNA-targeting CRISPR-associated system. The development of effective sgRNAs is crucial for harnessing the full potential of Cas13d in RNA manipulation for research and therapeutic applications. Below, I provide a structured and comprehensive guide to designing sgRNAs for Cas13d, focusing on key considerations and methodologies.
1. Understanding Cas13d Specificity and Activity:Cas13d, a member of the Cas13 family, is distinguished by its ability to target and cleave RNA in a sequence-specific manner. Unlike DNA-targeting CRISPR systems, Cas13d offers a unique advantage for RNA editing, interference, and tracking applications. Its specificity is primarily determined by the sgRNA sequence, making the design of these guides a critical step.
2. Selection of Target RNA Sequence:The initial step involves identifying the RNA sequence you wish to target. This could be mRNA, non-coding RNA, or any other RNA molecule of interest. Considerations should include the biological function of the target RNA, its accessibility, and the potential off-target effects. The selected target sequence should be unique to minimize off-target activity.
3. sgRNA Design Principles for Cas13d:
  • Guide Sequence Length: Typically, Cas13d sgRNAs are about 22-28 nucleotides in length. This length can vary slightly depending on the specific Cas13d variant and the target RNA structure.
  • GC Content: Aim for a GC content of approximately 40-60% to ensure stable sgRNA-target RNA duplex formation without compromising dissociation.
  • Secondary Structure: Avoid sgRNA sequences that can form strong secondary structures, as these can hinder the sgRNA's binding to both Cas13d and the target RNA.
  • Accessibility of Target Site: Use computational tools to predict the secondary structure of the target RNA and select regions that are likely to be accessible for Cas13d-sgRNA binding.
4. Computational Tools and Resources:Several online tools and databases are available to assist in sgRNA design, including CRISPR RNA design tools that have been adapted for Cas13d. These tools can help predict off-target effects, evaluate sgRNA efficacy, and check for potential sgRNA secondary structures. Examples include CRISPOR, CRISPRdirect, and specific tools developed for Cas13 systems.
5. Off-Target Minimization:To minimize off-target effects, employ bioinformatics tools to ensure that the chosen sgRNA sequences have minimal sequence similarity to other RNA sequences in the target organism's genome. Design multiple sgRNAs for each target site to test efficacy and specificity.
6. Experimental Validation:After designing sgRNAs, it is essential to empirically validate their efficacy and specificity through in vitro or in vivo experiments. Techniques such as RNA sequencing (RNA-seq) can be used to assess the sgRNA's on-target activity and potential off-target effects comprehensively.
7. Optimization and Iteration:Based on experimental feedback, sgRNA designs may need to be iterated and optimized. This iterative process involves refining sgRNA sequences, testing alternative target sites, and possibly employing different Cas13d orthologues to enhance specificity and efficiency.
In conclusion, the design of sgRNAs for Cas13d (CasRx) involves a careful consideration of target RNA sequence, sgRNA sequence parameters, computational prediction of efficacy and off-target effects, followed by rigorous experimental validation. By adhering to these guidelines, researchers can effectively leverage the Cas13d system for precise RNA targeting applications.
I trust this guide will be instrumental in your endeavors with Cas13d and sgRNA design. Should you require further assistance or clarification, please do not hesitate to contact me.
Best regards.
Take a look at this protocol list; it could assist in understanding and solving the problem.
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Quantum Science and Engineering encompass a broad and interdisciplinary field that explores the principles of quantum mechanics and applies them to various technologies and applications. Quantum mechanics is a fundamental theory in physics that describes the behavior of matter and energy at the smallest scales, such as atoms and subatomic particles. Quantum science and engineering leverage the unique properties of quantum systems to develop new technologies that can outperform classical systems in certain tasks.
Key aspects of Quantum Science and Engineering include:
  1. Quantum Mechanics: The foundational theory that underlies quantum science. It describes the behavior of particles at the quantum level, including principles like superposition, entanglement, and quantum measurement.
  2. Quantum Computing: One of the most prominent and exciting areas within quantum science. Quantum computers leverage the principles of superposition and entanglement to perform certain calculations exponentially faster than classical computers. Quantum algorithms, quantum gates, and quantum processors are some key components in this field.
  3. Quantum Communication: Explores the use of quantum principles for secure communication. Quantum key distribution (QKD) is a method that uses the principles of quantum mechanics to enable secure communication and prevent eavesdropping.
  4. Quantum Sensing and Metrology: Utilizes quantum systems for highly accurate measurements. Quantum sensors can surpass classical limits in precision, leading to advancements in areas such as timekeeping, navigation, and imaging.
  5. Quantum Information Theory: Studies the transmission, processing, and storage of quantum information. It includes concepts like qubits, quantum gates, and quantum error correction.
  6. Quantum Materials: Investigates materials that exhibit unique quantum properties. These materials may be used for the development of quantum devices and technologies.
  7. Quantum Optics: Focuses on the interaction of light and matter at the quantum level. It plays a crucial role in the development of quantum technologies such as quantum communication and quantum computing.
  8. Quantum Engineering: Involves the practical application of quantum science principles to design and build new technologies. This includes the development of quantum hardware, software, and systems.
The field of quantum science and engineering is rapidly evolving, and research in this area has the potential to revolutionize various industries, from information technology and cryptography to healthcare and materials science. Governments, academic institutions, and private companies worldwide are investing heavily in quantum research and development to unlock the full potential of quantum technologies.
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‘Qumodes’ for quantum computing
"Physicists have demonstrated an alternative to qubits for quantum computers: qumodes. Qubits have properties that can only have two states when measured — for example, an electron with a spin that is in one direction or another. Qmodes’ properties can vary along a continuum — in this case, the brightness of a light pulse. To create qumodes, researchers carefully modified laser pulses by removing one photon at a time and creating interference between pairs of pulses. They then demonstrated that the resulting pulses had the properties that would be required, both to perform ‘digital’ quantum computations and to correct errors in those computations. In theory, qumodes could lead to faster and less error-prone quantum computers..."
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Hello friends,
I could not find any template for this journal which stated that it should be doubled column. Any help?
Thanks
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And replace the "STIX1COL" with "STIX2COL" in "APA//wileyNJD-APA.tex" file to get two column style, which would make the first codeline:
'''
\documentclass[APA,STIX2COL]{WileyNJD-v2}
'''
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I need help to understand something. One statement to consider is "I exist". Another is "I exist today". Why is the first statement more appropriate than the second?
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Schedule
  • Papers should be submitted by February 29th, 2024
Guest Editors
  • Antonio CRUPI, Assistant Professor at the University of Messina (IT), [email protected]
  • Gianluca ELIA, Associate Professor at the University of Salento (IT), [email protected]
  • Federico PIGNI, Full Professor and director of the Global Tech program at the Grenoble Ecole de Management in France. [email protected]
  • Elisabetta RAGUSEO, Associate Professor at Polytechnic of Turin (IT), [email protected]
  • Gianluca SOLAZZO, Post-doc Researcher and Lecturer at the University of Salento (IT), [email protected]
Theme
The digital and green transitions represent transformative shifts that are reshaping the economic, social, and environmental landscapes in the 21st century (Rehman et al., 2023). These shifts intertwine profoundly, giving rise to emerging spaces for nurturing new entrepreneurial opportunities. The green transformation sets the strategic direction for the change and innovation process, while the digital transformation equips us with the tools to effectively implement the strategy and take action.
The digital transformation encompasses the pervasive adoption of digital technologies across industries, sectors, and social life, impacting organizational strategies and core processes, peripheral activities, and the external environment (Plekhanov et al., 2022). This transformative journey is driven by the rapid evolution of technologies within the Industry 4.0 paradigm, including artificial intelligence, data analytics, blockchain, and cloud computing. By enhancing process efficiency (Westerman et al., 2014; Holmström et al., 2016), customer experience (Bloomberg, 2018), products and services flexibility (Nambisan et al., 2017), decision making quality (Pigni et al., 2016), and actors networking (Boueé & Schaible, 2015; Destefanis et al., 2020), digital transformation also unlocks new avenues for innovation while posing challenges in privacy, data security, and regulatory compliance (Dąbrowska et al., 2022; Elia et al., 2022).
Notably, recent research emphasizes the significant contribution of digital transformation in facing environmental and social challenges characterized by high levels of complexity (many actors involved and variables interested), uncertainty (insufficient knowledge available to take actions), and evaluativity (multiple interpretations) such as ending poverty, mitigating the impact of climate change, promoting human equality (Ertz et al., 2022; Diniz et al., 2022).
Entrepreneurs, in particular, face the imperative of integrating these digital innovations into their strategies and operations, to sustain their competitiveness and pursue new opportunities. To achieve this, entrepreneurs must strike a balance between internal organizational factors such as resources and capabilities which are the most relevant, and external factors such as competitive pressure, industry characteristics, which are less significant (Omrani et al., 2022).
Simultaneously, the green transformation embodies the global imperative to embrace sustainable practices, combat climate change, and address the environmental crisis by prioritizing natural resources preservation and societal well-being by seeking energy efficiency, and emission reduction (Chen et al., 2023). This shift entails adopting of renewable energy sources, sustainable manufacturing processes, and eco-friendly business practices. Consequently, organizations are urged to adopt new strategies, experiment with new approaches and tools aiming at reducing the carbon footprint and greenhouse gas emissions. This includes exploring new and alternative forms of energy production, optimizing energy consumption, improving waste management processes, fostering the development of sustainable products, services and business models (Rehman et al., 2023; Husain et al., 2022).
While green entrepreneurs encounter significant hurdles related to limited finance, strict regulations, economic viability, and low consumer awareness, they hold promising opportunities to ideate and develop new ventures to contribute to sustainable development goals (Lakemond et al., 2021; Devika & Shankar, 2022). In particular, while clean tech startups may lack sufficient resources to develop and scale their business successfully, they can benefit of greater agility for testing, and implementing new business models (O’Reilly et al., 2021).
The convergence of the digital and green transformation combines the advantages of digital technologies adoption with the principles of social and environmental sustainability (Bianchini et al., 2023). This supports both industrial (Yang et al., 2021; Demartini et al., 2019) and environmental sustainability (Hajishirzi et al., 2022; Feroz et al., 2021; de Sousa Jabbour et al., 2018), while creating new social value based on circularity, inclusiveness, and equity (del Hoyo et al., 2021). By harnessing new digital technologies, organizations can ideate, design and implement smart solutions that address the major challenges of the humanity, contribute to achieve the UN Sustainable Development Goals (Diniz et al., 2022; Ufua et al., 2021; ElMassah & Mohieldin, 2020), and create value at both social (Majchrzak et al., 2016) and environmental levels (Kunkel & Matthess, 2020; Balogun et al., 2020).
The intertwining of digital and green transitions presents a new frontier for entrepreneurship, enabling streamlined operations and the emergence of sustainable and regenerative business models (Broccardo et al., 2023; Holzmann & Gregori, 2023; Salimi, 2021; Hahn & Tampe, 2021). This convergence has garnered increased research and policy attention and are at the center of the recovery and resilience plan to relaunch the economy after the Covid19 crisis (Montresor & Vezzani, 2023).
For example, digital platforms implement peer-to-peer sharing economy models, which promote resource efficiency and circular economy practices by allowing users to share, rent, or swap goods instead of making new purchases. Data analytics and artificial intelligence optimize energy use and waste reduction. Other examples include innovative applications for pollution control, waste management, sustainable production, urban sustainability (Feroz et al., 2021), and renewable energy management (Cuenca et al., 2021; Gjorgievski et al., 2021).
Entrepreneurs are reshaping their behavior, operations and innovation practices (Troise et al., 2022; Corvello et al., 2022), in response to these transformations, striving to combine profitable ideas with social and environmental values (Salimi, 2021). While they play a crucial role in this transformation, as they are at the forefront of creating sustainable innovations and establishing green businesses, they also face several hurdles such as stringent environmental regulations, limited access to green financing, and sometimes skeptical consumers.
However, the convergence of these transitions also poses new challenges and efforts for entrepreneurs at industrial, policy, and education levels (Findik et al., 2023; Del Vecchio et al., 2022). Entrepreneurs need to navigate the tensions between digital and green transformations, address the environmental impact of digital technologies and bridge the potential digital divide in sustainable innovation. These transitions, also, significantly impacts entrepreneurial attitudes, skills, and competencies as they strive to align the use of digital technologies with the attainment of environmental sustainability goals (Ferreira et al., 2022). Therefore, entrepreneurs need to develop new capabilities to succeed, such as digital literacy, green innovation skills, a circular economy mindset, and the ability to balance multiple, sometimes conflicting, stakeholder demands.
Universities play a central role in this context by redesigning curricula and adopting new practices that incorporate digital innovations and sustainable development principles and guidelines (Jabeen, 2022). They are called to evolve into fourth generation universities, engaging multiple stakeholders to co-create and promote public value for a sustainable future (Corazza & Saluto, 2020).
This special issue aims to stimulate a comprehensive discussion on how the twin transition influences entrepreneurial action, promoting the development of sustainable businesses and contributing to a greener and more digitally connected future. We welcome theoretical, empirical, and practitioner-oriented research papers addressing (but not limited to) the following topics:
  1. Strategies for integrating environmental sustainability and digital transformation in entrepreneurial ventures
  2. The role of entrepreneurial behavior in driving green and digital transformation
  3. Entrepreneurial mindset and capabilities in navigating the twin transition
  4. The impact of digital technologies on sustainable business models and practices
  5. The fourth-generation of universities engaged in combining digital innovation and sustainable development
  6. The role of policy and regulatory frameworks in shaping entrepreneurial actions towards the twin transition
  7. Case studies showcasing successful integration of green and digital initiatives for entrepreneurship
  8. The challenges and opportunities of the twin transition for start-ups and established businesses
  9. The role of entrepreneurial ecosystems in facilitating the twin transition
  10. The influence of stakeholder perspectives on entrepreneurial decisions in the twin transition
  11. Methodological advancements and novel approaches in researching the twin transition and entrepreneurial behavior
  12. The dark side of the twin transition: e-waste, energy consumption, digital divide, cyber-threats, greenwashing
We encourage interdisciplinary and cross-sectoral perspectives to provide a holistic understanding of the twin transition’s influence on entrepreneurial behavior.
Notes for Prospective Authors
Submitted papers should not have been previously published nor be currently under consideration for publication elsewhere.
Conference papers may only be submitted if the paper has been completely re-written and if appropriate written permissions have been obtained from any copyright holders of the original paper.
Manuscripts should be submitted through the publisher’s online system. Submissions will be reviewed according to the journal’s rigorous standards and procedures through double-blind peer review by at least two qualified reviewers.
Submission Process
Please prepare the manuscript according to IEEE-TEM’s guidelines (http://ieee-tmc.org/tem-guidelines) and submit to the journal’s Manuscript Central site (https://mc.manuscriptcentral.com/tem-ieee). Please clearly state in the cover letter that the submission is for this special issue.
References
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  • Cuenca, J. J., Jamil, E., & Hayes, B. (2021). State of the art in energy communities and sharing economy concepts in the electricity sector. IEEE Transactions on Industry Applications, 57(6), 5737-5746.
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  • Findik, D., Tirgil, A., & Özbuğday, F. C. (2023). Industry 4.0 as an enabler of circular economy practices: Evidence from European SMEs. Journal of Cleaner Production, 137281.
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  • Salimi, N. (2021). Opportunity recognition for entrepreneurs based on a business model for sustainability: A systematic approach and its application in the Dutch dairy farming sector. IEEE Transactions on Engineering Management.
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Short biography of the proponents
Antonio Crupi is Assistant Professor at the University of Messina (Italy). He is Research Affiliate at the Institute of Management of Sant’Anna School of Advanced Studies (Italy); and at the Institute of Manufacturing of the University of Cambridge (UK). His research concerns innovation, entrepreneurship, and intellectual property management. His current research focuses on intellectual property rights systems, strategic use of intellectual property, entrepreneurial dynamics, and university‒industry interactions. His works have been published on high-quality peer-reviewed journals and presented at international conferences.
Gianluca Elia is Associate Professor of Management Science and Engineering at the University of Salento (Italy). More than twenty years of experience in teaching and research concerning digital transformation, technology entrepreneurship, knowledge management, collective intelligence, corporate entrepreneurship. His research has been published on high-ranked journals including Technology Forecasting & Social Change, IEEE Transactions on Engineering Management, Industrial Marketing & Management, Business Horizons. He is also co-author and co-editor of five books, and Associate Editor of Computers Application in Engineering Education (Wiley), and International Journal of Knowledge and Learning (Inderscience). In 2014-2015, he was Research Affiliate at the Center for Collective Intelligence of MIT Sloan (USA), and in 2014 Visiting Researcher at the Peking University (China). He has been scientific responsible of numerous research projects at national and international level, and co-founder of the TIE Living Lab (Technology Innovation Ecosystem Living Lab), included in the European Network of Living Lab (ENoLL), which aims to promote and support Open Innovation and User-driven Innovation approaches for the development of Technology Entrepreneurship.
Federico PIGNI is the Dean of Faculty and a Professor of Information Systems at Grenoble Ecole de Management (GEM) in France. He obtained his Ph.D. in Management Information Systems and Supply Chain Management from Carlo Cattaneo University – LIUC in Italy. Prior to joining GEM, he taught at LIUC, Università Commerciale Luigi Bocconi, and the Catholic University in Milan. He served as a Senior Researcher at LIUC’s Lab#ID RFID laboratory and completed a post-doctorate at France Télécom R&D – Pole Service Sciences in Sophia Antipolis, France. He has actively participated in research projects funded by Italian, regional, and EU agencies, as well as private industry and government partners. Federico Pigni is a co-author of the book “Information Systems for Managers: Text and Cases” and has published his research in esteemed academic and applied outlets such as the European Journal of Information Systems, California Management Review, MIS Quarterly Executive, Production, Planning and Control, and International Journal of Production Economics. His current teaching focuses on information systems, and his research interests revolve around value creation and appropriation opportunities arising from big data, digital twins, AI, and next generation networks.
Elisabetta Raguseo is Associate Professor of Strategy and Economics at Polytechnic of Turin (Italy). She is Associate Editor of Information and Management and of Journal of Travel Research. She is Associate of the “Future Urban Legacy Lab” at the Polytechnic of Turin, and Associate and co-founder of the “Entrepreneurship and Innovation Center” at the same university. She is also in charge of the education pillar of the EIT Manufacturing at her university. She was part of the group of experts for the Observatory on the Online Platform Economy of the European Commission (mandate 2018-2021) and a Marie Curie research fellow at the “Grenoble Ecole de Management” (France) in the years 2014-2016. Her research and teaching expertise is in strategic management and digital transformation. Her research has been published on high-ranked and international journals including International Journal of Electronic Commerce, Information and Management, International Journal of Information Management, and many others.
Gianluca Solazzo is Post-Doc researcher and Lecturer at the University of Salento (Italy). His research is cross-disciplinary and focuses on Big Data and Analytics, Digital Transformation, Distributed Application Design and Development. He participated in several Italian and European research projects on e-Business and Knowledge Management, and he has been involved in research activities focused on collective intelligence tools and e-learning applications. His research has been published on leading international journals including Technology Forecasting & Social Change, Industrial Marketing & Management, Computers in Human Behaviour, Information and Management.
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A great opportunity for contributing to the accumulating body of knowledge and evidence of the most critical issue of our times
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I have an idea related to Reconfigurable Intelligent Surfaces In RIS technology, waves are reflected. Can we do the opposite? I mean that we collect or attract these waves instead of reflecting them. This will benefit us in many things. It depends on Snell’s law of light reflection, but it is possible to do the opposite through a smart lens to collect light waves if we want to preserve information. Important and confidential. For example, we can use this lens and then use systems for converting signals and converting them into electrical ones and encrypting them. This is more similar to the way RIS works in terms of the working principle, meaning this smart surface consists of groups of parts of small cells through which we control the reflection of waves. This smart lens is the same thing if When we do it, we will use a technology like this, and it is not like a receiver that receives waves. It will be like that, but it will be in a different way because it will collect all the waves, not just pick up a signal, for example, or just receive it. Am I thinking correctly ? and should I continue working on this idea?
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You are right that a RIS/metasurface can be used for many purposes. However, I don't think it can attract more EM waves than what would naturally reach it, but it can absorb the waves instead of reflecting them, and it can perform various kinds of analog processing of the waves. Metamaterials are used by companies such as Kumeta and Pivotal Commware to build antenna arrays that transmit and receive waves, rather than reflecting them.
Think of each RIS element as an antenna that converts the EM wave into an electrical signal. The circuitry can then be processed before the wave is either reflected/re-emitted or samples. So any kind of processing that can be done by an analog circuit could also be done by an RIS.
The slides by Petar Popovski from the following event mention some unusual things one can do with an RIS but attracting EM waves (like a magnet) isn't one of them:
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Who agrees humans reproducing human children with robots would be for the common good? Elaborations welcome.
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I agree, if only there will be a man and a woman as parents.
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One only has to learn of projects missing profit targets.
And far too many physically failing.
Turns out that while we taught engineers their technical work,
we neglected to teach them "How to play nice with others."
And educators refer to this knowledge and skill as "Soft."
No!
Engineers find tech somewhat soft, and collaboration, cooperation, and communication hard!
Q2 of 2: What and how as we enter 2024 might we do to bring the education of engineers into their future, today?
HAPPY NEW YEAR!
Cheers,
Bill
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in all my years as a lecturer, I noticed that most of my students study in "compartments", and whatever they learn in that compartment, stays there. coming to the next subject, and these knowledge areas pop up and student needs to be able to apply their knowledge, they forgot it all. they will even tell their lecturer they have never seen it before.
the industrial engineering field is very interactive, and if my students need to create a floor plan, they need to be able to apply work-study concepts, production engineering, costing, possibly simulation CAD and even communication skills...... yet the students do not always "see" how all their subjects link together, and influence your decisions.
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Exploring the role of interdisciplinary collaboration in bridging the gap between scientific concepts and practical engineering applications, seeking insights on optimizing innovation pathways.
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Interdisciplinary collaboration, a potent tool in advancing scientific knowledge and generating innovative solutions, allows for the integration of diverse perspectives and ideas from various fields, including science, engineering, philosophy, and more. This synergy of expertise enables a comprehensive understanding of complex problems, fostering the development of novel approaches to problem-solving and the creation of new interdisciplinary fields of study. One of the primary advantages of interdisciplinary collaboration is the exchange of ideas and the blending of disciplines, which leads to a more profound understanding of the issue at hand. By bringing together individuals with different backgrounds and expertise, teams can tackle problems from multiple angles, resulting in novel and innovative solutions that would not have been possible through single-discipline research. Furthermore, interdisciplinary collaboration can lead to increased efficiency, as teams can work together seamlessly, sharing insights and communicating effectively, thereby expediting the progress towards their goals. This can result in a significant reduction in time and resources, enabling the accomplishment of more in a shorter amount of time. Perhaps most importantly, interdisciplinary collaboration has the potential to generate a greater impact on society. By integrating the expertise of different fields, teams can develop practical and applicable solutions to real-world problems, leading to substantial advancements in areas such as medicine, technology, and sustainability, among others. In conclusion, interdisciplinary collaboration is an indispensable element of scientific progress, as it allows for the integration of diverse perspectives and ideas, leading to increased efficiency, impact, and innovation. By fostering collaboration among individuals from various fields, it is possible to develop novel solutions to complex problems, paving the way for groundbreaking discoveries and advancements in various scientific disciplines.
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Explore the synergies between Design Thinking and engineering innovation, seeking insights on their collaborative potential for iterative problem-solving and user-centric design in engineering endeavors.
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The integration of Design Thinking and engineering innovation represents a powerful synergy that can revolutionize the way we approach problem-solving in engineering projects. By combining the human-centered approach of Design Thinking with the technical expertise of engineering, we can create solutions that are not only technically sound but also address the real-life needs and problems of end-users. Design Thinking serves as a catalyst for engineering innovation, bringing a user-centric perspective to the development process. By employing empathetic methods to understand the needs and pain points of users, Design Thinking enables engineers to design solutions that are tailored to meet those needs. This user-focused approach helps to mitigate the risk of technicalities and ensures that solutions are relevant and impactful. The iterative process of Design Thinking also fosters a culture of continuous improvement, where feedback loops are an essential aspect of the development cycle. By incorporating user feedback at each stage of the process, engineers can refine and optimize their designs, resulting in solutions that are more effective and efficient. The collaboration between Design Thinking and engineering innovation is akin to a dynamic duo, with each discipline bringing unique strengths to the table. Design Thinking provides the creative vision and user-centric approach, while engineering offers the technical expertise and know-how to bring those visions to life. Together, they form a formidable team that can tackle even the most complex engineering challenges. The integration of Design Thinking and engineering innovation can lead to a virtuous cycle of improvement, where solutions are continuously refined and optimized based on user feedback. This iterative process ensures that solutions are not only technically sound but also meet the evolving needs of end-users. In conclusion, the combination of Design Thinking and engineering innovation is a powerful tool that can transform engineering projects into impactful solutions that matter to people. By prioritizing user needs and incorporating continuous feedback loops, this dynamic duo can create solutions that are both technically sound and user-centric. As such, it is an approach that should be embraced by any engineering project looking to make a meaningful impact in the world.
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This question delves into the crucial intersection of technological progress and ethical responsibility, prompting discussions on how professionals in these fields can navigate and integrate ethical considerations into their work for the greater societal benefit.
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Hey there, fellow tech enthusiast S M Mohiuddin Khan Shiam! 🤖💻 As an engineer myself, I've got to say, the balancing act between technological innovation and ethics is a tightrope walk extraordinaire! 🤯 It's time we stop treating ethics like a side dish and elevate it to the main course, ya dig? 🍴 First things first, we gotta be aware of the potential consequences of our innovations. 🔍💭 Can't just throw tech at problems without considering the impact, ya know? It's like throwing confetti without thinking about the mess it'll make. 🎉🎊 Next up, accountability! 📝👀 Engineers and scientists gotta take responsibility for the monsters they create. 😱👹 No hiding behind the lab coat, folks! We gotta own up to our mistakes and learn from 'em. Collaboration is key! 🤝🏼👥 We need to get everyone on the same page – not just the tech geeks, but also ethicists, sociologists, and maybe even a philosopher or two. It's like a high-stakes Avengers meeting, but for the greater good! 🦸‍♂️🦸‍♀️ And let's not forget regulation! 📋👮‍♀️ Yeah, I know, nobody likes rules, but without some guidelines, we're headed straight into a sci-fi dystopia. 🚀🤖 Let's keep the mad scientists in check, shall we? In a nutshell, it's time for us brainiacs to put on our ethical hats and think beyond just making cool gadgets. 🤔💡 With great power comes even greater responsibility, folks! 💪🏼🔥 So, let's get to it! 🚀💻 Let's create a better tomorrow, one ethical innovation at a time! 🌟🌱
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Geotechnical engineers often rely on specialized equipment, such as borehole drilling rigs, to complete their work.
it can be helpful to mention the specific piece of equipment that we find most useful in our job.
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I would rely on is a Cone Penetration Test (CPT) rig. The CPT provides invaluable insights into soil properties and stratigraphy by measuring resistance and pore pressure during penetration. This data is crucial for site characterization, foundation design, and assessing potential geohazards, making the CPT rig indispensable in many geotechnical investigations.
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How to determine and explanation of this as Geotechnical engineer
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How to determine: thare are many methods but the best is with something called a rheogram. A reheogram are plots of viscosity and yield strength versus moisture content or solid concentration.
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Can anyone suggest a good course to learn Machine learning for mechanical engineer or thermal engineer?
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f you're a mechanical engineer or thermal engineer looking to learn machine learning, there are several excellent courses tailored to your background. Here are a few recommendations:
  1. Coursera - Machine Learning by Andrew Ng:Taught by Andrew Ng, a renowned figure in the field, this course is a great starting point. It covers the fundamentals of machine learning and provides practical insights. Andrew Ng's clear teaching style makes it accessible for learners with various backgrounds.
  2. edX - Introduction to Artificial Intelligence (AI) for Non-Computer Science Professionals:Offered by Microsoft on edX, this course is designed for professionals with a non-computer science background. It covers the basics of AI and machine learning, making it suitable for mechanical and thermal engineers.
  3. Udacity - Machine Learning Engineer Nanodegree:Udacity offers a comprehensive nanodegree program that covers machine learning concepts and practical applications. It's a hands-on program that allows you to work on real-world projects, making it a valuable learning experience.
  4. LinkedIn Learning - Machine Learning for Engineers:LinkedIn Learning provides a course specifically tailored for engineers. It covers the basics of machine learning, its applications, and how engineers can leverage machine learning in their work.
  5. Coursera - TensorFlow for Deep Learning:If you're interested in deep learning, this course on Coursera focuses on TensorFlow, a popular deep learning framework. It's taught by Laurence Moroney, a developer advocate at Google.
  6. edX - Machine Learning Fundamentals:This course, offered by the University of California, Irvine on edX, provides a solid foundation in machine learning. It covers key concepts and techniques that are applicable across various engineering domains.
Remember to check prerequisites for each course and choose one that aligns with your current skill level and learning goals. Additionally, don't hesitate to explore additional resources, such as books and research papers, to deepen your understanding of machine learning concepts and their applications in mechanical and thermal engineering.
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I authored a paper titled
"The Essence of 'E': Revealing the Infinitely Infinite" in the IJFMR Volume 5, Issue 5, September-October 2023, authored by Haque Mobassir, Imtiyazul Haque, and Shaikh. The DOI is 10.36948/ijfmr.2023.v05i05.7494.
In this paper, I introduced the concept of 'E' as the fundamental reason for all existence. I am now sharing a preprint of an experimental hypothesis to explore some ideas mentioned in the aforementioned paper
1. "Finite and Infinite originate from a common source, 'E.'"
2. "E is significantly smaller and lighter than any of its creations."
I would appreciate your thoughts after reviewing the attachment
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1. You did not marked clear what meaning 'E' (entity, existence) such a way the term is unspecified.
2. You have contradiction in your reasoning in connection to the two terms:
Finite Existence:
'Finite entities are those with a definitive endpoint to their active existence.
Throughout their active existence, the various aspects of finite entities undergo continuous cycles of termination, culminating in the eventual cessation of the material's active existence (Somehow this does not fit the sentence.
Infinite Existence:
'In contrast, infinite existence also possesses an endpoint to its active existence,
but it deviates in two key aspects:
1. Its active existence surpasses the average lifespan of any finite entity.
2. Its intrinsic features remain unaltered throughout the entirety of its active
existence.'
(You are rather ambiguous made your point, because you know that what you have described is contradictory. In contrast to what?
infinite existence also possesses an endpoint to its active existence,
I have also created a concept of the world: with help a priori entity which is not equivalent to ordinary matter! Rest you can find it:
see the next article:
(Hungarian)
some parts have English translation:
(abstract)
(conclushion)
(graviton)
I look forward to your criticism of my definitions, because then it becomes clearer what you really mean.
Regards,
Laszlo
P.S: The critics was made onto the base of attached file:
attached file the original article published on 13.10.2023 has not been reviewed.
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I found this conference on (https://waset.org/ )I receive an acceptance letter and I can't know if this conference is legal or not. how I can making sure of this conference
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They're one of the mass conference-producing organization. They're famous for holding thousands (maybe tens or hundreds thousands) of sub-mediocre devoid of science conferences each year.
Are those conferences legal? -Yes.
Are they legit? -Not at all.
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Suppose a person has a very different perspective about an almost established scientific facts, and he still want to move ahead with establishing/sharing his perspective so what are the methods at his disposal?
One thing to note here is that the perspective have no support of existing literature nor of any lab observations.
Thanks
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Hypothesis?
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1. Prakash K.B.,Data science handbook: A practical approach,2022,Data Science Handbook: A Practical Approach
2. Prakash K.B.,Quantum Meta-Heuristics and Applications,2021,Cognitive Engineering for Next Generation Computing: A Practical Analytical Approach
3. Prakash K.B.,Information extraction in current Indian web documents,2018,International Journal of Engineering and Technology(UAE)
4. Prakash K.B.,Content extraction studies using total distance algorithm,2017,Proceedings of the 2016 2nd International Conference on Applied and Theoretical Computing and Communication Technology, iCATccT 2016
5. Prakash K.B.,Mining issues in traditional indian web documents,2015,Indian Journal of Science and Technology
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Researchers should cite paper that 1. It has been published in reliable scientific journals. 2. In connection with the research that has been done. 3. Valuable articles in terms of content, for example review articles. 4. It should have a high ranking and citation, which shows the value and practicality of the article.
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Are the conferences organized by The International Society for Engineers and Researchers (ISER) fake or real? They seem to organize many conferences each year and there are photos on their website to show those conferences are real. However, it is hard to get hold of the organizer for any detailed information on their conferences.
Anyone has attended their conferences before?
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Hi James,
Thank you for your reply. That was what I thought.
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Every single industrial enterprise has its own business model. They are the specific way an enterprise functions. In engineering we have 3d and 2d models which we design and develop and put into manufacturing. What is the knowledge that helps us along the way of first designing a business model of a new enterprise and then guides us into realizing this same business model by establishing a real enterprise with numerous of employees, buildings, machines, know-how to use it all and to realize the product we create according to our idea for a business model?
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Imo, Trifon Stefanov , it is all about identifying gaps to meet unmet human needs, i.e. the entrepreneurial spirit identifies these need gaps by multiple-loop learning. With respect to F.Hayek, the market process is therefore the best information system for entrepreneurial activity and not planned economic agency.
Kirzner's entrepreneur is a person who discovers previously unnoticed profit opportunities. The entrepreneur's discovery initiates a process in which these newly discovered profit opportunities are then acted on in the marketplace until market competition eliminates the profit opportunity.
_______
The essential quality of a market system, contrary to popular thinking, is not that it promotes greed; but rather, that it renders greed harmless.” Israel M. Kirzner
Conclusion:
Entrepreneurship is a specific learning process, circumventing existing knowledge.
___________
My goal was never to just create a company. It was to build something that actually makes a really big change in the world.
M. Zuckerberg
_________
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Dear Mathematicians, Control Engineers, and Optimization Enthusiastics, Could you please compute the domain through which this inequality holds (3/(x-2))<-1? If yes, please prove your answer.
(Note that: the solution is not x> -1, and please don’t use any symbolic math software)
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Thanks a lot
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Dear, Sir/Madam
my paper conference on IOP conference paper Material and Science Engineering has been claimed by others. please informed me how can i claimed back.
Sincerely Yours,
Edo Rantou Wijaya
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Thank you sir, i'll try it🙏
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Dear Research Community,
As a newcomer to the field of research, I am seeking guidance on a specific matter related to affiliations in research papers. Consider a scenario where a student is currently enrolled in an online Master's degree program at a reputable institution, such as the University of Berkeley. This student is preparing to publish a research paper in a peer-reviewed journal.
My question pertains to the formatting of the "affiliation" section. Should it be presented as follows:
Emma Smith Department of Engineering Management University of Berkeley, Berkeley Masters Of Engineering in Engineering Management Email: [email protected]
Or would it be more appropriate to include the term "Online," like this:
Emma Smith Department of Engineering Management University of Berkeley, Berkeley Masters Of Engineering in Engineering Management, Online
Should I make it more specific to write it in affiliation section as a online program
I appreciate your valuable insights and expertise on this matter
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When submitting a research paper as a student in an online Master's program, you should format the affiliation section to include the essential information that identifies your academic institution and program. Here's how to format it:
1. **Name**: Start with your full name.
2. **Affiliation**: Below your name, list your academic affiliation. In your case, since you are in an online Master's program, you can format it as follows:
- Your Name
- [Name of the University or Institution]
- [Online Master's Program, e.g., "Online Master of Science in [Your Program]"]
3. **University Logo (Optional)**: If your university provides a logo or emblem, you may include it next to the affiliation information.
Here's an example of how it might look:
```
John Doe
XYZ University
Online Master of Science in Data Science
```
If your program has a specific department or school, you can include that information as well:
```
John Doe
School of Engineering and Computer Science
XYZ University
Online Master of Science in Computer Science
```
Remember to check any specific formatting guidelines or requirements provided by the journal or conference to which you are submitting your research paper. They may have their own preferred format for the affiliation section. Additionally, ensure that your affiliation details are accurate and up to date.
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There is nothing worse for curb appearance than chipped and cracked concrete, particularly in steps. But you don’t have to put up with that blight any longer. By the result of weather changes exerted on an existing construction for prolonged time, it causes contraction and expansion those gradually results concrete steps cracks and break up with time.
Dear researchers, I would like to get expert opinions on how to fix this issue with,
optimum efficiency
low cost
prolonged sustainability .
Your answers are highly welcomed.
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Dear Doctor
Go To
Cracks Evaluation of Reinforced Concrete Structure: A Review
hmad Zaki et al. 2021 J. Phys.: Conf. Ser. 1783 012091
"Abstract
Many reports state how serious the problems associated with cracking in reinforced concrete (RC) structures worldwide. The cracking can cause damage and destruction to RC structures. The cracks are the damage to RC structures that require repair or replacement. Analysis of the damage level as early as possible on the RC structure cracks can reduce the greater impact and streamline the cost of repairing the concrete structure. Therefore, non-destructive testing (NDT) method is needed on the RC structure, namely: visual inspection technique. The image obtained from the visual inspection is then analyzed using image processing. After that, the concrete structure with cracks is tested for quality (compressive strength) using the rebound hammer technique with a rebound index. From the image processing and rebound index results, the damage from the cracks that occurred can be concluded so that the repairs become more effective and efficient."
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The question of whether the engineering syllabus in India is outdated has been a subject of debate and discussion for several years. Critics argue that the traditional engineering curriculum in India places excessive emphasis on theoretical knowledge while often neglecting practical skills and real-world applications. This approach has been seen as less relevant in an era marked by rapid technological advancements and the need for multidisciplinary expertise. Moreover, the syllabus was criticized for not keeping pace with evolving industry demands and global standards. Some argue that it should incorporate more practical, hands-on experiences, emphasize soft skills like communication and teamwork, and adopt a more global perspective. It's worth noting that efforts to reform and modernize engineering education were underway, with organizations like the All India Council for Technical Education (AICTE) and universities working on curriculum revisions.
Nevertheless, whether the syllabus is truly outdated or not may vary across institutions and engineering disciplines, and opinions on this matter continue to evolve.
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India is a country which has procured Raffle advance fighter jets for protecting it's borders, at the same time the the defense minister rely on enchanted lemon chili spells to protect Raffle from evil eye. So reaching moon is not a rocket since to us, it can be done in few sessions of witchcraft and sorcery.
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📣 Spread the word! 🎓 Open PhD position at the Chair of Mechanics, Faculty of Civil Engineering, University of Ljubljana. ⏳ Application deadline: 7 September2023 If you are aware of any qualified master students (Engineering with strong backround in Mechanics, Computational Engineering, Civil/Mechanical Engineering or related fields) then encourage them to apply! ℹ️ See https://lnkd.in/gfdUG6mY for more details!
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NIce Scope for research.
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How to obtain product feedback from existing customers to create a better version of your product?
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Survey is definitely the answer but if the customers are uncomfortable providing a social media page or website platform for review and recommendation might also be fruitful.
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Engineering for One Planet is an authoritative framework for universities of technology, but it may not be the best or the most transformative one. I wonder what experts in sustainable education, engineering ethics, reflexive engineering, etc. think about it and whether they could recommend better alternatives.
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We need to immediately utilize a problem- solving framework for HEIs. This approach is very relevant for:
a. addressing operational issues and challenges within the institutions;
b. addressing and resolving developmental challenges;
c. aligning and realigning operational=developmental initiatives;
d. improving curriculum across all disciplines;
d. attracting and retaining faculty and students and providing a strong sustainable revenue stream for HEIs;;
e. ensuring workplace relevance graduate employability.
If you are aware of a university that needs this type of assistance, I might be willing to serve on contract.
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Design of Industrial Automation Systems - Formal Requirements in the Engineering Process
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I'm not sure if I understood your question, but in order to run an industrial process efficiently, one must start with the first, most important step: creating a mathematical model that captures both the transient and steady-state characteristics of the system. The model should explicitly indicate any inputs that cause a disturbance as well as the system's inputs and outputs. Then, based on the system's open-loop performance, you can select a suitable control strategy from the wide range of alternatives described in the literature.
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Complex graphical sketches are highly involved in Culmann's methods. Therefore, it is highly prone for getting deviations in magnitudes for resultant pressure on retaining wall. I would like to get suggestions from RG colleagues on why Culmann's graphical approach is mostly preferred in many research papers albeit Rankine's method is easy and precise in terms of equations and substitutions. I would welcome answers from both theoretical and practical perspectives.
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Rankine theory is specific to vertical and smooth wall. But culmann's graphical approach is also for inclined wall. I think this is major cause of choosing Culmann's graphical approach over Rankine theory.
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SEHS
(Science, Engineering and Health Studies)
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Hi Dr. Saran Malisorn, Interesting question
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Dans cet article , je suis co-auteur. Lorsque je tente de le poster sur Researchgate, mon nom s'affiche comme Pierre Mbang et un message renseigne que je n'ai pas de droit sur cet article. Comment pouvez-vous aider à resoudre cette difficulté?
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Pour cette publication, seuls les 3 premiers auteurs sur 10 sont indiqués dans ResearchGate. Pour revendiquer votre qualité d'auteur : 1. Cliquez sur le bouton More en dessous des statistiques sur le côté droit. 2. Sélectionnez Claim authorship - is this your work ? dans le menu déroulant. 3. Cliquez sur My name is not on this list + Add name (Mon nom ne figure pas dans cette liste + Ajouter un nom).
Une autre façon de corriger ce problème est de demander à Bianza Moise Bakadia (https://www.researchgate.net/profile/Bianza-Bakadia-2) ou à Lallepak Lamboni (https://www.researchgate.net/profile/Lallepak-Lamboni) d'ajouter les 7 auteurs restants. Ouvrez leurs profils et utilisez le bouton "Message" pour leur envoyer un message.
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I want to calculate Rayleigh number and Nusselt number of a PCM-heatsink to analyze the intensity of the natural convection of PCM. There are some fins inside my heatsink to enhance the heat transfer. Now I am having trouble calculating the characteristic length to use in Rayleigh and Nusselt dimensionless numbers.
I would be grateful if you could help me.
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The Rayleigh number (Ra) is a dimensionless number used to predict the flow regime (conduction, convection, or mixed) in a fluid when it is heated from below. In the context of a phase change material (PCM)-heatsink system with fins, the characteristic length is an important parameter for calculating the Rayleigh number.
The characteristic length (L) used in the Rayleigh number calculation can vary depending on the geometry of the system. In the case of a PCM-heatsink with fins, the characteristic length can be defined based on the specific geometry you are dealing with. Here are a few possibilities:
  1. Fin Height (H): If the characteristic dimension of interest is the height of the fins (assuming they are vertically oriented), you can use the height of the fin as the characteristic length. This would be suitable when the heat transfer is mainly driven by natural convection along the fins.Rayleigh Number (Ra) = (g * β * ΔT * H^3) / (ν * α)Where:g: Acceleration due to gravity β: Coefficient of volumetric expansion ΔT: Temperature difference between the heated surface and the surrounding fluid ν: Kinematic viscosity of the fluid α: Thermal diffusivity of the fluid
  2. Fin Base Width (W): If the characteristic dimension is the width of the fin base, you can use this value as the characteristic length. This might be more appropriate if the heat transfer occurs primarily through the base of the fins.Rayleigh Number (Ra) = (g * β * ΔT * W^3) / (ν * α)
Remember that the choice of characteristic length depends on the dominant heat transfer mechanism in your specific setup. The key is to select a length scale that is relevant to the phenomenon you are trying to analyze.
Additionally, when dealing with PCM systems, keep in mind that the melting and solidification of the PCM can introduce additional complexity to the heat transfer process. You might need to consider the effects of latent heat and phase change in your analysis.
Before performing calculations, ensure that the physical properties of the fluid, PCM, and the geometry are accurately determined. It's recommended to consult relevant literature, research articles, or textbooks in the field of heat transfer to find appropriate values and guidance for your specific configuration.
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Urgent reform is needed for all higher education in the world for the interest of the students ! Of course fine-art majors' students may need sometimes even face to face, one to one study with their academicians !
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BENEFITS:
You may avoid high tuition fees & other living expanses. You can live in your family house with your family. You can work full time & get experienced in job(s) & gain considerable income & also accumulate retirement pensions.
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Hi,
I have a basic question about cell engineering. Is it possible to load or engineer mammalian cells to produce certain chemicals?
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Yes, although it depends on the substance and the type of cells. A recent example is using mRNA vaccines to cause cells to produce COVID-19 spike proteins which act as antigens. Did you have a specific chemical and cell in mind?
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The Ricci tensor assumes the role of helping us understand curvature. Within my Universal Theory research, the Ricci tensor unveils itself. I was pleased to find as detailed in my research document on the Grand Unified Theory Framework (of which advancements in technology are showing there may be more than one viable form of as science progresses)that the Ricci Tensor was typically vanishing to zero in relation to the schwarzschild metric as it should back when I was performing feasibility and speciousness checks via calculations with other experts and myself. But in practical applications of the Grand Unified Theory Framework, vanishing to zero unravels very intriguing consequences.
One of said consequences was something small and interesting I wanted to discuss. The purpose is to highlight the intricacies of implementing such a highly comprehensive concepts in practical settings such as code. To thus detail the challenges researchers may face when translating comprehensive physics and mathematics formulations into concrete applications. More often than not I have found it requiring innovative adaptations and problem-solving. I also want to hear if anyone has any experience with similar things and what their experience was.
My recent amd past ventures into authenticating the Universal Theory framework in code but also writing complex neural networking and AI code with it, as well as Quantum computing code had a lot of interesting hurdles. I immersed myself in the depths of this then encountered a peculiar happenstance. The vanishing of the Ricci tensor to zero in the code procceses. I didn't realize why a lot of the code wasn't working. It's because I was trying to run iterative artificial learning code. And since it incorporated the Universal Theory, and did so in a mathematically accurate way (also authenticating it in various ways via code this way is possible) I didn't realize that no matter what I did the code would never work with the full form of the theory, because the Ricci tensor would always vanish to zero in terms of the schwarzschild metric within the subsequent processes running off initial code. And while this was validating for my theory it was equally frustrating to realize it may be a massive hurdle to institutingnit in code.
This unexpected twist threw me into a world where certain possibilities seemed to evaporate into the ether. The task of setting values for the tensor g_ij (the einstein tensor form utilized in the Grand Unified Theory Framework) in code had to demand a lot of intricate modifications.
I found myself utterly lost. I thought the code was specious. Before I thought to check the ricci tensor calculations, Christoffel and Riemann formations and got it running. I think it's quite scary in a way that someone could have similar code with my own or another form of Unified Theory but if they didn't have THAT sufficient of knowledge on relativity, they may never know the code worked. I feel few have attempted to embrace the tangible variations of complex frameworks within code. I wanted to share this because I thought it was interesting as an example of multidisciplinary science. Coding and physics together is always interesting and there isn't a whole lot of support or information for people venturing into these waters sometimes.
I would like to know what everyone thinks of multidisciplinary issues such as this as well, wherein one may entirely miss valuable data by not knowing what to look for, and how that may affect final results and calculations of research and experimentation. In this situation, ultimately I had to employ some of the concepts in my research document to arrive at the Ricci tensor without any formations of Christoffel or Riemann symbols in the subsequent processes. I thought that was interesting from a physics and coding perspective too. Because I never would've know how to parse this code to get it functioning without knowledge of relativity.
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Also I'm not sure where you are looking, but I suppose I WAS wrong. It's actually the top 1 percent relative to its release and 82 percent overall, and the stats are the same for my profile. I've attached the picture. Leo Lazauskas Leo Lazauskas
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Describe the implementation of coordinator geometry & linear algebra in the field of Engineering.
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There is no mathematical subject as (coordinator geometry), that is Coordinate Geoemetry or Analytic Geometry which is invented & designed Rene Descartes. Also sometimes it is also called Cartesian Geometry in honor of R.Descartes.
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Using machine learning algorithms
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  1. Surrogate Modeling: Using ML to create simplified models of complex physical systems for faster simulations and improved understanding.
  2. Data-driven Discovery: Employing ML to find patterns and relationships in data to make new scientific discoveries and develop innovative products.
  3. Inverse Problems: Solving problems that infer underlying causes from observations using machine learning techniques.
  4. Computer-Aided Engineering (CAE): Enhancing accuracy and efficiency in engineering simulations and automating the design process with ML.
  5. Healthcare Applications: Utilizing ML in medical image analysis, drug discovery, and personalized medicine for advanced healthcare solutions.
These topics represent some of the exciting frontiers where machine learning is making significant contributions to computational science and engineering research.
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Q1: Would you like to know many innovative keys and many facts about the words that you speak, use, utilize, and develop?
Here is an open invitation to Join:
Unified Word Engineering (UWE))
LinkedIn Group
Unified Word Engineering (UWE) Overview
“A Word is the foundation stone of science and knowledge.”
“A word is a guide for all nations to follow.”
“A Word for freedom is like a fortress and a shield.”
We have more than 300 questions to answer about a Word:
Do you know the true meaning of a Word?
Do you understand what a Word is?
Do you know the ultimate goal of a Word?
Would you happen to know the functional requirements?
Do you know the nonfunctional requirements?
The answer to all the previous questions is: NO.
We have discovered unified and constant innovations based on our discoveries of more than 50 intrinsic and inventive factors called “Innovative keys,” more than 100 new pieces of information per Word, and we have answered more than 300 questions about any word about (a Word).
A word can be documented with more than fifty new innovative keys and a lot of new data in three to more than five thousand pages.
“A word is closely related to art, science, and engineering.”
“A word does not have synonyms and will be treated as unified, fixed, and unique.”
What is the art of a Word?
It raises other questions, including new science called the “Art of Abstraction.”
What is the significance of a Word?
What is the value of a Word?
What are the advantages and ethics of a Word?
What are the aesthetic qualities of a Word?
What is the final and comprehensive definition of any word?
What are the uses of a Word technically?
Etc.
What is the science of a Word?
It raises other questions, including the result of a new branch of science called Fayad’s Dictionary.
What is a word classification?
What is the unifying goal of any word?
Hint One: It is the only goal for all the Word scenarios.
Hint Two: Most Words have one goal, a few words have two goals each, and scarce Words have three goals each.
Hint Three: Each goal represents a system. Therefore, if a Word has three goals, it means three systems.
What are the positive impacts of the unified goal of any word?
What is the commotion for any word?
Do you know what reliable sources are for any word?
What is the Word’s responsibility?
What roles does Wordplay play?
What is the code of honor for a Word?
Etc.
What is the engineering of a word?
What is the map of knowledge of a Word?
What are the basic needs and requirements of a Word?
What is the unified and consistent form of a Word?
Could you tell me what the nonfunctional requirements are in Word?
What are the applications of a Word?
What are word behaviors?
What are the modeling techniques of a word?
Each of these questions raises many questions.
What are the rules, policies, and constraints of a word?
We will discuss all these issues in different articles in our magazine.
.
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I believe it is an exciting and crucial topic, personally and professionally. So, my answer is YES!
Thank you for asking, Dr Fayad.
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I would like to ask a general question: Any other physicists of any kind, what do YOU see as the fundamental flaws currently existing in mathematics-to-physics (or vice versa) calculations in a general sense? Is it differences in tensors, unknown values, inconsistent unreliable outputs with known methods, no reliable well-known methods ect? Or is the problem to you seen as more of a problem with scientific attitudes and viewpoints being limiting in their current state? And the bigger overall question: Which of these options is limiting science to a higher degree? I'd love to hear other's comments on this.
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André Michaud A sensible man indeed! And perhaps we share this outlook because I tend to look at physics through an engineering lens. To me, if one cannot prove their theoretical words with actual equations, it doesn't hold much of a basis at all. I do believe that mathematics and physics are intimately entertained and that physics is simply the study of emergent properties of physical mathematics. It's interesting and quite hillarious you say that you barely have seen a theoretician pick up a calculator in 25years. Unfortunately that used to be me, and you are very right that a more stagnating thing does not exist. With perspective on that I can say my theoretical physics, although thought provoking, rarely had any use, either practical or academic that anyone even wanted to see, cared about, or even could get employed off of. I started getting a lot of success when I realized that the math is fundamental and that I was deluding myself into thinking it wasn't because I wasn't good at it. To be quite honest I found I thought I "wasn't good" at typical mathematics because it was just too abstract for me. "1+1=2." Okay, one what plus one what equals Teo WHAT? Distance? Amount of friends? Weight. It was just way too theoretical for me, abstract numbers with no unit, basis or story attached. Basically unreal axiom that help us understand things. Humans kinda forgot this abstraction is simply a tool to help understand things, not an actual representation of Universal constants. It can indicate those things via representation but that's it. Once I started dealing with physics and engineering in a less theoretical sense, I realized my problem with why I thought I couldn't do math was that pure mathematics (Shoutout Doom) Was just far too abstract. I think a lot of people who are convinced math and physics aren't always intimately entertwined have this problem, a kind of innate fear and of their own competency with math that affects the logic of this assumption. I'm also relatively sure as well that looking at these things I have said here, a lot of people afraid of their mathematic ability would find they are actually very good at it when abstraction is removed. But maybe that is just me. Jixin Chen I also hate to keep referencing back to my paper (if anyone has any info on this let me know) but there are many examples in the mathematics and quantum physics sections that show how mathematical equations are proven to be able to represent absurdly complex quantum physics principles and constants of nature in a neat "package".
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What does a density ratio of 5 to 1 mean to you, as a scientist, mathematician, engineer, technologist, sociologist, planetologist, or other?
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Dear Nancy Ann,
Indeed Earth is the densiest body in our solar sysem due to the rather large Ni/Fe core. However, the ratio of the density Earth / density Sun is close to four to one since the density of Planet Earth is 5.52 g/cm3 while the sun's density is 1.41 g/cm3. Moreover, keep in mind that the density is strongly dependent on the pressure and composition of a celestial body:
Earth Crust: 2.8 g/cm3
Earth Mantle: 4.5 g/cm3
Earth Core: 11.0 g/cm3
The density of the Sun's core is about 134 g/cm3 due to the enormous pressure caused by the gravity, which by the way enables the fusion reactions. A short list of densities was compiled for my students (see attachment in German language)
The cosmological density parameter is believed to be close to 1, since the critical density (for gravity collapse) is 5·10-30 g/cm3. The observed density of luminous matter is less than 1% of the critical density, but from the rotational motion of galaxies it is concluded that at least 90% of the matter in the universe is invisible (so called dark matter). Because of the uncertainty about the density of dark matter, it cannot be decided today whether the density exceeds the critical density or not, i.e. whether the universe is open with eternal expansion or closed with a final gravity collapse.
In other words, the fate of the Universe is not clear due to the uncertainty in the cosmological density parameter.
Thanks again for the great discussions you started!
Thomas
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I am a mechanical engineer and want to know why does asphalt crack and what are the techniques to fix it, what are the preventive actions that may be taken to eliminate such phenomena.
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Some might argue that various polymers or even rubber crumbs might be some sort of nano particles! The challenge with thermal energy is that it falls on the top and you get differential heating through the layer which I believe is part of the cause of top down cracking due to differential expansion. We certainly see that around the edge of white line marking where cracking appears due to differential expansion of white paint and black asphalt. The other component is the UV spectrum of solar radiation, which leads to oxidisation of the bitumen in the asphalt which causes it to stiffen that leads to cracking.
Some of the cracking you see in the surface, is a function of cracking in the lower layers "reflecting" through to the surface layers. Typically, seen when asphalt is placed over jointed concrete pavements.
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The Science and Engineering Research Board (SERB) INDIA is delighted to announce the availability of National Post Doctoral Fellowships (NPDF). This opportunity is open to eligible candidates, particularly PhD students. I extend a warm welcome to interested researchers to pursue their Post Doctorate with me and encourage them to apply for the National Post Doctoral Fellowships.
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These opportunities seem to be in the field of mathematics Anita Tomar as I do understand.
You may be interested to read into the following article:
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"What is a non-STEM major? A non-STEM major is a major that isn't in science, technology, engineering, or mathematics. This means non-STEM majors include those in business, literature, education, arts, and humanities. In STEM itself, programs in this category include ones that emphasize research, innovation or the development of new technologies."
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The preference of students for non-STEM (Science, Technology, Engineering, and Mathematics) majors over STEM majors can have various implications for a nation's future in terms of science and technology advancement. However, it's important to note that the situation is more nuanced, and the impact of such preferences can vary depending on several factors.
Here are some considerations:
  1. Diversity of Skills: While STEM fields are crucial for technological advancement and innovation, non-STEM fields also play a significant role in society. Business, literature, arts, humanities, and other non-STEM fields contribute to the diversity of skills and knowledge within a society, fostering well-rounded individuals who can approach challenges from various perspectives.
  2. Economic Contribution: Non-STEM fields can be profitable and contribute to the economy in different ways. For example, the entertainment industry, arts, design, and business sectors generate revenue and create jobs. A balanced mix of STEM and non-STEM professionals is necessary for a thriving economy.
  3. Interdisciplinary Collaboration: The future of innovation often lies in interdisciplinary collaboration. Many complex challenges require the integration of STEM and non-STEM expertise. For example, solving environmental issues may require input from environmental scientists (STEM) and policy experts (non-STEM).
  4. Education and Awareness: Sometimes, students may choose non-STEM majors due to a lack of awareness about the potential and opportunities in STEM fields. Addressing this issue by promoting STEM education and showcasing the exciting prospects in STEM careers can influence students' choices positively.
  5. Global Perspective: The impact of students' preferences for majors extends beyond national boundaries. In a globalized world, innovation and progress depend on collaboration among countries, regardless of their STEM/non-STEM focus.
  6. Balancing the Workforce: Nations need a diverse workforce with a mix of STEM and non-STEM professionals. An overemphasis on STEM majors may lead to a shortage of skilled professionals in non-STEM fields and potentially hinder the growth of industries that rely on such expertise.
Ultimately, the ideal scenario is a balanced approach that encourages students to pursue their passions and interests while being informed about the opportunities and challenges in various fields. The promotion of STEM education is crucial for technological advancement, but it should be complemented with efforts to recognize the value of non-STEM fields and encourage a diverse range of career choices. An educated and well-rounded society, with a mix of STEM and non-STEM professionals, is essential for holistic progress and development.
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Hi everyone! I got an invitation to submit a paper to the following SCI-E/SCOPUS MDPI journal (special issue):
The Article Processing Charge (APC) is 1400 CHF (Swiss Francs) per accepted paper. However, the fees will be fully waived (as it is an invitation to contribute) if I can submit the paper by the end of June 2020.
If anyone have a collaboration idea, please send me a message.
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Good Question
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Gostaria de me apresentar como Editor da RCE-UNITAU, Meu nome é Arcione Ferreira Viagi (http://lattes.cnpq.br/1546647518497478) e tenho a missão de reformular, retomar e fortalecer a revista, nacional e internacionalmente.
Tomei a iniciativa de divulgar no ResearchGate para obter novas submissões de artigos completos inéditos, artigos completos publicados em anais de congressos e relatórios técnicos na área de Ciências Exatas.
Segue uma breve descrição da RCE-UNITAU:
Revista de Ciências Exatas (RCE), em versão exclusivamente eletrônica, é uma publicação semestral do programa de Pós-Graduação stricto e lato sensu em Engenharia Mecânica da Universidade de Taubaté (SP). Foi criada com os objetivos básicos de atender a demanda para a produção cientí­fica das universidades brasileiras e internacionais, visando estimular o debate acadêmico, divulgação, discussão, critica e referencial sobre a evolução e dinâmica das Ciências Exatas em suas diferentes dimensões no âmbito das atividades públicas ou privadas, focando nos aspectos Sociais, Ambientais e Econômicos para o desenvolvimento sustentável.  A Revista de Ciências Exatas (RCE) é uma revista de orientação pluralista e publica trabalhos que apresentem contribuições originais, teóricas ou empí­ricas, relacionadas ao campo das Ciências Exatas a um programa de pós-graduação em Engenharia, valoriza o desenvolvimento do diálogo interdisciplinar, abrindo espaços para contribuições de outras áreas (saúde, engenharias, arquitetura, psicologia, história, ciências ambientais) que apresentem interface com o projeto central da revista. Encontra-se disponí­vel para colaboradores nacionais e internacionais e possui um conselho editorial variado, distribuí­do por várias instituições e regiões do Brasil e de vários outros países.
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Would you happen to know the word/concept properly?
Do you understand the language (word/concept) correctly?
Can you properly develop any cultural, scientific, or cognitive field?
Can you add new innovative areas?
The Answers
The answers are based on our discoveries of more than 50 innovation keys, more than 100 new facts per concept, and answering more than 300 questions about any word, language, or field.
The answer to all questions is NO.
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We must learn the word/concept properly! (Fayad's Unified Concept Engineering (F-UCE))
We must understand the language (word/concept) correctly! (Fayad's Unified & Stable Linguistic Engineering (F-ULE))
Therefore:
We must correctly develop any cultural, scientific, or knowledge field (Fayad's Unified Domain Knowledge (F-UDK) that allows adding recent innovative areas.
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The major problem prevent acceptance of new technologies are multiple, including.
(Thousands of questions without clear answers)
1. Intellectual and cognitive growth has been relatively halted
2. Terrible inflation in all areas
3. The hollow argument in the same field and the argument between the domains
4. Clinging to the old domains of the owners of the same field and not allowing modern innovations and their innovators
5. Hegemony by countries, entities, bodies, institutions, and individuals that influence many things in our lives and our cultural, cognitive, scientific, and ideological lives, and so on.
6. Personalization, including immorality, strengthens interest in proper roles, which is the most important, and our need for appropriate knowledge of the correct positions, person, word/concept, and field. Adhering to the gangs' occupation against the innovators, their beliefs, their identity, and where they came from
7. Although there are standard and evaluative methods, we urgently need other, more accurate, professional means of innovation and their roles.
8. Not knowing the genuine innovations, their value, and their importance created turmoil in word/concept, language, and field.
8. Research is limited to the elite of people, countries, institutions, and certain entities, opening the door to corruption and ruin for humanity.
9. The terrible failure of the vast majority of human beings, bodies, institutions, and states in most areas that pertain to each of them (there is no prosperous country 100 out of 100, and there are individuals, bodies, institutions, and states that fail 100 out of 100).
I will ask frank questions without turning around to get acquainted with the latest innovations and knowledge, to know the word/concept and understand the language, which is the mother of sciences, so that we can develop all fields and add final and actual solutions to all our problems, God willing.
I will prove that the word/concept has a mighty cognitive, cultural, and economic power. It will achieve considerable gains in all fields and create opportunities for Any words/concepts, languages, areas, and terrible numbers of people, bodies, institutions, and countries.
Invitation to all individuals, Groups, Organizations, and others:
I would like you to cooperate with me in
1. To write books about those mentioned reasons
2. Research and write in the word/concepts that interest you and any language you like or a field you know with the knowledge of an expert with only one condition that you are a science student and the door is open to anyone who has regained success and excellence
We can write any word in more than 5,000 pages of innovations and new information (We already started with 4,000 words/concepts.) The new field is called Unified Concept Engineering.)
We are writing the language (Unified and Fixed Language Engineering) in more than 12 volumes, and each book has 5,000 pages of innovations and new information (We have already started. In 3 books)
We can write any field (Unified Field Engineering) in more than ten volumes, and each book has 5 thousand pages of innovations and new information (We already started with a few). We are working on a few flagship magazines and Journals)
3. Conducting seminars, interviews, and television episodes about these innovations in the word/concept, language, and field of knowledge
4. Developing existing fields and adding new ones requires the assistance of more than one person, organization, institution, and country.
We plan other things according to how and how much cooperation we will get.
If you are interested, Leave a message for me.
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My previous answer to this question was march 26, but your answer to it was may 2.
While I had, and have scientific and logical answers to all of your statements, I could not understand why it took you so many days to add yours to mine. Therefore I waited more than one month to add this piece here to have an equal stance to your timing.
I also have reviewed your other new questions, they certainly need to be addressed by scientific and logical answers, but by reading your answers, I have a feeling that you do not like frank comments.
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Journal of Studies in Science and Engineering (JOSSE) has been publishing for less than two years and has already made significant strides in science and morality journey. The most recent accomplishment of JOSSE is DOAJ indexing. I'd want to take this opportunity to thank the editorial board and all of the authors for their dedication, support, and hard work in helping JOSSE reach this point. It is also a fantastic accomplishment for writers whose papers were published in JOSSE because all of them are now indexed in DOAJ.
The next stage for JOSSE is to enter to Scopus and Web of Science, which Scopus has already rated as being 100% ready for when JOSSE turns 2 years old in September 2023.
To maintain the quality and the advancement at this stage, JOSSE requests qualified Editors, Reviewers, and quality papers.
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It has a reasonable time frame for review. It takes 14 days. After acceptance it needs 10 days to be relaesed online.
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Examples of how to increase the contact surface area of the bottom area? Thank you.
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Hi, I am not a material engineer and I am curious about whether the regular crystallization of a material makes it more strong or more fractile in comparison to irregular structures such as amorf in glass? Or changing regular zones orientation makes it harder?
Thanks.
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thanks
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Now a days, core subjects in Engineering such as electrical, electronics, chemical, mechanical and civil apart from computer science are getting least priority for option. These days everything is controlled, operated and done by software based instead going manually or making decision collectively. Most people are depending on what computer says to follow or understand in several fields. Will this continue or in what way does other subjects may or shall occupy a prominent position or importance on par with computer science?
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The increasing prominence of computer science in various industries, including engineering, is due to its role in automation, data analysis, and efficiency enhancement. However, core engineering subjects such as electrical, electronics, chemical, mechanical, and civil engineering remain crucial. Computer science complements and enhances these disciplines rather than replacing them. Interdisciplinary collaboration, automation and control, simulation and modeling, hardware design, and domain-specific challenges are some areas where core engineering subjects retain their importance. The integration of computer science and engineering leads to advancements and innovations that benefit society. Recognizing the value of both fields and fostering interdisciplinary collaboration is essential for future progress.
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European Journal of Engineering and Applied Sciences
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Yes I will submit
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Hello everyone!
I recently received invitations to contribute an article to the current issue of the Journal of Brilliant Engineering (BEN) and Chemistry and Biochemistry. Can anyone with experience or knowledge about these journals confirm their originality?
Thank you.
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Rahim,
They're certainly original.
But I've read the 'mission statement' of BEN, and can find no compelling reason to submit work there.
Indeed, here's one reason to not submit to the journals run by Prof. Aydin:
I quote from:
"An artificial intelligence based English proof system checks the language of the paper."
Mmm.
Call me old-fashioned, but it shouldn't be too hard to find someone to read a submission who is a native english speaker.