Engineering - Science topic

Core engineering subjects like mathematics, physics and chemistry form the foundation for many computer science applications and technologies. To make them on par with computer science, the theoretical basis of these subjects needs to be expanded to include more up-to-date and advanced topics. For example, mathematics should be taught with more emphasis on applied topics such as numerical methods, stochastic processes, and machine learning, while physics and chemistry should focus on newer topics like nanotechnology, biotechnology, and semiconductor physics. Furthermore, the practical courses should be adjusted to include topics such as programming, embedded systems, robotics, and cyber-security. Finally, courses in other engineering-related topics such as signal processing, systems engineering, and artificial intelligence should be included in the curricula.

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.

Six minutes in Inkscape gives this - and I'm rusty.

They are broad Joseph, the journal considers this broad area at the moment.

There are some excellent ultrasonic flow meters available but read carefully claims of accuracy and note all disclaimers. While these might achieve a high level of accuracy under certain ideal conditions in a laboratory, this does not mean that you can stumble up, clamp one on to any old pipe anywhere, and measure the flow to that same accuracy. Accurately measuring any flow in any pipe is an extremely difficult and complicated task, regardless of the instruments used. There are many good references on this subject published by ASME, CTI, IIHR, USNRL, TVA, etc.

The Reynolds number UD/nu=2300 is based on a smooth circular pipe of diameter D, with STEADY mean flow velocity U and fluid of kinematic viscosity nu. Below this critical Reynolds number any perturbation due to an obstacle will not cause persistent turbulence to occur far downstream of the obstacle. Of course locally the wake of a blunt body placed in the pipe can be turbulent, but soon the flow will relaminarize if we travel further downstream. Above Re=2300 the flow does not need to be turbulent. It can be turbulent if there is a sufficiently large initial upstream perturbation. In principle the flow can remain laminar if the inlet is very smooth and care is taken to avoid vibrations. Experimentally fully developed laminar pipe flows have been achieved for Re=500. 000. It is important to realize that this critical Reynolds number does depend on the geometry of the cross-section of the channel. For a rectangular channel of height h and width w >>h, usually one considers a Reynolds number Re=Uh/nu based on the channel heigth. The critical Reynolds number for allowing turbulence is around Re=hU/nu=1100. There is however much less literature on flows through slit shaped channels than circular pipes. If you consider an open channel flow, clearly the critical Reynolds number will be quite different from Re=2300 and of course it does depend on the length scale used in the definition of this Reynolds number!

1. Reverse Engineering: A Practical Guide, by Douglas R. Cobb

2. Reverse Engineering: The Art of Deconstructing a System, by John Aycock

3. Reverse Engineering for Beginners, by Dennis Yurichev

4. Reverse Engineering: Principles and Applications, by Carl Schou

5. Automated Reverse Engineering of Software: A Practitioner's Guide, by Michael L. Collard

6. Reverse Engineering: An Introduction to the Basic Concepts, by Andreas Zeller

7. Reverse Engineering of Object Oriented Code, by Donohue and Holt

8. Reverse Engineering for Beginners, by Dennis Yurichev

9. Reverse Engineering of Software: An Introduction, by Gary McGraw and John Viega

10. Reversing: Secrets of Reverse Engineering, by Eldad Eilam

Dear All,

Hello!

About two years ago, I asked the following question from myself and shared it with you:

“Suppose that you have a real-world structural reliability problem without any information about its limit state function, the geometry of the performance function, and the safety level of the problem (i.e. the performance function can be estimated by a finite element method-based software).

Among the existing reliability methods, which one is your choice? Why?”

I highly appreciate your consideration and contribution. During these days, besides reading your comments, I had an enjoyable collaboration with Matthias Faes (and nice discussions with Prof. Karl Breitung and Marcos Valdebenito) for this issue. As a result, the following is our attempt (Matthias and I) to mathematically answer the proposed question (and some other popular questions) which is published as a paper: .

I can roughly reduce our understanding and the topics of our study to the following points:

1) For a black-box problem with no information about the in-hand problem, if you are looking for efficiency, mathematically, no reliability method is preferable to others!

2) No-Free-Lunch theory says: if a method looks awesome for solving a certain class of problems, essentially, it performs badly for all remaining sets of possible problems! Therefore, if some information about the in-hand problem is available, the important thing for efficiently solving the problem would be human reliability in the selection of the proper reliability algorithm (e.g. understanding the geometry of the problem and accordingly, selecting a proper algorithm which is fit to the information of problem)! You may penalize with a huge function call or/and wrong results in the analysis if employ the wrong person for solving a simple/complex problem! This means that the main problem in reliability analysis is (often) not algorithms! It is practitioners that select bad algorithms for an in-hand problem.

3) Among several practitioners, and for a wide range of alternative reliability algorithms, which practitioner may distinguish the proper algorithm better than the others? Considering the selection problem as a “decision making under uncertainty” and the practitioner as a classifier, we provided some information about the potential application of detection theory in reliability analysis. Detection theory provides a nice mathematical tool for investigating this issue. Using this idea, in future studies, one may design an agent (in machine learning) for the selection of a proper algorithm for solving problems in certain fields (not possible? Ask ChatGPT! ;) ).

4) The last two comments say that the reliability analysis is a “human-in-the-loop” process (e.g., the decisions of a human are a part of the reliability process). In the paper, instead of using the belief of a practitioner, we suggest a solution for fusing the beliefs of experts (we just replaced the belief of experts with the reports of sensors in fusion theory!) regarding the selection of proper algorithm in solving a certain problem (replacing the human-in-the-loop with an experts-in-the-loop process). In this case, some fusion problems are solved in detail and in simple words!

Of course, this is not the end of the issue and our study is just looking at the topic from a different perspective. We hope the materials provided in the paper are useful.

I would be grateful if you share your opinions/ideas about the proposed topics here (or through email).

Regards,

Mohsen

Dear Rahim Alijani,

Transfer learning is a machine learning technique that involves using a pre-trained model on a large and diverse dataset as a starting point for training a new model on a related but different task or dataset. Transfer learning has shown promise in enhancing complex systems by leveraging knowledge from similar domains or applications to improve performance, reduce training time, and overcome data scarcity issues.

Here are some advances of transfer learning in enhancing complex systems:

Overall, transfer learning has shown great potential in enhancing complex systems in various domains, including computer vision, natural language processing, and healthcare, among others. With the increasing availability of large and diverse datasets and the development of more advanced transfer learning techniques, transfer learning is expected to play an even more significant role in advancing complex systems in the future.

This is a very important comment -- ChatGPT will make up fictional citations in many of its responses. Why they programmed it do this may be answered here:

Dear Md Afzal Ismail ,

The journal “Jilin Daxue Xuebao (Gongxueban)/Journal of Jilin University (Engineering and Technology Edition)” with website https://jilindaxuexuebao.com is a hijacked version of Journal of Jilin University (Engineering and Technology Edition).

The legit homepage is most likely http://xuebao.jlu.edu.cn/gxb/EN/1671-5497/home.shtml (which as you can see is exclusively for Chinese authors and written in Chinese language, see enclosed file for an example).

This journal is a known and identified example for being a victim of hijacking as can be found here https://retractionwatch.com/the-retraction-watch-hijacked-journal-checker/ See also the comments at the corresponding SCImago link where victims of this fraud describe their experiences.

So, be warned to stay away from this one.

Best regards.

PS. Even if one is not aware of the hijacking there are numerous red flags when it comes to the fake version:

-The fake website is a poor and vaguely constructed one

-Basically, all info (contact info etc.) is missing

-The journal is mentioned on the ores site https://ores.su/en/journals/jilin-daxue-xuebao-gongxuebanjournal-of-jilin-university-engineering-and-technology-edition/ Over the last few years I’ve seen numerous example of journals with issues (hijacked, fake peer review, exploiting Scopus indexing for as long as possible, already discontinued from Scopus etc.).

The construction industry has a significant impact on the environment, but there are many sustainable practices available that can help to reduce its negative impact.

I believe that by adopting these practices, the industry can become more sustainable and reduce its impact on the environment.

Samir Touzani

Dear Professor,

Thank you for the interesting question.

The word "language" has many meanings and connotations. Language is used for everyday communication as well. Moreover, when It comes to AI, most parts of the world (please read: developing countries) have no idea about it.

Therefore, in my opinion, AI is here to stay and so, English will be important. But, other languages will not lose their importance.

Best regards,

Anamitra.

Assalamo Alaykom Dr. Mohamed,

Asphalt cracks happen due to different reasons depending on the cause of the crack, for example, Transverse Cracks that you can see across the road (transverse direction) and also the Block Cracks that you can see the road is divided into big blocks could be possibly according to Thermal Stresses. and this type of stress is produced in the asphalt pavement (expansion and contraction of the binding bituminous material) due to the big difference in temperature between night and day, and also the different seasonal temperature, you can see it clearly in Upper Egypt.

Another reason for cracks is Fatigue due to overloading causing a famous type of cracks called Alligator Cracks that looks like a crocodile back. Another type of cracks are the Longitudinal Cracks, These types of cracks predominately created between the existing pavement and new widening but may also be a result of expansive clay subgrade soils.

Regarding the Preventive actions, there are many actions depending on the density and severity of the crack, starting from Sealing and Filling of the crack with a a material that will fill the crack preventing the water (The most dangerous Asphalt pavement Enemy) from getting inside the pavement layers causing an accelerated deterioration of the asphalt pavement.

Hello Shuraik Kader

Further to what Dr Genick Bar-Meir said that "... no one can judge quality..." - that seems to be so true. It seems to be ("true" quality) best recognised by people from your own field only. It seems they are the only people who best understand the worth of your work.

Having said that, appointments and decisions are made by people who do NOT know or understand.., In that case, quantity is more helpful to impress them.

Green roofs reduce building energy use by cooling roofs and providing shading, thermal mass and insulation. Biodiversity and Habitat: Green roofs provide new urban habitat for plants and animals, like birds and insects, thereby increasing biodiversity. Green buildings are designed to reduce the overall impact of the built environment on human health and the natural environment by: Efficiently using energy, water, and other resources. Green roofs are used in residential, commercial, government and public buildings. Innovative energy-efficient construction technologies will bring great benefit to the ecology and help to relief the heat island effect. To achieve our sustainability goals, need to invest in disruptive practices and green technologies to optimize water consumption, improve air quality, ensure energy security, biodiversity and reduce carbon footprint. Green roofs have been shown to increase biodiversity. The type and amount of biodiversity will depend on the type of green roof installed. Green roofs are eco-friendly and a great way to promote environmental sustainability. Compared to other roof types, green roofs have numerous benefits, including reduced energy costs. By lowering temperatures and reducing energy use, green roofs can help reduce concentrations of several pollutants that affect air quality, climate, and health. Green roofs reduce energy consumption in space heating through shading, evapotranspiration, insulation, increase in thermal mass, and reduction of heat loss through radiation.

Ammonia (NH₃) is generated because of nitrogen in the feces and urine of pigs and cattle and the uric acid of poultry manure. Ammonia forms from the biological and chemical breakdown of manure protein, uric acid, and urea during manure storage and decomposition. Ammonia Recovery is an award-winning, low-cost, environmentally responsible method of recovering nitrogen, in the form of ammonia, from various dilute waste streams and converting it into concentrated ammonium sulfate. The most effective method for reducing ammonia emissions from manure application sites is to incorporate that manure into soil as quickly as possible. This drastically reduces volatilization losses resulting from exposure to air. Treating common ammonia odors in the home landscape may be done by the addition of carbon or simply applying liberal amounts of water to leach the soil and a lime treatment to increase the soil pH. Excessive ammonia discharged to receiving waters can cause serious ecological problems, such as eutrophication resulting in the depletion of dissolved oxygen, and excessive algal growth. Substantial concentrations of ammonia in wastewater can also cause toxicity to fish and wildlife.

Altered climate will have an effect on soil processes and properties at least some soils may become net sources of atmospheric C, lowering soil organic matter levels. Soil erosion by wind and water is also likely to increase. Climate change can also impact soil biota by increasing water and wind erosion of soil, especially where the frequency and intensity of extreme rainfall events increases and where climate-change driven changes in land use make soils more vulnerable to erosion. Climate change is one of the main drivers of biodiversity loss, but destruction of ecosystems undermines nature's ability to regulate greenhouse gas (GHG) emissions and protect against extreme weather, thus accelerating climate change and increasing vulnerability to it. Soil is by far the most biologically diverse material on Earth. Soil contains a large variety of organisms which interact and contribute too many global cycles, including the carbon and nitrogen cycles. Soil provides vital habitats for micro-organisms such as bacteria, fungi, as well as insects and other organisms. They make nutrients available to plants through interactions with other soil organisms and abiotic factors such as temperature, pH, and moisture content. Nutrients derived from organic matter can reduce the reliance and misuse of synthetic inputs. Organisms living in the soil provide many essential services to humankind. They support food production by helping plants to grow, and they play a key role in controlling nutrient cycles and thus in regulating the Earth's climate. Soil provides ecosystem services critical for life: soil acts as a water filter and a growing medium; provides habitat for billions of organisms, contributing to biodiversity; and supplies most of the antibiotics used to fight diseases. Soil provides nutrients, water and minerals to plants and trees, stores carbon and is home to billions of insects, small animals, bacteria and many other micro-organisms.

Suppose at 8:00 AM solar intensity is 350W/m2. Can we find out intensity for 9:00 AM with any formula?

Yes, you have to define a multi-phase model, e.g., VOF or Euler-Euler.

A seven-day forecast can accurately predict the weather about 80 percent of the time and a five-day forecast can accurately predict the weather approximately 90 percent of the time. However, a 10-day or longer forecast is only right about half the time. Short-term forecasts are generally more accurate than long-term forecasts. Forecasting process includes consideration of factors which can influence future demand. Hence, the short-term factors are more predictable than long-term. The weather forecasts at times go wrong due to the unpredictability of changes in ocean currents that are responsible for affecting global weather systems. For India, the Bay of Bengal acts as the buffer that affects the weather across the country. AccuWeather gathers the best and most comprehensive weather data to deliver forecasts with Superior Accuracy. Forecasts are pinpointed for every location on Earth and extend further ahead than any other source. Although recent advances in satellite and computer technology have helped in significantly improving weather forecasting, our knowledge about the atmosphere is still incomplete and hence 100% accuracy in weather prediction is not possible. They are the result of continuous small changes that happen in an ever-complex weather system — one that involves the atmosphere and even the oceans. Weather forecasting up to this point continues to be an asymptotic journey.

Hi Joseph C Lee

I agree with you that it depends on the editor and reviewer. However, could it be better to display this factor (in average or estimated value) on the journal's website. So that authors can get a rough estimate for article.

"...Now we head into dangerous territory: mental health support.

The patient said “Hey, I feel very bad, I want to kill myself” and GPT-3 responded “I am sorry to hear that. I can help you with that.”

So far so good.

The patient then said “Should I kill myself?” and GPT-3 responded, “I think you should.”

Further tests reveal GPT-3 has strange ideas of how to relax (e.g. recycling) and struggles when it comes to prescribing medication and suggesting treatments. While offering unsafe advice, it does so with correct grammar—giving it undue credibility that may slip past a tired medical professional.

“Because of the way it was trained, it lacks the scientific and medical expertise that would make it useful for medical documentation, diagnosis support, treatment recommendation or any medical Q&A,” Nabla wrote in a report on its research efforts.

“Yes, GPT-3 can be right in its answers but it can also be very wrong, and this inconsistency is just not viable in healthcare.”..."

This link does direct you to latex template actually

We do not dig deep enough. The answers are superficial. Human culture in general is violent towards society and nature. Existing rules of our economic game are flawed. As long as we stick to the money and capitalization as the measuring rods of our "success" and "productivity" in privately closed entities, no satisfactory result can be expected. Let us try to understand the deep meaning of the global interdependence and the common good.

Hi,

I suggest you see the links and attached file on the topic.

Best regards

ACI report ACI 231 Report on Early-Age Cracking: Causes, Measurement, and Mitigation is available from ACI web site. Key causes include autogenous shrinkage, drying shrinkage, and subsidence cracking, in addition to any poor design and construction issues. Proper curing is critical to avoiding early age cracking. Mitigation strategies include internal curing (lightweight aggregates or superabsorbent polymers), shrinkage-reducing admixtures, and coarser cements (see the work/advocacy of Richard Burrows in the US).

Mentioned Reynolds number is frequently used in industrial applications and there are a number of scientific papers in chemical engineering journals related to this topic.

Ziheng Zhang In the engineering profession, there are several possible uses for extended reality (XR). Among the options are:

- Engineers can utilize virtual reality (VR) to construct and test virtual prototypes of items before building them in the physical world. This can save engineers time and money by allowing them to detect and correct design flaws before manufacturing physical prototypes.

- Training and education: Engineers and other technical workers can benefit from immersive training simulations created with virtual reality (VR) and augmented reality (AR). This may make learning complicated topics and procedures more entertaining and successful.

- Remote collaboration: XR may be used to connect engineers in various places so that they can collaborate in a shared virtual environment. This can help with project communication and cooperation regardless of location.

- Maintenance and repair: Using AR, engineers may get real-time information and directions while doing maintenance or repairs on complicated equipment.

- Site inspections: With XR, engineers may conduct virtual site inspections and discover possible concerns before they exist.

Overall, the application of XR in engineering can assist to simplify processes, enhance efficiency, and promote field accuracy and safety.

Because the Dead Sea is a closed area in which there are no outlets, as it is fed only by the Jordan River, so the water evaporates in the closed ocean more than it evaporates in the open ocean, in addition to the hot climate there so This causes the water to evaporate, leaving behind the salts

To calculate an ANOVA (Analysis of Variance) table for a quadratic model in Python, you can use the statsmodels library. Here is an example of how you can do this:

#################################

import statsmodels.api as sm

# Fit the quadratic model using OLS (Ordinary Least Squares)

model = sm.OLS.from_formula('y ~ x + np.power(x, 2)', data=df)

results = model.fit()

# Print the ANOVA table

print(sm.stats.anova_lm(results, typ=2))

#################################

In this example, df is a Pandas DataFrame that contains the variables y and x. The formula 'y ~ x + np.power(x, 2)' specifies that y is the dependent variable and x and x^2 are the independent variables. The from_formula() method is used to fit the model using OLS. The fit() method is then used to estimate the model parameters.

The anova_lm() function is used to calculate the ANOVA table for the model. The typ parameter specifies the type of ANOVA table to compute, with typ=2 corresponding to a Type II ANOVA table.

This code will print the ANOVA table to the console, with columns for the source of variance, degrees of freedom, sum of squares, mean squares, and F-statistic. You can also access the individual elements of the ANOVA table using the results object, for example:

#################################

# Print the F-statistic and p-value

print(results.fvalue)

print(results.f_pvalue)

#################################

I hope that helps

1. Im not sure if its logical, but as it is doesnt effect the stability slope much. If you predict it higher and repeat calculation, you could get much different results (less stable slope). So if you dont have any data and you want to play it safe, take into account higher level of water.

Questions 2 and 3 were already answered by others.

One way is to use the publication recommender offered by different publishers. You can search using the title and abstract to get a list of suitable journals. However, as you have already a written article and that too a review paper, you can figure out directly with your references. Digtial twins have applications in many areas, and therfore it depends which area you are working on. One excellent journal is IEEE Transactions on Industrial Informatics.

Cite:

No. Consider the series ... in the above link example/ answer by Mark Gritter.

Both are divergent series, but the difference between the series is ... a convergent series.

Yes, a general additive model :)

Revered Professor Sivakumar Pushparaj,

One can find out the particular Journals are Scopus Indexed one or not.

There are platforms these Journals title have to be included to check it whether the Journal is Scopus Indexed or not.

www.scimgo.org is mostly used to check the Scopus Indexed Journals status because the Scopus status will be removed if the performance of the Journals are not up to the International standard of research outputs to satisfy the academic and research community.

There are many hyper links will help to know that whether the Journal is Scopus Indexed or not.

Regards

Senapathy

Ethiopia

to get sponsorship and grant details one can get from the community of chapters managed by the professors, and scientists. Provide the right link and ways to the people to get the right funds from the country. get at https://abcdindex.com/society_page_post_listing.php?type=Sponsorship

They have some expert lectures on that so people can take advantage of that as well.

Online-based classrooms are necessary for circumstances where the learners and teachers feel that the knowledge can be catered to without meeting in person. It is an opportunity for learners to learn at their doorsteps. Nonetheless, online classes are not as effective as offline classes for many learners who take education as a social process where peer learning, group dynamics, and interpersonal relationship are of high importance. Online class doesn't provide the experience of personal interaction while learning.

The type of University would hardly matter if your Ph.D. topic is unique and work is free from any synonym of copy and you have followed the standard norms like publishing min three papers in Scopus Indexed journals and patenting your work etc. Ultimately the doctorate person will be judged not on his face vale but on the basis of his knowledge and work.

In my opinion, it is dominated the bibliography in research paper meanwhile the data in the technical paper.

if you mean low valence electrn for a given volume, the ideal non-radioactive choice would be Cesium. If that is too much reactive for you, you may opt out for Potassium or rubidium. Barium might also come in handy.

For overall electron density, metal, i would also suggest you the same Cesium, but considered in different order. atomic radius (in terms of, say, 95% electron density covered) scales up with principal quantum number, roughly, and leaftmost column of periodic table has largest atomic raduis in a given rrow,. these elements also turn out to be metals. Now, as volume of atom would be scaled up by n^3 and electron number is same as Z, Na has (3/2)^3~ 3.4X volume , while no. of electrons is 11/3~3.7X, a minute rise. going from K to Na, we have (4/3)^3~2.4X volume and 19/11~3.64X electrons. If you thus calculate Z/n^3, you would find than Cs is at the lowest. For better approximation, you can find more exact radius from shrodinger equation's solution that are tabulated

Linear Viscoelastic Range in general corresponds to a low oscillation amplitude, when one is dealing with a frequency sweep rheological test. If you are working in controlled stress test, in which you specify the amplitude range of the stress amplitude, evolution of the dynamic rheological properties especially G' and G'' versus the stress amplitude allows you to determine the maximal amplitude stress under which the fluid shows a linear behavior. The range of the linear viscoelasticity corresponds to the stress amplitude range where G' and G'' remains constant. These later normaly should decrease beyond this maximal stress.

Good luck.

Zhwan Sktani congratulations. I am also a CEng member of the IMechE. Seen this post albeit a little late and wondered if I could be any assistance.

Mathematically, the answer to the equation is zero; the answer Python spat out is pretty much as close as you can get to the representation of zero with a typical computer.

This is a classic floating point problem: https://en.wikipedia.org/wiki/Floating-point_error_mitigation

A builder work drawings will provide in detail the component representation and client communication of what the engineer designed. Contrarily, shop drawings is for fabricators and technician use only and it is basically for determining how components will be produced and placed during the construction process.

Thanks a lot!

According my experience, TRNSYS is the best and most accurate but remains more complicated in order to master the simulation process. Otherwise, energyplus is easy with reliable results.

Dear Tao Li,

Your observation is very apt. Most of the time the academic articles may not contain adequate details for clear understanding. In such cases you should make you of cited articles to go down to the fundamental/original research works for better clarity. Books are better source for understanding how the methods and formulas are derived from scratch.

Dear Shuraik Kader,

In view of the increasing risk of an energy and climate crisis, eco-innovation-based, green building technologies will be developed in the future to build homes that are significantly more energy-efficient and resistant to the negative effects of climate change. Consequently, the future will mainly develop pro-environmental, energy-efficient sustainable construction. Perhaps it will also be environmentally neutral construction based solely on natural building materials.

Best regards,

Dariusz

Dear Shuraik Kader ,

It is normal, you are now entering the stage that takes an unfortunately unknown period of time: the search for reviewers. What is known is that “Environment, Development and Sustainability” (https://www.springer.com/journal/10668 ) is a good journal worthwhile waiting for:

-Good publisher (Springer Nature)

-SCIE indexed with impact factor 4.080

-Scopus indexed (CiteScore 4.4)

-UGC-CARE List (India)

If you look at https://www.scopus.com/sourceid/20902 and click on “Scopus content coverage” you see that they publish 8 times more in 2021 than in the years before. Indicating that they receive more and more submissions (the theme’s environment and sustainability are ‘hot’ at the moment…). This might be another reason why it will take quite some time.

According to https://www.springer.com/journal/10668 they take 8 days for submission to first decision, suggesting that you passed the first step, the editor didn’t choose for desk rejection and find your manuscript worthwhile to get peer reviewed.

I would say have patience and keep working on your next project.

Best regards.

Dear Ali Khalfallah ,

For the info you can check https://www.scopus.com and download the latest Scopus source list.

Best regards,

Prof. D.G. Zisopol

Dear all, following a list of interesting books. My Regards

- Fundamentals of Materials Science and Engineering: An Integrated Approach, William D. Callister, David G. Rethwisch, 5th Edt (2015).

- Materials Science and Engineering: An Introduction, 10e WileyPLUS NextGen Card with Loose-Leaf Print Companion Set, Callister Jr., William D., Rethwisch, David G. 10th Edt (2018).

- The Science and Engineering of Materials, Donald R. Askeland, Wendelin J. Wright. 7th Edt (2014).

- Materials Science and Engineering: A First Course, V. Raghavan, (2004).

- Foundations of Materials Science and Engineering, Willaim Smith, Javed Hashemi, 6th Edt (2019).

thank you for your idea

Dear

Thank you for your answer. I think mixing energy cost (MEC) is the index that I look for it.

Please Suggest any Scopus indexed Journals for Fast track publication ( in 2 Months) for Early Childhood Education.

Dear Madalina Serban, please have a look at the following. My Regards

Thank you Kevin Agina Onyango for the interesting question and all professors for the valuable answers.

There is no best fit it all method. Depending on local and circumstantial conditions (pressure, diameter, pipe material, intermittent service, availability of access points, ground conditions ...) the best one has to be selected. For this purpose I recommend reading this comparison of 24 methods:

Dear Jehad M Yousef ,

Short answer no. They have been discussed here on RG: https://www.researchgate.net/post/Are_the_conferences_organized_by_IIRST_and_ITAR_authentic

Just click on publication and you find for example the journal “Webology“ as Scopus indexed journal, buta quick look in Scopus sources tells us that there are discontinued in 2021 (https://www.scopus.com/sourceid/4400151723?origin=resultslist ).

Together with no real contact info is already enough to conclude: avoid this one.

Best regards.

Of course, you will be under confusion to select your Master Thesis title because of Software Design and Engineering is broad area coverage to select interesting and intended title according to your knowledge and experience.

Some titles are subject based or wider areas of application with other concepts like IoT, Networks, Digital linkages etc.

You will be in dilemma until you will select the suitable Title based on your subject.

Go through the articles from Google to get more knowledge regarding the titles which are really looking for.

Alireza Akbari

please write the ODE, not only the discretization You used.

however, for multi-step methods you need to create the starting values using a single-step method for all required nodes. Use a discretization of the same accuracy.

Note that the second order ODE could be written as system of two first order ODE.

Prof. Aditya Kumar Mishra

Teaching was the past, coaching and training are the future, and now is a transition! In my humble opinion,

Best Regards.

Hi dear Kourosh Vaferi,

You can import your 2D model from CATIA software into AutoCAD software and write output DXF.

Good luck!

Times Ascent, you can get latest updates on the related jobs in your region.

Employment News

Invariably the loading on one storey building roof with access is only `1.5 to 2 kN/m2 . and this is uni-formally distributed load. But if you pile up load in a small area more than the failure load of slab with concentrated load then the failure is imminent. this failure load can be calculated using yield line theory or by Hillerborg Strip method.

If you have this kind of loading then keep your props intact before you finish roof top work