Science topic

Textbooks - Science topic

Textbooks are books intended for use in the study of specific subjects, containing systematic presentation of the principles and essential knowledge of the subjects.
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Hello,
Do you guys have any recommendations for Psychology textbooks that i could use for some of my classes intended to 1st year students in Psychology.
The classes are :
- Introduction to cognitive psychology.
- Introduction to developmental psychology.
- Differential Psychology.
- Research methods.
- Statistics.
Thank you for your help,
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1.“Statistics for the Behavioral Sciences” by Frederick J. Gravetter & Larry B. Wallnau
2. "Social Psychology" by David G. Myers
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Someone recommended textbooks on dermatopathology, such as McKee or Weddon, but I can't download them for free.
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Dear Zenab Helal,
you can check using google images for histopathologic examples, they are many. At the medical school, dermatology or surgery atlas are avaliabe. Here is an example:
Semin Plast Surg. 2021 Jul 15;35(3):153–158.
doi: 10.1055/s-0041-1731460
Updates in Diabetic Wound Healing, Inflammation, and Scarring. Nina Dasari 1, Austin Jiang 1, Anna Skochdopole 1, Jayer Chung 2, Edward M Reece 1,3, Joshua Vorstenbosch 4, Sebastian Winocour 1,✉
PMCID: PMC8432997  PMID: 34526862
Best wishes
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Dear colleagues, which do you think are the best books on teaching Automatic Control Systems as an undergraduate course? I believe it depends on the Department you are teaching of course. My views are in the video below. Please add more suggestions. The inclusion of MATLAB material in the syllabus is also important. https://www.youtube.com/watch?v=zmvuRZCx_XA
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Here is my discussion about the famous book by Nise, Control systems engineering, https://www.youtube.com/watch?v=oNsOzHzf_J8
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Dear colleagues, over the years I have read many books on learning Latex. Some short, others too long. Which do you think are the best ones for someone wanting to pick up Latex? My views are in the video. Feel free to suggest any others. https://www.youtube.com/watch?v=F-OEF3DhuRo
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I am afraid to recommend the books or videos because I am not sure how much knowledge you have about LaTeX.
Usually, the following is the official guidebook.
I assumed that you have already installed the latex program and editing program (like 'texmaker').
In my view, the beginners are learning by
1) find a typical latex example file for a paper or book in your field (there are many)
2) change the author's name and the contents
3) If necessary, look at the above guidebook.
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Incorporating religious stories in English Language Teaching (ELT) textbooks would help in fostering a deeper connection with Allah and His teachings as they enhance virtual values. Additionally, these stories might play a significant role in enhancing learners' spiritual awareness. Do you agree?
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Integrating religious stories in teaching English as a foreign language can be highly effective. These stories offer rich cultural content that helps students understand context, vocabulary, and grammar in meaningful ways. Religious narratives often include moral lessons, historical contexts, and diverse linguistic structures, which can enhance comprehension and stimulate discussions. Moreover, they provide opportunities for students to engage with language through storytelling, a technique that promotes retention and fluency. However, it's important to ensure that the stories are culturally sensitive and appropriate for the students’ backgrounds to avoid misunderstandings.
Best,
Zylfije Tahiri
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any research that should I read to get an idea for doing my research later?
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Intercultural education requires a rethinking of the entire education system. Any development in one component of the system must be accompanied by development in the rest of the components.
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I would need a detailed mathematical derivation of mimetic finite difference operators in cartesian as well as curviliniear, in particular spherical coordinates. I also need to know how the pole problem in spherical coordinates can be tackled when using mimetic operators. Does anybody have a hint for me?
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Thank you very much. Yesterday I found some articles by the same authors but with very little explanations, but in this article they do explain at least something. I will check this out.
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In an ELISA, what are Type 1, Type 2 and Type 3 antibodies being used as detection antibody? Does it refer to where the detection antibody binds to the drug? Not able to find any answers for this on google or textbooks.
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Hi, In my opinion, Type 1, 2, and 3 antibodies form a system where each one has a role in binding and amplifying the signal from the antigen you are detecting, so the result is clear and measurable.
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Hi,
I would like to test a time series variable for unit root. I have one model with 4 impulse dummies, one model with impulse and step dummies, and one last model with only step dummies (I have estimated the dummies with Autometrics in PcGive). In addition to the dummies I have several lags of the variable of the endog. variable.
1. Does the model with only step dummies imply structural breaks? (I´m a bit confused what the difference is between step and impulse dummies). If not - can I use the ADF-test to test for unit root when including only impulse dummies? If I use the optimal lags when including impulse dummies, my variable is I(0) with the ADF test.
2. I´m looking for a unit root test for multiple breaks. Does anyone know of a test for multiple breaks + a less technical explanation of the test?
3. Or does anyone know of a textbook which describes the GLS based test in a less technical way?
I have found one; the GLS based unit root test with multiple structural breaks by Carrion-i-Silvestre, J., Kim, D., & Perron, P. (2009).
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Yes, absolutely, steps imply that you have structural changes.
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Step by step procedure for the extraction of contaminants of forensic interest from tissues
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Be more specific in your question. There are many different contaminants and different tissue. Search with a specific question in the internet and you will probably get many more hits than you can imagine.
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Dear all,
I'm trying to compile a list of Foreign Language textbooks that tap into Cognitive Linguistics. I intend to carry out a content analysis of these published textbooks.
Can you suggest some (recent) titles?
Many thanks!
Eloy Romero Muñoz
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You may like to explore the Internet by doing a research in: (a) "foreign language teaching and Cognitive Linguistics"; (b) "teaching a foreign language (name it) through translation; and (c) "Cognition in foreign language teaching / bilingualism". If you search for (b), you should indicate L1 (the original language) and L2 (the foreign language).
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In light of scientific and technological progress, as well as the use of artificial intelligence, and the multiplicity of many sources of education, has the school book become a role in education? Should it be replaced or kept as a source of education?
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School books should be kept as source of education in both schools' and homes' libraries. in my perspective, "A home without a library with books is incomplete."
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Can you recommend a good textbook for students of public administration programme that focuses on how to support entrepreneurship from state or regional level?
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I have a recommendation for the title Technopreuneurship From the publisher Medsan Indonesia
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I need a textbook that I can use and recommend to postgraduate students in the Social Sciences fields.
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Hola de acuerdo a la buqueda relacionada con libros de texto contemporáneo sobre métodos de investigación en ciencias sociales que incorpore aspectos de inteligencia artificial (IA) para recomendar a estudiantes de posgrado. A continuación, le sugiero algunas opciones destacadas:
  1. Inteligencia Artificial: Investigación Científica Avanzada Centrada en Datos Autor: Roiman Valbuena. Este libro aborda la investigación científica avanzada bajo modelos de desarrollo de la IA, incluyendo minería de datos, ciencia de datos, reducción de dimensionalidades y una introducción a TensorFlow. Es una obra integral que combina teoría y práctica, adecuada para estudiantes de posgrado en ciencias sociales interesados en aplicar IA en sus investigaciones. ISBN 9801815299, 9789801815297. Enlace: https://books.google.com/books/about/Inteligencia_Artificial.html?id=SoMTEAAAQBAJ&utm_source=chatgpt.com
  2. La inteligencia artificial en las ciencias sociales y las humanidades Autor: Felipe Lara Rosano. Este libro explora cómo la IA está transformando las ciencias sociales y las humanidades, analizando su impacto en áreas como las relaciones interpersonales, el orden social y las interacciones entre la IA, el Estado y la democracia. Es una lectura recomendada para comprender la intersección entre IA y ciencias sociales. Enlace: https://www.academia.edu/573428/La_inteligencia_artificial_en_las_ciencias_sociales_y_las_humanidades
  3. Inteligencia Artificial Profunda y Ciencias Sociales Adversarias en el siglo XXI Autor: Carlos Reynoso. Este libro acompaña a un seminario de IA de última generación aplicada a las ciencias sociales, la historia del arte y los estudios territoriales. Puede leerse independientemente como una actualización en la tecnología de referencia, enfocándose en redes neuronales convolucionales y su aplicación en modelado complejo dentro de la antropología y las ciencias sociales. Enlace: https://www.academia.edu/101999102/Inteligencia_Artificial_Profunda_y_Ciencias_Sociales_Adversarias_en_el_siglo_XXI_Nuevos_modelos_de_Redes_Neuronales_Convolucionales_2023_
Estas obras ofrecen una visión contemporánea de cómo la IA se integra en los métodos de investigación en ciencias sociales, proporcionando tanto fundamentos teóricos como aplicaciones prácticas. Son recursos valiosos para estudiantes de posgrado que buscan incorporar herramientas de IA en sus investigaciones. Espero que te sirvan.
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Looking for updated textbook recommendations on Sustainable Development Goals for an interdisciplinary audience of upper level undergraduates mostly.
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I don't think that there are books on SDGs, but possibly many articles
What do you need to know?, perhaps I can help
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Dear colleagues! Could you recommend English-language university textbooks (manuals) on geopolitics which are the best in your opinion? Such textbooks must include historiography - the presentation of the main ideas of major thinkers beginning with Ratzel and Mahan.
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Thank you indeed, Professor Flores Rojas! A comprehensive list, I would say. :)
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What is the best International trade textbook for undergraduate Level students?
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One highly regarded book on international trade is "International Economics" by Paul Krugman and Maurice Obstfeld. It provides a comprehensive overview of international trade theory and policy, with clear explanations and real-world examples.
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Near linear algebra textbooks.
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I am using " Linear Algebra & Differential Equations by Stephen Goode (Author), Scott Annin (Author)"
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Cellular damage, NOT mutation, causes aging. Cellular error is difficult to define.
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Aging is a multifaceted process influenced by various biological factors, with significant research pointing to the role of telomeres. Here's an explanation of how telomeres contribute to aging and the discussion surrounding cellular damage:
Telomeres and Aging
1. Role of Telomeres:
  • Telomeres are repetitive nucleotide sequences at the ends of chromosomes that protect them from degradation and fusion with neighboring chromosomes. Each time a cell divides, telomeres shorten slightly, which is a natural part of the aging process.
  • When telomeres become critically short, they trigger cellular senescence or apoptosis (programmed cell death), which prevents cells from dividing further. This is a protective mechanism to avoid the propagation of damaged DNA.
2. Telomere Shortening and Cellular Aging:
  • Telomere shortening is a key indicator of cellular aging. As cells reach their replicative limit (the Hayflick limit), the accumulation of senescent cells contributes to tissue dysfunction and age-related diseases.
  • Factors that accelerate telomere shortening include oxidative stress, inflammation, and lifestyle factors such as poor diet, lack of exercise, and chronic stress.
Cellular Damage and Aging
1. Beyond Telomeres: Cellular Damage:
  • While telomere shortening is a significant factor, aging is also driven by accumulated cellular damage. This includes oxidative damage to DNA, proteins, and lipids, leading to impaired cellular function.
  • Cellular damage can result from environmental factors (e.g., UV radiation, pollutants), metabolic processes (e.g., production of reactive oxygen species), and lifestyle choices (e.g., smoking, excessive alcohol consumption).
2. Antifragility and Cellular Resilience:
  • The concept of antifragility suggests that exposure to mild stressors can enhance cellular resilience and repair mechanisms. For instance, intermittent fasting, exercise, and certain hormetic stressors may promote telomere maintenance and overall cellular health.
  • Strategies to protect telomeres and reduce cellular damage include maintaining a healthy lifestyle, consuming antioxidants, and potentially using telomerase activators (though this area requires more research).
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Importance of textbooks in education ! ?
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It definitely poses an interesting research proposal but I'd bet most of the difference would rely on a more frequent use of inquiry based teaching.
DOI: 10.1002/tea.20347
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KNApSAcK database list several herb ingredients as "herba".
I want to ensure whether it means "whole plant" or just "aerial part" of the plant.
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Hi,
"herba" means in the most cases the aerial parts: that means all aboveground parts that are harvested as medicine, often just before or during flowering. Examples include spilanthes (Spilanthis oleraceae herba) and St John’s wort (Hypericum perforatum; Hyperici herba).
There is also "herba tota" which means the entire plant, so the whole plant is used, roots and all (e.g. Taraxacum officinale herba tota).
For the exact definition you have to look into the European pharmacopoeia for example, there is it described for every herbal medicinal product. These are terms from pharmacopoeias.
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“History Is Written by the Victors”
This quote is often attributed to Winston Churchill !?
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I suggest that there needs be a distinction between history and history textbooks. For history books one simply has to investigate the author. History textbooks are however an expression of nationalism at the time when the book was written. Britain's colonial and empire history as portrayed in textbooks of the first half of the 20th Century are different from the way it is portrayed today. Similarly, French and German history textbooks 1871-1914 reflect the attitudes of logical victory or burning resentment at defeat. At the extreme end of the scale, totalitarian governments have a total control over history textbooks.
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I designed a siRNA whose target site is located downstream of PTC. Yet it still decreases both the wildtype and truncated protein levels. Please suggest any textbook or paper that will probably explain the mechanisms.
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general mechanism or siRNAs is to bind their target sequence and induce degradation. as long as the sequence is in both targets, especially the seed sequence, then both mRNAs will be targeted for degradation. you have to design the siRNA to a region where the seed sequence can be different. or create a plasmid with the PTC/WT version with mutations for such a purpose. there is plenty of literature out there on how to accomplish this.
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Hello.
I'm currently working on a control system for a doubly fed induction generator (DFIG) as part of my thesis project. Traditionally, fuzzy logic controllers (FLCs) use the error (e) and the derivative of error (\frac{de}{dt}) as inputs. However, in my implementation, I decided to use the integral of the error (\frac{1){s}) instead of the derivative after reading that it's possible in a certain textbook. Surprisingly, this approach has yielded very good results in my simulations. Despite the positive outcomes, my thesis supervisor mentioned that they had never encountered the integral of the error being used as an input in FLCs before. To ensure the robustness and academic validity of my approach, I need to back it up with some literature or resources that discuss this methodology.
Has anyone here used the integral of error in their fuzzy logic controllers, or come across any papers or textbooks that mention this practice? Any guidance, references, or suggestions would be immensely helpful.
Thanks in advance for your help!
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for each system to keep nit stable and avoid disability of execution we have to take output signal and make it as negative feedback then divide the output to input should give 1 that is reflect the efficiency of the system so i cant confirm i can use error in fuzzy control which i can use by multiplexing or not gate.
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In celebration of the release of the 3rd edition of my book 'Effective Science Communication', IOP publishing is making the 2nd edition FREE via open access until the end of May!
All you need to do is follow this link and fill in a super short (7 questions; 1 minute) survey:
I hope some of you find this useful.
Sam
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Thank you David! 🙏
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What is the best textbook for IR spectra charts and interpretation?
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There are many good books around. But it is also an easy way to cover your concepts through a video which i recently watched. Please have a look before reading any book on raman spectroscopy.
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Panel Error Correction Model (PECM) not the model Panel Vector Error Correction Model
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There are several textbooks and academic papers that discuss the Error Correction Model (ECM) using panel data. One notable reference is "Econometric Analysis of Cross Section and Panel Data" by Jeffrey M. Wooldridge, which provides a comprehensive overview of panel data analysis techniques, including ECMs.
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Although the two terms are discussed separately in many textbooks, some other epidemiologists suggest that confounding is a type of bias.
It is worth considering their perspective and exploring the relationship between these concepts. By understanding how confounding and bias are related, we can improve our research methods and draw more accurate conclusions.
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Dear Sir Mohamed Hussein Adam This is indeed a fascinating question that has sparked debate among epidemiologists and researchers. Thank you for asking this question. Let's delve into it further.
Confounding and bias are related concepts in epidemiology, but they are not synonymous.
Confounding occurs when a third variable, called a confounder, is associated with both the exposure and the outcome of interest, biasing the observed association between the exposure and the outcome.
Bias, on the other hand, refers to systematic errors or deviations from the truth in the design, conduct, or analysis of a study that can lead to erroneous conclusions.
While confounding can potentially bias the results of a study, not all confounding leads to bias. If confounding is adequately controlled for through study design or statistical methods, it may not introduce bias. For example, if researchers adjust for the confounding variable in their analysis or use techniques like stratification or multivariable regression, they can mitigate the impact of confounding and obtain unbiased estimates of the exposure-outcome association.
Let's look at an example: Imagine a study shows that smoking and drinking coffee are linked to high blood pressure. But here's the catch: Both smoking and coffee drinking are also connected to how much money people make, which is a known risk factor for high blood pressure. So, money (or socioeconomic status) is like the middleman here, messing with the results. It's related to both smoking and coffee drinking, as well as high blood pressure. That's what we call a confounder.
If researchers fail to account for SES in their analysis, the observed association between smoking/coffee consumption and arterial hypertension may be confounded and biased. However, if they adjust for SES in their statistical analysis, they can control for confounding and obtain unbiased estimates of the true associations between smoking, coffee consumption, and arterial hypertension.
By recognizing the distinction between confounding and bias and implementing appropriate methods to address confounding in study design and analysis, researchers can enhance the validity and reliability of their findings. Here is my humble answers from my point of view, i'm open for further discussion. Hope it helps. I wish you success in all your endeavors.
Reference:
Rothman, K., Greenland, S., & Lash, TL. (2008). Modern Epidemiology, 3rd Edition. Lippincott Williams & Wilkins.
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What transformative techniques are there in biology?
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Thank you very much, António José Rodrigues Rebelo:))))))))
Could you share article about that )
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What are the characteristics of the selection?
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It differs according to political view due to the historic & political interests of each different country. Politics of history depend on each country's comments mainly !?
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Can anyone recommend Machine learning textbook or any material for analysis/data modeling?
Brief; I have rock drilling experimental data. I would like to use machine learning techniques for modeling of drilling energy. Request any materials/journals, textbooks related modeling please share with me.
With regards
Dr.Vijaya Kumar Chodavarapu.
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There are many excellent textbooks and resources available for learning about machine learning and data modeling. Here are some widely recommended options:
  1. "Pattern Recognition and Machine Learning" by Christopher M. Bishop: This book provides a comprehensive introduction to pattern recognition and machine learning concepts, with a focus on probabilistic models and Bayesian methods.
  2. "Introduction to Statistical Learning" by Gareth James, Daniela Witten, Trevor Hastie, and Robert Tibshirani: This introductory textbook covers fundamental concepts of statistical learning and machine learning, including supervised and unsupervised learning techniques, regression, classification, resampling methods, and more.
  3. "Elements of Statistical Learning" by Trevor Hastie, Robert Tibshirani, and Jerome Friedman: This book is a more in-depth treatment of statistical learning theory and methods, covering topics such as linear methods, tree-based methods, support vector machines, and unsupervised learning.
  4. "Machine Learning: A Probabilistic Perspective" by Kevin P. Murphy: This textbook provides a probabilistic framework for understanding machine learning algorithms and techniques, covering topics such as Bayesian networks, graphical models, and probabilistic graphical models.
  5. "Deep Learning" by Ian Goodfellow, Yoshua Bengio, and Aaron Courville: For those interested in deep learning, this book offers a comprehensive overview of deep learning theory and applications, covering topics such as neural networks, convolutional networks, recurrent networks, and more.
  6. "Hands-On Machine Learning with Scikit-Learn, Keras, and TensorFlow" by Aurélien Géron: This practical guide focuses on hands-on learning with popular machine learning libraries such as Scikit-Learn, Keras, and TensorFlow, covering topics such as classification, regression, clustering, neural networks, and deep learning.
  7. "Python for Data Analysis" by Wes McKinney: While not strictly a machine learning textbook, this book is essential for anyone working with data in Python. It covers data manipulation, visualization, and analysis techniques using the pandas library, making it a valuable resource for data modeling and machine learning projects.
These are just a few recommendations to get you started. Depending on your background, interests, and learning style, you may find other textbooks and resources that suit your needs better. Many of these books also offer supplementary materials such as lecture slides, code examples, and online tutorials to enhance your learning experience.
Please follow me if it's helpful. All the very best. Regards, Safiul
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What research methods are better to use in the gender analysis of school textbooks?
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Можна проаналізувати найхарактерніші гендерні ролі.
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Can anyone recommend Machine learning textbook for basic level?
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I recommend visiting the following website; I'm sure you will find many valuable books you need.
Best Wishes
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What is the best International trade textbook for undergraduate Level students?
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It is difficult to recommend any current international trade textbooks because they all contain an interpretation of David Ricardo's famous numerical example that has been recently debunked.
This misinterpretation of Ricardo was the starting point of all further developments in international trade theory during the last two hundred years.
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What are are some well-known textbooks on Life Cycle Assessment (LCA) of machining and manufacturing processes:??
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Hello dear colleague,
I have recently conducted some research on Life Cycle Assessment (LCA) in machining, and I found two books that I consider relevant to the subject:
  1. Carou et al., "An Introduction to the Use of Life Cycle Assessment in Machining" [Link: https://link.springer.com/chapter/10.1007/978-3-031-26277-7_5#citeas]
  2. Davis and Cornwell - "Introduction to Environmental Engineering"
Additionally, here are some articles that I found as references for my research:
  1. SHAH, Prassan; BHAT, Prathamesh; KHANNA, Navneet. Life cycle assessment of drilling Inconel 718 using cryogenic cutting fluids while considering sustainability parameters. Sustainable Energy Technologies and Assessments, v. 43, p. 100950, 2021.
  2. PEÑA, Claudia et al. Using life cycle assessment to achieve a circular economy. The International Journal of Life Cycle Assessment, v. 26, p. 215-220, 2021.
  3. NORGATE, Terry E.; JAHANSHAHI, Sharf; RANKIN, William J. Assessing the environmental impact of metal production processes. Journal of Cleaner Production, v. 15, n. 8-9, p. 838-848, 2006.
  4. KRAUTZER, Florian et al. Assessing the environmental performance of machine tools–Case studies applying the ‘LCA to go’ web tool. Procedia Cirp, v. 29, p. 502-507, 2015.
  5. KHANNA, Navneet et al. Life cycle assessment of environmentally friendly initiatives for sustainable machining: A short review of current knowledge and a case study. Sustainable Materials and Technologies, v. 32, p. e00413, 2022.
  6. GUPTA, Munish Kumar et al. Machining characteristics based life cycle assessment in eco-benign turning of pure titanium alloy. Journal of Cleaner Production, v. 251, p. 119598, 2020.
  7. DANIYAN, Ilesanmi et al. Review of life cycle models for enhancing machine tools sustainability: lessons, trends and future directions. Heliyon, v. 7, n. 4, 2021.
I hope this information is helpful. Feel free to reach out if you have any further questions.
Best regards.
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My textbook is about social-science interviewing - and nothing to do with Archaeology.
(And I dont know what the overall population of items numbers are, in terms of which I've got more than 99%).
Perhaps there's 400 items overall in Qualitative Social research, and only 002 in Archaeology?
The professionalism of the ResearchGate statistics as researched and as presented is not completely convincing.
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Wow, congrats, on the high rating for your textbook in Qualitative Social Research: hoover, the score in Archaeology may be influenced by factors such as the specific content, target audience, or the evolving landscape of archaeological reteach. understanding the reasons behind the score in Archaeology could involve examining reviews, considering changes in the field, or seeking feedback form readers and experts in that domain.
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Two stronger arguments for black holes existence are
** detection of radiation from a acreation discs, indadescent ratiation emitting material, that matches theory
** radiation in 3021from a creation diska consistent with bh's of billion masses of suns absorbing material from quasar
Why then, has the term still being immersed in a veil of suspicion and held captive in the mad-science domain?
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Because continuum theories are often invalid near the sigularities they predict.
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I am teaching next semester a Master level course on " Financial Management of Nonprofit Organizations? I appreciate if you share with me a textbook that is either in Arabic or English to be used as a textbook for this class.
Thanks
Yours
Moh'd Awad, Ph.D.
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ISBN: 9780471481324, 0471481327 And ISBN: 9781119382560, 1119382564 Both are best for Case studies and Practical Guidence.
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All thermodynamics textbooks say that the Clausius formulation and the Kelvin formulation are equivalent to the entropic formulation - and this is proven. Meanwhile, there is only one proof scheme, which turns out to be wrong. The matter is serious, so at this stage there is no point in going further with the description.
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1. I apologize for not answering previously, Prof. Grzegorz M. Koczan
I was involved in some serious health problems and still stay most time in a hospital, but before the end of January I will be back to my library as soon as my physician gives me the green light, and I will try to check the three versions of the book. I always used the first undergraduate one (green from the outside)
2. Prof Feynman does not mention too much in his general textbook, first volume, but he has a book on statistical mechanics:
Statistical Mechanics, A Set Of Lectures By Richard P. Feynman 1st Edition, 1998, Imprint CRC Press
3. And finally, Prof. Kubo has a classical book:
Thermodynamics, an advanced course with problems and solutions, 1968, Publisher North-Holland
Best Regards.
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Hi
I am interested in multi-agent systems, and I want to start reading and reserach on multi-agent systems. I need textbooks to lerarn the basics. Also, any papers about recent advenaces specifically realated to networks.
Thank you
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Here is a recent paper that resolves the problem of producing globally-stable, evenly-spaced lemniscate (or, figure-eight) trajectories while relying on local interactions only. This one of many open problems in the domain of multi-agent systems:
P. T. Jardine and S. N. Givigi, "Flocks, Mobs, and Figure Eights: Swarming as a Lemniscatic Arch," in IEEE Transactions on Network Science and Engineering, vol. 10, no. 2, pp. 675-686, 1 March-April 2023
A bunch of the popular multi-agent coordination techniques are implemented in Python here:
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"In a rectangular coordinate system with the vertex of the conical surface as the origin, the conical surface can be represented by homogeneous equations of x, y, and z"
This is a conclusion we learnt from our textbook on Analytic Geometry,but we have no idea why it is right,why it can be treated as a theorem,whether this theory only holds in rectangular coordinate system...My geometry teacher said that he can't find any proof of this "theorem" in any literature,and the writer of the textbook didn't provide proof as well.
So if anyone understands it and knows why,please answer my question and provide me with a rigorous proof:)Thank you sooooooooooooo much!!!!!!!!
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I‘ll try to understand what you are saying, because it literally involves something beyond what I have learned. (Sorry for my lack of academic knowledge. T^T) And there is one more little question:
I discussed your initial answer with my teacher, he thought maybe you initially mistakenly placed the question in the context of non-Euclidean geometry (but as a matter of fact we are talking about Euclidean geometry). So I want to ask you whether my teacher's idea about your first answer is right? Because after all this theorem is obviously true in non-Euclidean geometry:D
Finally thank you again for your continuously serious answers!
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What is the best Managerial Economics textbook for undergraduate Level students?
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The Economics of Money, Banking, and Financial Markets. By Frederic Mishkin.
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Why Molecular biology the the cell and a very rputable book in biology. It does not contain any intext citation and only has a list of suggested reading. Anuone knows whY?
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Nusrat Malik Nusrat, for people beginning to learn the concepts all the intext citation interrupts the flow of the words and greatly lessens comprehension. its akin to looking at a cell phone while reading. You have to decide if want to teach the formalities of academic publications and if they're more important than comprehending a new idea.
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I have a question about the relationship between the cross-sectional area of ​​an electrical transformer and the maximum power it can deliver. Empirically, the area is calculated by the square root of the transformer power, but I have not seen the basis for this equation in textbooks or literature. If anyone has references where this topic is discussed, I would appreciate it if you would inform me.
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The formula for calculating the cross-sectional area (A) of the core of a transformer, which is typically made of laminated iron or other core materials, is based on the following factors:
A = (B * l) / (μ * N)
Where:
- A is the cross-sectional area of the core in square meters (m²).
- B is the magnetic flux density in teslas (T).
- l is the mean length of the magnetic path in meters (m).
- μ is the permeability of the core material in henrys per meter (H/m).
- N is the number of turns of wire in the primary winding.
This formula takes into account the magnetic properties of the core material (permeability), the magnetic flux density required for the transformer's operation, the length of the magnetic path within the core, and the number of turns in the primary winding. The specific design of a transformer core requires more detailed calculations and may involve iterative design processes.
It's important to note that transformer design can be complex, and this formula represents a simplified version of the calculations involved in determining the core's cross-sectional area. Actual transformer design may require more detailed modeling and analysis.
however, The cross-sectional area of an electrical transformer is primarily determined by factors such as the core material, the magnetic flux density, and the frequency of operation. The relationship between the cross-sectional area and the maximum power it can deliver is not typically based on a simple square root equation.
To calculate the cross-sectional area of a transformer core, you need to consider the following factors:
1. Magnetic Flux Density (B): The core material's saturation point and the desired magnetic flux density play a significant role in determining the cross-sectional area. You must ensure that the core material doesn't saturate under the maximum load conditions.
2. Frequency (f): The frequency of operation affects the core's efficiency and, consequently, the cross-sectional area. Higher frequencies may require larger cores to avoid excessive losses.
3. Voltage and Current: The transformer's voltage and current ratings are crucial in determining the cross-sectional area of the windings. These ratings affect the conductor size and insulation requirements.
4. Losses: Losses, both core losses (hysteresis and eddy current losses) and copper losses (due to resistance in windings), should be considered when designing the transformer.
There is no direct square root relationship between the cross-sectional area and power delivery. Transformer design is a complex process that involves optimization based on these factors, often using specialized software and iterative calculations. It's not typically expressed as a simple formula you'd find in textbooks.
If you want to delve deeper into transformer design and calculation, you may need to consult engineering textbooks, specialized transformer design resources, or consult experts in the field. It's not a straightforward topic, and the design process often involves trade-offs and considerations beyond a simple equation.
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Given that secondary data are collected through annual reports, textbooks and other publications which are all past events. What is the need for "research questions" in a secondary data research paper?
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Research questions play a pivotal role in the context of secondary data research papers for various crucial reasons:
  1. Establishing Purpose and Focus: Research inquiries serve as a cornerstone for delineating the aim and boundaries of your study. They provide lucidity regarding what facets of the secondary data you aim to scrutinize or delve into, thus imparting a distinct trajectory to your research.
  2. Steering Data Analysis: Research questions act as a compass guiding the process of data analysis. They dictate which particular facets of the data warrant examination, preventing data overload and ensuring that your analysis aligns with your research objectives.
  3. Facilitating Hypothesis Formulation: In certain scenarios, research questions culminate in the creation of testable hypotheses employing the secondary data. These hypotheses furnish an organized framework for evaluating your research questions and extracting meaningful insights.
  4. Determining Outcome Measurement: Research questions aid in identifying the outcomes or variables necessitating measurement and scrutiny. This is indispensable for comprehending the interrelationships, trends, or patterns within the secondary data.
  5. Providing Context: Research questions bestow context upon your study by elucidating the significance of a particular topic or facet of the secondary data and its contribution to the prevailing body of knowledge.
  6. Connecting with Existing Literature: Research questions frequently originate from gaps or unresolved aspects within the extant literature. They aid in situating your study within the broader context of prior research, thereby showcasing the importance of your work.
  7. Enhancing Communication: Articulated research questions serve as a conduit for reader comprehension, making it simpler for them to grasp the purpose and objectives of your research. They establish a framework that allows readers to anticipate the study's intended achievements.
  8. Guiding Research Design: Research questions exert a profound influence on your research design and methodology. They determine the most suitable data collection methods, sample selection criteria, and analytical approaches to effectively address the questions posed.
  9. Aiding Publication and Peer Review: When submitting your research paper for publication or peer review, well-crafted research questions underscore the rigor and clarity of your study. This, in turn, enhances the prospects of your research being accepted for dissemination within the academic community.
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I am not talking about colleges providing old text books to students, I am talking about changes in the syllabus with research updates in revised editions. For e.g If a student has to do a practical on finding some environmental parameter, he refers APHA manual of 1996 but later finds that the method has become obsolute and new methods can only be found in research papers, in such cases who is to blamed for wrong results student or AICTE for not updating the content.
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What is the best Managerial Economics textbook for undergraduate Level students?
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Managerial economics by William Samuelson, 1995
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What is the best Quantitative Research Methods textbook for Social Sciences Phd and MS Level students?
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The choice of the "best" quantitative research methods textbook can be subjective and may depend on the specific focus of your research, your familiarity with quantitative methods (surveys), and your instructor's preferences. However, there are several widely recognized textbooks in the field of quantitative research methods for social sciences at both the Ph.D. and M.S. levels. You can use below references (books):
  1. "Applied Multivariate Statistical Analysis"
  2. "Discovering Statistics Using IBM SPSS Statistics".
  3. "Multivariate Data Analysis.
  4. "Statistics for Social Sciences.
  5. "Multilevel and Longitudinal Modeling Using Stata.
  6. "Structural Equation Modeling: A Second Course.
  7. "Regression Analysis for the Social Sciences.
  8. "Experimental and Quasi-Experimental Designs for Research.
I also prefer Discovering Statistics Using IBM SPSS Statistics by Andy Field for MS level (for beginers).
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What is the best Basic Econometrics textbook for undergraduate Level students?
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Gujarat as well as Wooldridge
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What is the best Energy Economic textbook for Undergraduate Level students?
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Check
"Energy Economics" by Peter M. Schwarz
"Energy Economics: Theory and Applications" by Peter Zweifel and Aaron Praktiknjo
"Energy Economics: Concepts, Issues, Markets and Governance" by Subhes C. Bhattacharyya
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I am working with a nitrogen sensitive species trying to induce somatic embryogenesis. The textbooks I've gone through so far insist that casein hydrolysate - or another reduced nitrogen source - is crucial to initiating embryogenic callus. but many of the protocols I've read don't include CHL or any other nitrogen sources. So what's the truth here? Is this reagent crucial or not? I've ordered the casein hydrolysate just in case, but am trying to figure out if I'll even need it.
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Regarding the omission of nitrogen sources I think it may be ammonium ions which is initially omitted in many research during the microcalli development and casein hydrolysate on the other hand is mixture of amino acid. But organogenesis is dependent on many factors like carbon source or hormones or additives so you have to standardize it. You can order MS without Ammonium salt it is available in duchefa.
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What is the best Environmental Economic textbook for Undergraduate Level students?
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Dear Dr. Sayed Irshad Hussain,
The listed below sources should be really helpful:
There are several excellent environmental economics textbooks that are suitable for undergraduate-level students. Here are a few widely recommended options:
  1. "Environmental and Natural Resource Economics" by Tom Tietenberg and Lynne Lewis: This textbook is widely used in undergraduate courses and provides a comprehensive introduction to environmental economics. It covers topics such as market failure, externalities, public goods, cost-benefit analysis, and policy instruments. It's known for its clear explanations and real-world examples.
  2. "Environmental Economics: An Introduction" by Barry C. Field and Martha K. Field: This textbook offers a student-friendly introduction to environmental economics concepts and principles. It covers topics like pollution control, natural resource management, and sustainable development. It's known for its practical approach and relevant case studies.
  3. "Environmental Economics" by Charles D. Kolstad: This book provides a balanced coverage of economic theory and its application to environmental issues. It covers topics such as valuation of environmental goods, pollution control policies, and the economics of climate change. It's suitable for students with a basic understanding of economics.
  4. "Environmental Economics: In Theory and Practice" by Nick Hanley, Jason F. Shogren, and Ben White: This textbook takes a practical approach to environmental economics and emphasizes the application of economic tools to real-world environmental problems. It covers topics like non-market valuation, cost-effectiveness analysis, and environmental policy design.
  5. "Environmental Economics and Management: Theory, Policy, and Applications" by Scott J. Callan and Janet M. Thomas: This textbook combines economic theory with policy analysis and real-world examples. It covers a wide range of topics including pollution control, natural resource management, and sustainability.
When selecting a textbook, consider the teaching style of your course, the level of mathematical rigor appropriate for your students, and the specific topics covered in your curriculum. It's also a good idea to check if there are any supplementary materials, such as online resources or instructor manuals, that can enhance the learning experience. Additionally, reading reviews or asking for recommendations from colleagues or professors in the field can help you make an informed decision based on your teaching goals and your students' needs.
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I was going to use Hergenhahn's: An Introduction the History of Psychology, but I am really unhappy with the book's treatment of the intelligence testing era of the late 1800s and early 1900s, which was responsible for all manner of social injustice. The term "retardation" is repeatedly used without any explanation of the historical context of the term and without fully appreciating the discrimination and oppression engendered by it (largely as a result of the intelligence testing craze in the West). I'm afraid of requiring my students to read this, especially because I work at an institution with a large population of students with disabilities.
Does anyone have a suggestion for a text that treats social stratification and its consequences on disenfranchised groups with more empathy and greater care?
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No offense to Brandon Thomas, but I would not use Hergenhahn. His book is too prone to errors. See attached article for a few examples and I could add others. Now, the attached is somewhat dated, but editions after he might have corrected some of the errors he had not done so. Also, I retired from teaching years ago, and the only textbook I have seen in recent years, which I do recommend, is Fancher and Rutherford's Pioneers in Psychology (5th Edition, 2017). Fancher (older male) is a long-established historian of psychology and Rutherford (younger female) is a rising star whose specialty is history and theory of psychology. I will close by saying I have many publications in HoP broadly defined to include behavioral neuroscience, and I taught gradate-level HoP for 18 years and at the undergraduate level, maybe, 5-7 times. All my publications, if anyone wants any, are listed at:
Email any requests or questions to rkthomas@uga.edu
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What basic, post graduate textbook on research methods (including qualitative and mixed methods equally) do you recommend? I am tasked with writing a research program for a new masters class for our psychology department. However, the powers that be wish this to be used as a general class and shared with the business folks. The current class is only business, and their textbook is clearly geared toward research within and for the benefit of businesses. I'm looking for alternatives which would work better for both business and psychology. Thoughts? TY!
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Textbooks depict the innate immune response as ending with the onset of the adaptive immune response. Recognizing that the "end" of the innate immune response is not well-defined in my question, what is your molecular hypothesis for the turning off of innate immune pathways during the handoff of responsibility to adaptive immunity?
Details: We know that each of the following molecular mechanisms is capable of inhibiting type I interferon signaling: 1) SOCS1/3 suppression of cytokine signaling, 2) ZBED2 competition for ISREs, 3) phosphatases such as SHP1 that can reverse JAK-mediated phosphorylations, and 4) other mechanisms more recently suggested, such as IL-10 and IL-6 or TGFb.
But what do you see as the likely chain of cause and effect that turns off innate immune signaling at the "appropriate" time?
Comments and questions are welcome.
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In general, both the innate and adaptive immune systems will stay on until the activating signal is removed. However, there is a lot of regulatory apparatus at play that makes things complicated.
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The decomposition voltage is less than the reversible voltage. The second law of thermodynamics is wrong again.See screenshot for details
This is the content from university textbooks, and scientists have been humiliated by the Second Law of Thermodynamics.
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Any tables are absolutely meaningless if they do not contain confidence intervals. Just as meaningless are any conclusions drawn from such tables.
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Please recommend relevant studies! We plan to research new textbooks developed in accordance with the concept of the New Ukrainian School.
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Hi Olga,
Issues of gender representation covers text and images so one good way is to consider this as absence/presence. What is marginalised, absent or absented (Bhaskar), what is magnified and what is narcotised or suppressed (Eco), and what space and frequency is given to each. So can be both qualitative and quantitative.
Also, consider the intersectionality of gender with race and class. If women/men appear, who are they? Also, if you are looking at gender in books in local and international languages then a comparison might help.
Have a look at these below:
Best wishes,
Dima
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I am working on medical waste treatment problems&solutions, and I need preferably a technical overview of the various equipment used in healthcare waste management (combustion, autoclaving, shredding).
Can anyone suggest a textbook or article where I can find that?
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The pandemic added extra medical waste to the global healthcare systems, with 1.56 billion face masks ending up in oceans in 2020 alone. Here are ideas to fix the system...
Adopting a circular economy – keeping materials and products in circulation for as long as possible, can help reduce waste and lower environmental impacts including climate change. Supply chains play a big role in ensuring that product design, procurement of raw materials, and the manufacturing, distribution, and reverse logistics processes become less resource intensive, and have the ability to re-capture waste to manufacture new materials and products. From procurement and inventory planning to storage and waste management, healthcare leaders have recognized that their supply chain operations were substantially affected by COVID-19. A recent McKinsey survey3 of US health systems executives highlighted that 75% of survey respondents say that moving forward, supply chain needs to assume a more strategic role within the healthcare system...
Here are four areas healthcare leaders should take into consideration when it comes to managing waste in a sustainable way:
  • Taking a data-first approach
  • Collaborating with suppliers, ensuring sustainable procurement and manufacturing innovation
  • Maintaining real-time inventory visibility
  • Proper classification of materials, segregation and reverse logistics...
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For example, in learning Newtonian mechanics:
* generality and power. Its been applied to stars, moons, planets, dark matter, elections, photons, clusters of galaxies, solid, liquids, skyscrapers, bridges, cars, aeroplanes, satelites, rockets
* applied Successfully to systems of one or many bodies, 10^20 particles, fields
* has described an enormous number of forces or interactions among variables that describe the system
* applied to computer science in cellular automata and led to quantum mechanics via modifications
If each sub unit had such a style of first few chapters, instead at the end as miscellaneous reading, how much more interested would students be to understand its principles?
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The incorporation of a "why" section in physics textbooks could have a profound impact on student engagement and success. By dedicating the first 30% of the content to explaining the significance and relevance of the subject matter, students can gain a better appreciation for its importance and may be motivated to delve deeper into the principles and concepts.
This approach can result in several benefits. Firstly, it can increase motivation by highlighting the real-world applications of physics and the impact it has on our lives and the world around us. This can encourage students to understand the principles and concepts more deeply. Secondly, providing context and demonstrating the interconnectedness of various topics can enhance students' understanding of the subject matter. By seeing how these ideas fit together, they can grasp the concepts more easily. Thirdly, understanding the underlying reasons for learning a topic can lead to better retention of information, as it has a meaningful context. Fourthly, by finding the material interesting and relevant, students are more likely to engage with it actively, leading to a deeper understanding of the content. Finally, showcasing the power and generality of physics can help students develop a greater appreciation for the subject and its contributions to human knowledge and progress.
It is important to note that providing context should not come at the expense of rigor and depth in the subject matter. Teachers and textbook authors should strive to strike a balance between providing context and delving into the principles and problem-solving aspects of the subject. By doing so, they can create an environment where students are more engaged, motivated, and successful in their study of physics.
Regards,
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Adaptive teaching is a must to optimise every leaner's learning. How can schools and community (Teacher Trainers, Curriculum Development Committee, Textbook Publishers, Textbook Authors and other), contribute to adaptive teaching?
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Adaptive teaching is an approach to education that involves tailoring instructional methods and content to the specific needs and abilities of individual learners. This approach requires the involvement of various stakeholders, including students, teachers, parents, administrators, and policymakers.
Here are some examples of how different stakeholders are involved in adaptive teaching:
  1. Students: In an adaptive teaching environment, students are given greater agency and autonomy over their own learning. They are encouraged to set goals, track their progress, and provide feedback to their teachers. Students may also be asked to complete assessments and surveys to help identify their learning needs and preferences.
  2. Teachers: Teachers play a critical role in designing and implementing adaptive teaching strategies. They need to be knowledgeable about the various learning styles, cognitive abilities, and cultural backgrounds of their students in order to create a supportive and inclusive learning environment. Teachers may use a variety of teaching methods, such as differentiated instruction, flexible grouping, and personalized learning plans, to meet the needs of each student.
  3. Parents: Parents are important partners in adaptive teaching, as they can provide valuable insights into their child's learning style, interests, and strengths. They may also be involved in goal-setting and progress monitoring, and can work with teachers to ensure that their child's individual needs are being met.
  4. Administrators: School administrators play a critical role in providing the resources and support needed for adaptive teaching to be successful. This may include providing professional development opportunities for teachers, investing in technology and other learning resources, and creating policies that support personalized learning.
  5. Policymakers: Policymakers can help create an enabling environment for adaptive teaching by providing funding, setting standards, and promoting innovation in education. They may also work to address systemic barriers to personalized learning, such as inadequate teacher training or lack of access to technology.
Overall, adaptive teaching is a collaborative effort that involves a range of stakeholders working together to support the unique learning needs of each student. By taking a student-centered approach and tailoring instruction to individual needs, adaptive teaching can help promote academic success and personal growth for all learners.
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Which textbook do you recommend for an introductory biophysics course (aimed at 2nd year students from different disciplines: https://apps.ualberta.ca/catalogue/archive/course/bioph/201/1810)?
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2nd Edition
Quantitative Understanding of Biosystems An Introduction to Biophysics, Second Edition
ByThomas M. Nordlund, Peter M. Hoffmann Copyright Year 2019
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Most textbooks provide details about either steam or vacuum distillation. I am looking for a description of the apparatus for distilling with saturated steam at reduced pressure. Do you have any recommendations?
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Here some post "https://qr.ae/prU1HA"
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It has been stated that a discussion of global urbanism that situates the city at the core of the planet’s future will provide pathways for evidence-based interventions to ensure ambitious positive environmental changes. Using ideas and examples from the Wray and Miller textbooks, reflect on the role of equity, inclusion and justice in city planning.
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dear Dr.Manmehar Kaur;
Please refer to my research: Adaptation of Accessibility for People with Disabilities in Private and Public Buildings using Appropriate Design Checklist
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For my thesis proposal I crucially need to have some information about Japanese high school English textbooks. I would be so glad if you had time to answer these questions.
Thank you so much in advance
1. What is the name of an English textbook that is being used in the last year of senior high school in Japan and Iraq? Is that just a unique textbook or every state has a different one? Which one is more popular then?
2. How can I have access to those textbooks? Is there any website where I can download the PDF format of Japanese and Iraqi English textbooks?
3. Is there a possibility for ordering those textbooks and shipping them to Iran?
4. How can I have access to the upstream national documents of Japan and Iraq (mostly the educational ones)?
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I've heard about the book "English for Iraq" too. I thought this was the main book in senior high schools of Iraq. Do you know anything about that?
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What is the best Monetary Economics textbook for Mater Level students? I am teaching the Monetary Economics to Master level students. Please suggest the best textbook of the mentioned subject.
Regards
Dr. Syed Irshad Hussain
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Modeling Monetary Economies by Bruce Champ, Scott Freeman, Joseph H. Haslag may help you.
Best Regards,
Dr. Eisei Ohtaki
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Is there any group whose membership specializes in research on textbooks especially for mathematics?
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Of course there are at least several in every country otherwise how they will print new books satisfying demands of the buyers !
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Please recommend some methodological literature on quantitative method, survey, etc. please no textbook ! thank you!
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Here are a few examples of methodological literature on quantitative methods, surveys, and related topics:
  1. "Research Methodology: Methods and Techniques" by C.R. Kothari: This book provides a comprehensive introduction to research methodology and covers various aspects of quantitative research, including sampling, data collection, and data analysis.
  2. "The Survey Methodology" by Robert M. Groves, Floyd J. Fowler Jr., Mick P. Couper, James M. Lepkowski, Eleanor Singer, and Roger Tourangeau: This book provides an in-depth look at the survey methodology and covers various aspects of survey design, sampling, data collection, and data analysis.
  3. "Quantitative Research Methods for the Social Sciences" by Alan Bryman and Emrys Jones: This book provides a comprehensive introduction to quantitative research methods and covers various aspects of research design, data collection, and data analysis.
  4. "Experimental Design for the Life Sciences" by Graeme D. Ruxton and Nick Colegrave: This book provides an introduction to experimental design and covers various aspects of research design, data collection, and data analysis in the life sciences.
  5. "Statistics for Research" by George A. Milliken and Dallas E. Johnson: This book provides an introduction to statistical methods for research and covers various aspects of data analysis, including descriptive statistics, probability, and inferential statistics.
  6. "Applied Survey Data Analysis" by Steven G. Heeringa, Brady T. West, Patricia A. Berglund, and Patricia M. Berglund: This book provides an introduction to the statistical analysis of survey data and covers various aspects of survey design, sampling, data collection, and data analysis.
These books are considered as the classical references in the field of quantitative research methods, survey, and data analysis. They are widely used by researchers, practitioners, and students for learning about the various aspects of quantitative research methods and survey design.
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I've got to design a methanol/water rate based designed distillation column. As part of this I need to calculate the mass transfer coefficient of the system but I don't know how and can't find out how to in textbooks? Can anyone help? May thanks
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Please check the website may this will help you.
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Unlike journals that ensured ideas that are not author's own are duly cited and referenced, and also, author's ideas/observations could be backed up by citing other peoples work and referencing them in journals. Which is more like a validation of research findings, if it agrees with previous discoveries, in my opinion.
With these observations which one would you recommend for reading to accumulate scientific knowledge, Textbook/Journal?
Do you think a textbook is reliable enough to be recommended if you have not gone through all the pages and agree with all that is written in it, especially for young or upcoming researchers that may not know whether what is written is wrong or right?
Do you think that there should be a change in this precedence regarding textbooks in the nearest future? Thanks.
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I agree with your opinions about textbooks. They SHOULD reference where they got their information from or the students should realise that this is all opinion.
As I got older, I thought everything should be proven or evidence-based.
As I got more into teaching (as I got even older ha ha), I realised that undergraduates can only take in things like that (from books) and it is actually hard for them to have enough time to read all the things we want them to read because so many subjects, exams, etc.
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Is the loss coefficient (K), used in the determination of head losses, is independent of size of the piping and the material type?
I have looked in multiple textbooks and online resources but this answer is not clear.
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The answer is NO. K depends on Reynolds number (size, fluid and velocity) and surface roughness (material).
However, for most practical engineering calculations (eg pipe flow) taking K as a constant is adequate.
However, some manufacturers will give K values for different diameter values.
For air flow calculations in ducts, we usually consider these K variations with flow rate and diameter.
google " F34 Duct Design - UFPR"
and see the data given in last few pages.
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I started reading the textbook, Research and Evaluation in Education and Psychology this week. In Chapter 2: Evaluation; Mertens (2020) asserts that evaluation and research share similarities, however the differences between the two types of systematic inquiry are clearly distinguishable. (p. 86) After learning more about research and evaluation I have come to the conclusion that the two practices do not overlap as much as you may think they do.
Research and evaluation have different goals:
  • Research is a system used for knowing or understanding
  • Evaluation is a system used for discovering merit, worth, or quality
Research and evaluation have different processes:
  • Research is made up of 8 main steps; identify world view, establish focus, literature review, identify design, identify data sources, collection methods, analysis and future dirction
  • Evaluation is made up of 3 main steps; focusing the evaluation, planning the evaluation and implementing the evaluation
Research and evaluation use different terminology:
  • The jargon used in research is similar to terminology you might be familiar with from science courses and experiments; variables, control groups, sample, subject
  • The jargon used in evaluation is more similar to terms that you might be familiar with from business or management courses; merit, worth, monitoring, assessment, internal evaluators, stakeholders.
Taking into consideration stark differences between the goals, processes and terminology used in research vs. evaluation, I would argue that these two practices are not intertwined with one another. That is not to say that they can never be used together, rather that they can be used independently and with separate goals in mind.
I would love to hear some different perspectives on research vs. evaluation and how you may be applying them in your own work.
References:
Mertens, D. M. (2020). In Research and Evaluation in Education and Psychology: Integrating diversity with quantitative, qualitative, and mixed methods. 5th ed. SAGE
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I would treat evaluation as a specific kind of research, better known as "Evaluation Research." In particular, I think Evaluation Research is distinguished by its goals and its research questions, rather than anything about its methods.
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Hello.
I want to ask about the method of scale-up for upper flow fixed bed adsorption column.
I will use the scale-up parameters are column diameter, bed height and flow rate.
Is there any reference or textbook of mathematical method?
How to use those parameters for scale-up for upper flow fixed bed adsorption column?
Thank you.
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Andreas Bittner Thanks a lot for your good answer. It is really helpful to me.
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I work in a liberal art based university. I would like to propose a course about energy storage and conversion technologies. However, it is a challenge to find a textbook that could be used to teach this topic to non-science students.
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Dear Dr. Ehab El Sawy,
I suggest the textbook: “Energy: Production, Conversion, Storage, Conservation, and Coupling” by Yaşar Demirel - Springer. You may extract lots of topics for the non-science students. I hope you find it useful.
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I was saddened to receive a message today that Dr Jean Garnier, a dear friend, mentor, and scientific colleague, has passed way. He held the Order of Honors in Agronomy (Mérite Agricole), Officer, Order of Honors in Education (Palmes Académiques), Knight. He has also held a laureate position at the Ministry of Agriculture, USA, and the position of Research Director at the French National Institute for Agricultural Research. He was until quite recently the Editor in Chief of Biophysical Reviews, a journal sponsored by the International Union of Pure and Applied Biophysics of which he has been President. He was a widely respected expert in protein science and a founder of bioinformatics. He wrote many scientific papers, and he was a huge influence on my work and the work of many others. We coauthored a textbook on proteins and protein engineering that was widely used in universities. Under his guidance, our research and early papers together, particularly on the prediction of protein secondary structure and protein modeling, achieved many thousands of citations. The GOR method is still widely used today, and I saw that it played a significant role in the published research of many protein scientists responding to the rise of COVID-19. We kept in touch, and he will be very much missed.
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First of all, my sincere condolences, it is always sad to lose someone dear to you. It sounds like a good initiative to search for a way to honor someone’s scientific work/life. There are I believe, some good examples of ways to honor a great scientist/human being:
-Write a in memoriam like the one for Gerhard Woeginger: in memoriam Gerhard Woeginger
And/or dedicate a special issue on the work/field of the late scientist like:
Kind regards.
PS. I am/was familiar with the GOR method for predicting protein secondary structures from amino acid sequences but never realised that GOR was the abbreviation of Garnier–Osguthorpe–Robson
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What is the best Advanced Macroeconomics textbook for Mater Level students? I am teaching the Advanced Macroeconomics to Master level students. Please suggest the best textbook of the mentioned subject.
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Dr. Syed Irshad Hussain
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S.CHAND PUBLICATION FOR BOTH MACRO AND MICRO ECONOMICS
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What is the best Economic growth textbook for undergraduate Level students? I am teaching the Economic growth to undergraduate level students. Please suggest the best textbook of the mentioned subject.
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Dr. Sayed Irshad Hussain
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Micro Economics was authored by Ahuja is most suitable book for under graduate level and mostly focus on economic growth and development of the individual and the country.
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Textbooks about the managerial aspects of Digital Transformation and Industry 4.0 for academic teaching with exercises and case studies.
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Dear All,
Please access the link below for your reference on the 10 Must-Read Digital Transformation Books in 2022.
You can customize your options on this subject.
Good luck to your careers!
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What is the best Advanced Macroeconomics textbook for Mater Level students? I am teaching the Advanced Macroeconomics to Master level students. Please suggest the best textbook of the mentioned subject.
Regards
Dr. Syed Irshad Hussain
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COURSE DESCRIPTION
14.461 is an advanced course in macroeconomics that seeks to bring students to the research frontier. The course is divided into two sections. The first half is taught by Prof. Iván Werning and covers topics such as how to formulate and solve optimal problems. Students will study fiscal and monetary policy, among other issues. The second half, taught by Prof. George-Marios Angeletos, covers recent work on multiple equilibria, global games, and informational fictions.
(Citation from the source).
This might also be of interest to you, dear Sayed Irshad Hussain
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I will be proposing a new course in our MS biomedical sciences program, likely in the areas of toxicology and/or environmental health. If anyone has used graduate-level introductory textbooks in these fields, please let me know which textbooks you have used, and whether you would recommend them.
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I would encourage a good course in Environmental Health as a way to go, if you feel comfortable with the infectious disease aspects. The text 'Essentials of Environmental Health' by Robert Friis is a decent textbook for undergraduates, but using that as background and then assigning readings (research papers, reviews) could work well for a graduate course. A good review article is worthwhile to use in these classes.
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Hello everyone, I'm very new in protein KMC/MD and I would like to make the KMC/MD which is based on Breaking-Forming H-bond.
I would like to breaking H-bond from the amino acid residue which have low RMSF after MD production and calculate again for forming H-bond (and for potential energy).
I would like to know that how to create the RMSF cut-off or if someone have a good explaination textbook or paper about Protein KMC/MD procedure
Thank you for your time
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Test , Good luck
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What is the best textbook for instructors for helping their learners to build social impact/enterprise start-ups? ie including PPT slides and other learning resources?
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An edition of this dictionary in Spanish is planned through the University of Salamanca.
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I am looking at example 1, Chapter V, Sec. 19 of the Dover edition of Wasow’s “Asymptotic Expansions for Ordinary Differential Equations”. This is the latest edition of which I am aware. Although this example is an excellent one for demonstrating shearing transformations and determining an appropriate change of variables, the alleged fundamental system to eqn. (19.30) is clearly erroneous. The following formula is likewise in error although consistent. Is this overlooked in all reviews and revisions? After all, a fundamental series is, by definition, an exact solution and not just a formal series. One may expect addition of lower-order terms in (19.30), but the author explicitly rules this out and claims to have achieved a terminating series. Can any experts shed some light on this oversight/neglect?
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Hi all, I've read from textbooks that a bad initial water head can cause the model to fail to converge. But I want to know the specific reason. can anyone answer me?
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This is a two much general question, so the answer might be not straightforward. The relevance of this statement relates to many factors such as the nature of the simulated process (Groundwater Flow, transport of solute/heat, etc.), the non-linearity of the governing equations, space discretization scheme (FDM or FEM).
Anyway, if we just consider the Groundwater Flow process, bad initial conditions will likely to make the non-linear iteration methods such as the modified Picard and Newton schemes to fail. This is a typical behavior of these itereative methods. There is a huge number of references in the literature discussing their applications in Groundwater Modelling.
In practice, initial conditions are reconstructed from available measurements and/or steady state simulations to avoid these difficulties.
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I am a master degree student wanting to learn deeper about perovskite solar cells. My knowledge about chemistry is rather half-baked. Please let me know the necessary textbooks I could learn in order to understand the chemistry of perovskite.
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Hello, Norma Dani Risdiandita Though I am in the same boat as you, in my understanding, I think knowledge of "Solid State Chemistry" will boost the understanding of perovskite solar cells. Especially, band theory, crystallography, and defect states.
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Many educational institutions replaced the textbook with electronic book. Is this a correct move, or still the printed textbook has readers?
what are the advantages and disadvantages of each?
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Congratulations on your publication - apologies for not replying sooner. Have you done more work on the area since your original question/forum?
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I am evaluating a new English textbook. I found out the answers of teachers who are teaching this textbook in the class are very different from the answers of english teaching scholars to the same questions. How we can solve this problem at the time of giving a report to the authors of textbook to revise it?
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Sería muy interesante hacer una categorización de las respuestas de los docentes y del texto, de esa manera tal vez pueda observarse que tan disímiles son y ambas partes trabajar en el acercamiento.
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In most of the textbooks on NMR, we come across the fact that under the 1.4 Tesla external magnetic field, the precession frequency of 1H (proton) is 60 MHz. Can anyone tell why it's always mentioned as 1.4 T instead of 1 T?
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Ganguly
1.4 Tesla is the maximum field strength achievable in a conventional configuration (natural magnet-at the time) which was known in the early stage of NMR development (before the manufacture of superconducting magnets).
Good luck
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Rectifier
RF
Electronics
Energy Harvesting
Rectenna
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When you are talking about a small signal Rf diode , you can find the theory behind in the Pozar book just keep in mind thats the second derivative of the current vs voltage characteristic which makes the small signal rectification effect.And Diode detector work from a few Hz to > 100 Ghz
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I would like to prepare a lecture on "Introduction to Statistics" and am looking for a suitable textbook on which to base the lecture. Any recommendations?
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Hi there, I would like to buy a textbook of PharmacoEpidemiology: which one would recommend and why ?
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Try this one
Brian L. Strom and 2 more
Textbook of Pharmacoepidemiology
3rd Edition
ISBN-13: 978-1119701071, ISBN-10: 1119701074
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I am new to meta analyses. Are there any introductory texts that will take me through the entire process by way of an example/s?
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I am doing research on why should indigenous knowledge represented in Science and technology focusing on South African educational system
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Formulate proper questions for your research. Make them specific to the main point you intend to investigate.
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Learning new techniques and being up to dated with what's happening in dental field became not limited to textbooks or university degree programs nowadays. There are new platforms, methods that became so popular among practitioners. what are these new methods and are they effective and can depend on?
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Keep reading, join lecture course, discuss problem with colleagues.
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Dear esteemed professors
Can anyone suggest latest cognitive psychology textbook?
Just now I received a task of teaching cognitive psychology postgraduate students.
So kindly suggest latest textbook or manuals or any resources.
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We are hunting around for the related information about the following conclusion:
  • The 1890s were a watershed in virology, when Russian microbiologist Dmitri Ivanovski (alternative spelling Dmitrii Iwanowski or Dmitry Iwanowski or Dimitri Ivanovski or Dmitri Iwanovsky or Dmitrij Ivanovskij)(Russian: Дми́трий Ио́сифович Ивано́вский)(1864–1920) isolated the tobacco mosaic virus in 1892 and reported it to the Imperial Academy of Sciences in St. Petersburg1.
Q1: What exactly is the correct spelling?
There are at least 10 different English spellings of his name. In Ref. 2, on p. 755, the editors spelled the Russian scientist’s name as Dimitri Ivanovski2. However, most authors spelled his name as Dmitri Ivanovski in their literature3, whereas many others spelled his name as Dmitri Iwanovsky in English textbooks and documents.
Q2: What is the most accurate description of his identity?
In the same vein, he was described as a scientist/microbiologist/botanist/virologist in different documents. Which one is the best?
Q3: We need the pertinent reference of 1892.
As the Editorial (Ref. 2) remarked, “some notable achievements in microbiology have gone unrewarded by the Nobel committee.” I think, the isolation of the tobacco mosaic virus in 1892 should be a notable achievement in virology. Embarrassingly, the authors barely care about the original reference or document when recounting the ‘trivial story’.
We need help to check the information about the original reference:
  • Von Dm. Iwanowsky. Über die Mosaikkrankheit der Tabakspflanze. Bulletin Scientifique Publié Par l'Académie Impériale des Sciences de Saint-Pétersbourg. 35: 67–70 (1892).
It would be appreciated if anyone could provide the original document.
References:
1. Iwanowsky, D. V. Über die Mosaikkrankheit der Tabakspflanze (Concerning the mosaic disease of the tobacco plant). Bull. l’Académie impériale des Sci. Saint-pétersbg. 35, 67–70 (1892).
2. Editorial. A Nobel endeavour. Nat. Rev. Microbiol. 8, 755–755 (2010).
3. Lechevalier, H. Dmitri Iosifovich Ivanovski (1864-1920). Bacteriol. Rev. 36, 135–145 (1972).
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As for the name, please check the standard transliteration schemes from Russian to English. Not two languages are likely to have all vowels and consonants same, and imprecise transliteration adds up to this problem. At present, when we standardize spelling of our names in both our native language and global language, we need not to conform to these "linguisitically correct" standards- it is we (or our parents) to decide. I do not know whether this Russian TMV separation ever written his name in English, So you are free to adopt any spelling provided you use self-consistent Transliteration scheme.
(for many languages, spelling and pronunciation does not always one-to-one correspond, so you need to make choice- whether keep the spelling intact or pronunciation intact, if conflict occurs. English have this connection lost, thanks to the "Great Vowel Shift")
See GOST, OST or ISO standards specifically, and mention the transliteration/ transcription scheme you are using. Take help from scholar of Russian linguistics, if required.
Let me clarify some specific things regarding this name
  1. Was the vowel between Д and м explicitly pronounced in time of this scientist, or is it pronounced at Present? (e.g. Medvedev, Russia's prime minister, has the same first name). (IMHO, it can be a short vowel). Does the letter "i" do justice for the short vowel,.i.e. a good approximation? it can be answered only by a linguist
  2. Similarly, the digraph ий possibly represents a long vowel. Does that long vowel (or its approximate version) exists in English? Does the similarly long vowel represented with a single i consistently, or double i (ii) seems to be awkward?what about a single 'y', which is classically treated as semi-vowel of English language. Again, this is to the linguist.
  3. Samely, the letter в can be pronounced 'v' (as in Vostok) or 'w' or in between. These two approximant consonants often merge or exist as allophone on a dialect continuum. The same case is for 'w' in Wohler of German, who made urea first by heating ammonium cyanate. even in Hindi, these two are almost allophones (perhaps not so coincidentally, all three are Indo-European Language- look at the proto-IE language to see the nature of approximant)
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Gender representation in numerous school textbooks across diverse societies has been studied and discussed since the 1970s. A substantial number of these studies stated that gender bias in textbooks (GBIT) is quite stubborn and practically a barrier in the way of gender inequality (Ullah & Haque, 2016). In particular, in textbooks of Social Studies, the construction of gender is solely stereotypical (Jabeen, Choudry, Omar, 2014). Hameed (2012) in his study on gendered based English textbooks found that in shaping up ideas of the children and for encouraging optimist gender roles in children, textbooks play a decisive role and can be a valuable tool. Further, Jabeen and Illyas (2012) emphasize that characters in (learning resources (textbooks) play a significant part in children. Characters influence children's choices concerning to what type of being they want to become (Jabeen & Illyas, 2012).
Unterhalter and North (2010) therefore argue that to achieve gender equality through education, the concerns of men and women would be considered as integral parts monitoring, designing, evaluating policies programs in all social, political, and socio-economical domains to provide equal benefit for men and women and to not perpetuate inequality. Emphasizing on efficiency approach of Gender and Development (GAD), Cornwall (2000) also mentioned that men as oppressors and women as a victim of gender inequalities is a simplification of reality. So, there is a need to view gender, not as a unilateral issue of women but it should also be considered in terms of power relations and powerlessness where men and women may be dis-empowered and vulnerable (as cited in Gender analysis framework of Leach, 2003, pp.10-11).
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There is need to relook at the true meaning of gender-neutral laws on sexual harassment which should aim at protecting both men and women against sexual harassment in work settings. An enabling environment for prompt reporting and quick redressal with an unbiased investigation and a well laid out counselling system to ensure safety, as well as emotional and mental support to the victims, are important preventive strategies. These measures may help address the problem of hesitancy &/or other reasons for non-reporting. It is also pertinent to offer the accused a fair opportunity to defend, as there may be instances of false allegations
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Can someone recommend a comprehensive and up to date textbook on molecular docking?
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Good Luck.
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Recently I read the textbook "A Pharmacology Primer" (https://www.elsevier.com/books/a-pharmacology-primer/kenakin/978-0-12-813957-8 ) and it was very helpful to me.
The book contains quantitative efficacy modeling. For example, most concentration dependent curve' s shape is sigmoid, of course I knew it but the book explain why sigmoidal shape is drawn and its meaning can apply analysis of drug character.
However, the book cover only small molecules, I want to read more books about antibody drugs.
Can you recommend any textbooks?
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Hi:
this view, "most concentration dependent curve' s shape is sigmoid", is wrong. it comes from old theory of enzyme regulation .
you can see my paper: thermodynamic model for enzyme regulation or my book.
qinyi zhao
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How to analyze the mathematics textbook from the prospective of student‘s use in order to examine how textbooks support students to do mathematics learning?
Is there any theory that could be used for doing such research?or some relevant articles?or give some suggestions?
Thank you very much!
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I have found many scientific papers and edited books on global value chains. But I do not find any book that combines global value chain, buyer-supplier/seller relationships and climate change together. I am looking for a textbook that covers the issues together.
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Dear Elmugheira Mohammed,
Thanks for sharing the link.
Best regards.