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Could any expert try to examine our novel approach for multi-objective optimization?
The brand new approch was entitled "Probability - based multi - objective optimization for material selection", and published by Springer available at https://link.springer.com/book/9789811933509,
DOI: 10.1007/978-981-19-3351-6.
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I have recorded behavioural data, such as incidences of aggression and grooming partners, in a troop of lemurs over three conditions.
What tests should I be using to compare the rates of aggression in the three conditions?
For the grooming partner data, I want to compare grooming between sex dyads. For instance, the frequency of male-male grooming compared to male-female grooming within each condition and then compare the average proportion of grooming between sex dyads in the three conditions. How would I do this?
Thank you in advance for your help. Apologies if this question is poorly worded, I am very new to data analysis.
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Your explanation or the dataset sounds that it will be suitable for a two-way ANOVA. Other things being fine
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Hello, There is a dataset with several KPIs which are varying between (0,1). What is the best analytical approach to split the data and define a line in two dimensional (or define a plane in multi-dimensional space) based on data behavior and practical assumptions/considerations (there is some recommended ranges for each KPIs etc.)?
For instance in the attached screenshot, I want to flag the individuals/observations in Ae area for more investigation. I want to be able to apply the proposed approach in multi-dimensional space with several KPIs as well. Any thoughts would be appreciated.
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If you want to 'flag' individuals by some data-driven approach, possibly making a cluster tree would be helpful, and you can visually compare if the cluster tree flags the observations you were anticipating. This can help avoid simpson's paradox and such
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I want to purify my insoluble organic compound from sodium chloride through washing.
I have done my first trial with distilled water having tds approx 44 p.p.m and the second with fresh ground water having tds approx 500 p.p.m.
The results differs in both trials.
So how t.d.s and hard minerals affects the solubility of sodium chloride in water?
how can i calculate the ratio of solubility based on water quality (t.d.s).
Suggestions are highly appreciated.
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Each water has a capacity to dissolve any solute. After reaching such level, the water is saturated. Thus, it is not surprizing to see high TDS water has lower capacity to dissolve NaCl, compared low TDS one
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I would like to know if the SUPG method has any advantages over the least squares finite element method?
Thank you for your reply.
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Dear Zmour,
It can be better in term of diffusion convection reaction. My opinion is little different, the least-squares method has better control of the streamline derivative than the SUPG.
Ashish
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I have produced oleum by adding sulfur trioxide, SO3, to sulfuric acid. It mostly contains disulfuric acid (also called pyrosulfuric acid) but i think this method is not suitable for laboratory purpose so is there any feasible procedure for the synthesis of oleum for laboratory purpose?
Suggestions will be highly appreciable.
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Dear Daniyal Ahmed just in case that this question is still of interest to you: The article cited below contains a detailed description of how to make oleum in the laboratory:
Preparation of Sulfur Trioxide and Oleum
Personally I would suggest to buy oleum from commercial sources as it is an industrial product manufactured on a large scale.
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I am interested in collaborating with any researcher working on modelling corona virus using fractional derivatives. If you are a researcher or you have a related project, please feel free to let me know if you need someone to collaborate with you on this research study. If you know someone else working on this research project, please share my collaboration interest with him.her. I would be very happy to collaborate on this research project with other researchers worldwide.
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Thank you very much Dr. Abdelkader Mohamed Abdelkader Elsayed and Dr., Rashid Nasrolahpour ! I greatly appreciate that!
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There are many existing publishers that publish high quality books in mathematics, but my question here is: I want some suggestions about publishers who most likely publish books in the field of fractional calculus and fractional differential equations because I am interested in submitting a book proposal for a suggested publisher. Could you please share you information/knowledge about such recommended publishers in this specific field of research in mathematics? I would greatly appreciate your brilliant efforts and time!!
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Thank you Dr.
Mila Ilieva
!!
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Hello,
my project of master is about developing an open source GIS for agriculture.
I have problem with tiff data, I want to apply analysis on tiff data but i cant it only accept .bgd format have you any idea.
thank you very much
Maher Ibrahim
Iraq
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There is code to read tiff files and create a raster object out of it
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Many scientists lived who have milestone the world with his studies from past to present. Which scientist has been a role model for you through his studies or his/her behavior? Which have their properties, behaviors, inventions or principles, etc., leading to you or your studies? For example, "Karl Popper's Basic Scientific Principle Falsifiability" rules to me. Karl Popper is defining the inherent testability of any scientific hypothesis by this principle.
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Prof Jordan Peterson, who is also an active member of Researchgate.
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sequel to this most institution prefer that your journal publications should either be indexed by Reuters or scopus. What really is the need for research papers.
don't this rating and index mix create bias among researcher and scholars.
if research is to increase the frontier of knowledge why indexing.
your kind response in required.
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I do not agree with Jeremie Yabou that indexation blocks young researchers. The best scientific journals do not segregate against them, on the contrary.
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Is it possible to conduct a factor analysis for the food items from the FFQ and examine the way in which these items will be loaded with the specific dietary factors(foods); then, based on the results of this factor analysis, adjustment for all of these dietary factors can be done in order to determine if any of these factors will shift the adjusted hazard ratios or odds ratio away from the null.
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I am also wonder which is the best method to analyze the dietary pattern if not for Factor analysis. Do you have any recommendation or paper I should reference?
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I am currently searching for any open position as a PhD research position in applied mathematics. I am actively working in the area of Fractional Differential Equations with Applications in Science and Engineering. I have attached my curriculum vitae (C.V.) (Please see the attached PDF file). If you know any available position related to applied mathematics or any person who are in search of candidates for this type of positions, please do let me know. I would also greatly appreciate if you could share my C.V. with your connections.
Thank you very much in advance!
With Kind Regards,
Mohammed K A Kaabar
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Thank you very much Dr. Konstantin Kudryavzev !!
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A fundamental question for any PDE is the existence and uniqueness of a solution for given boundary conditions. For nonlinear equations these questions are in general very hard, hence we need an answer for the above question . Thank you very much!
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The answer is a little long and complicated, I recommend you read about
entropy solution, normalized solution and weak solution for a nonlinear parabolic equation in a paper by clicking the following link:
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I am trying to model the strain-softening behavior of rock mass using UMAT subroutine. And, I am applying the 'static Riks method'. My model is running fine in abaqus under small loading. However, when comparatively large loading is applied the analysis is being aborted after 18% load application with an error msg, 'THE SOLUTION APPEARS TO BE DIVERGING. CONVERGENCE IS JUDGED UNLIKELY'.
I have checked the .msg file, .log file and the UMAT subroutine file, but could not find any thing helpful.
Kindly give me some suggestions for solving this problem.
Regards, Dipaloke
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Can you select arc length method in ABAQUS?
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I know that "applications of metaheuristics to design optimization of structures" is treated widely in the literature. This is not the case for structural analysis.
It would be interesting to see that this subject also is treated in this new book.
Good luck in your work.
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All the answers are great
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I am wondering about any possible suggestions of applications/phenomena from science and engineering where the fractional-order geometric calculus can be applied effectively. I would greatly appreciate your help by providing me with references, suggestions, or examples related to this topic of research!!
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Thank you Dr. Kaveh Zamani very much for your answer!! I greatly appreciate it!!
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Dear All,
I am hoping that someone of you have the First Edition of this book (pdf)
Introduction to Real Analysis by Bartle and Sherbert
The other editions are already available online. I need the First Edition only.
It would be a great help to me!
Thank you so much in advance.
Sarah
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Search by the elements of real analysis by Bartle and Sherbert.
(For its first edition )
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Here is an excerpt from Schroedinger's "What is life?" Would be interesting to view this mathematically using smooth ordinary type functions ,which are not spliced and joined. Schroedinger quote"Organic chemistry, indeed, in investigating more and more complicated molecules, has come very much nearer to that 'aperiodic crystal' which, in my opinion, is the material carrier of life. And therefore it is small wonder that the organic chemist has already made large and important contributions to the problem of life, whereas the physicist has made next to none" unquote This leads to a question on aperiodic functions . Are there elegant smooth aperiodic functions e.g Sandpile mathematics , Finite Penrose tiling ?If so what are their properties? Cheers
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Dear Narasim Ramesh!
Look e.g. at chirp of sweep sine
f(x)=sin(a x^2/2+bx)
It has pretty Fourier image which modulus approximately flat in the [aX+b,b] range, where X is maximum coordinate.
Sincerely,
Daniil D. Stupin
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After conducting semi structured interviews, which software will be suitable for their analysis. And which technique can be applied in analysis which can be simple & effective.
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found Nvivo very useful and used it to create a thematic analysis of semi-structured interview data. I then created a thematic template. See Nigel King's work in this area.
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Does anyone have examples of studies (or literature reviews) that have used applied behavior analysis for treatment of persons with dementia? Articles can either pertain to reduction of problem behavior or skill maintenance/acquisition.  Thanks.
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Trahan, M. A., Kahng, S., Fisher, A. B., & Hausman, N. L. (2011). BEHAVIOR-ANALYTIC RESEARCH ON DEMENTIA IN OLDER ADULTS. Journal of Applied Behavior Analysis, 44(3), 687–691
you can find more literature in behavioral gerontology special interest group website
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Hello, researchers, at this moment I am doing some research work about construction productivity related with climate factors and I want to use Factor analysis on this even though it is a little bit complicated. The main problem I am dealing now is that which factor model is needed to apply for this research and how to measure this because climate factors are the little bit complicated to determine. 
I want to find out the construction productivity of concreting operation with the case study and add some climate factors on these cases in case of determining how those climate factors are influencing on those productivity of concreting operation with negative or positive effects. In order to find out the most effective climate factors to the concreting productivity of cases, I am operating and applying the Factor analysis in this study but I have some problem with choosing the correct and reliable factor methods which are Confirmatory factor analysis and Exploratory factor analysis. Which one is needed to apply for this analysis ? Could you give me some recommendations and feedbacks on this issue?  
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If you don't already have a model in mind, then you should start with exploratory factor analysis. If this produces a sensible factor structure, it then validated with confirmatory factor analysis, which uses structural equation modeling.
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(C1) to (C5) axioms can be found in below paper.
Sarma, I. Ramabhadra, et al. "Convergence axioms on dislocated symmetric spaces." Abstract and Applied Analysis. Hindawi Publishing Corporation, 2014.
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In the same paper, please refer Example 10. It is proved that C5 holds and C2 holds, but C1 does not hold
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Recent discovery of Gravitational waves is indeed exciting . It would be enlightening if the implications of this discovery is explained from different perspectives especially for the near future. Some possibilities could be , new insights into Planet perturbations, Climate change, Philosophies, new technologies of space/time travel etc.
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Hello, Narasim!
I'm not a physic but I also had a chilling feeling while listening to this news. The first thing I realized that this was the event that A. Einstein predicted about 100 years ago by theoretical background and, lastly, it was proved practically last week. For deep understanding, I dug up to some resources, mostly popular, and found my favorites:
The main prospective from it, in my point of view (that based on my survey), is an appearance of drastically new technique to investigate time and space and something else. Some compare it "to a deaf person suddenly gaining the ability to hear sound. An entirely new realm of information is now available.".
For me. the best striking strings about gravitational waves are the next:
"When asked to comment on LIGO's impact on the world beyond the scientific community, and about how gravitational-wave science might influence people's daily lives, Reitze simply said, "Who knows?"
"When Einstein predicted general relativity, who would have predicted that we'd use it every day when we use our cellphones?" he said. (General relativity provides an understanding how gravity influences the passing of time, and this information is necessary for GPS technology, which uses satellites that orbit further away from the gravitational pull of the Earth than people on the surface)."
Anyway, such a breakthrough gives all scientists much anticipations and hopes for their work (in any field of interests) and also is promoting science as the whole to a wide range of society. 
Best regards.
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In Mathematics the Lyapunov exponent of a dynamical systems is a quantity that characterizes the rate of separation of infinitesimally close trajectories. Is there some new algorithms  for calculate the Lyapunov exponent?
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Lots of people just plot a projection of the trajectory in some 2-D space, and if it looks scrambled, they declare that the system is chaotic, and they are usually correct. However, if you do this, iterate the equations for quite a while before you begin plotting the results since chaotic transients are quite common for systems that eventually attract to a limit cycle or stable equilibrium point. If you plan to publish your claim of chaos in a reputable journal, you really need to show that the largest Lyapunov exponent is positive and statistically significant.
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I intend to study the dispersal pattern of phlebotomine sand flies in a forested area in the cerrado (savanna) biome of Northeastern Brazil. Human dwellings and domestic animals are commonly found in the area. What is the best statistical test that should be applied in the analysis? The insects will be trapped, marked with fluorescent dust and then released at different collecting points. I will try to recapture the phlebotomine sand flies in the next ten days. I want to gather information about dispersal range, spatial memory, host fidelity, site fidelity and longevity. Can you help me?
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'Ecological Methods' by Southwood and Henderson (3rd Edition) is also a really good resource for the maths background on these studies. 
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I am doing negative binomial regression analysis. The output showed that all independent variables are not significant. One of independent variables has VIF > 10.
In linear regression, if all independent variables are not significant but has high R2, it indicates collinearity. Does negative binomial regression have same interpretation with linear regression (in terms of the coefficient aren't significant)? How about R2 in negative binomial regression?
Any help would be appreciated! Thank you
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I do not believe that the same principle from linear regression applies to negative binomial regression. The R2 term in linear regression captures how much of the variation in the outcome was explained by the model whereas R2 (often refered to as pseduo-R2) in negative binomial regression (and generalized linear models in general) usually captures an improvement in fit above the null model. 
Another possibility to consider with count data is whether there are excess zero values in the distribution of your outcome variable which may require a zero-inflated negative binomial model. A 2013 paper by Perumean-Chaney, Morgan, McDowall, & Aban in the Journal of Statistical Computation and Simulation showed that not accounting for excess zeroes increased Type-II errors (truly significant predictors are not identified as significant by the model). You could you Vuong's test to see if your data may be better suited for a zero-inflated model (I believe this is built into Stata and a few R packages like pscl but not SPSS or SAS, but I may be mistaken). 
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I had collected data on the percent cover of benthic forms including corals, macroalgae etc. continuously for 2 years in 2 different study sites. Analysis of the results revealed short term proliferation of macroalgae in the study sites with corresponding decrease in the percent cover of other benthic components. Kindly advise me what statistical methods can be applied to suitable interpret the results.
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You can apply both multivariate and univariate statistical methods. Multivariate methods such as NMDS will allow you to group study sites according to their similarities in species composition/abundance. If you have a specific hypothesis to test, you can draw univariate information from your species matrix (such as species diversity, or species richness, or evenness) and then test your hypothesis with an univariate repeated measures analysis of variance (ANOVA). However, there are assumptions (such as distribution normality and variance homogeneity) that must be met for ANOVA use, and in case you do not meet these assumptions, many authors would recommend the use of non-parametric equivalents to ANOVA (such as Kruskal-Wallis test). If you intend to use univariate tests, I would strongly recommend you read the book "Experiments in ecology: their logical design and interpretation using analysis of variance", from A.J. Underwood, published in 1999 by Cambridge University Press. For multivariate analyses, the software Primer (http://www.primer-e.com/) is a must. All the best! 
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Can anyone help me to remove confusion from my mind because I am confused little bit about the difference between AHP, Fuzzy AHP, Fuzzy Logic and Fuzzy Delphi method. I am new one in this field with very little experience and I solved some problematic situation using AHP. which was related to selection of DBMS. Appreciate short answer from anyone.
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AHP is a method for multicriteria decision making that help decision makers to select a choice between alternatives.
Fuzzy logic is an approach that deals with unceratin data  and imprecious knowledge.
When decision makers needs to take a decision in uncertainty circumstances , they can use Fuzzy AHP.