Science topic

# Fitness - Science topic

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Questions related to Fitness

Some vertebrates are entirely self-sufficient and never see their parents, whereas other vertebrates (including humans) have extended periods of obligatory parental care; which is a behavior and evolutionary strategy adopted by some animals, making a parental investment -which is any parental expenditure that benefits one offspring at a cost to parents' ability to invest in other components of fitness- into the evolutionary fitness of their offspring. why is that?

Hi, I am wondering if there is a correlation between colony size on a YPD plate and fitness. I am working with S. cerevisiae.

Also, does the fitness calculated with the size of the colony also correlate with the fitness calculated from the growth on liquid media?

#yeast #saccharomycescerevisiae #fitness

I need to fit a transient absorption kinetics, starting from -500 fs to 4000 fs. Around time-zero, it has a Gaussian function due to instrument response (region-1) and from about 100 fs (to 4000 fs) it shows the actual exponential kinetics (region-2). I need to fit both the region simultaneously in Origin (i.e. deconvolution around time-zero and exponential growth(/decay) afterwards). Please suggest how do I perform the fit in Origin? Thanks.

I'm trying to fit RRM model manually using any of the three software.

Hello,

Many protein shake powder mixes contain digestive enzymes such as protease, lipase, and cellulase. However, the products do not detail from which organism the proteins are produced or which protein homolog is used. I would imagine that the enzymes are produced in yeast or fungi. I am am curious regarding which organisms are used. Also, is the native form of the protein harvested from these organisms, or are they made to produce a recombinant human version? In the case of cellulase, there is no human homolog, so it must be from another organism. Regardless, should not the host species be listed on the product? Additionally, if the protein is not naturally occurring in humans, is it ever a good idea to consume it in high quantities?

Thank you!

The Novel Coronavirus Pandemic is currently and permanently changing the location of where Resistance Training (RT) is going to be performed. The who, what where, how, and desired effect of RT is never going to be the same.

So many are home bound developing new habits of exercising and cohabitating.

I am wondering how my colleagues here on ResearchGate envision ways that Resistance Training is going to adapt to the new world order of exercise, fitness, health and human movement?

Is there any danger of sweat, aerosols or bioaerosols in the case of indoor exercise and/or high-intensity exercise in relation to SARS-CoV-2?

Is sweat a danger?

Are bio aerosols a problem indoors with higher-intensity exercise? Would you have to account for ventilation and air flows?

Is there more danger with heavier breathing patterns or more powerfull ones?

Can you somehow try to make sure if a person has an infection when they do not have symptoms?

hi

how can i draw a forest plot graf in STATA with favorus option like aerobic vs. control

i type this command,

metan n1 mean1 sd1 n2 mean2 sd2, favours(aerobic # control)

but i faced with this problem by STATA:

option favours() not allowed

can anyone help me?

Any ideas/suggestions related to re-opening of fitness centra and personal training and safety measures and/or risk factors related to covid-19?

What about material?

What about training machines?

Risk of spread with breathing, with higher-intensity training?

What kind of safety measures would you suggest?

Any science about this related to sars-covid from before?

I have a XRD data with a number of overlapping peaks. Hence I am not able to go below GOF 2 and Rwp 10 .

What Goodness of Fit and Rwp could be considered to be the best for Rietveld Refinement in XPert High Score Plus for a material with overlapping peaks?

XPS

Peak Fitting

CASAXPS

Residual

My residual value is so big because I have the right side of the data peak uncovered. Is it possible to adjust the right side of the component peak to cover the open side of the data peak as shown in the attached picture? I am a beginner at XPS Peak fittting.

This is the result of my goodness of fit test in AMOS:

P = 0.046

CMIN/DF = 1,473

RMSEA = 0,069

CFI = 0,969

GFI = 0,921

TLI = 0,953

Most of the fit indices show that the model is fit except for P-value. Do I have to revise my model or is this good enough?

have a curve in a tripartite plot and have to do least square fitting of 7 straight line segments through the curve I have and the constraint is that the third line segment should have a slope of -45 degrees (anticlockwise ) and the fifth line segment should have slope of +45 degrees and the fourth line segment should be a horizontal line. From the piecewise fitted line segment curve I have to get the optimum values of intersection points and the optimum perpendicular distance of 3rd line segment from the -45 degree axis and optimum perpendicular distance of fifth line segment from +45 degree axis. I don't have an objective function to be minimized or optimized but have some 1000+ x and y values of the original curve and know the equation to find third and fourth parameter on the diagonal axes from the x and y values . Is it possible to find these optimum points and values using fminunc function in matlab or any other function?

As stated above, before attempting to improve the model, RMSEA and SRMR suggest the model may fit, but CFI value is low.

Every athlete requires an adequate amount of protein. It’s not only good to increase lean muscle mass , it will also optimize anabolic hormone levels, increase metabolism relative to other nutrients and improve cardiovascular risk profiles.

So which are better protein supplements or protein in foods ?

We are usually told to take a 15 minutes nap after lunch and a walk after dinner. How long after taking meals one should take a nap or walk? Should we walk briskly or leisurely after meals? Should it be a short walk or a long one? Walk before a meal helps burn more calories or walk after meals? How long should we walk before and after a meal?

Your ability to lose, gain or maintain your weight is dependent on genetic, environmental, and behavioral factors. But how much of a role does genetics play in weight loss versus eating a healthy diet? Is there any truth to genetics playing a substantial role in your ability to lose weight to improve health and overall body composition? Or the exercise and diet is the driving factor?

can someone explain about of effect of this both training model on muscle activation and muscle damage? moreover what effect they have on the muscle hypertrophy?

Seeking co-authors/collaborators to participate with me in database studies involving NSQIP, NIS, SEER, NAMC, etc. This is a good opportunity for post-docs and research fellows who can work remotely. Must have a basic understanding of biostats, surgical/medical outcomes, and the afore-mentioned databases. Send me a message and let's see if you are good fit.

I am currently working with 2 non-linear equations; One is with 3 coefficients; The other is with 4 coefficients; I have used EXCEL SOLVER to minimise the sum of squared normalised residuals. I am not sure to have 3 coefficients or 4 coefficients in terms of goodness of fit.

Best regards

Ravi

I am runing a SME model. It has four main constructured which are again represented through sub-constructed.

Variable counts (Group number 1)

Number of variables in your model:126

Number of observed variables:50

Number of unobserved variables:76

Number of exogenous variables:64

Number of endogenous variables:62

Computation of degrees of freedom (Default model)

Number of distinct sample moments:1275

Number of distinct parameters to be estimated:113

Degrees of freedom (1275 - 113):1162

Chi-square = 6643.039

Degrees of freedom = 1162

Probability level = .000

is the chi-square statistic in expected size or it is in abnormal size?

because, so far i have not see such large size value of chi-square.

please responde on the size of chi-square statistic and also whether the model fit is acceptable in this case or not.

In medical and biological research we are often interested in making predictions or in building a model to predict a continuous outcome based on a continuous predictor type variable or possible biomarker. After constructing the scatter plot and visually looking at the paired data points we may conclude that the relationship is linear and that this seems plausible and then go about using least squares regression to derive a fitted line or equation of the form, Y = a + bX. Before we can rely on this strategy as a research tool, how do we assess whether the relationship in indeed linear? Other than residual plots, is there a useful statistical test or assessment to verify this?

What CAN or SHOULD science do in relation to body building, natural bodybuilding, men's physique and the misuse/abuse of the term "natural" in this?

Should we give recommendations?

Should we tell the general public how doping tests have no value?

Should we reach out more to misusers of the term "natural"

Can we see or show if someone is "faking".

Any thoughts or idea's on this?

Also in relation to commercial companies, young people and doping use.

how i can calculate the fitness function of the chromosome in cloudlets scheduling to vms in cloudsim ???

What is the vacuum fitting size of

1- Edwards Pirani gauge head (PR 10-C) (D024-23-000)

2- Edwards Penning gauge head (CP 25-S) (D145-33-000)

Dear friends,

Can any one advise me on which ordination methods is most fit for analyzing diversity with the environment. please share few useful paper or links available with you.

Many Thanks in advance

Sileesh Mullasseri

I understand the theory for PSO but i cannot seem to identify the fitness function for PSO to optimize FLC.

I have developed a model in my study. Now, I'm going to test the model to see if it fits the data. I wonder if I should develop the questionnaire to measure the current status or if the items of the questionnaire should measure the ideal conditions?

The real challenge when using WinBUGS is to formulate the BUGS model in such a way that the Gibbs sampler actually converges to the posterior distributions of the model parameters. Negative binomial regression can be particularly challenging in this regard.

Thus, kindly advice.

I’m conducting a measurement invariance analysis on a 5-item dichotomous scale using Mplus 7. The estimator that I am using is WLSMV. The first model (configural invariance) which is the least restraint model resulted in a chi-square of 53.83, CFI = 0.971, TLI = 0.941, RMSEA = 0.055. The second model (metric invariance) which is supposed to be more constrained than the first model resulted in a chi-square of 56.13, CFI = 0.973, TLI = 0.963, and RMSEA = 0.043. Based on the CFI, TLI and RMSEA, the data seems to fit the more constrained model than the relaxed model (ideally it should be the other way around). I have double checked my analysis and there isn’t anything wrong there.

My question is what is the possible explanation for this?

My outcome variable is a cost of specific disease, I want to design a linear regression model with some independent variable such as education, age, sex, residential palace etc. I need to know which model would be fitted for the regression analysis?? If I want to design linear regression model, what is the procedures?

Hi,

does anyone have the access to the following? will appreciate if you can share.

Hutcheson, J. M. (1999), An examination of three levels of person environment fit. Doctoral dissertation, University of Houston, 1999

regards,

Im trying to associate cumulative drug release profile with a mathematical model. How is this achieved?

I am trying to know the algorithm of Matlab Polynomial Surface Fitting.

I have x and y values. The y values are calculated somewhere else and are reported as y ± error. I want to do a linear fitting of "x and y± error". How would the errors of y affect the error of the slope of the fitted line?

I used Prism to do 2 linear fittings ("x vs y" and "x vs y±error") and the both gave me the same std error for the slope. I feel like this doesn't make sense as errors in the Yi should increase the errors in the fitted slope.

I am planning to do a Netnographic analysis mixed with individual in-depth interviews about women's motivation for posting fitness media on Instagram.

I really appreciate your help.

If a pop. of 50 has high allelic diversity, low Ho, a moderately high F-index, does this indicate genetic drift, inbreeding and non-random mating? Would it be all three? Can't yo have non-random or selective mating without inbreeding? Could selective mating indicate high fitness? Thanks!

This is what we research at Aquatech Food Support Systems in Springfield, Missouri on a daily basis.

SEM using maximum likelihood is showing chi square and df equal to zero. Please guide how i could get/report fitness indices?

Hi there,
Can someone please share any relevant papers of the influence of technology on avoidance and anxious attachment styles? My research examines the moderating effects of task technology fit on attachment styles and group processes at the workplace. Any suggestions will be useful.
Thanks,
Rahul

I hope i can find explanatory answers for my 2 questions

1) When i plot data results obtained from UV-Vis experiments, I get confused which function i should to fit data points to the best fitted line and what does the fit infers. BTW, I always find that gaussian, boltzmann and asymptotic1 functions gives me the best fit.

2) Regarding Boltzmann function y = A2 + (A1-A2)/(1 + exp((x-x0)/dx)), does values for A1, A2, X0 and dx gives important meaning ? My plot represents fluorescence maximum as function of excitation wavelength.

The first 3.2 billion years of evolution were replication by mitosis, how does MET fit into the exact copy of DNA model of mitosis? And since the cell monitors the surroundings to determine if the oconditions warrent replication how does major change occur versus regular change? In other words how can a new external condition signal proceed with replication.

I look forward to your response.

Some of the inferences that I could draw are

(My Sample is 500)

from Regression Weights: (Group number 1 - Default model)

There are only 4 linkaages with P value greater than 0.05

from the Model fit

For the default model

RMSEA=0.074 (acceptable is less than 0.10)

NFI=0.663

CFI=0.727

Acceptable for above 2 is...should be greater than 0.90

Lets take a close look at three related terms (Deep Learning vs Machine Learning vs Pattern Recognition), and see how they relate to some of the hottest tech-themes in 2015 (namely Robotics and Artificial Intelligence). In our short journey through jargon, you should acquire a better understanding of how computer vision fits in, as well as gain an intuitive feel for how the machine learning zeitgeist has slowly evolved over time.

Hi All,

I'm fitting a logistic regression and I summed up the deviance and used a chi-square distribution to test over-dispersion with this code below:

2 Questions:

Q1: I'm getting a p-value < 0.05, so does this mean overdispersion id detected?

Q2: How does it impact my model coefficient? What should be my next step?

Thank you so much and have a wonderful day!

All the best,

Kathy

P.S. Here is the R code:

p_hat = predict(model_obj,newdata = model_obj$model, type = "response")

D = -2 * sum(p_hat * log(p_hat/(1-p_hat))+log(1-p_hat))

chi_sq_n = nrow(model_obj$model)

chi_sq_p = length(strsplit(Reduce(paste, deparse(model_obj$formula)), "[~+ ]+")[[1]])-1

chi_sq_df = chi_sq_n - chi_sq_p

chi_sq_pval = pchisq(D, df = chi_sq_df)

Where model_obj is a logistic regression object.

I would like to find out if Hasofer-Lind's Reliability Index is important for the estimation of reliability of structures.

I've made some good predictions using a meta-heuristic algorithm and one question that I have is if the usage of this index helps an engineer in some way or is just an easiest way to calculate the reliability rather than using the integral of the probability function.

I gained nyquist plot(below figure) by EIS, and i want to fit this data with equivalent circuit. So, i wonder if i could fit my data to the this equivalent circuit(below figure).

I know that nyquist plot should have two semicircle which has bigger 1st circle than 2nd circle by using this equivalent circuit. However, my data shows two semicircle which has bigger 2nd circle. So, i want to know can i apply this equivalent cirucuit to my nyquist plot data.

Thanks in advance

Sanghyun Bae

I'm working with RSM and some doubts have arisen, I'd be very thankful if someone could help me. I'm working with the optimization of polyphenols extraction and analyzing the antioxidant activity (response, dependent variable) by three different methods (ABTS, FRAP and Total Phenolic Content). I would like to know :

1) What does it mean the quadratic effect being significative or not? Which is it influence in the response?

2) What does it mean if all the effects of the variables (linear, quadratic, mean/interc, interaction) are significative? Does it mean that my model is incorrect?

3) I obtained an ideal extraction condition, with a specific temperature and a specific concentration of the extractor solvent. In ANOVA analysis I obtained that the lack of fit isn't significative (p>0,05), so I understand that the model fits well and is predictive. When I insert the values of X and Y variables of the experimental design (DCCR), the predicted and the observed values are very close, the relative error is small. But when I insert the conditions of temperature and concentration of the extractor solvent (that is a condition that is in the interval studed, not a point of the complete design) in the correct terms of the mathematic model (X and Y values), I obtain a predicted response very different from that one observed in the laboratory analysis. The observed value is higher than the predicted.

4) I made an experimental design with alfa value = +/- 1,41 (Q values), I have 5 levels for each independet variable. If the Q values aren't significant in the effects analysis, is it correct to say that my planning is a first order experimental design? Should I repeat all the optimization analysis again but only with the levels +/- 1,00 for each variable?

Thank you for the support!!

Best

Hello everybody

I used a RCCD to optimize phenolic compounds extraction parameters of a plant. Before this, I performed a factorial design to choose an adequate zone. As a result, central point was used for optimization. Levels for the factors in RCCD were adjusted near to central point values. Finally, response surface was generated (image attached). The aim was to obtain the highest phenolic content but it was opposite. Lack of fit was significant which indicates that experimental values don't adjust well to the model.

It is known that central points show repeatibility of treatments in an experimental design, but what happen if a RCCD is generated from a factorial design in which central points (0/0) showed an optimum zone to work besides of other treatments (+1/+1, +1/-1 or -1/-1)? I mean, I worked in an optimum zone through RCCD but response surface is opposite when it must reflect a maximum optimum. How do you explain this?

Thank you in advance.

I have my own work so that I need to publish if you have a room to review and publish educational research in your project. If yes, please let me know all the requirements/ criteria, my work is large document so I can minimize in a journal fit size for publication. I am looking a free charge journal. Thank you in advance!

Hi,

The speed with which robots are becoming part of our life is exorbitantly high. The robots may be physical that we see in manufacturing industry or home support or they could be virtual like chat bots, virtual workforce.

It is critical that these robots are certified for fit for use to avoid issues in live.

Are there any quality guidelines set up and validated before they are certified as "fit for use" and brought in to the market?

Regards,

Anshuman

Is it possible to obtain an effect size (such as correlation coefficient or some measure of goodness of fit) from a locally weighted scatterplot smoothing plot?

The reason for obtaining an effect size is to use the data in a meta analysis.

When you have a larger order matrix (16x16) in your manuscript. The matrix will not be able to fit properly in the script.

Raman spectroscopy is a now used by a few scientists to do dapant mapping in doped Silicon through some fit parameters and fitting.

I want to generate the dihedral constants for a force field.

Doing a potential energy scan of by rotating around the 2-3 bond using an QM software we can get the variation of the dihedral energy as a function of the dihedral angle, something like what is shown in the figure. This profile can be fit using a suitable function, for example an expansion in cosines.

But when we have to implement this force field in a MD software like LAMMPS (which is what i intend to use), it requires that the dihedral constants be specified for all possible bonds associated with a dihedral. For example in the cartoon, the dihedral constants need to be specified for 1-2-3-4 and also for 1-2-3-5. My question is how do I split the constants obtained from fitting the ab-inito dihedral scan.

Though I have come across a few, I would like to be pointed to some exhaustive review papers on force field parametrization.

Anybody can help me?

How to calculate and step by step create decision support system using genetic algorithm?

I stuck on criteria and find fitness function

I wish to use a placebo drink for comparison with a protein feed in humans that is matched for texture/consistency as well as volume and flavour. Are there any non-caloric placebos that fit this description that have been previously used in human research studies? Any advice would be greatly appreciated.

Hello,

currently I am fitting a VAR(3) model on macroeconomic variables. Unfortunately the Jarque Bera test rejects nomaly distributed residuals of the S&P index and on industrial production. Is there a way to run the model anyway, or do I have to drop variables from the model?

Thanks beforehanded,

Nils

The model consists 4 fixed effects and a random effect. I'm keep getting a convergence error

**Error: nlminb problem, convergence error code = 1 message = false convergence (8)**

How do I solve this?

I want to publish my research in the area of Time series cluster and model fitting. Please suggest me journals for which I do not have to pay

I wonder if primates also feel sexual humiliation when they are naked or in other context like human, does it lowers reproduction fitness?

I guess there are almost no studies, but curious.

Can anyone please recommend a company that can isolate single compounds from natural materials, with GMP certificate - fit for human consumption?

Thank you in advance,

Igor Lukić

Can we accept a model fit in which some of the indices (GFI as example) are near but less than 0.9? The other indices are excellent. Software AMOS.

I am trying to analyse monthly trends over the past 10 years on year to year basis with the intention to determine the seasonality connectivity to predict. Meaning, it is about putting yearly layers of monthly trends to determine R square and to attach that closeness of fit onto the current part of the year to determine predictivity. Does anyone have an advice on how to perform this and on which software could this be easily performed ?

In India bath rooms in trains are being fitted with biotoilets.I desire to know the working principle of the biotoilet,how the human waste is treated and disposed off.Has it been used for manurial purpose in horticulture etc.?

I am working on ion channels and see an apparently biphasic dose-response in my experiments. How do I fit this? None of the functions I used so far works! I am using OriginPro 2016! Thank you for your help!

I am troubled in fitting the dielectric data i.e imaginary part of dielectric constant , electric modulus (M") and Z" w r t frequency. Can anyone help me out with detailed steps of fitting these parameters

What kind of data do you have available to base your quantitative model on? Ideally, could you have data of only radiated, only immuno-treated, and radiated and immuno-treated subjects? Then, you could as a first step fit a simple linear model with interaction term a la doi:10.1038/nmeth.1581 (methods section), to identify factors associated with synergy or even antagonism.

I need lateral motion coefficients (a22, a24, a26, a44, b22, b44, b46 so on) of any kind of ship for simulation purposes.

They might be obtained by conformal mapping, close- fit, panel methods whatever.

Best regards.

I have a question.

I did MTT assay for cytotoxicity with a variety of drugs.

It was different pattern depending on cell lines in high concentration drug

If cell not die (~near 20% of viability remain) in high concentration drug, will i be able to use log(inhibitor) vs. normalized response fitting formulation?

This situation, i used log(inhibitor) vs. response variable slope (four parameters).

is it ok ?

For example, if Sb

^{3+}is doped to Fe_{2}O_{3}, and EXAF data is collected at Sb edge_{.}then I want to fit Fe_{2}O_{3}model to Sb^{3+}doped Fe_{2}O_{3}. Is this a right move?I'm currently writing my Masterthesis about attitudes of (kindergarten-)teachers towards transition of children with Special Needs ans role of OTs in this process.

Would this fit the topic of the Special issue? Let me know!

Thanx

Katrin Pechstädt

Dear all,

I am doing a moderation analysis in Lisrel and this is the output I got:

Degrees of Freedom = 0

Minimum Fit Function Chi-Square = 0.0 (P = 1.00)

Normal Theory Weighted Least Squares Chi-Square = 0.00 (P = 1.00)

The Model is Saturated, the Fit is Perfect !

How am I supposed to read this?

Regards.

I would like to know which fit is use to rebuilt FL relation in the paper « A comparison of two Hill-type skeletal muscle models on the construction of medial gastrocnemius length-tension curves in humans in vivo » Hoffman et al., 2012 (joint in PDF).

If i follow the model Torque (normalised by Maximal torque)=exp(-absolute[((L-L0)/L0)^b -1)/s]^a.

However, in the methods Maximal torque and L0 were obtain thanks to fitted lenght tension curves.

How the authors normalise torque by maximal torque and obtain muscle strain witout maximal torque and L0?

Thanks a lot