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I infected the cell lines H1437, H2073 and H2228 with a lentivirus that express resistance to puromycin. Does anyone knows the best dosis and time for selection? I have found information using 2 micrograms per ml for 3 days, but when I did the kill curve for H2228 it did not seem to be enough.
Any information or experiences would be greatly appreciated!
Thank you!
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Dear Colleague,
I hope this message finds you well. Determining the optimal puromycin concentration for selecting non-small cell lung cancer (NSCLC) cell lines transformed with lentivirus requires an initial kill curve experiment to identify the lowest concentration that effectively kills untransfected cells while sparing the transfected ones. Here is a detailed and logical approach to determining the best puromycin concentration:
Steps to Determine the Optimal Puromycin Concentration
  1. Prepare Cells:Cell Seeding: Plate NSCLC cells in a 24-well or 6-well plate at a density that allows them to reach 70-80% confluency within 24 hours. This ensures they are actively dividing and will respond uniformly to puromycin.
  2. Prepare Puromycin Stock Solution:Stock Solution: Prepare a stock solution of puromycin (e.g., 10 mg/mL) by dissolving puromycin in sterile water. Filter-sterilize the solution and store aliquots at -20°C.
  3. Perform Kill Curve:Dilution Series: Prepare a dilution series of puromycin in the culture medium (e.g., 0, 0.5, 1, 2, 4, 6, 8, 10 µg/mL). Add the different concentrations to the wells containing NSCLC cells. Incubation: Incubate the cells with puromycin for 3-7 days, refreshing the medium with puromycin every 2-3 days. Monitoring: Observe cell viability daily using a microscope. Identify the lowest concentration of puromycin that results in complete cell death (no viable cells remaining) within this period.
  4. Selection of Transduced Cells:Transduction: Infect NSCLC cells with the lentivirus carrying the puromycin resistance gene. Ensure a high multiplicity of infection (MOI) to increase the efficiency of transduction. Post-Transduction Recovery: Allow the cells to recover for 24-48 hours post-transduction before applying puromycin. Puromycin Selection: Apply the previously determined optimal puromycin concentration (typically between 1-10 µg/mL) to the culture medium to select for transduced cells. Monitoring: Replace the medium with fresh puromycin-containing medium every 2-3 days and continue selection until non-transduced cells are completely eliminated (usually 3-7 days).
  5. Validation:Efficiency Check: Validate the selection efficiency by assessing the expression of the transgene or marker gene carried by the lentivirus. This can be done using methods such as qPCR, Western blotting, or fluorescence microscopy if a fluorescent marker is present.
Example Protocol
  1. Cell Seeding: Seed NSCLC cells at 50,000 cells per well in a 24-well plate.
  2. Puromycin Dilution Series: Prepare puromycin concentrations of 0, 0.5, 1, 2, 4, 6, 8, and 10 µg/mL.
  3. Application and Monitoring: Apply the puromycin series and monitor cell death daily.
  4. Optimal Concentration: Determine the lowest concentration that kills all non-transduced cells within 3-7 days.
  5. Transduction and Selection:Infect cells with lentivirus. Allow recovery for 24-48 hours. Apply the optimal puromycin concentration for selection.
By following these steps, you can accurately determine the best puromycin concentration for selecting NSCLC cell lines transformed with lentivirus, ensuring effective selection of transduced cells while minimizing toxicity.
Should you have any further questions or require additional assistance, please feel free to reach out.
This protocol list might provide further insights to address this issue.
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Use of auxotrophic mutants lines for transformation of fungi is a traditional practise but it does not enable future discrimination between the wild type and transgenic line. Could basta gene serve to enable selection of the transgenic line from the wild type or from the back mutants of the transgenic line?
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Thank you Guilermo. Your answer helps alot.
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Did u experience video interviewing in process of selection and if u did how did u feel about it ?
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Thank you Muhammad Irvan . Appreciate the feedback. Seems like is getting more popular.
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...
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Hello again Nico,
DId you have your pilot study respondents rate each of the purported utilitarian products on the hedonic dimensions/attributes, and vice versa?
Otherwise, how could you be certain that an out-of-category product wouldn't rate higher than the in-category products? (Even if you thought that such an outcome was unlikely.)
If you must reduce each set, then likely you would opt for utilitarian products which had highest average ratings across the five utilitarian dimensions _and_ (ideally) lowest average ratings across the five hedonic dimensions; the opposite would be the target for hedonic products.
I don't think that PCA would be productive here, since any observed coalition of products might be due to some completely different attribute, and not necessarily the 5 (utilitarian) and 5 (hedonic) you've identified.
Good luck with your work.
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since i am trying to grow deinococcus radiodurans in my lab, i encounter a lot of compititive bacteria like E. coli and Bacillus types. please suggest 
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Can u pls suggest me a selective media for deinococcus isolation
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I am using the Invitrogen Countess FL II to count PBMCs in bone marrow samples. Which settings (size, brightness and circularity) will help to select this specific cell population?
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Hey Lindsay Kelly , I saw your question today and it's exactly my question nowadays. Did you have to settle any parameter?
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I am working on the analysis of fungal populations sampled from 12 geographic locations using RADseq data. The dataset contains 7439 polymorphic loci with ~10 snps per RAD locus (75,482 snps total). I ran Structure and DAPC using dataset with 7439 loci and 1 snp per locus (to avoid linkage). As a result, 5 genetic clusters were identified in the whole dataset. While reading literature on RADseq population analysis, I have noticed that people also run analysis on the detection of loci under selection using Bayescan.
In order to proceed with the population analysis, I want to detect potential loci under selection in my dataset as well for two reasons: 1. To ensure I use only potentially neutral loci for population structure analysis; 2. Possibly identify genes that participate in local adaptation (environment etc) or code important phenotypic traits (e.g., linked to pathogenicity and such).
Since, I have never done such analysis before, I am worried whether I am approaching this task correctly, and I am also concerned about false positives. I was hoping to get perspective from scientific community and possibly some suggestions on few things.
First, if I want to detect whether any of markers I use for population analysis (e.g., single snp per locus) are under selection, I should use dataset with population strata 5 for Bayescan and dataset in which only single snp per locus recorded. Is it correct?
Second, if I want to detect loci under selection to further check for links to local adaptation and/or phenotypic characteristics, I should use population strata 12 (geographic locations) and dataset that consists of haplotypes that were built from all the snps detected in all loci. Is this correct?
Based on the logic described in "First" and "Second", I did test runs with Bayescan and plotted results. Two plots are attached. My questions regarding plots:
1. The distribution of data points on both plots diverges. My interpretation is that Bayescan detected loci under selection with very high Fst and low Fst (am I right?). Would that be a correct conclusion to make that loci with low Fst (lower string on the plot) are probably under balancing selection, while with high Fst under diversifying selection?
2. The difference in number of loci under selection reported from two separate analyses is significant. In the first run with pop5 and single snp (two alleles), I have got 272 outliers. In the second run with pop12 and haplotypes derived from all snps in loci (multiple alleles) I have got 700 outliers (roughly 10% of the total dataset). I don't know how to evaluate this result. Is it real or do I most likely have false positives here (since there are so many of them)?
If you can give input/perspective/warnings/point on my mistakes on at least some of the questions I highlighted above, I will be very grateful. I just want to make sure I am not doing some fundamental mistakes in the beginning and setting my analyses incorrectly.
Many thanks for reading and taking time to think with me.
Olga
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Hi, I am working on the analysis of black lion tamarin populations sampled from GBS data. The dataset contains 2597 polymorphic loci. I ran PCAdapt using all loci and found around 200 outliers. As suggested also run un Bayescan without population stratification. However, there are no outliers in this analysis.
I'd be thankful if anyone could give me some insight into why this is happening, or if they could suggest a parameter that I could alter to test it. Jose Alberto Lopez-Aleman Olga Kozhar
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See above
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You may read this article, I think it may help you, based on practices.....
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At first I used for my transformations by electroporation CL990-cin in concentration 100 mkg/ml. But single colonies of not-transformed strain grow on a plate. I increased concentration of antibiotic to 300, but it didn't help. A substitution of CL990-cin to Zeocin is also. Plates were made without direct light source and covered by foil. It only leaves pH. But may be someone had any experience with this antibiotic?
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Hi,
As Nokuthula suggests, usually, peoples use 100ug/ml zeocin concentration for P. Pastori's culture.
The high concentration of Zeocin could help in the transformed clone screening. You can use 100-300ug/ml of Zeocin. 200ug/ml worked for me.
To see the colonies on Zeocin plate, the proper transformation protocol should be followed and consider the factors affecting transformation efficiency like
Way the competent cell prepared
nature of the recovery medium
Cell density
DNA concentration
Best
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I would like to isolate Plesiomonas from freshwater  ?
do you know specific/selective culture media and/or enrichment step ?
thank you
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Plesiomonas spp. is actually easy to isolate through the use of most media that are routinely used in the laboratory such as SBA or CHOC agar. The most convenient screening procedure to do is an oxidase test on such media for most strains of plesiomonads ferment lactose – as their delayed positive reaction. However, even if specialized media are not often recommended for the isolation of plesiomonads, the use of inositol-Brilliant green-bile salts (IBB) is claimed to be highly efficient in enhancing the isolation of Plesiomonas spp. from both clinical and environmental specimens.
As for the enrichment of Plesiomonas spp., some studies stated that alkaline peptone water (APW) which has a pH 8.6 can be used, as well as Gram-negative broth. (more effective when ratio of coliforms to plesiomonads is elevated; usually during chronic diarrhea). In addition, another enrichment broth is claimed to be more effective than APW and is said to be the enrichment of choice or is more recommended for the isolation of plesiomonads, which is the bile peptone broth.
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Hi and thanks for taking the time to help me.
SHORT
Given I have all pairwise combinations of elements in a population, and each pair has a value associated with it. What algorithms can be used to select the pairs in order to maximize the sum of values under the constraint that each element must occur only once in the selected pairs?
LONG
Setting
I have a matrix of shape nxn with n being an even number. Elements exist only for the upper triangular matrix (not for the main diagonal however). Thus, the matrix indicates all possible pairing combinations (without repetition). Each pair is represented by a value in the matrix.
Imagine 4 boxer (A, B, C and D) whereas the matrix represents a possible fight setups.
A B C D
A X X X
B X X
C X
D
Problem
I want to select n/2 values (2 in the example above). The constraint is, that after choosing the first element, the respective row and column is "deleted". By that I ensure that every boxer is chosen exactly once.
The resulting combination are the values of the following intersections
- AB / CD
- AC / BD
- AD / BC
Basically, it resembles to the combinatorial problem given in most sport league systems where teams are paired in the first round.
In this case however, each element has a value (let´s say, each fight has a prestige score). I want to select these elements in order to maximize the sum over all values.
If n is large, I need an algorithm to find a good solution. I thought that the problem might be similar to the traveling salesman or Knapsack problem. Hence, I could use according algorithms. However, I am not sure and would be happy to get input what algorithms could be suitable to this problem?
Best
Sven
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Unless I'm missing something and these are your only constraints (e.g., you need not worry about future pairings), then the single period pairing problem can be modeled as a bipartite maximum weight matching problem. You can set the value for pairing the same element with itself to small enough value to enforce that self-matchings will not occur.
This problem is also known as the assignment problem and can be solved with an LP solver.
You can also apply the Hungarian algorithm:
Best regards,
Juho
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Dear Sir/Madam,
We invite you to partake in a survey for this research project. The main objective of the survey is to identify the most critical QoS factors influencing the selection decision success in cloud service composition. Your participation will be completely confidential, and you will remain completely anonymous throughout this process. The data gathered within this survey will not be subject to any public disclosure and is for use only as part of a PhD research project. The following survey is stage 1 of our survey. The survey will provide valuable inputs for us to improve our research efficiency.
Thank you for taking the time to complete this survey
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I'm interesting..
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Hello all,
I've detected selection using different methods. I am here showing example CLR method.
What I did is I selected position that have 1% highest CLR value (see picture). and crossed the position with the annotation and I got 1200 genes.
imagine that MYB transcription factor was in the list of candidate region that are under selection.
There is a probably several hundreds of MYB in the genome, so it's very likely that I can find them in the peaks by chance.
How would you really say this gene was under selection if it's at the end is a matter of chance?
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Ideally you would need to simulate your data under the assumption of neutrality or selection under a relevant demographic scenario, then run the test on the simulated datasets to estimate the rates of false positives and false negatives given a threshold. A software like SliM3, msms or discoal can be used to perform these simulations. Comparing the results from different approaches as suggested earlier is also valuable.
Once you have your list of genomic windows, you might want to perform permutation tests to see how likely it is that you detect MYB by chance given that you have n windows classified as selected. The R package regioneR may be helpful for that.
Good luck!
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Has anyone conducted a Puromycin kill curve on the mouse ovarian cancer ID8 cell line? I will be needing to do one before transfection, and am trying to decide the concentrations to vary treatment at. What concentrations have worked for you?
Thanks in advance.
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I performed my own kill curve analysis using this Lentivirus: https://shop.essenbioscience.com/products/nuclight-red-lentivirus-reagent-ef1a-puro
Concentrations were 0, 2, 5, and 10ug/mL Puromycin. 2ug concentration was ideal in this scenario, though 5 and 10 work as well given more time
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What are the main topics, researched currently in the field of preferences? What are the more relevant open questions? Are the general definition of preferences among them (or equivalent: is there any attempt to create the foundations of the Unified Theory of preferences?).
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@Mubashar Hussain Shah Yes, questionnaires are tools for obtaining specific information from some fields of study. But I think, It is necessary to have a general "picture" of the researched area, in order to determine relevant components, their relation. That can be got by means of some kind of "brainstorming", where people expose their ideas around the topics. And discussions can act as a mean for that aim. On that basis, the researcher can identified some trends, regularities, structures, functionalities, which can be detailed later, using other methods, techniques and tools.
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I am not getting which part od data is used as PCA components... How to use sensing data for pCA anaysis
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i'm interesting and following the answers
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Hi!
I am trying to select the lowest amount of blasticidin needed for selection in murine primary neurons. I have tried concentrations from 1-8 ug/ml and had no difference in the fitness between the cells. The cells did appear dead, the axons were disintegrating but the cells didnt actually detach from the wells.
I am not sure what to make out of this, could I use blasticidin for selection and passage the cells & count on that the dead cells wont attach but that the live ones will?
Any input would be appreciated.
Best,
Linn
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Hi Prasanth and Andreas,
I will provide more info on the experimental setting. So I am working on wild type mice and the neurons are first isolated and plated. Afterwards I am aiming to transfect them with 1) pX330 plasmids expressing cas9 and the gRNA for my specific target and 2) a selection vector harboring the sequence that the gRNA should recognize and cut. It also contains a frameshifted non-functional blasticidin resistance gene. When the cas9 cuts the sequence on the plasmid a frameshift will repair the blasticidin gene.
Before starting the experiment I want to find out which is the lowest concentration of blasticidin needed to kill cells without blasticidin resistancy. I tried concentrations ranging from 1-8 ug/ml and they all had their axons degrading and looked dead or dying atleast but did not detach from the well.
In this case, can I trust that this kind of selection would work? That when replating them the transfected neuron with the resistance gene would again attach in the new well but that the dead ones would float? Or should I just go higher in blasticidin resistance risking toxicity to my transfected cells?
Best,
Linn
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I have done selection puromycin 24 hours after infected and 48 hours after infected to the cell F1 B16. Then I used 400 ul dan 200 ul  pBabe.puro.cmv andpcl ampho to infected the cell, but after selection 3 days, all cells died, does it mean that there were problem with retrovirus product?
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I normally added puromycin after 48 hours of post-transfection,.
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Please, I'm looking for some Methods/Tools of the Learning Environments (LMS...) Qualification/Selection....
Many Thanks in advance.
Best Regards.
Yassine Zarouk
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Many thanks dear Michael for your valuable answer.
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Adaptations correspond to physiological ranges (reaction norms, somatic adaptations). According to the theory of facilitated variation, such dynamic physiological restorations of the phenotype in response of variable environmental conditions are the outcome of genetic constraints (e.g. plasticity and robustness of developmental pathways). Therefore, when somatic adaptation occurs, exposing the phenotype to different selective conditions, physiological ranges can be "easily" shifted (i.e. their evolutionary shift is facilitated) by mutation, or genetic reassortments from the existing variability in the population (Baldwinian evolution). In other words, one of the key characteristics of adaptations would be their evolvability, or to say this with the words of Gould and Vrba (1982), "cooptability for fitness". Evolvability can thus be strongly conserved at the level of core molecular processes. Adaptations would then be selected to be both physiologically adaptable, i.e. to function in "a range of ways" in response to changed conditions ("dynamic restoration" or somatic adaptation), and to be evolvable. In other words, the "cooptability for fitness" would be under selection.
In my view, this idea implies that all adaptations at the organismal level should be partly selected to be "preaptations" (sensu Gould and Vrba 1982, Paleobiology), i.e. structures that retain the potential to enhance fitness (adaptive function) in variable conditions. Gould (2002, the structure of evolutionary theory) suggested that this selection should act at higher hierarchical level (species selection). However, the fact that adaptations that are selected in specific conditions are also selected to be physiologically modifiable, or to function in “a range of ways”, would make them likely to have fitness-increasing effects (aptations) that are not those they were selected for during their historical genesis, i.e. to become exaptations. Could this be a bet-hedging strategy also selected at organismal level?
That is, exaptations would also have a non-random origin (contra Gould & Vrba 1982), while this does not rule out the possibility of non-aptations as a possible source of exaptations. In this scenario, exaptations from nonaptations (spandrels s.s.) would be less frequent than exaptations from previous adaptations. Note also that the measurable adaptations are a subset of the extant ones, due to the overall scarcity of available historical data.
I will often modify my comments.
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Gianluca,
Thanks for the feedback. My comments below:
1. Pluralism in the MS just means acknowledging measured contributions of the main evolutionary forces: selection, drift, gene flow and mutation.
But there is no mention of mechanisms for the origin of mutation and their spread through populations without selection, drift, or gene flow.
2. Either a structure has an effect on the fitness of the organism, then being either maladaptive or adaptive, or it hasn't, thus being non(ad)aptive. In the latter case, it just does not have any function (neutral).
If you wish to define function that way.
3. Exaptations (shifts of function from either an adaptation or a nonaptation) are real stuff, not dreams.
Not so sure about that.
4. Gene duplications, pseudogenes and genetic shifts of functions are the results of historical events, not dreams.
Sure, but the dreaming comes in when people invoke ‘selective pressures’ or other such without any evidence.
5. Bird feathers are …the end result of a historical process made of contingencies and interactions between biological systems and environments:
true of anything (and anyway, a feature is really two feathers in one)
6. Gould ….. aimed to contrast adaptationism by reinforcing structuralist themes, which seems quite the opposite of what you're saying.
OK. Although I think he just further muddied the waters of Darwinian evolution. But that is just a personal opinion.
Cheers, John
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How to select research topic in computer science ?
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Your question is very wide and abroad from a research idea. See, science and specifically computer science has multiple disciplines. Each one tries to solve a wide range of problems, for example, image processing, parallel processing, operating systems, artificial intelligent and so on. In each one, there are many (may be more than 10 ) subfields, which application may be used into another disciplines (such as AI-> Machine Learning-> classification-> disease diagnosis !).
What I think you should do is the following - if you are talented and hardworker, and motivated to research big questions:
1- Target a question , ask as much as possible, with the time you will ask for little effective questions ;-)
2- Check available solutions and make either official literature review or for your own notes.
3- Explore thoughts other than performance.
4- Come up with your own thought to solve the question.
5- Work on performance and other related things.
Wish that helps
All the best
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I calculated allele frequency classes and number of alleles (from microsat data) to infer selection/demography of a population. I experienced that intermediate and high frequency alleles are lack. There is no sign of recent bottleneck because I have high numbers at low frequency class. May I experience high geneflow or large scale drift as cause distortion? Please suggest articles on the topic to explain.
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Allele frequency largely depend on the choice of your markers per se. It is difficult to make any conclusion without further information on the number of markers you are using, their repartition across the genome, and so on... What about HW disequilibrium?
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I have 800 plants each for two turmeric varieties in M1V2 generation. I have found that many plants have undesirable characters. I am aiming for simultaneous improvement in curcumin, yield and desirable rhizome characters, In turmeric, yield is associated with plant height, leaf size, number and tillers apart from rhizome characters. I want to select certain mutants in this generation. What is the best strategy for selecting the plants as I wish to analyze for curcumin content in M1V3 generation without losing variability.
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Potentially beneficial recessive mutations will hidden by dominant wild type alleles, unless you can find a way to self the crop.
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Hi everyone.
My lab bought a stable MDA-MB-231/Cas9 cell-line. The selection antibiotic is hygromycin. In the data-sheet, they say that for subculture, I should replace the selection medium with selection-free medium for up to 6 hours. Then I should rince with PBS and trypsinize my cells and split them in 1/2 : 1/4 ratio.
I don't understand why replacing selection medium with free-selection medium is asked for a simple passage...
Does someone have experience with stable cell-lines and can explain this to me?
Thank you in advance!
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I would have loved to help, but i dont know
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I am working on a recombinant protein that belongs to YjgF/Yer057p/UK114 family. I want to know the similarity of my protein with other membrs of this family. Which database i can use, and whar would be the selection criteria for best match ?
I want to create a figure like mentioned in this paper
Many Thanks
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Protein family refers to a group of structurally similar proteins which are mutually evolutionary and encoded in corresponding gene families.
A classification of proteins in families due to their amino acid sequence and the architecture of the sequence-internal protein domains helps in the theoretical understanding of the evolutionary development of these protein families.
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I'm currently studying tests that predict performance in air force school. But the result is kind of disappointing because the tests (there are 25 tests) only predict 35% of the variation of performance in air school. I need papers on study that i mentioned above to show that besides the result of my study, there has to be a reduction number of tests for efficiency. Thank you.  
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Predicting 35% of the variance is no small feat! That implies a correlation between test results and later performance of about r = .60. Given that many factors contribute to one's success (not to mention randomness in the ratings), that's huge.
The general rule is that if you have a battery of valid tests and you start to take tests out, your predictions will become less accurate. More measurements means more accurate predictions.
As for anxiety and fatigue - well, if a person tends to choke under pressure or quickly get too tired to function, that person probably won't make a very good pilot. Think about it.
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What would be the confidence level of points selection for the quantification of area under a signal ?
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area of lightining
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Hi.
When i do a modal test on any structures.
So, How many can i select number of measurement points? 
How can i select locations to put sensors? 
And, the end, what does they depend on?
Thank you.
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Thank you so much. Mr. Heinz Dorr.
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I want to test and compare the activity of a rhamnolipid and a sophorolipid sample. Is it essential to test the same range of concentrations for both biosurfactants, as both might have different effective concentrations?
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Thank you
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Hi
I was informed you cited one of my articles - from the one selected I thought the letter addd may also provide some info.  Please excuse if not relevant.
Regards
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Thanks
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 what is the selectable marker for pSG5 vector?
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Hi,
pSG5-FLAG-CaMKKbeta rat S100A, S495A and S511A (Plasmid #33320)Insert: Calcium/Calmodulin dependent protein kinase kinase beta ( Camkk2 Rat )
Tags: FLAG
Expression: Mammalian
Mutation: S99A, S494A, S510A
Use:
Deposited by: Anthony Means
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Every time this is an issue arising while calculating the yield. Two different kinds of results are coming with two different approaches
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Any calculation that involves lesser degree of dilution will be always be more accurate . For example , net plot yield converted into per hectare yield will be more accurate compared to per hectare yield , based on yield parameters of few plants in a given plot (since  you dont  consider the yield translation to all plants in a given plot )  , then converted into yield per hectare ... For sure , two different results will come up ..
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Dear ALL,
i was wondering if somebody with experience can recommend the optimal conditions (in terms of concentration and time of incubation) of Puromycin selection for immortalized human bone marrow MSCs ?
Thanks for your help
Regards
Laura Macri-Pellizzeri
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Thanks for your help Anupama.
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Dear researchers, what variables would be possible to fill the gap in job analysis, selection, personality and job performance relationship?
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wow thanks a lot Mr. Sébastien Fernandez... bless you :)
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I want to understand the relationship between discretization and selection of element. what is the significance of order element?
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First order elements suffer from shear locking (if fully integrated) or hourglassing (with reduced integration) and may suffer from volumetric locking.
If your solution is expected to be smooth, second-order is usually a better choice. Second-order elements may have problems in contact and when deformation is very severe.
Details also depend on your FE software because each program has a different selection of elements.
Any reasonable introduction to FE should discuss the implications of this choice in detail.
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Dear All, 
How do you determine which potential range to sweep in a potentiodynamic Tafel scan?
How would you determine the corrosion potential for Titanium and its alloys?
Thank you Very much.
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Historically, we typically used three things: (1) OCP measurements (as discussed above), (2) electrochemical equilibrium or E-pH diagrams (aka, Pourbaix Diagrams), and (3) cyclic voltammograms (CVs, from below hydrogen evolution to above oxygen evolution at a high scan rate). However, it really depends on what you want to know (measure). If you want to do linear polarization resistance (LPR) to estimate corrosion rates via the Stern-Geary approximation, then only +/- 50mV wrt OCP should be sufficient. For estimation of Tafel kinetics, a large range is required, as discussed above (OCP +/- 250mV), if you want to know about the passive current density and passive film breakdown, then you want to scan to potentials above those that would cause pitting in a halide containing solution. However, if the pitting potential is greater then the oxygen evolution potential, you will not be able to measure it accurately. To measure the OCP, all you need is a reference electrode and a meter with an input impedance of greater than 1E10 ohms. Any electrochemical reaction with a fixed potential wrt the hydrogen evolution reaction can be used as a reference electrode, but they are commercially available and inexpensive. Of course, you can readily make your own (e.g. see Ives and Janz, 1961). Most commercial voltmeters have an input impedance of 1E6 ohms and require too much current for accurate measurements from a reference electrode. However, you can easily fabricate a unity gain buffer amp (aka voltage follower) from inexpensive op-amps. Any introductory book on op-amp circuit design will show you how. I believe that Sawyer (Sawyer DT, Sobkowiak A, Roberts JL (1995) Electrochemistry for Chemists (J. Wiley & Sons, Inc., New York), Vol. 2nd Ed.) provides details on how to set up an electrochemical experiment.   
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I am looking for optimum Carrier frequency for sinusoidal pulse width modulation for reducing THD?Does selection of frequency convert SPWM into SHE-PWM?
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Dear Ranvir,
The ideal, as mentioned by Mr. Arpan, is to use the maximum switching frequency possible in order to reduce the harmonics.
However, the limitation is the temperature of the semiconductors switches. Higher switching frequencies mean higher switching losses. You'll have to estimate the total losses (switching and conduction ones) and semiconductor junction temperatures according to the information provided in the switches data sheet (Eon, Eoff, Erec, VCEsat, Vf, Rthj-c, Rthc-s) and the heatsink and cooling system you are intended to use (Rths-a).Then you'll be able to compare with the maximum allowed operation temperature of the junction  (Tvj, usually 125 ºC).
The process is iterative, but a simple MATLAB script  should solve your problem. 
I hope this information can help you in your design.
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while the preparation of sample by using powder metallurgy what factors are taken in consideration to finalize the percentage of the base material and reinforcements.
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The first factor is the planned application and type of loading. Most commonly the powder metallurgy composites are intended as wear resistant materials. Therefore main factors will be hardness and fracture toughness which in their turn are determined by the hardness and fracture toughness of hard component as well as the ductility and wetting ability of the matrix metal. Also the structurally stable matrix should be selected properly to prevent pulling out the hard particles during wear
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How to improve the inheritance of pigeons, selection or crossbreeding? 
whats most important traits we study? Can we use molecular markers in enhancement? What is the suitably markers we use?
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Dear Dr Esteftah ElKomy,
greetings, many thanks for your question. It is interesting to answer for your question from breeders "plant breeding" point of view.
I think if you have a wide population you can select first individuals "selection"
Then try make wide crosses between them and neglect the self crossing as make inbreeding depression "you will face low yield and growth" 
and try select for economic traits that important for consumers 
DNA markers is the best tools and you need to select the MAS marker assisted selection i.e,. SSRs, SNPs, ESTs
for enhancement the DNA markers I think you could find that in previous work.
with best regards
Khaled
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Like in C-H activation reaction s if I looking for a meta selective reaction, then how will I determine meta:other products from nmr of reaction mixture?
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First, you have to analyze the splitting patterns and J constants in order to distinguish among the proton signals of the meta-, ortho- and para- isomers. After that, you will be able to integrate and compare the relative integration and thus knowing the proportion. 
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In term of the selection, analysis and as approach, what is the difference between these approaches Grounded theory, Ethnography and Phenomenology ? 
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Phenomenology is a paradigm, ethnography is a domain of knowledge and GT is a method and its product of knowledge. So, I can approach a theme of ethnography (customs, traditions, values of ethnic?- groups) from a phenomenological perspective and I can develop a GT on the chosen theme.
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I used PDA and Swab cotton techniques to isolate Pyricularia but till now not successful. How may I start my job to isolate Pyricularia from rice sample?
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Hello Viji I need full protocol. From starting to result. Thank you.I will try MEA media
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how i can solve the error:the selected primary  variable is not avvailable in the current frame in the abaqus
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hi Leila
this error could be due to divergence or very slow convergence or using user subroutine UMAT with some mistakes.
explain more about your model, so may be able to help you
regards
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Now I try to select animate => save as=> .avi
but after i try to open this file with window media player, it showed non-movement.
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When you click save as there is a little drop down menu with different format types. The options (button with 3 dots and some lines, next to the drop down menu) allows you to change the codec. When I've needed to save videos for use in powerpoint in the past I've just tried several different file and codec types until I get something that plays. It usually doesn't take more than a few minutes to get something that works.
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I work on a multi-objective problem and I am preparing a Pareto front. Among the solutions I want to select the best solution. I know there are many methods such as min-max or fuzzy methods. Does anyone know a better method to find the best solution? Or does anyone know any report or paper that compares the different methods in this context?
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NSGA-II is the best for arriving pareto front and to find the best compromising solution among the available pareto solutions use methods like TOPSIS, AHP, PROMOTHEE etc
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Knowing that the challenges that face rural telecoms planners are complex and multi-dimensional.
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Hello Yousef,
That is not an easy question to answer. I think it would be best to define a project and study different aspects including environmental, social, technological and economic to make sure all stakeholders benefit. We worked on a similar project, evaluating the impacts of superfast broadband in rural areas of Gloucestershire and Herefordshire. We worked with BT and Fastershire, I cannot share more info due to the confidentiality but it would be a good idea to contact(email) Prof. Ali Parsa in (Dean of School of Real Estate and Land Management at the Royal Agricultural University, UK or simply ask your question in the project on our profile in Researchgate (there are some updates by our team) so he can see it and probably can share some information with you.
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modellers
ecologists
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You need to run several models with different parameters combinations and you need the results in raw format (nor logistic or cumulative) . You need to create a script file (*.csv ) with the complete route to the occurrences points,model results and the lambdas for each run model.
Something like this:
C:\documentos\papers_chile\maxent\new_paper\maxent\puntos_belloto\points_belloto.csv,C:\documentos\papers_chile\maxent\new_paper\maxent\results\belloto\autofeatures\Beilschmiedia_miersii.asc, C:\documentos\papers_chile\maxent\new_paper\maxent\results\ belloto\autofeatures\Beilschmiedia_miersii.lambdas
C:\documentos\papers_chile\maxent\new_paper\maxent\puntos_belloto\points_belloto.csv,C:\documentos\papers_chile\maxent\new_paper\maxent\results\ belloto\H_thr_1\Beilschmiedia_miersii.asc, C:\documentos\papers_chile\maxent\new_paper\maxent\results\ belloto\H_thr_1\Beilschmiedia_miersii.lambdas
...And so on. 
When you are done building the *.csv file, you go to ENMTOOLS to the model selection menu and point to the file you just created. I usually get a couple of errors because of typos in the *.csv file. Do not panic, just check your file. 
A detailed tutorial on how to do this is in the manual provided with ENMTOOLS. 
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dr. sahbir H. Wani
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Depends on many factors;
1.  Extraction method.
2.  Detector response
3.  Sample matrix.
4.  Other..
Your question is MUCH to general to answer!
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The reasons for choosing target species.
Thanks!
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Dear Ren,
That really depends on your objectives, costs, availability of data on species, and many other factors. I think you should clarify your question more.
Hope that helps
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Why we use the reciprocal of the probability of being selected into survey as the weighting sample?
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Abdelbaset -
When you use probability-of-selection design-based methods for sampling, generally for finite populations, though being finite is not always necessary, the estimation technique is determined by the randomized sampling design.  There is a school of thought which says this is too artificial, and regression modeling of the population is important in itself, not just for helping to establish the best probability-based design.  There is an interesting review of these thoughts here:
    Ken Brewer's Waksberg Award article: 
.....
    Brewer, K.R.W. (2014), “Three controversies in the history of survey sampling,” Survey Methodology,
(December 2013/January 2014), Vol 39, No 2, pp. 249-262. Statistics Canada, Catalogue No. 12-001-X.
    He believed in using probability sampling and models together, but he explains the different approaches, the pros and cons. 
....
In your case, you appear to be referring to the most popular of the rigorous quantitative techniques for finite population sampling:  a randomized design, where the probabilities of selection are used in estimates of totals, means, and sometimes proportions, and estimates of variance and bias.  The simplest case is discussed in my encyclopedia entry here:
For a finite population there is this consideration:
.............
To understand much of this better, it may be helpful for you to study the Horvitz-Thompson estimator, as it may convey the connection between randomized selection of a sample and the use in estimating a total better than others:
If you are new to all of this, however, you might first look at simple random sampling:
I think that these Pennsylvania State University online materials are often very good.  Here, you may just want to start with this:
Best wishes - Jim
PS -  When using auxiliary data to help improve estimates, one may use "calibration."  In this context, "calibration" means that the survey (design-based) weights are modified to form calibration weights, which may also include regression weights.  You can find a few notes on the concept of calibration weights in the following:
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I only want my participants to agree or disagree with a statement. '1' for "strongly disagree", '2' for "disagree", '4' for "agree", '5' for "strongly agree".
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I agree with the above explanations. Neutral value should not be removed to maintain the credibility of the scale and reproducibility of results.
Regards 
SM Najim
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My simulation has 6 Process Modules, each with 1 resource and I used the Failure Module to set the up-time and downtime for each resource.
For the entire system, 1 resource per month is suppose to fail and the selection of the resource to fail is random.
Does Arena have any ability to randomly allocate failure to resources?
Do you know how I can go about it?
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Onome,
From the Failure module, you can choose the type of failure as count, and then choose the probability distribution you want from every resource to follow.
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how can we decide the selection of a model for our analysis? because sometimes it really just seem challenging to select a best model for analysis,  what should be the criteria to select any model ?
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I've used JmodelTest in the past and have found it helpful. Once the analysis is finished, the software will compile the results into a summary table. In the table, you can use multiple scores in different columns to identify the most relevant model for your dataset.
It is important to store this information since not all models and parameters are accessible in the phylogenetic tree generation programs.
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I need moment and axial force time histories along a tunnel liner for an earthquake excitation problem. When selecting points for curves prior to a dynamic calculation, points selected on structural elements (such as a plate element) record the displacements and accelerations at each time step but not the forces. The only way I have found to get around this is to store the results for every time step of the dynamic analysis for the entire model including all of the soil elements. Doing this allows me to select points for force time histories along the tunnel liner after the calculation is complete. However, this results in a huge amount of data (50 GB per run for my simple 2D model). It also makes the curves program take a long time to start up. Has anyone found a more efficient way to get time history data from structural elements when using the Plaxis 2D 2016 dynamics module?
Thanks!
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Hi Patrick,
Unfortunately a disadvantage of Plaxis is this problem. But you can solve problem with an innovative solution, if you want axial and bending moment in the plate element:
- select some stress points for monitoring
- after completed your model, extract your history in the excel file
- use this formula based on strength material law: 
Sigma1=(My/I)+(Axial force/A)
Sigma3= (My/I)-(Axial force/A)
you have two equations with two unknown parameters.
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I have 81 samples of essential oil obtained by 3*3 levels and 3 treatment for each level. Can anybody please help me know how to select between these 81 samples for GC/MSS analysis?
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Dear Dr Razzeghi
please tell me how and for what problem you want helping?
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Dear colleagues,
I would like to share with you the list of predatory publishers. Is this list applies to the entire scientific community? And the criteria of selection are unanimously adopted or not?
Thank you in advance for all your contributions
Best regards,
A. DEGAICHIA
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Dear Amor
Every day we receive a number of emails from Journal have no history invited us to publish a paper, in spite we hope to encourage the new Journals to appear  and contribute in publishing the scientific research results which lead to scientific development . But the appearance of not reviewed paper from this Journal and publish wrong data may lead to harmful confusion to the wide range of researchers, so we must be careful when we chose Journal to publish or to take reference. I hope to good new Journals to have shining future and be a stone in the scientific building .
Predatory publishers aimed to quick economic benefits without care for the quality of articles and they ask high charges for publishing.
In another hand, maybe we read a random list of Journals described as predatory within a process of competition between old and new publishers.
Good Luck
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how does one decide on the skills to be tested in an assessment. I am looking for possible methods that will help selecting appropriate skills to be tested and not the skills per se. additionally what would be the source of creating hypothetical situations / encounters that one may use in assessments of medical students . thanks 
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thank you all so much! Was big help ! 
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Its a general question. Asked to understand in which selection is most effective
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It is possible to observe transgressive segregants in any segregating generation.
Transgressive segregation occurs due to the accumulation of alleles with positive (or negative) effect upon the trait being measured, either through additivity, dominance, or epistasis, such that an individual possessing a particular combination of alleles will display a phenotype beyond the range observed in the parents of the original cross. Since such favorable combinations of alleles can occur in any generation, transgressive segregation can be observed in any segregating generation.
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Dear all, I am looking for a web tool to calculate the evolutionary selection pressure of a gene. Any suggstions please? 
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Thanks Stalin
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In an educational intervention study, for the process of randomisation can we use the teacher's reference as categorisation, that is when we want to select randomly can we use the subject teachers opinion for  dividing the sample into low level learner, average level learner and high level learner as criterion for sample selection.
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I would like to select 2 metals, and use one of them as sacrificial layer while keeping the other one to act as an electrode for my device. no preference in terms of properties is needed and it just needs to have enough adhesion to the glass. metals are not touching and are placed at different parts of a glass substrate. I have access to a sputtering machine with various metal targets like: Cu, Al, Ti, Cr, Co, Ni, W, Nb, and Ta.
I've initially used Al as the electrode and Cu and the sacrificial material but overnight exposure to APS-100 copper etchant dissolved the Al layer. 
Any helps or thoughts is highly appreciated. 
(N.B: for various reasons, I'm limited to the use of a metal layer as sacrificial layer. polymers, various ceramics, etc. is not an option for me.)
Regards,
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Thanks everyone for your helpful answers. I switched to Tantalum as electrode material and the problem is solved.
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suggest me which orthogonal array suitable in taguchi methods for 3 levels and 4 factors (3 speeds, 3 feeds, 3 doc, 3 different coolants)
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L9 Taguchi optimization with title (2015) "Clove oil nanoemulsion as an effective antibacterial agent: Taguchi optimization. Desalination and water treatment, Taylor & Francis, Impact Factor: 1.173, ISSN: 1944-3994, DOI: 10.1080/19443994.2015.1092893” is available via the link below!
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Hi
I need to label 2 branches in a phylogenetic tree. Can somebody tell me if I have labelled the branches in these newick trees correctly. I need to use these trees in PAML to see positive selection in these branches. I have labelled the node would that be different to labelling the branches? The phylogenetic tree is attached
Thank you very much
chandima
Branch 2
  (OsHKT11:0.587799,OsHKT13:0.3677219999999999,((OsHKT15:0.502488,TmHKT141:0.695629):0.25236000000000014,((OsHKt21:0.17423499999999992,(L823634:0.10184700000000002,((21acDNA:0.02246400000000004,21d:0.023975999999999997):0.01638699999999993,(21BcDNA:0.02215900000000004,AM00005:0.0511569999999999):0.013416000000000095):0.050529999999999964):0.07750600000000007):0.24453400000000003,((Sb251700:0.07577699999999998,ZM2G1356:0.1177109999999999):0.37270800000000004,((OsHKT23:0.02419299999999991,OsHKT24:0.021389000000000102):0.16342100000000004,((Bra34210:0.0,L100846:0.0):0.08045600000000008,(22BcDNA:0.02155499999999999,((22AcDNA:0.01854099999999992,22DcDNA:0.009038000000000102):0.01695599999999997,AK37002:0.03680799999999995):0.005055999999999949):0.06552399999999992):0.03808900000000004):0.099661)#1:0.17251799999999995):0.3580960000000002):0.3620859999999999);
 Branch 1
  (OsHKT11:0.587799,OsHKT13:0.3677219999999999,((OsHKT15:0.502488,TmHKT141:0.695629):0.25236000000000014,((OsHKt21:0.17423499999999992,(L823634:0.10184700000000002,((21acDNA:0.02246400000000004,21d:0.023975999999999997):0.01638699999999993,(21BcDNA:0.02215900000000004,AM00005:0.0511569999999999):0.013416000000000095):0.050529999999999964):0.07750600000000007) #1:0.24453400000000003,((Sb251700:0.07577699999999998,ZM2G1356:0.1177109999999999):0.37270800000000004,((OsHKT23:0.02419299999999991,OsHKT24:0.021389000000000102):0.16342100000000004,((Bra34210:0.0,L100846:0.0):0.08045600000000008,(22BcDNA:0.02155499999999999,((22AcDNA:0.01854099999999992,22DcDNA:0.009038000000000102):0.01695599999999997,AK37002:0.03680799999999995):0.005055999999999949):0.06552399999999992):0.03808900000000004):0.099661):0.17251799999999995):0.3580960000000002):0.3620859999999999);
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See page 15 of the PAML manual, under the subsection "Tree file format and representations of tree topology". What you have looks correct to me. The manual suggests checking your labeling by loading your tree into TreeView. 
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I am trying to study selection of post-foraging perching tree  by frugivorous birds. 
I have collected perching frequency of bird used tree, and also studied of the number of available trees.
Does anybody have any good suggestions for evaluate tree selection? 
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I've done some selectivity studies (habitat use and diet). My first suggestion is to avoid simply dividing use by availability as this ratio is unbound and biased to small sample sizes and either extreme.i use Jacobs index (based on Jurgen Jacobs Oikos paper from the 1970s. This and Strauss 1974 highlight why their methods are better than straight ratios. If you have data on lots of individual birds, then you can calculate a Jacobs index value for each habitat used by each  individual and then test these against a mean of 0 using t-tests. If not, the chi squared method (as described byJuan) or compositional analysis can be used.
Cheers
Matt
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I have a problem about kemid method.
There are many methods about action research method. Can someone help me to select one method
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The method chosen for action research should first and foremost be a good fit with the context in which the research is being undertaken. Consider the context and participants, along with the ideological orientation of the research. For example, if it is an individual teacher in a classroom investigating aspects of their practice, then a practitioner action research approach fits best. If the research focuses on empowerment in an impoverished community, then principles of participatory action research fit best. It is common for action researchers to 'borrow' elements of different action research approaches that best suit the context in which they are conducting the research. For my doctoral research, I was an outside facilitator of action research who worked with educators in two early years settings on a topic of my choosing. In this sense, it was important to attend to key principles of collaborative action research, but also address the role of an external facilitator. Of key importance is that the action research cycles of questioning, gathering data, reflecting and deciding on a course of action are enacted systemically in the context in which you are researching. Different elements of action research may come in to play at different times depending on the context, the participants and the orientation of the topic investigated.
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Any experience with the removal of Potassium from salt brine using froth flotation? What would be the ideal operation conditions such as pH, collector concentration etc.?
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Three main methods of potash processing are heavy media separation, flotation, dissolution and crystallization.
Potash mineral flotation done in the saturated medium with aliphatic amines. but dodecyl sodium sulfate one of the anionic collector that use in potash flotation.
To improving of potash flotation with amines, adding 8 to 10 moles alcohol hexyl and octyl improves potash flotation capability significantly. If there are clay in the flotation, the clay absorb amine collectors. De-slimming of clay must be done.
Common frother that use in potash flotation is MIBC (methyl isobutyl carbonyl).
Flotation of the ore is done at neutral pH and ambient saturation.
Chemistry and temperature of saturated solution influenced on the contact angle and thus the flotation capability of KCl and NaCl. 
If the brine temperature increases of 18 to 37°C, the contact angle of potassium chloride, decreased.  Sodium chloride remains constant while the contact angle. 
The contact angle in the greater than 28°C are similar in both mineral. 
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In the social sciences, organizations are assumed to be selected via the processes of natural selection, i.e. some organizations are determined to be less fit than other similar organizations who seek the same resources in a specific area.
My problem with this assumption is that; not that many organizations are really 'similar', not that many interact in a 'population interaction' sense, and very few expereince the 'same' environment. Therefore, it would seem that the process of environmental selection would better explaing the survival or otherwise of an organization. Especially when one considers the process of niche construction playing out and different organizations interacting with their environment in differing ways.
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Dear Colin
Natural selection appear his effects through the viability and fertility of individuals in the population . good genotypes which suitable to the environmental requirements will be high fertility and have good viability so their offspring represent the normal genotype .
In other hand genotypes lived in environment with extreme changes cause mortality or low fertility and may be sterile so they will not contribute in the offspring of the next generation , or contribute in low percent , and referred as abnormal genotypes .
Good Luck
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I need help in running geNORM on qPCR results for 10 housekeeping genes (HKGs). I did run qPCR on 20 different samples (RNA) with 1:100 dilutions. I am not sure whether I need to run qPCR with different dilutions (at least 5) or 1:100 would be enough to run geNORM for analysis of the data for HKGs? Before selecting 1:100 dilution, I run qPCR for 10 HKGs on one RNA template with 6 different dilutions (ten times) and selected 1:100 on the basis of PCR efficiency and R2.
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Dear Sami,
I guess that means you have a qBase+ licence in which case you can get support here.
There's a manual with info on the reference gene validation on page 46 but if that is not clear enough, I've found that the Biogazelle Tech support is pretty good.
Unfortunately, my licence expired so I can't lead you through it step by step.
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In Computing there is often two different ways that a process can be executed, Pre-emptive Selection, or Lazy Selection. In Pre-emptive Selection something is known about the process before selection is done, In Lazy Selection, nothing about the process needs to be known before the selection step because you are selecting among results.
In the Global Neuronal Workspace, it is assumed that Lazy Selection is the operation, and selection happens due to the "Strength" of the signal after processing.
This assumes that there is something about the processing step that determines the "Strength" of the signal so that there is a reason to select.
Theoretically, if there is nothing about the processing step that determines the "Strength" of the signal you would get a "Deadlock" as in other processing systems that must decide between different threads of execution.
Is the Neuronal Workspace theory correct in assuming that there is a
"strength" difference between modules, or is there some other decision making process involved such as Pre-emptive Selection?
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Now for an actual response: it is trivially true that something about the processes that result in conscious experiences require both pre-conscious (or pre-emptive) signals and that the strength of these matter. This is regardless of whether or not a global workspace or global neuronal workspace exists. The pre-emptive part comes from the fact that we cannot be conscious of e.g., visual stimuli without neural firing in the PNS component(s) of the visual system. That the strength of signal matters is somehow trivial and yet complicated. One issue is that there are various theories in neuroscience concerning what a "signal" is. Ignoring action potentials that are nothing other than noise, there exist different theories concerning the nature of how spike trains or more simply action potentials "work". The brain is constantly active. For us to become aware of some visual stimulus, something has to change and unless virtually all of brain research is wrong, that something is mostly or entirely based upon action potentials. However, single action potentials don't really matter. What matters may be the rate at which sequences of action potentials generated by various neurons connected to another neuron's dendrite or dendrites (in terms of the cortex, the plural "dendrites' doesn't quite cut it; we are talking about tens of thousands of dendritic connections or more). Or it may be that the rate doesn't matter but the timing does. Or both. Or neither. Also, the most widely used neural model (the one upon which basically all others are somehow based on) doesn't work via all-or-nothing spikes. And there are other complications.
That said, we can demonstrate the triviality of signal strength by going to the PNS again. Specifically, nociceptors or "pain neurons". Most of the time that we experience pain it is mechanical (this covers everything from bumping your elbow to being having limbs chopped off). There are, however, other types (e.g., chemical and thermal), but there is in particular a rather unique kind of mechanical (presssure) induced pain- the mechanical/pressure pain that we experience due to mechano-insensitive nociceptors. These are interesting and ideal here because unlike most pain signals they do not begin as noxious. In order for mechano-insensitive nociceptors to generate a signal powerful enough to be perceived as painful, there must be an initially non-noxious pressure applied repeatedly and over time (tonic pressure) such that eventually the repetition causes mechano-insensitive nociceptors to encode a signal perceived as pain. Normally, things work the other way around. Stimuli initially perceived as noxious, whether from walking out into the freezing cold from a warm house or being pinched, nociceptors using A-fibers or C-fibers initially send a strong signal. Also, the noxious stimulus generally causes the same or mostly the same nociceptors to fire, and unless the stimulus is significant the repeated activation of these nociceptors will be modulated by the CNS (i..e, the CNS says "stop paying attention to these signals, we're doing fine"). Finally, most of the time signals from these nociceptors aren't consciously experienced.  So we require a sufficiently strong initial signal to experience thermal, chemical, & most mechanical stimuli as noxious, but for mechano-insensitive  nociception we the signals strength is locally modulated by repetition and time (i.e., no signal will be generated locally until the stimulus has been applied locally for a sufficiently long time interval and with a particular regularity).
The question "Is the Neuronal Workspace theory correct in assuming that there is a
"strength" difference between modules, or is there some other decision making process involved such as Pre-emptive Selection?"
Actually involves several questions. First, nothing about the particulars matter if the theory is simply wrong. Second, there must exist these "modules". Third, there is the question of whether or not pre-emptive selection is non-trivial, incompatible with either GW theory or GNW theory, or actually descriptive of the theory. Fourth, there is the question that, granting a suitably non-trivial definition of pre-emptive, is it or are other processes involved in the mechanisms underlying what determines what we consciously experience.
At the moment, I can't see a way in which "pre-emptive" could be defined non-trivially or interpret the way it is defined ("something must be 'known'", which suggests it is already something one is conscious of) such that it isn't paradoxical. Nor am I quite sure how the question actually relates to and distinguishes between GW theory, GNW theory, and "Neuronal Workspace theory". But I don't think much of cognitive theories involving (massive) modularity (in the evolutionary & cognitive psychology sense, i.e., "massive modularity" or extreme domain specificity). Also, as both GW theory and GNW theory require domain general mechanisms, and in fact are rather fundamentally based upon the idea of highly synchronized activity between nonlocal neural populations, I am not sure that how "modules' may play a role in these theories (thought I can imagine ways in which they might).
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I found inconsistent literature on when design effect and finite population correction are used. Some say that that finite pop correction is only useful in random sampling but others just mention % n/N only. Similarly, with a purposive sampling but we select cluster purposively first and then select individuals within each cluster, I know this sampling is potentially biased and is not be able to generalize but wonder if cluster effect is needed in this case 
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Hao - 
The best kind of purposive sampling for continuous data is when you have regressor data on the entire population, and can make use of the variance of the prediction error.  If you could use a reference(s) on that, I can provide it. 
Regardless of your sampling and/or estimation methodology, good stratification can improve accuracy. 
Cheers - Jim   
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I am interested in using this inducible and stable selectable vector in cell culture experiments.
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Yes I do, however, without any luck! I wanted to knock down my GOI using this construct. Initially I used Clontech's shRNA designing online tool and picked up 3 target sequences. With those I developed 3 different constructs, each targeting a separate sequence in the target mRNA. None of them worked! Takara recommends using upto 1ug/ml of Doxycyclin, but I went up to 40 ug/ml without any effect. I also tried to generate stably transfected cell line with this construct. I Initially did a kill curve for G418 and found that for my cells 0.5mg/ml is enough to kill 100% of them. However, once transfected and grown over time, I have cells growing in 1.5mg/ ml G418 without any knock down after treatment with various doses of Doxycyclin for 72 hrs. By the way, I always look for protein expression. Also, the inserts have MluI cut site and all three were cut with MluI, suggesting that I was not working with false positive clones.
Once I ordered some siRNA from Origene for the same GOI. Out of the three that they sent, one of them constantly give me 75-80% KD after 72 hrs. treatment. When I checked the sequence of this particular oligo, surprisingly I found that this one targets the same region as one of the shRNA in the pSingle that I cloned earlier. Target sequences for pSingle constructs were 19 bases long, where as these oligos were 25 bases long, with the first 19 bases from the 5' end matching exactly the sequences for the shRNA. 
This is altogether what my experience is with pSingle.
Gd luck!
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waste management using fuzzy
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In your survey, whatever the attributes you wish to discuss to be treated into fuzzy. Make an appropriate statistical analysis to fix membership values for those attributes. 
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How do we differentiate between positive and negative selection. These two terms sound like they are complementary to each other.
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Positive selection: also called (Darwinian selection) variants that increase in frequency until they fix in the relevant population. The selective pressure that leads to this fixation is termed positive selection.
Negative selection: Also called purifying selection, it means that selection is purging changes that cause deleterious impacts on the fitness of the host.
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I'm asking as I need to run a lot of reactions and am trying to minimize on the cost.. By the way we have the 7500 FAST system.
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Thanks Kelli for replying... Much appreciated
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If the sample size is affected by the response not selected does this affect the level of accuracy of the results?
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The question can be answered only when you specify "how small?". In finite sampling, depending on nature of the population(whether it is homogeneous or heterogeneous) various techniques exist for drawing the samples. One can always decide for optimal size. In field surveys or social surveys, usually if sample size is very large, occurrence of non sampling errors will me more resulting in spurious results.
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I'm wondering as in the first step in case selection is case representation. Any idea how can the case indexing be done? other than just a pointer you do it roughly which points on the main feature within the case?
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Selecting the appropriate attributes that define each case is the most important and hard task to do. Case indexing is the 1st step in the case representation step in in CBR problem solving life cycle.... 
Do any believe case indexing can be better done in anyway than DB technology? Like defining the structure and description of each attribute within the case? Please share your experience.
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Does The MDM system Power per each mode will be the power of single mode divided by the number of modes?To avoid Non-linearity or Fiber fuse.
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Look up this paper:
Electrical and Electronics Engineering: An International Journal (ELELIJ) Vol 3, No 3, August 2014, DOI : 10.14810/elelij.2014.3304 43
INVESTIGATIONS WITH MODE DIVISION MULTIPLEXED TRANSMISSION
Devendra Kr.Tripathi*, Pallavi Singh, N.K.Shukla, H.K.Dixit