Wednesday 28 February 2018

Rate of cell division in humans



On average, how many cells divide each day in a human being? How long does a cell wait before dividing itself ?


I have tried to look on the internet but surprisingly the answer is difficult to find..



Answer



My first thought was this:


According to Wikipedia (citation provided)



Between 50 and 70 billion cells die each day due to apoptosis in the average human adult. For an average child between the ages of 8 and 14, approximately 20 billion to 30 billion cells die a day.



For every cell that dies a new one must be born, so there must be at least between 50 and 70 billion cell divisions to replenish these cells in an adult human (no net growth).


But then I remembered erythrocytes. Wikipedia again:




Adult humans have roughly 2–3 × 1013 (20–30 trillion) red blood cells at any given time, comprising approximately one quarter of the total human body cell number



and...



these cells live in blood circulation for about 100 to 120 days



So approximately 1% of erythrocytes are destroyed every day and must be replaced. That's 2-3 x 1011 cells formed every day, which dwarfs the cells replenished due to apoptosis (5 - 7 x 109).



Through this process [erythropoiesis] erythrocytes are continuously produced in the red bone marrow of large bones, at a rate of about 2 million per second in a healthy adult.




phd - Graduate school and students with learning disabilities


I'm looking to apply to a Ph.D program in mathematics. I was going to apply last year, but ended up getting cold feet because I wasn't sure how having a learning disability would affect (1) being admitted (application process), and (2) if I were to had been so fortunate, whether faculty would treat me any differently (be less willing to take me on as one of their students, for example). I especially worry about (2) because I have experienced a few awkward situations with professors as an undergrad (at the university I attended, it was quite uncommon to find a student with a learning disability studying maths).


For the sake of simplifying the issue, let's assume that my understanding of mathematics is roughly equivalent to those who I would be "competing" against in the application process.



  1. Should I explain my situation in my application and can it affect my chances of getting in? (I do not mean to ask if it is legal or not).

  2. How are graduate students with disabilities seen from a professor's point of view?

  3. What would happen if I were to need a year or two more than other students needed to finish their doctorate? Would they consider this matter in the admission process? What about funding?



I apologize if I don't provide a clearer picture, but I'm not very comfortable providing too much information. I would really appreciate hearing from those in academia (though others are obviously more than welcome to provide responses) who have either personally been through a similar situation or dealt with a student with a learning disability. Lastly, please don't worry about "softening" any responses, I'd like responses to be as honest as possible.




Update: I am looking into programs both in Europe and in the United States (there are programs in both countries I would very much like to attend). I've noticed some programs in the United States state on their website they would like students to finish in 4 years (perhaps this is due to economic constraints in recent years).




extremophiles - What's the biggest obligate anaerobic organism discovered till now?


Beside many anaerobic single cell organisms, there are some annelid worms that are obligate anaerobic at least in their early development stages. Probably, due to low concentration levels in nature, some of the other respiration methods (like uranium or iron reduction) can limit the maximum size an organism will grow. Given the lower energy level extracted compared to the oxygen respiration, what size limits enforces the sulfate, sulfur or methanogenesis respiration? What's the biggest discovered organism, extinct or alive, that is obligate anaerobic?



Answer



There are three worms which have been found in the sediment of the mediterranean seafloor, which not only live without oxygen but also do not tolerate the exposure to oxygen. They belong to the metazoans, for more details see either the report (reference 1) or the original article (reference 2). They reach a size og about 1mm.


References:



  1. Scientists discover first multicellular life that doesn't need oxygen

  2. The first metazoa living in permanently anoxic conditions


evolution - Gender and age-specific mutation rate in plants


Background


General concept


According to Cochran and Harpending (2013), mothers transmits on average a number $x$ of new mutations to their offspring. This number $x$ is independent of the age of the Mother. Fathers, however transmit a number of new mutations to their offsprings that is very much dependent on the age of the father for developmental reasons. In short (and probably poorly stated due to my lack of knowledge in physiology), spermatogenesis is a continuous process that occurs during the lifetime of the individual while the creation of ovules occurs once and are then stocked.


Human example


According to Kong et al.(2012), in humans the mother transmit on average $15$ new mutations and the father transmit on average $25 + 2(g-20)\space\space$ new mutations, where $g$ is the age of the father. For example, a 30-year-old father transmits $25 + 2(30-20) = 45\space\space$ new mutations. (This approximation holds only for men older than 20 years).


Question: How about plants?




  • Do you think that in plants too, male and female organs (or individuals for (gyno/andro)diocious species and eventually sequential hermophroditic species) transmit a different number of new mutations for similar developmental reasons?





  • Do you think that in plants the number of new mutations is age-dependent in males but not in females alike in humans?




  • Do we have any estimate of the sex and age-specific number of new mutations transmitted in plants?





Answer



From Whittle and Johnston (2006):




Specifically, human epidemiological data and/or nucleotide substitution rates of selectively neutral DNA (which equals the mutation rate, Kimura, 1983; Miyata et al., 1987) have shown that more mutations occur in the male than in the female germ line for numerous animal taxa (e.g. humans, mice, chickens, and sheep) and in older rather than younger human males, patterns that each agree with the cell-division hypothesis (i.e. more DNA replications in males and in particular older males; Penrose, 1955; Risch et al., 1987; Becker et al., 1996; Moloney et al., 1996; Li, 1997; Green et al., 1999; Crow, 2000; Li et al., 2002; Makova and Li, 2002). Other data, however, have indicated that the mutation bias reported relative to gender and male age are not generally well correlated with the number of germ cell divisions and that other factors could explain these trends, such as methylation patterns, differential repair, metabolic rates, and preferential transmission of mutations to pro- geny from older males (Risch et al., 1987; Martin and Palumbi, 1993; Drost and Lee, 1995; Bromham et al., 1996; Hurst and Ellegren, 1998; Martin, 1999; Crow, 2000; Huttley et al., 2000; McVean, 2000; Sommer et al., 2001;Hebert et al., 2002; Hurst and Ellegren, 2002; Kumar and Subramanian, 2002; Li et al., 2002; Bartosch-Harlid et al., 2003).



…so basically we don't really know whether difference in gametogenesis between males and females lead to more sex and age-specific mutation rate!


However, Whittle and Johnston (2006) in reviewing many articles also show that old seeds are more likely to carry chromosomal aberration and that old individuals are more likely because of the instability of their metabolism to transmit more mutations but that would be sex independent and would not result in different gametogenesis as I was expecting in asking this question. Also the kind of mutations that become more frequent with all parents are chromosomal abnormalities or important deletion but not so much substitutions (which was also what I was interested in when asking).


Thanks @DevashishDas for finding this article. This other one was interesting as well.


molecular biology - The GUG start codon in E. coli: identity of initiating tRNA and efficiency of translation


Translation in E. coli is usually initiated at an AUG codon, which encodes the amino acid methionine. In some cases, however, the start codon is GUG, which normally encodes valine. If GUG is used as the start codon, is a tRNA charged with methionine used or one charged with valine, and does the use of GUG as a start codon affect the efficiency of translation?



Answer



The NCBI translation table translates all alternative start sites as methionines. To my understanding, all translation is initiated by the fMet-tRNA. I don't know if there are any exceptions to this rule.


Regarding translation efficiency, I only found a 1985 paper in PNAS (Reddy et al, PNAS 82:5656-60), in which they compared the translation efficiency of adenilate cyclase's own UUG start vs GUG or AUG, obtaining a translation ratio 1:2:6 UUG:GUG:AUG, suggesting that AUG is the most efficient one, followed by GUG. Also, Romero and Garcia, FEMS microbiology letters 84:325-330 (1991) compared the efficiency of AUG vs AUC, AUA and AUU, showing a much lower efficiency for those codons, but they did not compare it to GUG.


evolution - Are domesticated animals really "more intelligent," or is that a myth/misunderstanding?


Often do I hear people speaking of how the domestic house cats are more friendly, less ferocious, less savage-like, and smarter and/or than their distinct but equivalent feline-species friends, like lions, tigers, jaguars, panthers, leopards, cheetahs, etc. Is this provably true in any form or way?



Are domesticated animals really "smarter" or less ferocious, or are some simply, but assumption of lessened threat potential, more so inclined to deem the house cat/dog as less ferocious simply because it's not such a big threat? Look at it this way:


Typical house cat; domesticated and homegrown-type. This little beast here is "very cute" because he/she is small and barely 9 lbs. When playing, he/she isn't directly threatening to many human's safety, and many people are not afraid of cats; however, is he/she really smarter because he/she is safer and less dangerous to us humans only?


Somewhat This beast, however, is hundreds of pounds heavier and many feet longer. Is it considered more savage-like because it can seriously harm and possibly kill humans by playing a little rough, which is like how a 9 lb. house cat would play equivalently, but would give you some light scratches at worst.


I've also heard arguments about "friendliness" of felines, usually claiming that house cats are friendlier due to evolution and nurturing/upbringing; lions/tigers, on the other hand, are claimed to be naturally unfriendly and have "more wild" in the, and incapable of being as "friendly" or "trustworthy" as a house cat. Point is, I'm probably not the only person who's heard this. Also, consider other animals, like dogs.


Dogs come from the grey wolf, to put it simply. Compare both a typical house dog and a wild grey wolf, and it's pretty obvious that many would assume the house dog is safer, friendlier, and less harmful, despite the fact that some domesticated dog breeds can pack a greater bite than the wild grey wolf.


Comparing the house dog's behavior to the wild grey wolf is also not a good measure of "friendliness", as compare a savage Homo sapiens from an uncivilized territory to a common city person, and you'd think the same thing: that the savage human is "less intelligent" and the city person is more so.




Tuesday 27 February 2018

publications - How do I get a citation dataset with full text articles in PDF format?


I am doing research in text mining. For that I need a dataset which contain full text PDFs of research paper articles, and all articles should be related with each other in terms of citing. There are citation network datasets available which contain only metadata of papers, but with this I also want those full text articles in PDF format.



What should I do to get such dataset?




grades - Why does an admissions committee need to look at the whole transcript?


Admissions committees look at a student's entire transcript to get an understanding of their academic abilities. Why is it not sufficient to judge a student's academics based on GPA alone?




Monday 26 February 2018

molecular biology - How are antibodies designed?


Antibodies have the ability of recognising highly specific peptide sequences and bind it at their antigen-binding site.


This ability is harnessed as a tool in research to purify target structures in the cell (e.g. in chromatin immunoprecipitation, ChIP).


Now let’s say that I’ve identified an interesting target structure (such as a particular transcription factor) and I want to design an antibody to use in ChIP against said target. How would I go about producing such an antibody, taking into account that it should be both highly sensitive and specific?



Answer



I worked for a long time at a leading high-quality antibody company, so I'll try and share some of my experiences with you. The process of making a highly specific antibody (I'll focus on monoclonals) has three important parts - antigen design and immunization, cloning and subcloning, and screening/validation. Each part is crucial on its own, and the better one is performed, the higher your chances of success downstream become.


In order for an antibody to work, it needs to bind specifically to its target. I won't get into all the specifics here, as there is a good open literature on antigen design, but basically you need something that will promote a strong immune response in the host, give you a variety of clones to choose from, and be specific - it shouldn't bind other targets besides your protein of interest. There are lots of factors to consider, including antigenicity, solubility, ease of production (for immunizing and screening), steric considerations (does another protein or nucleic acid obscure the target site in vivo?), and others. Antigens can be roughly divided into two types - peptides (typically less than 20 or 30 amino acids) and proteins or protein fragments. You will most likely want to try several antigens to maximize your probability of success. After the antigen is synthesized and purified, you need to come up with an immunization schedule for priming and boosting the animal(s), then determine when and how to test them (screening), and at what time and how to harvest it for the monoclonal process.



The cloning process then comes next. Clones can be generated by a variety of methods, some widely available, such as the various hybridoma methods, and some proprietary to individual companies. My former company employed a mix of both, depending on the species of animal, using some really cool in-house tech that was constantly being improved and expanded upon. These processes are very dependent on the quality of materials being used and the expertise of the cloners. The input B cells (which make the antibodies) need to have been harvested, treated, and stored according to a set of precise steps to allow for the highest number of viable clones. Once the immortalized cells have been obtained (after fusion with the myeloma partner cells in the hybridoma process, for example) they are diluted to a pre-determined cell count and plated in 96-well plates and allowed to recover and grow for a time, during which they are secreting antibodies into the medium. This media is then tested quickly (before the cells overgrow the well), and positive wells are diluted out to (hopefully) single-cell suspensions and subcloned, or frozen down for later. The first testing is frequently by ELISA using the immunizing antigen, although depending on your application of interest it may be by high-throughput screening via flow cytometry, immunohistochemistry, or immunofluorescence. After the initial testing, subsequent steps of subcloning and re-testing can occur at a more measured pace, as the cells can be frozen indefinitely after generating sufficient quantities of antibodies in the supernatant.


This is where the quality of your screening program comes in. Your assays need to be well-designed, robust, well-documented and performed, and have appropriate positive and negative controls so that you can truly tell whether a certain clone is of interest, or performs better than an existing product. This means controlled conditions, standardized reagents and protocols, and a high degree of repeatability from assay to assay. Also, the appropriateness of your controls cannot be emphasized enough. Do you have a knockout or non-expressing sample for comparison, or a way of looking at baseline vs. induced or inhibited activity? For ChIP, unless you have a good control antibody and primer pair for your gene of interest, how will you know if the assay works? You may get a great result doing a straight immunoprecipitation-Western blot, but still not pull down DNA-bound protein. If your ChIP method doesn't produce clean DNA, you may never get binding. And if you don't have appropriate data analysis protocols in place with multiple replicate wells, you may waste time chasing noise instead of specific signal. Additionally, along with testing all your clones, you also need to titrate them to determine the optimal working concentration. I've seen a lot of antibodies that look like crap when you first test the supe, but diluted 100 or 1000X they are clean, specific, and still strong. Be patient, testing is a lot of work and requires a ton of repetition to confirm your results, but it'll be well worth it in the end.


Finally, after all this is done, you hopefully have a great clone that does what you want it to do, and better than anything else out there. You now need to decide what you're going to do with it, because if you're an academic lab and publish with it, the world will come knocking at your door. Don't slack off at the end and decide 100 ml of supernatant will be enough to last forever - save the clones and put them in a cell bank, or try to get a commercialization deal with a manufacturing company so you don't have to do all the work!


I hope this helps, please let me know if you have any additional questions or concerns.


publications - What figure formatting can, should, or will be done by a publisher?


Background


When preparing a final version of a figure, it appears that some changes could be more easily made in a graphics software (gimp, inkscape, scribus, adobe) as opposed to R. Such changes might be done more efficiently, and more to the publishers standards, by the publisher. Apparently, the publisher uses some such software to makes final changes to the image anyway. Presumably, these changes can do it more efficiently and to their standards. Also, some tasks would be trivial or would be done anyway by the publisher.


Some tasks that I am currently doing to prepare figures for a journal article:




  • move / add text

  • change font

  • change line thickness

  • change background color


Something that would be neat to do:




  • integrate figures into text, in the style of Tufte:



    enter image description here




Questions:



  • What formatting is commonly done by a publisher rather than an author?

  • Is it reasonable to make requests?

  • If so, what work will a publisher be willing to do?



Answer




For many years, the standard on the part of journals is to do absolutely nothing with respect to journal articles. Essentially all of the work in terms of preparation falls on the authors. Previously, figures had to be "camera-ready"; now, they "just" have to be publication quality. The journal production staff will not do anything, except potentially change the size of the graphic to better fit the column space.


You should check with the journal about the regulations on acceptable graphics; they should have them available for your review on their website. If there are questions about the use of graphics outside of those guidelines, send an email to the journal office.


Reproductive isolation causing evolution


My course book says about reproductive isolation that it does not allow the interbreeding among the individuals of different species. It also says that it is a cause of evolution.


How is this cause of evolution?




zoology - How best to count bees entering and leaving a hive to measure hive activity?


This is my first question here, so I apologize for all mistakes I could have possibly made.


I'm a high school student in East-Central Europe and I need to complete some research for a biology contest (asking for advice is accepted, so I'm not cheating). My task is to analyze the influence of certain environmental factors (temperature etc., it's not that important for my question) on the activity of bees. The method is pretty simple: once a week I record the entrance to the bee hive (I do it on four hives), play it in slow-mo (It's impossible to count them properly without doing so) and simply count the number of bees entering or leaving.


Problem is, I don't know how long the observation should take. I play it in like X1/8, you need to play it twice (entering/leaving), so it takes a lot of time to gather one piece of information for a certain day. Till now I've been doing it for one minute - and there seems to be some kind of pattern to their activity analyzed that way. Yet, I'm not sure if it's actually eligible. I can't do the observation for hours - I still need to learn and have other duties.


So, what should I do? Could anyone give me some advice? Is one minute (several, like 6 times a day per hive) legitimate enough?


Thank you in advance.



Answer



I'm no expert at this but these are some of the things that I would consider thinking about. How practical is it for you to count the total number of bees in the hive, based on lets say hive weight or the number of bees on one rack in the hive (then multiply by the total number of racks to give you an estimate of the total bee numbers in a hive) before you start collecting video data? This will at least put your influx/outflow number into some sort of prospective if you are counting in different times of days or if there are different wheather conditions in different days. This is easily achieved if you divide your influx and outflow numbers by the total (estimated) number of bees. This gets you two numbers (ratios) which you plot on the Y-axis. On the x-axis you can plot the passage of time and even colour code different days based on average (lets say) temperature to see if temperature had an obvious effects on your observations. But obviously all your instances of recording and time intervals between recordings needs to be constant!


So in many fly behavioural or locomotion function assays, scientists record fly movements at certain fps and analyse the videos. Now most of this video data analysis is done using scripting in Matlab which is (I know to be) the tool choice for motion analysis. Now since you say you are at high school, this would probably be quite a challenge since the program is costly and scripting is not that easy (at least for me), so see if you can utilise the help of someone to get over this barrier. Once you do then you can analyse much longer videos at much higher frequencies, which will give you a better resolution on your data. If you could't then consider looking through web sites using search engines such as google for Matlab codes for motion tracking analysis scripts. I did this some time ago and there are wealth of information out there and once you do that you can get the communities help in websites such as stack overflow to help you refine your codes or any problems you may have with it, so long as you show evidence of your work. This is a great option since you can add variety of data (or different data aspects) to your project such as what is the average speed/velocity which your bees travel at in different times when entering/exiting the hive, is there a pattern to their travelling (e.g. straight line, zig-zag etc) and much more. I'm aware that this is beginning to sound like a PhD project and not a high school project but these are some things to consider. If programming is totally out of the question then you can look on internet to see what free programs are out there to aid you with your data collection. I briefly looked and saw this (http://www.youtube.com/watch?v=jWD8CHW06Ks) and this (http://www.researchgate.net/post/Does_anyone_know_of_FREE_software_for_motion_capture) just by simply typing into google "video motion tracking software" so look around and see if you can find anything which you can tailor for your own need.


Now regarding video length time, as correctly mentioned in Armatus response (if I'm not wrong and correct me if I am) it shouldn't matter for how long or how frequent you are recording so long as you keep the variables (i.e. time of recording, frequency of recording etc) to the minimum (i.e. not change them), or in other words keep your observation methodology constant through time, and try to come up with a practical schedule and if you explain your thought rational (experimental design) in your report, even a professor (i dare to say) wouldn't be able to argue with it but you always have to talk about the limitations of your study and that is key and that's where peoples project falls apart when an expert reviews it and finds holes and criticises claims made, which can not be backed up by the data/types of analysis gathered/performed!!



EDIT: Just to address some statistics issues, I would make your recordings from minimum of three hives per recording time-interval/point since in science n (number of observations) should be >= 3.


Anyways I hope my ramblings have been somewhat useful.


research process - Dealing with professor after not getting back to him on a project?



I was supposed to do a project for one of my classes and I talked to one of the math professors at my school for ideas and he was excited about my project and even got one of his grad students involved.


The thing is, I didn't do well in the class and I didn't get around to finishing the project to it's fullest potential and so I never got back to him (the math prof) about it because I was too embarrassed.


I'm really paranoid now even when I'm just in the building he works in and it sucks because I'm a mathematics student so I'm there a lot. I don't want to run into him or his grad student because I don't want them asking me about the project. The semester's over now and I don't even know if he'd remember me.


I just feel like I've let him down and I really do want to work on the project I just didn't understand what equations and stuff to use after so it was just a mess by the end. Anyway, I'm just wondering what I should do about this? Should I email him? Should I just avoid him? I may want to work with him for research but I don't want him to remember this cliff hanger relationship.


Thanks!




neuroscience - How does an inhibitory synapse communicate to the cell body of a neuron?


I picture a neuron as having multiple trees of dendrites attached to the cell body with a single axon leaving the cell body. I believe the cell body near the axon root makes the decision to fire or not fire an action potential.





  • If the neuron has both excitatory and inhibitory synapses in the dendrite trees, how do these communicate to the cell body?




  • Does something like an action potential get transmitted down the dendritic trees to the cell body?




  • What is the difference between the excitatory and inhibitory signals that are transmitted?






Answer



From your comment to nico's good answer, it seems that your question is really about how synaptic potentials propagate through dendrites.


Canonically, synaptic potentials travel passively along membranes and is described by cable theory. The cable equation describes how the voltage will change over time and space along a cable. The theory was originally developed for signal decay in trans-Atlantic telegraph cables, but the principle holds for a voltage-independent length of membrane like a dendrite.


A key point is that the potential change "seen" by the cell body is different from the potential change seen locally at the site of the synapse itself. In fact, the voltage decays exponentially with increasing distance from the synapse. The extent of the signal decay is governed by the axial resistance (influenced by dendritic diameter), the membrane resistance, and membrane capacitance, and the branching pattern. A common neuron modeling environment called NEURON is basically a fancy solver for the cable equation.


You'll note that a consequence of this signal decay is that synaptic location matters a lot. Given an identical synaptic potential, a very distal synapse will have much less of an effect on the soma than a more proximal dendrite. Sometimes, the synaptic strengths are scaled to compensate for this location issue (a distal synapse will have a much larger local potential change). Many inhibitory synapses capitalize on this location dependence and are located close to the soma to act as shunts for all signals coming from the dendritic tree. When activated, an inhibitory synapse will decrease the local membrane resistance thereby decreasing cell excitability.


Finally, I'll note that although we often talk about dendrites as being passive conductors, dendrites are actually quite active and have many voltage-dependent channels. The voltage-dependent phenomena in the dendrite complicates the use of pure cable theory to understand the dynamics of synaptic potentials. However, cable theory is still the essential foundation upon which our growing understanding of the active dendrite is built.


Sunday 25 February 2018

publications - Does "minor revision" mean "accepted with minor revision"?


I just received a decision letter from a journal editor (after three rounds of major revision). The letter shows that the reviewers "have asked for some other minor revisions". After getting the minor revision letter, I immediately completed the revision in accordance with the feedback from the reviewers (the suggested changes just involve adding a few sentences) and immediately resubmitted the revision to ScholarOne. A week has passed since I submitted the revision, but the status in ScholarOne remains unchanged. Is this normal? Can I assume that this basically means "acceptance with minor revision"? Thanks for your insight and sharing.



Answer



Minor revision usually implies that the reviewers (and the editor) think that authors can correct the paper in a way that will address all of the concerns, and the reviewers not need to see the paper again before publication.


From the reviewer's standpoint, "minor revision" means "authors should fix this and this, and don't bother me with the review again, the manuscript is ok otherwise".


However, if the author fails to address the concerns when revising the paper, the Editor may send the paper to another round of minor revision, and in extreme cases, to the major revision (for example if the minor corrections start to reveal bigger problems with the papers as originally envisioned).



supervision - What should I do if someone submit a review of a manuscript in journal system sooner than I know and I already prepared a detailed review?


I am a Ph.D. student. My supervisor frequently tells me if you want to do a review for journals, login into my account and perform the review. He never reviews any paper. He is very lazy and I have to do all of the submission of my articles into journal system myself using his account.


A while ago, I wanted to check a journal and I saw a pending invitation for review from a famous researcher, which I love his works very much, as associate editor of that journal. I accepted review and downloaded manuscript. I read the manuscript and wrote a detailed review of it, six pages long!. I recommended a major revision. It takes a lot of my time to read the references and perform the review. In my review, I suggested a set of improvements to the authors which I think will help them improve their work.


Today, I wanted to submit the review using my supervisor account. I suddenly noticed that my supervisor submitted a review. I am very upset as it took much of my time to perform this task. I read his review, a very short note to reject the manuscript, less than half a page long. Other anonymous reviewers recommended a minor revision.


What should I do? Is there any way to make the best use of my review? not to waste my time.


Disclaimer: Please don't be so judgmental. Assume someone in such a situation. He didn't know it is unethical not even a bit until asked this question. He even guesses his supervisor himself not knows this. Since there was never any evil intention by any of them.



Here we want to ask questions and consult/educate ourselves from members; not judging people. He just worked hard to help some other researchers and nothing else. Not a first-year Ph.D. student.



Answer



I understand that this proxy review may be a cultural norm where you are. Nevertheless, it is considered malpractice in many places, and admitting to doing this can land you in trouble. Keep that in mind, because a publisher like Elsevier is massively cross-cultural, so they may take umbrage to something like this if it is reported.


Now, coming to what you get out of it. Your learning has happened anyway; I'm sure you expanded your understanding by reading all the references etc. At no point were you getting any credit for it - certainly not from journal, probably not from supervisor (I understand this particular review was not done with his knowledge). So there's no reason to be upset. I would suggest conserving your energies. If anything, you could show your supervisor your review, just so he knows how hard you worked. But if he is as lazy and uninterested as the question makes him sound, he may dismiss it.


Bottom line is, don't be upset. You volunteered to do the review by proxy and didn't inform supervisor what you were doing - so it's hard to find fault with anyone else. Learn from this incident and move on.


feedback - How to react to a student who provides very critical comments about your teaching in a student evaluation survey?


I am a teacher in an institute and I teach English as a foreign language to students in an 8_week session. At the end of each session, the students are required to give their opinion about the class and the teacher.


One of my students who attended all the classes and I corrected at least 20 writings for her has written something horrible and of course has ruined my rating by saying: "What we learn depends on the teacher. I recommend teacher X, but I absolutely and strongly reject this teacher who does not know anything about teaching (meaning me)." She has also written her name on top of the paper.


She never, ever, complained about my teaching method during the time we had class together and this sudden unfair comparison has gone on my nerve. I have taken a photo of what she has written about me and it is in my mind to email it to her and ask for her explanation.


I have signed no contract with that institute and I have received no teacher training courses. I have teaching experiences somewhere else and that was why they invited me to teach. But their unfair system of evaluation at the end of each session will definitely have effects on my payment and if it continues like this, I will no longer be able to continue teaching there.



I am REALLy thinking so deeply about what I could have done wrong. My last session assessment was 20% higher than an old teacher who is teaching there for 3 years. Another serious problem I have with this issue is the "comparison". I teach Reading and Writing and my colleague teaches Listening and Speaking. Of course, I have never met the other teacher. But, he has read this bad comment about me. Why should I lose my face in front of a colleague, because of an "unfair" judgement?


Is it good to react like this, or I should keep silent about her unfair judgement?




cv - Graduate coursework not taken for a degree- still relevant for graduate admissions?


I have recently graduated with a Bachelor's degree in the United States and have taken a job as a research assistant at a large private research institution. Part of my employer's package involves free tuition for full time employees for up to 6 hours per semester, including graduate courses. I was considering taking advantage of this opportunity, and my PI and I have agreed that 3 hours per semester (1 class) would be a good compromise between wanting to work and gaining knowledge as an investment in my abilities as a research assistant. This is an exciting opportunity because my undergraduate alma mater was a relatively small institution with no niche coursework. My cumulative training up to this point has included being lucky to catch course offerings and being the beneficiary of summer REUs..so the opportunity to take niche coursework is highly lucrative for me. My question is as follows:


If I take 3 graduate courses (summer included), when I apply to graduate school down the line in about a year or two, should I report these courses and do they make any difference? Secondly, how do I put these courses under the education tab in my CV/resume?




human biology - Why does the face turn pale in dangerous situations?



I know what the effects are of a dangerous situation on the brain, i.e., an activation of the hypothalamic-pituitary-adrenal (HPA) axis which eventually results in an increased heart rate and elevated blood pressure. However, I do not understand why enhanced blood circulation would result in a paling of the skin? Do red blood cells actively change direction?



Answer



Red blood cells are not equipped with a motor system to propel them through the blood stream. Instead, they are passively transported through the vasculature by the the pumping action of the heart. The effects of dangerous situations on the skin have to do with hormonal effects on the blood vasculature, and not with direct effects on red blood cells.


Dangerous situations trigger the fight-fright-flight response, and is a direct result of adrenaline being released into the bloodstream. Adrenaline prepares the body to fight for its life.


Adrenaline has a variety of effects including enhancing perspiration (or diaphoresis, which prepares the body for the increase in temperature associated with fleeing/fighting), dilation of the pupils (which increases light sensitivity, but reduces acuity), dry mouth (gastric juices and saliva production decreases because blood flow to the digestive system is decreased), enhanced smell and hearing, and a cool, pale skin.


The cool and pale skin is caused by a reduced blood flow to the surface of the body, while blood flow to the arms, legs, shoulders, brain, eyes, ears and nose can be increased. Besides getting ready to run and fight, the body is preparing to think quickly and be aware of threats by hearing, seeing and smelling things better. Pulling blood away from the skin also helps decrease bleeding from cuts and scrapes (Source: Army, Navy & Air Force Australia).


Adrenaline stimulates alpha-adrenoreceptors in blood vessels, which causes the smooth muscles around the vessels to constrict (Bolli et al., 1984)


adrenaline
Adrenaline (epinephrine) released from the bloodstream dilates vessels in the skeletal muscle via beta-receptors, and constricts them in the digestive system and the skin through alpha-adrenergic receptors. Source: Marian University College, Indiana.


Reference

- Bolli et al., J Hypertens (1984); 2(3): S115-8


Saturday 24 February 2018

writing - Is it bad form to use the word “novel” when describing your own work in a paper?


Ideally any research paper should contain novel thoughts, ideas, procedures, observations, methods, etc. of some form or another. That being said, is it really necessary to remind the reader about it by using the words novel, revolutionary, or never been done before as opposed to just comparing it to existing studies and noting the differences between the two?



Answer



Yes, I would advise against using the words novel or new for the following reasons (which overlap with what you already argued):



  • It’s almost impossible to fully ascertain that something is new. Even if you just discovered some outstanding and surprising effect like superconductivity, somebody else may have discovered it a month earlier and is just about to publish it.


  • At the same time, you are expected to have ascertained the novelty of what you are doing as well as reasonably possible and to document it in your introduction or literature review. To quote JeffE:




    The message you want to send is "I have read every paper on this topic, and none of them do this thing that I'm about to do."



    If you have any reason to believe that what you are doing is not novel, you should either document this (e.g., “we tried to reproduce this experiment”) or not try to publish at all. Thus, there is never any reason to claim something is novel – it is implicit that everything you write that is neither common knowledge nor equipped with a citation is novel to your best knowledge.




The following memo by the American Physical Society (one of the most prolific publishers in physics) argues similarly:



Physical Review adheres to the following policy with respect to use of terms such as "new" or "novel:" All material accepted for publication in the Physical Review is expected to contain new results in physics. Phrases such as "new," "for the first time," etc., therefore should normally be unnecessary; they are not in keeping with the journal's scientific style. Furthermore, such phrases could be construed as claims of priority, which the editors cannot assess and hence must rule out.




phd - Will one 'C' grade due to health issues ruin my chances of admission into a top grad school?


I am in the third year of my undergraduate degree now, and in the process of applying for Graduate schools and Med schools. I have a burning questions about a creepy "C" in my transcript.


To summarize my story: I was recovering from a biopsy operation back then. Though I was advised to take one semester off to rest physically and mentally (I was extremely paranoid waiting for the pathology report, and luckily it came back benign), I still decided to take all the courses and the heavy research that I had started before. I performed so badly that semester that I received a C. That is like the most embarrassing element in my transcript.


Some told me that such a bad grade is a disadvantage for admissions. Do I still have a chance to make it to top grad and med schools? With extra effort (I have managed to pull up my GPA to 3.8 now, I have been on the Dean's list for some semesters, have 3 publications, and 2 poster presentations at symposium, my GRE and MCAT are good too), can I cover that ugly spot?



Answer



You have shown that you have overcome great adversity and still achieved great results - this says a lot of positives about your character - of resilience and perseverance - two attributes that are critical for any graduate studies. You had a cancer scare and still passed the subject despite the medical tests and the very justified anxiety.


Maybe, it is not an "ugly spot", but that C, and subsequent successes are a reminder of how much strength and tenacity you have shown.



job search - U.S. humanities professors: Can you get back into academia if you leave?



I'm a tenured professor in a humanities department at a second-tier research university in the United States. My Ph.D. is from a top-ten program in my discipline. I have an above-average number of publications for my age. I have about five years of undergraduate and graduate teaching experience post-Ph.D.


I have an opportunity to take a job as a writer/editor for a marketing company. I'm inclined to take it (for reasons I won't detail here) but am worried that if I don't end up liking my new job, it will be impossible to get back into academia after having left voluntarily.


I'm not expecting that I would get my current position back, or necessarily be rehired to a tenured position. I'm just wondering how hard it would be to go back on the job market and find a tenured or tenure-track position somewhere in maybe two or three years' time if I end up hating the new job.


I want to emphasize that I am in a humanities discipline. I gather that in the sciences, it is common for one to leave an academic position to go work in "industry," then later return to academia. I have never heard of anyone doing this in the humanities, however. Does it happen?




productivity - How to automatically link LaTeX .bib references to a set of pdf full-text articles?


I have a huge collection of PDFs of research papers. Many of these have valuable annotations. I also have a huge .bib file containing citations for these and many other works. Is there a reference manager software where I could import the .bib file and the collection of PDFs and somehow the entries in the .bib file could be magically linked to the corresponding PDFs? I would then like to use that tool to access my PDFs (of research papers). I think this was a feature request for mendeley long back http://feedback.mendeley.com/forums/4941-general/suggestions/80946-automatically-find-pdfs-link-them-to-imported-me . As of today, I don't think that it has been implemented. I tried Quiqqa (http://www.qiqqa.com/) , but had no luck.




Friday 23 February 2018

abiogenesis - What elements are a possible basis for life?


I've been told that life on earth is carbon-based, Then I got curious about one thing: What are the possible bases for life and under which circumstances could lifr based on other elements exist?


If the existence of a silicon-based life is possible and if it is, under what temperature, pressure, etc?




Answer



This is an interesting question, particularly considered in the context that Cairns-Smith (1985) even suggested that clays (silicates in solution) may have had some sort of early selection acting on them due to their surface chemistries.


However, there are a number of major problems with Silicon. Some are chemical and some are astrophysical in nature. For example:



  • Silicon has a lower electronegativity than carbon and a longer bond length. Silicon can polymerize, but many conformations (such as rings) are highly reactive or unstable.

  • Silicon lacks chirality. Since biochemical reactions are very specific this may present a fundamental problem for alien biochemistries.

  • We don't see silicon macromolecules in nature. Large carbon molecules are seen in space such a polycyclic aromatic hydrocarbon rings. The largest silicon molecule seen in space is a chain of SiC_3 (and maybe SiC_4).

  • On reacting with oxygen (which it does readily) silicon likes to form solids like sand.

  • Silicon is much less common than Carbon in the Universe. The Solar abundance of silicon is 1/10 that of carbon, and supernova yields suggest that the silicon abundance may be as low as 1/100 that of carbon during nucleosynthesis in low/intermediate mass stars.



To form complex silicon molecules we would probably need to keep it in an oxygen-free environment and somehow maintain it in solution. One possibility would be to hold it at high pressure and temperature such as in the interiors of planets (think deep hot biosphere theory) but this presents another host of problems for conceivable biochmistries and is very speculative.


Apponi, A.J., McCarthy, M.C., Gottlieb, C.A., & Thaddeus, P. 1999, Journal of Chemical Physics, 111, 3911


Cairns-Smith, A. G. (1985) Seven Clues to the Origin of Life Cambridge University Press, New York, ISBN 0-521-27522-9.


Woosley, S.E., & Weaver, T.A. 1995, Astrophysical Journal Supplement, 101, 181


evolution - Why would a single celled organism evolve to be multi-celled?



I read a story this week on Richard Lenski who has been 'evolving' E. coli for more than 50,000 generations now. One comment I read was from someone who doesn't accept Evolution who pointed out that we haven't seen a single celled organism 'evolve' into a multi-celled organism. Another person responded and said that a bacteria is not going to evolve into something that isn't a bacteria.


So, if Evolution created single celled organisms and then multi-celled organisms how might that change have happened? And is it possible to recreate that set of driving forces to make a bacteria something other than a bacteria?


To that end, what advantage does being multi-cellular have over being unicellular (if that's even a word)?



Answer




How did multicellularity evolved?



It is an ongoing field of research - Some insights about the origin of multicellularity


This is a big ongoing field of research. To start with an example, there was relatively recently (2012) an important article by Ratcliff et al. that shows that yeast can quickly evolve multicellularity under selection on the speed they sink to lower water layers. This article is one among many others and is far from being able to explain everything we would like to understand about the evolution of multicellularity. Typically, I think that this yeast species had a multicellular ancestor and we might think that this species would already have fixed alleles (=variants of genes that is fixed meaning that the whole population is carrying this variant today) in the population predisposing this species to easily (re-)evolve multicellularity. Also, they may have kept some standing additive genetic variance in their genome from their past and they would therefore very quickly respond to selection as they don't need de novo mutations. (Sorry if this last sentence was slightly technical).


One of the first traits that we usually refer to when talking about the evolution of multicellularity is the presence of sticky proteins allowing individual cells to paste to each other.



Some insights about the evolution from simple multicellular to more complex multicellular


Then, we could talk about more complex multicellular and argue how do these simple multicellular evolve into some more complex organisms. A common argument is that multicellular can have specialized cells are very could at doing what they're doing as they are specialized. Also, some level of complexity is thought to have raised due to the fact that multicellular organisms tend to have smaller population size than unicellular (see Lynch and Conery, 2003). It is important not to confuse evolution of complexity with the evolution of multicellularity although these two notions are somehow related.


What do you mean by multicellularity?


The evolution of multicellularity can be discussed in the context where sister cells form an organism together or when unrelated cells (among the same species or even cells from different species) come together to form an organism. Also, the multicellularity can be discussed at a different level depending on how we want to define multicellularity. Is a stack of cells reproducing individually, working for their own benefit a multicellular? Do we need a division of labor? Do we need a division between germline (reproductive caste) and soma line (non-reproductive case)?


How many times did multicellularity evolve independently?


Some people consider that there are multicellular bacteria (biofilms) but we will avoid discussions that are based on limit-case definitions. Let's talk about eukaryotes. Most Eukaryotes are unicellular and multicellularity evolved many times independently in eukaryotes. To my knowledge, complex multicellularity however evolved only (only?) 6 times independently in eukaryotes.



  • Metazoa (animals)

  • Ascomyceta (fungi)

  • Basidiomyceta (fungi)


  • Viridiplantae (green plants)

  • Florideophyceae (red algae)

  • Laminariales (brown algae)


Model organisms and interesting cases to study multicellularity


There are a bunch of specific clades that are particularly interested in studying multicellularity because they present transition states. For example Volvox is a chlorophyte genus and the species in this clade present different stages of multicellularity; Some species are exclusively multicellular, some form small groups, some create big colonies, some have some division of labor and some even have separation between the germline and the soma (Some castes don't reproduce). (ref1, ref2, ref3, ref4, ref5, ref6). Yeasts are also a good model organism for studying the evolution of multicellularity.


united states - How to handle salary negotiations while negotiating a postdoc position?


I am a couple of months off my defence and started thinking about postdoc possibilities. I seem to have an opportunity at a very prestigious lab in the U.S. (I'm currently located in Europe).


After a brief chat with the PI at a conference, and some e-mails back and forth I was invited to come for a visit, meet the people and present myself and my work so far. Considering that we are still in contact and started discussing more regarding the projects and funding possibilities, I feel like they genuinely do want me to work there.



Putting aside all the parameters regarding the scientific matters, I am a bit concerned about the economic aspects. The lab is located at a city which is among the most expensive in the country, based on what I read/hear. I have been in contact with the postdoc-community (turns out there is one) at this university and asked them about how salaries are decided and how it compares to the cost of living in that city. The answer wasn't very simple, but my understanding is that it's not regulated at uni or faculty level but instead decided on a case-by-case basis. I hear figures varying from $30K to $75K, which is a pretty huge span.


So, coming back to my contact with the PI, at no point during our communication the subject of salary came up, and while initially I was cool with that, I am starting to feel like it would be good to know what I am getting myself into before we start putting serious effort into writing grant applications and designing projects.


I realize money shouldn't be the first concern, while negotiating an academic position; but if I'm going to relocate to the other side of the planet without any security of a future there, or back here, I'd like to know that I'm taking a step up from my current life rather than a step down. The issue is that as a grad student in Sweden, you have a pretty decent life and you get a respectable salary (despite being 20-35% down from a comparable position at industry).


Q1: How can I inquire about the salary offer/negotiation without appearing greedy or money-oriented?


Q2: As a follow up, is it reasonable to expect/ask them to match my current living standard?



Answer



I think all your concerns are very reasonable. Honestly, I am not really buying into the "money is no concern in academic job hunts" story. A postdoc is a job. Part of a job is a salary. I never understood why you are allowed to ask about housing, students, packages, whatever, but not what money you are going to make.



Q1: how can I inquire about the salary offer/negotiation without appearing greedy or money-oriented?




In the past, I have brought up this topic during my faculty visits (i.e., when they invited me over). At this point, nothing is promised yet, but it should be reasonably clear that both sides are interested and will not be scared away by trivialities. That is, if the PI went through the pain and costs to fly you over, (s)he isn't going to drop you just because you said the nasty M-word. Also, a slightly uncomfortable topic is better discussed face-to-face, over coffee.


Usually, there is a point in the conversation where you can drop it in without being overly heavy-handed. Don't make it the first thing you ask, but some time during the day quite naturally the formalities of your employment will come up. At this time you just ask directly for your yearly salary.


"You say that my employment would be full-time for 2 years? By the way, how much in yearly salary would this roughly amount to?"


If this is above what you expect, nod sagely and let the topic go. If this is slightly below your expectations, ask if there is possibility to increase (e.g., with additional teaching, by bringing in grants). I wouldn't really consider this negotiating (as they like to say over at Workplace.SE, one cannot negotiate without being prepared to walk away), but rather an open discussion what you would need to do to get to your expected salary. If the offer is way below your expectations, to the extent that your standard-of-living would actually unreasonably sink from your current position, explicitly say so.


However, keep in mind that there is a good chance that in this third case, you may well have an unfixable problem - likely, the PI will be unable and unwilling to go up very far from whatever (s)he currently has in mind, so there is a good chance to you will either have to take the lower salary for the experience, or be prepared to walk away. However, at least then you know - this is still much better than finding out when you are already in the US that your salary isn't close to what you are used to.


Edit: There is, unfortunately, also the very real chance that the answer will be something evasive, for instance:



  • "We'll tackle this when you are here, ok?"

  • "Salary will follow the university standards / NSF standards / whatever."

  • "I don't know from the top of my head, but I am sure we will be able to figure it out."


  • ...


If this is the annoying case, I would press the topic. Really. No matter what anybody says, it is not unreasonable to expect to have more or less exact knowledge about salary before agreeing to changing jobs, especially but not only if that "changing jobs" will mean that you move to a different continent. Also, it is a super-bad sign if the PI won't even give you a ballpark number. That alone would make me very anxious about the entire salary topic.



Q2: As a follow up, is it reasonable to expect/ask them to match my current living standard?



Partially. Your current standard of living isn't really of much concern to your new employer, but of course you can use this argument to plausibly explain why you care about having a specific minimal salary goal. Of course for the PI it's not an ethical problem at all to respond with "I don't have this money", or "For this money I can get two qualified people who don't have your expectations regarding standard-of-living". So I certainly wouldn't expect them to match your current salary, but it is not unreasonable to ask for this.


Thursday 22 February 2018

phd - Choosing a title to hold upon completion of a doctoral degree: "Dr." vs. "Ph.D."




Possible Duplicate:
EU Ph.D. in Germany: Calling yourself “Dr.” or “Ph.D.”




I'm asking this question in relation to my doctoral studies in Germany. However, my question may be relevant to regulations in other European countries.


At the university where I pursue my doctorate, I have the choice between two titles. Upon successfully completion of my dissertation and all related examinations I can decide which title I want to hold: "Dr. rer. nat." or "Ph.D.".


In Germany, the traditional title is "Dr.". From what I understand the title "Ph.D." is being introduced at many universities for reasons of comparability with degrees from other countries (especially with the US and the UK). I'm guessing, the reasoning is that holding a "Ph.D." will improve your chances when applying for (academic) openings internationally. However, I have also been told that the German "Dr." has an excellent international reputation and may give you an edge over "Ph.D.".


EDIT: A couple of years ago, legal steps were taken so that a "Ph.D." issued by other European countries is automatically recognized in Germany (as long as the issuing institutions are eligible) and may be "translated" to "Dr." in Germany. There is also a question related to this here. However, a "Ph.D." issued in Germany may not be "translated" to "Dr."! Therefore, I have to decide for either one and cannot use both.


Hence, my question is: What are the advantages and disadvantages of either title with respect to academic careers in Germany and internationally? Is a "Ph.D." seen as less distinguished by German academics? How is the German "Dr." perceived by academics in other countries as compared with a "Ph.D."?




Evolution- Variations, adaptations and selective advantages


I am trying to understand Variations, adaptations and selective advantages and how they are all related. Feel free to add or correct me if I'm wrong- Variations are structural, functional, or physiological differences between individual's within a species that result from mutations. If the variation provides a selective advantage (genetic advantage) the organism's chances of survival in terms of both survival in a changing environment and reproduction increases. The variation is then considered an adaptation. So basically adaptations are variations which provide a genetic advantage and give some organisms within a species a better chance of survival than those without the adaptations. This survival advantage allows those organisms to reproduce and pass on their adaptation more frequently than those who do not possess these adaptations.




presentation - How to answer questions in a conference talk that I should know the answer to, but don't?



In a few days, I will be giving my first conference talk. I have only spent less than a year in the field, and the talk will be attended by several well-known researches, who are familiar with all of my advisor's work and all of the other literature in the area as well. Of the people in the room, it is probably them who will be listening most intently -- but it is also them who I feel the least well-equipped to answer questions from.


The questions I am most worried about will be about related work. Take it as a given that:




  • I clearly should know the answer to the question, because the related work is very relevant at a surface-level. Indeed, my advisor is familiar with the work and has told me to try to be prepared for any questions about it.




  • But I don't know the answer, because I failed to sufficiently prepare. Or, to make some excuses, maybe I am relatively new to the field and have not had a chance to read every paper in full detail. Of course I have tried some to read through this work, and I have gotten from my advisor some idea of how it compares, but I am not nearly so familiar as I should be.





It seems likely that a poor response to such a question will make me come across as incompetent, unfamiliar with related work in the field, and even unfamiliar with the context of our own work. Similarly, this may damage the reputation of our research itself. How can I best respond to such a question, so as to minimize the damage?



Answer



It will depend on the research field but there are ways to get out these situations quite well, in most cases. I also don't see any problems in admitting you don't know the answer.


Usually you won't get questions exam like style. No one will ask you:



What's the formula for calculating XY?



Here some types of questions I've heard a lot before and some simple answers you can give without talking about the subject:



Have you tried to use this approach?




In that case you can answer with



No we have not but thank you for your input, we will look into this!



If the question is:



[Name] has used this approach, how does it differ from yours?



You can, again, simply answer with




I am not familiar with this work but I will look into that.



The following question is tricky:



I think there might be a problem with this part of your work, can you comment on this?



Here of course you somehow have to defend your own work and this is the part you should know. What I would do is ask the person who asked the question if I understood it right (a lot of the time that's a problem) and then if you still don't know the answer you can eitehr go with something like before



We haven't investigated this yet, we will have to look into this in detail, thank you for your comment.




or you shift the whole discussion to a more "private" setting:



This is an intersting point, maybe we could discuss this after this session? (in view of the time)



This is quite common to do and usually there's only time for a few short questions.


The same is true for a question like:



Why did you use this method?




where it's easy to shift the discussion to after the session.


Whatever you do, don't try to hide the fact that you don't know the answer with strange answers. At the last conference I attended a speaker answered every question with:



This question is spot on, but the project is still ongoing and there's a patent filed and I don't know if I can reveal that right now.



Which told anyone in the audience: that guy has no clue.


citations - Choosing which version of an article to cite


I sometimes find an article published in several conferences.



If similar material is published in different conference proceedings, how do I choose which one to cite?





Answer



Normally you should cite the most recent version, which is probably also the most prestigious venue (normally republication is done while ideas are working their way up the prestige ladder). It's possible that only the earlier version contains the material you want to cite though, but unless that's substantially longer than a later version, then I would assume that means the author(s) have recanted that part, and you should probably mention that in your article e.g. "Bryson (1986) claims fish can fly (p. 253), though note later work does not reiterate this claim (Bryson 1991; Bryson 1993)."


formatting - Is there a recommended font and size for a job application?


Is there a recommended font and size for academic job application? Usually I see Times New Roman being used with a 10 point font size for research papers, but I don't think that it is the best font and size for reading. Can I pick a font that I prefer, or is there some "best practices" that people expect and I should follow?



Answer



It really doesn't matter what font you choose, as long as it's not unprofessional. You can safely choose any font you might use for a research paper, 10 to 12 points in size (preferably 11 or 12, for the benefit of those with poor eyesight, but 10 is OK). It's not worth worrying about this too much. You can't help your chances through elegant typography, and the only way you can hurt them is if you do something ridiculous. Any effects on readability are probably small, and I don't think most hiring committee members have strong opinions on the matter (while the ones who do don't always agree).


Wednesday 21 February 2018

evolution - Is diarrhoea advantageous to the microbe?


Diarrhoea is a common side effect of many feco-orally transmitted bacterial infections. How does diarrhoea help the pathogen? Should it not have a selective evolutionary advantage? Do all symptoms of the disease need to have a selective advantage for the pathogen? All I can think of is that a more liquidy stool would lead to further ease in feco-oral transmission. Is this true?




evolution - Can we make a rough estimate of the number of generations since the origin of life?


According to what we've learnt :



  • we can approximate the number of generations since the first human pretty much like us (depending what / who we talk about).

  • we have an idea of the series of life forms we come from.


So is it possible to give it a very rough number ? Or it's not, because of some issues - but which ones ? (I only think about the many, short generations of the first forms, which moreover we don't really know about, as a limit to counting)


What if we stop counting at "unicellular" (or else) ?




senescence - Why is the Hydra Biologically Immortal?


I have heard that the Hydra organism is biologically immortal (later I found that there are more immortal organisms). Now I know that its immortality is related to its telomerase. The thing is that we all have telomerase, but we age and Hydra don't. What are the proteins (especially telomerase) related to aging in humans and Hydra and how do they work differently?



Answer



a somewhat smaller picture of a Hydrae


Hydra are just one of the many organisms which are immortal. That is to say all their cells divide forever - there is no senescence (planned cell death) in any of their cells. Interestingly Hydrae that reproduce sexually age and die, but asexual reproduction appear to be immortal. Animals that are immortal more often reproduce asexually... this may only be because immortality became unpopular in evolution early on and may have not developed senescence in the way other animals have, or lost it when it was not so integral to life.




Although immortal Hydra also appears to share the (TTAGGG)n telomere repeat, there is as yet no data on how or whether they avoid chromosome end depletion. These data suggest the possibility that senescence or death of asexual individuals and colonies may in part result from a failure to maintain chromosome ends that are restored by going through a sexually reproductive cycle .



So its not clear if the telomeres are protected in hydrae and other immortal animals. I would guess they probably don't have active telomerase if they are truly immortal, though its possible the telomeres are shortened and are repaired.


There are other factors which are supposed to be important for immortality. Yeast and single eukaryotes are not individually immortal; an individual mother cell can only divide a limited number of times. While hydrae are not a popular focus of research, there has been a concerted effort in trying to understand yeast mortality and there are more than one mechanism being pointed to.


Since there is no germline in single celled organisms, (they only have one copy of their genome to reproduce from) telomeric shortening would not be a useful mechanism for aging; Calorie restriction has been shown to prolong fission and budding yeast by activating pathways which slow aging by protecting against stress, and slowing down reproduction. All of these findings have strong parallels in work in aging in animals which is a hot topic now.


Finding these pathways is encouraging strong thought that aging and senescence are an evolutionary adaptation rather than a biological necessity.



Our current knowledge suggests that an apoptotic program has evolved in microorganisms as a survival strategy beneficial to the group. This program is dependent on cellular pathways like the Sch9, Tor1, and Ras/PKA pathways and its activation reduces cell protection and maintenance and raises the level of superoxide production, which in turn contributes to cell damage and death. Superoxide also elevates DNA damage and mutation frequency in the aging cultures ... Aging and apoptosis are intrinsically related in yeast and the mechanisms that cause them have just begun to be elucidated. ... will provide important information to understand the fundamental biology of aging in other species and investigate the controversial hypothesis that an “aging program” might be conserved in higher eukaryotes.




There is an open question as to whether an immortal yeast could be engineered to be immortal. A team at Max Planck Institute did a lot of foot work and found a strain which they claim does not seem to experience individual mortality either.


So this does indicates that immortality might not be a necessity for any cell or maybe even for animals. Occasionally, even animal and human cells can be coaxed to revert to an immortalized state, though usually it is the result of cancerous rearrangements of the genome.


This is a rich field and there are lots of telomerase focused ideas too. Maybe someone can post something along those lines.


publications - How to publish a paper that does not seem to be within the scope of any journal?


I have written a paper on applying a mathematical theory to a linguistic problem. I privately submitted it to several renowned professors (some of them very famous indeed) in the field of linguistics, semantics and so on. They made some suggestions and expressed some criticism on some details, but for the most part they praised the quality of the paper.


Following their suggestion, I submitted it to a leading journal in the field. The answer I got from the journal’s preliminary assessment was that the paper had huge potential, but was too mathematical for them. They advised me to resort to their sister publication, where much more focus on natural language processing and mathematics is to be found. The answer was the mirror image: nice paper, definitely scienficially worthy, but too soft, that is, too linguistic or informal for advanced mathematicians or computer scientists.


Now I am in no man’s land. The paper is indeed interdisciplinary (as corresponds to a linguist using some mathematics as he needs them), but I find it very unfortunate that due to a false sense of the own domain, noone seems to feel responsible for its contents, which I deem valuable. Before trying any further submission, I was entertaining the option of submitting it to the ArXiv, but I do not know whether that will make any sense.


How can I proceed to find a journal that considers my paper to fit within its scope?


I posted this question on Math Stack Exchange before and was recommended to repost it here.



Answer




I sense impatience or even desperation in your original question and comments: If you have got serious indications of you are about to be scooped by other scientists, then I will advise you to publish now on ArXiv or likewise. In some other scenarios, you could benefit most of keeping your paper secret forever. More on this later on.


Do you realize that your research from a mathematician's point of view most likely is applied science, but might be basic science in the field of natural language analysis? Scientists with a pure linguistic background might not even be aware of the potential of advanced mathematic theories.


I can hardly imagine a single paper suitable for journals in different fields without heavy editing aimed for each separate field: Mathematicians want to read about implementation details of the theory, and why one method works better than other ones. Too less of this stuff and your work is “too soft”. However, they do not care about the implications of your results in the field of linguistics. Language researchers prefer to know what results you can achieve using advanced mathematics but too many implementation details will look like unnecessary "noise", which never will pass the assessment committee.


Even you do not like the journal's comments I will encourage you to consider that they provides you with useful facts.


Suppose a journal accepted your paper just to make you happy. Language researchers scanning literature for a method to solving a specific problem identical to yours setup, say extract meaning of natural language texts in the style of IBM’s Watson, will not get the point in relation to their fields, because they do not understand larger parts of your paper. Mathematicians looking for examples of appliances of the theory you applied, say bayesian networks, will quickly move on to papers they can read with lesser efforts. Only people with experience from both fields can take full advantage of the paper, which implies a very low number of citations. That is not what you want.


Interdisciplinary research often leads to spectacular new knowledge and if your paper contains revolutionary concepts or eye-catching implications, it could be a candidate for Nature or Science without changes. Also, try reading “call for papers” for conferences. If you match their hot topics, they will probably accept your paper as it is.


Otherwise, it is a matter of finding that journal, which you most easily can make your paper fit into, and which is the best choice for your career: Did you ever ask yourself why you wrote this paper? Academic ambitions? Then I guess only journals of linguistics will count. Do you look for a position as researcher in a private company? Then you should go for applied mathematics.


Based on the comment "definitely scienficially worthy, but too soft" and the professors' general acceptance, it sounds like that the right way for just proper academic recognition could be to rewrite your paper as a book. Wiley, Prentice Hall, etc. tend to listen to recommendations from professors - their actual customers. A submission to ArXiv does not prevent this, and you do not write a single line until you have got a signed contract.


Follow up on just submitting to ArXiv:


A scientist uncovering new areas should always discuss the potential for patents with attorneys before attempting to publish. Publishing prevents patenting. Patenting will worst case only delay publishing.



If your research is useful for software making Siri looking like a toy, I assumes you would like to get along with financial strong companies (Google/Microsoft), which usually keeps their best secrets as secrets and that means no patents/publishing. You deserves economic recognition too.


Good luck!


Tuesday 20 February 2018

job search - Are old (>35) faculty candidates discriminated against all over the world?


I think that in India research institutes will never take a faculty candidate who is over 35. Is it so all over the world?


I am asking this question from the point of view of if someone starts their PhD. at the age of 27 then its unlikely they will be faculty candidates till they are 40.




publications - How to write and publish a literature review



In Computer Science, you find yourself overwhelmed by the huge number of literature available over a certain subject.


I searched online on how to proceed and write a literature review (in a way that i could publish it).


A lot of the information online will go over the same generic things, so am seeking help in this community.


I would appreciate some advice/strategy from your previous experiences


Reference:


Kotz, Daniel, and Jochen WL Cals. "Effective writing and publishing scientific papers-part I: how to get started." Journal of clinical epidemiology 66 (2013): 397.



Answer



Let me share some insights, I hope it will be useful. I will break down my answer, based on your question's main dimensions, that is help, knowledge and motivation. Speaking about the first dimension, it is unclear to me what do you mean, so I will leave this aspect for you to clarify and for others to address.



In regard to knowledge, the best advice I can give is to get a decent book specifically on writing literature reviews (i.e., Hart, 2005) or, even, a good book on research methodology, which has comprehensive enough chapter on the topic (i.e., Booth, Colomb & Williams, 2004; Creswell, 2007, 2014; Davis & Parker, 1997). This is just to start. More importantly, IMHO, after you will read some theory on writing literature reviews or research manuscripts, is to start reading real literature reviews: either review/survey papers (for Computer Science, there are specialized journals that publish such papers, for example, ACM Computing Reviews and ACM Computing Surveys), or simply focused research papers on the topic of your interest (most of them will have a corresponding section, which is usually titled "Review of Literature", "Introduction", "Background", "State of the Art" or similarly).


Speaking about motivation for writing a literature review, that IMHO should come from your excitement about (interest in) a particular topic. If you won't have excitement or, at least, enough interest in a topic, I don't see how you can obtain motivation. It's that simple. Your other questions are rather broad, but I'm sure that you will be able to answer most of those questions after reading some foundational literature on research methodology, as I recommended above.


References


Booth, W., Colomb, G., & Williams J. (2004). The craft of research (2nd ed.). Chicago, IL: The University of Chicago Press.


Creswell, J.W. (2007). Qualitative inquiry & research design: Choosing among five approaches (2nd ed.). Thousand Oaks, CA: Sage.


Creswell, J.W. (2014). Research design: Qualitative, quantitative, and mixed methods approaches (4th ed.). Thousand Oaks, CA: Sage.


Davis, G. B., & Parker, C. A. (1997). Writing the doctoral dissertation: A systematic approach (2nd ed.). Hauppauge, NY: Barrons Educational Series.


Hart, C. (2005). Doing a literature review: Releasing the social science research imagination. Thousand Oaks, CA: Sage Publications.


united states - Why are tuition fees for PhD students so high in the USA, despite not taking any class?



As a PhD student in a US university, my tuition fees are ~44,000 USD per year, despite the fact that I don't take any class: only 6 classes are required during the PhD program, and I've completed them during the first two years. Why are tuition fees so high? (tuition is paid by fellowship / RA / TA / ...)



Answer



I think it is essentially a scam. There are essentially 3 types of students (1) self funded, (2) departmentally funded, (3) externally funded. For departmentally funded students the tuition fees are essentially meaningless and just represent money being shifted around internally. Self funded students can be really hurt by large tuition fees, but departments can offset these fees by partial departmental funding (again just internally transferring money around). The scam comes when students are funded externally and the external funder is required to pay the full fee (and potentially even indirect costs on the tuition fees). Things get messy when the funding has a cap on tuition fees. For example the NIH NRSA pays 60% of the tuition up to $16,000 plus a $4,200 "institutional" allowance. Most departments I am aware of offer a tuition subsidy to individuals who get an NRSA.


It is worth noting that high fees not only puts PIs at expensive universities at a disadvantage (okay to be fair, it reduces their advantage) in that their research is more expensive than someone at a cheaper university, but it also puts them in an ethical dilemma. When tuition fees make hiring a PhD student more expensive than a post doc, it is hard for a PI to justify hiring a PhD student.


Monday 19 February 2018

computer science - General structure of Research Statement (applying for faculty position)


I'm going to apply for assistant professor positions (in theoretical computer science) soon, and I'm trying to get a feeling for how to write a good research statement.



  1. Should it contain a detailed overview of my (recent?) publications?

  2. If the answer to 1 is yes, should I highlight my specific contributions in multi-author papers - as opposed to "we proved this and that..." ?

  3. If the answer to 1 is yes, I must list the references here that I'm mentioning, which are also stated (in the full list of publications) in my CV, right?

  4. Assuming there's no page limit, what's an appropriate length for a research statement?



My current plan is to group my work into topics and then, for each topic, provide a short overview of the respective papers ("What I've done so far") and some outlook on some future work ("What I would like to do").




career path - Switching fields within biomedical sciences between PhD and postdoc?


I'm almost finished at my PhD, and I am currently looking for postdoc opportunities. My current field is quite a small one (a rare disease), and consequently all the postdoc positions I've found so far are in other fields - but still within biological/biomedical sciences.


At this stage I am strongly considering a move, but I also want to maximise my career potential. I have interests - and have previously worked - in other fields, but don't feel tied to any one field.


My question is, what are the pros and cons of switching fields at this stage? How much weight should I put on my subject knowledge and publication record in the current field vs. transferrable skills? And how much weight would a potential employer put on these aspects?



Answer



My background for context: BSc Mathematics, MSc Applied Mathematics, PhD Mathematical Modelling in Electrophysiology, Postdoc Biomedical statistician in gastroenterology but I avoided statistics like the plague right up to the end of my PhD. I found switching fields overall a hugely beneficial experience, although not without its drawbacks.


Pros:



  • You learn a LOT. I've found it really interesting to see how other fields work, and I feel like I'm more competent in a wider range of scientific techniques than I was when I finished my PhD. I was nervous about starting in a second field. Now, I would not be nervous about starting in a third field.

  • That said, I prefer this field to my old field. I want to stay in this field beyond the duration of my postdoc. And if you decide you want to go back to your old field, you can.


  • You can contribute in ways that no one else in your group can because you can suggest methods that no-one else knew existed. Things that are common in your field might be unheard of in your new field, which is a very fertile ground for novel science (this applies in reverse if afterwards you go back to your old field).

  • Your naivety about the field just means that you approach things with fresh eyes. You ask "stupid questions" and it turns out no one had ever asked them and they are actually really interesting.


Cons:



  • The imposter syndrome is real. You start off and the 2nd year PhD students know more than you. It feels like you're a student, but you're a postdoc. People mistake you for a student because of your lack of knowledge of some fundamental principles. But from a PhD, the thing you will have learned the most is how to learn, which is a transferable skill, so you'll catch up fast

  • Everyone I worked with has been very patient and understanding that this isn't my field, but I can imagine situations in which this isn't the case and people see you as incompetent


If you're willing to spend a while feeling like a first-year PhD student again for the benefits on the other side of that hurdle once you settle a bit, I would recommend it


copyright - Can I scan data from a paper for my own research?


I am a PhD student working in mechanical properties of materials and will be finishing soon. My PhD is in numerical modelling, so I need experimental data (stress-strain curves) to validate my programs. And this is where the situation starts to tangle:



  • There is a set of data published by a group from another university that I would like to test in my model. This data comes from lab experiments and they also did some numerical modelling trying to replicate it.

  • Some data is published in a paper and some other is published in a PhD thesis.

  • The PhD thesis is not available online, but can be accessed publicly (physically) in the library of the other university.

  • I have asked for the raw data and a copy of the PhD thesis to the other group and the response I got was: we are not going to send it to you, and we prohibit you to use any of our data in your research.

  • I then learned that there is a bad relationship between our group and their group because of historical competition.


Furthermore:




  • I have scanned the data in the paper (I created a program to fit the curves in the image and get an analytical expression for it) and run my simulations.

  • I happen to have a copy of the thesis (a third person gave me a scanned copy), so I did the same.

  • In both cases my numerical results are significantly better than those from the other group, which is why we think that my research would have a high impact.

  • Since I scanned their data I can generate my own figures, so I guess image copyright is left out of the equation.

  • I will, of course, cite where the data comes from.


I believe in open science, so I would never do what they did. However, I get their point on not wanting me to have the data, since they did the experiments. What I believe is not ethical/appropriate is banning me from using any of their data sets.


Finally, we could prepare these experiments in our lab, but it will take a couple of years, resources and expertise (which I don't have), so this is not viable.


So my questions are:




  • What are the implications of publishing my comparison with their data?

  • Is it ethical, given that I have been denied the use of the data?

  • Would there be any additional problems if we decided to publish a paper or publish the thesis as a book?



Answer



It might be helpful to consult some legal assistant at your university, because there is a bad relationship between our group and their group, so if they are really determined, they might want to make problems, so it would be good to have a backup plan, or just be sure that you are really not breaking any laws, and that your party will stand by your side in case things from the other group's side become dirty. (This is an awful situation, though.)


But that aside, the line of reasoning is quite straightforward: anything one publishes becomes publicly available and viable for research by others. I understand that they didn't publish a table with numerical data, but if you think that recreating it from a plot is methodologically fine, then in your paper you should just describe the method and of course give credit to the source.


evolution - Are there any multicellular forms of life which exist without consuming other forms of life in some manner?

The title is the question. If additional specificity is needed I will add clarification here. Are there any multicellular forms of life whic...