CharonY
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Everything posted by CharonY
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The demonstration just turned deadly.
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If you do it just for fun and a few people that you know it is probably fine. However, if you really intend to run it as a business, you will need to look into paperwork, tax id numbers, bylaws etc. Also, even it is just for fun, be prepared for situations in which you either cannot fix the problem or accidentally break something.
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Academic positions: Time is spent between teaching, administrative work, leading a research group, writing and not sleeping. Requires PhD, highly competitive, so-so compensation. Staff scientist: Depending on institution it can be organizational (managing facility), providing service and/or conduction research projects. Often time-limited. Permanent positions exist but are extremely rare. Most of the time PhD is required. Industrial positions: typically the vast majority of available jobs. Can range from technician/analyst (usually MSc required) to the equivalent of project managers (i.e. diverse roles). There are few pure science careers per se (and most are academic in nature), rather, there are jobs that require science degrees.
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Attenuated strains are simply viruses that have very low virulence in the target organism. They are produced by either by selection or, in some cases, targeted mutagenesis. They are typically propagated in vitro and quality control is quite complex and includes testing of the cultures (to ensure that they are still pure and only contain the virus), animal testing using susceptible models and so on. The theoretical risk is that somehow, attenuated strains may acquire further mutations that turn them virulent again. The only example I can think of where it actually has happened are the case of polio vaccines with something in the order of 20ish outbreaks in a decade throughout the world (interestingly, typically in regions where vaccination was inadequate). However, in order to allow transmission, the vaccinated individual would first have to become sick. But again, these are incredibly rare incidences, far outweighed by the risk of actual chance infection, especially in populations with low vaccination rates.
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I am not entirely sure that Kim Jong Un is entirely insane. He could be acting rational within the confines of the rather cult-like system he is operating in.But sure, t in NK the risks and consequences of a madman in power are vastly higher.
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It seems that China establishes itself as a major player in the conflict and is sending a message to Pyongyang and Washington.
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Actually, he is a biochemist and the book has little biology. Depends on how advanced you are, you may want to take a look at Campbell, Biology. If you are more interested in essays than biology, I can recommend most of Stephen Jay Gould's books (not cutting edge anymore, but very well written), Dawkin's Ancestor's Tale, maybe.
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I just had to add the full transcripts between Trump and Peña Nieto and Turnbull after he took over office. The media have focused on the policy bits but I find it interesting to see the master negotiator at work. To be honest, I kinda hoped that during talks with foreign leaders he would be less old man rambly, but that is apparently how he is.
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I also wonder how one managed to make the leap from "the media is highlighting increasing deaths from a drug" to "the government is replacing drugs with a more lethal version".
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That is a pity as in the article they referenced the paper (as well as some others) that the article was based on. Since the one writing the article is not a journalist but actually one of the co-authors, it is also more accurate than many articles you may find. Anyhow, look at those: Cheng et al. Ocean Sci., 12, 925-935, 2016. Also of interest: Cheng et al Science Advances 2017 Vol. 3, no. 3, e1601545 Trenberth et al. JCLI 2016
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You may be thinking of backtesting or hindcasting. Which is a way to look into the accuracy of temporal models. I.e. taking a certain time frame to build the model, build in assumptions in terms of forcings and then run the model and compare it with the full historic data set to see whether the assumptions are correct. More impressively, since many models were created a while ago, it is not possible to also look at the predictions people made a decade ago and see whether they hold and for a number of the most important ones, it seems to be the case.
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A little while ago Bill Bowder has given his testimony to the Senate. While it is not specifically about the Trump administration, it provides the backstory the Magnitsky act and why Natalia Veselnitskaya was interested in it.
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Actually I would be careful with generalizations in that regard. There are studies that indicate that sexual selection often favours dissmilarities in major histocompatibility complex genes. I.e. people prefer people who are genetically dissimilar (and hence likely to look different). The reason being that a larger variety in these genes offers selective advantages to combat pathogens. A difficulty here is the large numbers of covariates and the complexity of outcomes (such as stability of relationships). For example, having a similar background can lead to more stable relationships as one shares a similar language and beliefs.Also, people with same background may also be more genetically similar. If one only considers genetics, one may assume that the basic is genetic, whereas it just coincides with the actual determining factor.
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I am always surprised how the discussion on this topic devolves every time. The discussion could very well end by stating that a varied diet with low amount of meat is associated with better health outcomes. Depending on the individual, some variations are healthier than others. If one had to choose between only meat diet or only vegetable diet, the latter is associated with better health. However, especially those that are prone to certain deficiencies (including children, elderly, etc.) benefit from at least some levels of meat (at which the negative effects of high-meat diets virtually vanish) or at least require supplements (which in itself can be problematic).
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To clarify, the calculations were based on the nationwide likelihood of a white candidate being accepted with affirmative action (25%) and without (~26%). It is not the rate of students actually being impacted (Bowen and Brok). The impact is actually concentrated on the minority population. I will add that the calculations were done around 2000, but numbers from 2012 Harvard admission data also found a maximum increase of 1.2%- and that is under the assumption that none of the minorities would have gotten admitted without affirmative action (which is clearly laughable). If we want to discuss how many more white students would be admitted, the increase is less than 1% (I believe around 0.3%, but I have to hunt down the source again). Quotas would mostly impact Asians (the shift in admission chance is closer to 5% IIRC). However, I find it interesting that the discussion is often about how it unfairly benefits e.g. Hispanics or blacks but not how it actually also benefits whites over Asians. I.e. if you are Asian, it is more likely that a white person took your seat than a black one (simply because there are more white candidates). I will have to look at numbers, but I think especially in highly competitive schools abolishing affirmative action is likely to increase Asian population, rather than white. It is important to note that affirmative actions are not quotas. They are more like guidelines, which allows admission officers to take race (which often can be correlated with school districts) into account in what is described as a holistic approach. This also includes e.g. extracurricular activities. Especially the latter can be said to further disadvantage groups that have less access to such activities, be it for financial and/or infrastructure reasons.
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Take a look at Sicarri's post and try to reconcile it with your assumption that fentanyl is a) replacing oxycodone in use, b) that it is pushed by the government and c) that its ban would solve the overdose deaths.
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One tricky bit is that for prescription typically only total opioid prescriptions are monitored, but not the individual types. That information is more often indicated in overdose cases. However, as shown above, the number of fentanyl prescriptions remained steady over the last ~5 years, whereas overdose cases massively increased. So even if there were some kind of pressure, it apparently had no effect on prescription rates.
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One thing that one should add that the effect for the majority is actually really small. Studies as early as in the late 90s (Kane 1998) have shown that racial preferences are a) concentrated in the top universities and b) even in extreme calculations the likelihood for admission of non-minority student barely changes (roughly around 1%).
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Indeed. The problem is clearly multidimensional and at minimum better means for the treatment of addicts are needed, but also alternatives to pain control to reduce the significant proportion of addictions that arise from the legal use of prescription drugs. Unfortunately, as history has shown, if there is a demand, supply finds its way.
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Excellent. I had hoped for didactic reasons, that OP would search for it, but since you did all the work, it should be sufficient to challenge the assumptions. One thing that I forgot to mention is the formulation of tamper-free oxycodone, which cannot be easily crushed. Its introduction is strongly correlated with the sharp increase in heroin use, further showing that addicts turn to illegal sources when deprived of one. Controlling legal routes of the substance in itself does not seem to be sufficient to curb deaths.
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I think it depends on how you define digestion. Normally it would refer to an active process involving e.g. enzymatic actions. I guess, in a pinch you could also describe the release of compounds from a tablet as digestion, but personally I would find it slightly unusual. That being said, ibuprofen is usually delivered in a racematic formulation and after absorption by the body there is a conversion from the R- to the S-entatniomer, IIRC,
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You are correct, of course. I mistyped.