How should we study social suffering?

This commentary argues that intellectual fragmentation is not only bad for the study of poverty, prejudice and penalty; it is bad for the problems themselves. Considering new objects of analysis for research on inequality – that is, critically reconsidering what it is that we should be studying in the first place – is proposed as a viable preventative to academic parochialism and overspecialization.     

How should pathogen transmission be modelled?

Host-pathogen models are essential for designing strategies for managing disease threats to humans, wild animals and domestic animals. The behaviour of these models is greatly affected by the way in which transmission between infected and susceptible hosts is modelled. Since host-pathogen models were first developed at the beginning of the 20th century, the 'mass action' assumption has almost always been used for transmission. Recently, however, it has been suggested that mass action has often been modelled wrongly. Alternative models of transmission are beginning to appear, as are empirical tests of transmission dynamics.     

Aposematism: what should our starting point be?

The evolution of aposematism is considered to be a major evolutionary problem because if new aposematic forms emerged in defended cryptic populations, they would face the dual problems of rarity and conspicuousness. We argue that this commonly assumed starting point might not have wide validity. We describe a novel evolutionary computer model in which prey evolve secondary defences and become conspicuous by moving widely over a visually heterogeneous habitat. Unless crypsis imposes high opportunity costs (for instance, preventing prey from efficient foraging, thermoregulation and communication), costly secondary defences are not predicted to evolve at all. However, when crypsis imposes opportunity costs, prey evolve secondary defences that facilitate raised behavioural conspicuousness as prey exploit opportunities within their environment. Optimal levels of secondary defence and of behavioural conspicuousness increase with population sizes and the costs imposed by crypsis. When prey are already conspicuous by virtue of their behaviours, the evolution of aposematic appearances (bright coloration, etc.) is much easier to explain because aposematic traits add little further costs of conspicuousness, but can bring large benefits.     

Alcodemia: are we training our students to be great thinkers or great drinkers?

Academia has fostered an unhealthy relationship with alcohol that has an undeniable impact on the health and behaviour of students and staff. Subject Categories: S&S: History & Philosophy of Science, Chemical Biology, S&S: Ethics

University life has a lot to offer. And, for better or worse, much of it goes hand in hand with a bottle. Believe it or not, I was a bit of teetotaler in my undergraduate days but quickly made up for it in graduate school, where each celebration included inebriation. Indeed, my initial tour of the laboratory I eventually worked in included a refreshing visit to the grad club. Orientation week ended with a marathon beer blitz at a nightclub. The semester’s first invited seminar speaker was welcomed with the sounds of loose change, ice buckets and the clickity‐clack of organic microbrews being opened. Our inaugural genome evolution journal club was such a success that we vowed to spill even more red wine onto our notebooks the following week. In hindsight, I should have realized at this early stage in my studies that I was fostering an unhealthy and unsustainable relationship between biology and booze. Unfortunately, my post‐graduate education in alcohol didn’t stop there.Like many keen students, I arrived at my first scientific conference with a belly full of nerves and a fistful of drink tickets, which I quickly put to good use at the poster session. The successful completion of my PhD proposal assessment was met with pats on the back as I was swiftly marched off to a local pub with no chance of escape. My first peer‐reviewed paper literally arrived with a pop as Champagne was generously poured into plastic cups for the entire laboratory group. My failures, too, were greeted with a liberal dose of ethanol. “Sorry you came up short on that scholarship application, Smitty. It’s nothing a little weapons‐grade Chianti won’t cure.” “That experiment failed again! Come on, let me buy you a lunchtime martini to make up for it.” Soon I learnt that every academic event, achievement or ailment, no matter how big or small, could be appropriately paired with beer, wine or spirit. Missing from the menu were two crucial ingredients for any burgeoning researcher: moderation and mindfulness.But it was the older vintages that really inspired me – the legendary drinking escapades of my scientific mentors, advisors and idols. The tale of professor so‐and‐so who at that epic meeting in 1993 polished off an entire magnum of rosé at dinner and then went on to deliver among the greatest keynote lectures on record at 9 am the following morning. That celebrated chaired researcher who kept the single malt next to the pipette tips for quick and easy access. The grizzled evolutionary ecologist who never went into the field without half a dozen cans of high‐end smoked oysters and two hip flaks, which didn’t contain water. And so, when I was told by someone in the know of how the most famous geneticist on campus wrote that monumental Nature paper (the one I’d read ten times!) while locked in his office for twelve hours with a six‐pack, I bought into the romance hook, line and sinker. The result: I’ve been nursing a recurring headache for nearly two decades and I’m still waiting on that Nature paper. Most importantly, I now realize the various dangers of romanticizing the bottle, especially for individuals in mentorship positions.Like my idols before me, I’ve accrued a cask full of well‐oaked academic drinking stories, except that they haven’t aged well. There is that heroic evening of intense scotch‐fueled scientific discussion, which led to me forfeiting two front teeth to the concrete sidewalk (my mother still thinks it was a squash accident). Or that time I commemorated the end of a great conference in Barcelona by throwing up on the front window of a café while the most prominent minds in my field sipped aperitifs inside (thank god this was before Twitter). Even more romantic: me buying a bottle of Cotes de Nuits Burgundy at Calgary airport on route to a job interview, discreetly opening the bottle in‐flight because economy class wine sucks, and then being met by airport security upon landing. Let’s just say I didn’t get the job. To some, these anecdotes might seem light‐hearted or silly, but they are actually rather sad and underscore the seriousness of substance abuse. Many readers will have their own complicated experiences with alcohol in academia and, I believe, will agree that it is high time we asked ourselves: are we training our graduate students to be great thinkers or great drinkers? Moreover, this question does not address the equally if not more serious issue of excessive drinking among undergraduate students.As I sit at my desk writing this, I think to myself: is it normal that within a two‐minute walk of my university office there are three different places on campus that I can have a beer before lunch, not including the minifridge behind my desk? Is it normal that in my department the first thing we do after a student defends their thesis is go to the grad club where they can have any alcoholic drink of their choosing for free from the goblet of knowledge, which is kept on a pedestal behind the bar? Is it normal that before the COVID pandemic when I was visiting a prominent university for an invited talk, one of the professors I met with offered me a glass of expensive Japanese gin at 11 am in the morning? (And, yes, I accepted the drink.)Of course, if you don’t want to drink you can just say no. But we are learning more and more how institutional cultures – “the deeply embedded patterns of organisational behaviour and the shared values, assumptions, beliefs or ideologies that members have about their organisation or its work” (Peterson & Spencer, 1991) – can have powerful effects on behaviour. Excessive alcohol consumption is undeniably an aspect of collegial culture, one that is having major impacts on the health and behaviour of students and staff, and one that I’ve been an active participant in for far too long. I’ll be turning forty in a few months and I have to face the fact that I’ve already drunk enough alcohol for two lifetimes, and not one drop of it has made me a better scientist, teacher or mentor. The question remains: how much more juice can I squeeze into this forty‐year‐old pickled lemon? Well, cheers to that.     

Analytical quality--what should we be aiming for?

ISO 15189 5.5.1 "The laboratory shall use examination procedures, ... which meet the needs of the users of laboratory services and are appropriate for the examinations. Requirements for analytical quality include: understanding the analytical goal; seeking an assay that fulfills those goals; establishing your own performance with that assay; setting warning and action limits for your assay; applying quality control tools to every important step.     

How should dysplastic human hips be evaluated?

Dysplasia of the human hip is characterised by insufficient anterolateral covering of femoral head by the acetabulum. In our study, we evaluated dysplastic human hip joints using biomechanical parameters (the peak contact stress in the weight-bearing area of the hip - pmax) and X-ray image parameters (the centre-edge angle - thetaCE, the transverse acetabular inclination angle - thetaUS, the acetabular index of the weight-bearing zone - thetaAC, the ACM angle - thetaACM, and the hip value - HV). The purpose of this study is to make use of X-ray and biomechanical parameters to evaluate hips diagnosed with "hip dysplasia", and to establish whether or not there is a correlation between the two. Our results show a statistically significant correlation between pmax and thetaCE, thetaUS and thetaAC. The correlation between pmax and thetaACM and HV is not statistically significant.     

How should we interpret noncompliance with screening mammography?

Primary care practitioners have an important role to play in recommending breast cancer screening to patients in the target age group. In this issue of CMAJ (see pages 1335 to 1343) Dr. Marie-Dominique Beaulieu and associates report the results of a program designed to maximize utilization of screening mammography. Only two thirds of eligible women for whom screening mammography was prescribed obtained a mammogram within the 2-month study period. However, when taken in context, this compliance rate is fairly encouraging. There are many possible reasons for noncompliance such as a need for more information or for repeated suggestions. Family physicians should not become disheartened in their efforts to increase the use of screening procedures and may find that collaboration with others in giving consistent messages will help to maximize screening rates within their patient population.     

How should xanthine oxidase-generated superoxide yields be measured?

The rate of formation of superoxide measured by its reduction of tetranitromethane (TNM) and by its reduction of ferric cytochrome c (Fe(III) cc) are in excellent agreement when the superoxide is generated from a simple chemical precursor. In contrast, the rate of formation of superoxide generated in the reaction of xanthine oxidase with acetaldehyde is much higher (up to a factor of 6) when measured with TNM and compared with Fe(III) cc. It is shown that Fe(III) cc measures superoxide that has diffused from the enzyme, and that TNM probably scavenges all the dioxygen that is reduced by one electron by the enzyme. The TNM traps enzyme-bound superoxide in competition with the second-electron transfer and proton transfer, which normally yield hydrogen peroxide. The proton transfer is probably rate determining, k(p) 相似文献   

How should we define 'fitness' for general ecological scenarios?

Beginners in life history theory or evolutionary ecology seemingly face a variety of almost unrelated approaches. Yet the biomathematical literature of the last 10-20 years reflects the implicit acceptance of a common evolutionary framework, the core idea being that there exists a unique general fitness measure that concisely summarizes the overall time course of potential invasions by initially rare mutant phenotypes. Using such an invasion criterion to characterize fitness implicitly presupposes a scenario in which, during periods o f clear evolutionary change, the rate of evolution is set primarily by the random occurrence (and initial establishment) of favourable mutations. Evolutionarily stable life history strategies (ESSs) may then be regarded as traps for the evolutionary random walk.