Managing ethical challenges around misattributed parentage within the clinical context: Insights from an African moral theory

This study argues the thesis that a set of guidelines ‐ firmly rooted in a particular interpretation of African moral theory, specifically, Ubuntu – will do a better job than current medical ethics frameworks, in addressing ethical challenges around misattributed parentage within the clinical context. Incidental information such as information with significant personal/health implications raises unique challenges for medical professionals. For example, withholding information of misattributed paternity accidentally discovered in clinical interactions may be seen by a patient as a violation of his/her right‐to‐know. Contrarily, disclosure where a patient has not requested information – or where establishing paternity is not the purpose of clinical visit/interaction – may be taken by the patient as a violation of his/her right ‘not‐to‐know’. Resolving these challenges remain a herculean task. African moral theory contains an under‐emphasized value for addressing such ethical challenges around misattributed parentage in the field of transplant. I seek to contribute this knowledge; and enhance clinician‐patient relationship. This study builds off three completed systematic reviews, which aimed to answer the following questions: “what are the ethical challenges regarding information health professionals face within the clinical contest?” and “what core aspects (or common themes) of Ubuntu can be identified in existing literature describing the same?” In this present study, I applied the definition of Ubuntu which captures the core aspects of the theory in ethical literature on the same, to address ethical issues around unsought information of misattributed parentage in the field of transplant.     

Uncertainty and Surprise Jointly Predict Musical Pleasure and Amygdala,Hippocampus, and Auditory Cortex Activity

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Background selection and FST: Consequences for detecting local adaptation

Background selection is a process whereby recurrent deleterious mutations cause a decrease in the effective population size and genetic diversity at linked loci. Several authors have suggested that variation in the intensity of background selection could cause variation in F_ST across the genome, which could confound signals of local adaptation in genome scans. We performed realistic simulations of DNA sequences, using recombination maps from humans and sticklebacks, to investigate how variation in the intensity of background selection affects F_ST and other statistics of population differentiation in sexual, outcrossing species. We show that, in populations connected by gene flow, Weir and Cockerham's (1984; Evolution, 38 , 1358) estimator of F_ST is largely insensitive to locus‐to‐locus variation in the intensity of background selection. Unlike F_ST, however, d_XY is negatively correlated with background selection. Moreover, background selection does not greatly affect the false‐positive rate in F_ST outlier studies in populations connected by gene flow. Overall, our study indicates that background selection will not greatly interfere with finding the variants responsible for local adaptation.     

基于奥马哈理论的护理模式 对慢性阻塞性肺疾病患者肺功能及细菌感染率的影响

目的探讨基于奥马哈理论的护理模式对慢性阻塞性肺疾病(COPD)患者肺功能、症状控制、细菌感染率及生活质量的影响。方法选取2018年1月至2019年1月我院收治的134例COPD患者,采用随机数字表法将研究对象分为观察组(n=69)与对照组(n=65),对两组患者住院期间肺功能、症状控制情况、细菌感染率、睡眠情况以及生活质量进行评估和分析。结果观察组患者肺功能情况优于入院时(P0.05)。两组患者泌尿系统感染发生率最高,其次为褥疮创面感染和口腔感染。观察组患者泌尿系感染的发生率低于对照组(P0.05)。两组患者干预后PSQI量表评分和CAT评分均低于入院前,且观察组患者总分低于对照组(均P0.05)。干预后观察组患者SF-36评分均高于对照组(均P0.05)。结论在基于奥马哈理论的护理模式下,COPD患者的肺功能得到加强,继发感染的发生减少,生活质量得到提高。     

Good anthropology in dark times: Critical appraisal and ethnographic application

‘Dark Anthropology’ and its complementary ‘Anthropology of the Good’ have become influential and debated notions in anthropology in recent years. I here parse distinctive features of these emphases, address their relation to theory and to ethnography, and consider the stakes involved in concretely applying their conceptual designations. I discuss the general shift in anthropology from grand theory to key concept, and the topical delimitation of theory that results. In larger purview, Dark Anthropology and the Anthropology of the Good both have long theoretical genealogies as well as practical contexts of political and social understanding, including vis‐à‐vis recent events in the U.S. and elsewhere. I suggest that considering the relationship between politico‐economically structured inequality and attempts to assert positive meaning and purpose is the most productive way to ethnographically apply their alternative conceptualisations. This brings to greater focus the thorny question of whose understanding of inequality or suffering, or of moral value and positive wellbeing, is being articulated—the sentiments of the people studied, or the concepts of the analyst? It seems vital to examine both analytic and indigenous views of dark times, and of the good, to refine our understanding of both, that is, in order to consider our complementary conceptualisations in relation to both sides of the emic/etic coin. This refines our understanding of local sensibilities and also of the appropriate limit points of our own conceptual associations.     

Modeling optimal responses and fitness consequences in a changing Arctic

Animals must balance a series of costs and benefits while trying to maximize their fitness. For example, an individual may need to choose how much energy to allocate to reproduction versus growth, or how much time to spend on vigilance versus foraging. Their decisions depend on complex interactions between environmental conditions, behavioral plasticity, reproductive biology, and energetic demands. As animals respond to novel environmental conditions caused by climate change, the optimal decisions may shift. Stochastic dynamic programming provides a flexible modeling framework with which to explore these trade‐offs, but this method has not yet been used to study possible changes in optimal trade‐offs caused by climate change. We created a stochastic dynamic programming model capturing trade‐off decisions required by an individual adult female polar bear (Ursus maritimus) as well as the fitness consequences of her decisions. We predicted optimal foraging decisions throughout her lifetime as well as the energetic thresholds below which it is optimal for her to abandon a reproductive attempt. To explore the effects of climate change, we shortened the spring feeding period by up to 3 weeks, which led to predictions of riskier foraging behavior and higher reproductive thresholds. The resulting changes in fitness may be interpreted as a best‐case scenario, where bears adapt instantaneously and optimally to new environmental conditions. If the spring feeding period was reduced by 1 week, her expected fitness declined by 15%, and if reduced by 3 weeks, expected fitness declined by 68%. This demonstrates an effective way to explore a species' optimal response to a changing landscape of costs and benefits and highlights the fact that small annual effects can result in large cumulative changes in expected lifetime fitness.     

How are nitrogen availability,fine‐root mass,and nitrogen uptake related empirically? Implications for models and theory

Understanding the effects of global change in terrestrial communities requires an understanding of how limiting resources interact with plant traits to affect productivity. Here, we focus on nitrogen and ask whether plant community nitrogen uptake rate is determined (a) by nitrogen availability alone or (b) by the product of nitrogen availability and fine‐root mass. Surprisingly, this is not empirically resolved. We performed controlled microcosm experiments and reanalyzed published pot experiments and field data to determine the relationship between community‐level nitrogen uptake rate, nitrogen availability, and fine‐root mass for 46 unique combinations of species, nitrogen levels, and growing conditions. We found that plant community nitrogen uptake rate was unaffected by fine‐root mass in 63% of cases and saturated with fine‐root mass in 29% of cases (92% in total). In contrast, plant community nitrogen uptake rate was clearly affected by nitrogen availability. The results support the idea that although plants may over‐proliferate fine roots for individual‐level competition, it comes without an increase in community‐level nitrogen uptake. The results have implications for the mechanisms included in coupled carbon‐nitrogen terrestrial biosphere models (CN‐TBMs) and are consistent with CN‐TBMs that operate above the individual scale and omit fine‐root mass in equations of nitrogen uptake rate but inconsistent with the majority of CN‐TBMs, which operate above the individual scale and include fine‐root mass in equations of nitrogen uptake rate. For the much smaller number of CN‐TBMs that explicitly model individual‐based belowground competition for nitrogen, the results suggest that the relative (not absolute) fine‐root mass of competing individuals should be included in the equations that determine individual‐level nitrogen uptake rates. By providing empirical data to support the assumptions used in CN‐TBMs, we put their global climate change predictions on firmer ground.