Sandwiched Grandparents and Biological Health Risks in China

This study examined the cross-sectional associations between intergenerational caregiving and health risks among sandwiched Chinese grandparents who provide care to grandchildren, great-grandparents, or both. Drawing on biomarker data from the 2011 wave of the China Health and Retirement Longitudinal Study (N range = 2,189–3,035), we measured age-related biological health risks of hypertension, diabetes, inflammation, and allostatic load. We found that health risks did not necessarily increase with the intensity of intergenerational caregiving. Providing care to grandchildren and great-grandparents simultaneously was not as detrimental to health as reported in earlier studies from the United States. Sandwiched grandparents could benefit from providing care to grandchildren or great-grandparents only. These unexpected findings might be related to the cultural mandates of filial piety and family solidarity in China. Grandfathers and grandmothers experienced different associations between varying types of intergenerational caregiving and health risks.

“Des personnages de si près tenus”, TV Fiction and Moral Consensus

How can we understand the adaptations of literary classics made for French television? We simultaneously analyzed the works and the context in which they were produced in order to relate the moral configurations that emerge in the stories to activities carried out by identifiable members of the production team, in specific, empirically observable circumstances. This empirical approach to the constitution of the moral panorama in which characters evolve rejects the idea of the pure autonomy of ideological contents, suggesting instead a study of the way normative demands and professional ethics are combined in practice, thus combining a sociology of characters and a sociology of professionals and showing how professional priorities influence production choices. This detaches the moral question from the philosophical horizon it is associated with in order to make it an object of empirial study. Adopting this perspective produces unexpected findings. Observation shows that the moral landscape in which characters are located is neither stable, autonomous, transparent, or consensual. It is instead caught up in material logics, constrained by temporal dynamics, and dependent on professional coordination. It is traversed by tensions between professional logics, and logics of regulation.

Narcolepsy and the Dissociation of REM Sleep and Cataplexy through Ambient Temperature Manipulation

Narcolepsy is characterized by increased REM sleep propensity and cataplexy. Although narcolepsy is caused by the selective loss or dysfunction of hypocretin (Hcrt) neurons within the lateral hypothalamus (LH), mechanisms underlying REM sleep propensity and cataplexy remain to be elucidated. We have recently shown that wild type (WT) mice increase REM sleep expression when exposed to thermoneutral ambient temperature (Ta) warming during the light (inactive) phase. We hypothesized that the loss of Hcrt may lead to exaggerated responses with respect to increased REM sleep and cataplexy during Ta warming. To test this hypothesis, Hcrt-KO mice were implanted for chronic sleep recordings and housed in a temperature-controlled cabinet. Sleep-wake expression and both spontaneous cataplexy and food-elicited cataplexy were evaluated at constant Ta and during a Ta manipulation protocol. Here we show several unexpected findings. First, Hcrt-KO mice show opposite circadian patterns with respect to REM sleep responsiveness to thermoneutral Ta warming compared to WT mice. As previously demonstrated, WT mice increased REM sleep when Ta warming is presented during the inactive (light) phase, whereas Hcrt-KO showed a significant decrease in REM sleep expression. In contrast, Hcrt-KO mice increased REM sleep expression upon exposure to Ta warming when presented during the active (dark) phase, a circadian time when WT mice showed no significant changes in REM sleep as a function of Ta. Second, we found that REM sleep and cataplexy can be dissociated through Ta manipulation. Specifically, although Ta warming significantly increased REM sleep expression in Hcrt-KO mice during the active phase, cataplexy bout number and total cataplexy duration significantly decreased. In contrast, cataplexy expression was favoured during Ta cooling when REM sleep expression significantly decreased. Finally, video actigraphy and sleep-wake recordings in Hcrt-KO mice demonstrated that Ta manipulation did not significantly alter waking motor activity patterns or waking or NREM sleep durations. These data suggest that neural circuits gating REM sleep and cataplexy expression can be dissociated with Ta manipulation.

Open-Access Data and Toolbox for Tracking COVID-19 Impact on Power Systems

Intervention policies against COVID-19 have caused large-scale disruptions globally, and led to a series of pattern changes in the power system operation. Analyzing these pandemic-induced patterns is imperative to identify the potential risks and impacts of this extreme event. With this purpose, we developed an open-access data hub (COVID-EMDA+), an open-source toolbox (CoVEMDA), and a few evaluation methods to explore what the U.S. power systems are experiencing during COVID-19. These resources could be broadly used for research, policy making, or educational purposes. Technically, our data hub harmonizes a variety of raw data such as generation mix, demand profiles, electricity price, weather observations, mobility, confirmed cases and deaths. Several support methods and metrics are then implemented in our toolbox, including baseline estimation, regression analysis, and scientific visualization. Based on these, we conduct three empirical studies on the U.S. power systems and markets to introduce some new solutions and unexpected findings. This conveys a more complete picture of the pandemic's impacts, and also opens up several attractive topics for future work. Python, Matlab source codes, and user manuals are all publicly shared on a Github repository.

Open-Access Data and Toolbox for Tracking COVID-19 Impact on Power Systems

Intervention policies against COVID-19 have caused large-scale disruptions globally, and led to a series of pattern changes in the power system operation. Analyzing these pandemic-induced patterns is imperative to identify the potential risks and impacts of this extreme event. With this purpose, we developed an open-access data hub (COVID-EMDA+), an open-source toolbox (CoVEMDA), and a few evaluation methods to explore what the U.S. power systems are experiencing during COVID-19. These resources could be broadly used for research, policy making, or educational purposes. Technically, our data hub harmonizes a variety of raw data such as generation mix, demand profiles, electricity price, weather observations, mobility, confirmed cases and deaths. Several support methods and metrics are then implemented in our toolbox, including baseline estimation, regression analysis, and scientific visualization. Based on these, we conduct three empirical studies on the U.S. power systems and markets to introduce some new solutions and unexpected findings. This conveys a more complete picture of the pandemic's impacts, and also opens up several attractive topics for future work. Python, Matlab source codes, and user manuals are all publicly shared on a Github repository.

Prior selfing occur in larger flowers in a mixed mating species with delayed selfing

Theory predicts that prior self-pollination (prior selfing) should not evolve in mixed mating species that enable delayed selfing. In this study, we test the hypotheais that prior selfing has evolved under severe pollinator limitation in the mixed mating species Commelina communis which can reproduce via delayed selfing. The hypothesis predicts that prior selfing occurs more frequently in populations with very low pollinator availability and/or in smaller flowers which receive infrequent visitations. We tested the predictions by comparing the degree of prior selfing among ten populations experiencing various levels of pollinator limitation and by examining a relationship between individual flower size and the occurrence of prior selfing. Populations with higher pollinator availability had higher prior selfing rate. Moreover, prior selfing occurs more frequently in larger flowers. These findings were totally opposite patterns of the predictions and the previous findings. We proposed new hypotheses that prior selfing has been maintained by the presence of reproductive interference from the congener and/or propotency in C. communis to explain our unexpected findings. We should verify potential effects of reproductive interference and propotency in future to elucidate the mystery of prior selfing in this mixed mating species with delayed selfing.

On the Meaning of the “P Factor” in Symmetrical Bifactor Models of Psychopathology: Recommendations for Future Research From the Bifactor-(S−1) Perspective

Symmetrical bifactor models are frequently applied to diverse symptoms of psychopathology to identify a general P factor. This factor is assumed to mark shared liability across all psychopathology dimensions and mental disorders. Despite their popularity, however, symmetrical bifactor models of P often yield anomalous results, including but not limited to nonsignificant or negative specific factor variances and nonsignificant or negative factor loadings. To date, these anomalies have often been treated as nuisances to be explained away. In this article, we demonstrate why these anomalies alter the substantive meaning of P such that it (a) does not reflect general liability to psychopathology and (b) differs in meaning across studies. We then describe an alternative modeling framework, the bifactor-( S−1) approach. This method avoids anomalous results, provides a framework for explaining unexpected findings in published symmetrical bifactor studies, and yields a well-defined general factor that can be compared across studies when researchers hypothesize what construct they consider “transdiagnostically meaningful” and measure it directly. We present an empirical example to illustrate these points and provide concrete recommendations to help researchers decide for or against specific variants of bifactor structure.

Report of unexpected findings after cardiac stem cell injections in a preclinical model

Introduction Cardiac regenerative therapy is a proposed therapy for ischemic heart disease. So far efficacy has been low and this might partly be explained by low cardiac cell retention. In this study we aimed to investigate if cardiac cell retention improves using ureido-pyrimidinone units (UPy-gel) as a cell carrier. Methods We used an ischemia-reperfusion model. Pigs were randomized to intramyocardial injections with mesenchymal stromal cells (MSC) labelled with both Indium-111 and a fluorescent tracer in either PBS or in the UPy-gel. After 4 hours, a total body scintigraphy was performed to determine the cardiac cell retention and histology was obtained. Results In the first 4 pigs, we noticed focused areas of radio activity (hotspots) outside the heart in both the control and UPy-gel arm, and decided to interrupt the study. At histology we confirmed one hotspots to be located in a lymph node. No satisfactory explanation for these, potentially harmful, hotspots was found. Conclusion This study was interrupted due to unexpected extra-cardiac hotspots. Although we do not have a conclusive explanation for these findings, we find that sharing these results is important for future research. We recommend to use total body imaging in future retention studies to confirm of reject the occurrence of extra-cardiac cell accumulation after intramyocardial cell injection and discover the pathophysiology and its clinical implications.

Can a Set of Questions after Routine Cataract Surgery Predict Unexpected Findings and Avoid an Unnecessary Follow-Up Visit?

Background and Objectives: to evaluate whether a set of questions after a routine cataract surgery can predict unexpected findings and avoid an unnecessary follow-up visit. Materials and Methods: single-center, prospective, cohort study included 177 routine cataract surgery cases of two experienced surgeons between November 2019 and December 2020. Inclusion criteria included unremarkable postoperative day one follow-up examination. A set of seven questions regarding complaints with positive or negative answers was presented at the second follow-up visit (PV2)—one week (mean 8.34 ± 1.73 days) after the surgery. The outcome measures were the incidence of unexpected management changes (UMCs) at the PV2 visit (change or addition from a prescribed postoperative drop plan, extra procedures, an urgent referral to an ophthalmologist) and UMCs associations with the answers to a question set. Results: 81.4% of patients had no complaints about postoperative ocular status and answered with negative answers, 18.6% reported one or more complaint (positive answer): dissatisfaction with postoperative visual acuity (6.2%, 11 cases), eye pain (4.0%, 7 cases), increase in floaters after the surgery (4.0%, 7 cases), red eye (4.0%, 7 cases) and others. The prevalence of UMCs at PV2 was 1.7% (3 cases), of which 0.6% (1 case) was the prolonged antibiotic prescription due to conjunctivitis, 0.6% (1 case) was the addition of IOP lowering medication and 0.6% (1 case) was additional medication due to uveitis management. None of the complaints (positive answers) at PV2 were associated with the incidence of UMCs (p > 0.05). Conclusions: there were no associations of UMCs determined with positive answers to the questions. The prediction of UMCs incidence based on the positive answers was not obtained. Thus, we cannot exclude the necessity of a postoperative week one follow-up visit.