Miracle-dz/UniFAR-FTUs huggingface dataset:
A Novel Retrospect-Inspired Regime for Microgrid Real-Time Energy Scheduling With Heterogeneous Sources

High renewables embedded microgrid is an emerging paradigm of distributed power systems, which can locally digest intermittent generation and load demand. Due to less aggregation effect, the uncertainty issues associated with renewables and load become much more evident in small-scale microgrids, which make the energy scheduling issue even more challenging to be resolved. In this field, there generally exist two obstacles to convert the scheduling approaches into practice, which are 1) overly assumed renewable forecasting accuracy and 2) lack of effective platforms for field testing. In this paper, we firstly propose a retroactive scheduling regime in handling heterogeneous schedulable sources in small-scale microgrids, of which the decision-makings can be robust to future uncertainties. To verify the effectiveness of the proposed regime, mathematical proofs are rigorously provided for its algorithmic mechanism and performance guarantee. We then contribute a platform design to facilitate power hardware-in-the-loop experiments in a generic architecture. Experimental results demonstrate the effectiveness of the proposed regime, which suggest a high potential of its practical application.
A Journey through Genetic Architecture and Predisposition of Coronary Artery Disease

Introduction To halt the spread of coronary artery disease (CAD), the number one killer in the world, requires primary prevention. Fifty percent of all Americans are expected to experience a cardiac event; the challenge is identifying those at risk. 40 to 60% of predisposition to CAD is genetic. The first genetic risk variant, 9p21, was discovered in 2007. Genome-Wide Association Studies has since discovered hundreds of genetic risk variants. The genetic burden for CAD can be expressed as a single number, Genetic Risk Score (GRS). Assessment of GRS to risk stratify for CAD was superior to conventional risk factors in several large clinical trials assessing statin therapy, and more recently in a population of nearly 500,000 (UK Biobank). Studies were performed based on prospective genetic risk stratification for CAD. These studies showed that a favorable lifestyle was associated with a 46% reduction in cardiac events and programmed exercise, a 50% reduction in cardiac events. Genetic risk score is superior to conventional risk factors, and is markedly attenuated by lifestyle changes and drug therapy. Genetic risk can be determined at birth or any time thereafter. Conclusion Utilizing the GRS to risk stratify young, asymptomatic individuals could provide a paradigm shift in the primary prevention of CAD and significantly halt its spread.
Ecological and Evolutionary Significance of Locomotor Performance in Collared Lizards (Crotaphytus Collaris)

– To understand how selection acts on performance capacity, the ecological role of the performance parameter being measured must be determined. Knowing if and when an animal uses maximal performance capacity may give insight into what specific selective pressures may be acting upon morphology and performance, because individuals are expected to use close to maximal capacity only in contexts involving an important selective force. Further, if a selective force is important, poor performers are expected to behaviorally compensate. To understand the relative roles of natural and sexual selection on maximal sprint speed capacity I measured maximal sprint speed of collared lizards (Crotaphytus collaris) in the laboratory and field-realized sprint speed for the same individuals in three different contexts (foraging, escaping a predator, and responding to a rival intruder). Females used closer to maximal speed while escaping predators than in the other contexts. Adult males, on the other hand, used closer to maximal speed while responding to an unfamiliar male intruder tethered within their territory. Sprint speeds during foraging attempts were far below maximal capacity for all lizards. Yearlings appeared to compensate for having lower absolute maximal capacity by using a greater percentage of their maximal capacity while foraging and escaping
The changing therapeutic landscape, burden of disease, and unmet needs in patients with cutaneous T‐cell lymphoma

Cutaneous T‐cell lymphomas (CTCLs) have a chronic, relapsing course, and the most common subtypes are mycosis fungoides and Sézary syndrome. The disease causes visible skin alterations and can also cause alopecia, pruritus and pain, all of which can impact patients’ health‐related quality of life (HRQoL). The goal of treatment is to reduce symptoms and prevent disease progression. However, treatment recommendations are often based on low levels of evidence due to the lack of well‐designed randomised clinical trials and treatment guidelines, and approved drugs vary considerably across different countries and regions. Currently, available treatments rarely lead to durable remissions and eventually become less effective, meaning patients often require multiple therapy changes. Skin‐directed therapies (SDTs) are first‐line treatments for early‐stage CTCL, whereas systemic therapies may be needed for early‐stage disease that does not respond to SDT or for advanced‐stage disease. However, patients can experience significant side‐effects with these treatments or may be unable to tolerate them. Hence, there is an unmet need for effective therapies with good safety profiles for the treatment of early‐ and late‐stage CTCL. Here, we review current treatment guidelines, investigational and approved treatments, the impact of CTCL on patients’ HRQoL, and the treatment of pruritus.
Autophagy under construction: insights from in vitro reconstitution of autophagosome nucleation

ABSTRACT Macroautophagy/autophagy is a complex process that involves over 40 proteins in Saccharomyces cerevisiae. How these proteins are organized, and their activities orchestrated to facilitate an efficient autophagic mechanism remain elusive. Sawa-Makarsha et al. reconstitute the initial steps of autophagosome biogenesis during selective autophagy using autophagy factors purified from yeast. Their results show that Atg9 vesicles serve as platforms for the recruitment of the autophagy machinery, and establish membrane contact sites to initiate lipid transfer for autophagosome biogenesis. Abbreviations: GUV, giant unilamellar vesicles; PAS, phagophore assembly site; PL, proteolipisomes.
BETA-3 RECEPTOR AGONIST, MIRABEGRON RELAXES ISOLATED PROSTATE FROM HUMAN AND RABBIT: NEW THERAPEUTIC INDICATION

Calmasini F B, Candido T T, Alexandre E C, D'Ancona C, Silva D, de Oliveira M A, De Nucci G, Antunes E, Mónica F Z 1. Department of Pharmacology, Faculty of Medical Sciences, State University of Campinas (UNICAMP), Campinas, Brazil, 2. Divison of Urology, Faculty of Medical Sciences, State University of Campinas (UNICAMP), Campinas, Brazil, 3. Department of Pharmacology, (UNICAMP), Campinas, Institute of Research and Development, University of Vale do Paraíba (UNIVAP) Sao Paulo, Brazil, 4. Department of Pharmacology, (UNICAMP), Campinas, Department of Pharmacology, Institute of Biomedical Sciences, University of Sao Paulo (USP), Sao Paulo, Brazil
3D Cell Printing of Tissue/Organ-Mimicking Constructs for Therapeutic and Drug Testing Applications

The development of artificial tissue/organs with the functional maturity of their native equivalents is one of the long-awaited panaceas for the medical and pharmaceutical industries. Advanced 3D cell-printing technology and various functional bioinks are promising technologies in the field of tissue engineering that have enabled the fabrication of complex 3D living tissue/organs. Various requirements for these tissues, including a complex and large-volume structure, tissue-specific microenvironments, and functional vasculatures, have been addressed to develop engineered tissue/organs with native relevance. Functional tissue/organ constructs have been developed that satisfy such criteria and may facilitate both in vivo replenishment of damaged tissue and the development of reliable in vitro testing platforms for drug development. This review describes key developments in technologies and materials for engineering 3D cell-printed constructs for therapeutic and drug testing applications.
A class of generalized linear mixed models adjusted for marginal interpretability

Two popular approaches for relating correlated measurements of a non‐Gaussian response variable to a set of predictors are to fit a marginal model using generalized estimating equations and to fit a generalized linear mixed model (GLMM) by introducing latent random variables. The first approach is effective for parameter estimation, but leaves one without a formal model for the data with which to assess quality of fit or make individual‐level predictions for future observations. The second approach overcomes these deficiencies, but leads to parameter estimates that must be interpreted conditional on the latent variables. To obtain marginal summaries, one needs to evaluate an analytically intractable integral or use attenuation factors as an approximation. Further, we note an unpalatable implication of the standard GLMM. To resolve these issues, we turn to a class of marginally interpretable GLMMs that lead to parameter estimates with a marginal interpretation while maintaining the desirable statistical properties of a conditionally specified model and avoiding problematic implications. We establish the form of these models under the most commonly used link functions and address computational issues. For logistic mixed effects models, we introduce an accurate and efficient method for evaluating the logistic‐normal integral.
Academic Safety Planning: Intervening to Improve the Educational Outcomes of Collegiate Survivors of Interpersonal Violence

Demonstrated impacts of intimate partner violence (IPV) and sexual assault (SA) for college students include negative outcomes related to mental, physical, emotional, and academic well-being. As a result of increasing awareness of the long-standing epidemic of IPV and SA on college campuses, Institutions of Higher Education (IHEs) are expanding the services provided to survivors of IPV and SA, including campus-based advocacy services that are adapted from community models. Like community advocacy, campus-based advocacy services focus on empowerment, support, resource provision, and addressing safety needs. However, the unique context of higher education produces specific student-centered needs, including an increased focus on educational goals, academic accommodations, and safety planning. The current study seeks to shed new light on the specific foci and tasks of advocacy in the context of IHEs, related to what we call “academic safety planning,” and to highlight the experience of student service recipients utilizing these forms of advocacy. Thematic analysis of 48 qualitative interviews with advocates (n = 23) and service users (n = 25) from five programs at three universities was used to discover practices applied by campus-based advocates and to understand student-survivor needs and preferences within academic safety planning. Findings reveal the core components of academic safety planning, which are: (a) Advocating for emotional and physical safety in the university context, (b) Assessing and identifying needed academic accommodations, and (c) rebuilding connections and institutional trust at school. These interviews reveal that academic safety planning has the potential to enhance the academic outcomes of survivors, which in turn could lead to important improvements in long-term personal safety, well-being, and economic security for student-survivors.
Recent Practice Patterns and Variations in Children Hospitalized for Asthma Exacerbation in Japan

Background: High antibiotic prescribing rates for adults with an asthma exacerbation have been reported in developed countries, but few studies have assessed the variation of antibiotic and adjunctive treatment in the routine care of children. Objective: We evaluated the trends in health resource utilization for children hospitalized for asthma exacerbation, ascertained the variations of practices across hospitals and geographic location, and classified these different patterns at hospital levels. Methods: Using data on Japanese children hospitalized for asthma exacerbation with no indication of bacterial infection during 2010–2018, we conducted a retrospective observational study to assess the trends in initial treatment patterns and their variations. Mixed-effect generalized linear models were used to investigate the treatment trends. Hierarchical cluster analyses were performed to classify the treatment variations across hospitals. Results: Overall, 54,981 children were eligible for the study. Proportions of antibiotic use decreased from 47.2% in 2010 to 26.9% in 2018. Similarly, utilization of antitussives, antihistamines, and methylxanthine showed decreasing trends over the period, whereas the use of mucolytics and ambroxol increased. These treatment variations were more considerable in hospital levels than in 47 prefecture levels. Hierarchical cluster analyses classified these patterns into 6 groups, mostly based on mediator release inhibitor, ambroxol, and antitussives. Conclusions: Wide variations in antibiotics and adjunctive treatments were observed across hospital levels. Our findings support the improvement in reducing inappropriate antibiotic use and highlight the need for comparative effectiveness research of the adjunctive treatments among children hospitalized for asthma.
Effectiveness of computer-based training on post-stroke cognitive rehabilitation: A systematic review and meta-analysis

ABSTRACT A systematic review and meta-analysis based on randomized controlled trials (RCTs) from the last 10 years was conducted to identify the effect of computer-based training compared to routine methods on post-stroke cognitive rehabilitation and to provide recommendations for future research. A literature search was performed in the Cochrane Library, EMBASE, PubMed, EBSCO (CINAHL), and Web of Science that focused on studies comparing the effects of computerized cognitive training and routine methods in stroke survivors. After extraction of the study characteristics and methodological quality evaluation, a meta-analysis was conducted using the standard model based on the level of the overall cognitive domain. Ten out of 201 studies were included in the systematic review, with a total of 600 stroke survivors. The average age of the participants ranged from 42.1 to 66 years old, 305 participants used the computer-based training method, and males accounted for approximately 58.5%. All studies compared the baseline characteristics of participants at the onset of their studies, and no significant difference was shown. Six studies that reported the results for the overall cognitive domain were further analyzed by meta-analysis. The outcome of the meta-analysis showed that the effect size was 0.61 with a 95% confidence interval [−0.18, 0.35], and the P value (P = 0.54) indicated no significant difference between the control group and the computer-based cognitive training group. The results of the meta-analysis, based on a limited number of studies, did not show significant superiority of computer-based cognitive training compared to the traditional method in post-stroke patients. More high-quality studies focusing on different illness phases and various types of intervention software should be conducted to improve the meta-analysis and to explore the influence of computer-based cognitive training by subgroup analysis.
Exergaming With Beat Saber: An Investigation of Virtual Reality Aftereffects

Background Virtual reality (VR) exergaming has the potential to target sedentary behavior. Immersive environments can distract users from the physical exertion of exercise and can motivate them to continue exergaming. Despite the recent surge in VR popularity, numerous users still experience VR sickness from using head-mounted displays (HMDs). Apart from the commonly assessed self-reported symptoms, depth perception and cognition may also be affected. Considering the potential benefits of VR exergaming, it is crucial to identify the adverse effects limiting its potential and continued uptake. Objective This study aims to investigate the consequences of playing one of the most popular VR exergames for 10 and 50 min on aspects of vision, cognition, and self-reported VR sickness. Methods A total of 36 participants played an exergame, called Beat Saber, using an HMD. A repeated measures within-subject design was conducted to assess changes in vision, cognition, and well-being after short (10 min) and long (50 min) durations of VR exposure. We measured accommodation, convergence, decision speed, movement speed, and self-reported sickness at 3 test periods—before VR, immediately after VR, and 40 min after VR (late). Results Beat Saber was well tolerated, as there were no dropouts due to sickness. For most participants, any immediate aftereffects were short-lived and returned to baseline levels after 40 min of exiting VR. For both short and long exposures, there were changes in accommodation (F1,35=8.424; P=.006) and convergence (F1,35=7.826; P=.008); however, in the late test period, participants returned to baseline levels. Measures on cognition revealed no concern. The total simulator sickness questionnaire (SSQ) scores increased immediately after VR (F1,35=26.515; P<.001) and were significantly higher for long compared with short exposures (t35=2.807; P=.03), but there were no differences in exposure duration in the late test period, with scores returning to baseline levels. Although at a group level, participants’ sickness levels returned to baseline 40 min after VR exposure, approximately 14% of the participants still reported high levels of sickness in the late test period after playing 50 min of Beat Saber. We also showed that the participants who experienced a high level of sickness after a short exposure were almost certain to experience a high level of symptoms after a longer exposure. Conclusions Irrespective of the duration of exposure, this study found no strong evidence for adverse symptoms 40 min after exiting VR; however, some individuals still reported high levels of VR sickness at this stage. We recommend that users commit to a waiting period after exiting VR to ensure that any aftereffects have deteriorated. Exergames in HMDs have the potential to encourage people to exercise but are understudied, and the aftereffects of exergaming need to be closely monitored to ensure that VR exergames can reach their full potential.
Quantitative Label-Free Imaging of Lipid Domains in Single Bilayers by Hyperspectral Coherent Raman Scattering

Lipid phase separation in cellular membranes is thought to play an important role in many biological functions. This has prompted the development of synthetic membranes to study lipid–lipid interactions in vitro, alongside optical microscopy techniques aimed at directly visualizing phase partitioning. In this context, there is a need to overcome the limitations of fluorescence microscopy, where added fluorophores can significantly perturb lipid packing. Raman-based optical imaging is a promising analytical tool for label-free chemically specific microscopy of lipid bilayers. In this work, we demonstrate the application of hyperspectral coherent Raman scattering microscopy combined with a quantitative unsupervised data analysis methodology developed in-house to visualize lipid partitioning in single planar membrane bilayers exhibiting liquid-ordered and liquid-disordered domains. Two home-built instruments were utilized, featuring coherent anti-Stokes Raman scattering and stimulated Raman scattering modalities. Ternary mixtures of dioleoylphosphatidylcholine, sphingomyelin, and cholesterol were used to form phase-separated domains. We show that domains are consistently resolved, both chemically and spatially, in a completely label-free manner. Quantitative Raman susceptibility spectra of the domains are provided alongside their spatially resolved concentration maps.
Impact of Dependent Coverage Provision of the Affordable Care Act on Insurance Continuity for Adolescents and Young Adults With Cancer

PURPOSE: The 2010 Dependent Coverage Provision (DCP) of the Affordable Care Act (ACA) allowed enrollees to remain on their parents' health insurance until 26 years of age. We compared rates of insurance disenrollment among patients with cancer who were DCP-eligible at age 19 to those who were not eligible at age 19. METHODS: Using OptumLabs Data Warehouse, which contains longitudinal, real-world, de-identified administrative claims for commercial enrollees, we examined patients born between 1982 and 1993 and diagnosed with cancer between 2000 and 2015. In the recent cohort, patients who turned 19 in 2010-2012 (DCP-eligible to stay on parents’ insurance) were matched to patients who turned 19 in 2007-2009 (not DCP-eligible when turning 19). In an earlier control cohort, patients who turned 19 between 2004 and 2006 (not DCP-eligible) were matched to patients who turned 19 between 2001 and 2003 (not DCP-eligible). Patients were matched on cancer type, diagnosis date, demographics, and treatment characteristics. The time to loss of coverage was estimated using Cox models. Difference-in-difference between the recent and earlier cohorts was also evaluated. RESULTS: A total of 2,829 patients who turned 19 years of age in 2010-2012 were matched to patients who turned 19 in 2007-2009. Median time to disenrollment was 26 months for younger patients versus 22 months for older patients (hazard ratio [HR], 0.85; 95% CI, 0.80 to 0.90; P = .001). In 8,978 patients who turned 19 between 2001 and 2006, median time to disenrollment was 20 months among both younger and older patients (HR, 0.99; 95% CI, 0.94 to 1.03; P = .59). The difference between the recent cohort and the earlier control cohort was a 15% greater reduction in coverage loss (P < .0001), favoring those turning 19 after the DCP went into effect. CONCLUSION: In the vulnerable population of adolescent and young adult cancer survivors, the ACA may have lowered the insurance dropout rate.
Plasmonic lattice Kerker effect in ultraviolet-visible spectral range

Mostly forsaken, but revived after the emergence of all-dielectric nanophotonics, the Kerker effect can be observed in a variety of nanostructures from high-index constituents with strong electric and magnetic Mie resonances. Necessary requirement for the existence of a magnetic response limits the use of generally non-magnetic conventional plasmonic nanostructures for the Kerker effect. In spite of this, we demonstrate here for the first time the emergence of the lattice Kerker effect in regular plasmonic Al nanostructures. Collective lattice oscillations emerging from delicate interplay between Rayleigh anomalies and localized surface plasmon resonances both of electric and magnetic dipoles, and electric and magnetic quadrupoles result in suppression of the backscattering in a broad spectral range. Variation of geometrical parameters of Al arrays allows for tailoring lattice Kerker effect throughout UV and visible wavelength ranges, which is close to impossible to achieve using other plasmonic or all-dielectric materials. It is argued that our results set the ground for wide ramifications in the plasmonics and further application of the Kerker effect.