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Public health decisions must be made about when and how to implement interventions to control an infectious disease epidemic. These decisions should be informed by data on the epidemic as well as current understanding about the transmission dynamics. Such decisions can be posed as statistical questions about scientifically motivated dynamic models. Thus, we encounter the methodological task of building credible, data-informed decisions based on stochastic, partially observed, nonlinear dynamic models. This necessitates addressing the tradeoff between biological fidelity and model simplicity, and the reality of misspecification for models at all levels of complexity. We assess current methodological approaches to these issues via a case study of the 2010-2019 cholera epidemic in Haiti. We consider three dynamic models developed by expert teams to advise on vaccination policies. We evaluate previous methods used for fitting these models, and we demonstrate modified data analysis strategies leading to improved statistical fit. Specifically, we present approaches for diagnosing model misspecification and the consequent development of improved models. Additionally, we demonstrate the utility of recent advances in likelihood maximization for high-dimensional nonlinear dynamic models, enabling likelihood-based inference for spatiotemporal incidence data using this class of models. Our workflow is reproducible and extendable, facilitating future investigations of this disease system. Author summary: Quantitative understanding of infectious disease transmission dynamics relies upon mathematical models informed by scientific knowledge and relevant data. The models aim to provide a statistical description of the trajectory of an epidemic and its uncertainty, together with a representation of the underlying biological mechanisms. Evaluation of success at these goals is necessary in order for a model to provide a reliable tool for guiding evidence-based public policy interventions. In this article, we conduct a re-analysis of the 2010–2019 cholera outbreak in Haiti. We use this case study to investigate current procedures for fitting mechanistic models to time series data, while identifying limitations of these methodologies and proposing remedies. Our analysis presents methodology for diagnosing how well a model describes observed data. Using objective measures to assess model fit ensures that our evaluation is based on quantifiable criteria. Incorporating reproducibility into this assessment results in a framework that enables the validation or refinement of model based inferences when revisiting the data, facilitating scientific discovery. Our data analysis workflow is supported by recent advances in algorithms, software and hardware, which facilitate statistical fitting of nonlinear stochastic dynamic models to observed incidence data. However, inference for high-dimensional systems remains a methodological challenge. One of the models under consideration involves spatially coupled stochastic meta-populations, and we demonstrate how a recently developed algorithm permits likelihood-based inference and model diagnostics in this setting. We contend that raising the currently accepted standards of infectious disease modeling will result in a greater ability of scientists and policy makers to understand and respond to future infectious disease outbreaks. [ABSTRACT FROM AUTHOR]

"Beyond Racial Capitalism: Co-operatives in the African Diaspora" is a collection of essays that explores how the Black diaspora resists marginalization under racial capitalism through the organization of collective economies. The book applies the theories of racial capitalism and the Black social economy to case studies of cooperative economic efforts in Canada, the USA, the Caribbean, Brazil, and Ireland. It highlights the importance of rotating savings and credit associations (ROSCAs) and concepts like ubuntu and buen vivir in promoting cooperation and self-sufficiency. The book aims to shed light on Black-owned cooperatives and the Black solidarity economy, which have been overlooked in mainstream literature. [Extracted from the article]

The article discusses the background for the visit by 11 students at the University of Illinois at Urbana-Champaign during their 2023 spring break, the "bright futures" theme, and key experiences, reflecting the promise of university-community collaboration. Topics include the commitment of the University of Illinois to community engagement, field trip to the University as experiential learning for possible selves, and successes, challenges, and recommendations.

The development of Educator Identity has a significant impact on well-being, motivation, productivity, and the quality of teaching. Previous research has shown that conflicting responsibilities and a challenging work environment could negatively affect the development of Clinical Educator Identity within an organization. However, there is a lack of research that identifies the factors affecting Clinical Educator Identity Formation and provides guidance on how organizations can support its development, maintenance, and advancement. To examine the phenomenology of Professional Identity Development in experienced Senior Clinical Educators in Singaporean hospitals, the study utilized an exploratory qualitative approach. The data was collected from September 2021 to May 2022 through one-to-one interviews. Four investigators analyzed the data using constant comparative analysis to identify relevant themes. Eleven senior educators revealed that personal, relational, and organizational factors influenced the development of Clinical Educator Identity. The relational aspect was a vital enabler, while organizational culture was a strong barrier. The study also identified several ways in which organizations can support Educator Identity development. The study findings provide insight into how organizations can support the development of Clinical Educator Identity. The results could aid organizations in understanding the areas where they can channel resources to support Clinical Educator Identity development. [ABSTRACT FROM AUTHOR]

Boys struggle academically and behaviorally more than girls and are more likely to have difficulty with social skills. It seems likely that boys and girls do not perceive social skills in the same light. Past research has not investigated this or its relationship to academic and behavioral performance. Using data from a cohort of 9th-grade students (n = 323) in one high school in central Illinois, this study involves interaction analyses of student mindsets about their social skills and gender. Findings indicated that females who perceive social skills as more important had higher grade point averages (GPAs), higher attendance rates, and fewer disciplinary problems than their male counterparts. Conversely, females who perceive social skills as of lesser importance have lower GPAs, poorer attendance, and more disciplinary referrals than their male counterparts. Findings highlight pertinent gender differences in the relation between social skills mindsets and outcomes among high-school freshmen students.

Neuroanatomical localization (NL) is a key skill in neurology, but learners often have difficulty with it. This study aims to evaluate a concise NL tool (NLT) developed to help teach and learn NL. To evaluate the NLT, an extended-matching questions (EMQ) test to assess NL was designed and validated. The EMQ was validated with fourth-year medical students and internal medicine and neurology residents. The NLT's usability was evaluated with third- and fourth-year students, and the effectiveness was evaluated with an experimental study of second-year students, using the EMQ as the outcome measure. Students were taught how to use both the NLT and textbook algorithms (control) to perform NL, then randomized into either group, and only allowed to use their assigned tool to complete the EMQ. Primary outcome was the difference in mean EMQ scores expressed as a percentage of total score. For EMQ validation, students (n = 56) scored lower than residents (n = 50) (76.7% ± 1.7 vs. 83.0% ± 1.6; mean ± standard error of mean, P < 0.009). The EMQ demonstrated good reliability (Cronbach's a 0.85) and generalizability (G-coefficient 0.85). Third- (n = 77) and fourth-year (n = 42) students found the NLT user-friendly and helpful in their learning of NL. In the experimental study, scores were significantly higher for NLT group (n = 94) than for controls (n = 101) (42.5 vs. 37.0%, P = 0.014); the effect size (Cohen's d) was 0.36. The EMQ is validated to reliably assess NL and is generalizable, feasible, practical, and of low cost. The concise and user-friendly NLT for NL was effective in aiding medical student performance of NL.

Fetal alcohol exposure (FAE) can lead to a variety of behavioral and physiological disturbances later in life. Understanding how alcohol (ethanol, EtOH) affects fetal brain development is essential to guide the development of better therapeutics for FAE. One of EtOH's many pharmacological targets is the γ-aminobutyric acid type A receptor (GABAAR), which plays a prominent role in early brain development. Acute EtOH potentiates inhibitory currents carried by certain GABAAR subtypes, whereas chronic EtOH leads to persistent alterations in GABAAR subunit composition, localization and function. We recently introduced a flavonoid compound, dihydromyricetin (DHM), which selectively antagonizes EtOH's intoxicating effects in vivo and in vitro at enhancing GABAAR function as a candidate for alcohol abuse pharmacotherapy. Here, we studied the effect of FAE on physiology, behavior and GABAAR function of early adolescent rats and tested the utility of DHM as a preventative treatment for FAE-induced disturbances. Gavage administration of EtOH (1.5, 2.5, or 5.0 g/kg) to rat dams on day 5, 8, 10, 12, and 15 of pregnancy dose-dependently reduced female/male offspring ratios (largely through decreased numbers of female offspring) and offspring body weights. FAE (2.5 g/kg) rats tested on postnatal days (P) 25-32 also exhibited increased anxiety and reduced pentylenetetrazol (PTZ)-induced seizure threshold. Patch-clamp recordings from dentate gyrus granule cells (DGCs) in hippocampal slices from FAE (2.5 g/kg) rats at P25-35 revealed reduced sensitivity of GABAergic miniature inhibitory postsynaptic currents (mIPSCs) and tonic current (Itonic) to potentiation by zolpidem (0.3 μM). Interestingly, potentiation of mIPSCs by gaboxadol increased, while potentiation of Itonic decreased in DGCs from FAE rats. Co-administration of EtOH (1.5 or 2.5 g/kg) with DHM (1.0 mg/kg) in pregnant dams prevented all of the behavioral, physiological, and pharmacological alterations observed in FAE offspring. DHM administration alone in pregnant rats had no adverse effect on litter size, progeny weight, anxiety level, PTZ seizure threshold, or DGC GABAAR function. Our results indicate that FAE induces long-lasting alterations in physiology, behavior, and hippocampal GABAAR function and that these deficits are prevented by DHM co-treatment of EtOH-exposed dams. The absence of adverse side effects and the ability of DHM to prevent FAE consequences suggest that DHM is an attractive candidate for development as a treatment for prevention of fetal alcohol spectrum disorders.

A high-throughput small-molecule screen was conducted to identify inhibitors of epithelial-mesenchymal transition (EMT) that could be used as tool compounds to test the importance of EMT signaling in vivo during fibrogenesis. Transforming growth factor (TGF)-β1-induced fibronectin expression and E-cadherin repression in A549 cells were used as 48-hour endpoints in a cell-based imaging screen. Compounds that directly blocked Smad2/3 phosphorylation were excluded. From 2,100 bioactive compounds, methacycline was identified as an inhibitor of A549 EMT with the half maximal inhibitory concentration (IC50) of roughly 5 μM. In vitro, methacycline inhibited TGF-β1-induced α-smooth muscle actin, Snail1, and collagen I of primary alveolar epithelial cells . Methacycline inhibited TGF-β1-induced non-Smad pathways, including c-Jun N-terminal kinase, p38, and Akt activation, but not Smad or β-catenin transcriptional activity. Methacycline had no effect on baseline c-Jun N-terminal kinase, p38, or Akt activities or lung fibroblast responses to TGF-β1. In vivo, 100 mg/kg intraperitoneal methacycline delivered daily beginning 10 days after intratracheal bleomycin improved survival at Day 17 (P < 0.01). Bleomycin-induced canonical EMT markers, Snail1, Twist1, collagen I, as well as fibronectin protein and mRNA, were attenuated by methacycline (Day 17). Methacycline did not attenuate inflammatory cell accumulation or alter TGF-β1-responsive genes in alveolar macrophages. These studies identify a novel inhibitor of EMT as a potent suppressor of fibrogenesis, further supporting the concept that EMT signaling is important to lung fibrosis. The findings also provide support for testing the impact of methacycline or doxycycline, an active analog, on progression of human pulmonary fibrosis.

The article focuses on implementing a modified neurology objective structured clinical examination (OSCE) during the COVID-19 pandemic using an implementation science perspective. It reports the successful planning and execution of the modified OSCE, and it highlights the use of the Consolidated Framework for Implementation Research (CFIR) to identify key determinants influencing implementation and ensure positive perceptions among stakeholders.

An introduction to articles in the issue is presented on topics including the conceptualization and implementation of out-of-school time (OST) that centers the voice of youth, a qualitative study on Pittsburgh's Justice Scholars Institute, and the potential of community and youth participation in OST.

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