A Structured, Anatomy-Based Chest CT Interpretation Curriculum for Pulmonary Fellows Covering the Main Patterns of Parenchymal Lung Disease.

Introduction: Chest computed tomography (CT) interpretation is a key competency for pulmonary fellows, with many resources intended for radiologists but very few for this specific group. We endeavored to create a curriculum to teach chest CT interpretation to first-year pulmonary fellows.

Methods: We assembled a team of two pulmonologists, one radiologist, and a fellow with computer drafting software experience.

Pay talk in contemporary workplaces.

Drawing on a unique survey of US workers with information about their employers' policies on pay discussions and whether workers engage in such talk with their coworkers, we provide the most comprehensive investigation into pay talk in workplaces to date. Unlike existing treatments, we focus on core organizational and relational factors that influence whether workers talk about pay. We theorize pay talk as a challenge to managerial discretion, and we hypothesize that organizational attributes related to pay-setting influence workers' willingness to discuss wages and salaries with colleagues.

The impact of highly effective modulator therapy on sinusitis and dysosmia in young children with cystic fibrosis: a prospective study protocol.

Background: Chronic rhinosinusitis (CRS) and olfactory dysfunction (OD) are prevalent disease complications in people with cystic fibrosis. These understudied comorbidities significantly impact quality of life. The impact of highly effective modulator therapy (HEMT) in young children with cystic fibrosis (YCwCF) on these disease complications is unknown.

Robust RNA secondary structure prediction with a mixture of deep learning and physics-based experts.

A mixture-of-experts (MoE) approach has been developed to mitigate the poor out-of-distribution (OOD) generalization of deep learning (DL) models for single-sequence-based prediction of RNA secondary structure. The main idea behind this approach is to use DL models for in-distribution (ID) test sequences to leverage their superior ID performances, while relying on physics-based models for OOD sequences to ensure robust predictions. One key ingredient of the pipeline, named MoEFold2D, is automated ID/OOD detection via consensus analysis of an ensemble of DL model predictions without requiring access to training data during inference.

Family physicians' perspectives on outcomes, processes, and policies in dementia care.

The rapid rise in numbers of people living with Alzheimer's disease and related disorders (ADRD) poses major challenges to health systems and policy. Although primary care clinicians provide ongoing medical care for 80% of affected individuals, they face persistent barriers to providing high-quality dementia care. We conducted qualitative interviews with family physicians ( = 20) to understand what core outcomes they consider most important and what care processes and systems and policy strategies they propose to achieve them.

Medicaid billing for community health worker services growing, but remains low, 2016-2020.

Despite the recognized value of Community Health Workers (CHWs) in improving health outcomes, the integration of CHWs into Medicaid continues to be a challenge. This study examines the trends in CHW billing for Medicaid services across states from 2016 to 2020. We conducted an exploratory descriptive analysis of the Transformed Medicaid Statistical Information System (T-MSIS) Analytic Files (TAF) 2016-2020 to identify trends in direct billing for CHW services, including beneficiaries served, total services rendered, payment type, place of service, and procedure codes used for services billed by CHWs.

Development of an agenda for research and action on climate change and health in the Caribbean.

This paper delineates the development of the Caribbean Research for Action Agenda which aims to empower Caribbean Small Island Developing States to reduce their vulnerabilities to the effects of climate change on health. The Caribbean Research for Action Agenda emerged from collaboration between nongovernmental organizations, academic institutions, and multilateral agencies that organized a conference on climate change and health in the Caribbean. This Agenda was formulated by prioritizing research areas, synthesizing evidence from conference presentations and scientific literature, and holding consultations with stakeholders and experts.

Patterns of Care in Adjuvant Radiation Therapy for Stage II Endometrioid Endometrial Adenocarcinoma: A National Cancer Database Analysis.

Purpose: Treating stage II endometrial cancer involves total hysterectomy, bilateral salpingo-oophorectomy, and risk-adapted adjuvant therapy. Professional guidelines support various adjuvant treatments, but high-level data supporting specific options are conflicting. We sought to evaluate adjuvant radiation therapy (RT) trends for these patients, hypothesizing increased utilization of pelvic external beam RT (EBRT) over time.

A Comprehensive Assessment of the Marginal Abatement Costs of CO of Co-Optima Multi-Mode Vehicles.

The Co-Optimization of Fuels and Engines (Co-Optima) is a research and development consortia funded by the U.S. Department of Energy, which has engaged partners from national laboratories, universities, and industry to conduct multidisciplinary research at the intersection of biofuels and combustion sciences.

A comparison of some existing and novel methods for integrating historical models to improve estimation of coefficients in logistic regression.

Model integration refers to the process of incorporating a fitted historical model into the estimation of a current study to increase statistical efficiency. Integration can be challenging when the current model includes new covariates, leading to potential model misspecification. We present and evaluate seven existing and novel model integration techniques, which employ both likelihood constraints and Bayesian informative priors.

Synthesis estimators for transportability with positivity violations by a continuous covariate.

Studies intended to estimate the effect of a treatment, like randomized trials, may not be sampled from the desired target population. To correct for this discrepancy, estimates can be transported to the target population. Methods for transporting between populations are often premised on a positivity assumption, such that all relevant covariate patterns in one population are also present in the other.

Comorbidities And Reducing InEquitieS (CARES): Feasibility of self-monitoring and community health worker support in management of comorbidities among Black breast and prostate cancer patients.

Background: Black individuals with cancer have a higher prevalence of comorbidities and a worse cancer prognosis than other racial groups in the US. As part of a quality improvement project, we aimed to demonstrate feasibility of self-monitoring and community health worker (CHW) support among managing comorbidities for Black individuals with breast or prostate cancer.

Methods: In a single arm, pre-post study, we enrolled patients with diabetes and/or hypertension who identified as Black and were diagnosed with 1) stage 0-IV breast cancer, or 2) prostate cancer and on long-term androgen-deprivation therapy.

Study Design and Baseline Characteristics of ALIGN, a Randomized Controlled Study of Atrasentan in Patients With IgA Nephropathy.

Introduction: Endothelin A (ETA) receptor activation is a driver of proteinuria, kidney inflammation, and fibrosis in IgA nephropathy (IgAN). Atrasentan, a selective ETA receptor antagonist, has potential to reduce proteinuria and preserve kidney function in IgAN. ALIGN (NCT04573478) is a phase 3, randomized, double-blind, placebo-controlled clinical trial of atrasentan in patients with IgAN at high risk of kidney function loss.

Rapid, in Situ Neutralization of Nitrogen- and Silicon-Vacancy Centers in Diamond Using Above-Band Gap Optical Excitation.

The charge state of a quantum point defect in a solid-state host strongly determines its optical and spin characteristics. Consequently, techniques for controlling the charge state are required to realize technologies for quantum networking and sensing. In this work, we demonstrate the use of deep-ultraviolet (DUV) radiation to dynamically neutralize nitrogen- (NV) and silicon-vacancy (SiV) centers.

Post-traumatic stress disorder: evolving conceptualization and evidence, and future research directions.

The understanding of responses to traumatic events has been greatly influenced by the introduction of the diagnosis of post-traumatic stress disorder (PTSD). In this paper we review the initial versions of the diagnostic criteria for this condition and the associated epidemiological findings, including sociocultural differences. We consider evidence for post-traumatic reactions occurring in multiple contexts not previously defined as traumatic, and the implications that these observations have for the diagnosis.

Social jetlag decreases across the lifespan: A prospective big data analysis of objective sleep metrics.

Changes in social zeitgebers across the lifespan affect the interaction between biological and social clocks, potentially contributing to social jetlag. Extant literature suggests a reduction in social jetlag given declining social obligations occurring after retirement, but is limited to self-reported methods and cross-sectional designs. Leveraging longitudinal and ecologically valid data from consumer sleep technology, we analysed objective sleep data from 2439 users of the polysomnography-validated SleepScore mobile application, encompassing 500,415 total nights recorded.

Cell size has pervasive effects on the functional composition and morphology of leaves: a case study in Rhododendron (Ericaceae).

The leaf economics spectrum (LES) characterizes a tradeoff between building a leaf for durability versus for energy capture and gas exchange, with allocation to leaf dry mass per projected surface area (LMA) being a key trait underlying this tradeoff. However, regardless of the biomass supporting the leaf, high rates of gas exchange are typically accomplished by small, densely packed stomata on the leaf surface, which is enabled by smaller genome sizes. Here, we investigate how variation in genome size-cell size allometry interacts with variation in biomass allocation (i.

Development of a qPCR assay for early detection and quantification of in kiwifruit plant and soil affected by Vine Decline Syndrome.

Kiwifruit Vine Decline Syndrome (KVDS) is a soilborne disease affecting Actinidia fruit trees in perennial cropping systems. Since its emergence in 2012, studies have increasingly identified the oomycete as a major causative agent of the disease. is also implicated in complex soilborne disease systems of woody perennial crops, including replant disease in apple and pear.

Considering Comorbidities and Individual Differences in Testing a Gaming Behavioral Activation App for Perinatal Depression and Anxiety: Open Trial Pilot Intervention Study.

Background: There is increasing interest in the development of scalable digital mental health interventions for perinatal populations to increase accessibility. Mobile behavioral activation (BA) is efficacious for the treatment of perinatal depression; however, the effect of comorbid anxiety and depression (CAD) on symptom trajectories remains underexplored. This is important given that at least 10% of women in the perinatal period experience CAD.

Integrating Infant Safe Sleep and Breastfeeding Education Into an App in a Novel Approach to Reaching High-Risk Populations: Prospective Observational Study.

Background: Sudden unexpected infant death (SUID) is a leading cause of death for US infants, and nonrecommended sleep practices are reported in most of these deaths. SUID rates have not declined over the past 20 years despite significant educational efforts. Integration of prenatal safe sleep and breastfeeding education into a pregnancy app may be one approach to engaging pregnant individuals in education about infant care practices prior to childbirth.

"New Normal:" Opportunities and Challenges Faced by Syringe Service Programs Following the Effects of the COVID-19 Pandemic.

Syringe services programs (SSPs) provide critical evidence-based public health services that decrease harms from drug use for people who use drugs (PWUD). Many SSPs have experienced significant and evolving COVID-19-related disruptions. We aimed to characterize the impacts of COVID-19 on SSP operations in the United States approximately two years into the pandemic.