Reimagining Physician Assistant Education: Championing Cognitive Diversity to Promote Inclusivity, Neurodiversity Awareness, and a Sense of Belonging.

Neurodiversity, encompassing conditions such as autism spectrum disorder, attention-deficit/hyperactivity disorder, and dyslexia, represents a significant and often under-recognized segment of the population, including within science, technology, engineering, mathematics, and medicine fields like medicine. Neurodiverse individuals possess unique skills, including enhanced creativity, analytical thinking, and meticulous attention to detail, which are valuable in health care professions. However, failure to recognize and support these individuals can result in missed opportunities, social isolation, and mental health challenges.

Racial Differences in Discrepancies Between Subjective Ratings and Objective Assessments of Hearing Impairment.

Background And Objectives: To better understand racial/ethnic disparities in hearing aid use, we examined racial differences in discrepancies between subjective hearing ratings and objective hearing tests as a potential source of this disparity.

Research Design And Methods: A cross-sectional assessment was conducted using the data from the Health and Retirement Study (HRS). Our analytic sample included 2,568 participants aged 50 and older: 1,814 non-Hispanic White Americans and 754 non-Hispanic Black Americans.

Hepatocyte Rho-associated kinase signaling is required for mice to survive experimental porphyria-associated liver injury.

Background: Rho-associated kinases 1 and 2 (ROCK1 and ROCK2) regulate critical cell functions, including actomyosin contractility, apoptosis, and proliferation. Some studies suggest that ROCK inhibition may serve as a treatment for liver fibrosis. More investigation is needed to understand the role of hepatocyte ROCK signaling in vivo, especially in the context of profibrotic liver injury.

Tranexamic dosing for major joint arthroplasty in adult patients with chronic kidney disease: A pharmacokinetic study and new dosing regimen.

Background: Tranexamic acid is an anti-fibrinolytic agent routinely used during hip and knee joint replacement surgery to minimize bleeding. Chronic kidney disease is a common chronic health problem seen among adults requiring major arthroplasty surgery. Tranexamic acid is renally cleared and may accumulate in chronic kidney disease.

A multi-scale cognitive interaction model of instrument operations at the Linac Coherent Light Source.

The Linac Coherent Light Source (LCLS) is the world's first x-ray free electron laser. It is a scientific user facility operated by the SLAC National Accelerator Laboratory, at Stanford, for the U.S.

The common chemical logic of 'bridged' peroxo species in mononuclear non-heme iron systems.

Mononuclear non-heme iron enzymes catalyze a wide array of important oxidative transformations. They are correspondingly diverse in both structure and mechanism. Despite significant evolutionary distance, it is becoming increasingly apparent that these enzymes nonetheless illustrate a compelling case of mechanistic convergence the formation of peroxo species bridging metal and substrate.

With a little help from my friends: importance of protist-protist interactions in structuring marine protistan communities in the San Pedro Channel.

Unlabelled: Marine protists form complex communities that are shaped by environmental and biological ecosystem properties, as well as ecological interactions between organisms. While all of these factors play a role in shaping protistan communities, the specific ways in which these properties and interactions influence protistan communities remain poorly understood. Fourteen years and 9 months of eukaryotic amplicon (18S-V4 rRNA gene) data collected monthly at the San Pedro Ocean Time-series (SPOT) station were used to evaluate the impacts that environmental and biological factors, and protist-protist interactions had on protistan community composition.

Identification of intestinal mediators of DBL-1/BMP immune signaling shaping gut microbiome composition.

The composition of the gut microbiome is determined by a complex interplay of diet, host genetics, microbe-microbe interactions, abiotic factors, and stochasticity. Previous studies have demonstrated the importance of host genetics in community assembly of the gut microbiome and identified a central role for DBL-1/BMP immune signaling in determining the abundance of gut . However, the effects of DBL-1 signaling on gut bacteria were found to depend on its activation in extra-intestinal tissues, highlighting a gap in our understanding of the proximal factors that determine microbiome composition.

Genome sequence of , identified in the United States.

is a parvovirus that was identified in the blood of four horses in the United States. Here, we report one genome from a horse in New York State. This genome may represent a new species within the genus .

Population pharmacokinetics and pulmonary modeling of eravacycline and the determination of microbiological breakpoint and cutoff of PK/PD.

Eravacycline is a broad-spectrum fluorocycline currently approved for complicated intra-abdominal infections (cIAIs). In lung-infection models, it is effective against methicillin-resistant (MRSA) and tetracycline-resistant MRSA. As such, we aimed to develop a population pharmacokinetic/pharmacodynamic (PK/PD) model to evaluate eravacycline's pulmonary distribution and kinetics.

Satellite Observations of Atmospheric Ammonia Inequalities Associated with Industrialized Swine Facilities in Eastern North Carolina.

Industrialized swine facilities adversely affect the health and well-being of Eastern North Carolina residents in the U.S. and are an issue of environmental racism.

Telomere Length and Symptoms of Attention Deficit and Hyperactivity Disorder in Children at 6-12 Years.

Objective: To explore the association between telomere length (TL) and attention deficit hyperactivity disorder (ADHD) symptoms in children at 6-12 years.

Method: Data from 1,759 children belonging to the HELIX project cohorts and the Asturias, Gipuzkoa and Valencia cohorts of INMA project were included. TL was determined by blood sample using a PCR protocol.

Augmenting Circadian Biology Research With Data Science.

The nature of biological research is changing, driven by the emergence of big data, and new computational models to parse out the information therein. Traditional methods remain the core of biological research but are increasingly either augmented or sometimes replaced by emerging data science tools. This presents a profound opportunity for those circadian researchers interested in incorporating big data and related analyses into their plans.

Coupling of Size Exclusion Chromatography to High Throughput Charge Detection Mass Spectrometry for the Analysis of Large Proteins and Virus-like Particles.

Charge detection mass spectrometry (CD-MS) is an emerging single-particle technique where both the / and charge are measured individually to determine each ion's mass. It is particularly well-suited for analyzing high mass and heterogeneous samples. With conventional MS, the loss of charge state resolution with high mass samples has hindered the direct coupling of MS to separation techniques like size exclusion chromatography (SEC) and forced the use of lower resolution detectors.

Prognostic significance and accuracy of oncologists' estimates of survival time in recurrent ovarian cancer.

Objective: We evaluated the accuracy of oncologists' estimates of expected survival time in recurrent ovarian cancer.

Methods: Oncologists estimated expected survival time at baseline for each patient, who were then followed up for survival time. We hypothesized that oncologists' estimates of expected survival time would be independently significant predictors of survival, unbiased (approximately equal proportions [50%] living longer versus shorter than their expected survival time), or imprecise (<30% within 0.

Trends in the incidence and mutational landscape of advanced uterine cancer.

Objective: The aim of this study was to examine disparities in 20-year incidence trends and mutations in advanced-stage uterine cancer in the United States, given poor survival rates.

Methods: Data were obtained from the United States Cancer Statistics for patients from 2001 to 2019 with International Federation of Gynecology and Obstetrics 2009 stage IVA and IVB uterine cancer. SEER∗Stat 8.

Cervical cancer stage distribution and survival outcomes in Africa: a systematic review and meta-analysis.

Objective: Cervical cancer is a leading cause of cancer-related deaths among women, with a disproportionate burden in sub-Saharan Africa. Understanding the cervical cancer stage and outcomes is crucial for developing effective interventions and reducing its burden. We aimed to undertake a systematic review and meta-analysis of cervical cancer stage distribution and survival outcomes in Africa.

Stereodivergent Synthesis of Complex -Sulfonimidoyl Lactams via the Castagnoli-Cushman Reaction.

The reactivity between sulfonimidamide-derived imines and cyclic anhydrides has been investigated. Sulfonimidamide imines readily react with homophthalic anhydride under mild conditions in the presence of non-nucleophilic bases to yield complex lactam products with high diastereoselectivity. Furthermore, it was discovered that sulfonimidamide imines react with homophthalic anhydride in the absence of a base to yield distinct diastereomer products with high diastereoselectivity.

Measuring XNA polymerase fidelity in a hydrogel particle format.

Growth in the development of engineered polymerases for synthetic biology has led to renewed interest in assays that can measure the fidelity of polymerases that are capable of synthesizing artificial genetic polymers (XNAs). Conventional approaches require purifying the XNA intermediate of a replication cycle (DNA → XNA → DNA) by denaturing polyacrylamide gel electrophoresis, which is a slow, costly, and inefficient process that requires a large-scale transcription reaction and careful extraction of the XNA strand from the gel slice. In an effort to streamline the assay, we developed a purification-free approach in which the XNA transcription and reverse transcription steps occur inside the matrix of a hydrogel-coated magnetic particle.

Redox-Detecting Deep Learning for Mechanism Discernment in Cyclic Voltammograms of Multiple Redox Events.

In electrochemical analysis, mechanism assignment is fundamental to understanding the chemistry of a system. The detection and classification of electrochemical mechanisms in cyclic voltammetry set the foundation for subsequent quantitative evaluation and practical application, but are often based on relatively subjective visual analyses. Deep-learning (DL) techniques provide an alternative, automated means that can support experimentalists in mechanism assignment.