Microplastics in aquatic systems: A comprehensive review of its distribution, environmental interactions, and health risks.

Microplastics (MPs) have become a critical pollutant, accumulating in aquatic ecosystems and posing significant environmental and human health risks. Approximately 5.25 trillion plastic particles float in global oceans, releasing up to 23,600 metric tonnes of dissolved organic carbon annually, which disrupts microbial dynamics.

Perturbative analysis of the coherent state transformation in ab initio cavity quantum electrodynamics.

Experimental demonstrations of modified chemical structure and reactivity under strong light-matter coupling have spurred theoretical and computational efforts to uncover underlying mechanisms. Ab initio cavity quantum electrodynamics (QED) combines quantum chemistry with cavity QED to investigate these phenomena in detail. Unitary transformations of ab initio cavity QED Hamiltonians have been used to make them more computationally tractable.

Discrimination in Middle Eastern and North African Americans predicts Worse Mental Health as Mediated by Sleep.

Discrimination is a salient stressor linked with a variety of health outcomes including depression and anxiety among Middle Eastern and North African Americans (MENA). Among other minoritized racial and ethnic groups, sleep difficulties have been identified as potential mechanisms that explain the relationship between discrimination and mental health. However, this has not been explored within MENA samples.

Genomic factors shaping codon usage across the Saccharomycotina subphylum.

Codon usage bias, or the unequal use of synonymous codons, is observed across genes, genomes, and between species. It has been implicated in many cellular functions, such as translation dynamics and transcript stability, but can also be shaped by neutral forces. We characterized codon usage across 1,154 strains from 1,051 species from the fungal subphylum Saccharomycotina to gain insight into the biases, molecular mechanisms, evolution, and genomic features contributing to codon usage patterns.

Considering multi-scale built environment in modeling severity of traffic violations by elderly drivers: An interpretable machine learning framework.

The causes of traffic violations by elderly drivers are different from those of other age groups. To reduce serious traffic violations that are more likely to cause serious traffic crashes, this study divided the severity of traffic violations into three levels (i.e.

Fatal crashes involving vehicles with driver warning systems: Identifying risk factors using a correlated random parameters ordered logit modeling approach.

Recent advancements in vehicular technology are expected to enhance traffic safety by either warning the drivers or by automating the tasks related to driving to reduce the human driver's involvement. The driver warning systems (DWSs) are designed to warn drivers in unsafe situations such as forward collision, lane departure, or when changing lanes with vehicles in blind spot areas. Although these features are designed to enhance safety, recent crash data shows vehicles with these features are still getting involved in crashes, making it necessary to identify the contributing factors.

Time in childhood extracurricular activity and mental health of young adults with developmental disability.

Background: People with developmental disability have higher rates of mental health problems such as anxiety, depression, psychological distress, or a limited sense of belonging to a community. Extracurricular activity can help children and adolescents build social connections beyond family, increasing social capital, which may promote mental health in the transition into adulthood. Little is known about such associations among people with developmental disability.

A mark-specific quantile regression model.

Quantile regression has become a widely used tool for analysing competing risk data. However, quantile regression for competing risk data with a continuous mark is still scarce. The mark variable is an extension of cause of failure in a classical competing risk model where cause of failure is replaced by a continuous mark only observed at uncensored failure times.

Simultaneous sealing and bisection of porcine renal blood vessels, ex vivo, using a continuous-wave, infrared diode laser at 1470 nm.

Electrosurgical and ultrasonic devices are used in surgical procedures for hemostatic sealing and bisection of vascular tissues. Previous benchtop studies alternatively demonstrated successful infrared laser sealing and cutting of blood vessels, in a sequential, two-step approach. This study describes a smaller, laparoscopic device compatible design, and simultaneous approach to sealing and bisection of vessels, with potential optical feedback.

Understanding College Students' Healthcare Avoidance: From Early Maladaptive Schemas, through Healthcare Institutional Betrayal and Betrayal Trauma Appraisal of Worst Healthcare Experiences.

Understanding healthcare avoidance among college students is critical. In this study, we consider two broad cognitive contributors to greater healthcare avoidance: specific early maladaptive schema and negative appraisals of students' prior worst healthcare experiences. From schema theory, we proposed college students holding greater levels of two early maladaptive schema (disconnection/rejection and impaired autonomy/performance EMS) would be more likely to appraise their problematic healthcare experience as both containing healthcare institutional betrayal (HIB) behaviors and as traumatic and betrayal-inducing; both EMS and these appraisals would predict healthcare avoidance.

Does non-motorists' safety perception of autonomous vehicles vary across opinion change stemming from crash occurrence? Investigating perceptions using fixed and random parameter ordered logit models.

The perception of non-motorists toward autonomous vehicles (AVs) could change or remain the same after hearing about a fatal AV crash. This study aims to discern the differences between non-motorists whose opinions were influenced and those whose views remained unchanged after hearing about the fatal AV crash. Additionally, this study investigates how the operational competence of AV manufacturers affect non-motorist's safety perception.

Stigma, Self-Care, and Intuitive Eating in Black Americans with Type 2 Diabetes.

Type 2 diabetes is prevalent among Black Americans. Stigma associated with type 2 diabetes, both in general and specific to weight, is damaging to self-care, which is crucial for the effective management of diabetes. Family relationships may buffer the negative impact of stress, especially among Black Americans who have historically relied on informal support networks.

Healthy Food Policies Documented in University Food Service Contracts.

In the United States, there is an opportunity to improve the nutritional health of university students through the campus food environment. This project used a content analysis approach to investigate whether healthy food standards and policies were incorporated into the contract agreements between North Carolina (NC) public universities and their food service management companies. Food service contracts were collected from 14 NC public universities using food service management companies on campus.

Temporal and spatial relationships of CrAssphage and enteric viral and bacterial pathogens in wastewater in North Carolina.

Enteric disease remains one of the most common concerns for public health, particularly when it results from human exposure to surface and recreational waters contaminated with wastewater. Characterizing the temporal and spatial variation of enteric pathogens prevalent in wastewater is critical to develop approaches to mitigate their distribution in the environment. In this study, we aim to characterize pathogen variability and test the applicability of the human-associated wastewater indicator crAssphage as an indicator of enteric viral and bacterial pathogens.

Contrastive learning-based pretraining improves representation and transferability of diabetic retinopathy classification models.

Diabetic retinopathy (DR) is a major cause of vision impairment in diabetic patients worldwide. Due to its prevalence, early clinical diagnosis is essential to improve treatment management of DR patients. Despite recent demonstration of successful machine learning (ML) models for automated DR detection, there is a significant clinical need for robust models that can be trained with smaller cohorts of dataset and still perform with high diagnostic accuracy in independent clinical datasets (i.

Caring for myself while I'm growing somebody else: Mindful self-care buffers between pregnancy body disconnection and distress.

Pregnancy embodiment describes the way a pregnant individual inhabits their body, including disconnection and connection, likely influencing both distress and well-being. Emerging work indicates that acceptance of pregnancy-related bodily change may support well-being, particularly when co-occurring with self-care behaviors. Yet, specific associations of pregnant embodiment and intentional, individualized self-care practices (mindful self-care; MSC) with well-being and distress remain unexamined.

Psychological distress is more common in some occupations and increases with job tenure: a thirty-seven year panel study in the United States.

Background: Workers in certain occupations may have elevated risks of psychological distress. However, research is limited. For example, researchers often measure distress that may have existed before occupational exposures.

CDMAP/CDVIS: context-dependent mutation analysis package and visualization software.

The Context-dependent Mutation Analysis Package and Visualization Software (CDMAP/CDVIS) is an automated, modular toolkit used for the analysis and visualization of context-dependent mutation patterns (site-specific variation in mutation rate from neighboring-nucleotide effects). The CDMAP computes context-dependent mutation rates using a Variant Call File (VCF), Genbank file, and reference genome and can generate high-resolution figures to analyze variation in mutation rate across spatiotemporal scales. This algorithm has been benchmarked against mutation accumulation data but can also be used to calculate context-dependent mutation rates for polymorphism or closely related species as long as the input requirements are met.

Injury severity analysis of time-of-day fluctuations and temporal volatility in reverse sideswipe collisions: A random parameter model with heterogeneous means and heteroscedastic variances.

Problem: Sideswipe collisions in the opposite direction often result in more severe injuries than the typical same-direction crashes, especially when light trucks are involved. This study investigates the time-of-day fluctuations and temporal volatility of potential factors that affect the injury severity of reverse sideswipe collisions.

Methods: A series of random parameters logit models with heterogeneous means and heteroscedastic variances are developed and utilized to explore unobserved heterogeneity inherent in variables and preclude biased parameter estimation.

Faculty perceptions of the impact of the COVID-19 pandemic on new graduate nurses' transition to practice: A qualitative study.

Background: The COVID-19 pandemic disrupted nursing education worldwide. Most studies have focused on how the pandemic affected students. With an alarming workforce shortage, a better understanding of the pandemic's impact on new nurses is vital to proactively develop strategies to promote success of the profession's newest members.

'Don't cross the line, you're a researcher and not an educator': Incorporating indigenous researchers' moral perspectives to improve ethical protocols in health research.

Given that researchers from North America and Europe author most global scientific publications, indigenous frontline researcher perspectives are rarely incorporated in the general research enterprise and ethics. Addressing this shortcoming, we analyzed a subset of data from a larger study. We present results from semi-structured in-depth ethnographic interviews with nine indigenous research assistants (RAs) conducted in Southern Africa four years after implementing a national HIV/AIDS study collaboratively implemented by national, U.

Thermal pretreatment of Lantana camara for improved biogas production: Process parameter studies for energy evaluation.

The rigid lignocellulosic structure of Lantana camara impedes the hydrolysis phase and reduces the biogas production during anaerobic digestion of Lantana camara. Hence, the current study focuses on the impact of various heating pretreatment techniques, viz., hot air oven (HAO), autoclave (ATC), hot water bath (HWB), and microwave (MCW) on L.

Neutralizing antibody correlates of sequence specific dengue disease in a tetravalent dengue vaccine efficacy trial in Asia.

In the CYD14 trial of the CYD-TDV dengue vaccine in 2-14 year-olds, neutralizing antibody (nAb) titers to the vaccine-insert dengue strains correlated inversely with symptomatic, virologically-confirmed dengue (VCD). Also, vaccine efficacy against VCD was higher against dengue prM/E amino acid sequences closer to the vaccine inserts. We integrated the nAb and sequence data types by assessing nAb titers as a correlate of sequence-specific VCD separately in the vaccine arm and in the placebo arm.

Comparative transmission of bacteria from Artemia salina and Brachionus plicatilis to the cnidarian Nematostella vectensis.

The microbial community associated with animals (microbiome) is essential for development, physiology, and health of host organisms. A critical step to understand the assembly of microbiomes is to determine how effectively bacteria colonize and establish within the host. Bacteria commonly colonize hosts through vertical transmission, passively from the environment, or through food consumption.

Prospective relations of maternal reward-related eating, pregnancy ultra-processed food intake and weight indicators, and feeding mode with infant appetitive traits.

Background: Infant appetitive traits including eating rate, satiety responsiveness, food responsiveness, and enjoyment of food predict weight gain in infancy and early childhood. Although studies show a strong genetic influence on infant appetitive traits, the association of parent and infant appetite is understudied. Furthermore, little research examines the influence of maternal pregnancy dietary intake, weight indicators, and feeding mode on infant appetite.