Long-Term Family Needs After a Traumatic Brain Injury: A VA TBI Model Systems Study.

Objective: To describe the self-reported needs of family caregivers of service members and veterans (SMVs) with traumatic brain injury (TBI) at 10 to 15 years post-injury and to identify unique predictors of unmet family needs.

Setting: Five Department of Veterans Affairs Polytrauma Rehabilitation Centers.

Participants: A total of 209 family caregivers of SMVs with TBI from the VA TBI Model Systems national database who completed a 10- or 15-year follow-up assessment.

Associations Between Ambient PM and Thyroid Hormones in Pregnant Persons in Puerto Rico.

Introduction: This study investigates associations between fine particulate air pollution (PM) exposure and thyroid hormone levels during pregnancy in Puerto Rican individuals, a vulnerable population facing socioeconomic and environmental disparities.

Methods: This research draws on data from the PROTECT cohort study and involves 1040 participants to measure the effect of PM on developmentally important thyroid hormones (TSH, T3, T4, and FT4). Pollution concentrations were linked to participant locations using EPA air quality data and analyzed across two visits during gestational weeks 16-20 and 24-28.

A Decomposition-Based Evolutionary Algorithm with Neighborhood Region Domination.

The decomposition-based multi-objective optimization algorithm MOEA/D (multi-objective evolutionary algorithm based on decomposition) introduces the concept of neighborhood, where each sub-problem requires optimization through solutions within its neighborhood. Due to the comparison being only with solutions in the neighborhood, the obtained set of solutions is not sufficiently diverse, leading to poorer convergence properties. In order to adequately acquire a high-quality set of solutions, this algorithm requires a large number of population iterations, which in turn results in relatively low computational efficiency.

Algorithms for Solving the Equilibrium Composition Model of Arc Plasma.

In the present study, the Homotopy Levenberg-Marquardt Algorithm (HLMA) and the Parameter Variation Levenberg-Marquardt Algorithm (PV-LMA), both developed in the context of high-temperature composition, are proposed to address the equilibrium composition model of plasma under the condition of local thermodynamic and chemical equilibrium. This model is essentially a nonlinear system of weakly singular Jacobian matrices. The model was formulated on the basis of the Saha and Guldberg-Waage equations, integrated with Dalton's law of partial pressures, stoichiometric equilibrium, and the law of conservation of charge, resulting in a nonlinear system of equations with a weakly singular Jacobian matrix.

Cells Grouping Detection and Confusing Labels Correction on Cervical Pathology Images.

Cervical cancer is one of the most prevalent cancers among women, posing a significant threat to their health. Early screening can detect cervical precancerous lesions in a timely manner, thereby enabling the prevention or treatment of the disease. The use of pathological image analysis technology to automatically interpret cells in pathological slices is a hot topic in digital medicine research, as it can reduce the substantial effort required from pathologists to identify cells and can improve diagnostic efficiency and accuracy.

A multi-body finite element model for hydrogel packings: linear response to shear.

We study a multi-body finite element model of a packing of hydrogel particles using the Flory-Rehner constitutive law to model the deformation of the swollen polymer network. We show that while the dependence of the pressure, , on the effective volume fraction, , is virtually identical to a monolithic Flory material, the shear modulus, , behaves in a non-trivial way. increases monotonically with from zero and remains below about 80% of the monolithic Flory value at the largest we study here.

Piloting a battery to evaluate parasympathetic reactivity and externalizing behaviours during early childhood in autism spectrum disorder.

Background: Respiratory Sinus Arrhythmia Reactivity (RSA-R) correlates both positively and negatively with externalizing behavior in autistic individuals. These inconsistencies may result from task-based differences. This pilot study measured RSA-R in 4-to 6-year-olds, across two time-points, using four validated tasks with matched baseline and challenge periods.

Impaired Visuospatial Processing in Cerebral Visual Impairment Revealed by Performance on a Conjunction Visual Search Task.

Cerebral visual impairment (CVI) is a brain-based visual disorder associated with injury and/or maldevelopment of central visual pathways. Visuospatial processing impairments are a cardinal feature of the complex clinical profile of individuals with CVI. Here, we assessed visuospatial processing abilities using a classic conjunction search task.

Building an open-source community to enhance autonomic nervous system signal analysis: DBDP-autonomic.

Smartphones and wearable sensors offer an unprecedented ability to collect peripheral psychophysiological signals across diverse timescales, settings, populations, and modalities. However, open-source software development has yet to keep pace with rapid advancements in hardware technology and availability, creating an analytical barrier that limits the scientific usefulness of acquired data. We propose a community-driven, open-source peripheral psychophysiological signal pre-processing and analysis software framework that could advance biobehavioral health by enabling more robust, transparent, and reproducible inferences involving autonomic nervous system data.

First-principles prediction of intrinsic ferrovalley properties in Janus rare-earth PrXY (X ≠ Y = Cl, Br, I) monolayers.

In this work, using first-principles calculations, we predict a promising class of two-dimensional ferromagnetic semiconductors, namely Janus PrXY (X ≠ Y = Cl, Br, I) monolayers. Through first-principles calculations, we found that PrXY monolayers have excellent dynamic and thermal stability, and their band structures, influenced by magnetic exchange and spin-orbital coupling, exhibit significant valley polarization. Between and - valleys, the Berry curvature values are opposite to each other, resulting in the anomalous valley Hall effect.

Developing a comprehensive inventory to define harm reduction housing.

Background: The City of Boston has faced unprecedented challenges with substance use amidst changes to the illicit drug supply and increased visibility of homelessness. Among its responses, Boston developed six low threshold harm reduction housing (HRH) sites geared towards supporting the housing needs of people who use drugs (PWUD) and addressing health and safety concerns around geographically concentrated tent encampments. HRH sites are transitional supportive housing that adhere to a "housing first" approach where abstinence is not required and harm reduction services and supports are co-located.

Physical activity, cathepsin B, and cognitive health.

Regular physical activity (PA) is beneficial for cognitive health, and cathepsin B (CTSB) - a protease released by skeletal muscle during PA - acts as a potential molecular mediator of this association. PA-induced metabolic and mechanical stress appears to increase plasma/serum CTSB levels. CTSB facilitates neurogenesis and synaptic plasticity in brain regions (e.

Enhancing humification in high-temperature composting: Insights from endogenous and exogenous heating strategies.

Livestock manure is difficult to manage for high moisture and nutrients. High-temperature composting (> 75 °C) reduces moisture. However, the humification process, crucial for nutrient recycling, remains poorly understood.

MVGNN-PPIS: A novel multi-view graph neural network for protein-protein interaction sites prediction based on Alphafold3-predicted structures and transfer learning.

Protein-protein interactions (PPI) are crucial for understanding numerous biological processes and pathogenic mechanisms. Identifying interaction sites is essential for biomedical research and targeted drug development. Compared to experimental methods, accurate computational approaches for protein-protein interaction sites (PPIS) prediction can save significant time and costs.

Multiscale feature enhanced gating network for atrial fibrillation detection.

Background And Objective: Atrial fibrillation (AF) is a significant cause of life-threatening heart disease due to its potential to lead to stroke and heart failure. Although deep learning-assisted diagnosis of AF based on ECG holds significance in clinical settings, it remains unsatisfactory due to insufficient consideration of noise and redundant features. In this work, we propose a novel multiscale feature-enhanced gating network (MFEG Net) for AF diagnosis.

tDDA: A Targeted Data-Dependent Acquisition Mode for Rapid Screening of Targets in Complex Matrices.

Miniaturized mass spectrometers offer significant potential for in situ analysis due to their high specificity and portability. In traditional data-dependent acquisition (DDA) mode, precursor ions for tandem analysis are selected based on the full-scan mass spectrum. However, in situ applications often require the direct analysis of complex samples without extensive sample pretreatment, making them susceptible to chemical noise that can result in false negatives.

RNA Metabolism and the Role of Small RNAs in Regulating Multiple Aspects of RNA Metabolism.

RNA metabolism is focused on RNA molecules and encompasses all the crucial processes an RNA molecule may or will undergo throughout its life cycle. It is an essential cellular process that allows all cells to function effectively. The transcriptomic landscape of a cell is shaped by the processes such as RNA biosynthesis, maturation (RNA processing, folding, and modification), intra- and inter-cellular transport, transcriptional and post-transcriptional regulation, modification, catabolic decay, and retrograde signaling, all of which are interconnected and are essential for cellular RNA homeostasis.

Dynamic Intervention in Gene Regulatory Networks: A Partially Observed Zero-Sum Markov Game.

Gene Regulatory Networks (GRNs) are pivotal in governing diverse cellular processes, such as stress response, DNA repair, and mechanisms associated with complex diseases like cancer. The interventions in GRNs aim to restore the system state to its normal condition by altering gene activities over time. Unlike most intervention approaches that rely on the direct observability of the system state and assume no response of the cell against intervention, this paper models the fight between intervention and cell dynamic response using a partially observed zero-sum Markov game with binary state variables.

The mediating role of English learning motivation between socioeconomic status and pragmatic awareness.

Socioeconomic status (SES) has received great attention in learning a second or foreign language (SL/FL). However, little research has investigated the association between SES and SL/FL pragmatic learning, let alone the influencing pathways of SES on SL/FL pragmatic awareness (PA). Therefore, this research aimed to address the link between learners' SES and PA with the mediating effects of learning motivation based on the L2 motivation self-system (L2MSS) theory by surveying 292 Chinese EFL university students.

Enhancing social functioning using multi-user, immersive virtual reality.

Rates of loneliness and other forms of social disconnection have been increasing worldwide. Prior studies have suggested that brief behavioral interventions can teach skills that may improve social functioning and connection but, currently, access to such interventions is limited. One previously untested approach for addressing this gap is to teach these skills using immersive, multi-user virtual reality (VR).

Synthesis and characterization of photo-cross-linkable quince seed-based hydrogels for soft tissue engineering applications.

The convenience, versatility, and biocompatibility of photocrosslinkable hydrogel precursors make them promising candidates for developing tissue engineering scaffolds. However, the current library of photosensitive materials is limited. This study reports, for the first time, the modification of quince seed mucilage (QS) with glycidyl methacrylate (GM), resulting in the synthesis of methacrylated QS (QSGM).

Toward a Consistent Framework for Describing the Free Vibration Modes of the Brain.

Frequency-domain analysis of brain tissue motion has received increased focus in recent years as an approach to describing the response of the brain to impact or vibration sources in the built environment. While researchers in many experimental and numerical studies have sought to identify natural resonant frequencies of the brain, limited description of the associated vibration modes limits comparison of results between studies. We performed a modal analysis to extract the natural frequencies and associated mode shapes of a finite element model of the head.

Burnt Plastic (Pyroplastic) from the M/V Ship Fire and Plastic Spill Contain Compounds That Activate Endocrine and Metabolism-Related Human and Fish Transcription Factors.

In May 2021, the M/V ship fire disaster led to the largest maritime spill of resin pellets (nurdles) and burnt plastic (pyroplastic). Field samples collected from beaches in Sri Lanka nearest to the ship comprised nurdles and pieces of pyroplastic. Three years later, the toxicity of the spilled material remains unresolved.

Sanctuary policies and type 2 diabetes medication prescription trends among community health center patients.

Immigrants in the United States are at increased risk of diabetes-related complications due to delayed diagnoses compared with US-born individuals. Immigration-related federal policies may support immigration enforcement activities and restrict some immigrants' access to health insurance and other publicly funded resources. Conversely, state and county-level sanctuary policies may reduce the fear of deportation and increase mobility in the community, improving the accessibility of essential pharmacological treatment for type 2 diabetes patients.