Effects of Chinese traditional ethnic sports on sleep quality among the elderly: a systematic review and meta-analysis.

Objective: Sleep disorders affect approximately one-fifth of the global elderly population, with poor sleep quality among old adults linked to an increased risk of chronic conditions such as cardiovascular disease, diabetes, and hypertension. Chinese traditional ethnic sports have garnered significant attention for their potential to enhance sleep quality in older adults; however, the effectiveness of these interventions remains controversial. This meta-analysis sought to evaluate the impact of Chinese traditional sports on the quality of sleep among older adults.

Probing Visual Literacy Skills Reveals Unexpected Student Conceptions of Chromosomes.

Molecular biology can be challenging for undergraduate students because it requires visual literacy skills to interpret abstract representations of submicroscopic concepts, structures, and processes. The Conceptual-Reasoning-Mode framework suggests that visual literacy relies on applying conceptual knowledge to appropriately reason with the different ways of representing concepts in molecular biology. We used this framework to specifically explore visual literacy related to chromosomes.

Evaluation of the awareness of electromagnetic compatibility and interference for improved medical device management observed in selected Rwanda district hospitals.

Accuracy and reliability of medical device measurements are essential for high-quality healthcare delivery. Electromagnetic compatibility (EMC) is 1 of the conditions that can be monitored when managing electronic and wireless medical devices in hospitals. Noncompliance with EMC can lead to electromagnetic interference (EMI), risking catastrophic failures, especially in vital sign devices such as defibrillators and pacemakers, and potentially irreversible harm to patients' health.

CRISPR-dCas9 Activation of TSG-6 in MSCs Modulates the Cargo of MSC-Derived Extracellular Vesicles and Attenuates Inflammatory Responses in Human Intervertebral Disc Cells In Vitro.

Purpose: The purpose of this study was to boost the therapeutic effect of mesenchymal stem cell (MSC)-derived extracellular vesicles (EVs) by overexpressing the gene TSG-6 through CRISPR activation, and assess the biological activity of EVs from these modified MSCs on human intervertebral disc (IVD) cells.

Methods: An immortalized human MSC line was transduced with a CRISPR activation lentivirus system targeting TSG-6. MSC-EVs were harvested by ultracentrifugation and particle number/size distribution was determined by nanoparticle tracking analysis.

Internalized oppression and deaf people's mental health.

Deaf people experience ableism (able-bodied oppression), audism (hearing-ability oppression), and linguicism (sign language-use oppression) and this study investigated if internalizing these oppressive experiences predicts their mental health. Deaf participants (N = 134) completed a 54-item Deaf Oppression Scale, developed for this study with Ableism, Audism, and Linguicism Subtests, along with the Beck Depression Inventory-II and the State and Trait Anxiety Inventory. The Deaf Oppression Scale and its Ableism, Audism, and Linguicism Subscales carry good reliability and the model fit indices for a confirmatory factor analysis indicated a good fit.

Key components in the professional ethics of sign language interpreters in healthcare contexts: a qualitative study in Colombia.

Objectives: To identified the core components of professional ethics for medical sign language interpreters and develop a framework based on empirical data from Colombian sign language (CSL) interpreters.

Design: Purposive and snowball sampling methods were used in this qualitative study, which involved conducting semistructured interviews to CSL interpreters. Inductive data analysis was performed using the constant comparative method, where data collection and analysis occurred simultaneously.

Ex Vivo and In Vitro Proteomic Approach to Elucidate the Relevance of IL-4 and IL-10 in Intervertebral Disc Pathophysiology.

Background: This study investigates the native presence and potential anabolic effects of interleukin (IL)-4 and IL-10 in the human intervertebral disc (IVD).

Methods: Human nucleus pulposus (NP) cells cultured in 3D from trauma and degenerate IVDs and NP explants were stimulated with 10 ng/mL IL-4, IL-10, or each in combination with 1 ng/mL IL-1β stimulation. The role of IL-4 and IL-10 in the IVD was evaluated using immunohistochemistry, gene expression, and Luminex multiplex immunoassay proteomics (73 secreted) and phosphoproteomics (21 phosphorylated proteins).

Identifying text-based factors that contribute to the superior reading efficiency of skilled deaf readers: An eye-tracking study of length, frequency, and predictability.

Skilled deaf readers are more efficient than their hearing counterparts-they read faster, skipping more words without a negative impact on comprehension. It is not clear from where deaf readers' efficiency derives, because reading is a complex cognitive process that requires readers to extract meaning from text, incorporating visual, lexical, and contextual information. To assess the contributions of these factors to deaf readers' efficiency, we tracked their eye movements as they read sentences with target words that were manipulated for , , and , and we assessed the effects of those variables on (i.

Evaluation of Convolutional Neural Networks (CNNs) in Identifying Retinal Conditions Through Classification of Optical Coherence Tomography (OCT) Images.

Introduction Diabetic retinopathy (DR) is a leading cause of blindness globally, emphasizing the urgent need for efficient diagnostic tools. Machine learning, particularly convolutional neural networks (CNNs), has shown promise in automating the diagnosis of retinal conditions with high accuracy. This study evaluates two CNN models, VGG16 and InceptionV3, for classifying retinal optical coherence tomography (OCT) images into four categories: normal, choroidal neovascularization, diabetic macular edema (DME), and drusen.

Ultrasound elastic modulus reconstruction using a deep learning model trained with simulated data.

Purpose: Ultrasound (US) elastography is a technique for non-invasive quantification of material properties, such as stiffness, from ultrasound images of deforming tissue. The material properties are calculated by solving the inverse problem on the measured displacement field from the ultrasound images. The limitations of traditional inverse problem techniques in US elastography are either slow and computationally intensive (iterative techniques) or sensitive to measurement noise and dependent on full displacement field data (direct techniques).

Feasibility assessment of a pharmaco-kinetic behavior based yield model of salivary cotinine among tobacco users.

Methods: A secondary analysis was conducted using puff topography and salivary cotinine biomarker data from a prior two arm, two period cross-over study conducted in the natural environment over 17 days which enrolled 55 Juul electronic cigarette users. The study expands upon a previously validated behavior-based yield (BBY) which quantified aerosol emissions from a Juul ecig as a function of user behavior. A Pharmacokinetic Behavior-Based Yield (PkBBY) model is introduced which models the uptake of nicotine into the body and its subsequent metabolic decay into cotinine.

Quantitative methodology for poly (butylene adipate-co-terephthalate) (PBAT) microplastic detection in soil and compost.

With the increasing use of biodegradable plastics in agriculture and food packaging, it has become increasingly important to assess the effects of their fragmentation and mineralization in the environment (i.e., soil, compost).

Transforming achiral semiconductors into chiral domains with exceptional circular dichroism.

Highly concentrated solutions of asymmetric semiconductor magic-sized clusters (MSCs) of cadmium sulfide, cadmium selenide, and cadmium telluride were directed through a controlled drying meniscus front, resulting in the formation of chiral MSC assemblies. This process aligned their transition dipole moments and produced chiroptic films with exceptionally strong circular dichroism. -factors reached magnitudes as high as 1.

The underlying mechanisms of the association of bone health with depression - an experimental study.

Background: Depression constitutes a risk factor for osteoporosis, but underlying molecular and cellular mechanisms are not fully understood. MiRNAs influence gene expression and are carried by extracellular vesicles (EV), affecting cell-cell communication.

Aims: (1) Identify the difference in miRNA expression between depressed patients and healthy controls; (2) Analyze associations of these miRNAs with bone turnover markers; (3) Analyze target genes of differentially regulated miRNAs and predict associated pathways regarding depression and bone metabolism.

Quorum sensing mediates morphology and motility transitions in the model archaeon .

Quorum sensing (QS) is a mechanism of intercellular communication that enables microbes to alter gene expression and adapt to the environment. This cell-cell signaling is necessary for intra- and interspecies behaviors such as virulence and biofilm formation. While QS has been extensively studied in bacteria, little is known about cell-cell communication in archaea.

A luminous and young galaxy at = 12.33 revealed by a JWST/MIRI detection of Hα and [O iii].

The James Webb Space Telescope has discovered a surprising population of bright galaxies in the very early Universe (≲500 Myr after the Big Bang) that is hard to explain with conventional galaxy-formation models and whose physical properties are not fully understood. Insight into their internal physics is best captured through nebular lines, but at these early epochs, the brightest of these spectral features are redshifted into the mid-infrared and remain elusive. Using the mid-infrared instrument onboard the James Webb Space Telescope, here we present a detection of Hα and doubly ionized oxygen ([O iii] 4959,5007 Å) from the bright, ultra-high-redshift galaxy candidate GHZ2/GLASS-z12.

Fluid flow impacts endothelial-monocyte interactions in a model of vascular inflammatory fibrosis.

The aberrant vascular response associated with tendon injury results in circulating immune cell infiltration and a chronic inflammatory feedback loop leading to poor healing outcomes. Studying this dysregulated tendon repair response in human pathophysiology has been historically challenging due to the reliance on animal models. To address this, our group developed the human tendon-on-a-chip (hToC) to model cellular interactions in the injured tendon microenvironment; however, this model lacked the key element of physiological flow in the vascular compartment.

The experiences of speech-language pathologists when collaborating with spoken language interpreters, multilingual families, and their children with hearing loss.

Purpose: The parents of children who are deaf or hard-of-hearing may require a spoken language interpreter to access early-intervention services. This research sought to describe speech-language pathologists' perspectives regarding collaboration with interpreters in this space.

Method: Twenty-seven speech-language pathologists working in Australia completed a cross-sectional mixed-method online survey.

Employing the Oncolytic Vesicular Stomatitis Virus in Cancer Virotherapy: Resistance and Clinical Considerations.

Vesicular Stomatitis Virus (VSV) has emerged as a promising candidate for various clinical applications, including vaccine development, virus pseudotyping, and gene delivery. Its broad host range, ease of propagation, and lack of pre-existing immunity in humans make it ideal for therapeutic use. VSV's potential as an oncolytic virus has garnered attention; however, resistance to VSV-mediated oncolysis has been observed in some cell lines and tumor types, limiting its effectiveness.

Food Security and Cardio-Metabolic Risk in Individuals with Metabolic Syndrome.

This study assessed the association of food security with potential cardio-metabolic risk factors among persons with metabolic syndrome (MetS). Data were derived from the baseline data of a randomized controlled lifestyle intervention trial for individuals with MetS. Household food security, fruit and vegetable intake, perceived food environment, and perceived stress were collected using validated questionnaires.

Mathematical assessment of the role of temperature on desert locust population dynamics.

This study presents a novel non-autonomous mathematical model to explore the intricate relationship between temperature and desert locust population dynamics, considering the influence of both solitarious and gregarious phases across all life stages. The model incorporates temperature-dependent parameters for key biological processes, including egg development, hopper growth, adult maturation, and reproduction. Theoretical analysis reveals the model's capacity for complex dynamical behaviors, such as multiple stable states and backward bifurcations, suggesting the potential for sudden and unpredictable population shifts.

Temporal Tendencies: Exploring the Impact of Chronotype Timing on Youth Depression Risk.

Developmental changes in youth sleep preferences (chronotype) and pubertal development are consequential for youth risk for depression. Previous research has identified individual differences in chronotype in risk for psychopathology. However, little is known regarding how the timing of chronotype may confer risk in youth.

Characterization and Machine Learning-Driven Property Prediction of a Novel Hybrid Hydrogel Bioink Considering Extrusion-Based 3D Bioprinting.

The field of tissue engineering has made significant advancements with extrusion-based bioprinting, which uses shear forces to create intricate tissue structures. However, the success of this method heavily relies on the rheological properties of bioinks. Most bioinks use shear-thinning.

Neuromorphic computing at scale.

Neuromorphic computing is a brain-inspired approach to hardware and algorithm design that efficiently realizes artificial neural networks. Neuromorphic designers apply the principles of biointelligence discovered by neuroscientists to design efficient computational systems, often for applications with size, weight and power constraints. With this research field at a critical juncture, it is crucial to chart the course for the development of future large-scale neuromorphic systems.

PeptideForest: Semisupervised Machine Learning Integrating Multiple Search Engines for Peptide Identification.

The first step in bottom-up proteomics is the assignment of measured fragmentation mass spectra to peptide sequences, also known as peptide spectrum matches. In recent years novel algorithms have pushed the assignment to new heights; unfortunately, different algorithms come with different strengths and weaknesses and choosing the appropriate algorithm poses a challenge for the user. Here we introduce PeptideForest, a semisupervised machine learning approach that integrates the assignments of multiple algorithms to train a random forest classifier to alleviate that issue.