Perception of scholarly collaboration and its influencing factors among doctoral-prepared and -preparing nurses: A regional nursing society-based survey.

Background: Nurses with research- and practice-focused doctorate degrees complement each other's work and contribute to the advancement of nursing profession. Understanding perceived scholarly collaboration and its influencing factors can facilitate effective teamwork, benefit the nursing profession, and improve patient outcomes.

Purpose: This study aimed to investigate the perceived scholarly collaboration and its influencing factors among nurses with or pursing doctoral degrees.

Performance assessment of reclaimed fly ash-slag geopolymers incorporating waste spent garnet and waste foundry sand under different curing regimes.

Fly ash (FA) landfills are overflowing with materials, and unexplored waste streams like waste spent garnet (WSG) and waste foundry sand (WFS) are often dumped in onsite storage spaces, limiting land availability for future use and exacerbating environmental concerns related to waste disposal. Therefore, this research proposes recycling FA to produce reclaimed FA (RFA) as a binder, replacing 40-60% of ground granulated blast furnace slag (GGBFS) and 30-50% of river sand (RS) with WSG and WFS to produce geopolymers. The performance of geopolymers was assessed under different curing regimes, including ambient-temperature curing (ATC), ambient-temperature water curing (AWC), high-temperature curing (HTC), and high-temperature water curing (HWC).

Ketogenic Diets: Dietary Therapeutic Potential on Breast Cancer.

Among the various types of tumors, breast cancer (BC) has a high distribution in the world population and is responsible for a high mortality rate. Like other forms of cancer, BC is characterised by distinctive features such as high-energy metabolism in tumor cells, genetic mutations, and mitochondrial dysfunction that sometimes make conventional therapies less effective. However, there is a growing awareness of the vital role played by diet therapy in the overall management of the patient with BC, both by supporting standard therapy and by directly targeting aberrant biological processes involved in carcinogenesis.

Recent advances in oxygen reduction reaction catalysis under neutral conditions.

The oxygen reduction reaction (ORR) is central to energy devices and sustainable chemical production. While acidic and alkaline ORR systems are well studied, neutral media offer advantages such as biocompatibility, environmental safety, and material stability, yet remain less explored. This mini-review summarizes recent progress in ORR electrocatalysis under neutral conditions, covering both four-electron (4e) and two-electron (2e) pathways.

A Motivational Framework to Connect Traditional Feminine Gender Roles to Alcohol Use and Consequences Among Latina Young Adults in the United States.

Traditional feminine gender roles (TFGRs) may be important sociocultural predictors of drinking among U.S. Latinas; however, examining the explanatory role of drinking motives will improve current understanding of the connection between TFGRs and alcohol use.

Disease and non-battle injury incidence rate trends in the US military, 2010-2021.

Introduction: This study's purpose was to analyse disease and non-battle injury (DNBI) incidence trends in US military personnel from 2010 to 2021 to understand implications for medical readiness.

Methods: A retrospective cohort of deidentified DNBI cases was developed from the person-event data environment for all military personnel between 2010 and 2021. Chronic and acute conditions were identified using the clinical classification software for categorising International Classification of Disease-9-Clinical Modification (ICD-9-CM) codes and clinical classification software refined for categorising ICD-10-CM codes.

Behavioral and psychological determinants of pedestrian collisions on arterial roads with evidence from random parameter models.

Arterial roads, while comprising a small percentage of total roadway mileage in the U.S., contribute disproportionately to pedestrian fatalities.

Adolescent executive function as a resilience factor in the family stress model among Mexican-origin families.

Mexican-origin families often face economic hardship due to systemic oppression, increasing the likelihood of adolescent marijuana use. While the family stress model provides insight into the mechanism of the association between family economic hardship and adolescent marijuana use, resilience factors are relatively unknown. The present study uses a three-wave longitudinal data set of Mexican immigrant families in the United States (Wave 1-adolescents: = 12.

AI-Generated Fall Data: Assessing LLMs and Diffusion Model for Wearable Fall Detection.

Training fall detection systems is challenging due to the scarcity of real-world fall data, particularly from elderly individuals. To address this, we explore the potential of Large Language Models (LLMs) for generating synthetic fall data. This study evaluates text-to-motion (T2M, SATO, and ParCo) and text-to-text models (GPT4o, GPT4, and Gemini) in simulating realistic fall scenarios.

Commercial Bacteriophage Cocktail Treatment Reduces Salmonella Infantis Levels in Pre-Harvest Agricultural Water.

Contaminated irrigation water in the pre-harvest environment can lead to outbreaks associated with fruits and vegetables. The potential of microbial contamination in pre-harvest waters by bacterial pathogens has created an ongoing demand for effective water treatment methods to mitigate this risk. This study sought to evaluate the efficacy of a commercial bacteriophage cocktail against Salmonella Infantis in agricultural water.

Waist-Calf Circumference Ratio Is Associated with Body Composition, Physical Performance, and Muscle Strength in Older Women.

The waist-calf circumference ratio (WCR) is an index that combines waist and calf circumference measurements, offering a potentially effective method for evaluating the imbalance between abdominal fat and leg muscle mass in older adults. To assess the association between WCR and indicators of body composition, muscle strength, and physical performance in community-dwelling older women. This was a cross-sectional study involving 133 older women (≥65 years) from an urban-marginal community in Guayaquil, Ecuador.

Enhancing Public Health Nursing Competencies Through Game-Based Education.

Background: Community and public health nursing (C/PHN) needs to expand to meet evolving population health needs, yet baccalaureate nursing graduates often lack the competencies required for these roles.

Purpose: The aim of this study was to enhance nursing student self-efficacy in C/PHN competencies through virtual simulation games (gamulations).

Methods: Researchers developed 6 public health scenarios in collaboration with a software company and piloted gamulations with 90 senior nursing students, 3 faculty, and 1 practicing PHN.

Beyond dietary therapy: addressing weight stigma awareness in medical students.

Background: The growing prevalence of obesity worldwide has drawn increased attention to the issue of weight stigma. Discriminatory attitudes related to body weight are evident across various settings, including those that should ideally offer support to individuals with obesity, such as schools and sports facilities. This research aimed to examine weight-related stigma among university students enrolled in healthcare-related academic programs.

A Transient Phenolate Enables Relaxation of Z-Tetra-ortho-fluoroazobenzene to the Stable State in Seconds.

Tetra-ortho-fluoroazobenzenes (TFAs) exhibit several unique properties, including a large separation in the n→π absorption bands, which allows for efficient photoisomerization using green light, and exceptional thermal stability of their metastable Z-isomer. These features make them attractive for light-responsive applications, but controlling the thermal Z-to-E isomerization has remained a challenge. In this work, we present a hybrid molecular system that couples a TFA subunit with a spiropyran photoswitch.

Air pollution and cognitive performance in late life: the role of lipid profile - results from the Multi-Ethnic Study of Atherosclerosis (MESA).

Introduction: Evidence on blood lipids in the air pollutant-cognition relationship is scarce. In this study, we identified the role of blood lipids in the air pollutant-cognition relationship in the Multi-Ethnic Study of Atherosclerosis (MESA) cohort.

Methods: The study sample consisted of 1,518 adults who participated in MESA Exams 1-6 (2000-2018).

Evolutionary morphology of genital spines informed by puncture mechanics.

Genital spines are widespread in animals with internal fertilization, and their morphology is diverse. Many hypotheses have been proposed to explain their presence, yet their function has not been tested in most systems. We do not yet have a framework to characterize their morphology and potential function, even to determine if they puncture the vaginal tract (as is often assumed).

Identifying trends in reporting on the ethical treatment of insects in research.

Transparent reporting on the ethical treatment of research animals (e.g., implementation of the 3Rs, replace, reduce, and refine) is recommended when publishing in peer-reviewed literature.

Ending the HIV Epidemic: Development and Evaluation of CyberGIS-HIV, a Web-Based Prediction Application.

Officials from US state and county health departments perceive the need to adopt new methods for making epidemiological decisions about HIV. Hence, a web-based prediction modeling application, CyberGIS-HIV, was developed and systematically compared with currently used approaches (e.g.

An exploration of testing genetic associations using goodness-of-fit statistics based on deep ReLU neural networks.

As a driving force of the fourth industrial revolution, deep neural networks are now widely used in various areas of science and technology. Despite the success of deep neural networks in making accurate predictions, their interpretability remains a mystery to researchers. From a statistical point of view, how to conduct statistical inference (e.

Enhancing Wearable Fall Detection System via Synthetic Data.

Deep learning models rely heavily on extensive training data, but obtaining sufficient real-world data remains a major challenge in clinical fields. To address this, we explore methods for generating realistic synthetic multivariate fall data to supplement limited real-world samples collected from three fall-related datasets: SmartFallMM, UniMib, and K-Fall. We apply three conventional time-series augmentation techniques, a Diffusion-based generative AI method, and a novel approach that extracts fall segments from public video footage of older adults.