PLoS ONE
Articles in this Issue
Loop parallelization in source code for internet of things computing using hybrid heuristic algorithm
Efficient task scheduling remains a key challenge in High-Performance Computing and Internet of Things (IoT) systems, where the sequential execution of nested loops often limits parallelism. This pape...
Archaeometric analysis of Early Bronze Age bread from Küllüoba Höyük
Bread is a fundamental foodstuff that has driven social and technological development for millennia, with the earliest evidence dating to pre-agricultural societies. While archaeological sites from th...
PH-SHOWOA: Parallel hybrid SHO-WOA for VRPSPDTW
This paper proposes a parallel hybrid metaheuristic, named PH-SHOWOA, that integrates the Spotted Hyena Optimizer (SHO) and the Whale Optimization Algorithm (WOA) to solve the Vehicle Routing Problem...
Using the consolidated framework for implementation research to evaluate a model of community-engaged research in advance care planning
Background Advance care planning (ACP) is the process of discussing one’s goals and wishes for end-of-life care with loved ones or clinicians and then completing an advance directi...
Behavioral patterns in latrine use and handwashing in rural western Kenya: Age, time of day, and the role of perceived safety
Latrine use enhances health benefits, safety, dignity, and social status. Despite increased latrine coverage, some children and adults do not consistently use latrines. The present study aimed to desc...
Favorable association between early initiation of sodium-glucose cotransporter-2 inhibitors and in-hospital prognosis in acute myocardial infarction
Introduction Acute myocardial infarction remains a major cause of death and disability worldwide, especially in low- and middle-income countries. Standard early management includes...
MedZeroSeg: Zero-shot medical image segmentation via vision foundation models
A novel medical image segmentation framework, MedZeroSeg , is proposed to address key challenges in the field. Leveraging vision foundation models such as CLIP...
GAN-based underwater image enhancement and scene classification using transfer learning
This paper provides an exploratory analysis of underwater video analysis techniques to enhance image quality and facilitate accurate classification of different marine species. Our methodology progres...
GAL4-based functional screen of neuropeptides in Drosophila reproduction
Neuropeptides are evolutionarily conserved signaling molecules that regulate diverse behavioral and physiological processes, including reproduction. Although, several neuropeptides have established ro...
Assessing the impact of human error factors on railway accident severity: Evidence from accident investigation reports in Korea
This study investigates the role of human error factors in shaping the severity of railway accidents. Using a structured coding scheme to transform qualitative accident investigation reports into quan...
Association of long-term exposure to air pollution with sleep among middle-aged and older adults in China: A nationwide study from 2015 to 2018
Background This study aims to evaluate the associations of long-term exposure to five major air pollutants (PM 2.5...
Measuring cerebral glucose metabolism by chemical exchange-sensitive spin-lock (CESL) MRI of 2-deoxy-D-glucose in rodents
Magnetic resonance imaging (MRI) of glucose metabolism shows significant potential for identifying disease biomarkers and monitoring therapeutic responses in neurological conditions. Here, we present...
Ensuring end-to-end privacy in IoT-based healthcare systems through hyperledger fabric and identity mixer
Healthcare information is often sensitive and confidential, and any unauthorized disclosure can jeopardize patient privacy. Centralized approaches currently used to protect patient information are vul...
Effects of two side-by-side camera trap deployments on estimations of richness, abundance, and the detection of medium- and large-sized mammals
Medium- and large-sized mammals play key ecological roles but remain difficult to monitor due to low detectability and logistical constraints. Camera traps are widely used to address these challenges;...
Major Trauma Triage Study (MATTS): Diagnostic accuracy of major trauma triage tools in English regional trauma networks – A case-cohort study
Background Major trauma is a leading cause of death and disability. Specialised care in major trauma centres has been associated with improved outcomes and prehospital triage tools...
Correction: Single-item versus scale: Comparing respondent demographic, social, and health characteristics by measure of loneliness using the Canadian Longitudinal Study on Aging (CLSA) data
A spatio-temporal self-supervised meta-learning network with dynamic graph learning for traffic flow forecasting
Accurate traffic flow prediction is essential for alleviating urban congestion, improving road network efficiency, and sup-porting sustainable transportation systems. Existing spatio-temporal graph ne...
Exploring the effectiveness of podcasts in improving sexual health among young people: Findings from a qualitative study
Background Sexual health promotion among young people remains an urgent global priority. Despite robust public health systems, young people living in Australia continue to experien...
Comparison of cognitive ability and its distribution between men with autism spectrum disorder and attention-deficit/hyperactivity disorder
Objectives Clarification of the strengths and weaknesses of cognitive ability is essential to our understanding of the characteristics of autism spectrum disorder and attention def...
Dynamic stability analysis of mixed-composition platoons with spatially weighted cooperative control
In mixed traffic environments, the spatial distribution of Connected and Automated Vehicles (CAVs) plays a decisive yet previously unquantified role in platoon stability and safety. This study establi...
SGA-DT: An adaptive fusion framework for missing data imputation and interpretable healthcare classification
Despite advances in machine learning and medical data processing, handling missing values remains a critical and complex challenge in healthcare analytics. Missing data, especially in non-class attrib...
Adaptability factors and behavioral biases of investors in frontier markets: An adaptive market hypothesis perspective
The Adaptive Market Hypothesis (AMH) suggests that investors are imperfect but adaptive, allowing behavioral biases to persist and evolve over time. However, empirical research on how adaptability fac...
Exploring Chatgpt as a digital social support tool for bulimia nervosa
Social support is essential in eating disorder care. Beyond traditional sources, ChatGPT offers a novel and underexplored digital approach that may complement but also potentially challenge existing s...
Robust speed control of permanent magnet synchronous motors using model predictive and sliding mode strategies
This paper presents robust speed-control techniques for permanent-magnet synchronous motors (PMSMs) by integrating model-predictive and sliding-mode strategies. Two controllers are developed: a Slidin...
Individual and cumulative effects of social determinants of health on cardiovascular disease: Gender-specific insights from a cross-sectional NHANES study
Objective This study aimed to examine the associations of individual and cumulative social determinants of health (SDoH) with cardiovascular disease (CVD) prevalence and sex-specif...