PLoS ONE
Articles in this Issue
EchoMamba: A new Mamba model for fast and efficient hyperspectral image classification
The classification of hyperspectral images (HSI) is an important foundation in the field of remote sensing. Mamba architectures based on state space model (SSM) have shown great potential in the field...
Global burden of disease due to opioid, amphetamine, cocaine, and cannabis use disorders, 1990-2021: a systematic analysis for the Global Burden of Disease Study 2021
Drug use disorders (DUDs) represent a major global health challenge, leading to substantial morbidity and mortality, while also being compounded by social and structural barriers. In this study, we ex...
Bioinformatics analysis and experimental validation of the potential relationship between bacterial lipopolysaccharide and oral squamous cell carcinoma
Background Advances in science and medicine have led to the identification of bacterial virulence factors (including lipopolysaccharide, LPS) and their key role in the occurrence and outcome of tumors...
MSC and HUVEC co-cultured fillers overcome intractable fistula in a new mouse model
Anastomotic leakage can lead to intractable fistulae after gastrointestinal surgery in patients with severe comorbidities. In this study, we aimed to devise new intractable fistula mouse models and ev...
An efficient hybrid reliability analysis method with application to the harmonic drive
The harmonic drive is a new type of high-efficiency gear transmission system, widely used in precision machinery, robotics, and aerospace due to its compact structure and high transmission accuracy, a...
Predicting art university students’ entrepreneurial intention: A hybrid SEM–ANN approach
In recent years, academics and policymakers have increasingly focused on entrepreneurial behavior among university students. While existing studies have explored the entrepreneurial intention (EI) of...
Predicting customer loyalty in omnichannel retailing using purchase behavior, socio-cultural factors, and learning techniques
In the competitive retail omnichannel market, customer loyalty is essential for maintaining market share and reducing the cost of acquiring new customers. Previous research has primarily focused on fa...
Malnutrition among under-five children in amhara and oromia regions, Ethiopia: Continuous time markov multi-state modeling
Background Ethiopia faces a high burden of undernutrition prevalence, ranking among the 15 worst-affected nations globally. So, this study aimed to find out how often and how long under-five children...
Estimating the size of hard to sample populations: A comprehensive study on female sex workers and sexually exploited minors in Rwanda using privatized network sampling in 2023
Introduction Female sex workers (FSW) are at increased risk of HIV and other STI. In addition, the burden of HIV infection among this group is much higher when compared to adult females in the general...
Tick phenology, tick-host associations, and tick-borne pathogen surveillance in a recreational forest of East Texas, USA
Management of tick-borne disease necessitates an understanding of tick phenology, tick-host associations, and pathogen dynamics. In a recreational hotspot outside of one of the largest cities in the U...
Multi-task deep learning for predicting metabolic syndrome from retinal fundus images in a Japanese health checkup dataset
Background Retinal fundus images provide a noninvasive window into systemic health, offering opportunities for early detection of metabolic disorders such as metabolic syndrome (METS). Objective Thi...
Effectiveness of a multilevel intervention to improve mental health of hospital workers: The SEEGEN multicenter cluster randomized controlled trial
Introduction Hospital workers are at high risk for stress-related mental health issues and are considered a vulnerable workforce in most Western countries. Although multilevel interventions that addre...
Herbicide dose-response thresholds in sands to assess the risk of non-target damage to winter grain crops
Herbicide residues in soil from previous crops or from pre-emergent treatments can have unintended toxicity on the next crop. Despite this there is limited published information on toxicity thresholds...
A hybrid approach for forecasting peak expiratory flow rate in asthma patients using combined linear regression and random forest model
Asthma is a frequent and long-lasting disorder associated with airway inflammation. The disease severity may lead to serious health concerns and even mortality. In this work, we propose a novel hybrid...
Effects of transcranial direct current stimulation using a commercially available device on gait in Parkinson’s disease with freezing of gait
Background Gait disturbance is one of the most disabling symptoms in patients with Parkinson’s disease (PD). In particular, freezing of gait (FOG) is a major cause of falls and significantly impairs t...
Burden of laryngeal cancer attributable to occupational asbestos exposure in China: A comprehensive analysis from 1990 to 2021
Background Laryngeal cancer attributable to occupational asbestos exposure remains a significant public health concern, particularly in industrialized regions. This study analyzes the burden, trends,...
Navigating tenses in Bengali sentences: A stacked ensemble model for enhanced prediction
Tense classification in Bengali sentences is a fundamental yet unsolved problem of Bangla natural language processing (NLP) which is essential for tasks like machine translation, sentiment analysis, g...
Preliminary analysis of the metabolic and physical activity profiles of mice lacking the slc43a3-encoded equilibrative nucleobase transporter 1
SLC43A3 encodes for a membrane transporter selective for purine nucleobases (equilibrative nucleoside transporter 1; ENBT1). Adenine, an endogenous substrate for ENBT1, plays an important role in many...
Influence of mindfulness and coping flexibility in the early phases of burnout development in intensive care unit healthcare workers during the COVID-19 pandemic
Background Caregivers in intensive care units are exposed to high levels of stress, which were exacerbated during the COVID-19 pandemic, increasing the incidence of stress-related disorders, including...
Research on the impact path of virtual streamers characteristics on agricultural product consumers’ purchase intention
Live-streaming e-commerce for agricultural product has become a new exploration in rural revitalization and digital commerce in China, with AI-driven virtual streamers emerging as a new trend in this...
Asaia spp. exposure for improving mosquito mass-rearing, and the effects on Culex pipiens pipiens vector competence for West Nile virus
Various vector control strategies are in place to reduce the spread of arthropod-borne viruses. Some of these, such as application of insecticides, are encountering operational challenges and a reduce...
Impact of cilostazol on clinical outcomes in lower extremity arterial disease patients after angioplasty: A real-world analysis
Background Cilostazol has been shown to improve walking distance in patients with lower extremity arterial disease (LEAD) and may reduce restenosis after revascularization. However, its long-term prog...
FTIR-derived soil degradation indices and stochastic modelling of organic matter–sediment dynamics in a Mediterranean watershed: A Northern Apennines case study
In this study we explored the relationships between Soil Organic Matter (SOM) properties, serving as potential indicators of soil degradation and erosion, and environmental, geomorphic, and hydrologic...
Targeting serum phosphate trajectory stratification to improve outcomes in high-risk Cardiovascular-Kidney-Metabolic-Sepsis cohorts
Background Sepsis patients exhibit complex clinical conditions, frequently complicated with metabolic dysregulation. Cardiovascular-Kidney-Metabolic Syndrome (C-K-M) is classified as below: stage 0, n...
An novel cloud task scheduling framework using hierarchical deep reinforcement learning for cloud computing
With the increasing popularity of cloud computing services, their large and dynamic load characteristics have rendered task scheduling an NP-complete problem.To address the problem of large-scale task...