PLoS ONE

Vol. 20, Issue 6 Issue 6 2025
1950
Articles

Articles in this Issue

TNFAIP9 protects against the development of the early stage of chronic kidney disease: Focus on inflammation and fibrosis

Ying Chen, Yanqiu Li, Deyu Zhang Jun 05, 2025 pp. e0325334 10.1371/journal.pone.0325334

Tumor necrosis factor alpha-induced protein 9 (TNFAIP9) is a crucial effector molecule that protects cells from inflammatory and metabolic damage. This study focuses on investigating the role and regu...

Self-motivated effects of teachers’ supportive behaviors on students’ intentions of online continuous learning -- based on educational digital transformation

Zhiqun Ouyang, Xin Bai, Lin Huang et al. Jun 05, 2025 pp. e0324731 10.1371/journal.pone.0324731

The study explored the factors influencing students’ online continuous learning intentions (CLI) based on educational digital transformation (EDT). The theoretical model was based on the technology ac...

Augmented Ensemble Model (AEM) for health trends prediction on social networks

Sonia Saini, Ruchi Agarwal, S.P. Singh et al. Jun 05, 2025 pp. e0323449 10.1371/journal.pone.0323449

Social Media has given an exponential rise to an ever-connected world. Health data that was earlier viewed as hospital records or clinical records is now being shared as text over social media. Inform...

Growth monitoring and promotion program services utilization patterns between home-based and facility-based delivery methods: A comparative analysis

Muttaquina Hossain, Md. Ahshanul Haque, Abu Syed Golam Faruque et al. Jun 05, 2025 pp. e0324918 10.1371/journal.pone.0324918

Background In Bangladesh, utilization of government health facility-based growth monitoring and promotion (GMP) services is notably low, prompting non-governmental organizations (NGOs) to collaborate...

Reconstruction of missing data in transferred generative adversarial networks with small sample data

Jing He, Hongrun Chen, Zhenwen Sheng Jun 05, 2025 pp. e0322323 10.1371/journal.pone.0322323

Under special working conditions, data collection systems of heavy-duty trains may be faced with a small sample size and missing data when executing measurement, operation, or maintenance tasks. Exist...

Common misconceptions held by health researchers when interpreting linear regression assumptions, a cross-sectional study

Lee Jones, Adrian Barnett, Dimitrios Vagenas Jun 05, 2025 pp. e0299617 10.1371/journal.pone.0299617

Background: Statistical models are valuable tools for interpreting complex relationships within health systems. These models rely on a framework of statistical assumptions that, wh...

The protective effect of iron isomaltoside on myocardial ischemia-reperfusion injury via the suppression of KLF4/NF-κB signaling

Huiping Gong, Qingyang Zhao, Jingbo Zhang et al. Jun 05, 2025 pp. e0323247 10.1371/journal.pone.0323247

This study aimed to investigate the beneficial effects of iron isomaltoside (IIM) on myocardial function and the associated mechanisms in rats with myocardial ischemia/reperfusion (I/R)-induced damage...

Upper extremity joint tenderness as a practical indicator for assessing presenteeism in rheumatoid arthritis patients: A cross-sectional observational study

Ryota Naito, Masashi Taniguchi, Hideo Onizawa et al. Jun 05, 2025 pp. e0318047 10.1371/journal.pone.0318047

Objective Rheumatoid arthritis (RA) causes chronic polyarthritis and joint dysfunction, reducing work productivity. This reduction is mainly due to presenteeism, characterized by impaired work perform...

Identifying dynamic regulation with machine learning using adversarial surrogates

Ron Teichner, Naama Brenner, Ron Meir Jun 05, 2025 pp. e0325443 10.1371/journal.pone.0325443

Biological systems maintain stability of their function in spite of external and internal perturbations. An important challenge in studying biological regulation is to identify the control objectives...

Adaptive network steganography using deep learning and multimedia video analysis for enhanced security and fidelity

Chunhong Han, Tao Xue Jun 05, 2025 pp. e0318795 10.1371/journal.pone.0318795

This study presents an advanced adaptive network steganography paradigm that integrates deep learning methodologies with multimedia video analysis to enhance the universality and security of network s...

The influence of resource use on yield versus sale price trade-off in Australian vineyards

Bryce Boyd, Kate Helmstedt, Mardi Longbottom et al. Jun 05, 2025 pp. e0323500 10.1371/journal.pone.0323500

Strategies for achieving sustainability in the winegrowing industry require balancing resource investment against the economic outcomes of resultant yields and sale price of the produce. Although ther...

AI-delirium guard: Predictive modeling of postoperative delirium in elderly surgical patients

Sri Harsha Boppana, Divyansh Tyagi, Sachin Komati et al. Jun 05, 2025 pp. e0322032 10.1371/journal.pone.0322032

Introduction In older patients, postoperative delirium (POD) is a major complication that can result in greater morbidity, longer hospital stays, and higher healthcare expenses. Accurate prediction mo...

The effects of solar radiation modification on solar and wind resource and power generation in the Caribbean

Matthew St. Michael Williams, Leonardo A. Clarke, Randy Koon Koon et al. Jun 05, 2025 pp. e0325226 10.1371/journal.pone.0325226

The slow pace of global mitigation efforts has led to increased interest in Solar Radiation Modification (SRM) as a means for rapidly and artificially cooling the planet. Deploying SRM technologies, h...

Short-term bridging and bird-dog exercise programs did not enhance trunk performance and whole-body dynamic balance in young physically active males: A double-blind randomized trial

Amaya Prat-Luri, Francisco J. Vera-Garcia, Pedro Moreno-Navarro et al. Jun 05, 2025 pp. e0325040 10.1371/journal.pone.0325040

Bridges and bird-dog exercises are commonly used in general training, as well as in warm-up and cool-down routines for young athletes to boost performance and prevent injuries. They are frequently pai...

A descriptor-free machine learning framework to improve antigen discovery for bacterial pathogens

Marco Podda, Castrense Savojardo, Pier Luigi Martelli et al. Jun 05, 2025 pp. e0323895 10.1371/journal.pone.0323895

Identifying protective antigens (PAs), i.e., targets for bacterial vaccines, is challenging as conducting in-vivo tests at the proteome scale is impractical. Reverse Vaccinology (RV) aids in narrowing...

Differential linear brain growth patterns in preterm neonates based on birth gestational age and steroid exposure: A retrospective chart review

Medha Goyal, Meagan Quigley, Sourabh Dutta et al. Jun 05, 2025 pp. e0323454 10.1371/journal.pone.0323454

Objective To assess the differences in brain growth between extreme preterm [EP](22–28wks gestation age [GA]) and very preterm infants [VP](28+1–32wks GA) using two-dimensional cranial ultrasound(cUS)...

Antibiofilm effects of bacteriocin PCM7-4 on Listeria monocytogenes

Haotian Ma, JinJu Peng, Yang Li et al. Jun 05, 2025 pp. e0325109 10.1371/journal.pone.0325109

Listeria monocytogenes is a significant zoonotic pathogen capable of forming biofilms on food and other materials, representing a considerable risk to human health and animal husbandry. The use of bac...

Food purchasing pattern is correlated to gender, educational level, and income: Results from the food purchasing habits survey

Hiba F. Al-Sayyed, Zeinah F. AbuZeinah, Narmeen J. Al-Awwad Jun 05, 2025 pp. e0322781 10.1371/journal.pone.0322781

Food purchasing pattern refers to the consumer behavior related to buying food. Rice and bread are the staple foods of Jordan. Legumes, cereals, milk, and dairy products constitute important part of t...

Analysis of the factors influencing the dissemination of Mazu culture in Southeast Asia during the Qing Dynasty

Dingying Lin, Zhiming Zhou, Xiaobin Zhang et al. Jun 05, 2025 pp. e0325164 10.1371/journal.pone.0325164

Mazu culture has had a profound impact on Southeast Asia. Its widespread dissemination during the Qing Dynasty resulted from the combined influence of various factors. This study uses the number of Ma...

Machine learning-based prediction model for cognitive impairment risk in patients with chronic kidney disease

Meng Cao, Bixia Tang, Liwei Yang et al. Jun 05, 2025 pp. e0324632 10.1371/journal.pone.0324632

Background The high prevalence of cognitive impairment (CI) in Chronic kidney disease (CKD) patients impacts their quality of life and prognosis, yet risk prediction models for CI in this population r...

A comparative overview of aggregation methods of a graphical risk assessment: An analysis based on a critical infrastructure project

Albert Kutej, Stefan Rass, Rainer W. Alexandrowicz Jun 05, 2025 pp. e0325267 10.1371/journal.pone.0325267

We compare the traditional risk and opportunity assessment method, which relies on fixed values for impacts (or potentials) and probabilities, with a graphical approach that incorporates the represent...

The impact of agricultural green finance on the level of agricultural green development

Aihua Tong, Huawei Niu, Lili Jiang et al. Jun 05, 2025 pp. e0323703 10.1371/journal.pone.0323703

Agricultural green finance is an important means to boost the development of agricultural green. Based on the panel data of 30 provinces in China from 2011 to 2021, this paper theoretically discusses...

Simulated larvae dispersion of the invasive sun-coral (Tubastrea spp.) along Rio de Janeiro’s coast: The role of submesoscale filaments on offshore transport and connectivity

Leandro Calado, Bernardo Cosenza, Francisco Moraes et al. Jun 05, 2025 pp. e0313240 10.1371/journal.pone.0313240

The spread of invasive species in marine ecosystems is a growing global concern, particularly in regions with high economic and ecological importance. Sun corals (Tubastraea spp.) are native scleracti...

Adaptive density peak clustering based on Delaunay graph

Wei Xingqiong, Li Kang Jun 05, 2025 pp. e0325161 10.1371/journal.pone.0325161

Clustering is a fundamental tool in data mining, widely used in various fields such as image segmentation, data science, pattern recognition, and bioinformatics. Density Peak Clustering (DPC) is a den...

TERT translocation as a Novel condition in Intrauterine Growth Restriction rats with early catch-up growth

Guo-qian He, Yi-ling Dai, Zhuo Huang et al. Jun 05, 2025 pp. e0312221 10.1371/journal.pone.0312221

Infants born with intrauterine growth restriction (IUGR) followed by postnatal rapid catch-up growth are prone to develop metabolic diseases later in life. However, its effects and underlying molecula...

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Journal Info

Publisher Public Library of Science
ISSN 1932-6203
Subject Health Sciences
Language English
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