PLoS ONE
Articles in this Issue
The influence of investor sentiment on the Chinese stock market amid COVID-19: An event study analysis
This study investigates the influence of investor sentiment on the Chinese stock market during the COVID-19 pandemic, using an event study analysis to examine data from December 2019 to December 2022....
Development of a prostate cancer biochemical recurrence risk signature using machine learning and motor protein-related genes
Background Motor proteins play significant roles in cancer progression, but their involvement in biochemical recurrence (BCR) of prostate cancer remains unclear. The objective of the study is to devel...
Reconstructing flexible pathways of Aurignacian blade and bladelet production at Vogelherd
The beginning of the Upper Paleolithic represents a key period in human history. At this time, we can grasp the technological concepts that Homo sapiens used in the early Upper Paleolithic. The age of...
Overcoming barriers to NHS adoption of innovative IPC products: A qualitative study of SMEs in the Liverpool city region
Healthcare-associated infections (HAIs) result in prolonged hospital stays and an increased incidence of infections caused by antimicrobial-resistant bacteria. Small and Medium Enterprises (SMEs) play...
A phosphoramidate modification of FUDR, NUC-3373, causes DNA damage and DAMPs release from colorectal cancer cells, potentiating lymphocyte-induced cell death
Colorectal cancer (CRC) is one of the leading causes of cancer-related mortality worldwide with 5-FU still the primary chemotherapeutic of choice. With the increasing use of immunotherapies, much rese...
Construction and application of a predictive model for optimal peripherally inserted central catheter (PICC) insertion depth in preterm infants under high-frequency ultrasound guidance based on clinical parameters
Objective This study aims to construct and validate a predictive formula based on routine clinical parameters for determining the optimal catheter placement depth (OCPD) in preterm infants undergoing...
Analysis of transportation patterns through call detail records (CDRs)
Public transportation is essential for smart city development, especially in rapidly growing urban areas. In Riyadh, Saudi Arabia, the implementation of the metro system is expected to significantly i...
Multi-model machine learning for automated identification of rice diseases using leaf image data
Rice, a staple meal for about half of the world’s population, is critical to global food security, especially in Asia. However, diseases have a severe impact on rice production, resulting in significa...
Quasi-experimental controlled study protocol to reduce sedentary lifestyle in patients with type 2 diabetes
Introduction The prevalence of diabetes has increased worldwide, making it the most prevalent metabolic disorder. Physical inactivity contributes to the progression of this disease and aggravates othe...
Meeting the mental health needs of women in Irish prisons: A qualitative multi-stakeholder perspective to inform healthcare practice
The rate of female incarceration to prison has grown by approximately 60% since the year 2000. Mental ill-health is over-represented in the female carceral population and the experiences of women in t...
Purinergic P2X receptor 7 (P2X7R) inhibition induced cytotoxicity in glioblastoma
Glioblastoma is the most common and aggressive form of primary brain cancer with a median survival of 15 months from diagnosis. The purinergic receptor P2X7 (P2X7R) is a regulator of several cell sign...
Psychometric evaluation of the Spanish version of the therapeutic communication scale in nursing students
Background Therapeutic communication is a core component of person-centered nursing care. Despite its clinical relevance, few validated instruments exist in Spanish that objectively assess this compet...
Isolation, characterization, and pathogenicity of a Vibrio parahaemolyticus strain causing translucent post-larvae disease in Penaeus vannamei outside China
Translucent post-larvae disease (TPD) has emerged as a severe threat to shrimp aquaculture, causing substantial economic losses. The causative agent, Vibrio parahaemolyticus, has been primarily identi...
The effect of thoracolumbosacral orthosis on scoliosis progression and chest deformity in children with type 1 spinal muscular atrophy: A randomized controlled trial
Background Type 1 spinal muscular atrophy (SMA) is an autosomal recessive neuromuscular disease characterized by severe muscle weakness, which results in progressive spinal and chest deformities. This...
Automated detection and prediction of suicidal behavior from clinical notes using deep learning
Background Deep learning approaches have tremendous potential to improve the predictive power of traditional suicide prediction models to detect and predict intentional self-harm (ISH). Existing resea...
Design optimization of high-sensitivity PCF-SPR biosensor using machine learning and explainable AI
Photonic crystal fiber based surface plasmon resonance (PCF-SPR) biosensors are sophisticated optical sensing platforms that enable precise detection of minute refractive index (RI) variations for var...
Comparing descriptive and theoretical models of decision-making under uncertainty and their relation to socioeconomic factors
This study examines the selection and validation of measurement models for decision-making under uncertainty, with particular emphasis on the integration of socioeconomic contexts in these models. We...
KYLO-0603, a novel liver-targeting, thyroid hormone receptor-β agonist for the inhibition of MASH progression
Metabolic dysfunction–associated steatohepatitis (MASH) is a progressive liver disease associated with liver-related complications and death. Kylo-0603 is a novel agonist for the thyroid hormone recep...
Study on the skid resistance performance of wet and slippery asphalt pavement on curved roads in aeolian sand areas
In order to study the change law of the anti sliding performance of desert highway in the wet and slippery state of the curve, two different curves and straight roads of the same highway were selected...
Water injustice in Colombia: Perceptions and realities of water quality examined through advanced machine learning
Access to safe drinking water is essential for public health. In Colombia, Resolution 2115 of 2007 mandates the use of the Water Quality Risk Index for Human Consumption (IRCA) to classify risk levels...
Enhancing epidemic forecasting with a physics-informed spatial identity neural network
Forecasting the future number of confirmed cases in each region is a critical challenge in controlling the spread of infectious diseases. Accurate predictions enable the proactive development of optim...
Insect-habitat-plant interaction networks provide guidelines to mitigate the risk of transmission of Xylella fastidiosa to grapevine in Southern France
Xylella fastidiosa ( Xf ) is a xylem-limited bacterium that has been recorded in several European countries since its detection in 2013 in A...
The comprehensive researcher development framework (CRDF): Core learning outcomes for research training
Becoming a researcher involves the iterative development of deep disciplinary knowledge, specific technical skills, and psychosocial attitudes, behaviors, and beliefs. Consequently, training researche...
ACE1 does not influence cerebral Aβ degradation or amyloid plaque accumulation in 5XFAD mice
Alzheimer’s disease is the most common form of dementia, and multiple lines of evidence support the relevance of Aβ deposition and amyloid plaque accumulation in the neurotoxicity and cognitive declin...
Enhancing security in instant messaging systems with a hybrid SM2, SM3, and SM4 encryption framework
With the rapid integration of instant messaging systems (IMS) into critical domains such as finance, public services, and enterprise operations, ensuring the confidentiality, integrity, and availabili...