PLoS ONE
Articles in this Issue
EFEN-YOLOv8: Surface defect detection network based on spatial feature capture and multi-level weighted attention
Surface defects in industrial environments severely the impact product aesthetics, quality, and operational efficiency. Although deep learning approaches show promise, current architectures often demo...
Reinstating motivational states: Electrical signatures of craving and neural mind reading
The aim of this electroencephalogram (EEG) study was to identify electrical neuro-markers of 12 different motivational and physiological states such as visceral craves, affective and somatosensory sta...
Dialogism in publicity discourses of Anglo-American and Chinese universities: A comparative analysis based on Engagement System
Dialogism serves as a critical characteristic of university publicity discourse, encapsulating the origins of ideas and the communicative intentions inherent in such discourse. While both Chinese and...
Research on the evolutionary game and simulation of multiple subjects’ behavior in the reconstruction of old urban residential communities
The successful execution of the reconstruction of old urban residential communities, a significant project that affects people’s livelihoods, depends on the cooperative efforts of several subjects. Ho...
Dentoskeletal changes and anteroposterior improvements in skeletal class III malocclusion treated with MEAW: A retrospective study
Background Skeletal Class III malocclusion is a severe dentofacial deformity that often requires surgical correction, but the associated risks have increased interest in non-surgic...
A predictive model of joint dynamics and ground reaction force using only leg length, body mass, and walking cadence
Reconstructing premorbid gait patterns is critical for developing personalized rehabilitation strategies and assistive devices for patients with movement disorders. To achieve this aim, a predictive m...
Correction: An improved GC-MS-SIM analytical method for determination of pendimethalin residue in commercial crops (leaf and soils) and its validation
FKG-MM: A multi-modal fuzzy knowledge graph with data integration in healthcare
Artificial Intelligence (AI) has been dramatically applied to healthcare in various tasks to support clinicians in disease diagnosis and prognosis. It has been known that accurate diagnosis must be dr...
Exploring parent-child relationships in families with advanced age parents: An interview study with adult offspring of ‘older’ parents in Switzerland
In many societies, people are becoming parents at an older age. Although there is research on medical implications of advanced parental age (APA), little is known about the parent-child relationships...
Research on the evolution mechanism of main control factors for coalbed methane extraction
To study the isothermal adsorption and desorption diffusion processes of anthracite, isothermal adsorption and desorption experiments of coal powder were conducted, and numerical simulations were carr...
Variation in exposure in neighborhoods of Dhaka, Bangladesh across different environmental pathways: The influence of human behavior on fecal exposure in urban environments
Background Poor sanitation and fecal sludge management contribute to fecal contamination in Dhaka’s urban environment. An exposure assessment through ten env...
A non-invasive urinary diagnostic signature for diabetic kidney disease revealed by machine learning and single-cell analysis
Background Diabetic kidney disease (DKD) poses a significant health burden with inadequate diagnostic sensitivity. This study develops non-invasive biomarkers by integrating urinar...
Software for dataset-wide XAI: From local explanations to global insights with Zennit, CoRelAy, and ViRelAy
The predictive capabilities of Deep Neural Networks (DNNs) are well-established, yet the underlying mechanisms driving these predictions often remain opaque. The advent of Explainable Artificial Intel...
Benchmarking machine learning for bowel sound pattern classification – From tabular features to pretrained models
The development of electronic stethoscopes and wearable recording sensors opened the door to the automated analysis of bowel sound (BS) signals. This enables a data-driven analysis of bowel sound patt...
A simulation study of the cost of cerebral vasospasm treatments with clazosentan: A mathematical model using time-driven activity-based costing
In this work, we aimed to assess the impact of clazosentan on clinical labour time costs within Japan’s value-based healthcare system using time-driven activity-based costing. Time-driven activity-bas...
Variability of a predator-prey interaction in the plankton: Encounters and feeding rates of the chaetognath Flaccisagitta enflata upon copepods
This study examined the predator-prey interaction between Flaccisagitta enflata , a dominant chaetognath species, and copepods in the southwestern Gulf of Mexic...
Mathematical modeling of glucose regulation and sleep resting heart rate to predict risk of metabolic dysregulation in cancer survivors
Sleep-related alterations in glucose metabolism and autonomic regulation play a critical role in the early development of type 2 diabetes mellitus (T2DM), especially among cancer survivors. Motivated...
Spatial differentiation in public perception of peak summer heat based on microblog big data
The health problems caused by heat waves have attracted widespread global attention. High temperature is characterized by human perception before triggering discomfort. Understanding the public percep...
Attitude, self-efficacy, and perceived risk toward seasonal influenza vaccination among primary care physicians in Qatar: A cross-sectional study
Primary care physicians (PCPs) play a critical role in influencing vaccination decisions, both for their patients and for themselves. However, the success of vaccination programs often depends on the...
Experiences and needs of patients facing incurable cancer and their relatives with informal care in psychosocial supporting centres in the Netherlands: A qualitative study
Purpose People facing incurable cancer need appropriate informal psychosocial care. This study examines the experiences and needs of visitors of IPSO centers (psychosocial supporti...
From data to decisions: Predicting inpatient burn mortality with advanced classification models
Introduction Burn injuries are a major global health challenge. Predicting mortality in burn patients using data mining can enhance therapeutic decision-making, but the long-term r...
Collaborative optimization of computational offloading and resource allocation based on Stackelberg game
The exponential growth of the Internet of Things and mobile edge computing has intensified the need for substantial data processing and instantaneous response. Consequently, collaboration between the...
The association between parent-child communication and adolescents’ non-cognitive abilities: An examination of the chain mediating effect
This study aims to explore the interplay between parent-child communication, social support, physical exercise and non-cognitive abilities among adolescents. Using data from the China Education Panel...
Predictive effects of diabetes-related risk factors for falls in community-dwelling people with diabetic peripheral neuropathy based on a logistic regression model
Background This study aimed to identify the predictive effects of different aspects of diabetic peripheral neuropathy (DPN) and other already known risk factors for falls through a...
Land security and crop theft in rural Tanzania
Is the risk of agricultural crime victimization linked to land titling and different land tenure modes? Drawing on a unique household survey from rural Tanzania, we find that farmers cultivating indiv...