PLoS ONE
Articles in this Issue
STAGE framework: A stock dynamic anomaly detection and trend prediction model based on graph attention network and sparse spatiotemporal convolutional network
As the financial market becomes increasingly complex, stock prediction and anomaly data detection have emerged as crucial tasks in financial risk management. However, existing methods exhibit signific...
Retraction: An improved beluga whale optimizer—Derived Adaptive multi-channel DeepLabv3+ for semantic segmentation of aerial images
Correction: Laboratory risk assessment of Beauveria bassiana AAD16 on two species of ladybird beetle
Correction: The impact of digital economy on the upgrading of manufacturing structure
LDMP-RENet: Reducing intra-class differences for metal surface defect few-shot semantic segmentation
Given their fast generalization capability for unseen classes and segmentation ability at pixel scale, models based on few-shot segmentation perform well in solving data insufficiency problems during me...
A malware classification method based on directed API call relationships
In response to the growing complexity of network threats, researchers are increasingly turning to machine learning and deep learning techniques to develop advanced models for malware detection. Many e...
An efficient detection of Sinkhole attacks using machine learning: Impact on energy and security
In the realm of Wireless Sensor Networks (WSNs), the detection and mitigation of sinkhole attacks remain pivotal for ensuring network integrity and efficiency. This paper introduces SFlexCrypt, an inn...
How animal ethics committees make decisions – a scoping review of empirical studies
Objectives The aim of the scoping review is to explore the decision-making process for the evaluation of animal research proposals within Animal Ethics Committees (AEC) and Institutional Animal Care a...
TS-SSA: An improved two-stage sparrow search algorithm for large-scale many-objective optimization problems
Large-scale many-objective optimization problems (LSMaOPs) are a current research hotspot. However, since LSMaOPs involves a large number of variables and objectives, state-of-the-art methods face a h...
Performance measurement and evaluation of health practitioner regulation: A scoping review protocol
Health practitioner regulation plays a fundamental role in public protection by overseeing and governing healthcare professionals to ensure they deliver safe health services. It also serves as a strat...
A dynamic and adaptive class-balanced data augmentation approach for 3D LiDAR point clouds
3D LiDAR point clouds, obtained through scanning by LiDAR devices, contain rich information such as 3D coordinates (X, Y, Z), color, classification values, intensity values, and time. However, the ori...
Application of a dynamic optimization-based multi-attribute fusion method for fault detection
The focus of oil and gas exploration in the Tarim Basin has shifted from interlayers to fracture-controlled karsts. A significant oilfield characterized by strike-slip faults was discovered in the Yue...
Correction: Impact of corporate social responsibility on employee loyalty: Mediating role of person-organization fit and employee trust
Technostress and its associated factors: Burnout and fatigue among Malaysian healthcare workers (HCWs) in state hospitals
Background Technostress is defined as a psychological state associated with the increased usage of advanced computer technologies on a daily basis. It is also defined as an anxiety feeling or mental s...
Correction: Self-reported impact of the COVID-19 pandemic, affective responding, and subjective well-being: A Swedish survey
Menstrual cycle effects on cognitive performance: A meta-analysis
Does a woman’s cognitive performance change throughout her menstrual cycle? Menstruation continues to be a taboo topic, subject to myths about how it affects women. Despite the considerable number of...
Prevalence and associated factors of overweight and obesity among Afghan school children: A cross-sectional analytical study from Kandahar City, Afghanistan
Background Childhood overweight and obesity is an emerging public health problem in developing countries. This is the first school-based study of its type from Afghanistan to estimate the prevalence a...
In silico identification of novel ligands targeting stress-related human FKBP5 protein in mental disorders
FK506-binding protein 51 (FKBP51 or FKBP5) serves as a crucial stress modulator implicated in mental disorders, presenting a potential target for intervention. Inhibitors like SAFit2, rapamycin, and t...
Targeting prostate cancer by new bispecific monocyte engager directed to prostate-specific membrane antigen
Prostate cancer (PCa) ranks as the second leading cause of cancer-related deaths among men in the United States. Prostate-specific membrane antigen (PSMA) represents a well-established biomarker of PC...
Does education sculpt healthcare choices? Exploring factors influencing healthcare utilization among female youths in eight low and lower-middle-income countries
Introduction Emphasizing the global commitment to universal health coverage, this research addresses geographical variations and challenges faced by young females across low and lo...
A protocol of a randomized control trial to test the feasibility and efficacy of the EMPOWER social-emotional learning curriculum for youth aged 11–14 years in after-school settings
Introduction Promoting youth mental health and well-being is a global concern. Administering social-emotional learning programs in contexts that are familiar to youth have the potential to increase m...
Correction: A navigational risk evaluation of ferry transport: Continuous risk management matrix based on fuzzy Best-Worst Method
Design of S/C/X/Ku frequency band five notch broadband filter based on novel coupled signal path
This article present the design of a broadband filter structure spanning the S, C, X, and Ku uplink bands based on a novel coupling signal path generation. The core design features a centrally symmetr...
RRMSE-enhanced weighted voting regressor for improved ensemble regression
Ensemble regression methods are widely used to improve prediction accuracy by combining multiple regression models, especially when dealing with continuous numerical targets. However, most ensemble vo...
Optimization of load-bearing parameters for anisotropic nodes and prefabricated wall panels in prefabricated shear wall structures
As the global construction industry develops, prefabricated buildings are gradually emerging and widely used. However, the bearing capacity of anisotropic nodes and prefabricated wall panels in prefab...