PLoS ONE
Articles in this Issue
Overlapping point cloud registration algorithm based on KNN and the channel attention mechanism
With the advancement of sensor technologies such as LiDAR and depth cameras, the significance of three-dimensional point cloud data in autonomous driving and environment sensing continues to increase....
MSD: Multi-stage deception for data privacy protection
With the exponential growth of electronically transmitted and stored data, ensuring data privacy and security has become a fundamental challenge for organizations and enterprises. Traditional encrypti...
A hybrid PSO-FFNN approach for optimized seismic design and accurate structural response prediction in steel moment-resisting frames
The first steel is the most prevalent material used in building. Steel’s intrinsic hardness and durability make it appropriate for different uses, but its greater adaptability makes it ideal for seism...
KDTMD: Knowledge distillation for transportation mode detection based on KAN
With the progress in sensor technology and the spread of mobile devices, transportation mode detection (TMD) is gaining importance for health and urban traffic improvements. As mobile devices become m...
Molecular insights into the role of Estrogen Receptor Beta in Ecdysterone Mediated Anabolic Activity
Ecdysterone, often dubbed a “natural steroid,” has garnered significant attention among athletes for its reputed growth-promoting and anabolic properties. Unlike synthetic anabolic steroids, which are...
Risk factors for perioperative nerve injury associated with total knee arthroplasty: Analysis of a national administrative database
Introduction Nerve injury related to total knee arthroplasty (TKA) is a rare but serious complication. Previous studies identifying risk factors for nerve injury related to TKA have been constrained b...
Intelligent and precise auxiliary diagnosis of breast tumors using deep learning and radiomics
Background Breast cancer is the most common malignant tumor among women worldwide, and early diagnosis is crucial for reducing mortality rates. Traditional diagnostic methods have significant limitati...
Mathematical modelling of inflammatory process and obesity in osteoarthritis
Osteoarthritis (OA) is prevalent in obese people due to the inflamed adipose tissue surrounding the joints. The increase in obesity level upregulates adipokines enhancing inflammation. Whilst a few ma...
PCB-YOLO: Enhancing PCB surface defect detection with coordinate attention and multi-scale feature fusion
Nowadays, industrial electronic products are integrated into all aspects of life, with PCB quality playing a decisive role in their performance. Ensuring PCB factory quality is thus crucial. Common PC...
The effects of low-load resistance training combined with blood flow restriction on knee rehabilitation in middle-aged and elderly patients: A systematic review and meta-analysis
This meta-analysis evaluates the effectiveness of low-load resistance training combined with blood flow restriction in knee rehabilitation. Methods: Randomized controlled trials investigating the effe...
Multiuser wireless network enhancement via an innovative rime optimization search strategy
This paper introduces an Improved Rime Optimization Algorithm (IROA) designed to maximize achievable rates in multiuser wireless communication networks equipped with Reconfigurable intelligent surface...
Student perceptions of COVID-19 challenges affecting student motivation, well-being, and success in undergraduate education
Our objectives in this study were to understand the impact of COVID-19 disruptions on the academic and personal experiences of undergraduate students at a state land-grant institution in the Western U...
Correlation analysis of mitochondrial DNA maintenance-related genes with HCC prognosis, tumor mutation burden and tumor microenvironment features
Background Mitochondrial DNA (mtDNA) is an important genetic material in eukaryotic cells. Mitochondrial DNA maintenance-related gene (mtDNA MRG) variants contribute to mitochondrial dysfunction in ca...
Enhanced separation of long-term memory from short-term memory on top of LSTM: Neural network-based stock index forecasting
LSTM (Long Short-Term Memory Network) is currently extensively utilized for forecasting financial time series, primarily due to its distinct advantages in separating the long-term from the short-term...
Initial development of the Stress Monitoring and Response Tool (SMART): A holistic measure of stress following trauma
In the immediate aftermath of trauma exposure, individuals may experience an acute stress reaction (ASR). ASRs may be transient but for individuals operating in high-stakes occupations, these reaction...
An enhanced adaptive dynamic metaheuristic optimization algorithm for rainfall prediction depends on long short-term memory
Sorting and analyzing different types of rainfall according to their intensity, duration, distribution, and associated meteorological circumstances is the process of rainfall prediction. Understanding...
Decline of salt marsh-nesting birds within the lower Chesapeake Bay (1992–2021)
Bird species that depend on tidal marshes throughout the world are threatened by ongoing sea-level rise. How species that differ in their level of marsh-dependency may respond to change over time rema...
An attribute-enhanced relationship-aware neighborhood matching model with dual attention
The entity alignment task aims to match semantically corresponding entities in different knowledge graphs, which is important for knowledge fusion. Traditional graph-based methods often lose informati...
Patient satisfaction in regional referral hospitals of Bhutan: Insights from a cross-sectional study
Background Patient satisfaction is crucial for evaluating healthcare quality and guiding continuous quality improvement. Globally, patient satisfaction has been extensively studied; however, there is...
Influence of shot peening on the microstructure and friction-wear performance of CF53 steel
In order to further enhance the wear resistance of the camshaft surface, this study conducted shot peening reinforcement on CF53 steel. The research involves the analysis of microstructure, microhardn...
Wavelet analysis text classification algorithm based on typical features of data samples
Currently, traditional text feature extraction methods fail to fully capture category-specific features when handling text data with existing category labels, thereby limiting classification performan...
Changes in HIV incidence during the COVID-19 pandemic (2020–22) compared with the pre-pandemic period (2015–19) in Peru: An observational study
Introduction During the COVID-19 pandemic, non-pharmaceutical interventions affected the screening of sexually transmitted infections. We investigated the incidence of HIV infection during the COVID-1...
A study protocol for neonatal sepsis and gut microbiomics among preterm infants admitted at Muhimbili National Hospital, Tanzania
Background Neonatal mortality remains high in many low- and middle-income countries (LMICs), with neonatal sepsis and antimicrobial resistance (AMR) posing significant threats to newborns, particularl...
RETRACTED: Consumption quota compilation based on BP artificial neural network algorithm in mechanical and electrical installation engineering of prefabricated buildings
The traditional quota compilation method has a large workload and requires a lot of manpower and material resources, making it difficult to apply to the consumption quota compilation in mechanical and...
Impact of arc quenching parameters on surface hardness and microstructure of S45C steel with concave surfaces
This study investigates the effects of arc length, current intensity, travel speed, gas flow rate, and pulse time on surface hardness to better understand the arc quenching of S45C steel with a curved...