Hua Wang
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View article: Emergency Plugging and Killing of Blowout Preventer Failure
Emergency Plugging and Killing of Blowout Preventer Failure Open
The blowout preventer (BOP) is the most important and the last line of safety defense in drilling engineering. Once a blowout occurs and the BOP fails, engineers will lose control of the entire wellbore pressure, and combustible fluids in …
View article: CONECT: Novel Weighted Networks Framework Leveraging Angle-Relation Connection (ARC) and Metaheuristic Algorithms for EEG-Based Dementia Classification
CONECT: Novel Weighted Networks Framework Leveraging Angle-Relation Connection (ARC) and Metaheuristic Algorithms for EEG-Based Dementia Classification Open
Accurate and robust classification of dementia subtypes using non-invasive electroencephalography (EEG) signals remains a critical challenge for clinicians and researchers in the field of neuroscience. Traditional methods often rely on lim…
View article: AKIEF: Adaptive Knowledge Inheritance Evolutionary Framework for Dynamic Privacy-Preserving Data Publishing
AKIEF: Adaptive Knowledge Inheritance Evolutionary Framework for Dynamic Privacy-Preserving Data Publishing Open
Privacy-Preserving Data Publishing (PPDP) faces significant challenges in dynamic scenarios where evolving datasets require continuous anonymization while maintaining data utility and resisting temporal attacks. This paper introduces an Ad…
View article: Green Fund Shareholding and Corporate Carbon Performance: An Empirical Analysis Based on Chinese A-Share Listed Companies
Green Fund Shareholding and Corporate Carbon Performance: An Empirical Analysis Based on Chinese A-Share Listed Companies Open
Against the global low-carbon transition, China, as one of the world’s major carbon emitters, relies on green finance to drive corporate carbon reduction. However, existing research has paid limited attention to green funds, an important c…
View article: A novel channel reduction concept to enhance the classification of motor imagery tasks in brain-computer interface systems
A novel channel reduction concept to enhance the classification of motor imagery tasks in brain-computer interface systems Open
Electroencephalogram (EEG) signals play a critical role in advancing brain-computer interface (BCI) systems, particularly for detecting motor imagery (MI) movements. However, analysing large volume of EEG datasets faces some challenges due…
View article: An intra- and inter-class context and consistency network for supervised and semi-supervised blastocyst segmentation
An intra- and inter-class context and consistency network for supervised and semi-supervised blastocyst segmentation Open
The implantation potential of an embryo is intricately linked to the quality of its blastocyst. Consequently, achieving an objective and precise identification of blastocyst morphology is imperative. The purpose of this study is to focus o…
View article: Parental attachment and problematic smartphone use in adolescents: the chain-mediated role
Parental attachment and problematic smartphone use in adolescents: the chain-mediated role Open
Aim This study explores how parental attachment influence adolescents’ problematic smartphone use (PSU), examining the chain mediating roles of peer attachment and online need satisfaction in this relationship. Methods A chain mediation an…
View article: Genome-Wide Association Studies of Key Traits in Apis cerana cerana (Hymenoptera: Apidae) from Guizhou Province
Genome-Wide Association Studies of Key Traits in Apis cerana cerana (Hymenoptera: Apidae) from Guizhou Province Open
Background/Objectives: This study aimed to identify genes linked to phenotypic traits in Apis cerana cerana through a genome-wide association study. Methods: Genomic data was collected from 116 workers across 12 regions in Guizhou Province…
View article: Embryonic Atrial Injury Programs a Distinct Substrate for Atrial Fibrillation Characterized by an Anti-Fibrotic Signature
Embryonic Atrial Injury Programs a Distinct Substrate for Atrial Fibrillation Characterized by an Anti-Fibrotic Signature Open
Atrial myopathy is associated with atrial fibrillation in adults, yet the role of embryonic atrial injury in predisposing individuals to atrial fibrillation remains unclear. Using an inducible, cardiomyocyte-specific diphtheria toxin A-med…
View article: BTFormer: Blast transformer for human blastocyst components segmentation
BTFormer: Blast transformer for human blastocyst components segmentation Open
Assessing embryo quality through segmentation of blastocyst components is crucial, as embryo morphology directly correlates with its potential for implantation. However, automatic blastocyst segmentation remains a challenging task due to f…
View article: TaxonomyNet: A Consistent and Efficient Model for Taxonomic Rank Identification in Wildlife Images
TaxonomyNet: A Consistent and Efficient Model for Taxonomic Rank Identification in Wildlife Images Open
Accurate and scalable taxonomic classification is essential for biodiversity research, supporting systematic species identification across multiple hierarchical ranks. However, current image-based classification methods often fail to enfor…
View article: ABG-NAS: Adaptive bayesian genetic neural architecture search for graph representation learning
ABG-NAS: Adaptive bayesian genetic neural architecture search for graph representation learning Open
View article: InSAR-Informed 3D Glacier Dynamics and Multi-Phase Simulation for Quantifying Cascading GLOF Risks in the Southeastern Tibetan Plateau
InSAR-Informed 3D Glacier Dynamics and Multi-Phase Simulation for Quantifying Cascading GLOF Risks in the Southeastern Tibetan Plateau Open
Glacial Lake Outburst Floods (GLOFs) are intensifying under accelerating climate change, posing severe threats to high-mountain communities and downstream infrastructure. However, current approaches often lack early-stage hazard detection …
View article: YOLO-FCE: A feature and clustering enhanced object detection model for species classification
YOLO-FCE: A feature and clustering enhanced object detection model for species classification Open
View article: URPO: A Unified Reward & Policy Optimization Framework for Large Language Models
URPO: A Unified Reward & Policy Optimization Framework for Large Language Models Open
Large-scale alignment pipelines typically pair a policy model with a separately trained reward model whose parameters remain frozen during reinforcement learning (RL). This separation creates a complex, resource-intensive pipeline and suff…
View article: Assessing the Impact of COVID-19 on Early Learning Services: A Study Based on Attendance Rate in New Zealand
Assessing the Impact of COVID-19 on Early Learning Services: A Study Based on Attendance Rate in New Zealand Open
This study examines the relationship between COVID-19 incidence, vaccination rates, and attendance patterns among ethnically diverse children in New Zealand, addressing a gap in previous research by focusing on ethnic-specific impacts. Usi…
View article: Metabolomics and Transcriptomics Reveal Age-Dependent Development of Meat Quality Traits in Jingyuan Chicken
Metabolomics and Transcriptomics Reveal Age-Dependent Development of Meat Quality Traits in Jingyuan Chicken Open
In this study, we investigated the dynamic changes in muscle lipid content (MLC) deposition in the breast muscle of Jingyuan chickens at different stages (42-, 126-, and 180- days old) using metabolomics. The pH45min, a*, and L* were signi…
View article: Adaptive-parameter memetic algorithm for privacy-preserving trajectory data publishing: A multi-objective optimization approach
Adaptive-parameter memetic algorithm for privacy-preserving trajectory data publishing: A multi-objective optimization approach Open
Trajectory data has grown pervasive, benefiting practical applications, including transportation administration and location-based operations. Nevertheless, trajectories may reveal extremely sensitive information about an individual, inclu…
View article: Optimizing IoT Intrusion Detection—A Graph Neural Network Approach with Attribute-Based Graph Construction
Optimizing IoT Intrusion Detection—A Graph Neural Network Approach with Attribute-Based Graph Construction Open
The inherent complexity and heterogeneity of the Internet of Things (IoT) ecosystem present significant challenges for developing effective intrusion detection systems. While graph deep-learning-based methods have shown promise in cybersec…
View article: Green Technology Innovation and Corporate Carbon Performance: Evidence from China
Green Technology Innovation and Corporate Carbon Performance: Evidence from China Open
Against global carbon neutrality goals and China’s “dual carbon” strategy, this study examines how green technology innovation shapes corporate carbon performance through a dual-path mechanism—improving enterprises’ resource utilization ef…
View article: Foundation models and intelligent decision-making: Progress, challenges, and perspectives
Foundation models and intelligent decision-making: Progress, challenges, and perspectives Open
View article: Comparison of the effectiveness and pregnancy outcomes of the “incise and suture” versus “fold and suture” methods in hysteroscopic‐assisted laparoscopic treatment of previous cesarean scar defect: A retrospective cohort study
Comparison of the effectiveness and pregnancy outcomes of the “incise and suture” versus “fold and suture” methods in hysteroscopic‐assisted laparoscopic treatment of previous cesarean scar defect: A retrospective cohort study Open
Objective To investigate the clinical efficacy of the hysteroscopic‐assisted laparoscopic incised‐suture versus folded‐suture methods at the cesarean incision site for the treatment of previous cesarean scar defects (PCSD) and to evaluate …
View article: Disparities in School Attendance During COVID-19: The Impact of Pandemic Factors on Ethnic and M¯ aori Groups in New Zealand
Disparities in School Attendance During COVID-19: The Impact of Pandemic Factors on Ethnic and M¯ aori Groups in New Zealand Open
The COVID-19 pandemic has significantly impacted the education sector, necessitating a thorough examination of its effects on school attendance. This study investigates the impacts of COVID-19 cases and vaccinations on school attendance ra…
View article: Blockchain smart contracts for decentralized matching of counterparties and automatic settlement of financial derivatives
Blockchain smart contracts for decentralized matching of counterparties and automatic settlement of financial derivatives Open
View article: Investigating Brain Lobe Biomarkers to Enhance Dementia Detection Using EEG Data
Investigating Brain Lobe Biomarkers to Enhance Dementia Detection Using EEG Data Open
Dementia is a growing global health concern that significantly impacts the quality of life for millions of individuals and imposes substantial burdens on healthcare systems. Early detection and accurate diagnosis are crucial for effective …
View article: Non-epithelial Circulating Tumor Cells Enhance Disease Progression in High-risk Prostate Cancer through EMT and COL1A1 Expression
Non-epithelial Circulating Tumor Cells Enhance Disease Progression in High-risk Prostate Cancer through EMT and COL1A1 Expression Open
Introduction: Circulating tumor cells (CTCs) are important prognostic indicators for malignancies. However, a reliable positive/negative cutoff value of non-epithelial (NE+: hybrid and mesenchymal) CTCs phenotype in prost…
View article: Remote sensing image interpretation of geological lithology via a sensitive feature self-aggregation deep fusion network
Remote sensing image interpretation of geological lithology via a sensitive feature self-aggregation deep fusion network Open
Geological lithological interpretation is a key focus in Earth observation research, with applications in resource surveys, geological mapping, and environmental monitoring. Although deep learning (DL) methods has significantly improved th…
View article: Mapping the digital transformation of AEC industry: Content analysis of digital public policy in China
Mapping the digital transformation of AEC industry: Content analysis of digital public policy in China Open
Governments arounds the world are relying on digital policies as a strategic tool to promote digital transformation objectives within the society. This study aims to investigate the evolutionary patterns and trends of China's digital publi…
View article: Virtual Machine Placement in Edge Computing Based on Multi-Objective Reinforcement Learning
Virtual Machine Placement in Edge Computing Based on Multi-Objective Reinforcement Learning Open
With the popularization of internet of things (IoT), the energy consumption of mobile edge computing (MEC) servers is also on the rise. Some important IoT applications, such as autonomous driving, smart manufacturing, and smart wearables, …
View article: Retraction Note: A prospective diagnostic model for breast cancer utilizing machine learning to examine the molecular immune infiltrate in HSPB6
Retraction Note: A prospective diagnostic model for breast cancer utilizing machine learning to examine the molecular immune infiltrate in HSPB6 Open