Yiwen Zhong
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View article: SMYD5-BRD4 Interaction Drives Hepatocellular Carcinoma Progression: A Combined in Silico and Experimental Analysis
SMYD5-BRD4 Interaction Drives Hepatocellular Carcinoma Progression: A Combined in Silico and Experimental Analysis Open
Background/Objectives: Hepatocellular carcinoma (LIHC) poses significant challenges due to limited targeted therapeutic options. This study investigates SMYD5, an oncogene implicated in the pathogenesis of LIHC, and its interaction with th…
View article: A Heuristics-Guided Simplified Discrete Harmony Search Algorithm for Solving 0-1 Knapsack Problem
A Heuristics-Guided Simplified Discrete Harmony Search Algorithm for Solving 0-1 Knapsack Problem Open
The harmony search (HS) algorithm is a novel metaheuristic which has been widely used to solve both continuous and discrete optimization problems. In order to improve the performance and simplify the implementation of the HS algorithm for …
View article: HPANet: Hierarchical Path Aggregation Network with Pyramid Vision Transformers for Colorectal Polyp Segmentation
HPANet: Hierarchical Path Aggregation Network with Pyramid Vision Transformers for Colorectal Polyp Segmentation Open
The automatic segmentation technique for colorectal polyps in colonoscopy is considered critical for aiding physicians in real-time lesion identification and minimizing diagnostic errors such as false positives and missed lesions. Despite …
View article: Intermetallic Electrocatalysts for Small‐Molecule Fuel Oxidation
Intermetallic Electrocatalysts for Small‐Molecule Fuel Oxidation Open
Intermetallic compounds with well‐ordered crystal structures and precise stoichiometry are emerging as a transformative class of electrocatalysis. Existing reviews have primarily focused on intermetallic compounds for specific electrocatal…
View article: Neighbor Does Matter: Density-Aware Contrastive Learning for Medical Semi-supervised Segmentation
Neighbor Does Matter: Density-Aware Contrastive Learning for Medical Semi-supervised Segmentation Open
In medical image analysis, multi-organ semi-supervised segmentation faces challenges such as insufficient labels and low contrast in soft tissues. To address these issues, existing studies typically employ semi-supervised segmentation tech…
View article: PG-SAM: Prior-Guided SAM with Medical for Multi-organ Segmentation
PG-SAM: Prior-Guided SAM with Medical for Multi-organ Segmentation Open
Segment Anything Model (SAM) demonstrates powerful zero-shot capabilities; however, its accuracy and robustness significantly decrease when applied to medical image segmentation. Existing methods address this issue through modality fusion,…
View article: The Mechanism and Optimization Path of Policy Implementation Tracking Audit in the Promotion of Rural Revitalization Strategy
The Mechanism and Optimization Path of Policy Implementation Tracking Audit in the Promotion of Rural Revitalization Strategy Open
Rural revitalization is an important lever for solving the "three rural issues" in the new era. Policy implementation tracking and auditing continue to play a role in policy supervision and correction, optimizing resource allocation, preve…
View article: YOLO-ACE: Enhancing YOLO with Augmented Contextual Efficiency for Precision Cotton Weed Detection
YOLO-ACE: Enhancing YOLO with Augmented Contextual Efficiency for Precision Cotton Weed Detection Open
Effective weed management is essential for protecting crop yields in cotton production, yet conventional deep learning approaches often falter in detecting small or occluded weeds and can be restricted by large parameter counts. To tackle …
View article: Neighbor Does Matter: Density-Aware Contrastive Learning for Medical Semi-supervised Segmentation
Neighbor Does Matter: Density-Aware Contrastive Learning for Medical Semi-supervised Segmentation Open
In medical image analysis, multi-organ semi-supervised segmentation faces challenges such as insufficient labels and low contrast in soft tissues. To address these issues, existing studies typically employ semi-supervised segmentation tech…
View article: Efficient Optimized YOLOv8 Model with Extended Vision
Efficient Optimized YOLOv8 Model with Extended Vision Open
In the field of object detection, enhancing algorithm performance in complex scenarios represents a fundamental technological challenge. To address this issue, this paper presents an efficient optimized YOLOv8 model with extended vision (Y…
View article: Properties of AI-generated images that influence misinformation belief and correction efficacy
Properties of AI-generated images that influence misinformation belief and correction efficacy Open
The rapid development of artificial intelligence (AI) allows the creation of photorealistic images with simple text prompts. As a result, proliferation of AI-generated visual misinformation is an increasing concern. However, how AI-generat…
View article: An Adaptive Multi-Meme Memetic Algorithm for the Prize-Collecting Generalized Minimum Spanning Tree Problem
An Adaptive Multi-Meme Memetic Algorithm for the Prize-Collecting Generalized Minimum Spanning Tree Problem Open
View article: Visual Strain Intrinsic-Wearable Fiber Sensors with High Sensitivity and Excellent Cyclic Stability for Human Motion Monitoring and Thermal Management
Visual Strain Intrinsic-Wearable Fiber Sensors with High Sensitivity and Excellent Cyclic Stability for Human Motion Monitoring and Thermal Management Open
View article: Low-Latency Virtual Network Function Scheduling Algorithm Based on Deep Reinforcement Learning
Low-Latency Virtual Network Function Scheduling Algorithm Based on Deep Reinforcement Learning Open
View article: A Further Study on the Degree-Corrected Spectral Clustering under Spectral Graph Theory
A Further Study on the Degree-Corrected Spectral Clustering under Spectral Graph Theory Open
Spectral clustering algorithms are often used to find clusters in the community detection problem. Recently, a degree-corrected spectral clustering algorithm was proposed. However, it is only used for partitioning graphs which are generate…
View article: AWS-DAIE: Incremental Ensemble Short-Term Electricity Load Forecasting Based on Sample Domain Adaptation
AWS-DAIE: Incremental Ensemble Short-Term Electricity Load Forecasting Based on Sample Domain Adaptation Open
Short-term load forecasting is a prerequisite and basis for power system planning and operation and has received extensive attention from researchers. To address the problem of concept drift caused by changes in the distribution patterns o…
View article: Simultaneous Determination of Ten Bioactive Components from Shenling Baizhu San in Rat Plasma by UHPLC-MS/MS: Application to a Comparative Pharmacokinetic Study in Normal and Two Models of Ulcerative Colitis Rats
Simultaneous Determination of Ten Bioactive Components from Shenling Baizhu San in Rat Plasma by UHPLC-MS/MS: Application to a Comparative Pharmacokinetic Study in Normal and Two Models of Ulcerative Colitis Rats Open
Shenling Baizhu San, a traditional formula, has a long history of treating spleen asthenic diarrhea by invigorating the spleen and dispelling dampness in China. A rapid and accurate UHPLC-MS/MS method was developed and fully validated for …
View article: When and why do people act on flawed science? Effects of anecdotes and prior beliefs on evidence-based decision-making
When and why do people act on flawed science? Effects of anecdotes and prior beliefs on evidence-based decision-making Open
Today’s citizens are expected to use evidence, frequently presented in the media, to inform decisions about health, behavior, and public policy. However, science misinformation is ubiquitous in the media, making it difficult to apply resea…
View article: Enhanced List-Based Simulated Annealing Algorithm for Large-Scale Traveling Salesman Problem
Enhanced List-Based Simulated Annealing Algorithm for Large-Scale Traveling Salesman Problem Open
List-based simulated annealing (LBSA) algorithm is a novel simulated annealing algorithm where list-based cooling scheme is used to control the change of parameter temperature. Aiming to improve the efficiency of the LBSA algorithm for lar…
View article: An enhanced cuckoo search using dimension selection
An enhanced cuckoo search using dimension selection Open
This paper proposes an enhanced cuckoo search algorithm using dimension selection. In the proposed strategy, the dimensional distance measure is used to select a part of dimensions of each solution to search for the new solution in two sea…
View article: Discrete Bird Swarm Algorithm Based on Information Entropy Matrix for Traveling Salesman Problem
Discrete Bird Swarm Algorithm Based on Information Entropy Matrix for Traveling Salesman Problem Open
Although bird swarm optimization (BSA) algorithm shows excellent performance in solving continuous optimization problems, it is not an easy task to apply it solving the combination optimization problem such as traveling salesman problem (T…
View article: List-Based Simulated Annealing Algorithm With Hybrid Greedy Repair and Optimization Operator for 0–1 Knapsack Problem
List-Based Simulated Annealing Algorithm With Hybrid Greedy Repair and Optimization Operator for 0–1 Knapsack Problem Open
List-based simulated annealing (LBSA) algorithm, which uses list-based cooling scheme to control the change of parameter temperature, was first proposed for traveling salesman problem. This paper extends the application of LBSA algorithm f…
View article: A Research for Reduction the Pollution in the Pretreatmentprocess of PAEs Inhuman Serum
A Research for Reduction the Pollution in the Pretreatmentprocess of PAEs Inhuman Serum Open
Phthalate acid esters (PAEs) are wide spreading the environment.In order to reduce pollution in the process of human serum PAEs pretreatment, some experimental conditions had been investigated.Shortening the exposure time of the eluent and…
View article: Corrigendum to “Cuckoo Search Algorithm with Chaotic Maps”
Corrigendum to “Cuckoo Search Algorithm with Chaotic Maps” Open
View article: List-Based Simulated Annealing Algorithm for Traveling Salesman Problem
List-Based Simulated Annealing Algorithm for Traveling Salesman Problem Open
Simulated annealing (SA) algorithm is a popular intelligent optimization algorithm which has been successfully applied in many fields. Parameters’ setting is a key factor for its performance, but it is also a tedious work. To simplify para…
View article: A Hybrid Backtracking Search Optimization Algorithm with Differential Evolution
A Hybrid Backtracking Search Optimization Algorithm with Differential Evolution Open
The backtracking search optimization algorithm (BSA) is a new nature-inspired method which possesses a memory to take advantage of experiences gained from previous generation to guide the population to the global optimum. BSA is capable of…
View article: Cuckoo Search Algorithm with Chaotic Maps
Cuckoo Search Algorithm with Chaotic Maps Open
Cuckoo search algorithm is a novel nature-inspired optimization technique based on the obligate brood parasitic behavior of some cuckoo species. It iteratively employs Lévy flights random walk with a scaling factor and biased/selective ran…