Zhen Wang
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View article: Massive stars exploding in a He-rich circumstellar medium XII. SN 2024acyl: A fast, linearly declining Type Ibn supernova with early flash-ionisation features
Massive stars exploding in a He-rich circumstellar medium XII. SN 2024acyl: A fast, linearly declining Type Ibn supernova with early flash-ionisation features Open
We present a photometric and spectroscopic analysis of the Type Ibn supernova (SN) 2024acyl. It rises to an absolute magnitude peak of about -17.58 mag in 10.6 days, and displays a rapid linear post-peak light-curve decline in all bands, s…
View article: Interpretable deep learning for personalized energy expenditure prediction using ECG and acceleration signals in incremental exercise
Interpretable deep learning for personalized energy expenditure prediction using ECG and acceleration signals in incremental exercise Open
View article: Biaxially oriented polyethylene film preserves nutritional quality and extends the shelf life of postharvest peaches
Biaxially oriented polyethylene film preserves nutritional quality and extends the shelf life of postharvest peaches Open
Biaxially oriented polyethylene (BOPE) is a high-strength, lightweight polyethylene material with superior barrier properties. In this study, peaches were packaged using either polyethylene (PE) or BOPE film. The peaches packaged in BOPE f…
View article: Butyric acid and valeric acid attenuate stress-induced ferroptosis and depressive-like behaviors by suppressing hippocampal neuroinflammation
Butyric acid and valeric acid attenuate stress-induced ferroptosis and depressive-like behaviors by suppressing hippocampal neuroinflammation Open
View article: PERSCEN: Learning Personalized Interaction Pattern and Scenario Preference for Multi-Scenario Matching
PERSCEN: Learning Personalized Interaction Pattern and Scenario Preference for Multi-Scenario Matching Open
With the expansion of business scales and scopes on online platforms, multi-scenario matching has become a mainstream solution to reduce maintenance costs and alleviate data sparsity. The key to effective multi-scenario recommendation lies…
View article: Regret Minimization in Population Network Games: Vanishing Heterogeneity and Convergence to Equilibria
Regret Minimization in Population Network Games: Vanishing Heterogeneity and Convergence to Equilibria Open
Understanding and predicting the behavior of large-scale multi-agents in games remains a fundamental challenge in multi-agent systems. This paper examines the role of heterogeneity in equilibrium formation by analyzing how smooth regret-ma…
View article: A Novel Back Propagation Neural Network Based on the Harris Hawks Optimization Algorithm for the Remaining Useful Life Prediction of Lithium-Ion Batteries
A Novel Back Propagation Neural Network Based on the Harris Hawks Optimization Algorithm for the Remaining Useful Life Prediction of Lithium-Ion Batteries Open
Remaining useful life (RUL) serves as a pivotal metric for quantifying lithium-ion batteries’ state of health (SOH) in electric vehicles and plays a crucial role in ensuring their safety and reliability. In order to achieve accurate and re…
View article: Recognition of common shortwave protocols and their subcarrier modulations based on multi-scale convolutional GRU
Recognition of common shortwave protocols and their subcarrier modulations based on multi-scale convolutional GRU Open
Shortwave communication plays a vital role in disaster relief and remote communications due to its long-range capabilities and resilience to interference. However, challenges such as multipath propagation, frequency-selective fading, and l…
View article: Mitigating Learning Burnout Caused by Generative Artificial Intelligence Misuse in Higher Education: A Case Study in Programming Language Teaching
Mitigating Learning Burnout Caused by Generative Artificial Intelligence Misuse in Higher Education: A Case Study in Programming Language Teaching Open
The advent of generative artificial intelligence (GenAI) has significantly transformed the educational landscape. While GenAI offers benefits such as convenient access to learning resources, it also introduces potential risks. This study e…
View article: Fluid–structure interaction analysis of pulsatile flow in arterial aneurysms with physics-informed neural networks and computational fluid dynamics
Fluid–structure interaction analysis of pulsatile flow in arterial aneurysms with physics-informed neural networks and computational fluid dynamics Open
Marfan syndrome (MS) is a genetic disorder often associated with the development of aortic aneurysms, leading to severe vascular complications. The progression of this condition is intricately linked to hemodynamic factors such as wall she…
View article: The Gut Microbiota Metabolite Butyrate Modulates Acute Stress-Induced Ferroptosis in the Prefrontal Cortex via the Gut–Brain Axis
The Gut Microbiota Metabolite Butyrate Modulates Acute Stress-Induced Ferroptosis in the Prefrontal Cortex via the Gut–Brain Axis Open
Stress has been implicated in the onset of mental disorders such as depression, with the prefrontal cortex (PFC) playing a crucial role. However, the underlying mechanisms remain to be fully elucidated. Metabolites secreted by intestinal f…
View article: Beyond Scaling: Measuring and Predicting the Upper Bound of Knowledge Retention in Language Model Pre-Training
Beyond Scaling: Measuring and Predicting the Upper Bound of Knowledge Retention in Language Model Pre-Training Open
The GPT-4 technical report suggests that downstream performance can be predicted from pre-training signals, but offers little methodological detail on how to quantify this. This work address this gap by modeling knowledge retention, the ca…
View article: HUMAN MICROBIOTA FROM DRUG-NAIVE PATIENTS WITH OBSESSIVE- COMPULSIVE DISORDER DRIVES BEHAVIORAL SYMPTOMS AND NEUROINFLAMMATION VIA SUCCINIC ACID IN MICE
HUMAN MICROBIOTA FROM DRUG-NAIVE PATIENTS WITH OBSESSIVE- COMPULSIVE DISORDER DRIVES BEHAVIORAL SYMPTOMS AND NEUROINFLAMMATION VIA SUCCINIC ACID IN MICE Open
Background Emerging evidence suggests that the gut microbiota is closely related to psychiatric disorders. However, little is known about the role of the gut microbiota in the development of obsessive- compulsive disorder (OCD). Aims & Obj…
View article: HUMAN MICROBIOTA FROM DRUG-NAIVE PATIENTS WITH OBSESSIVE- COMPULSIVE DISORDER DRIVES BEHAVIORAL SYMPTOMS AND NEUROINFLAMMATION VIA SUCCINIC ACID IN MICE
HUMAN MICROBIOTA FROM DRUG-NAIVE PATIENTS WITH OBSESSIVE- COMPULSIVE DISORDER DRIVES BEHAVIORAL SYMPTOMS AND NEUROINFLAMMATION VIA SUCCINIC ACID IN MICE Open
Background Emerging evidence suggests that the gut microbiota is closely related to psychiatric disorders. However, little is known about the role of the gut microbiota in the development of obsessive- compulsive disorder (OCD). Aims & Obj…
View article: Scaling up and dissemination of pre-service education in mental, neurological, and substance use disorders: the way moving forward
Scaling up and dissemination of pre-service education in mental, neurological, and substance use disorders: the way moving forward Open
Mental, neurological, and substance use (MNS) disorders pose a significant global health challenge, requiring urgent integration of care into pre-service education (PSE) for medical and nursing students. The World Health Organization (WHO)…
View article: Beyond Inherent Cognition Biases in LLM-Based Event Forecasting: A Multi-Cognition Agentic Framework
Beyond Inherent Cognition Biases in LLM-Based Event Forecasting: A Multi-Cognition Agentic Framework Open
View article: Biaxially Oriented Polyethylene Film Preserves Nutritional Quality and Extends the Shelf Life in Postharvest Peaches
Biaxially Oriented Polyethylene Film Preserves Nutritional Quality and Extends the Shelf Life in Postharvest Peaches Open
View article: PFDial: A Structured Dialogue Instruction Fine-tuning Method Based on UML Flowcharts
PFDial: A Structured Dialogue Instruction Fine-tuning Method Based on UML Flowcharts Open
View article: PQD: Post-training Quantization for Efficient Diffusion Models
PQD: Post-training Quantization for Efficient Diffusion Models Open
Diffusionmodels(DMs)havedemonstratedremarkableachievements in synthesizing images of high fidelity and diversity. However, the extensive computational requirements and slow generative speed of diffusion models have limited their widespread…
View article: Experimental and numerical study on cavitation flow characteristics of refrigerants with different thermophysical properties in confined micro-clearance
Experimental and numerical study on cavitation flow characteristics of refrigerants with different thermophysical properties in confined micro-clearance Open
In high-speed hydraulic machinery, its efficiency and reliability are affected by the cavitation in the bearing. Due to the confined effect of the bearing clearance, cavitation bubbles grow in a two-dimensional way. To uncover the cavitati…
View article: The Integration of Education and Technology: Empowering Special Needs Students
The Integration of Education and Technology: Empowering Special Needs Students Open
The integration of technology into education has revolutionized the way teaching and learning occur, offering significant opportunities for special needs students. This essay explores how technology can enhance learning experiences for stu…
View article: Advances in 3D printing technology for preparing bone tissue engineering scaffolds from biodegradable materials
Advances in 3D printing technology for preparing bone tissue engineering scaffolds from biodegradable materials Open
Introduction Bone tissue engineering (BTE) provides an effective repair solution by implanting osteoblasts or stem cells into biocompatible and biodegradable scaffolds to promote bone regeneration. In recent years, the rapid development of…
View article: A two-layer planning model for source storage in distribution networks based on SSA-AVOA intelligent combination algorithm
A two-layer planning model for source storage in distribution networks based on SSA-AVOA intelligent combination algorithm Open
As renewable energy sources become more integrated into the power grid, their output uncertainty presents several challenges, including increased planning costs for the distribution network, potentially reduced economic benefits, and decre…
View article: Personalized Playback Technology: How Short Video Services Create Excellent User Experience
Personalized Playback Technology: How Short Video Services Create Excellent User Experience Open
Short-form video content has become increasingly popular and influential in recent years. Its concise yet engaging format aligns well with todays' fast-paced and on-the-go lifestyles, making it a dominating trend in the digital world. As o…
View article: Implementation of the <scp>ICD</scp>‐11 <scp>CDDR</scp> in China
Implementation of the <span>ICD</span>‐11 <span>CDDR</span> in China Open
View article: Cross-Scan Mamba with Masked Training for Robust Spectral Imaging
Cross-Scan Mamba with Masked Training for Robust Spectral Imaging Open
Snapshot Compressive Imaging (SCI) enables fast spectral imaging but requires effective decoding algorithms for hyperspectral image (HSI) reconstruction from compressed measurements. Current CNN-based methods are limited in modeling long-r…
View article: Single-Snapshot Direction of Arrival Estimation for Vehicle-Mounted Millimeter-Wave Radar via Fast Deterministic Maximum Likelihood Algorithm
Single-Snapshot Direction of Arrival Estimation for Vehicle-Mounted Millimeter-Wave Radar via Fast Deterministic Maximum Likelihood Algorithm Open
As one of the fundamental vehicular perception technologies, millimeter-wave radar’s accuracy in angle measurement affects the decision-making and control of vehicles. In order to enhance the accuracy and efficiency of the Direction of Arr…
View article: A variational expectation-maximization framework for balanced multi-scale learning of protein and drug interactions
A variational expectation-maximization framework for balanced multi-scale learning of protein and drug interactions Open
View article: A Negative Sample-Free Graph Contrastive Learning Algorithm
A Negative Sample-Free Graph Contrastive Learning Algorithm Open
Self-supervised learning is a new machine learning method that does not rely on manually labeled data, and learns from rich unlabeled data itself by designing agent tasks using the input data as supervision to obtain a more generalized rep…
View article: Ensemble Successor Representations for Task Generalization in Offline-to-Online Reinforcement Learning
Ensemble Successor Representations for Task Generalization in Offline-to-Online Reinforcement Learning Open
In Reinforcement Learning (RL), training a policy from scratch with online experiences can be inefficient because of the difficulties in exploration. Recently, offline RL provides a promising solution by giving an initialized offline polic…