Explanipedia

A clinical review of acute poisoning among pediatric individuals Open

Yi Pan · 2025

Pediatric acute poisoning manifests in various forms and clinical presentations, influenced by the nature and dosage of toxicants involved. Most acute poisonings are preventable, highlighting the urgent need for preventive measures. Beside…

Noise2read: Accurately Rectify Millions of Erroneous Short Reads Through Graph Learning on Edit Distances Open

Pengyao Ping, Shuquan Su, Xinhui Cai, Xuan Zhang, Hui Peng , et al. · 2025

Although the per-base error rate of short-read sequencing data is very low at 0.1%–0.5%, the percentage/probability of erroneous reads in a dataset can be as high as 10%–15% or in the number millions. As current methods correct only some e…

High-Throughput Tear Proteomics Reveals Multi-Faceted Signatures of Thyroid Eye Disease Open

Runchuan Li, Haiyang Zhang, Yang Li, Yi Pan, Yining Wei , et al. · 2025

Tear proteomics reveals distinct molecular signatures shaped by the combined influences of ophthalmopathy, autoimmunity, and hyperthyroidism throughout the pathogenesis of TED, underscoring the potential of tear proteins as early, noninvas…

Large language models for bioinformatics Open

Weidong Ruan, Yanjun Lyu, Jing Zhang, Jiazhang Cai, Peng Shu , et al. · 2025

With the rapid advancements in large language model technology and the emergence of bioinformatics‐specific language models (BioLMs), there is a growing need for a comprehensive analysis of the current landscape, computational characterist…

Once Is Enough: Lightweight DiT-Based Video Virtual Try-On via One-Time Garment Appearance Injection Open

Yi Pan, Lidong Wang · 2025

Video virtual try-on aims to replace the clothing of a person in a video with a target garment. Current dual-branch architectures have achieved significant success in diffusion models based on the U-Net; however, adapting them to diffusion…

Large language models for bioinformatics Open

Weidong Ruan, Yanjun Lyu, Jing Zhang, Jiazhang Cai, Peng Shu , et al. · 2025

With the rapid advancements in large language model technology and the emergence of bioinformatics‐specific language models (BioLMs), there is a growing need for a comprehensive analysis of the current landscape, computational characterist…

Global trends and performances of acupuncture research on epilepsy: a bibliometric analysis Open

Huanhua Wu, Jinhua Hu, Yunsheng Lu, Yi Pan, Chenyi Zhuang , et al. · 2025

Background Epilepsy is a chronic neurological disorder affecting millions globally, with a significant portion of patients remaining pharmacoresistant. Acupuncture, particularly transcutaneous auricular vagus nerve stimulation (taVNS), has…

Unraveling bladder cancer-related circRNA biomarkers: a hybrid model combining deep learning and statistics Open

Yulian Ding, Yi Pan, C. Ronald Geyer, Franco J. Vizeacoumar, Frederick S. Vizeacoumar , et al. · 2025

Bridging Brains and Machines: A Unified Frontier in Neuroscience, Artificial Intelligence, and Neuromorphic Systems Open

S. Vishnu Shankar, Yi Pan, Hanqi Jiang, Zhengliang Liu, Mohammad R. Darbandi , et al. · 2025

This position and survey paper identifies the emerging convergence of neuroscience, artificial general intelligence (AGI), and neuromorphic computing toward a unified research paradigm. Using a framework grounded in brain physiology, we hi…

Reasoning to Edit: Hypothetical Instruction-Based Image Editing with Visual Reasoning Open

Qingdong He, Xueqin Chen, Chaoyi Wang, Yi Pan, Xiaobin Hu , et al. · 2025

Instruction-based image editing (IIE) has advanced rapidly with the success of diffusion models. However, existing efforts primarily focus on simple and explicit instructions to execute editing operations such as adding, deleting, moving, …

Quantification of post-COVID-19 symptoms and pulmonary functional capacity in children with COVID-19 Open

Jeng‐Hung Wu, Ching-Chia Wang, Yi Pan, Frank Leigh Lu, En‐Ting Wu · 2025

Children with post-COVID-19 symptoms had lower vaccination rates and higher sleep-related fatigue levels. Older children experienced more severe fatigue and the performance of 6MWT correlated with cognition-related fatigue scale.

Vitisin A inhibits liver fibrosis by promoting Nrf2/HO-1 pathway and inhibiting cuproptosis Open

Siwen Ding, Dingyao Hu, Yi Pan, Jiahao Wang, L.L. Wang · 2025

Liver fibrosis is a characteristic pathological feature of various chronic liver diseases, which is almost irreversible and intractable. Although many natural components have been shown to have therapeutic effects on liver fibrosis, no stu…

Lactobacillus GG and other probiotics in pediatric food allergy treatment: a network meta-analysis Open

Xiaohua Li, Du Yiting, Qin Li, Z.-r. Yang, Wu Shumao , et al. · 2025

Background Food allergies are a significant health challenge in children, impacting quality of life and posing a burden on healthcare systems. Probiotics have been proposed as a potential treatment for food allergies, but their efficacy re…

DHGT-DTI: Advancing drug-target interaction prediction through a dual-view heterogeneous network with GraphSAGE and Graph Transformer Open

Mengdi Wang, Xiujuan Lei, Ling Guo, Ming Chen, Yi Pan · 2025

Computational approaches for predicting drug-target interactions (DTIs) are pivotal in advancing drug discovery. Current methodologies leveraging heterogeneous networks often fall short in fully integrating both local and global network in…

LLM Reasoning: from OpenAI O1 to DeepSeek R1 Open

Jiaqi Wang, Xinliang Li, Zhengliang Liu, Wu Zihao, Zhong Tianyang , et al. · 2025

This review comprehensively explores reasoning capabilities in large language models (LLMs), tracing the evolution from OpenAI's O1 to DeepSeek's R1 while analyzing the underlying technological innovations. We examine three fundamental mec…

MolQAE: Quantum Autoencoder for Molecular Representation Learning Open

Yi Pan, Hanqi Jiang, Weidong Ruan, Dajiang Zhu, Xiang Li , et al. · 2025

We introduce Quantum Molecular Autoencoder (MolQAE), the first quantum autoencoder to leverage the complete molecular structures. MolQAE uniquely maps SMILES strings directly to quantum states using parameterized rotation gates, preserving…

Multi-Modal Multi-Kernel Graph Learning for Autism Prediction and Biomarker Discovery Open

Jin Liu, Junbin Mao, Hanhe Lin, Hulin Kuang, Shirui Pan , et al. · 2025

Graph learning-based multi-modal integration and classification is one of the most challenging tasks for disease prediction. To effectively offset the negative impact among modalities in the process of multi-modal integration and heterogen…

HELENE: Hessian Layer-wise Clipping and Gradient Annealing for Accelerating Fine-tuning LLM with Zeroth-order Optimization Open

Huaqin Zhao, Jiaxi Li, Yi Pan, Shizhe Liang, Xiaofeng Yang , et al. · 2025

Building a Geological Knowledge Question-Answering Large Language Model with LightRAG Technology Based on GeoGPT: A Method Study Open

Ke Li, Shaojun Guo, Yanlei Wang, Yi Pan, Cheng Xiao · 2025

Breastfeeding and Neonatal Sleep: The Circadian Rhythms of the Breast Milk Microbiome and Metabolome and Their Impact on Global Infant Health Open

Weiwei Guo, Ting Bai, Qiuyue Zhai, Hengmei Cui, Yi Pan , et al. · 2025

Constructing a Framework for the Classification of Technological Knowledge in STEM Education Open

Yi Pan, Yang Dong · 2025

Integration of Spatiotemporal Dynamics and Structural Connectivity for Automated Epileptogenic Zone Localization in Temporal Lobe Epilepsy Open

Linxia Xiao, Qingqing Zheng, Sixian Li, Yanjie Wei, Weixin Si , et al. · 2025

Accurate localization of the epileptogenic zone (EZ) is essential for surgical success in temporal lobe epilepsy. While stereoelectroencephalography (SEEG) and structural magnetic resonance imaging (MRI) provide complementary insights, exi…

Comprehensive Evaluation Method for Electric Vehicle Charging Network Service Quality Considering User Satisfaction Open

Shukang Lyu, Yi Pan, Huiyu Miao, Xiaodong Yuan, Fei Zeng · 2024

With the rapid development of the electric vehicle (EV) industry, various issues, such as the suboptimal deployment of charging facilities and inadequate distribution, hinder improvements in user satisfaction with EVs. Moreover, the intere…

scMoMtF: An interpretable multitask learning framework for single-cell multi-omics data analysis Open

Wei Lan, T. Y. Ling, Qingfeng Chen, Ruiqing Zheng, Min Li , et al. · 2024

With the rapidly development of biotechnology, it is now possible to obtain single-cell multi-omics data in the same cell. However, how to integrate and analyze these single-cell multi-omics data remains a great challenge. Herein, we intro…

Development of a triplex crystal digital RT-PCR for the detection of PHEV, PRV, and CSFV Open

Kaichuang Shi, Xin Hu, Yanwen Yin, Yuwen Shi, Yi Pan , et al. · 2024

Porcine hemagglutinating encephalomyelitis virus (PHEV), porcine pseudorabies virus (PRV), and classical swine fever virus (CSFV) are currently prevalent worldwide and cause similar neurological symptoms in infected pigs. It is very import…

Distributed Heterogeneous Spiking Neural Network Simulator Using Sunway Accelerators Open

Xuelei Li, Zhichao Wang, Yi Pan, Jintao Meng, Shengzhong Feng , et al. · 2024

Spiking Neural Network (SNN) simulation is very important for studying brain function and validating the hypotheses for neuroscience, and it can also be used in artificial intelligence. Recently, GPU-based simulators have been developed to…

Establishment of a Quadruplex RT-qPCR for the Detection of Canine Coronavirus, Canine Respiratory Coronavirus, Canine Adenovirus Type 2, and Canine Norovirus Open

Kaichuang Shi, Yandi Shi, Yuwen Shi, Feng Long, Yanwen Yin , et al. · 2024

Canine coronavirus (CCoV), canine respiratory coronavirus (CRCoV), canine adenovirus type 2 (CAV-2), and canine norovirus (CNV) are important pathogens for canine viral gastrointestinal and respiratory diseases. Especially, co-infections w…

ChatASD: A Dialogue Framework for LLMs Enhanced by Autism Knowledge Graph Retrieval Open

Lei Chu, Hongyan Wu, Yi Pan · 2024

Spatiotemporal attention boosts calling of complicated variations from long reads' alignment data Open

Ying Shi, S. Luo, Yi Pan, Hao Wu, Wenjian Wang , et al. · 2024

HELENE: Hessian Layer-wise Clipping and Gradient Annealing for Accelerating Fine-tuning LLM with Zeroth-order Optimization Open

Huaqin Zhao, Jiaxi Li, Yi Pan, Shizhe Liang, Xiaofeng Yang , et al. · 2024

Fine-tuning large language models (LLMs) poses significant memory challenges, as the back-propagation process demands extensive resources, especially with growing model sizes. Recent work, MeZO, addresses this issue using a zeroth-order (Z…

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