Explanipedia

Supramolecular Self‐Assembled Multivalent Anti‐VEGF Protein Nanospheres for Prolonged Ocular Retention Open

Zhou Tian, Jie Ma, Nien Li, Jiaqi Zhang, Jinliang Huang , et al. · 2025

To meet the therapeutic demands for long‐acting anti‐vascular endothelial growth factor (VEGF) agents in retinal vascular diseases—specifically prolonged half‐life, high bioactivity, and high concentration with low viscosity—a supramolecul…

Deliberation on Priors: Trustworthy Reasoning of Large Language Models on Knowledge Graphs Open

Jie Ma, Ning Qu, Zhitao Gao, Rui Xing, Jun Liu , et al. · 2025

Knowledge graph-based retrieval-augmented generation seeks to mitigate hallucinations in Large Language Models (LLMs) caused by insufficient or outdated knowledge. However, existing methods often fail to fully exploit the prior knowledge e…

Comparative transcriptome analysis and candidate gene mining for fire blight of Pear resistance in Korla fragrant Pear (Pyrus sinkiangensis Yü) Open

Yue Li, Yiwei Ye, Huan Wei, Juan Ji, Jie Ma , et al. · 2025

Fire blight of pear is caused by Erwinia amylovora, which can cause devastating damage to pear trees and other pome fruit trees worldwide. Fire blight has resulted in a reduction in the production of Korla fragrant pears in Xinjiang, China…

Co-Progression Knowledge Distillation with Knowledge Prototype for Industrial Anomaly Detection Open

Bokang Yang, Zhe Zhang, Jie Ma · 2025

Unsupervised anomaly detection has emerged as a powerful technique for identifying abnormal patterns in images without relying on pre-labeled defective samples. Many unsupervised methods use pre-trained feature extractors from large datase…

Constructing a Predictive Model for PD-1 Blockade Therapy in Pan-Cancer Based on Machine Learning Open

Hening Li, Shanhang Li, Liang Xiong, Mingxiu Yang, Wei Dai , et al. · 2025

Programmed cell death protein-1 (PD-1) blockade therapy have shown significant efficacy in cancer immunotherapy. However, low response rates and individual variability remain challenges. Currently, a universal biomarker to assess immunothe…

Learning Local Reference Frame for 3D Point Cloud via Contrastive Learning Open

Junfeng Ding, Yunbiao Xu, Haoming Wu, Jie Ma · 2025

Pattern Recognition and Leading Edge Extraction for the Backscatter Ionograms by YOLOX Open

Jie Ma, Guobin Yang, Chun-Hua Jiang, Tongxin LIU · 2025

The ionosphere is an important component of the near Earth space environment. The three common methods for detecting the ionosphere with high frequency (HF) radio signals are vertical detection, oblique detection, and oblique backscatter d…

Mechanism and regulation of iron absorption throughout the life cycle Open

Lili Qiu, D. Frazer, Mengxiao Hu, Rui Song, Xiaoxue Liu , et al. · 2025

This review first summarize the mechanism and regulation of iron absorption throughout various life stages, highlighting that regulatory mechanisms have developed to precisely align iron absorption to iron requirements. In adults, iron abs…

Lightweight detection model for safe wear at worksites using GPD-YOLOv8 algorithm Open

Jian Xing, Chenglong Zhan, Jie Ma, Zibo Chao, Ying Liu · 2025

Aggressive Behavior Recognition and Welfare Monitoring in Yellow-Feathered Broilers Using Fctr and Wearable Identity Tags Open

Hongcheng Xue, Jie Ma, Yakun Yang, Hao Qu, Longhe Wang , et al. · 2025

LiDAR-Camera Range-View fusion for 3D Object Detection in Autonomous Driving Open

Xuzhong Hu, Zaipeng Duan, Pei An, Jun Zhang, Jie Ma · 2024

In recent years, LiDAR-Camera fusion for 3D object detection has emerged as a research hotspot, owing to its superior performance compared to single-sensor approaches. However, the vast majority of methods adopt fusion in the point, voxel,…

Robotic Grasping Detection Algorithm Based on 3D Vision Dual-Stream Encoding Strategy Open

Minglin Lei, Pandong Wang, Lei Hua, Jie Ma, Wei Wu , et al. · 2024

The automatic generation of stable robotic grasping postures is crucial for the application of computer vision algorithms in real-world settings. This task becomes especially challenging in complex environments, where accurately identifyin…

Mind the Context: Attention-Guided Weak-to-Strong Consistency for Enhanced Semi-Supervised Medical Image Segmentation Open

Yuxuan Cheng, Chenxi Shao, Jie Ma, G. Li · 2024

Medical image segmentation is a pivotal step in diagnostic and therapeutic processes, relying on high-quality annotated data that is often challenging and costly to obtain. Semi-supervised learning offers a promising approach to enhance mo…

Semantic–Electromagnetic Inversion With Pretrained Multimodal Generative Model Open

Yanjin Chen, Hongrui Zhang, Jie Ma, Tie Jun Cui, Philipp del Hougne , et al. · 2024

Across diverse domains of science and technology, electromagnetic (EM) inversion problems benefit from the ability to account for multimodal prior information to regularize their inherent ill‐posedness. Indeed, besides priors that are form…

Discovery of novel CXCR4 inhibitors for the treatment of inflammation by virtual screening and biological evaluation Open

Fang Wang, Jie Ma, Lili Yang, Hu Ping, Siming Tang , et al. · 2024

Adaptive plasticity of natural interleukin-35-induced regulatory T cells (Tr35) that are required for T-cell immune regulation Open

Xundong Wei, Jianhua Zhang, Jian Cui, Wei Xu, Gang Zhao , et al. · 2024

Background: IL-35 potently inhibits immune responses both in vivo and in vitro. However, the specific characteristics of IL-35-producing cells, including their developmental origin, cellular phenotype, and function, ar…

Discovery of Novel Tryptanthrin Derivatives with Benzenesulfonamide Substituents as Multi-Target-Directed Ligands for the Treatment of Alzheimer’s Disease Open

Guoxing Wang, Jiyu Du, Jie Ma, Peipei Liu, Siqi Xing , et al. · 2023

Based on the multi-target-directed ligands (MTDLs) approach, two series of tryptanthrin derivatives with benzenesulfonamide substituents were evaluated as multifunctional agents for the treatment of Alzheimer’s disease (AD). In vitro biolo…

Leveraging Self-Paced Semi-Supervised Learning with Prior Knowledge for 3D Object Detection on a LiDAR-Camera System Open

Pei An, Junxiong Liang, Xing Hong, Siwen Quan, Tao Ma , et al. · 2023

Three dimensional (3D) object detection with an optical camera and light detection and ranging (LiDAR) is an essential task in the field of mobile robot and autonomous driving. The current 3D object detection method is based on deep learni…

Automatic Matching of Multimodal Remote Sensing Images via Learned Unstructured Road Feature Open

Kun Yu, Chengcheng Xu, Jie Ma, Bin Fang, Junfeng Ding , et al. · 2022

Automatic matching of multimodal remote sensing images remains a vital yet challenging task, particularly for remote sensing and computer vision applications. Most traditional methods mainly focus on key point detection and description of …

Distribution Aware VoteNet for 3D Object Detection Open

Junxiong Liang, Pei An, Jie Ma · 2022

Occlusion is common in the actual 3D scenes, causing the boundary ambiguity of the targeted object. This uncertainty brings difficulty for labeling and learning. Current 3D detectors predict the bounding box directly, regarding it as Dirac…

Online Extrinsic Calibration on LiDAR-Camera System with LiDAR Intensity Attention and Structural Consistency Loss Open

Pei An, Yingshuo Gao, Liheng Wang, Yanfei Chen, Jie Ma · 2022

Extrinsic calibration on a LiDAR-camera system is an essential task for the advanced perception application for the intelligent vehicle. In the offline situation, a calibration object based method can estimate the extrinsic parameters in h…

Ambient PM2.5 exposure causes cellular senescence via DNA damage, micronuclei formation, and cGAS activation Open

Tao Wu, Shengmin Xu, Biao Chen, Lingzhi Bao, Jie Ma , et al. · 2022

Ambient PM2.5 is one of the environmental risk factors and was correlated with senescence-related diseases based on the epidemiologic investigation. However, little is known about senescence induced by PM2.5 as well as the underlying mecha…

Exploit Direction Information for Remote Ship Detection Open

Zhenbiao Tan, Zekun Zhang, Tingzhuang Xing, Xiao Huang, Junbin Gong , et al. · 2021

Ship detection in remote sensing has been achieving increasing significance recently. In remote sensing, ships are arbitrary oriented and the detector has to learn the object features of arbitrary orientation by rote, which demands a large…

Vehicle detection based on point cloud intensity and distance clustering Open

Wang Zhao, Xing Wang, Bin Fang, Kun Yu, Jie Ma · 2021

In the intelligent transportation system, vehicle detection is one of the essential technologies in obstacle avoidance and navigation, however the existing vehicle detection methods cannot meet the actual needs. This paper presents a vehic…

Elucidating Degradation Properties, Microbial Community and Mechanism of Microplastics in Sewage Sludge Under Different Terminal Electron Acceptors Conditions Open

Jie Ma, Zhiwei Gong, Gang Guo, Hui Liu, Guanghao Chen , et al. · 2021

Multimodal Urban Remote Sensing Image Registration Via Roadcross Triangular Feature Open

Kun Yu, Xiao Zheng, Bin Fang, Pei An, Xiao Huang , et al. · 2021

Automatic image registration of multimodal urban remote sensing images remains a critical challenging task in remote sensing image analysis due to significant nonlinear radiation distortions between multimodal image pairs; most of the trad…

D- and Unnatural Amino Acid Substituted Antimicrobial Peptides With Improved Proteolytic Resistance and Their Proteolytic Degradation Characteristics Open

Jianguang Lu, Hongjiang Xu, Jianghua Xia, Jie Ma, Jun Xu , et al. · 2020

The transition of antimicrobial peptides (AMPs) from the laboratory to market has been severely hindered by their instability toward proteases in biological systems. In the present study, we synthesized derivatives of the cationic AMP Pep0…

Stochastic Batch Augmentation with An Effective Distilled Dynamic Soft Label Regularizer Open

Qian Li, Qingyuan Hu, Yong Qi, Saiyu Qi, Jie Ma , et al. · 2020

Data augmentation have been intensively used in training deep neural network to improve the generalization, whether in original space (e.g., image space) or representation space. Although being successful, the connection between the synthe…

Stochastic Batch Augmentation with An Effective Distilled Dynamic Soft Label Regularizer Open

Qian Li, Qingyuan Hu, Yong Qi, Saiyu Qi, Jie Ma , et al. · 2020

Data augmentation have been intensively used in training deep neural network to improve the generalization, whether in original space (e.g., image space) or representation space. Although being successful, the connection between the synthe…

Microbial Distribution and Antibiotic Susceptibility in Patients with Complicated Skin and Soft Tissue Infections of the Extremities in North-Eastern China Open

Jie Ma, Yanqing Song, Xiangfeng Wang, Huiyu Yan, Yue Zhang , et al. · 2020

Background For complicated skin and soft tissue infections (cSSTIs), inappropriate initial anti-infective treatment often leads to treatment failure. The microbial distribution in patients with extremities’ cSSTIs has been rarely reported.…

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