Xinyu Zhu

Whole-Blood Fatty Acid Phenotypes and Subsequent Quality-of-Life Changes Among Cancer Survivors

Lin Lv, Juan Xia, Xinyu Zhu, Luxin Wang et autres

Background/Objectives: Whole-blood fatty acid composition provides an objective biomarker of fatty acid status, but its relationships with nutritional characteristics and subsequent quality-of-life (QoL) changes among cancer survivors remain incompletely understood. We aimed to identify whole-blood fatty acid phenotypes and examine their associations …

cn (code pays fourni par la source)

Predicting treatment-related cardiovascular risks in breast cancer patients: development and validation of an interpretable machine learning model

Luxin Wang, Rui Yan, Xinyu Zhu, Jinming Yu et autres

Purpose: This study aimed to develop and validate an interpretable machine learning model to predict the 1- to 3-year risk of cardiovascular events in breast cancer patients by integrating baseline and treatment variables, while preliminarily investigating the potential association between short-term cardiac …

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Risk-Driven Cross-Layer Resilience Architecture for UAV Swarms Under Extreme Wind Disturbances

S S Liu, Xinyu Zhu, Tingyu Zhu, Yuehao Yan et autres

Typhoon-eye sensing places unmanned aerial vehicle (UAV) swarms in a setting where the wind field that carries the target signal also displaces aircraft, drains energy, weakens links, and increases failure risk. A rule that improves only routing or only motion can therefore …

cn (code pays fourni par la source)

A Newly Designed Antibody–drug Conjugate Targeting B7-H3 Demonstrates Enhanced Therapeutic Efficacy Across a Spectrum of Cancers

Qian Jing, Xinyu Zhu, Xiaobei Zhao, Jie Zhu et autres

cn, jp, us (code pays fourni par la source)

Research on 3D Geometric Modeling Theory of Multi-constraint Environment for UAV Rescue after Earthquake

Xinyu Zhu, Jianyu Chu

The effectiveness of emergency response to earthquake disasters is crucial for the safety of lives and property. Unmanned Aerial Vehicles (UAVs), with their unique mobility, have emerged as a key force in reopening lifelines after earthquakes. However, the post-earthquake environment is fraught …

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A Dual-Modal Adaptive Pyramid Transformer Algorithm for UAV Cross-Modal Object Detection

Qiqin Li, Ming Yang, Xiaoqiang Zhang, Nannan Wang et autres

Unmanned Aerial Vehicles (UAVs) play vital roles in traffic surveillance, disaster management, and border security, highlighting the importance of reliable infrared–visible image detection under complex illumination conditions. However, UAV-based infrared–visible detection still faces challenges in multi-scale target recognition, robustness to lighting variations, …

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A Hierarchical PSMC–LQR Control Framework for Accurate Quadrotor Trajectory Tracking

S.-C. Chen, Xinyu Zhu, Yichao Fang, Han Dan et autres

Accurate trajectory tracking of quadrotor UAVs remains challenging due to highly nonlinear dynamics, model uncertainties, and time-varying external disturbances, which make it difficult to achieve both precise position tracking and stable attitude regulation under control constraints. To tackle these coupled problems, this …

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An Improved Gesture Recognition Algorithm Based on the Integration of CNN and Transformer

Zhan Shi, Lei Han, Xinyu Zhu

In today's rapidly advancing era of intelligence and digitalization, gesture recognition, as a natural and efficient interaction method, has become an important research direction in the field of human-computer interaction. Traditional gesture recognition methods often rely on static image features, frequently facing …

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Beyond Outcome Reward: Decoupling Search and Answering Improves LLM Agents

Yiding Wang, Xinyu Zhu, Yu Meng

Enabling large language models (LLMs) to utilize search tools offers a promising path to overcoming fundamental limitations such as knowledge cutoffs and hallucinations. Recent work has explored reinforcement learning (RL) for training search-augmented agents that interleave reasoning and retrieval before answering. These …

UK Biobank-centric advances in brain age prediction: a comprehensive review

Yanxue Li, Hongjian Gao, Lan Lin, Yutong Wu et autres

With the accelerating global population aging, establishing effective brain health assessment systems has emerged as a critical challenge in public health. Neuroimaging-based brain age prediction, serving as a potential biomarker for evaluating individual brain aging, has achieved remarkable breakthroughs in recent years. …

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VH032 suppresses glioma proliferation by inhibiting the VHL/HIF-1α/VEGF pathway

Yi Zhang, Xinyu Zhu, Jianying Gu, Peng Wang et autres

VH032 is a VHL ligand employed for the recruitment of the von Hippel-Lindau (VHL) protein. Recent studies reveal VHL exhibits significant antitumour effects on various tumor cells. Nevertheless, VH032's impacts on glioma cells remain largely unexplored. The study explored VH032's impact on …

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Unraveling the causal role of TGF-βRII in osteoporosis and the potential of its associated differential genes as novel targets

Xinyu Zhu, Yueyang Fan, Wenyu Wang, Rui Wu et autres

BACKGROUND: Osteoporosis (OP) is a common disorder associated with reduced density of the bones, increasing the likelihood of fractures and deformities. The global incidence of OP is rising rapidly due to aging populations and lifestyle changes, affecting not only older adults but, …

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