8 hasil untuk "Li-hao Zhang"
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Artikel Jurnal Teks lengkap
Anchor-Free Target Detection Model Based on Single Thread
In order to avoid the negative impact of anchor on the robustness of the target detection model and ensure the model has high accuracy without anchor, this paper proposes a single thread and no anchor full convolution network model. By canceling the pre-set anchor parameters and pixel level…
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Misplaced Inventory and Lead-Time in the Supply Chain: Analysis of Decision-Making on RFID Investment with Service Level
Radio-frequency identification (RFID), as the key technology of Internet of Things (IoT), has been hailed as a major innovation to solve misplaced inventory and reduce lead-time. Many retailers have been pushing their suppliers to invest this technology. However, its associated costs seem to…
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Effect of Different Modalities of Repetitive Transcranial Magnetic Stimulation on Post-stroke Upper Limb Motor Dysfunction: a Network Meta-analysis
Background Upper limb motor dysfunction is a common complication after stroke that seriously affects daily living skills of patients. As a common neuroelectrohysiological technique, repetitive transcranial magnetic stimulation (rTMS) has a good effect on post-stroke upper limb motor dysfunction…
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Can smoking history, peripheral inflammation, and nutritional status discriminate Parkinson’s disease? Development and validation of a clinically accessible nomogram
BackgroundParkinson’s disease (PD) is a major public health challenge in China, with rising prevalence and limited early diagnostic tools. Systemic inflammation and nutritional status are increasingly recognized as key modulators of PD pathogenesis, but integrated predictive models remain…
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Fine-grained Sentiment Classification of Chinese Microblogs Combining Dual Weight Mechanismand Graph Convolutional Neural Network
Using deep learning models and attention mechanisms to classify fine-grained emotions of Chinese microblogs has become a research hotspot.However,the existing attention mechanisms consider the impact of words on words,and lack effective integration of the various dimensional characteristics of the…
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Artikel Jurnal Teks lengkap
Research progress on oral microecological imbalance and intervention strategies after radiotherapy for head and neck tumors
Radiotherapy is a crucial treatment modality for head and neck tumors. However, while effectively killing tumor cells, it significantly disrupts the homeostasis of the oral microecology, which is closely associated with various complications such as radiation-induced oral mucositis. Literature…
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甘油三酯-葡萄糖指数在烟雾病患者中的特征分析：1项病例对照研究（Analysis of Triglyceride-Glucose Index Characteristics in Patients with Moyamoya Disease: A Case-Control Study）
目的 探讨甘油三酯-葡萄糖（triglyceride-glucose，TyG）指数与烟雾病及其临床表现的关系。 方法 回顾性连续纳入2022年8月—2024年5月于首都医科大学附属北京天坛医院神经外科住院治疗的烟雾病患者及同时期健康对照者，并对其进行性别和年龄倾向性评分匹配，将匹配后的烟雾病患者纳入烟雾病组，健康对照者纳入对照组。收集烟雾病患者入院时人口学资料、实验室检查结果及影像学检查资料，并计算TyG指数。采用logistic回归分析，探讨TyG指数与烟雾病Suzuki分期及临床表现的关系。 结果…
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人工智能融合临床与多组学数据在卒中防治及医药研发中的应用与挑战Applications and Challenges of Integrating Artificial Intelligence with Clinical and Multi-omics Data in Stroke Prevention, Treatment, and Pharmaceutical Research and Development
卒中是全球致死致残的首要病因。基于人工智能（artificial intelligence，AI）融合临床与多组学数据的研究范式，为卒中精准防治提供了新方案。AI技术通过整合分析临床与多组学数据，能够提升卒中高危人群识别能力，优化早期诊断与风险评估，实现卒中亚型的精准分型，同时可筛选潜在药物靶点，构建预后预测模型。然而，卒中多组学资源相对匮乏、多模态数据融合困难，以及算法可解释性不足等仍是临床转化的主要瓶颈。本文对AI融合临床与多组学数据在卒中防治及医药研发中的应用与挑战等研究进展进行综述。Abstract: Stroke is the leading global cause of…