A5036285494- Antiplatelet Therapy and Cardiovascular Diseases
- Acute Myocardial Infarction Research
- Atrial Fibrillation Management and Outcomes
- Advanced Bandit Algorithms Research
- Neurosurgical Procedures and Complications
- E-commerce and Technology Innovations
- Organ Transplantation Techniques and Outcomes
- Landslides and related hazards
- Mitochondrial Function and Pathology
- Handwritten Text Recognition Techniques
- Intracerebral and Subarachnoid Hemorrhage Research
- Advanced battery technologies research
- Organ Donation and Transplantation
- Text and Document Classification Technologies
- Anesthesia and Sedative Agents
- Domain Adaptation and Few-Shot Learning
- Anomaly Detection Techniques and Applications
- Advanced Chemical Sensor Technologies
- Global Trade and Competitiveness
- Sentiment Analysis and Opinion Mining
- Wine Industry and Tourism
- Infrastructure Maintenance and Monitoring
- Venous Thromboembolism Diagnosis and Management
- Underground infrastructure and sustainability
- Nanoplatforms for cancer theranostics
University of Rochester
2025
University of Kansas Medical Center
2025
Northwestern Polytechnical University
2024
Zhejiang Lab
2024
Guangdong Academy of Sciences
2024
Renji Hospital
2024
Aga Khan University
2023
Beijing Anzhen Hospital
2022
Capital Medical University
2022
Mitochondrial dysfunction has been implicated in aging and various cancer development. As highly dynamic organelles, mitochondria constantly undergo fission, mediated by dynamin-related protein 1 (DRP1, gene name Dnm1l ), fusion, regulated mitofusin (MFN1), MFN2, optic atrophy (OPA1). However, whether how dysregulation of dynamics would be involved liver pathogenesis tumorigenesis is unknown. Flox/Flox ( F/F Mfn1 Mfn2 mice were crossed with albumin-Cre to generate liver-specific knockout (L-...
Historical news media reports serve as a vital data source for understanding the risk of urban ground collapse (UGC) events. At present, application large language models (LLMs) offers unprecedented opportunities to effectively extract UGC events and their spatiotemporal information from vast amount data. Therefore, this study proposes an LLM-based inventory construction framework consisting three steps: crawling, event recognition, attribute extraction. Focusing on Zhejiang province, China,...
Abstract Rapid postharvest physiological deterioration (PPD) of cassava (Manihot esculenta Crantz) storage roots is a major constraint that limits the potential this plant as food and industrial crop. Extensive studies have been performed to explore regulatory mechanisms underlying PPD processes in understand their molecular responses. However, exceptional functional versatility alternative splicing (AS) remains be explored during process cassava. Here, we identified several aberrantly...
This paper proposes an enhanced Long Short-Term Memory (LSTM) based forecasting model explicitly designed for functional beverage sales prediction in cross-cultural markets. Traditional methods often struggle with capturing the complex interplay between cultural factors and patterns, leading to suboptimal accuracy diverse market environments. The proposed incorporates innovative architectural modifications standard LSTM structure, integrating cultural-aware gates specialized feature...
To study the application of convolutional neural networks (CNN) in microblog sentiment analysis, a dictionary is established first. Then, latent Dirichlet allocation (LDA) proposed for user forwarding analysis. The analysis models CNN and long short-term memory network (LSTM) are established. Experiments conducted to verify effect. main contributions this work encompass establishment lexicon Weibo, optimization two models, namely LSTM, as well comparison performance three approaches: CNN,...
Perioperative anaesthesia management has an important significance for kidney transplantation; however, the related consensus remains limited. An electronic survey with 44 questions was developed and sent to chief anaesthesiologist at 115 non-military medical centres performing transplantation in China through WeChat. A response rate of 81.7% achieved from 94 centres, where 94.4% transplants (10404 /11026) were completed 2021. The result showed overview perioperative practice...
This study proposes an integrated machine learning approach for predicting cross-border e-commerce purchase behavior in organic products, incorporating cultural dimensions and digital footprints. Through the analysis of 1.2 million transactions across 15 major platforms spanning 2021-2023, research develops a novel predictive framework combining adaptive neural networks with dimension analysis. The methodology employs multi-stage data processing pipeline achieving 88.5% accuracy...