A5100772304- Advanced Neural Network Applications
- Domain Adaptation and Few-Shot Learning
- Parallel Computing and Optimization Techniques
- Railway Systems and Energy Efficiency
- Embedded Systems Design Techniques
- Multimodal Machine Learning Applications
- Machine Learning and ELM
- Medical Image Segmentation Techniques
- Neurological Disease Mechanisms and Treatments
- Neural Networks and Applications
- Railway Engineering and Dynamics
- Machine Learning and Data Classification
- Cardiac Imaging and Diagnostics
- Japanese History and Culture
- Advanced MRI Techniques and Applications
- Distributed and Parallel Computing Systems
- Electric and Hybrid Vehicle Technologies
- Chinese history and philosophy
- 3D Shape Modeling and Analysis
- Engineering and Test Systems
- Network Packet Processing and Optimization
- Computational Geometry and Mesh Generation
- Sarcoma Diagnosis and Treatment
- Generative Adversarial Networks and Image Synthesis
- Advanced Control Systems Design
Guangdong University of Finance
2021-2025
Shanghai Municipal Center For Disease Control Prevention
2025
Lanzhou University of Technology
2022-2023
China Telecom
2023
Vibrant Data (United States)
2023
Ruijin Hospital
2023
Shanghai Jiao Tong University
2023
Chinese Academy of Medical Sciences & Peking Union Medical College
2023
Guilin University of Technology
2017-2023
China Telecom (China)
2023
This paper systematically discusses the impact of kitchen environment design on users’ well-being. Based user-centered concept, this focuses theoretical framework positive psychology and combines quantitative qualitative research methods. Firstly, using bibliometric analysis tools (CiteSpace 6.1.R1 VOSviewer 1.6.20), 1256 related articles in Web Science Core database were analyzed to reveal multidimensional association between user It was found that improving air quality, optimizing space...
Advanced control is a key technology for enhancing safe and reliable operation of high-speed trains. This paper presents an automated train scheme trains with combined longitudinal aerodynamics tracking/braking dynamics, special emphasis on position velocity tracking in the face traction/braking failures. The controller synthesized using so-called virtual-parameter-based backstepping adaptive method, which exhibits several salient features: 1) inherent coupling effects are taken into account...
Few-shot fine-grained image classification has attracted considerable attention in recent years for its realistic setting to imitate how humans conduct recognition tasks. Metric-based few-shot classifiers have achieved high accuracies. However, their metric function usually requires two arguments of vectors, while transforming or reshaping three-dimensional feature maps vectors can result loss spatial information. Image reconstruction is thus involved retain more appearance details: the test...
Large language models (LLMs) have demonstrated remarkable capabilities in various complex tasks, yet they still suffer from hallucinations. Introducing external knowledge, such as knowledge graph, can enhance the LLMs' ability to provide factual answers. LLMs interactively explore graphs. However, most approaches been affected by insufficient internal excavation LLMs, limited generation of trustworthy reasoning paths, and a vague integration between knowledge. Therefore, we propose KnowPath,...
At present, China is facing a serious aging problem. Although community daycare centers have been built, they generally problems such as inadequate facilities, single-service provision, and insufficient environmental design. These make it impossible to meet the multifaceted needs of elderly in their old age, enhance sense wellbeing, achieve sustainable development. Therefore, relevant policies indicate that service model day care should be actively constructed upgraded. However, most...
Importance Evidence from everyday dining situations regarding the effects of traffic light labels (TLLs) on dietary improvement remains inconsistent. Objective To evaluate TLLs consumption and choices in cafeteria settings. Design, Setting, Participants This 2-arm, parallel randomized clinical trial was conducted at a company staff Shanghai, China, September to December 2022. Of 153 adult participants, 76 were randomly assigned intervention group 77 control group. Data analysis July October...
This paper investigates the automatic control problem of high speed train systems under immeasurable aerodynamic drag. Robust and adaptive algorithms are developed to ensure precision tracking position velocity. The scheme does not rely on precise system parameters. Furthermore, there is no need for analytic estimation or experimental determination resistance coefficients. It also able deal with various additional due uncertain operation railway conditions. effectiveness proposed method...
Traceability and trustiness are two critical issues in the logistics sector. Blockchain provides a potential way for tracking systems due to its traits of tamper resistance. However, it is non-trivial apply blockchain on because firstly, binding relationship between virtue data physical location cannot be guaranteed so that frauds may exist. Secondly, neither practical upload complete limited storage resources nor convincing trust digest data. This paper proposes traceable trustable...
Methotrexate, etoposide, dexamethasone, and pegaspargase (MESA) with sandwiched radiotherapy is known to be effective for early-stage extranodal natural killer/T-cell lymphoma, nasal type (NKTCL). We explored the efficacy safety of reduced-intensity, non-intravenous (ESA) radiotherapy. This multicenter, randomized, phase III trial enrolled patients aged between 14 70 years newly diagnosed NKTCL from 27 centers in China. Patients were randomly assigned (1:1) receive ESA (pegaspargase 2,500...
Network technology plays an increasingly important role in all aspects of social life. The Internet has brought a new round industrial revolution and upgrading. arrival the “Internet” era is accompanied by large-scale increase network applications number netizens. At same time, severity cyberattacks continue to increase. Therefore, intrusion detection systems (IDSs) have become part current security infrastructure various industries. Anomaly traffic data effective method for protection. In...
Large deformations of organs, caused by diverse shapes and nonlinear shape changes, pose a significant challenge for medical image registration. Traditional registration methods need to iteratively optimize an objective function via specific deformation model along with meticulous parameter tuning, but which have limited capabilities in registering images large deformations. While deep learning-based can learn the complex mapping from input their respective field, it is regression-based...
Three novel hydrated pharmaceutical salts of cephalexin with acidic organic counterions were successfully obtained and thoroughly characterized by various analytical techniques.
Background: It has been reported that the structure-based approach for defining functional groups of epidermal growth factor receptor (EGFR) mutations predicts efficacy EGFR inhibitors better than traditional exon-based in advanced stage. However, less is known about this classification operable early-stage lung adenocarcinoma. Methods: Non-small cell cancer (NSCLC) patients with pathological stage I–III or adenocarcinoma situ (AIS) who had identified next-generation sequencing (NGS) testing...
Introduction: The North Qilian orogenic belt, as the Northern branch of original Tethys tectonic domain, is important for reconstructing evolution ancient Tethys. However, history belt remains controversial. This study addresses this issue from a geochemical perspective. Methods: In study, comprehensive analysis geochronology, whole-rock geochemistry, clinopyroxene mineral zircon Ti crystallization temperature, and gabbromagma temperature pressure in Yushigou ophiolite was conducted to...
Large training datasets almost always contain examples with inaccurate or incorrect labels. Deep Neural Networks (DNNs) tend to overfit label noise, resulting in poorer model performance practice. To address this problem, we propose a robust correction framework combining the ideas of small loss selection and noise correction, which learns network parameters reassigns ground truth labels iteratively. Taking expertise DNNs learn meaningful patterns before fitting our first trains two networks...
To assess the clinical effects of primary nursing on diabetic nephropathy patients undergoing hemodialysis and its impact inflammatory responses.Between July 2019 April 2021, 80 with who underwent in our institution were recruited assigned at a ratio 1 : to receive either routine (routine group) or (primary group). The outcome measures included outcomes, factor levels, psychological status.Primary resulted lower levels blood creatinine, fasting glucose, urea nitrogen, proteinuria versus (P <...