A5101425755- Digital Transformation in Industry
- Manufacturing Process and Optimization
- IoT and Edge/Fog Computing
- Flexible and Reconfigurable Manufacturing Systems
- Monoclonal and Polyclonal Antibodies Research
- HER2/EGFR in Cancer Research
- Electrochemical sensors and biosensors
- Biosimilars and Bioanalytical Methods
- Radiopharmaceutical Chemistry and Applications
- Indoor and Outdoor Localization Technologies
- Blood properties and coagulation
- Neonatal Respiratory Health Research
- Interstitial Lung Diseases and Idiopathic Pulmonary Fibrosis
- Advanced Nanomaterials in Catalysis
- Pediatric health and respiratory diseases
- Cancer Immunotherapy and Biomarkers
- Platelet Disorders and Treatments
- Advanced machining processes and optimization
- Cloud Data Security Solutions
- Trauma, Hemostasis, Coagulopathy, Resuscitation
- Gastrointestinal Tumor Research and Treatment
- Network Time Synchronization Technologies
- Methane Hydrates and Related Phenomena
- Coal Properties and Utilization
- Assembly Line Balancing Optimization
Eighth Affiliated Hospital of Sun Yat-sen University
2023-2025
Sun Yat-sen University
2023-2025
Viva Biotech (China)
2024-2025
Guangzhou Marine Geological Survey
2025
China Geological Survey
2025
Chinese Academy of Sciences
1988-2024
Shenyang Institute of Computing Technology (China)
2018-2024
University of Chinese Academy of Sciences
2018-2024
Qingdao National Laboratory for Marine Science and Technology
2023
Institute of Oceanology
2023
The production process of a smart factory is complex and dynamic. As the core manufacturing management, research into flexible job shop scheduling problem (FJSP) focuses on optimizing decisions in real time, according to changes environment. In this paper, deep reinforcement learning (DRL) proposed solve dynamic FJSP (DFJSP) with random arrival, goal minimizing penalties for earliness tardiness. A double Q-networks (DDQN) architecture state features, actions rewards are designed. soft...
Hydrajet fracturing could be a promising technique for increasing hydrate production; however, the pressure distribution law inside perforation tunnel must first investigated. This study established two-dimensional axisymmetric model of submerged water jet, employing shear-stress transport k - ω turbulence model, to analyze distribution. The examines impact various factors on distribution, including well completion, root diameter, hole diameter casing wall, nozzle drop, confining pressure,...
The problems of CNC machine tool (CNCMT) fault diagnosis and production rescheduling have attracted continuous attention because their great significance to the manufacturing industry. Digital twin is a supporting technology for achieving smart provides new paradigm solving these problems. This paper explores digital twin-driven interaction cooperation framework proposes architecture implementation mechanism enable sharing data, knowledge, resource, realize fusion physical space cyber space,...
As a core manufacturing resource, CNC machine tool acts pivotal part in the new trend of smart manufacturing. Aiming at intelligent demands tool, this paper proposes digital twin modeling framework for tool. Furthermore, semantic model based on ontology is established to solve issues multi-source heterogeneous data fusion and insufficient information, which contributes condition monitoring service fully perceive running status
Abstract Background The combination of anti‐PD‐1 antibody serplulimab and chemotherapy is considered standard first‐line therapy for advanced esophageal squamous cell carcinoma (ESCC), but few later‐line treatments are available. Here we evaluated the therapeutic efficacy recombinant, humanized anti‐EGFR HLX07 when used alone or together with against ESCC. Methods This open‐label, non‐randomized, two‐cohort, phase 2 trial involved patients 18‐75 years old histologically cytologically...
Pulmonary fibrosis is a chronic, progressive, and fatal disease of the interstitial lung. There currently lack efficient therapy to reverse prognosis patients. In this study, fucoidan from Costaria costata was isolated, its anti-idiopathic activity investigated both in vitro vivo. The chemical composition analysis showed that C. polysaccharide (CCP) consists galactose fucose as main monosaccharides with sulfate group content 18.54%. Further study found CCP could resist TGF-β1-induced...
Fog computing has been widely deployed in intelligent production lines to provide real-time services for terminal devices alleviate the transmission problem between cloud and terminal. Nevertheless, when there are many provided a single fog node, how choose an optimal data processing path is challenge minimize optimization latency power consumption while ensuring reliable of with different priorities. To address problems as mentioned above this paper, we first propose joint evaluation model...
As one of the core equipment intelligent manufacturing, condition monitoring CNC machine tool is key manufacturing. In this paper, heterogeneous data standardization specification implemented by establishing an expandable description model, system based on OPC Unified Architecture (OPC UA) designed, which applied to Golding GJ430 for test verification, and communication NC implemented.
Abstract Denosumab is a human IgG2 monoclonal antibody against receptor activator of nuclear factor kappa‐B ligand (RANKL) for the treatment osteoporosis and bone loss. HLX14 proposed biosimilar denosumab. This randomized, parallel‐group, two‐part, phase I study aimed to compare pharmacokinetics, pharmacodynamics, safety, immunogenicity with reference denosumab in Chinese healthy adult male participants. In Part 1, participants were randomized 1:1 given or sourced from European Union (EU)....
Mobility makes node localization more difficult and influences accuracy greatly for Wireless Sensor Network (WSN). Static algorithms cannot perform well in mobile WSN. As a range-free algorithm WSN, Monte Carlo Localization Boxed (MCB) localizes the unknown by exploiting node's mobility calculating mean value of current location samples. In MCB algorithm, samples are selected sample boxes randomly purposelessly. When anchor nodes' density WSN is small after several iterative times, would...
Pulmonary fibrosis is a chronic, progressive and fatal disease of the interstitial lung， there still lack efficient therapy to reverse prognosis patients currently. In this study, fucoidan from Costaria costata was isolated its anti-idiopathic activity investigated both in vitro vivo. The chemical composition analysis results show that polysaccharide (CCP) consisting galactose fucose as main monosaccharides with sulfate group content 18.54%. found CCP could resist TGF-β1-induced...
4029 Background: Esophageal cancer is one of the most common cancers worldwide with esophageal squamous cell carcinoma (ESCC) being predominant histological subtype. Most patients are diagnosed at advanced stage, and prognosis remains poor. About 40–84% ESCC cases showed overexpression EGFR which was related to shorter overall survival disease-free survival, indicating that treatment targeting could be a new strategy. This study aimed evaluate efficacy safety HLX07, novel recombinant...
Background HLX02, the first China-manufactured trastuzumab biosimilar, is approved in Europe (EU) and China. This study evaluated bioequivalence between HLX02 US-approved (US-trastuzumab).Method In this double-blind, parallel-group, Phase I study, healthy Chinese men were randomized (1:1:1) to receive a single 6 mg/kg dose of reference US-trastuzumab, or EU-approved (EU-trastuzumab). Equivalence PK profiles was demonstrated if 90% confidence intervals (CIs) for geometric mean ratio (GMR)...