A5082547392- Innovative Microfluidic and Catalytic Techniques Innovation
- Advanced Antenna and Metasurface Technologies
- 3D Printing in Biomedical Research
- Antenna Design and Analysis
- Advanced Sensor and Control Systems
- Fusion materials and technologies
- Electrochemical Analysis and Applications
- Additive Manufacturing and 3D Printing Technologies
- Metamaterials and Metasurfaces Applications
- Advanced Materials Characterization Techniques
- Anaerobic Digestion and Biogas Production
- Advanced materials and composites
- Gas Sensing Nanomaterials and Sensors
- Metal and Thin Film Mechanics
- Metal Alloys Wear and Properties
- Transportation Planning and Optimization
- Wastewater Treatment and Nitrogen Removal
- High-Temperature Coating Behaviors
- Surface Modification and Superhydrophobicity
- High Entropy Alloys Studies
- Advanced Wireless Communication Technologies
- X-ray Diffraction in Crystallography
- Acoustic Wave Resonator Technologies
- Advanced Measurement and Metrology Techniques
- Microgrid Control and Optimization
Capital Medical University
2024-2025
Beijing Anding Hospital
2025
Southwest University
2025
Beijing Jiaotong University
2025
Nantong University
2024
Sun Yat-sen University
2013-2024
Tsinghua University
2021-2024
University of Science and Technology of China
2022-2024
The University of Sydney
2020-2024
Chongqing University
2024
Orodispersible films (ODFs) are promising drug delivery systems for customized medicines as it provide an alternative approach to increase consumer acceptance by advantages of rapid dissolution and administration without water. The aim this study was develop a platform support the realization tailored treatments suitable extemporaneous production ODFs semi-solid extrusion (SSE) 3D printing (3DP). Hydroxypropyl methyl cellulose (HPMC) used polymer ODFs, levocetirizine hydrochloride model...
Understanding protein function is pivotal in comprehending the intricate mechanisms that underlie many crucial biological activities, with far-reaching implications fields of medicine, biotechnology, and drug development. However, more than 200 million proteins remain uncharacterized, computational efforts heavily rely on structural information to predict annotations varying quality. Here, we present a method utilizes statistics-informed graph networks functions solely from its sequence. Our...
We propose a nearby traffic flow modelling solution based on built-in Cyber-Physical System (CPS) sensors of autonomous vehicles. Our goal is to enhance the offline route planning and driving decision adjustment first-hand information, especially during poor Internet connection moments. Specifically, our model helps select optimal speed road, distance for timing brake, safe from other vehicles keep. Moreover, can also assist neighboring by communicating required information through Ad-Hoc...
Individualized medicine is a new direction in the field of modern pharmacy. In this study, we assessed feasibility and accuracy 3D printing techniques for preparation individualized doses mouth-disintegrating tablets warfarin. Warfarin sodium, D-sucrose, pregelatinized starch, povidone K30, microcrystalline cellulose, silicon dioxide (at ratio 1:42.45:46.15:5.1:4.9:0.4) were mixed used as powder printer; preset parameters used. The dosage tablet was controlled by number layers. content, dose...
Cardiovascular diseases (CVDs) marked with cardiac morphological or hemodynamical abnormalities are associated mild cognitive impairment (MCI). The links between structure and function MCI not well understood. We aimed to explore the association echocardiographic parameters of in CVD patients. conducted an age-, gender-, education level-matched case–control study general participants a 1:3 ratio (Montreal Cognitive Assessment [MoCA] score < 26 Mini-Mental State Examination [MMSE] ≥ 24)...
This paper takes the innovative trend of artificial intelligence (AI) technology as a starting point to explore its profound impact on high-quality development foreign trade. The article first clarifies connotation and evaluation indicators trade development, then reviews global dynamics AI core application scenarios. Based technology-driven theory, diffusion innovations value chain reconfiguration theoretical framework for integration is constructed. analyzes empowering effects in key areas...
The microstructure, martensitic transformation (MT), mechanical properties, and shape memory effect (SME) of Ni 42− x Mn 36 In 14 Co 6 Cu 2 Al ( = 0.3, 0.6, 0.9, 1.4) alloys are systematically examined. results indicate that the MT temperature, hysteresis magnetization difference intensity vary significantly with content changes. For 0.3 occurred near room temperature. As increased, precipitates transitioned from being localized at grain boundaries to dispersed throughout entire matrix,...
Innovation is the first driving force to lead development, which core competitiveness of enterprise, and employees enterprise will directly affect innovation ability enterprise. This paper investigates relationship between employee satisfaction corporate by combining data related results China's Best Employer Year, basic information listed companies, financial governance data. A two-way fixed-effects model regression analysis reveals that positively capability. In addition, further tests...
Wall-jet/thin-layer amperometric electrochemical detection (ECD) coupled with high-performance liquid chromatography (HPLC) was used here for the simultaneous analysis of dopamine (DA) and homovanillic acid (HVA) at a glassy carbon electrode. Compared conventional thin-layer mode wall-jet mode, presented wall-jet/thin-layer ECD has advantages enhanced capture electroactive DA HVA on working electrode to give responses more convenient washing/refreshment surface. Under optimized conditions,...
The CAMECA Invizo 6000 atom probe microscope uses ion optics that differ significantly from the local electrode (LEAP). It dual antiparallel deep ultraviolet lasers, a flat counter electrode, and series of accelerating decelerating lenses to increase field-of-view specimen without reducing mass resolving power. In this work we characterise performance using three material case studies: model Al-Mg-Si alloy, commercially-available Ni-based superalloy, Zr combination air vacuum-transfer...
Abstract Background Screen the priority of emerging contaminants (ECs) from sediments is essential for risk assessment to aquatic environment and human health. Currently, approaches mainly focus on contaminant identification, exposure analysis, assessment, hazard properties. However, there still far reality due to, instance, limitations lack occurrence data uncertainty analysis. In this study, multi-criteria screening method basis potential (HP) (EP) integrating with analysis was developed...