A5107467627- Advanced Battery Materials and Technologies
- Crystallization and Solubility Studies
- X-ray Diffraction in Crystallography
- Advancements in Battery Materials
- Heart Failure Treatment and Management
- Cardiovascular Health and Disease Prevention
- Radar Systems and Signal Processing
- Advanced SAR Imaging Techniques
- Respiratory viral infections research
- Pneumonia and Respiratory Infections
- Robotics and Sensor-Based Localization
- Vitamin C and Antioxidants Research
- SARS-CoV-2 and COVID-19 Research
- MXene and MAX Phase Materials
- Stroke Rehabilitation and Recovery
- Sensor Technology and Measurement Systems
- Microwave Imaging and Scattering Analysis
- Autoimmune Neurological Disorders and Treatments
- Supercapacitor Materials and Fabrication
- Cancer-related molecular mechanisms research
- Currency Recognition and Detection
- Age of Information Optimization
- CNS Lymphoma Diagnosis and Treatment
- Renal Transplantation Outcomes and Treatments
- Microbial Applications in Construction Materials
Guangxi Maternal and Child Health Hospital
2024-2025
Sichuan University
2025
University of Electronic Science and Technology of China
2018-2024
Hunan University of Traditional Chinese Medicine
2021-2024
Chinese University of Hong Kong
2024
Qingdao Municipal Hospital
2024
Qingdao University
2024
Kingmed Diagnostics
2024
Sun Yat-sen University
2024
Tongji University
2024
Solid-state lithium metal batteries (LMBs) are considered as one of the promising contenders for next-generation energy storage systems because their high density and safety performance. Since all-solid-state electrolytes still hampered by low electrical conductivity interfacial incompatibility, gel polymer (GPEs) more preferable with ionic conductivities comparable to liquid at room temperature good contact electrodes. In this study, a high-performance composite GPE semi-interpenetrating...
ABSTRACT Human bocavirus-1 (HBoV1) is an emerging viral pathogen associated with acute respiratory tract infections (ARTIs) in pediatric populations. This study aimed to evaluate the infection status and clinical characteristics of HBoV1 among hospitalized children suffering from ARTIs. A cohort 5,021 patients was analyzed using targeted next-generation sequencing identify other co-existing pathogens. Results indicated a detection rate 8.48%, predominantly infants under 24 months, higher...
ABSTRACT Purpose With the rapid development of artificial intelligence technology, highly intelligent and unmanned factories have become an important trend. In complex environments smart factories, long‐term tracking inspection specified targets, such as operators special products, well comprehensive visual recognition decision‐making capabilities throughout whole production process, are critical components automated factories. However, challenges target occlusion disappearance frequently...
Exosomes are critical mediators of intercellular communication. Exosomal circular RNAs (circRNAs) have been reported to play roles in the development chemoresistance various tumors, including gastric cancer. However, role exosomal circ_0063526 cisplatin (CDDP) resistance cancer is still unclear. The expression circ_0063526, microRNA-449a (miR-449a) and serine hydroxymethyltransferase 2 (SHMT2) mRNA was determined by quantitative real-time PCR (qRT-PCR). Cell viability assessed Counting Kit-8...
Wireless body area network (WBAN) can be applied to a variety of scenarios, such as physical training, patient care, and health monitoring for the aged. To prolong lifetime WBANs respond an emergency, energy efficiency age information (AOI) become two most important performance indicators. The dynamic characteristic makes link quality wireless communication vary intensely, which brings challenges reliability data transmission. Conventional scheduling policies do not take into account AOI...
In recent years, wild morel mushroom species have begun to be widely cultivated in China due their high edible and medicinal values. To parse the ingredients, we employed technique of liquid-submerged fermentation investigate secondary metabolites Morehella importuna. Two new natural isobenzofuranone derivatives (1-2) one orsellinaldehyde derivative (3), together with seven known compounds, including o-orsellinaldehyde (4), phenylacetic acid (5), benzoic (6), 4-hydroxy-phenylacetic (7),...
Transmembrane 6 superfamily member 2 (TM6SF2) E167K variant is closely associated with the occurrence and development of metabolic dysfunction-associated steatotic liver disease (MASLD). However, role mechanism TM6SF2 during MASLD progression are not yet fully understood.
Within the area of environmental perception, automatic navigation, object detection, and computer vision are crucial demanding fields with many applications in modern industries, such as multi-target long-term visual tracking automated production, defect driverless robotic vehicles. The performance has greatly improved recently thanks to developments deep learning algorithms hardware computing capabilities, which have spawned creation a large number related applications. At same time, rapid...
This paper introduces an optimization method for multi-robot automated control welding based on a Particle Swarm Genetic Algorithm (PSGA), aiming to address issues such as high costs, large footprint, and excessive production cycles in lines. The first constructs multi-axis robotic kinematic model provide constraint conditions. Then, the PSO (particle swarm optimization) algorithm, which integrates penalty functions into fitness evaluation, is used determine optimal path by simulating...
Based on molecular targeting, magnetic resonance imaging (MRI) is an ideal noninvasive approach for tumor diagnosis. Construction of targeting probes to enhance the MRI efficacy has become a research hotspot recently. In this study, endoglin aptamer (mEND) nanoprobes based mEND-modified carboxymethyl chitosan (CMCS) nanoparticles (denoted mEND-Fe₃O₄@CMCS) were developed. The mEND-Fe₃O₄@CMCS naoprobe was prepared using mEND as recognition molecule and Fe₃O₄@CMCS carrier hepatocellular...
Composite robots often encounter difficulties due to changes in illumination, external disturbances, reflective surface effects, and cumulative errors. These challenges significantly hinder their capabilities environmental perception the accuracy reliability of pose estimation. We propose a nonlinear optimization approach overcome these issues develop an integrated localization navigation framework, IIVL-LM (IMU, Infrared, Vision, LiDAR Fusion for Localization Mapping). This framework...