A5038516900- Advanced Photocatalysis Techniques
- ZnO doping and properties
- Ga2O3 and related materials
- Quantum Dots Synthesis And Properties
- Gas Sensing Nanomaterials and Sensors
- Copper-based nanomaterials and applications
- ECG Monitoring and Analysis
- Pharmacological Effects and Assays
- Insect and Pesticide Research
- Pesticide Residue Analysis and Safety
- Finite Group Theory Research
- Advanced Research in Science and Engineering
- Advanced Neural Network Applications
- Infrared Target Detection Methodologies
- Tribology and Wear Analysis
- Geoscience and Mining Technology
- Viral Infectious Diseases and Gene Expression in Insects
- EEG and Brain-Computer Interfaces
- 2D Materials and Applications
- Visual Attention and Saliency Detection
- Long-Term Effects of COVID-19
- Simulation and Modeling Applications
- Diphtheria, Corynebacterium, and Tetanus
- High-Voltage Power Transmission Systems
- Respiratory Support and Mechanisms
Tsinghua University
2002-2025
Columbia University
2025
Chinese Academy of Agricultural Sciences
2024-2025
Institute of Plant Protection
2024-2025
Tianjin Agricultural University
2025
Zhengzhou University
2025
Hangzhou Dianzi University
2025
National Engineering Research Center for Information Technology in Agriculture
2024
Beijing HuiLongGuan Hospital
2024
Peking University
2024
Severe eosinophilic chronic rhinosinusitis with nasal polyps (ECRSwNP) remains the most relapsed subtype of uncontrolled CRSwNP. CM310, a humanised anti-interleukin (IL)-4 receptor alpha monoclonal antibody, inhibits IL-4 and IL-13 signaling which underlying inflammation. This study aims to evaluate efficacy safety CM310 in patients severe ECRSwNP.A multicentre, randomised, double-blind, placebo-controlled phase 2 clinical trial was conducted. 56 eligible adult ECRSwNP were randomised 1:1...
Abstract Objective . The biggest advantage of steady-state visual evoked potential (SSVEP)-based brain–computer interface (BCI) lies in its large command set and high information transfer rate (ITR). Almost all current SSVEP–BCIs use a computer screen (CS) to present flickering stimuli, which limits flexible actual scenes. Augmented reality (AR) technology provides the ability superimpose stimuli on real world, it considerably expands application scenarios SSVEP–BCI. However, whether...
Electrocardiogram (ECG) is a non-invasive, simplest and fastest way to diagnose myocardial infarction (MI). Although different methods have been leveraged based upon deep learning covered by existing studies, the spatial-temporal relationship in lead between leads has not deeply analyzed. To address issue, novel multi-lead branch with residual network integrated squeeze excitation networks bidirectional long short-term memory model named MLB-ResNet-SENet-BL was presented. Firstly, spatial...
Transition to in vitro alternative methods from vivo vaccine release testing and characterization, the implementation of consistency approach, a drive towards international harmonization regulatory requirements are most pressing needs field vaccines. It is critical for global community work together secure effective progress animal welfare ensure that vaccines ever higher quality can reach populations need shortest possible timeframe. Advancements field, case studies, experiences Low Middle...
Abstract The detection rate of imidacloprid (IMI) in agro‐products are increasing annually, posing negative effects on food safety and human health. A sensitive portable dual‐mode lateral flow immunoassay (LFIA) method, combined with the smartphone, has been established to monitor IMI residues agro‐products. Optimal conditions were achieved 0.4 mg/mL coating antigen 4 μg/mL monoclonal antibody. limit (LOD) for qualitative analysis naked‐eye observation was determined be 25 ng/mL. For...
<title>Abstract</title> Deep Learning has emerged as one of the most significant innovations in machine learning. However, a notable limitation this field lies black box decision-making processes, which have led to skepticism within groups like healthcare and scientific communities regarding its applicability. In response, study introduces interpretable approach using Neural Ordinary Differential Equations (NODEs), category neural network models that exploit dynamics differential equations...
We present a novel approximation algorithm for $k$-median that achieves an guarantee of $1+\sqrt{3}+\epsilon$, improving upon the decade-old ratio $3+\epsilon$. Our approach is based on two components, each which, we believe, independent interest. First, show in order to give $\alpha$-approximation $k$-median, it sufficient \emph{pseudo-approximation algorithm} finds $\alpha$-approximate solution by opening $k+O(1)$ facilities. This rather surprising result as there exist instances which...
Antibiotic abuse in the conventional treatment of microbial infections, such as inflammatory bowel disease, induces cumulative toxicity and antimicrobial resistance which requires development new antibiotics or novel strategies for infection control. Crosslinker-free polysaccharide-lysozyme microspheres were constructed via an electrostatic layer-by-layer self-assembly technique by adjusting assembly behaviors carboxymethyl starch (CMS) on lysozyme subsequently outer cationic chitosan (CS)...
Small object detection is one of the most challenging and non-negligible fields in computer vision. Inspired by location–focus–identification process avian visual system, we present our location-focused small-object-detection algorithm for video or image sequence, OTNet. The model contains three modules corresponding to forms saliency, which drive strongest response OT calculate saliency map. are responsible temporal–spatial feature extraction, spatial extraction memory matching,...