A5101774809- Contact Mechanics and Variational Inequalities
- RNA and protein synthesis mechanisms
- Composite Structure Analysis and Optimization
- Numerical methods in engineering
- Viral Infectious Diseases and Gene Expression in Insects
- Mechanical stress and fatigue analysis
- Transgenic Plants and Applications
- Geotechnical and Geomechanical Engineering
- CRISPR and Genetic Engineering
- Bladed Disk Vibration Dynamics
- Particle physics theoretical and experimental studies
- Radiation Detection and Scintillator Technologies
- Genomics and Phylogenetic Studies
- Dark Matter and Cosmic Phenomena
- Metal Forming Simulation Techniques
- RNA modifications and cancer
- Vibration and Dynamic Analysis
- Bacterial Genetics and Biotechnology
- Atomic and Subatomic Physics Research
- RNA Research and Splicing
- Astrophysics and Cosmic Phenomena
- Structural Health Monitoring Techniques
- Neutrino Physics Research
- Adhesion, Friction, and Surface Interactions
- Soil, Finite Element Methods
Tsinghua University
1986-2025
Institut de Biologie systémique et synthétique
2024-2025
Center for Information Technology
2025
The China Dark Matter Experiment Collaboration reports the first experimental limit on weakly interacting massive particles (WIMPs) dark matter from 14.6 kg-days of data taken with a 994 g p-type point-contact germanium detector at Jinping underground laboratory where rock overburden is more than 2400 m. energy threshold achieved was 400 eVee. According to kg-day live data, we placed...
Promoters with desirable properties are crucial in biotechnological applications. Generative AI (GenAI) has demonstrated potential creating novel synthetic promoters significantly enhanced functionality. However, these methods' reliance on various programming frameworks and specific task-oriented contexts limits their flexibilities. Overcoming limitations is essential for researchers to fully leverage the power of GenAI design tasks.
Regulatory sequences encode crucial gene expression signals, yet the sequence characteristics that determine their functionality across species remain obscure. Deep generative models have demonstrated considerable potential in various inverse design applications, especially engineering genetic elements. Here, we introduce DeepCROSS, a artificial intelligence framework for of cross-species and species-preferred 5' regulatory bacteria. DeepCROSS constructs meta-representation using 1.8 million...
Abstract Summary Cis-acting mRNA elements play a key role in the regulation of stability and translation efficiency. Revealing interactions these their impact plays crucial understanding process, which supports development mRNA-based medicine or vaccines. Deep neural networks (DNN) can learn complex cis-regulatory codes from RNA sequences. However, extracting efficiently DNN remains significant challenge. Here, we propose method based on our toolkit NeuronMotif motif mutagenesis, not only...
Based on a variational method adopting the dynamic pressure in fluid and acceleration solid as arguments functional, several substructure-subdomain methods are developed to describe dynamical behaviour of fluid-structure systems excited externally. Formulations presented displacement consistency model hybrid for structure, equilibrium mixed interacting system. These substructure—subdomain make finite-element approaches analyse fluid-solid interactions more effective efficient especially...
A large high-altitude air-shower observatory (LHAASO) is to be built at Shangri-La, Yunnan Province, China. This intended conduct sub-TeV gamma astronomy, and as an important component of the LHAASO project, a water Cherenkov detector array (WCDA) proposed. To investigate engineering issues fully understand technique for detecting air showers, prototype 1% scale LHAASO-WCDA has been Yang-Ba-Jing, Tibet, paper introduces setup studies its performance by counting rate each photomultiplier tube...