A5026472040- Blockchain Technology Applications and Security
- Computational Drug Discovery Methods
- RNA Research and Splicing
- Genomics and Chromatin Dynamics
- Immune Cell Function and Interaction
- Privacy-Preserving Technologies in Data
- T-cell and B-cell Immunology
- RNA and protein synthesis mechanisms
- Metabolomics and Mass Spectrometry Studies
- Service and Product Innovation
- Financial Reporting and XBRL
- Plant-based Medicinal Research
- Mobile Crowdsensing and Crowdsourcing
- Big Data Technologies and Applications
- FinTech, Crowdfunding, Digital Finance
- Bioinformatics and Genomic Networks
- Invertebrate Immune Response Mechanisms
- Economic and Technological Systems Analysis
- Parallel Computing and Optimization Techniques
- Peer-to-Peer Network Technologies
- Distributed and Parallel Computing Systems
- Software-Defined Networks and 5G
- Recycling and Waste Management Techniques
- Advanced Data and IoT Technologies
- Opportunistic and Delay-Tolerant Networks
Beijing Union University
2021-2024
Tsinghua University
2012-2023
Center for Life Sciences
2022-2023
King Center
2022
Beijing Advanced Sciences and Innovation Center
2022
Central University of Finance and Economics
2019-2020
In both cancer and infections, diseased cells are presented to human Vγ9Vδ2 T through an 'inside out' signalling process whereby structurally diverse phosphoantigen (pAg) molecules sensed by the intracellular domain of butyrophilin BTN3A11-4. Here we show how-in humans alpaca-multiple pAgs function as 'molecular glues' promote heteromeric association between domains BTN3A1 similar BTN2A1. X-ray crystallography studies visualized that engagement with forms a composite interface for direct...
Blockchain-based product traceability systems are receiving increasing attention from both industry and academia. Existing make full use of the non-modification characteristics blockchain technology realize openness transparency information in entire supply chain. However, existing do not consider government regulation, cannot protect enterprise sensitive private data effectively, have performance bottlenecks. To address these problems, this paper proposes a scheme based on permissioned...
Federated learning is a distributed machine framework that enables model training with local datasets, which can effectively protect the data privacy of workers (i.e., intelligent edge nodes). The majority federated algorithms assume are trusted and voluntarily participate in cooperative process. However, situation practical application not consistent this. There many challenges such as worker selection schemes for participating workers, hamper widespread adoption learning. existing research...
The transformation of old neighborhoods involves many important types livelihood development projects, which smart is considered one the most tasks at present. provides an means to promote sustainable development; however, enhancing willingness residents participate prerequisite for neighborhoods. Considering perceptive value acceptance theory and community ownership in field information management sociology, we study intention communities intelligent its influence mechanisms. Our results...
CpG island promoters often lack canonical core promoter elements such as the TATA box, and have dispersed transcription initiation sites. Despite prevalence of islands associated with mammalian genes, mechanism from remains to be clarified. Here we investigate island-associated gene, insulin-degrading enzyme (IDE). IDE is ubiquitously expressed, has The locates within a 32-bp region, which contains three CGGCG repeats nuclear respiratory factor 1 (NRF-1) binding motif. Sequential mutation...
Although many quantitative structure-activity relationship (QSAR) models are trained and evaluated for their predictive merits, understanding what have been learning is of critical importance. However, the interpretation visualization QSAR model results remain challenging, especially 'black box' such as deep neural network (DNN). Here, we take a step forward to interpret learned chemical features from DNN models, present VISAR, an interactive tool visualizing relationship. VISAR first...
Abstract Tumor cells and pathogen-infected are presented to human γδ T based on “inside-out” signaling in which metabolites called phosphoantigens (pAgs) inside target recognized by the intracellular domain of a butyrophilin protein (BTN3A1), leading an extracellular conformational change. Here, we report that pAgs function as molecular “glues” initiate heteromeric association between domains BTN3A1 structurally similar BTN2A1. Working with both exogenous endogenous pAgs, used x-ray...
With the continuous advancement of cloud computing and satellite communication technology, cloud-network-integrated network has emerged as a novel architecture. This architecture harnesses benefits to achieve global coverage, high reliability, flexible information services. However, business types user demands grow, addressing differentiated Quality Service (QoS) requirements become crucial challenge for networks. Effective resource allocation algorithms are essential meet these QoS...
With the continuous update and iteration of Internet Technology, e-commerce develops rapidly under support national preferential policies. In view advantages Harvard Analysis Framework, this paper conducts an in-depth analysis research on financial statements JD based it. It mainly describes how to analyze data by using three parts strategy analysis, accounting in framework so as make targeted forecast for future development prospect JD. Finally, problems encountered its obtained from...