A5100743206- Monoclonal and Polyclonal Antibodies Research
- Parallel Computing and Optimization Techniques
- Interconnection Networks and Systems
- Advanced Data Storage Technologies
- Cloud Computing and Resource Management
- Advanced Memory and Neural Computing
- Botulinum Toxin and Related Neurological Disorders
- Neurological disorders and treatments
- Hereditary Neurological Disorders
- Bacteriophages and microbial interactions
- SARS-CoV-2 and COVID-19 Research
- CAR-T cell therapy research
- Advanced Neural Network Applications
- Protein purification and stability
- Radiation Effects in Electronics
- Brain Tumor Detection and Classification
- Stochastic Gradient Optimization Techniques
- Immunotherapy and Immune Responses
- Recommender Systems and Techniques
- Reproductive Biology and Fertility
- Software System Performance and Reliability
- Advanced battery technologies research
- Distributed and Parallel Computing Systems
- Nanofabrication and Lithography Techniques
- VLSI and Analog Circuit Testing
Huaiyin Normal University
2024-2025
Alibaba Group (United States)
2018-2025
Alibaba Group (China)
2021-2024
Shihezi University
2022
University of California, San Francisco
2010-2021
San Francisco General Hospital
2018-2021
Institute of Computing Technology
2009-2018
Beijing University of Chinese Medicine
2016
Chinese Academy of Sciences
2000-2015
East China University of Science and Technology
2015
Coronaviruses cause severe human viral diseases including SARS, MERS and COVID-19. Most recently SARS-CoV-2 virus (causing COVID-19) has led to a pandemic with no successful therapeutics. The infection relies on trimeric spike (S) proteins facilitate entry into host cells by binding ACE2 receptor cell membranes. Therefore, blocking this interaction antibodies are promising agents against SARS-CoV-2. Here we describe using humanized llama antibody VHHs that would overcome the limitations...
Abstract SARS-CoV-2 is a newly emergent coronavirus, which has adversely impacted human health and led to the COVID-19 pandemic. There an unmet need develop therapies against due its severity lack of treatment options. A promising approach combat through neutralization by therapeutic antibodies. Previously, we described strategy rapidly identify generate llama nanobodies (VHH) from naïve synthetic humanized VHH phage libraries that specifically bind S1 spike protein, block interaction with...
A machine-learning-designed cerium-iron MOF layer enhances Zn anode stability, achieving over 4300 hours at 1 mA cm −2 and 99.8% coulombic efficiency 1400 cycles 2 , providing a cost-effective protective strategy.
Deep neural networks (DNNs) have gained tremendous attractions as compelling solutions for applications such image classification, object detection, speech recognition, and so forth. Its great success comes with excessive trainings to make sure the model accuracy is good enough those applications. Nowadays, it becomes challenging train a DNN because of 1) size data keep increasing, which usually needs more iterations train; 2) algorithms evolve rapidly, requires training phase be short quick...
The limited write endurance of phase change random access memory (PRAM) is one the major obstacles for PRAM-based main memory. Wear leveling techniques were proposed to extend its lifetime by balancing writes traffic. Another important concern that need be considered variation in PRAM chips. When different cells have distinct endurance, balanced will result degradation due weakest cells. Instead traffic, this paper we propose wear rate (WRL), a variant leveling, balance rates (i.e.,...
ABSTRACT At fertilization in mammals, the sperm activates egg by inducing a series of oscillations intracellular free Ca2+ concentration. There is evidence showing that this oscillatory event triggered sperm-derived protein factor which diffuses into cytoplasm after gamete membrane fusion. present identity and its precise mechanism action unknown. Here, we studied specificity triggering mammalian eggs. In doing so, examined patterns signaling mouse eggs, zygotes, parthenogenetic eggs...
Abstract SARS-CoV-2 and its variants have persisted in this ongoing COVID-19 pandemic. While the vaccines greatly reduced cases, hospitalizations, death, about half of world remain unvaccinated due to various reasons. Furthermore, duration immunity gained from vaccination is still unclear. Therefore, there a need for innovative prophylactic treatment measures. In response need, we previously reported on successful computer-aided development potent VHH-based multispecific antibodies that were...
The exploding growth of digitalized information has led to the rapid data centers, both in numbers and size. Cluster been dominating system architecture used most centers. However, increasingly diversified center applications have requirements beyond what cluster can deliver. For instance, clouding computing requires flexible sharing all resources. Big often need large memory capacity. A few use GPGPU effectively. Existing might be extended a certain degree meet those needs. Those extensions...
Existing antibodies (Abs) used to treat botulism cannot enter the cytosol of neurons and bind botulinum neurotoxin (BoNT) at its site action, thus reverse paralysis. However, Abs targeting proteolytic domain toxin could inhibit activity intracellularly potentially intoxication, if they be delivered intracellularly. As such, that neutralize serve as potent inhibitory cargos for therapeutic antitoxins against botulism. BoNT serotype B (BoNT/B) contains a zinc endopeptidase light chain (LC)...
The development of personalized recommendation has significantly improved the accuracy information matching and revenue e-commerce platforms. Recently, it two trends: 1) recommender systems must be trained timely to cope with ever-growing new products ever-changing user interests from online marketing social network; 2) state-of-the-art models introduce deep neural network (DNN) modules improve prediction accuracy. Traditional CPU-based cannot meet these trends, GPU-centric training become a...
Pre-training methods with contrastive learning objectives have shown remarkable success in dialog understanding tasks. However, current solely considers the self-augmented samples as positive and treats all other negative ones, which enforces dissimilar representations even for dialogs that are semantically related. In this paper, we propose SPACE-2, a tree-structured pre-trained conversation model, learns from limited labeled large-scale unlabeled corpora via semi-supervised pre-training....
The paralytic disease botulism is caused by botulinum neurotoxins (BoNT), multi-domain proteins containing a zinc endopeptidase that cleaves the cognate SNARE protein, thereby blocking acetylcholine neurotransmitter release. Antitoxins currently used to treat neutralize circulating BoNT but cannot enter, bind or has already entered neuron. light chain domain (LC) of serotype A (BoNT/A) was targeted for generation monoclonal antibodies (mAbs) could reverse paralysis resulting from...
The limited write endurance is one of the major obstacles for phase-change random access memory (PRAM)-based main memory. Traditionally, wear-leveling (WL) techniques were proposed to enhance its lifetime by balancing traffic. However, these do not concern variation in PRAM chips. When different cells have distinct endurance, balanced writes results degradation due weakest cells. In this paper, we first define a new metric-wear rate (i.e., writes/endurance) considering both traffic and...
Distributed systems have been widely adopted for deep neural networks model training. However, the scalability of distributed training is largely bounded by communication cost. We design a highly efficient collective library, namely Alibaba Collective Communication Library (ACCL), to build with linear scalability. ACCL provides optimized algorithms fully make use heterogeneous interconnects simultaneously. And experimental results show significant performance improvement.
Carbon emission reduction (CER) is increasingly becoming a global issue. This study explored the impact mechanism of upgrading consumption structure (UCS) and human capital level (HC) on carbon emissions, an empirical test was carried out using provincial panel data from 2000 to 2019 in China. The results show following: (1) China’s UCS could significantly curb emissions. (2) At present, HC positively correlated with higher capital, less conducive CER. Additionally, moderating effect inhibit...
Clean, undamaged carbon fibers were easily separated from thermoset epoxy-based fiber reinforced polymers through a two-step solvothermal method by using propanol or benzyl alcohol as solvents. The recovered characterized thermal gravity analysis, Fourier transform infrared spectroscopy, scanning electron microscopy, and mechanical tensile strength tests together with the digital photos. Results show that temperature duration, well pretreatment in dichloromethane play important roles...
Consolidated server racks are quickly becoming the backbone of IT infrastructure for science, engineering, and business, alike. These servers still largely built organized as when they were distributed, individual entities. Given that many fields increasingly rely on analytics huge datasets, it makes sense to support flexible resource utilization across improve cost-effectiveness performance. We introduce Venice, a family data-center architectures builds strong communication substrate...