A5100335344- Cloud Computing and Resource Management
- IoT and Edge/Fog Computing
- Distributed and Parallel Computing Systems
- Advanced Data Storage Technologies
- Scientific Computing and Data Management
- Blockchain Technology Applications and Security
- Software System Performance and Reliability
- Distributed systems and fault tolerance
- Microbial Metabolites in Food Biotechnology
- Caching and Content Delivery
- Enzyme Production and Characterization
- User Authentication and Security Systems
- Advanced Queuing Theory Analysis
- Peer-to-Peer Network Technologies
- Graph Theory and Algorithms
- Machine Learning in Bioinformatics
- Parallel Computing and Optimization Techniques
- Technology Adoption and User Behaviour
- Cloud Data Security Solutions
- Food composition and properties
- RNA and protein synthesis mechanisms
- Advanced Wireless Network Optimization
- Signaling Pathways in Disease
- Diverse Topics in Contemporary Research
- Gut microbiota and health
State Key Laboratory of Food Science and Technology
2024-2025
Jiangnan University
2024-2025
University of Utah
2022-2024
State Grid Corporation of China (China)
2023
PLA Army Engineering University
2022
Tianjin University of Technology and Education
2020-2022
Hebei University of Technology
2020-2022
Rutgers, The State University of New Jersey
2020-2021
China Academy of Information and Communications Technology
2019-2021
University of Alabama
2021
Abstract AlphaFold2 revolutionized structural biology with the ability to predict protein structures exceptionally high accuracy. Its implementation, however, lacks code and data required train new models. These are necessary (i) tackle tasks, like protein-ligand complex structure prediction, (ii) investigate process by which model learns, remains poorly understood, (iii) assess model’s generalization capacity unseen regions of fold space. Here we report OpenFold, a fast, memory-efficient,...
AlphaFold2 revolutionized structural biology with the ability to predict protein structures exceptionally high accuracy. Its implementation, however, lacks code and data required train new models. These are necessary (1) tackle tasks, like protein–ligand complex structure prediction, (2) investigate process by which model learns (3) assess model's capacity generalize unseen regions of fold space. Here we report OpenFold, a fast, memory efficient trainable implementation AlphaFold2. We...
In the area of IoT (Internet Things), more and intelligent devices are being connected to Internet. These have been producing a huge amout useful data over time, however there is still lack platform which can efficiently transfer utilize value massive data. Blockchain able with relative low cost, makes it possible for from smart create economic value. This work this paper design high performance blockchain platform, using technologies such as distributed network architecture, node mapping,...
Abstract This study mainly aims at the intermediate data fault-tolerant method of cloud computing accounting service platform supporting cost-benefit analysis, which providing analysis function for and strengthening ability platform. The invention discloses a constructing an enterprise Collect internal external system by using network environment provided provider. Transmit to processing storage layer warehouse after cleaning, extraction processing. Then, call collected through analyze...
This study investigated whether the galactooligosaccharide (GOS)-metabolism-related genes (GOS-cluster) in
In Brief OBJECTIVE: To estimate the interrater and intrarater reliability of endometriosis diagnosis severity disease among gynecologic surgeons viewing operative digital images. METHODS: The study population comprised a random sample (n=148 [36%]) women who participated in Endometriosis: Natural History, Diagnosis Outcomes study. Four academic expert four local, specialized reviewed images, diagnosed presence or absence for each woman, rated using revised American Society Reproductive...
In the data center, a server can work in either active state or power-saving state. The power consumption is almost 0, thus it always desirable to allocate as many VMs possible some servers and leave rest order reduce energy of center. this paper, we study such VM allocation problem. Given set each has resource demand (CPU, memory, storage) starting time finishing time, capacity. There an additional cost for switch from are non-homogeneous. problem our concern onto servers, that demands be...
As a newly emerging computing paradigm, edge shows great capability in supporting and boosting 5G Internet-of-things (IoT) oriented applications, e.g., scientific workflows with low-latency, elastic, on-demand provisioning of computational resources. However, the geographically distributed IoT resources are usually interconnected each other through unreliable communications ever-changing contexts, which brings strong heterogeneity, potential vulnerability, instability infrastructures at...
This study aims to explore the key systematic attributes influencing acceptance of gerontechnology by seniors in response global aging and rapid technological progress. A meta-analysis was carried out quantitatively synthesize results 25 empirical studies published from 2010 2020. After standardized coding descriptive statistics, as well tests analysis main effects heterogeneity, publication bias. The following were obtained: Perceived usefulness perceived ease use have a significant...
The function of polysaccharides is intimately associated with their size, which largely determined by the processivity transferases responsible for synthesis. A tunnel active center architecture has been recognized as a key factor that governs several glycoside hydrolases (GHs), e.g., cellulases and chitinases. Similar also observed in
Cloud computing conveys the image of a pool unlimited virtual resources that can be quickly and easily provisioned to accommodate user requirements. However, this flexibility may require adjust physical at infrastructure level keep pace requests. While elasticity considered as de facto solution support issue, still broken by budget requirements or limitations private cloud. In paper, we therefore explore an alternative, yet complementary, problem resource provisioning adopting principles...
There is a trade-off between the number of concurrently running MapReduce jobs and their corresponding map reduce tasks within node in Hadoop cluster. Leaving this statically configured to single value can significantly job response times leaving only sub optimal resource usage. To overcome problem, we propose feedback control loop based approach that dynamically adjusts manager configuration on current state The preliminary assessment workloads synthesized from real-world traces shows...
Update of applications in SaaS is expected to be a continuous efforts and cannot done overnight or over the weekend. In such migration efforts, users are trained shifted from existing version new successively. There long period time when both versions co-exist. Supporting two systems at same not cost efficient option may suffer slow response due synchronization between systems. this paper, we focus on how enable progressive multi-version via evolving schema. Instead maintain systems, our...
In the past years model-based testing (MBT) has become a widely-used approach to test automation in industrial context. Until now application of MBT been limited software quality engineers with very good modelling skills. order guarantee completeness model and increase its precision there is need allow usage by other project stakeholders such as requirements well experience. this contribution we share challenges discovered during several certain technique SCRUM particular regard definition...
Optimizing Hadoop executions has attracted a lot of research contributions in particular the domain self-adaptive software systems. However, these efforts are often hindered by complexity operation and difficulty to reproduce experimental evaluations that makes it hard compare different approaches one another. To address this limitation, we propose acceleration platform for rapid prototyping evaluation behavior clusters. Essentially, provides automated approach provision reproducible...
With the rapid growth of blockchain data, storage cost maintaining full node a is getting higher and higher. This has led to gradual weakening decentralization blockchain, increasing risk 51% attacks on system. Based DHT, we propose expansion mechanism, using Kademlia protocol assign unique ID for every in network, divide entire into several clusters according certain rules, each cluster stores complete nodes only need store small part data. At same time, order reduce pressure cluster,...
Consider a centralized system where requests for authentication arrive from different users. The has multiple methods available and controller must decide how to assign method each request. We analyze the dynamics using queueing models propose stochastic dynamic control methodology assigning incoming tasks. consider three performance measures: usability, operating cost, security. model trade-offs between these measures cost-based approach constraints-based approach, derive structural...