A5100780982- COVID-19 epidemiological studies
- Topic Modeling
- Cloud Computing and Resource Management
- COVID-19 Pandemic Impacts
- Zoonotic diseases and public health
- Grey System Theory Applications
- Direction-of-Arrival Estimation Techniques
- Caching and Content Delivery
- Indoor and Outdoor Localization Technologies
- Advanced Data Storage Technologies
- E-commerce and Technology Innovations
- Graph Theory and Algorithms
- Nail Diseases and Treatments
- Drug Transport and Resistance Mechanisms
- Credit Risk and Financial Regulations
- Digital Media and Visual Art
- Web Data Mining and Analysis
- Financial Distress and Bankruptcy Prediction
- Artificial Intelligence in Healthcare
- Global Trade and Competitiveness
- Mathematical and Theoretical Epidemiology and Ecology Models
- Gene expression and cancer classification
- Advanced Graph Neural Networks
- Trace Elements in Health
- Misinformation and Its Impacts
University of Electronic Science and Technology of China
2019-2024
Alibaba Group (United States)
2024
Alibaba Group (China)
2023-2024
Zhejiang Sci-Tech University
2024
National Institute of Biological Sciences, Beijing
2023
Xi'an High Tech University
2022-2023
Fudan University
2005-2022
Huashan Hospital
2022
Shanghai Jiao Tong University
2022
Beijing Normal University
2020
Emerging cloud-native distributed databases rely on local NVMe SSDs to provide high-performance and highavailable data services many cloud applications. However, the database clusters suffer from low utilization of storage because imbalance between CPU capacities within each node. For instance, OceanBase cluster, with hundreds PB capacity, only utilizes around 40% its storage. Although disaggregated (EBS) can enhance by provisioning independently demand, they performance bottlenecks high...
Objective: The number of confirmed and suspected cases the COVID-19 in Hubei province is still increasing. However, estimations basic reproduction varied greatly across studies. objectives this study are 1) to estimate (R(0)) reflecting infectiousness virus 2) assess effectiveness a range controlling intervention. Methods: reported daily from January 17 February 8, 2020 were collected used for model fit. Four methods, exponential growth (EG), maximum likelihood estimation (ML), sequential...
Significance There is a lack of global observational data to monitor the application nonpharmaceutical interventions (NPI) and evaluate effect NPIs for pandemic management in different territories. We find that economic activity reduction inferred from NO 2 driver case deceleration most The effect, however, not linear but dampens over time, further reductions are only associated with weaker deceleration. Over winter 2020/2021, nearly 1 million daily COVID-19 cases could have been avoided by...
Breast cancer is the most common cause of among women worldwide. This paper analyses performance supervised and unsupervised models for breast classification. Data from Wisconsin Cancer Dataset used in this paper. Feature selection processed through scaling principal component analysis. Final results indicate that Ensemble Voting approach ideal as a predictive model cancer. The raw data has 569 cases split into training testing sets ration 70:30, respectively. benchmark then created using...
Abstract Background The 2019 novel Coronavirus (COVID-19) emerged in Wuhan, China December and has been spreading rapidly China. Decisions about its pandemic threat the appropriate level of public health response depend heavily on estimates basic reproduction number assessments interventions conducted early stages epidemic. Methods We a mathematical modeling study using five independent methods to assess (R0) COVID-19, data confirmed cases obtained from National Health Commission for period...
Background: The 2019 novel Coronavirus (COVID-19) emerged in Wuhan, China December and has been spreading rapidly China. Decisions about its pandemic threat the appropriate level of public health response depend heavily on estimates basic reproduction number assessments interventions conducted early stages epidemic. Methods: We a mathematical modeling study using five independent methods to assess (R0) COVID-19, data confirmed cases obtained from National Health Commission for period 10th...
A new signal processing algorithm proposed here is aimed at estimating five-dimensional (5-D) polarization-space-time (polarization, angle, delay) channel parameters for a tri-polarized system that works in multipath environment. Unlike most estimation algorithms, where spatially spread antenna arrays are deployed, our designed spatial col-located tripole antenna. third-order tensor model firstly established the channel. This subsequently solved by exploiting low-rank decomposition...
Except for extensive studies in core formation and volatile-element depletion processes using radiogenic Ag isotopes (i.e., the Pd-Ag chronometer), recent research has revealed that mass fractionation of silver is principle controlled by physicochemical (e.g., evaporation, diffusion, chemical exchange, etc.) during magmatic emplacement hydrothermal alteration. As these geologic only produce very minor variations δ109Ag from -0.5 to +1.1‰, more accurate precise measurements are required. In...
Abstract Targeting the problem of high real-time requirements in astronomical data processing, this paper proposes a early warning model for light curves based on Gated Recurrent Unit (GRU) network. Using memory function GRU network, prediction curve is established, and trained using collected data, so that can predict star magnitude value next moment historical data. In paper,we calculate difference between actual observation set threshold. If exceeds threshold, at considered to be an...
NVMe(Non-Volatile Memory Express) is an industry standard for solid-state drives (SSDs) that has been widely adopted in data centers. NVMe virtualization crucial cloud computing as it allows virtualized devices to be used by virtual machines (VMs), thereby improving the utilization of storage resources. However, traditional software-based solutions have flexibility benefits but often come at cost performance degradation or high CPU overhead. On other hand, hardware-assisted offer and low...
According to the status quo that China's cross-border e-commerce is expanding rapidly, we selected total imports and exports of from 2008 2015 with a view make some predictions. Firstly, using Grey System Theory, partly establish GM(1,1) model DGM(1,1) forecast analyze next five years' e-commerce. Secondly, compare two types models actual values calculate residual difference. Finally, choose one whose difference smaller as better which could lead more valid precise prediction results in...
Time questions involve explicit and implicit constraints as well complex time interval interactions, making them critical criteria for measuring the effect of knowledge base question answering. Although attention to temporal has spurred development graphs, existing studies have focused on simple splicing fusion information with or embeddings, losing sight hidden interaction features between embedded vectors. In this paper, we proposed TERQA, a question-answering approach explore precise...
NVMe over Fabrics (NVMe-oF) has been widely applied as a remote storage protocol in cloud computing. The existing NVMe-oF software stack consumes large number of CPU resources. Emerging devices, such Smart NICs and DPUs, have supported hardware offloading to free these valuable cores. However, capacity is always compromised because limited resources on design. Additionally, from thorough evaluations, we found that inevitably suffers severe performance degradation complex application I/O...
Recommendation algorithms regard user-item interaction as a sequence to capture the user’s short-term preferences, but conventional cannot information of constantly-changing user interest in complex contexts. In these years, combining knowledge graph with sequential recommendation has gained momentum. The advantages graph-based systems are that more semantic associations can improve accuracy recommendations, rich association facts increase diversity and relational paths hence...
Abstract Reward-based crowdfunding (BRCF) projects as the most popular model, funders expect project owners to deliver promised rewards within specified delivery time. Previous studies examined various factors such level and amount of funding received, category size that might influence reward performance. However, textual information has rarely been studied for analyzing on time or late delivery. The main contribution our research is applying text analytical framework can extract latent...
Answer sorting and filtering are two closely related steps for determining the answer to a question. is designed produce an ordered list of scores based on Top-k contextual criteria. optimizes selection according other criteria, such as range time constraints user expects. However, unclear number answers constraints, well high score false positive results, indicate that traditional methods cannot guarantee quality multi-answer questions. Therefore, this study proposes MATQA, component...