A5065741507- Blockchain Technology Applications and Security
- IoT and Edge/Fog Computing
- Caching and Content Delivery
- COVID-19 Clinical Research Studies
- Sepsis Diagnosis and Treatment
- Advanced Malware Detection Techniques
- Long-Term Effects of COVID-19
- Cloud Computing and Resource Management
- Parallel Computing and Optimization Techniques
- COVID-19 diagnosis using AI
- Liver Disease Diagnosis and Treatment
- Diet and metabolism studies
- Green IT and Sustainability
- Adversarial Robustness in Machine Learning
- Image and Signal Denoising Methods
- S100 Proteins and Annexins
- Software Reliability and Analysis Research
- Interconnection Networks and Systems
- Imbalanced Data Classification Techniques
- Face recognition and analysis
- Information and Cyber Security
- Graph Theory and Algorithms
- Cell Adhesion Molecules Research
- Machine Learning and Data Classification
- Chronic Disease Management Strategies
Zunyi Medical University
2022-2025
Huazhong University of Science and Technology
2006-2024
Lanzhou University of Technology
2024
Liuzhou General Hospital
2020
Mobile cloud computing, with its promise to meet the urgent need for richer applications and services of resource-constrained mobile devices, is emerging as a new computing paradigm has recently attracted significant attention. However, there no clear definition well defined scope due commercial hype, diverse ways combining applications. This article makes first attempt present survey from perspective intended usages. Specifically, we introduce three common architectures classify...
The increasing adoption of cloud services is demanding the deployment more data centers. Data centers typically house a huge amount storage and computing resources, in turn dictating better networking technologies to connect large number nodes. center (DCN) an emerging field study challenges In this article, we present survey on enabling DCN for future infrastructures through which resources can be efficiently managed. Specifically, start with detailed investigation architecture,...
Nowadays, by integrating the cloud radio access network (C-RAN) with mobile edge computing (MEC) technology, service provider (MSP) can efficiently handle increasing traffic and enhance capabilities of devices. But power consumption has become skyrocketing for MSP it gravely affects profit MSP. Previous work often studied in C-RAN MEC separately while less had considered integration MEC. In this paper, we present an unifying framework power-performance tradeoff jointly scheduling resources...
Lactate is a byproduct of glycolysis, and before the Warburg effect was revealed (in which glucose can be fermented in presence oxygen to produce lactate) it considered metabolic waste product. At present, lactate not only recognized as substrate that provides energy, but also signaling molecule regulates cellular functions under pathophysiological conditions. Lactylation, post‑translational modification, involved development various diseases, including inflammation tumors. Liver disease...
Abstract High-fat diet (HFD) is widely used in animal models of many diseases, it helps to understand the pathogenic mechanism related diseases. Several dietary fats were commonly HFD, such as corn oil, peanut soybean sunflower and lard. However, was reported that different fat could have completely effects on physiological indicators gut microbiome, sources high-fat research not been comprehensively compared. In this research, we conduct comparative experiments various test their during...
Background The outbreak of coronavirus disease 2019 (COVID-19) has become a global public health concern. Many inpatients with COVID-19 have shown clinical symptoms related to sepsis, which will aggravate the deterioration patients’ condition. We aim diagnose Viral Sepsis Caused by SARS-CoV-2 analyzing laboratory test data patients and establish an early predictive model for sepsis risk among COVID-19. Methods This study retrospectively investigated 2,453 from electronic records. Extreme...
The recent wave of in-browser cryptojacking has ebbed away, due to the new updates mainstream cryptocurrrencies, which demand level mining resources browsers cannot afford. As replacements, resource-rich, loosely protected free Internet services, such as Continuous Integration (CI) platforms, have become attractive targets. In this paper, we report a systematic study on real-world illicit cryptomining public CI platforms (called Cijacking). Unlike cryptojacking, Cijacks masquerade jobs and...
Partial discharge evaluation is a principal method for assessing insulation conditions in power transformers. Traditional singular value decomposition (SVD) approaches, however, face issues like high residual noise and loss of signal details white suppression. This article introduces an advanced denoising algorithm integrating SVD, variational mode (VMD), wavelet thresholding to effectively address mixed on-site transformer assessments. The initially employs SVD suppress noise, specifically...
To satisfy the rapid growth of cloud technologies, a large number web applications have been developed and deployed, these are being run in clouds. Due to scalability provided by clouds, single application may be concurrently visited several millions or billions users. Thus, testing performance evaluations increasingly important. User model based can significantly reduce manual work required, enable us determine under real runtime environments. Hence, it has become one most popular...
Sepsis-associated thrombocytopenia (SAT) is common in critical patients and results the elevation of mortality. Red cell distribution width (RDW) can reflect body response to inflammation oxidative stress. We try investigate relationship between RDW prognosis with SAT through machine learning.809 were retrospectively analyzed from Medical Information Mart for Intensive Care III (MIMIC-III) database. The eXtreme Gradient Boosting (XGBoost) SHapley Additive exPlanations (SHAP) used analyze...
Low-latency I/O services are essential for latency-sensitive workloads when they co-run with throughput-oriented in cloud data centers. Although advanced SSDs such as Intel Optane can offer ultra-low latency at the device layer, interference among various through stack still significantly enlarge latency. It is an open problem to best utilize computing environments.
Wireless capsule endoscopy is a modern non-invasive Internet of Medical Imaging Things that has been increasingly used in gastrointestinal tract examination. With about one gigabyte image data generated for patient each examination, automatic lesion detection highly desirable to improve the efficiency diagnosis process and mitigate human errors. Despite many approaches have proposed, they mainly focus on large lesions are not directly applicable tiny due limitations feature representation....
Positive-unlabeled (PU) learning deals with the circumstances where only a portion of positive instances are labeled, while rest and all negative unlabeled, due to this confusion, class prior can not be directly available. Existing PU methods usually estimate by training nontraditional probabilistic classifier, which is prone give an overestimation. Moreover, these learn decision boundary optimizing minimum margin, suitable in its sensitivity label noise. In paper, we enhance from above two...
Medical data sharing can improve the quality of medical care and promote progress in field public health. However, has high confidentiality complexity. Taking clinical diagnosis treatment Diabetes Mellitus Type 2 (T2DM) as an example, T2DM often phenomenon "multi-disease coexistence" is insecure inaccurate process sharing. Based on Blockchain Attribute- Encryption (ABE), we propose a system to solve above problems. An Attribute-Encryption algorithm T2DM-CP-ABE proposed problem excessive...
Background: Only part of the severe patients with coronavirus disease 2019 (COVID-19) may deteriorate to become critically ill and require aggressive treatments intensive care. We aim develop an early-warning system predict risk clinical deterioration in earlier stage distinguish or without potential risks advance by a systematic, data-driven, analytical approach COVID-19. Methods: This study was designed as single-centre, retrospective, observational for development validation prediction...