A5055231461- Injury Epidemiology and Prevention
- Software-Defined Networks and 5G
- Autopsy Techniques and Outcomes
- Trauma and Emergency Care Studies
- Advanced Photonic Communication Systems
- Nanopore and Nanochannel Transport Studies
- Ruminant Nutrition and Digestive Physiology
- Suicide and Self-Harm Studies
- Gun Ownership and Violence Research
- Advanced Optical Network Technologies
- Network Traffic and Congestion Control
- Animal Nutrition and Physiology
- Internet Traffic Analysis and Secure E-voting
- Image Retrieval and Classification Techniques
- Health, Environment, Cognitive Aging
- Neural Networks and Reservoir Computing
- Liver Disease Diagnosis and Treatment
- Environmental and Agricultural Sciences
- Interconnection Networks and Systems
- Climate Change and Health Impacts
- Urban Transport and Accessibility
- Cardiovascular Health and Risk Factors
- Advanced Graph Neural Networks
- Peroxisome Proliferator-Activated Receptors
- Cerebrovascular and Carotid Artery Diseases
University of Shanghai for Science and Technology
2023
Zhuhai People's Hospital
2007-2022
University of Science and Technology of China
2019-2021
Shandong Agricultural University
2018-2021
Center for Disease Control
2015-2020
Huazhong University of Science and Technology
2020
First Affiliated Hospital of Kunming Medical University
2017
Kunming Medical University
2017
Yanbian University
2005-2013
Jilin Academy of Agricultural Sciences
2013
It is known that by leveraging programmable data plane, in-band network telemetry (INT) can be realized to provide a powerful and promising method collect realtime statistics for monitoring troubleshooting. However, existing INT implementations still exhibit few drawbacks such as lack of runtime-programmability relatively high overheads due per-packet operation. In this work, we propose design runtime-programmable selective system, namely, Sel-INT, resolve these issues. Specifically, first...
The patterns and risk factors of intentional injuries compared to unintentional among Chinese children adolescents have not been examined in depth. This work comprehensively describes China, for which little information has previously published.All cases involving individuals 0-17 years old registered at emergency rooms outpatient clinics were using data submitted the National Injury Surveillance System from 2006 through 2017. A logistic regression model was performed explore related...
Recently, with the development of IP and elastic optical networks (EONs), network control management (NC&M) scheme for IP-over-EONs, which can facilitate effective cross-layer orchestration (XLyr-O), has become an interesting but challenging research topic. In this paper, we consider a software-defined IP-over-EON (SD-IPoEON), leverage deep learning (DL) to analyze predict traffic fluctuation on established lightpaths in it, design proactive DL-assisted XLyr-O scheme. Specifically, study...
To better provision fast-emerging network applications with various quality-of-service demands, datacenter (DCN) operators need an effective orchestration scheme that can coordinate IT and bandwidth resources for differentiated services in a timely manner. In this work, we consider hybrid optical–electrical DCN (HOE-DCN) study how to achieve scalable knowledge-defined (KD-NO) managing the delay-sensitive delay-tolerant it. For applications, leverage multi-agent distribute tasks of placing...
The combination of network virtualization and software-defined networking enables an infrastructure provider to create virtual networks (vSDNs) over a shared substrate (SNT), for supporting new services more timely cost-effectively. Meanwhile, as both the traffic in Internet are becoming dynamic, how properly maintain vSDNs dynamic environment exhibits increasing importance but still has not been fully explored. In this paper, we conduct study on realize proactive hitless vSDN...
Pyrroline-5-carboxylate reductase (P5CR1) is a universal housekeeping enzyme that catalyzes the reduction of Δ1-pyrroline-5-carboxylate (P5C) to proline with concomitant oxidation NAD(P)H NAD(P) + . The enzymatic cycle between P5C and important for function in amino acid metabolism, apoptosis, intracellular redox potential balance mitochondria. Autosomal recessive cutis laxa (ARCL) results from mutation P5CR1 encoded by PYCR1. Specifically, R119G reported be linked ARCL although it has not...
To closely monitor the performance of lightpaths in an elastic optical network (EON), people need to rely on real-time and fine-grained spectrum monitoring. This, however, will generate tremendous telemetry data, which can put great pressure both control data planes. In this work, we design experimentally demonstrate AutoSpecheck, is a DL-assisted automation (DLaNA) system that realize highly-efficient automatic inspection for anomaly detection EONs. Specifically, architect AutoSpecheck...
Abstract Background The unclear mechanisms and severity of injuries in the injury pyramids for Chinese children adolescents prevent prioritization interventions. This study aimed to describe this population provide a priority prevention strategies. Methods Death, hospitalization, outpatient/emergency department visit data from patients aged 0 ~ 17 years with were obtained January 1, 2013, December 31, 2017, Zhuhai City, China. mechanism ratios calculated, pyramid drawn proportion using...
This article discusses DeepMDR, which is a deep learning (DL)-assisted control plane (CP) system to realize scalable and protocol-independent path computation in multi-domain packet networks. We develop DeepMDR based on ONOS, make it support protocol-oblivious forwarding (POF) the data plane, facilitate hierarchical CP architecture for operations, propose DL model achieve fast high-quality each domain. Simulation results verify that our DL-assisted routing module achieves better trade-off...
Background Compared to other studies, the injury monitoring of Chinese children and adolescents has captured a low level intentional injuries on account self-harm/suicide violent attacks. Intentional in have not been apparent from data. It is possible that there misclassification existing injuries, lack research literature injuries. This study aimed discuss feasibility discriminating intention based Machine Learning (ML) modelling provided ideas for understanding whether was Methods...