Results 1 to 10 of about 7,559,776 (293)

A Particle Swarm Optimization With Lévy Flight for Service Caching and Task Offloading in Edge-Cloud Computing

IEEE Access, 2022
Edge-cloud computing is an efficient approach to address the high latency issue in mobile cloud computing for service provisioning, by placing several computing resources close to end devices. To improve the user satisfaction and the resource efficiency,
Tieliang Gao, Qigui Tang, Jiao Li, Yi Zhang, Yiqiu Li, Jingya Zhang   +5 more
doaj   +1 more source

Risk prediction models [PDF]

Nephrology Dialysis Transplantation, 2013
Prognostic research focuses on the prediction of the future course of a given disease in probability terms. Prognostication is performed by clinical decision makers by using risk prediction models that allow us to estimate the probability that a specific event occurs in a given patient over a predefined time period conditional on prognostic factors ...
Tripepi G, Heinze G, Jager KJ, Stel VS, Dekker FW, Zoccali C   +5 more
openaire   +4 more sources

Predicting the Future of Genetic Risk Prediction [PDF]

Cancer Epidemiology, Biomarkers & Prevention, 2011
Recent genome-wide association studies (GWAS) have identified many susceptibility loci for a variety of complex traits. There is intense interest in evaluating the potential utility of these variants for individualized risk prediction for chronic diseases such as breast cancer.
Nilanjan, Chatterjee, Ju-Hyun, Park, Neil, Caporaso, Mitchell H, Gail   +3 more
openaire   +2 more sources

Global Gross Primary Production Data Fusion by Triple Collocation Analysis From 1992 to 2018

IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing
Gross primary productivity (GPP) is the total amount of CO2 uptake by vegetation of terrestrial ecosystems, which plays a vital role in the carbon cycle.
Yanzhuo Zeng, Huixin Xu, Xiangzhen Qi, Chuanzhuang Liang, Chunyi Wu, Peng Xue, Huiyu Liu   +6 more
doaj   +1 more source

Predicting the future of cardiovascular risk prediction [PDF]

Heart, 2017
The iconic Framingham Heart Study paved the way for many prospective epidemiological cohort studies of cardiovascular disease (CVD) around the world, and the subsequent development of tools which can predict risk of future disease. There have been tools for a broad spectrum of outcomes from absolute CVD risk at varying time points to lifetime risk1 and
openaire   +3 more sources

Temporal and spatial trends of ischemic heart disease burden in Chinese and subgroup populations from 1990 to 2016: socio-economical data from the 2016 global burden of disease study

BMC Cardiovascular Disorders, 2020
Background Ischemic heart disease (IHD) is the leading cause of premature death which poses public health challenges worldwide. Previous studies focused on the overall population in China.
Chenran Wang, Chunping Wang, Mi Liu, Zhe Chen, Shiwei Liu   +4 more
doaj   +1 more source

Accuracy assessment of open DTM and DSM products in urban environments

Geo-spatial Information Science
The digital terrain model (DTM) and digital surface model (DSM) are fundamental data used in many geospatial applications. There are several global open DTM and DSM products.
Jing Liu, Xia Wang, Dalei Han, Qin Ma, Long Li, Peiqi Yang   +5 more
doaj   +1 more source

China’s Well-Facilitated Farmland distribution dataset

Scientific Data
China has less than 10% of the world’s arable land but must feed more than 20% of the global population. Both climate change and farmland degradation pose significant challenges to China’s food security. In 2009, Chinese government launched a nationwide,
Abdusalam Turup, Jun Zhang, Wenchao Ma, Bingxin Ma, Yue Zhang, Zaeem Hassan Akhter, Longhui Li   +6 more
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Global Variability and Future Projections of Marine Heatwave Onset and Decline Rates

Remote Sensing
Marine heatwaves (MHWs) can significantly impact marine ecosystems and socio-economic systems, and their severity may increase with global warming. Nevertheless, research on the onset and decline rates of MHWs remains limited, and their historical and ...
Yongyan Pan, Wenjin Sun, Senliang Bao, Mingshen Xie, Lei Jiang, Jinlin Ji, Yang Yu, Changming Dong   +7 more
doaj   +1 more source

Pseudo-bifurcations in stochastic non-normal systems and the limits of early-warning signals

Communications Physics
Early-warning indicators in ecosystems, neural activity, financial markets, and climate systems are often interpreted as evidence that a system is approaching a tipping point, typically understood as a bifurcation at which a previously stable state loses
Virgile Troude, Sandro Claudio Lera, Ke Wu, Didier Sornette   +3 more
doaj   +1 more source