The researchers identify two sites: one healthcare provider serves a large population, but its clinical information system allows queries only on past/current smoking and a certain number of genes; the other provider has more detailed behavioral data (including number of cigarettes per week) and ...
doi:10.1016/j.geoforum.2015.11.017The past several years have seen a huge number of publications, conferences and campaigns on "land grabbing" or large-scale acquisition of land, most often in Africa. Land-grabbing became a fiercely debated issue and the attention rapidly evolved into a real ...
Perkins S, Questiaux J, Finniss S, Tyler R, Blyth S, Kuttel MM (2014) Scalable desktop visualisation of very large radio astronomy data cubes. New Astron 30:1–7 Article Google Scholar Pez DG, Aparicio F, De Buenaga M, Ascanio JR (2014) Chronic patients monitoring using wireless senso...
Changes in land use brings about habitat conversion and degradation, which has a large impact on regional biodiversity and ecosystem services (Newbold et al., 2015). However, in protected areas, the regulation of the actions that cause these changes is made so that the ecological impact is ...
Big data are extremely large-scaled heterogeneous data in terms of ... Y Wang - International Conference on Mathematical & Computational Methods in Science & Engineering 被引量: 17发表: 2015年 Intelligent Information and Database Systems intelligent big data exploitation; cloud and network computing;...
Data-intensive or -driven discovery in biology requires a large open pool of data across the full breadth of the life sciences and the access to the pool will invite “New” logic, strategies and tools to discover new trends, associations, discontinuities, and exceptions that reveal aspects of...
are the rich source of information for monitoring the spread of disease. Identification of patterns through analysis of these data streams can help to comprehend shifts in disease hotspots and support surveillance actions. Scaling the use of analytical tools on such large volumes of data, for examin...
1, the variables consist of 38 patients (id), time until infection since the catheter insertion (time), and a censoring indicator (1, infection; 0, censoring) forstatus, age of the patient (age), sex (sex) of the patient (1, male; ...
The likelihood inferences for specific models may be susceptible to data leakage outliers. If the data size is limited, we can review the data carefully to detect outliers, but it can be difficult for large-scale data to identify outliers or degraded data. A commonly cited drawback of the pr...
A large (∼10-fold), statistically significant decrease in the behavioral heterochromatic threshold (thresholds: homochromatic = 5.0%, heterochromatic = 0.7%) was accompanied by a large (∼10-fold), statistically significant decrease in the neuronal heterochromatic threshold (thresholds: homochromatic...