Results 31 to 40 of about 14,668,712 (219)
Background Increasing hospitalization rates present unique challenges to manage limited inpatient bed capacity and services. Transport by paramedics to the emergency department (ED) may influence hospital admission decisions independent of patient need ...
Ryan P. Strum +6 more
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The accuracy of a knowledge extraction algorithm in a large database depends on the quality of the data preprocessing and the methods used. The massive amounts of data that we collect every day are putting storage capacity at a premium.
Moïse Manyol +4 more
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Introduction. Migrant populations mainly move from low- and middle-income countries in Europe, Asia, Africa, and South America. Compared to host populations, they show different patterns in the prevalence of infectious and chronic diseases that ...
Alessandro Avellone +10 more
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Maritime supply chain security: Navigating through a sea of compliance requirements
As a direct result of the 9-11 New York attack all modes of freight and passengertransportation were scrutinised for vulnerabilities. Over 90% of international trade takes place via sea transport for at least some part of the supply chain and as a result
Emma Maspero +2 more
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Post-translational modifications in proteins: resources, tools and prediction methods [PDF]
Shahin Ramazi, Javad Zahiri
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Background Chronic disease management models of care provide an opportunity to assist home care clients to manage their disease burden. However, pragmatic trial management practices and lessons learned from such models are poorly illustrated in the ...
Darly Dash +3 more
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Purpose of the study. The main purpose of the article is to conduct a statistical assessment of the implementation of strategies for the socio-economic development of the Republic of Uzbekistan using an innovative methodology based on the use of digital ...
B. A. Begalov, I. E. Zhukovskaya
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This chapter introduces a powerful class of machine learning approaches called kernel methods, which present an alternative to arguably more widely known neural network approaches. Kernel methods can learn even highly nonlinear problems by making an implicit transformation from a low-dimensional input space into a higher-dimensional feature space. This
Pinheiro Jr, Max, Dral, Pavlo
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Unveiling the social fabric through a temporal, nation-scale social network and its characteristics
Social networks shape individuals’ lives, influencing everything from career paths to health. This paper presents a registry-based, multi-layer and temporal network of the entire Danish population from 2008 to 2021.
Jolien Cremers +9 more
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Towards a Deep Automatic Generation of Figure-ground Maps [PDF]
Figure-ground maps play a key role in many disciplines where urban planning or analysis is involved. In this context, the automatic generation of such maps with respect to certain requirements and constraints is an important task.
L. Arzoumanidis, J. Hecht, Y. Dehbi
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