1. Integrated Role of Nutrition and Physical Activity for Lifelong Health.
- Author
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Koehler, Karsten and Drenowatz, Clemens
- Subjects
Fitbit ,Latino ,National School Lunch Program ,Protein ,TERRA ,acute exercise ,added sugar ,adolescent ,adolescents ,aging ,anabolic competence ,behavioral economics ,behavioral intervention ,body weight ,breath test ,carbohydrates ,cardiometabolic health ,childhood memories ,chronic diseases ,chronic low-grade systemic inflammation ,compensatory eating ,cytokines ,diet ,diet quality ,dietary intake ,dietary restriction ,dual burden of malnutrition ,endurance exercise ,exercise ,exercise-induced anorexia ,fitness ,food ,food choice ,food consumption ,food healthiness ,food intake ,free or reduced lunch ,free radicals ,half-marathon ,health conscious ,health promotion ,immunity ,inflammation ,lifestyle change ,lifestyle intervention ,long-term follow-up ,low-income ,macronutrients ,marathon ,mechanisms of impact ,mediation analyses ,metabolism ,movement skills ,music events ,n/a ,naturally enriched 13C-milk proteins ,nudges ,nutrition ,nutrition education ,obesity ,older adults ,out-of-home eating ,overweight ,oxidation ,physical activity ,physical exercise ,physical performance ,protein ,protein shake ,recreational athlete ,running ,self-efficacy ,senescence ,skeletal muscle damage ,soccer ,sport ,sport games ,sport nutrition ,sport spectators ,sporting events ,stunting ,telemonitoring ,telomerase ,telomere length ,vegan ,vegetarian - Abstract
Summary: As computer and space technologies have been developed, geoscience information systems (GIS) and remote sensing (RS) technologies, which deal with the geospatial information, have been rapidly maturing. Moreover, over the last few decades, machine learning techniques including artificial neural network (ANN), deep learning, decision tree, and support vector machine (SVM) have been successfully applied to geospatial science and engineering research fields. The machine learning techniques have been widely applied to GIS and RS research fields and have recently produced valuable results in the areas of geoscience, environment, natural hazards, and natural resources. This book is a collection representing novel contributions detailing machine learning techniques as applied to geoscience information systems and remote sensing.