TY  - GEN
AU  - Koehler,Karsten
AU  - Drenowatz,Clemens
TI  - Integrated Role of Nutrition and Physical Activity for Lifelong Health
SN  - books978-3-03921-212-5
PY  - 2019///
PB  - MDPI - Multidisciplinary Digital Publishing Institute
KW  - n/a
KW  - sport games
KW  - compensatory eating
KW  - breath test
KW  - exercise-induced anorexia
KW  - Fitbit
KW  - nutrition education
KW  - senescence
KW  - body weight
KW  - sport nutrition
KW  - fitness
KW  - long-term follow-up
KW  - self-efficacy
KW  - protein
KW  - food consumption
KW  - cytokines
KW  - physical exercise
KW  - cardiometabolic health
KW  - mediation analyses
KW  - obesity
KW  - food choice
KW  - telomere length
KW  - sporting events
KW  - carbohydrates
KW  - free radicals
KW  - marathon
KW  - adolescents
KW  - movement skills
KW  - naturally enriched 13C-milk proteins
KW  - behavioral intervention
KW  - acute exercise
KW  - skeletal muscle damage
KW  - Protein
KW  - TERRA
KW  - nutrition
KW  - telemonitoring
KW  - Latino
KW  - adolescent
KW  - macronutrients
KW  - metabolism
KW  - mechanisms of impact
KW  - anabolic competence
KW  - endurance exercise
KW  - food healthiness
KW  - exercise
KW  - health promotion
KW  - behavioral economics
KW  - immunity
KW  - stunting
KW  - lifestyle intervention
KW  - running
KW  - telomerase
KW  - dietary intake
KW  - inflammation
KW  - vegetarian
KW  - recreational athlete
KW  - physical performance
KW  - out-of-home eating
KW  - diet
KW  - overweight
KW  - dietary restriction
KW  - soccer
KW  - dual burden of malnutrition
KW  - protein shake
KW  - childhood memories
KW  - chronic diseases
KW  - music events
KW  - oxidation
KW  - added sugar
KW  - lifestyle change
KW  - vegan
KW  - nudges
KW  - food
KW  - physical activity
KW  - half-marathon
KW  - health conscious
KW  - free or reduced lunch
KW  - low-income
KW  - diet quality
KW  - National School Lunch Program
KW  - older adults
KW  - aging
KW  - sport spectators
KW  - chronic low-grade systemic inflammation
KW  - sport
KW  - food intake
N1  - Open Access
N2  - 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
UR  - https://mdpi.com/books/pdfview/book/1430
UR  - https://directory.doabooks.org/handle/20.500.12854/50377
ER  -