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Novel Approaches to the Analysis of Family Data in Genetic Epidemiology

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Book Series: Frontiers Research Topics ISSN: 16648714 ISBN: 9782889199327 Year: Pages: 84 DOI: 10.3389/978-2-88919-932-7 Language: English
Publisher: Frontiers Media SA
Subject: Science (General) --- Genetics
Added to DOAB on : 2016-01-19 14:05:46
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Genome-wide association studies (GWAS) for complex disorders with large case-control populations have been performed on hundreds of traits in more than 1200 published studies (http://www.genome.gov/gwastudies/) but the variants detected by GWAS account for little of the heritability of these traits, leading to an increasing interest in using family based designs. While GWAS studies are designed to find common variants with low to moderate attributable risks, family based studies are expected to find rare variants with high attributable risk. Because family-based designs can better control both genetic and environmental background, this study design is robust to heterogeneity and population stratification. Moreover, in family-based analysis, the background genetic variation can be modeled to control the residual variance which could increase the power to identify disease associated rare variants. Analysis of families can also help us gain knowledge about disease transmission and inheritance patterns. Although a family-based design has the advantage of being robust to false positives, novel and powerful methods to analyze families in genetic epidemiology continue to be needed, especially for the interaction between genetic and environmental factors associated with disease. Moreover, with the rapid development of sequencing technology, advances in approaches to the design and analysis of sequencing data in families are also greatly needed. The 11 articles in this book all introduce new methodology and, using family data, substantial new findings are presented in the areas of infectious diseases, diabetes, eye traits, autism spectrum disorder and prostate cancer.

Machine Learning Techniques Applied to Geoscience Information System and Remote Sensing

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ISBN: 9783039212156 9783039212163 Year: Pages: 438 DOI: 10.3390/books978-3-03921-216-3 Language: English
Publisher: MDPI - Multidisciplinary Digital Publishing Institute
Subject: Technology (General) --- General and Civil Engineering --- Mechanical Engineering
Added to DOAB on : 2019-12-09 11:49:15
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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.

Keywords

landslide --- bagging ensemble --- Logistic Model Trees --- GIS --- Vietnam --- colorization --- random forest regression --- grayscale aerial image --- change detection --- gully erosion --- environmental variables --- data mining techniques --- SCAI --- GIS --- mapping --- single-class data descriptors --- materia medica resource --- Panax notoginseng --- one-class classifiers --- geoherb --- change detection --- convolutional network --- deep learning --- panchromatic --- remote sensing --- remote sensing image segmentation --- convolutional neural networks --- Gaofen-2 --- hybrid structure convolutional neural networks --- winter wheat spatial distribution --- classification-based learning --- real-time precise point positioning --- convergence time --- ionospheric delay constraints --- precise weighting --- landslide --- weights of evidence --- logistic regression --- random forest --- hybrid model --- traffic CO --- traffic CO prediction --- neural networks --- GIS --- land use/land cover (LULC) --- unmanned aerial vehicle --- texture --- gray-level co-occurrence matrix --- machine learning --- crop --- landslide susceptibility --- random forest --- boosted regression tree --- information gain --- landslide susceptibility map --- ALS point cloud --- multi-scale --- classification --- large scene --- coarse particle --- particulate matter 10 (PM10) --- landsat image --- machine learning --- support vector machine --- high-resolution --- optical remote sensing --- object detection --- deep learning --- transfer learning --- land subsidence --- Bayes net --- naïve Bayes --- logistic --- multilayer perceptron --- logit boost --- change detection --- convolutional network --- deep learning --- panchromatic --- remote sensing --- leaf area index (LAI) --- machine learning --- Sentinel-2 --- sensitivity analysis --- training sample size --- spectral bands --- spatial sparse recovery --- constrained spatial smoothing --- spatial spline regression --- alternating direction method of multipliers --- landslide prediction --- machine learning --- neural networks --- model switching --- spatial predictive models --- predictive accuracy --- model assessment --- variable selection --- feature selection --- model validation --- spatial predictions --- reproducible research --- Qaidam Basin --- remote sensing --- TRMM --- artificial neural network --- n/a

Computational Methods for Risk Management in Economics and Finance

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ISBN: 9783039284986 / 9783039284993 Year: Pages: 234 DOI: 10.3390/books978-3-03928-499-3 Language: eng
Publisher: MDPI - Multidisciplinary Digital Publishing Institute
Subject: Business and Management
Added to DOAB on : 2020-06-09 16:38:57
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At present, computational methods have received considerable attention in economics and finance as an alternative to conventional analytical and numerical paradigms. This Special Issue brings together both theoretical and application-oriented contributions, with a focus on the use of computational techniques in finance and economics. Examined topics span on issues at the center of the literature debate, with an eye not only on technical and theoretical aspects but also very practical cases.

Sustainable Directions in Tourism

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ISBN: 9783039217724 9783039217731 Year: Pages: 302 DOI: 10.3390/books978-3-03921-773-1 Language: English
Publisher: MDPI - Multidisciplinary Digital Publishing Institute
Subject: Economics
Added to DOAB on : 2019-12-09 11:49:16
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Within the framework of tourism companies and tourist destinations, the question of sustainability is gaining importance. Tourists are increasingly aware of the importance of sustainability criteria, awarding greater value to sustainable destinations. Sustainability refers to a wide range of aspects related to climate change, the economic organization of tourism, social values or questions, job creation, and the necessary protection of the culture of destinations and the environment. Therefore, there is a need for studies that consider these aspects in order to achieve the sustainable development of tourist destinations. Fundamental to this is discovering to what degree tourism companies and destinations approach these questions in the strategies they use to deal with problems stemming from their attempts to be more sustainable. Conceptual papers and empirical research on the economic, social, cultural, and environmental aspects related to tourism companies and destinations are welcome. Studies that analyze how these questions and the concept of sustainability are included in tourism companies and destinations are necessary in these modern times. This book was established for these reasons, dedicated to examining sustainability in tourism. The papers included in this Special Issue can help us to determine the new directions being addressed in the research on sustainability tourism.

Keywords

learning-based tourism --- science museum --- motivation --- constraint --- museum planning --- physical environment (PhE) --- visitor behavior --- visitor satisfaction --- all-for-one tourism --- spatial analysis --- tourism evaluation --- mountain areas --- sustainability services marketing matrix --- cluster analysis --- tourism indicators --- regional disparity --- tourism --- sustainability --- climate change --- choice experiment --- islands --- sustainable tourism --- strategic planning --- A’WOT --- TOWS matrix --- agritourism --- sustainable development --- the “health” of rural settlements --- Apuseni mountains --- forecast through a logistic model --- air pollution --- inbound tourism --- China, PM10 --- regression discontinuity design --- community-based tourism --- local community --- sustainable tourism --- destination development --- sense of belonging --- pro-social/pro-environmental behavior --- discrete choice experiments --- invasive species control --- tourists’ preferences --- two stage on-site sampling --- negative externalities --- event quality --- tourist satisfaction --- place attachment --- behavioral intentions --- sport tourism --- sporting event --- ecolabel --- sustainable tourism --- certification --- hotel management --- campsites --- ecolabel adoption --- electricity --- tourism --- time series --- forecasting --- sustainability --- purchasing --- supply chain --- qualitative methodology --- hotel industry --- semantic analysis --- ICT --- essential marketing --- tourism and sustainability --- value and tourism --- internet search index --- deep learning framework --- LSTM model --- hotel accommodation demands --- forecasting performance --- tourism --- compartmentalisation --- sustainable daily practices --- young adults

Nutrition, Choice and Health-Related Claims

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ISBN: 9783039286485 / 9783039286492 Year: Pages: 362 DOI: 10.3390/books978-3-03928-649-2 Language: eng
Publisher: MDPI - Multidisciplinary Digital Publishing Institute
Subject: Medicine (General)
Added to DOAB on : 2020-06-09 16:38:57
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This book presents different articles focused on the role of nutritional properties and/or health-related claims on choice preferences, choice behavior, healthy eating/healthy diet, and the willingness to pay for certain foods.

Keywords

consumer research --- carrier foods --- functional ingredients --- loglinear analysis --- qualified health claim --- older adult --- green tea --- cancer --- purchase intentions --- emotional eating --- food choices --- nutritional claims --- nutrition claims --- health claims --- portion size --- perceptions --- health halo --- food labelling --- consumer --- nudging --- qualitative --- focus groups --- trans-fatty acids --- ultra-processed food products --- food labels --- consumer --- non-communicable disease --- quantile regression --- experimental auction --- lycopene --- information --- consumer --- yoghurt --- label --- a discrete choice-based experiment --- Food Neophobia Scale (FNS) --- food neophobia --- consumer choice --- choice experiment --- allergen --- menu --- packaging --- exposure time --- plant extract --- visual appraisal --- consumer home-test --- nutritional claims --- health claims --- cluster analysis --- food choices --- functional food --- health information --- environmental information --- choice experiment --- sustainability --- consumer preferences --- nutritional labels --- biscuits --- pastries --- Aragón --- nutrition claim --- health claim --- functional food --- WTP --- segmentation --- organic consumer choices --- organic dried strawberries --- nutrient labels --- health attitudes --- consumer heterogeneity --- cross-cultural comparison --- claims --- labeling --- nutrition --- consumer behavior --- policy --- choice architecture --- dining environment --- campus --- college students --- cereal grains --- dietary fiber --- vitamins --- claim --- information --- health claims --- new product development --- nutrition claims --- market success --- food choice --- changes in quality --- changes in prices --- nutrition --- United Kingdom --- Brexit --- consumer research --- willingness to purchase --- non-communicable diseases --- binary logistic regression --- random forest --- food choices --- health consciousness --- red wine --- choice experiment --- clean labels --- alcohol content --- nutritional knowledge --- health --- local --- organic --- greenhouse gas emissions --- consumer --- choice experiment --- willingness to pay --- trade-offs --- n/a

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