Search results: Found 2

Listing 1 - 2 of 2
Sort by
Overcoming Data Scarcity in Earth Science

Authors: --- --- ---
ISBN: 9783039282104 / 9783039282111 Year: Pages: 94 DOI: 10.3390/books978-3-03928-211-1 Language: eng
Publisher: MDPI - Multidisciplinary Digital Publishing Institute
Subject: Technology (General) --- General and Civil Engineering --- Environmental Engineering
Added to DOAB on : 2020-06-09 16:38:57
License:

Loading...
Export citation

Choose an application

Abstract

heavily Environmental mathematical models represent one of the key aids for scientists to forecast, create, and evaluate complex scenarios. These models rely on the data collected by direct field observations. However, assembly of a functional and comprehensive dataset for any environmental variable is difficult, mainly because of i) the high cost of the monitoring campaigns and ii) the low reliability of measurements (e.g., due to occurrences of equipment malfunctions and/or issues related to equipment location). The lack of a sufficient amount of Earth science data may induce an inadequate representation of the response’s complexity in any environmental system to any type of input/change, both natural and human-induced. In such a case, before undertaking expensive studies to gather and analyze additional data, it is reasonable to first understand what enhancement in estimates of system performance would result if all the available data could be well exploited. Missing data imputation is an important task in cases where it is crucial to use all available data and not discard records with missing values. Different approaches are available to deal with missing data. Traditional statistical data completion methods are used in different domains to deal with single and multiple imputation problems. More recently, machine learning techniques, such as clustering and classification, have been proposed to complete missing data. This book showcases the body of knowledge that is aimed at improving the capacity to exploit the available data to better represent, understand, predict, and manage the behavior of environmental systems at all practical scales.

Current Advances in Meat Nutritional, Sensory and Physical Quality Improvement

Authors: ---
ISBN: 9783039286904 / 9783039286911 Year: Pages: 236 DOI: 10.3390/books978-3-03928-691-1 Language: eng
Publisher: MDPI - Multidisciplinary Digital Publishing Institute
Subject: Science (General) --- Biology --- Nutrition and Food Sciences
Added to DOAB on : 2020-06-09 16:38:57
License:

Loading...
Export citation

Choose an application

Abstract

Within the idea and objective of bringing together original studies dealing with the continuum aspects of meat, i.e., from farm to fork, this book grouped papers on the study of the nutritional, sensory, and technological aspects of carcass, muscle, meat, and meat-product qualities. This nook highlights a great part of the research activities in the field of meat science. A total of 14 original studies and one comprehensive review were edited within five main topics: (i) production systems and rearing practices, (ii) prediction of meat quality, (iii) statistical approaches for meat quality prediction/management, (iv) muscle biochemistry and proteomics techniques, and (v) consumer acceptability, development, and characterization of meat products.

Keywords

pre-weaning period --- fattening period --- growth period --- meat sensory properties --- rearing managements --- rearing surveys --- male and female turkeys --- breeders --- broilers --- carcass --- meat --- nutritional --- sensorial and technological quality --- muscle proteins --- one-dimensional electrophoresis --- bovine proteomics --- LC-MS/MS --- sample preparation --- skeletal muscle --- fetus --- bovine --- extracellular matrix --- immunohistology --- consumer --- sensory acceptability --- dry-cured belly --- pancetta --- pig --- boar taint --- suckling cattle --- cull cow --- meat quality --- finishing practices --- farm survey --- rearing managements --- chuck sale section --- meat sensory properties --- meat rheological properties --- color attributes --- longissimus muscle --- complexus muscle --- infraspinatus muscle --- rhomboideus muscle --- serratus ventralis muscle --- beef quality --- castration --- breed --- shear force --- intramuscular fat --- trade-off --- meat quality --- beef performances --- modeling --- predictive model --- tenderness --- meat --- biomarker --- calpain --- h2afx --- grass-fed --- young bulls --- nutritional quality --- tenderness --- carcass characteristics --- pasture --- beef tenderness --- machine learning --- farm-to-fork --- carcass --- rearing practices --- decision trees --- cows --- natural antioxidant --- phenol --- malondialdehyde --- processed meat --- Folin-Ciocalteu --- meat --- quality --- prediction --- biological marker --- spectroscopy --- phenotypic model --- meat --- quality --- near-infrared spectroscopy --- on-line --- monitoring --- meat science --- carcass and meat qualities --- sensory and technological quality --- muscle biochemistry --- statistical tools for meat quality prediction --- OMICs tools --- production systems

Listing 1 - 2 of 2
Sort by
Narrow your search

Publisher

MDPI - Multidisciplinary Digital Publishing Institute (2)


License

CC by-nc-nd (2)


Language

eng (2)


Year
From To Submit

2020 (2)