Search results: Found 10

Listing 1 - 10 of 10
Sort by
Grain-based Foods: Processing, Properties, and Heath Attributes

Authors: ---
ISBN: 9783038972181 9783038972198 Year: Pages: 140 DOI: 10.3390/books978-3-03897-219-8 Language: English
Publisher: MDPI - Multidisciplinary Digital Publishing Institute
Subject: Chemical Technology --- Biology
Added to DOAB on : 2018-10-12 08:51:53
License:

Loading...
Export citation

Choose an application

Abstract

The Special Issue aims to provide a complete exploration of the scientific principles related to processing, fermentation/malting, and nutrition of cereal grains. It also describes their physical and chemical characteristics and explains how these properties relate to health and nutritional value of the final grain-based products. Indeed, while grains remain the world’s largest food yield—with more than 2.4 billion metric tons produced annually—consumer demands are on the rise for grain products sustainable from an environmental, social and economic viewpoint, in order to meet the growing demand for healthy and nutritious foods.

Seedling Production and Field Performance of Seedlings

Authors: ---
ISBN: 9783039212552 9783039212569 Year: Pages: 192 DOI: 10.3390/books978-3-03921-256-9 Language: English
Publisher: MDPI - Multidisciplinary Digital Publishing Institute
Subject: Science (General)
Added to DOAB on : 2019-12-09 11:49:15
License:

Loading...
Export citation

Choose an application

Abstract

Rapid establishment of seedlings in forest regeneration or afforestation sites after planting is a prerequisite for a successful reforestation. Seedling survival after outplanting can be improved by using high-quality seedling material. Seedling quality consists of several features, such as genetic source, morphological properties, nutritional status, stress resistance, and vitality of the seedlings. Field performance of the seedlings is a complex process which can be affected by many nursery and silvicultural practices. Nursery cultural practices strongly affect seedling quality, which is generally at its highest level during the growth period at the nursery. Afterwards, when the seedlings are transported from the nursery to the planting site (including seedling storage, handling, shipping, and planting practices), the quality of seedlings can only remain the same or decline. To ensure successful regeneration, it is important to produce seedlings that retain their high quality until planting, and to establish them quickly in the forest regeneration site.

Biochar as Soil Amendment: Impact on Soil Properties and Sustainable Resource Management

Author:
ISBN: 9783039282746 9783039282753 Year: Pages: 252 DOI: 10.3390/books978-3-03928-275-3 Language: English
Publisher: MDPI - Multidisciplinary Digital Publishing Institute
Subject: Science (General) --- Biology --- Agriculture (General)
Added to DOAB on : 2020-04-07 23:07:09
License:

Loading...
Export citation

Choose an application

Abstract

The role of biochar in improving soil fertility is increasingly being recognized and is leading to recommendations of biochar amendment of degraded soils. In addition, biochars offer a sustainable tool for managing organic wastes and to produce added-value products. The benefits of biochar use in agriculture and forestry can span enhanced plant productivity, an increase in soil C stocks, and a reduction of nutrient losses from soil and non-CO2 greenhouse gas emissions. Nevertheless, biochar composition and properties and, therefore, its performance as a soil amendment are highly dependent on the feedstock and pyrolysis conditions. In addition, due to its characteristics, such as high porosity, water retention, and adsorption capacity, there are other applications for biochar that still need to be properly tested. Thus, the 16 original articles contained in this book, which were selected and evaluated for this Special Issue, provide a comprehensive overview of the biological, chemicophysical, biochemical, and environmental aspects of the application of biochar as soil amendment. Specifically, they address the applicability of biochar for nursery growth, its effects on the productivity of various food crops under contrasting conditions, biochar capacity for pesticide retention, assessment of greenhouse gas emissions, and soil carbon dynamics. I would like to thank the contributors, reviewers, and the support of the Agronomy editorial staff, whose professionalism and dedication have made this issue possible.

Brewing and Craft Beer

Author:
ISBN: 9783039214891 9783039214907 Year: Pages: 140 DOI: 10.3390/books978-3-03921-490-7 Language: English
Publisher: MDPI - Multidisciplinary Digital Publishing Institute
Subject: Science (General) --- Biology --- Biochemistry
Added to DOAB on : 2019-12-09 16:10:12
License:

Loading...
Export citation

Choose an application

Abstract

Beer is a beverage with more than 8000 years of history, and the process of brewing has not changed much over the centuries. However, important technical advances have allowed us to produce beer in a more sophisticated and efficient way. The proliferation of specialty hop varieties has been behind the popularity of craft beers seen in the past few years around the world. Craft brewers interpret historic beer with unique styles. Craft beers are undergoing an unprecedented period of growth, and more than 150 beer styles are currently recognized. This Special Issue, Brewing and Craft Beer, comprises nine different works by researchers from five continents (North America, South America, Europe, Africa, and Oceania). This Special Issue reflects thus a broad perspective on the most important questions that concern the researchers in different parts of the world.

Cultivating Teacher Resilience

Author:
ISBN: 9789811559631 Year: Pages: 307 DOI: 10.1007/978-981-15-5963-1 Language: English
Publisher: Springer Nature
Subject: Education --- Sociology --- Psychology
Added to DOAB on : 2020-09-01 00:03:04
License:

Loading...
Export citation

Choose an application

Abstract

This open access book follows the development of the Building Resilience in Teacher Education (BRiTE) project across Australia and internationally. Drawing on the success of this project and the related research collaborations that have since emerged, it highlights the importance of cultivating resilience at various stages of teachers’ careers. Divided into three sections, the book includes conceptual, empirical and applied chapters, designed to introduce readers to the field of research, provide empirical evidence and showcase innovative applications. The respective chapters illustrate the ways in which teacher resilience can be enhanced in a variety of contexts, and address specific learning activities, case studies, resources and strategies, student feedback and applied outcomes. They also consider future directions including cross-cultural applications and the use of technologies such as augmented reality. The book will appeal to researchers, teacher educators and teachers, as well as those interested in supporting the cultivation and ongoing development of professional resilience for pre-service and practicing teachers.

Analysis of Sensory Properties in Foods

Author:
ISBN: 9783039214334 9783039214341 Year: Pages: 132 DOI: 10.3390/books978-3-03921-434-1 Language: English
Publisher: MDPI - Multidisciplinary Digital Publishing Institute
Subject: Science (General) --- Biology --- Nutrition and Food Sciences
Added to DOAB on : 2019-12-09 11:49:15
License:

Loading...
Export citation

Choose an application

Abstract

The sensory properties of foods are the most important reason people eat the foods they eat. What those properties are and how we best measure those properties are critical to understanding food and eating behavior. Appearance, flavor, texture, and even the sounds of food can impart a desire to eat or cause us to dismiss the food as unappetizing, stale, or even inappropriate from a cultural standpoint. This Special Issue focuses on how sensory properties are measured, the specific sensory properties of various foods, and consumer behavior related to which properties might be most important in certain situations and how consumers use sensory attributes to make decisions about what they will eat. This Special Issue contains both research papers and review articles.

Tools, Methodologies and Techniques Applied to Sustainable Supply Chains

Author:
ISBN: 9783039283187 9783039283194 Year: Pages: 296 DOI: 10.3390/books978-3-03928-319-4 Language: English
Publisher: MDPI - Multidisciplinary Digital Publishing Institute
Subject: Business and Management
Added to DOAB on : 2020-04-07 23:07:08
License:

Loading...
Export citation

Choose an application

Abstract

Supply chains are currently globalized and companies operate internationally owing to the fact that raw materials, production processes, and the consumption of the final products are carried out in different countries. This implies high material and information flow, which incurs high costs associated with the supply chain and logistics, sometimes up to 60% of the total cost of the product. Therefore, companies seek to optimize their resources to reduce these costs and improve sustainability in a globalized market. This book, entitled Tools, Methodologies and Techniques Applied to Sustainable Supply Chains, contains 15 chapters that report case studies applied to industrial and service sectors. The authors come from areas such as Mexico, Colombia, Italy, Sweden, Slovakia, China, and Australia. They indicate how managers make use of tools and techniques to solve problems associated with supply chains to reduce their cost and remain competitive. A great effort has been made to analyze this problem, and the methodologies are clearly described here to facilitate the reproducibility of each technique and tool. This was done in the hope that hoping that they may one day be applied in more companies.

Keywords

tire waste management --- reverse logistics --- green logistics --- Mexico --- Russia --- remanufacturing --- closed-loop supply chain --- warranty decision --- contract coordination --- supply chain innovation --- systematic review --- social network analysis --- collaboration --- attributes --- green manufacturing --- benefits --- green supply chain --- sensitivity analysis --- sustainability --- genetic algorithm --- layout planning --- model --- sustainable manufacturing --- environmental assessment tool --- green lean --- pallet management strategy --- reusable handling system --- closed-loop network --- what-if analysis --- environmental impact --- electricity markets --- alpha-stable distribution --- alpha-stable regression --- electricity prices --- waste management --- residue collection --- urban logistics --- design of territories --- supply chain management --- hospital supply chain --- sustainable supply chain --- hospital logistics --- hospital sustainability --- healthcare logistics --- sustainable hospital management --- Sugarcane Crop Residues (SCRs) --- cogeneration --- optimization of bioenergy supply chain decisions --- delivering products --- travel time uncertainty --- fuzzy logic --- fuzzy linear programming --- urban road network --- reliability --- green supplier selection --- contract farming --- life cycle assessment --- environmental collaboration --- multi-objective optimization --- agro-food supply chain --- system dynamics --- systems thinking --- causal models --- healthcare services --- bearability --- sustainability --- MIPL --- VRP --- star network --- optimal plant location

Multiple-Criteria Decision-Making (MCDM) Techniques for Business Processes Information Management

Authors: --- ---
ISBN: 9783038976424 Year: Pages: 320 DOI: 10.3390/books978-3-03897-643-1 Language: English
Publisher: MDPI - Multidisciplinary Digital Publishing Institute
Subject: Technology (General) --- General and Civil Engineering
Added to DOAB on : 2019-03-08 11:42:05
License:

Loading...
Export citation

Choose an application

Abstract

Information management is a common paradigm in modern decision-making. A wide range of decision-making techniques have been proposed in the literature to model complex business and engineering processes. In this Special Issue, 16 selected and peer-reviewed original research articles contribute to business information management in various current real-world problems by proposing crisp or uncertain multiple-criteria decision-making (MCDM) models and techniques, mostly including multi-attribute decision-making (MADM) approaches, in addition to a single paper proposing an interactive multi-objective decision-making (MODM) approach. Particular attention is devoted to information aggregation operators; 65% of papers dealt with this item. The topics of this Special Issue gained attention in Europe and Asia. A total of 48 authors from seven countries contributed to this Issue. The papers are mainly concentrated in three application areas: supplier selection and rational order allocation, the evaluation and selection of goods or facilities, and personnel selection/partner selection. A number of new approaches are proposed that are expected to attract great interest from the research community.

Keywords

multi-criteria decision-making --- group decision-making --- subcontractor evaluation --- MCDM --- MADM --- fuzzy sets --- fuzzy EDAS --- multi-attribute decision making --- projection model --- bi-directional projection model --- Pythagorean uncertain linguistic variable --- rough number --- rough weighted aggregated sum product assessment (WASPAS) --- rough analytical hierarchical process (AHP) --- multiple criteria decision making (MCDM) --- supplier --- supplier selection --- order allocation --- multiobjective optimization --- interactive approach --- desirability function --- Pythagorean fuzzy set --- Muirhead mean --- multiple criteria group decision-making --- multiple attributes decision-making --- group decision-making --- unbalanced linguistic set --- prioritized average operator --- maximizing deviation model --- Pythagorean fuzzy set --- Muirhead mean --- interaction operational laws --- multi-attribute group decision-making --- green supplier --- rough ANP --- trapezoidal fuzzy number --- rough boundary interval --- evidence theory --- trust interval --- multiple attribute decision making --- linguistic cubic variable --- Dombi operations --- linguistic cubic variable Dombi weighted arithmetic average (LCVDWAA) operator --- linguistic cubic variable Dombi weighted geometric average (LCVDWGA) operator --- single-valued linguistic neutrosophic interval linguistic number --- score function --- weighted aggregation operator --- decision making --- multiple attribute decision making --- nonnegative normal neutrosophic number --- aggregation operator --- multi-criteria decision-making --- multi-hesitant fuzzy sets --- aggregation operators --- hesitant probabilistic fuzzy element (HPFE) --- Einstein operations --- hesitant probabilistic fuzzy Einstein aggregation operators --- multiple attribute decision making (MADM). --- ANFIS --- warehouse --- queuing systems --- logistics --- uncertain group decision-making support systems --- multiple criteria decision-making --- reliable group decision-making --- interval multiplicative preference relations --- rough sets --- binary discernibility matrices --- deterministic finite automata --- multiple-criteria decision-making (MCDM) --- multi-attribute decision-making (MADM) --- fuzzy sets --- neutrosophic sets --- rough sets --- aggregation operators --- adaptive neuro-fuzzy inference system (ANFIS)

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

Big Data Research for Social Sciences and Social Impact

Authors: --- ---
ISBN: 9783039282203 9783039282210 Year: Pages: 416 DOI: 10.3390/books978-3-03928-221-0 Language: English
Publisher: MDPI - Multidisciplinary Digital Publishing Institute
Subject: Technology (General) --- General and Civil Engineering
Added to DOAB on : 2020-04-07 23:07:09
License:

Loading...
Export citation

Choose an application

Abstract

A new era of innovation is enabled by the integration of social sciences and information systems research. In this context, the adoption of Big Data and analytics technology brings new insight to the social sciences. It also delivers new, flexible responses to crucial social problems and challenges. We are proud to deliver this edited volume on the social impact of big data research. It is one of the first initiatives worldwide analyzing of the impact of this kind of research on individuals and social issues. The organization of the relevant debate is arranged around three pillars: Section A: Big Data Research for Social Impact: • Big Data and Their Social Impact; • (Smart) Citizens from Data Providers to Decision-Makers; • Towards Sustainable Development of Online Communities; • Sentiment from Online Social Networks; • Big Data for Innovation. Section B. Techniques and Methods for Big Data driven research for Social Sciences and Social Impact: • Opinion Mining on Social Media; • Sentiment Analysis of User Preferences; • Sustainable Urban Communities; • Gender Based Check-In Behavior by Using Social Media Big Data; • Web Data-Mining Techniques; • Semantic Network Analysis of Legacy News Media Perception. Section C. Big Data Research Strategies: • Skill Needs for Early Career Researchers—A Text Mining Approach; • Pattern Recognition through Bibliometric Analysis; • Assessing an Organization’s Readiness to Adopt Big Data; • Machine Learning for Predicting Performance; • Analyzing Online Reviews Using Text Mining; • Context–Problem Network and Quantitative Method of Patent Analysis. Complementary social and technological factors including: • Big Social Networks on Sustainable Economic Development; Business Intelligence.

Keywords

big data --- illegal accommodation --- institutional innovation --- transaction costs --- housing problem --- building stock management --- Hong Kong --- information diffusion --- community detection --- topic analysis --- sentiment analysis --- social networks --- Social network --- sustainable development --- review voting --- online community --- paradox --- smart citizens --- experimental cities --- smart cities --- technopolitics --- big data --- Barcelona --- data commons --- decision-makers --- policy --- GDPR --- big data --- social sciences --- decision-making --- data analyst --- filtering --- framing --- big data --- maturity model --- temporal analytics --- advanced business analytics --- big data analytic methods --- semantic network analysis --- framings --- NodeXL --- promising technology --- research frontier --- bibliometric analysis --- hype cycle --- technology platforms --- sustainable agri-food systems --- innovation in sustainable agriculture --- online data --- data mining --- TP organics --- big data research --- point of interests (POI) --- sustainability development --- spatial accessibility of residential public services --- Xiamen City --- big data --- sales prediction --- online word-of-mouth --- dynamic topic model --- product attributes --- back-propagation neural network --- systematic and replicable patent analysis method --- problem-solved concept --- context–problem network --- network data analysis --- sustainable wireless energy transmission technology --- big data analytics --- text mining --- association rule --- car review --- skills --- researchers --- early career --- text mining --- social media big data --- lbsn --- check-in density --- spatiotemporal analysis --- KDE --- GWR --- SDE --- Guangzhou --- educational data mining --- learning analytics --- machine learning --- big data --- prediction grades --- destination image --- user-generated content --- online travel review --- big data analytics --- opinion mining --- sentiment analysis --- resource optimisation --- place sustainability --- TripAdvisor --- Greek Attica --- opinion mining --- social media --- social networks --- sentiment analysis --- sentiment polarity classification --- social impact --- big data research --- information systems --- analytics --- decision making --- social sciences --- big data research --- social and humanistic computing --- social sciences --- social good --- social impact --- machine learning --- knowledge management --- web science --- data science --- social inclusive economic growth --- sustainability --- innovation --- innovation networks

Listing 1 - 10 of 10
Sort by
Narrow your search