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Cornici pedagogiche per la formazione docente

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Book Series: Traiettorie inclusive - Open Access ISBN: 9788891786234 Year: Pages: 160 Language: Italian
Publisher: FrancoAngeli
Subject: Education
Added to DOAB on : 2020-01-07 11:21:03
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The volume reviews the fundamental issues of teacher training, especially about the support teacher, to re-establish new coordinates for the co-construction of inclusive class contexts.

Victim Support and the Welfare State

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ISBN: 9781138584792 Year: Pages: 186 Language: English
Publisher: Taylor & Francis
Subject: Social Sciences
Added to DOAB on : 2020-05-05 07:21:46
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This book provides a rich analysis of the history of Swedish victim support. With the majority of research on victim support centering on the Anglosphere, this book offers a unique case study for considering the role of the victim in the criminal justice system. While Sweden has enacted many laws to support victims, and victim assistance programs have grown rapidly, welfare policy has become more restrictive and crime policy, to some degree, more punitive. Drawing on archival material and interviews with key representatives for the Swedish Association for Victim Support (BOJ), this book examines what role the victim movement has played in a changing welfare state. It argues that BOJ filled a function in the decentralization and privatization of the Swedish welfare state and explores distinctive features of the Swedish victim movement and the form it has taken, as compared to that in other countries.This book will be of interest to scholars and students of criminology, sociology, social policy, civil society studies, and social work, and those engaged in studies of victims and victimology.

Short-Term Load Forecasting by Artificial Intelligent Technologies

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ISBN: 9783038975823 9783038975830 Year: Pages: 444 DOI: 10.3390/books978-3-03897-583-0 Language: English
Publisher: MDPI - Multidisciplinary Digital Publishing Institute
Subject: Computer Science
Added to DOAB on : 2019-01-29 10:55:39
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In last few decades, short-term load forecasting (STLF) has been one of the most important research issues for achieving higher efficiency and reliability in power system operation, to facilitate the minimization of its operation cost by providing accurate input to day-ahead scheduling, contingency analysis, load flow analysis, planning, and maintenance of power systems. There are lots of forecasting models proposed for STLF, including traditional statistical models (such as ARIMA, SARIMA, ARMAX, multi-variate regression, Kalman filter, exponential smoothing, and so on) and artificial-intelligence-based models (such as artificial neural networks (ANNs), knowledge-based expert systems, fuzzy theory and fuzzy inference systems, evolutionary computation models, support vector regression, and so on). Recently, due to the great development of evolutionary algorithms (EA) and novel computing concepts (e.g., quantum computing concepts, chaotic mapping functions, and cloud mapping process, and so on), many advanced hybrids with those artificial-intelligence-based models are also proposed to achieve satisfactory forecasting accuracy levels. In addition, combining some superior mechanisms with an existing model could empower that model to solve problems it could not deal with before; for example, the seasonal mechanism from the ARIMA model is a good component to be combined with any forecasting models to help them to deal with seasonal problems.

Open Access and the Library

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ISBN: 9783038977407 Year: Pages: 142 DOI: 10.3390/books978-3-03897-741-4 Language: English
Publisher: MDPI - Multidisciplinary Digital Publishing Institute
Subject: Media and communication
Added to DOAB on : 2019-04-05 10:34:31
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Libraries are places of learning and knowledge creation. Over the last two decades, digital technology—and the changes that came with it—have accelerated this transformation to a point where evolution starts to become a revolution.The wider Open Science movement, and Open Access in particular, is one of these changes and is already having a profound impact. Under the subscription model, the role of libraries was to buy or license content on behalf of their users and then act as gatekeepers to regulate access on behalf of rights holders. In a world where all research is open, the role of the library is shifting from licensing and disseminating to facilitating and supporting the publishing process itself.This requires a fundamental shift in terms of structures, tasks, and skills. It also changes the idea of a library’s collection. Under the subscription model, contemporary collections largely equal content bought from publishers. Under an open model, the collection is more likely to be the content created by the users of the library (researchers, staff, students, etc.), content that is now curated by the library.Instead of selecting external content, libraries have to understand the content created by their own users and help them to make it publicly available—be it through a local repository, payment of article processing charges, or through advice and guidance. Arguably, this is an overly simplified model that leaves aside special collections and other areas. Even so, it highlights the changes that research libraries are undergoing, changes that are likely to accelerate as a result of initiatives such as Plan S.This Special Issue investigates some of the changes in today’s library services that relate to open access.

Continuous Casting

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ISBN: 9783039213214 9783039213221 Year: Pages: 250 DOI: 10.3390/books978-3-03921-322-1 Language: English
Publisher: MDPI - Multidisciplinary Digital Publishing Institute
Subject: Technology (General) --- Chemical Engineering
Added to DOAB on : 2019-08-28 11:21:27
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Continuous casting is an industrial process whereby molten metal is solidified into a semi-finished billet, bloom, or slab for subsequent rolling in finishing mills; it is the most frequently used process to cast not only steel, but also aluminium and copper alloys. Since its widespread introduction for steel in the 1950s, it has evolved to achieve improved yield, quality, productivity and cost efficiency. It allows lower-cost production of metal sections with better quality, due to the inherently lower costs of continuous, standardized production of a product, as well as providing increased control over the process through automation. Nevertheless, challenges remain and new ones appear, as ways are sought to minimize casting defects and to cast alloys that could originally only be cast via other means. This Special Issue of the journal ""Metals"" consists of 14 research articles that cover many aspects of experimental work and theoretical modelling related to the ongoing development of continuous casting processes.

Keywords

slab continuous casting --- hybrid simulation model --- uneven secondary cooling --- numerical simulation --- molten steel flow --- solidification --- inclusion motion --- inclusion entrapment --- billet continuous casting --- swirling flow tundish --- multiphase flow --- heat transfer --- mold --- continuous casting --- numerical simulation --- round bloom --- continuous casting --- final electromagnetic stirring --- electromagnetic field --- polycrystalline model --- pores --- inclusions --- mechanism --- beam blank --- crystal --- propagation --- asymptotic analysis --- numerical simulation --- continuous casting --- air mist spray cooling --- continuous casting --- heat flux --- HTC --- secondary cooling --- thin-slab cast direct-rolling --- austenite grain coarsening --- grain growth control --- liquid core reduction --- secondary cooling --- two-phase pinning --- annular argon blowing --- upper nozzle --- flow behavior --- argon gas distribution --- tundish --- continuous casting --- bulge deformation --- thermomechanical coupling --- segmented roller --- finite element analysis --- steel tundish --- baffle --- flow field --- velocity --- PIV --- multi-source information fusion --- data stream --- continuous casting --- roll gap value --- prediction --- global optimization --- support vector regression --- variational mode decomposition --- empirical mode decomposition --- support vector regression --- mold level --- continuous casting --- magnetohydrodynamics --- fluid flow --- bubbles --- inclusions --- entrapment --- entrainment --- heat transfer --- solidification --- slab mold --- continuous casting --- n/a

Statistical Analysis and Stochastic Modelling of Hydrological Extremes

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ISBN: 9783039216642 9783039216659 Year: Pages: 294 DOI: 10.3390/books978-3-03921-665-9 Language: English
Publisher: MDPI - Multidisciplinary Digital Publishing Institute
Subject: Science (General) --- Meteorology and Climatology
Added to DOAB on : 2019-12-09 16:10:12
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Hydrological extremes have become a major concern because of their devastating consequences and their increased risk as a result of climate change and the growing concentration of people and infrastructure in high-risk zones. The analysis of hydrological extremes is challenging due to their rarity and small sample size, and the interconnections between different types of extremes and becomes further complicated by the untrustworthy representation of meso-scale processes involved in extreme events by coarse spatial and temporal scale models as well as biased or missing observations due to technical difficulties during extreme conditions. The complexity of analyzing hydrological extremes calls for robust statistical methods for the treatment of such events. This Special Issue is motivated by the need to apply and develop innovative stochastic and statistical approaches to analyze hydrological extremes under current and future climate conditions. The papers of this Special Issue focus on six topics associated with hydrological extremes: Historical changes in hydrological extremes; Projected changes in hydrological extremes; Downscaling of hydrological extremes; Early warning and forecasting systems for drought and flood; Interconnections of hydrological extremes; Applicability of satellite data for hydrological studies.

Keywords

rainfall --- monsoon --- high resolution --- TRMM --- drought prediction --- APCC Multi-Model Ensemble --- seasonal climate forecast --- machine learning --- sparse monitoring network --- Fiji --- drought analysis --- ANN model --- drought indices --- meteorological drought --- SIAP --- SWSI --- hydrological drought --- discrete wavelet --- global warming --- statistical downscaling --- HBV model --- flow regime --- uncertainty --- reservoir inflow forecasting --- artificial neural network --- wavelet artificial neural network --- weighted mean analogue --- variation analogue --- streamflow --- artificial neural network --- simulation --- forecasting --- support vector machine --- evolutionary strategy --- heavy storm --- hyetograph --- temperature --- clausius-clapeyron scaling --- climate change --- the Cauca River --- climate variability --- ENSO --- extreme rainfall --- trends --- statistical downscaling --- random forest --- least square support vector regression --- extreme rainfall --- polynomial normal transform --- multivariate modeling --- sampling errors --- non-normality --- extreme rainfall analysis --- statistical analysis --- hydrological extremes --- stretched Gaussian distribution --- Hurst exponent --- INDC pledge --- precipitation --- extreme events --- extreme precipitation exposure --- non-stationary --- extreme value theory --- uncertainty --- flood regime --- flood management --- Kabul river basin --- Pakistan --- extreme events --- innovative methods --- downscaling --- forecasting --- compound events --- satellite data

Wine Traceability

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ISBN: 9783039217687 9783039217694 Year: Pages: 138 DOI: 10.3390/books978-3-03921-769-4 Language: English
Publisher: MDPI - Multidisciplinary Digital Publishing Institute
Subject: Science (General) --- Biology --- Biochemistry
Added to DOAB on : 2019-12-09 11:49:16
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Wine traceability is a central theme in the current world market where consumers are increasingly demanding the quality and origin of food and drink. The wine production chain and wine composition are generally controlled by different laws (International Organization of Vine and Wine (OIV), European Union (EU), and national governments) and need specific documentation. Nevertheless, wine production is subject to fraud. Consequently, the improvement of the methods applied to verify the origin and quality of wines is very important to protect wine consumers and producers. In this book, eight different papers—six research papers and two reviews—address the topic from different points of view.

Breastfeeding and Human Lactation

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ISBN: 9783038979302 9783038979319 Year: Pages: 450 DOI: 10.3390/books978-3-03897-931-9 Language: English
Publisher: MDPI - Multidisciplinary Digital Publishing Institute
Subject: Science (General) --- Biology --- Nutrition and Food Sciences
Added to DOAB on : 2019-06-26 08:44:06
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Human lactation has evolved to produce a milk composition that is uniquely-designed for the human infant. Not only does human milk optimize infant growth and development, it also provides protection from infection and disease. More recently, the importance of human milk and breastfeeding in the programming of infant health has risen to the fore. Anchoring of infant feeding in the developmental origins of health and disease has led to a resurgence of research focused in this area. Milk composition is highly variable both between and within mothers. Indeed the distinct maternal human milk signature, including its own microbiome, is influenced by environmental factors, such as diet, health, body composition and geographic residence. An understanding of these changes will lead to unravelling the adaptation of milk to the environment and its impact on the infant. In terms of the promotion of breastfeeding, health economics and epidemiology is instrumental in shaping public health policy and identifying barriers to breastfeeding. Further, basic research is imperative in order to design evidence-based interventions to improve both breastfeeding duration and women’s breastfeeding experience.

Keywords

human milk --- breastfed infants --- body composition --- anthropometrics --- milk intake --- bioelectrical impedance spectroscopy --- ultrasound skinfolds --- maternal factors --- infant --- feeding --- preterm --- premature --- bottle --- human milk --- breastfeeding --- nipple shield --- infant feeding --- choline --- phosphocholine --- glycerophosphocholine --- lactation --- human milk --- infants --- adequate intake --- dietary recommendations --- Canada --- Cambodia --- breast milk --- galactogogues --- mothers of preterm infants --- breastfeeding --- attitudes --- knowledge --- midwifery --- formula supplementation --- justification of supplementation --- maternal wellbeing --- maternal distress --- post-partum distress --- breastfeeding support --- paternal role --- partner support --- infant --- Ireland --- passive immunity --- antibodies --- lactation --- peptidomics --- prematurity --- proteolysis --- breast milk --- preterm infant --- enteral nutrition --- lipids --- omega-3 fatty acids --- omega-6 fatty acids --- Docosahexaenoic acid --- Arachidonic acid --- long-chain polyunsaturated fatty acids --- pregnancy --- breast milk --- lactation --- maternal diet --- n-6 and n-3 polyunsaturated fatty acid --- docosahexaenoic acid --- zinc deficiency --- plasma zinc --- lactating women --- zinc supplementation --- Quito --- Ecuador --- Andean region --- GDM --- lactation --- thyroid --- triiodothyronine --- thyroxine --- thyroid antibodies --- breastfeeding --- knowledge --- practice --- barriers --- social support --- professional support --- raw breast milk --- cytomegalovirus --- milk-acquired infections --- preterm infant --- adipokines --- adiponectin --- leptin --- breastfeeding --- infant --- body composition --- bioelectrical impedance spectroscopy --- ultrasound skinfolds --- human milk --- lactation --- human lactation --- expressing --- milk synthesis --- fat synthesis --- human milk --- milk metabolites --- lactation --- milk metabolomics --- human milk --- breastfeeding --- lactation --- lipids --- lipidomics --- mass spectrometry --- chromatography --- NMR spectroscopy --- human milk --- sex-specificity --- infant growth --- early life nutrition --- postnatal outcomes --- breastfeeding --- breast milk --- human milk --- colostrum --- IgA --- HGF --- TGF-? --- growth factors --- geographical location --- human milk --- potassium --- sodium --- ICP-OES --- ion selective electrode --- lactoferrin --- human milk --- infection --- immunity --- antisecretory factor --- human milk --- breast milk --- breastfeeding --- inflammation --- lactoferrin --- candida --- human milk --- milk cells --- immune cells --- antimicrobial proteins --- human milk --- breastfeeding --- ethnicity --- composition --- diet --- responsive feeding --- breastfeeding --- breastmilk --- babywearing --- co-sleeping --- mother–infant interaction --- feeding cues --- maternal responsiveness --- mother–infant physical contact --- proximal care --- fatty acids --- long-chain polyunsaturated fatty acids --- endocannabinoids --- infant health --- breast milk --- casein --- whey --- protein --- breastfeeding --- infant --- body composition --- bioelectrical impedance spectroscopy --- ultrasound skinfolds --- human milk --- calculated daily intakes --- lactation --- human milk --- metabolites --- microbiome --- mode of delivery --- caesarean section --- proton nuclear magnetic resonance --- breastfeeding --- human milk composition --- body composition --- maternal diet --- infant growth --- appetite regulation --- N-acylethanolamines --- OEA --- SEA --- PEA --- breastfeeding --- human milk composition --- obesity --- Breastfeeding --- human lactation --- lactation --- human milk --- breast milk --- milk composition

Sustainability of Young Companies–Contemporary Trends and Challenges

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ISBN: 9783039211852 9783039211869 Year: Pages: 244 DOI: 10.3390/books978-3-03921-186-9 Language: English
Publisher: MDPI - Multidisciplinary Digital Publishing Institute
Subject: Economics
Added to DOAB on : 2019-08-28 11:21:27
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Ensuring the sustainability of early stage companies and increasing awareness of the need for balancing targets against different stakeholder groups among young companies are not well developed. Young companies, in the first place, want to achieve financial success very often without regard for aspects such as the environment, positive relationships with employees, suppliers or other stakeholder groups, fulfilling requirements of labor law, etc. Another issue is that of companies whose business models are based on actuarially-preferred concepts, such as sharing economy, sustainable development, e-comers, e-commerce, renewable energy, social media, and others. A key issue is the resignation of companies from an approach to business, based on the foundations of classical economics to the sharing economy. Theory and practice seek new solutions in the sphere of value sharing in these new areas of sharing, and innovative forms of its implementation. Intriguing is the relationship of these business models with sustainability issues, as well as wondering how technology can influence sustainability. A contemporary approach to consumer value fits in with the assumption of a shared economy. It is interesting how it affects the assumptions of sustainability of business. The ongoing changes in the value system of potential consumers create new conditions for the design of sustainability business models and creation of innovation.

Applications of Computational Intelligence to Power Systems

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ISBN: 9783039217601 9783039217618 Year: Pages: 116 DOI: 10.3390/books978-3-03921-761-8 Language: English
Publisher: MDPI - Multidisciplinary Digital Publishing Institute
Subject: Technology (General) --- General and Civil Engineering
Added to DOAB on : 2019-11-08 11:31:56
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Electric power systems around the world are changing in terms of structure, operation, management and ownership due to technical, financial, and ideological reasons. Power systems keep on expanding in terms of geographical areas, asset additions, and the penetration of new technologies in generation, transmission, and distribution. The conventional methods for solving the power system design, planning, operation, and control problems have been extensively used for different applications, but these methods suffer from several difficulties, thus providing suboptimal solutions. Computationally intelligent methods can offer better solutions for several conditions and are being widely applied in electrical engineering applications. This Special Issue represents a thorough treatment of computational intelligence from an electrical power system engineer’s perspective. Thorough, well-organised, and up-to-date, it examines in detail some of the important aspects of this very exciting and rapidly emerging technology, including machine learning, particle swarm optimization, genetic algorithms, and deep learning systems. Written in a concise and flowing manner by experts in the area of electrical power systems who have experience in the application of computational intelligence for solving many complex and difficult power system problems, this Special Issue is ideal for professional engineers and postgraduate students entering this exciting field.

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