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Mémento de l'assainissement

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ISBN: 9782759227372 Year: Pages: 844 DOI: 10.35690/978-2-7592-2737-2 Language: French
Publisher: éditions Quae
Subject: Environmental Sciences
Added to DOAB on : 2019-11-10 11:21:06
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This Handbook is a methodological and practical guide for putting liquid sanitation services into operation in the Southern countries. It covers the entire wastewater and sludge collection and treatment chain in rural, semi-urban and urban contexts. Discover the website dedicated to this handbook: http://memento-assainissement.gret.org

15 Competence for the Unforeseen (Book chapter)

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ISBN: 9788202535025 Year: Pages: 34 DOI: 10.23865/noasp.36.ch15 Language: English
Publisher: Cappelen Damm Akademisk/NOASP (Nordic Open Access Scholarly Publishing)
Subject: Sociology --- Social Sciences
Added to DOAB on : 2019-01-15 13:34:08
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"This study examines self-assessment of preparedness for unforeseen events and how it varies between groups and individuals according to roles and functions within an organization. The study has two objectives. The first is to analyse the relationship between general self-efficacy, perceived competence in demanding situations and social support, and based on this, to assess the efficiency of interaction (samhandling) in organizations and preparedness for the unforeseen. The second aim is to examine how these factors vary according to professional experience. A survey questionnaire was completed during winter 2016/2017. All 624 respondents were male or female employees of the Norwegian Armed Forces, based in different units, with different levels of competence, and included commissioned and non-commissioned officers, officer cadets and conscripts. The response rate was 77 percent, and a total of 810 personnel were approached. This study incorporates central concepts of individual and social resources that could permit the prediction and understanding of resilient behaviors in complex and demanding situations. Interaction was found to be the most important predictor of preparedness for the unforeseen. This study also shows that interaction combined with general self-efficacy and social support can account for a considerable proportion of the variance in preparedness for the unforeseen. The results indicate that it is possible to prepare for unforeseen events by implementing measures that improve social factors in particular."

Students at Risk of School Failure

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Book Series: Frontiers Research Topics ISSN: 16648714 ISBN: 9782889455911 Year: Pages: 594 DOI: 10.3389/978-2-88945-591-1 Language: English
Publisher: Frontiers Media SA
Subject: Science (General) --- Psychology
Added to DOAB on : 2019-01-23 14:53:43
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The main objective of this Research Topic is to determine the conditions that place students at risk of school failure, identifying student and context variables.In spite of the fact that there is currently little doubt about how one learns and how to teach, in some countries of the “developed world,” there is still there is a high rate of school failure. Although the term “school failure” is a very complex construct, insofar as its causes, consequences, and development, from the field of educational psychology, the construct “student engagement” has recently gained special interest in an attempt to deal with the serious problem of school failure. School engagement builds on the anatomy of the students’ involvement in school and describes their feelings, behaviors, and thoughts about their school experiences. So, engagement is an important component of students’ school experience, with a close relationship to achievement and school failure. Children who self-set academic goals, attend school regularly and on time, behave well in class, complete their homework, and study at home are likely to interact adequately with the school social and physical environments and perform well in school. In contrast, children who miss school are more likely to display disruptive behaviors in class, miss homework frequently, exhibit violent behaviors on the playground, fail subjects, be retained and, if the behaviors persist, quit school. Moreover, engagement should also be considered as an important school outcome, eliciting more or less supportive reactions from educators. For example, children who display school-engaged behaviors are likely to receive motivational and instructional support from their teachers. The opposite may also be true. But what makes student engage more or less? The relevant literature indicates that personal variables (e.g., sensory, motor, neurodevelopmental, cognitive, motivational, emotional, behavior problems, learning difficulties, addictions), social and/or cultural variables (e.g., negative family conditions, child abuse, cultural deprivation, ethnic conditions, immigration), or school variables (e.g., coexistence at school, bullying, cyberbullying) may concurrently hinder engagement, preventing the student from acquiring the learnings in the same conditions as the rest of the classmates.

ISA: Immissionsschutz beim Abbruch - Minimierung von Umweltbelastungen (Lärm, Staub, Erschütterungen) beim Abbruch von Hoch-/Tiefbauten und Schaffung hochwertiger Recyclingmöglichkeiten für Materialien aus Gebäudeabbruch

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Book Series: Produktion und Energie / Karlsruher Institut für Technologie, Institut für Industriebetriebslehre und industrielle Produktion u. Deutsch-Französisches Institut für Umweltforschung ISSN: 21942404 ISBN: 9783731505341 Year: Volume: 16 Pages: XVIII, 334 p. DOI: 10.5445/KSP/1000055155 Language: GERMAN
Publisher: KIT Scientific Publishing
Subject: Business and Management
Added to DOAB on : 2019-07-28 18:37:01
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Following three instruments for the integration of an efficient immission control in the planning of deconstruction and demolition activities have been developped : - a database including economical, ecological and technical data for the planning of deconstruction and demolition processes, - a planning support tool tested on site in the frame of demolition and deconstruction projects, - a prototypical immission measuring system for a permanent immission control.

Entwurfsoptimierung von selbst-adaptiven Wartungsmechanismen für software-intensive technische Systeme

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Book Series: The Karlsruhe Series on Software Design and Quality / Ed. by Prof. Dr. Ralf Reussner ISSN: 18670067 ISBN: 9783731508526 Year: Volume: 28 Pages: XXV, 342 p. DOI: 10.5445/KSP/1000086097 Language: GERMAN
Publisher: KIT Scientific Publishing
Subject: Computer Science
Added to DOAB on : 2019-07-28 18:37:01
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This work presents novel concepts for efficient decision support in reconfiguring software-intensive technical systems with limited maintenance access. In contrast to purely redundancy-oriented approaches, the proposed methodology is based on the predictive pre-calculation of adequate configuration alternatives in the relevant design space. The knowledge about configuration relationships is manifested early and used for the autonomic cost-efficient assessment of configuration alternatives.

Hybrid Advanced Techniques for Forecasting in Energy Sector

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ISBN: 9783038972907 9783038972914 Year: Pages: 250 DOI: 10.3390/books978-3-03897-291-4 Language: English
Publisher: MDPI - Multidisciplinary Digital Publishing Institute
Subject: Computer Science --- General and Civil Engineering
Added to DOAB on : 2018-10-19 10:39:42
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Accurate forecasting performance in the energy sector is a primary factor in the modern restructured power market, accomplished by any novel advanced hybrid techniques. Particularly in the Big Data era, forecasting models are always based on a complex function combination, and energy data are always complicated by factors such as seasonality, cyclicity, fluctuation, dynamic nonlinearity, and so on. To comprehensively address this issue, it is insufficient to concentrate only on simply hybridizing evolutionary algorithms with each other, or on hybridizing evolutionary algorithms with chaotic mapping, quantum computing, recurrent and seasonal mechanisms, and fuzzy inference theory in order to determine suitable parameters for an existing model. It is necessary to also consider hybridizing or combining two or more existing models (e.g., neuro-fuzzy model, BPNN-fuzzy model, seasonal support vector regression–chaotic quantum particle swarm optimization (SSVR-CQPSO), etc.). These advanced novel hybrid techniques can provide more satisfactory energy forecasting performances.This book aimed to attract researchers with an interest in the research areas described above. Specifically, we were interested in contributions towards recent developments, i.e., hybridizing or combining any advanced techniques in energy forecasting, with the superior capabilities over the traditional forecasting approaches, with the ability to overcome some embedded drawbacks, and with the very superiority to achieve significant improved forecasting accuracy.

Hybrid Advanced Optimization Methods with Evolutionary Computation Techniques in Energy Forecasting

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ISBN: 9783038972860 9783038972877 Year: Pages: 250 DOI: 10.3390/books978-3-03897-287-7 Language: English
Publisher: MDPI - Multidisciplinary Digital Publishing Institute
Subject: Computer Science
Added to DOAB on : 2018-10-19 11:45:03
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More accurate and precise energy demand forecasts are required when energy decisions are made in a competitive environment. Particularly in the Big Data era, forecasting models are always based on a complex function combination, and energy data are always complicated. Examples include seasonality, cyclicity, fluctuation, dynamic nonlinearity, and so on. These forecasting models have resulted in an over-reliance on the use of informal judgment and higher expenses when lacking the ability to determine data characteristics and patterns. The hybridization of optimization methods and superior evolutionary algorithms can provide important improvements via good parameter determinations in the optimization process, which is of great assistance to actions taken by energy decision-makers.This book aimed to attract researchers with an interest in the research areas described above. Specifically, it sought contributions to the development of any hybrid optimization methods (e.g., quadratic programming techniques, chaotic mapping, fuzzy inference theory, quantum computing, etc.) with advanced algorithms (e.g., genetic algorithms, ant colony optimization, particle swarm optimization algorithm, etc.) that have superior capabilities over the traditional optimization approaches to overcome some embedded drawbacks, and the application of these advanced hybrid approaches to significantly improve forecasting accuracy.

Kernel Methods and Hybrid Evolutionary Algorithms in Energy Forecasting

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ISBN: 9783038972921 9783038972938 Year: Pages: 186 DOI: 10.3390/books978-3-03897-293-8 Language: English
Publisher: MDPI - Multidisciplinary Digital Publishing Institute
Subject: Computer Science --- General and Civil Engineering
Added to DOAB on : 2018-10-22 10:01:53
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The development of kernel methods and hybrid evolutionary algorithms (HEAs) to support experts in energy forecasting is of great importance to improving the accuracy of the actions derived from an energy decision maker, and it is crucial that they are theoretically sound. In addition, more accurate or more precise energy demand forecasts are required when decisions are made in a competitive environment. Therefore, this is of special relevance in the Big Data era. These forecasts are usually based on a complex function combination. These models have resulted in over-reliance on the use of informal judgment and higher expense if lacking the ability to catch the data patterns. The novel applications of kernel methods and hybrid evolutionary algorithms can provide more satisfactory parameters in forecasting models. We aimed to attract researchers with an interest in the research areas described above. Specifically, we were interested in contributions towards the development of HEAs with kernel methods or with other novel methods (e.g., chaotic mapping mechanism, fuzzy theory, and quantum computing mechanism), which, with superior capabilities over the traditional optimization approaches, aim to overcome some embedded drawbacks and then apply these new HEAs to be hybridized with original forecasting models to significantly improve forecasting accuracy.

Clinical Text Mining: Secondary Use of Electronic Patient Records

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ISBN: 9783319785028 9783319785035 Year: Pages: 181 DOI: https://doi.org/10.1007/978-3-319-78503-5 Language: English
Publisher: Springer Nature Grant: Riksbankens Jubileumsfond; Stockholm University
Subject: Medical technology
Added to DOAB on : 2018-06-22 15:52:54
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This open access book describes the results of natural language processing and machine learning methods applied to clinical text from electronic patient records.It is divided into twelve chapters. Chapters 1-4 discuss the history and background of the original paper-based patient records, their purpose, and how they are written and structured. These initial chapters do not require any technical or medical background knowledge. The remaining eight chapters are more technical in nature and describe various medical classifications and terminologies such as ICD diagnosis codes, SNOMED CT, MeSH, UMLS, and ATC. Chapters 5-10 cover basic tools for natural language processing and information retrieval, and how to apply them to clinical text. The difference between rule-based and machine learning-based methods, as well as between supervised and unsupervised machine learning methods, are also explained. Next, ethical concerns regarding the use of sensitive patient records for research purposes are discussed, including methods for de-identifying electronic patient records and safely storing patient records. The book’s closing chapters present a number of applications in clinical text mining and summarise the lessons learned from the previous chapters.The book provides a comprehensive overview of technical issues arising in clinical text mining, and offers a valuable guide for advanced students in health informatics, computational linguistics, and information retrieval, and for researchers entering these fields.

Aegis or Achilles Heel: The Dilemma of Homology in Biopatents in the Wake of Novozymes

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Book Series: Munich Intellectual Property Law Center – MIPLC ISBN: 9783845292717 Year: Volume: 32 Pages: 72 DOI: http://dx.doi.org/10.5771/9783845292717 Language: English
Publisher: Nomos Verlagsgesellschaft mbH & Co. KG
Subject: Law
Added to DOAB on : 2018-11-05 12:58:39
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Biopatents frequently disclose sequences of polypeptides and nucleic acids in the written description. The claims often cover a homology range surrounding the disclosed sequence to get a broader protection. However, homology claims face a hurdle that they may lack support by the written description. The Supreme Court of China ruled that homology claims lack support, but a further limitation by species of origin satisfies this requirement. This study explains that homology per se should have formed the essence of such disputes. Homology dictates the skilled person’s confidence on the functionality of unknown sequences, and is involved in multiple patentability requirements. Thus, the assessment of support is not an isolated matter. Disparity of different requirements creates an unclaimable gap, and constitutes a discrimination to biotechnology. An appropriate test for the support requirement is thus furnished to confer a scope of protection commensurating to the technical contribution.

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