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Fieldwork (Educational method) --- Social service --- Fieldwork. --- Research. --- Social work research --- Field instruction --- Field study (Educational method) --- Field teaching --- Field work (Educational method) --- Teaching --- Education, Cooperative --- Project method in teaching

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Lehrkräfte und pädagogische Fachkräfte finden in diesem Buch Anregungen und Orientierungspunkte, um das Thema Reparieren didaktisch in ihre Schule zu integrieren. Die Autorinnen zeigen zunächst Sinnperspektiven des Reparierens von Alltagsgegenständen auf, die dessen Bedeutung als Bildungsthema unterstreichen. Dabei geht es um mehr als die Übernahme von Verantwortung für eine nachhaltige Entwicklung: Reparieren wird als einfühlsamer und innovativer Umgang mit den Dingen, als Improvisation, Neuerfindung und emotionale Arbeit beschrieben, die ermächtigend wirkt. Im zweiten Teil geht es um die praktische Gestaltung von Reparaturlernangeboten an Schulen. Dazu werden die Ergebnisse einer Studie herangezogen, für die Lehrende in ganz Deutschland befragt wurden. Sie haben sehr unterschiedliche Formate erprobt und weiterentwickelt. Ihre Erfahrungsberichte zeigen, dass Reparaturlernangebote der Unvorhersehbarkeit des Reparaturgegenstandes didaktisch erfolgreich begegnen können. Welche Besonderheiten bei bestimmten Gegenständen vom Gartenwerkzeug bis zum Smartphone zu beachten sind, welche Überlegungen zur Sicherheit angestellt werden müssen und welche Unterstützungsmöglichkeiten es gibt, wird ebenso analysiert, wie die Möglichkeiten, die sich innerhalb bestimmter Bedingungen vor Ort ergeben. Auch für eine Schule ohne Werkstattraum, auch für eine Lehrkraft ohne spezielle Reparaturkenntnisse ist die Möglichkeit gegeben, das Thema Reparieren in die Schule zu bringen, sei es im Regelunterricht, in der AG oder am Wandertag.

Education --- empirical survey --- sampling frame --- education --- survey instruments --- target population --- technical report --- educational study --- educational research --- field study --- contacting --- quality development --- survey design --- early childhood education --- survey methodology --- sampling design --- Education / Special Education

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Cognitive building is a pioneering topic envisioning the future of our built environment. The concept of "cognitive" provides a paradigm shift that steps from the static concept of the building as a container of human activities towards the modernist vision of "machine à habiter" of Le Corbusier, where the technological content adds the capability of learning from users' behavior and environmental variables to adapt itself to achieve major goals such as user comfort, energy-saving, flexible functionality, high durability, and good maintainability. The concept is based on digital frameworks and IoT networks towards the concept of a smart city.

explainable post occupancy --- humanoid robot --- lighting simulation software --- BIM --- openBIM --- IFC --- IoT --- sensors --- cognitive buildings --- asset management --- digital twin --- BEM --- simulation modelling --- dynamic simulation --- Building Information Modelling (BIM) --- Internet of Things (IoT) --- facility management --- cyber-physical systems --- Building Management System --- Digital Twin --- Post-Occupancy Evaluations --- cognitive --- digital twins --- building lifecycle management --- artificial intelligence --- decision support --- self-learning --- optimization --- building performance simulation --- lighting simulation --- lighting quality --- visual comfort --- office field study --- evidence-based design --- building information modeling --- HVAC --- fan coil --- Internet of Things --- predictive maintenance --- fault detection --- smart building --- sustainable building --- construction projects --- BIM implementation --- stakeholders --- barriers --- construction product --- servitization --- level of evidence --- level curves --- ground slopes --- embankments --- road and rail design --- n/a

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This volume provides unique views of combustion from many technical and international research perspectives.

hydrate ignition --- lean flames --- Atkinson cycle --- heavy metals --- iso-octane --- quantitative reaction pathway diagrams --- watery flames --- CeO2 doping --- hydrogen yield --- climate change --- mitigation --- computational fluid dynamics --- solid fuel --- cleaner combustion --- GRI-Mech 3.0 --- steam methane reformer --- emission characteristics --- flue gas mercury removal --- chemical analysis --- combustion --- Lewis number --- powder coke --- methane --- hydrate flame spectrum --- oxidizer ratio --- fluidized bed --- swirling burner --- CFD --- methane clathrate --- fuel rich/lean combustion --- general correlations --- control system efficiency --- MP-PIC method --- wall shear stress --- activated carbon sorbent --- density functional theory(DFT) calculations --- energy management --- self-similar spherical flame propagation --- bioethanol --- biofuel burner --- ultra-lean methane flame --- NO emissions --- tubular diffusion flame --- flaring angle --- methane–air combustion --- methane/air --- low load --- short stroke engine --- porous plate reactor --- combustion adjustment --- ecological fuels --- field study --- air-pollution control --- methane hydrate --- gas hydrate --- battery recycling --- hydrate combustion --- oxy-fuel combustion --- high-pressure turbulent burning velocity --- tube surface temperature --- PIV --- cooking stove

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In recent years, the industrial environment has been changing radically due to the introduction of concepts and technologies based on the fourth industrial revolution, also known as Industry 4.0. After the introduction of Industry 4.0 in large enterprises, SMEs have moved into the focus, as they are the backbone of many economies. Small organizations are increasingly proactive in improving their operational processes, which is a good starting point for introducing the new concepts of Industry 4.0. The readiness of SME-adapted Industry 4.0 concepts and the organizational capability of SMEs to meet this challenge exist only in some areas. This reveals the need for further research and action plans for preparing SMEs in a technical and organizational direction. Therefore, special research and investigations are needed for the implementation of Industry 4.0 technologies and concepts in SMEs. SMEs will only achieve Industry 4.0 by following SME-customized implementation strategies and approaches and realizing SME-adapted concepts and technological solutions. Thus, this Special Issue represents a collection of theoretical models as well as practical case studies related to the introduction of Industry 4.0 concepts in small- and medium-sized enterprises.

latent semantic analysis --- virtual quality management --- concept investigation --- concept disambiguation --- knowledge discovery --- sustainable methodologies --- small and medium sized enterprises --- material handling systems --- simulation --- ARENA®, time study --- overall equipment effectiveness --- manufacturing performance --- Industry 4.0 --- manufacturing sustainability --- manufacturing process model --- business process management --- hierarchical clustering --- similarity --- BPMN --- human factors --- cyber-physical systems --- cyber-physical production systems --- anthropocentric design --- Operator 4.0 --- human–machine interaction --- energy efficient operation --- manufacturing system --- stochastic event --- digital twin --- Max-plus Algebra --- MATLAB-Simulink --- advanced manufacturing --- industry 4.0 --- SME --- technology adoption model --- assembly supply chain --- sustainability --- complexity indicators --- testing criteria --- SMEs --- e-business modelling --- LSP Lifecycle Model --- Quality Function Deployment --- Best-Worst Method --- Internet of Things --- India --- awareness --- small and medium-sized enterprises --- assessment model --- collaborative robotics --- physical ergonomics --- human-robot collaboration --- human-centered design --- assembly --- small and medium sized enterprise --- positive complexity --- negative complexity --- infeasible configurations --- product platform --- customer’s perception --- assessment --- field study --- smart manufacturing --- cloud platform --- artificial intelligence --- machine learning --- deep learning --- smart logistics --- logistics 4.0 --- smart technologies --- sustainable agriculture --- plant factory