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This open access book describes a BIM-based toolkit that has been developed according to the latest research activities on building information modelling and semantic interoperability to optimize the building process. It highlights the impacts of using such new tools to fast renovation activities starting from the decision-making and design stages to the construction site management with the possibility to monitor occupants' and owners’ feedback during the realization process. In this process, a framework has been developed and implemented to allow stakeholders involved in a renovation project to efficiently compile, maintain, and add data about (i) building elements, (ii) building services systems, (iii) tenants, operators, and owners of the building, and (iv) current and predicted performance of the building from the various data sources available. The framework applies and specializes the existing practices in the Semantic Web, Linked Data, and ontology domain to the management of renovation projects. It has been designed to be open so that any system which implements the required functions and uses the specified conventions will be able to achieve semantic interoperability with other framework-compliant systems in the renovation domain. Finally, this book represents the validation process of the toolkit that has been held in three demo sites: a social housing building in Italy and two private residential buildings in Poland and Finland. The outcome shows that the toolkit facilitates the renovation process with relevant reductions of time, costs, and energy consumption and that the inhabitants can take advantage of the increase in building performances, quality, and comfort.

Building construction & materials --- Information technology: general issues --- Sustainability --- renovation process --- Semantic Interoperability --- BIM management system --- HVAC design

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In recent decades, independent national and international research programs have revealed possible reasons behind the death of managed honey bee colonies worldwide. Such losses are not due to a single factor, but instead are due to highly complex interactions between various internal and external influences, including pests, pathogens, honey bee stock diversity, and environmental changes. Reduced honey bee vitality and nutrition, exposure to agrochemicals, and the quality of colony management contribute to reduced colony survival in beekeeping operations. Our Special Issue (SI) on ‘’Monitoring of Honey Bee Colony Losses” aims to address the specific challenges that honey bee researchers and beekeepers face. This SI includes four reviews, with one being a meta-analysis that identifies gaps in the current and future directions for research into honey bee colonies’ mortalities. Other review articles include studies regarding the impact of numerous factors on honey bee mortality, including external abiotic factors (e.g., winter conditions and colony management) as well as biotic factors such as attacks by Vespa velutina and Varroa destructor.

Technology: general issues --- Biotechnology --- Apis mellifera --- honey bee colony losses --- biotic factors --- abiotic factors --- varroa mite detection --- diagnosis --- infestation --- mortality --- control --- organic treatment --- Apis cerana --- agriculture --- forests --- home garden --- neonicotinoid --- Tetragonula laeviceps --- Vespa velutina --- alien driver --- honey bee --- damage --- pollinator --- populations under study --- biological effects --- stress --- experimental methods --- techniques --- honey bees --- Varroa destructor --- experimental apiaries --- varroacidal efficacy --- VMP --- honeybee mortality incidents --- pesticide --- survey --- LC-MS/MS --- GC-MS/MS --- hydroxymethylfurfural --- cell death --- immunohistochemistry --- Nosema ceranae --- corn --- honeybee colony --- monitoring hive --- neonicotinoids --- oilseed rape --- sunflower --- varroa control --- colony losses --- forage --- beekeeping --- citizen science --- overwintering --- monitoring --- honey bee diseases --- stressors --- pathology --- honey bee mortalities --- colonies management --- BPMN --- hives monitoring --- IoT --- modeling & simulation --- interoperability --- sensors --- honeybee behavior --- Industry 4.0 --- workflow --- Apis mellifera --- honey bee colony losses --- biotic factors --- abiotic factors --- varroa mite detection --- diagnosis --- infestation --- mortality --- control --- organic treatment --- Apis cerana --- agriculture --- forests --- home garden --- neonicotinoid --- Tetragonula laeviceps --- Vespa velutina --- alien driver --- honey bee --- damage --- pollinator --- populations under study --- biological effects --- stress --- experimental methods --- techniques --- honey bees --- Varroa destructor --- experimental apiaries --- varroacidal efficacy --- VMP --- honeybee mortality incidents --- pesticide --- survey --- LC-MS/MS --- GC-MS/MS --- hydroxymethylfurfural --- cell death --- immunohistochemistry --- Nosema ceranae --- corn --- honeybee colony --- monitoring hive --- neonicotinoids --- oilseed rape --- sunflower --- varroa control --- colony losses --- forage --- beekeeping --- citizen science --- overwintering --- monitoring --- honey bee diseases --- stressors --- pathology --- honey bee mortalities --- colonies management --- BPMN --- hives monitoring --- IoT --- modeling & simulation --- interoperability --- sensors --- honeybee behavior --- Industry 4.0 --- workflow

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It is increasingly being recognized that land use and land cover changes driven by anthropogenic pressures are impacting terrestrial and aquatic ecosystems and their services, human society, and human livelihoods and well-being. This Special Issue contains 12 original papers covering various issues related to land use and land use changes in various parts of the world (see references), with the purpose of providing a forum to exchange ideas and progress in related areas. Research topics include land use targets, dynamic modelling and mapping using satellite images, pressures from energy production, deforestation, impacts on ecosystem services, aboveground biomass evaluation, and investigations on libraries of legends and classification systems.

Environmental monitoring --- savannah --- multifunctionality --- protected areas --- conservation --- airborne laser scanning --- aboveground woody biomass --- CORINE land cover --- mapping of changes --- GIS tools --- land cover flows --- Low Tatras National Park --- land use and land cover --- ecosystem service value --- Google Earth Engine (GEE) --- forest fragmentation --- transboundary landscape --- Himalaya --- land-cover change --- MSPA --- cluster analysis --- land use management --- synthesis of land use/land cover definitions --- meta-analysis studies in land use/land cover --- challenges and knowledge gaps in land use/land cover assessments --- literature review --- land use change --- modeling --- scenario --- deforestation --- DINAMICA EGO --- PFBC landscapes --- Democratic Republic of the Congo --- tree diversity --- ecosystem resilience --- native tree --- urban environment --- urbanization --- land cover --- land use --- change mapping --- land use pressures --- energy production --- forestry --- caatinga domain --- digital classification --- remote sensing --- land consumption --- land re-naturalization --- developed land recycling --- urban land use efficiency --- interoperability --- standards --- geospatial --- semantic ontology --- harmonization --- classification --- urban growth --- land cover change --- driving forces --- n/a

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This book is about JIDOKA, a Japanese management technique coined by Toyota that consists of imbuing machines with human intelligence. The purpose of this compilation of research articles is to show industrial leaders innovative cases of digitization of value creation processes that have allowed them to improve their performance in a sustainable way. This book shows several applications of JIDOKA in the quest towards an integration of human and AI within Industry 4.0 Cyber Physical Manufacturing Systems. From the use of artificial intelligence to advanced mathematical models or quantum computing, all paths are valid to advance in the process of human–machine integration.

Technology: general issues --- History of engineering & technology --- healthy operator 4.0 --- human–cyber–physical system --- industrial internet of things --- industry 4.0 --- smart workplaces --- EEG sensors --- manufacturing systems --- shopfloor management --- machine learning --- deep learning --- reference architecture model --- interoperability --- digital twin --- distributed ledger technology --- GDPR --- RAMI 4.0 --- LASFA --- quantum computing --- strategic organizational design --- Industry 4.0 --- complex networks --- cyber-physical systems --- lean management systems --- quantum strategic organizational design --- quantum circuits --- quantum simulation --- JIDOKA --- Operator 4.0 --- process variability --- integration explaining variability --- quantum approximate optimization algorithm --- value–stream networks --- optimization --- maintenance interval --- maintenance model --- semi-Markov process --- right-censored data --- finite horizon --- maintenance cost --- Cyber-Physical Systems --- Lean Manufacturing --- Directed Acyclic Graphs --- scikit-learn --- pipegraph --- machine learning models

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In recent decades, independent national and international research programs have revealed possible reasons behind the death of managed honey bee colonies worldwide. Such losses are not due to a single factor, but instead are due to highly complex interactions between various internal and external influences, including pests, pathogens, honey bee stock diversity, and environmental changes. Reduced honey bee vitality and nutrition, exposure to agrochemicals, and the quality of colony management contribute to reduced colony survival in beekeeping operations. Our Special Issue (SI) on ‘’Monitoring of Honey Bee Colony Losses” aims to address the specific challenges that honey bee researchers and beekeepers face. This SI includes four reviews, with one being a meta-analysis that identifies gaps in the current and future directions for research into honey bee colonies’ mortalities. Other review articles include studies regarding the impact of numerous factors on honey bee mortality, including external abiotic factors (e.g., winter conditions and colony management) as well as biotic factors such as attacks by Vespa velutina and Varroa destructor.

Apis mellifera --- honey bee colony losses --- biotic factors --- abiotic factors --- varroa mite detection --- diagnosis --- infestation --- mortality --- control --- organic treatment --- Apis cerana --- agriculture --- forests --- home garden --- neonicotinoid --- Tetragonula laeviceps --- Vespa velutina --- alien driver --- honey bee --- damage --- pollinator --- populations under study --- biological effects --- stress --- experimental methods --- techniques --- honey bees --- Varroa destructor --- experimental apiaries --- varroacidal efficacy --- VMP --- honeybee mortality incidents --- pesticide --- survey --- LC-MS/MS --- GC-MS/MS --- hydroxymethylfurfural --- cell death --- immunohistochemistry --- Nosema ceranae --- corn --- honeybee colony --- monitoring hive --- neonicotinoids --- oilseed rape --- sunflower --- varroa control --- colony losses --- forage --- beekeeping --- citizen science --- overwintering --- monitoring --- honey bee diseases --- stressors --- pathology --- honey bee mortalities --- colonies management --- BPMN --- hives monitoring --- IoT --- modeling & simulation --- interoperability --- sensors --- honeybee behavior --- Industry 4.0 --- workflow