LEADER 05089nam 2201249z- 450 001 9910557551103321 005 20210501 035 $a(CKB)5400000000044095 035 $a(oapen)https://directory.doabooks.org/handle/20.500.12854/68285 035 $a(oapen)doab68285 035 $a(EXLCZ)995400000000044095 100 $a20202105d2021 |y 0 101 0 $aeng 135 $aurmn|---annan 181 $ctxt$2rdacontent 182 $cc$2rdamedia 183 $acr$2rdacarrier 200 00$aBuilding Energy Audits-Diagnosis and Retrofitting 210 $aBasel, Switzerland$cMDPI - Multidisciplinary Digital Publishing Institute$d2021 215 $a1 online resource (298 p.) 311 08$a3-03943-829-8 311 08$a3-03943-830-1 330 $aThe book "Building Energy Audits-Diagnosis and Retrofitting" is a collection of twelve papers that focus on the built environment in order to systematically collect and analyze relevant data for the energy use profile of buildings and extended for the sustainability assessment of the built environment. The contributions address historic buildings, baselines for non-residential buildings from energy performance audits, and from in-situ measurements, monitoring, and analysis of data, and verification of energy saving and model calibration for various building types. The works report on how to diagnose existing problems and identify priorities, assess, and quantify the opportunities and measures that improve the overall building performance and the environmental quality and well-being of occupants in non-residential buildings and houses. Several case studies and lessons learned from the field are presented to help the readers identify, quantify, and prioritize effective energy conservation and efficiency measures. Finally, a new urban sustainability audit and rating method of the built environment addresses the complexities of the various issues involved, providing practical tools that can be adapted to match local priorities in order to diagnose and evaluate the current state and future scenarios towards meeting specific sustainable development goals and local priorities. 606 $aResearch & information: general$2bicssc 610 $aairing 610 $aassessment tools 610 $aaudit 610 $abaselines 610 $abenchmarks 610 $abrick 1 610 $abuilding energy simulation 610 $abuildings 610 $abuilt environment 610 $acarbon emission intensities 610 $acitizen involvement 610 $aco-ownership in renewable energies 610 $adaylight 610 $adecision-making process 610 $ademand response 610 $adynamic conditions 610 $aelectricity consumption 610 $aembodied energy 610 $aembodied energy intensity (EEI) 610 $aenergetic rehabilitation 4 610 $aenergy audits 610 $aenergy community (EC) 610 $aenergy consumption 610 $aenergy efficiency measures 610 $aenergy performance 610 $aenergy performance certificates 610 $aenergy recovery time 610 $aenergy retrofit 610 $aenergy use intensities 610 $aenergy use intensity (EUI) 610 $aEPCs 610 $aEUI 610 $afeature selection 610 $afield measurements 610 $afinal energy 610 $aheat flow 3 610 $aHeLLo 610 $ahistoric wall 610 $ahome energy management system 610 $ahuman comfort factor 610 $ahygrothermal measurement 610 $ahygrothermal simulation 610 $ain situ 610 $aindoor climate 610 $akey performance indicators 610 $aKPIs 610 $alighting 610 $alighting control 610 $amachine learning 610 $amoisture 2 610 $aneighbourhoods 610 $anon-destructive test 610 $anon-destructive test 5 610 $anon-residential buildings 610 $anonresidential buildings 610 $aoccupancy behaviour 610 $aoccupant preferences 610 $aoccupant satisfaction 610 $aoperational energy 610 $aphotosensor 610 $apost-occupancy evaluation 610 $aprediction of energy consumption 610 $aprimary energy 610 $arenewable energy sources (RESs) 610 $arenovations 610 $aretrofitting 610 $aschool building 610 $aschool buildings 610 $asingle-family houses 610 $asurvey 610 $asustainability 610 $athermal comfort 610 $athermo-modernization 610 $avalidation 610 $avisual comfort 610 $awindows and door opening 615 7$aResearch & information: general 700 $aBalaras$b Constantinos A$4edt$01289240 702 $aBalaras$b Constantinos A$4oth 906 $aBOOK 912 $a9910557551103321 996 $aBuilding Energy Audits-Diagnosis and Retrofitting$93021127 997 $aUNINA LEADER 04668nam 2200469z- 450 001 9910161648403321 005 20210211 035 $a(CKB)3710000001041980 035 $a(oapen)https://directory.doabooks.org/handle/20.500.12854/43710 035 $a(oapen)doab43710 035 $a(EXLCZ)993710000001041980 100 $a20202102d2016 |y 0 101 0 $aeng 135 $aurmn|---annan 181 $ctxt$2rdacontent 182 $cc$2rdamedia 183 $acr$2rdacarrier 200 00$aComputational Systems Biology of Pathogen-Host Interactions 210 $cFrontiers Media SA$d2016 215 $a1 online resource (198 p.) 225 1 $aFrontiers Research Topics 311 08$a2-88919-821-9 330 $aA thorough understanding of pathogenic microorganisms and their interactions with host organisms is crucial to prevent infectious threats due to the fact that Pathogen-Host Interactions (PHIs) have critical roles in initiating and sustaining infections. Therefore, the analysis of infection mechanisms through PHIs is indispensable to identify diagnostic biomarkers and next-generation drug targets and then to develop strategic novel solutions against drug-resistance and for personalized therapy. Traditional approaches are limited in capturing mechanisms of infection since they investigate hosts or pathogens individually. On the other hand, the systems biology approach focuses on the whole PHI system, and is more promising in capturing infection mechanisms. Here, we bring together studies on the below listed sections to present the current picture of the research on Computational Systems Biology of Pathogen-Host Interactions: - Computational Inference of PHI Networks using Omics Data - Computational Prediction of PHIs - Text Mining of PHI Data from the Literature - Mathematical Modeling and Bioinformatic Analysis of PHIs Computational Inference of PHI Networks using Omics Data Gene regulatory, metabolic and protein-protein networks of PHI systems are crucial for a thorough understanding of infection mechanisms. Great advances in molecular biology and biotechnology have allowed the production of related omics data experimentally. Many computational methods are emerging to infer molecular interaction networks of PHI systems from the corresponding omics data. Computational Prediction of PHIs Due to the lack of experimentally-found PHI data, many computational methods have been developed for the prediction of pathogen-host protein-protein interactions. Despite being emerging, currently available experimental PHI data are far from complete for a systems view of infection mechanisms through PHIs. Therefore, computational methods are the main tools to predict new PHIs. To this end, the development of new computational methods is of great interest. Text Mining of PHI Data from Literature Despite the recent development of many PHI-specific databases, most data relevant to PHIs are still buried in the biomedical literature, which demands for the use of text mining techniques to unravel PHIs hidden in the literature. Only some rare efforts have been performed to achieve this aim. Therefore, the development of novel text mining methods specific for PHI data retrieval is of key importance for efficient use of the available literature. Mathematical Modeling and Bioinformatic Analysis of PHIs After the reconstruction of PHI networks experimentally and/or computationally, their mathematical modeling and detailed computational analysis is required using bioinformatics tools to get insights on infection mechanisms. Bioinformatics methods are increasingly applied to analyze the increasing amount of experimentally-found and computationally-predicted PHI data. Acknowledgements: We, editors of this e-book, acknowledge Emrah Nikerel (Yeditepe University, Turkey) and Arzucan O?zgu?r (Bogaazic?i University, Turkey) for their contributions during the initiation of the Research Topic. 606 $aMicrobiology (non-medical)$2bicssc 610 $abioinformatics 610 $aComputational Biology 610 $aConstraint-based modeling 610 $agene regulatory network 610 $aImage-based Systems Biology 610 $aNetwork Inference 610 $aOMICS data 610 $apathogen-host interaction 610 $aprotein-protein interaction 610 $atext mining 615 7$aMicrobiology (non-medical) 700 $aReinhard Guthke$4auth$01291859 702 $aSaliha Durmus$4auth 702 $aTunahan Cak?r$4auth 906 $aBOOK 912 $a9910161648403321 996 $aComputational Systems Biology of Pathogen-Host Interactions$93022009 997 $aUNINA