LEADER 01568nam 2200397Ia 450 001 996388307103316 005 20221107211559.0 035 $a(CKB)1000000000636092 035 $a(EEBO)2248533168 035 $a(OCoLC)52528889 035 $a(EXLCZ)991000000000636092 100 $a20030701d1695 uy 0 101 0 $aeng 135 $aurbn||||a|bb| 200 10$aAct allowing the importation of meal from Ireland$b[electronic resource] $eAt Edinburgh the thirteenth day of December, 1695 210 $aEdinburgh $cPrinted by the heirs and successors of Andrew Anderson, Printer to the Kings most excellent Majesty$d1695 215 $a1 sheet ([1] p.) 300 $aCaption title. 300 $aSigned: Gilb. Elliot. Cls. Sti. Concilii. 300 $aReproduction of the original in the National Library of Scotland. 330 $aeebo-0097 606 $aFood law and legislation$zScotland$vEarly works to 1800 606 $aForeign trade regulation$zScotland$vEarly works to 1800 606 $aGrain trade$xLaw and legislation$zIreland$vEarly works to 1800 606 $aGrain trade$xLaw and legislation$zScotland$vEarly works to 1800 608 $aBroadsides$zScotland$y17th century.$2rbgenr 615 0$aFood law and legislation 615 0$aForeign trade regulation 615 0$aGrain trade$xLaw and legislation 615 0$aGrain trade$xLaw and legislation 801 0$bEAE 801 1$bEAE 906 $aBOOK 912 $a996388307103316 996 $aAct allowing the importation of meal from Ireland$92338426 997 $aUNISA LEADER 04837nam 2200637 450 001 9910821117103321 005 20230807193712.0 010 $a0-309-37391-3 010 $a0-309-37389-1 035 $a(CKB)3710000000493111 035 $a(SSID)ssj0001690692 035 $a(PQKBManifestationID)16521365 035 $a(OCoLC)927014485 035 $a(PQKBTitleCode)TC0001690692 035 $a(PQKBWorkID)15048848 035 $a(PQKB)21089431 035 $a(MiAaPQ)EBC5516449 035 $a(Au-PeEL)EBL5516449 035 $a(CaPaEBR)ebr11649053 035 $a(OCoLC)926046683 035 $a(EXLCZ)993710000000493111 100 $a20190228d2015 uy 0 101 0 $aeng 135 $aurcnu|||||||| 181 $ctxt 182 $cc 183 $acr 200 00$aCost, effectiveness, and deployment of fuel economy technologies for light-duty vehicles /$fCommittee on the Assessment of Technologies for Improving Fuel Economy of Light-Duty Vehicles, Phase 2; Board on Energy and Environmental Systems; Division on Engineering and Physical Sciences; National Research Council of the National Academies, contributor 210 1$aWashington, District of Columbia :$cNational Academies Press,$d[2015] 210 4$dİ2015 215 $a1 online resource (xx, 445 pages) $cillustrations 300 $aBibliographic Level Mode of Issuance: Monograph 311 $a0-309-37388-3 320 $aIncludes bibliographical references. 327 $aTechnologies for reducing fuel consumption in spark-ignition engines -- Technologies for reducing fuel consumption in compression-ignition diesel engines -- Electrified powertrains -- Transmissions -- Non-powertrain technologies -- Cost and manufacturing considerations for meeting fuel economy standards -- Estimates of technology costs and fuel consumption reduction effectiveness -- Consumer impacts and acceptance issues -- Overall assessment of CAFE program methodology and design. 330 $a"The light-duty vehicle fleet is expected to undergo substantial technological changes over the next several decades. New powertrain designs, alternative fuels, advanced materials and significant changes to the vehicle body are being driven by increasingly stringent fuel economy and greenhouse gas emission standards. By the end of the next decade, cars and light-duty trucks will be more fuel efficient, weigh less, emit less air pollutants, have more safety features, and will be more expensive to purchase relative to current vehicles. Though the gasoline-powered spark ignition engine will continue to be the dominant powertrain configuration even through 2030, such vehicles will be equipped with advanced technologies, materials, electronics and controls, and aerodynamics. And by 2030, the deployment of alternative methods to propel and fuel vehicles and alternative modes of transportation, including autonomous vehicles, will be well underway. What are these new technologies - how will they work, and will some technologies be more effective than others? Written to inform The United States Department of Transportation's National Highway Traffic Safety Administration (NHTSA) and Environmental Protection Agency (EPA) Corporate Average Fuel Economy (CAFE) and greenhouse gas (GHG) emission standards, this new report from the National Research Council is a technical evaluation of costs, benefits, and implementation issues of fuel reduction technologies for next-generation light-duty vehicles. Cost, Effectiveness, and Deployment of Fuel Economy Technologies for Light-Duty Vehicles estimates the cost, potential efficiency improvements, and barriers to commercial deployment of technologies that might be employed from 2020 to 2030. This report describes these promising technologies and makes recommendations for their inclusion on the list of technologies applicable for the 2017-2025 CAFE standards"--Publisher's description. 606 $aTrucks$zUnited States$xFuel consumption 606 $aAutomobiles$xPower trains$zUnited States 606 $aFuel cell vehicles$zUnited States 606 $aDiesel motor$zUnited States 606 $aHybrid electric vehicles$zUnited States 615 0$aTrucks$xFuel consumption. 615 0$aAutomobiles$xPower trains 615 0$aFuel cell vehicles 615 0$aDiesel motor 615 0$aHybrid electric vehicles 676 $a338.47629253 712 02$aNational Research Council (U.S.).$bBoard on Energy and Environmental Systems, 712 02$aNational Research Council (U.S.).$bDivision on Engineering and Physical Sciences, 801 0$bMiAaPQ 801 1$bMiAaPQ 801 2$bMiAaPQ 906 $aBOOK 912 $a9910821117103321 996 $aCost, effectiveness, and deployment of fuel economy technologies for light-duty vehicles$94010751 997 $aUNINA LEADER 04063nam 22007095 450 001 9910639878803321 005 20251225200553.0 010 $a9783031220364 010 $a3031220366 024 7 $a10.1007/978-3-031-22036-4 035 $a(MiAaPQ)EBC7166043 035 $a(Au-PeEL)EBL7166043 035 $a(CKB)25913685600041 035 $a(DE-He213)978-3-031-22036-4 035 $a(PPN)267813139 035 $a(EXLCZ)9925913685600041 100 $a20221218d2022 u| 0 101 0 $aeng 135 $aurcnu|||||||| 181 $ctxt$2rdacontent 182 $cc$2rdamedia 183 $acr$2rdacarrier 200 10$aAdvances in Conceptual Modeling $eER 2022 Workshops, CMLS, EmpER, and JUSMOD, Hyderabad, India, October 17?20, 2022, Proceedings /$fedited by Renata Guizzardi, Bernd Neumayr 205 $a1st ed. 2022. 210 1$aCham :$cSpringer International Publishing :$cImprint: Springer,$d2022. 215 $a1 online resource (134 pages) 225 1 $aLecture Notes in Computer Science,$x1611-3349 ;$v13650 311 08$aPrint version: Guizzardi, Renata Advances in Conceptual Modeling Cham : Springer International Publishing AG,c2023 9783031220357 320 $aIncludes bibliographical references and index. 327 $aTowards a Model-driven Approach for Big Data Analytics in the Genomics Field -- Conceptual Modeling-based Cardiopathies Data Management -- A Conceptual Model of Health Monitoring Systems Centered on ADLs Performance in Older Adults -- A Comparative Analysis of the completeness and concordance of data sources with cancer-associated information -- A Flexible Automated Pipeline Engine for Transcript-level Quantification from RNA-seq -- An Initial Empirical Assessment of an Ontological Model of the Human Genome -- Unsupervised factor extraction from pretrial detention decisions by Italian and Brazilian Supreme Courts -- Context-Aware Knowledge Extraction from Legal Documents through Zero-Shot Classification -- On the Lack of Legal Regulation in Conceptual Modeling Automated extraction and representation of citation network: a CJEU case-study -- A Rule 74 for Italian judges. 330 $aThis book constitutes the refereed proceedings of three workshops symposia, held at the 41st International Conference on Conceptual Modeling, ER 2022, as a virtual event, in October 2022. The 11 papers deal with topics such as foundations; business information systems; advanced and cross-disciplinary applications, conceptual modeling, information systems and knowledge graphs; data/object management; engineering; and experience. The following workshops are included in this volume: Third International Workshop on Conceptual Modeling for Life Sciences (CMLS), 5th International Workshop on Empirical Methods in Conceptual Modeling (EmpER); and First International Workshop on Digital Justice, Digital Law and Conceptual Modeling (JUSMOD). 410 0$aLecture Notes in Computer Science,$x1611-3349 ;$v13650 606 $aArtificial intelligence 606 $aDatabase management 606 $aData mining 606 $aApplication software 606 $aComputer science 606 $aArtificial Intelligence 606 $aDatabase Management 606 $aData Mining and Knowledge Discovery 606 $aComputer and Information Systems Applications 606 $aTheory of Computation 615 0$aArtificial intelligence. 615 0$aDatabase management. 615 0$aData mining. 615 0$aApplication software. 615 0$aComputer science. 615 14$aArtificial Intelligence. 615 24$aDatabase Management. 615 24$aData Mining and Knowledge Discovery. 615 24$aComputer and Information Systems Applications. 615 24$aTheory of Computation. 676 $a005.74 702 $aGuizzardi$b Renata 702 $aNeumayr$b Bernd 801 0$bMiAaPQ 801 1$bMiAaPQ 801 2$bMiAaPQ 906 $aBOOK 912 $a9910639878803321 996 $aAdvances in Conceptual Modeling$93002016 997 $aUNINA