LEADER 01803nam 2200397 n 450 001 996392101003316 005 20200824121347.0 035 $a(CKB)4940000000104006 035 $a(EEBO)2248540361 035 $a(UnM)99849277e 035 $a(UnM)99849277 035 $a(EXLCZ)994940000000104006 100 $a19920129d1632 uy | 101 0 $aeng 135 $aurbn||||a|bb| 200 14$aThe Isle of Man: or, the legall proceeding in Man-shire against sinne$b[electronic resource] $eWherein, by way of a continued allegorie, the chiefe malefactors disturbing both Church and Common-wealth, are detected and attached; with their arraignement, and iudiciall triall, according to the lawes of England. The spirituall vse thereof, with an apologie for the manner of handling, most necessary to be first read, for direction in the right use of the allegory throughout, is added in the end. By R.B. rector of Batcomb, Somers 205 $aThe eighth edition. 210 $aLondon $cPrinted by G. M[iller] for Edward Blackmore, and are to be sold at Pauls Church-yard at the signe of the Angell$d1632 215 $a[24], 262, [24] p 300 $aR.B = Richard Bernard. 300 $aThe "Isle of Man" in this work is an allegorical place. 300 $aPrinter's name from STC. 300 $aWith 12 final contents leaves. 300 $aReproduction of the original in Cambridge University Library. 330 $aeebo-0021 606 $aSin$vEarly works to 1800 615 0$aSin 700 $aBernard$b Richard$f1568-1641.$0793131 801 0$bCu-RivES 801 1$bCu-RivES 801 2$bCStRLIN 801 2$bWaOLN 906 $aBOOK 912 $a996392101003316 996 $aThe isle of man, or, The legall proceeding in Man-shire against sinne$92307615 997 $aUNISA LEADER 04383nam 2200721 a 450 001 9910971564203321 005 20251117095618.0 010 $a9786613653277 010 $a9780309254199 010 $a0309254191 010 $a9781280676345 010 $a1280676345 010 $a9780309254175 010 $a0309254175 035 $a(CKB)2550000000103454 035 $a(EBL)3378980 035 $a(SSID)ssj0000655267 035 $a(PQKBManifestationID)11395522 035 $a(PQKBTitleCode)TC0000655267 035 $a(PQKBWorkID)10631237 035 $a(PQKB)10041598 035 $a(Au-PeEL)EBL3378980 035 $a(CaPaEBR)ebr10565367 035 $a(CaONFJC)MIL365327 035 $a(OCoLC)46859751 035 $a(NBER)w17455 035 $a(MiAaPQ)EBC3378980 035 $a(Perlego)4740412 035 $a(BIP)38954488 035 $a(EXLCZ)992550000000103454 100 $a20120614d2012 uy 0 101 0 $aeng 135 $aurcn||||||||| 181 $ctxt$2rdacontent 182 $cc$2rdamedia 183 $acr$2rdacarrier 200 10$aDeterrence and the death penalty /$fCommittee on Deterrence and the Death Penalty, Committee on Law and Justice, Division of Behavioral and Social Sciences and Education, National Research Council of the National Academies ; Daniel S. Nagin and John V. Pepper, editors 205 $a1st ed. 210 $aWashington, D.C. $cNational Academies Press$d2012 215 $a1 online resource (144 pages) 300 $aDescription based upon print version of record. 311 08$a9780309254168 311 08$a0309254167 320 $aIncludes bibliographical references. 327 $a""Front Matter""; ""IN MEMORIAM: James Q. Wilson 1931-2012""; ""Preface""; ""Contents""; ""Summary""; ""1 Introduction""; ""2 Capital Punishment in the Post-Gregg Era""; ""3 Determining the Deterrent Effect of Capital Punishment: Key Issues""; ""4 Panel Studies""; ""5 Time-Series Studies""; ""6 Challenges to Identifying Deterrent Effects""; ""Appendix: Biographical Sketches of Committee Members and Staff"" 330 $aMany studies during the past few decades have sought to determine whether the death penalty has any deterrent effect on homicide rates. Researchers have reached widely varying, even contradictory, conclusions. Some studies have concluded that the threat of capital punishment deters murders, saving large numbers of lives; other studies have concluded that executions actually increase homicides; still others, that executions have no effect on murder rates. Commentary among researchers, advocates, and policymakers on the scientific validity of the findings has sometimes been acrimonious. Against this backdrop, the National Research Council report Deterrence and the Death Penalty assesses whether the available evidence provides a scientific basis for answering questions of if and how the death penalty affects homicide rates. This new report from the Committee on Law and Justice concludes that research to date on the effect of capital punishment on homicide rates is not useful in determining whether the death penalty increases, decreases, or has no effect on these rates. The key question is whether capital punishment is less or more effective as a deterrent than alternative punishments, such as a life sentence without the possibility of parole. Yet none of the research that has been done accounted for the possible effect of noncapital punishments on homicide rates. The report recommends new avenues of research that may provide broader insight into any deterrent effects from both capital and noncapital punishments. 606 $aPunishment in crime deterrence 606 $aCapital punishment 615 0$aPunishment in crime deterrence. 615 0$aCapital punishment. 676 $a364.6601 701 $aNagin$b Daniel S$01750152 701 $aPepper$b John V$01813362 712 02$aNational Research Council (U.S.).$bCommittee on Deterrence and the Death Penalty. 712 02$aNational Research Council (U.S.).$bCommittee on Law and Justice. 712 02$aNational Research Council (U.S.).$bDivision of Behavioral and Social Sciences and Education. 801 0$bMiAaPQ 801 1$bMiAaPQ 801 2$bMiAaPQ 906 $aBOOK 912 $a9910971564203321 996 $aDeterrence and the death penalty$94366427 997 $aUNINA LEADER 06716nam 22007575 450 001 9910483557803321 005 20251226195712.0 010 $a3-642-41083-9 024 7 $a10.1007/978-3-642-41083-3 035 $a(CKB)3710000000019180 035 $a(SSID)ssj0001010849 035 $a(PQKBManifestationID)11640174 035 $a(PQKBTitleCode)TC0001010849 035 $a(PQKBWorkID)11004491 035 $a(PQKB)11373727 035 $a(DE-He213)978-3-642-41083-3 035 $a(MiAaPQ)EBC3093208 035 $a(PPN)172430461 035 $a(EXLCZ)993710000000019180 100 $a20130918d2013 u| 0 101 0 $aeng 135 $aurnn#008mamaa 181 $ctxt 182 $cc 183 $acr 200 10$aAbdominal Imaging. Computational and Clinical Applications $e5th International Workshop, Held in Conjunction with MICCAI 2013, Nagoya, Japan, September 22, 2013, Proceedings /$fedited by Hiroyuki Yoshida, Simon Warfield, Michael Vannier 205 $a1st ed. 2013. 210 1$aBerlin, Heidelberg :$cSpringer Berlin Heidelberg :$cImprint: Springer,$d2013. 215 $a1 online resource (XIV, 300 p. 147 illus.) 225 1 $aImage Processing, Computer Vision, Pattern Recognition, and Graphics,$x3004-9954 ;$v8198 300 $aBibliographic Level Mode of Issuance: Monograph 311 08$a3-642-41082-0 327 $aA Model Development Pipeline for Crohn?s Disease Severity Assessment from Magnetic Resonance Images -- Spatially Constrained Incoherent Motion (SCIM) Model Improves Quantitative Diffusion-Weighted MRI Analysis of Crohn?s Disease Patients -- Self Similarity Image Registration based on Reorientation of the Hessian -- Registration of Prone and Supine CT Colonography Datasets with Differing Endoluminal Distension -- Spatial Correspondence between Prone and Supine CT Colonography Images: Creating a Reference Standard -- Registration of Temporally Separated CT Colonography Cases -- A Classification-Enhanced Vote Accumulation Scheme for Detecting Colonic Polyps -- A Novel Computer Aided Detection (CADe) Scheme for Colonic Polyps Based on the Structure Decomposition -- Computer-aided Detection of Colorectal Lesions with Super-Resolution CT Colonography: Pilot Evaluation -- Computer-aided Detection of Non-polypoid Flat Lesions in CT Colonography: Observer Performance Study -- Application of Synthetic Sinogram based Low-Dose CT Simulation and Fold-preserving Electronic Cleansing Technique for CT Colonography -- Iterative Reconstruction for Ultra-Low-Dose Laxative-Free CT Colonography -- Global Colon Geometric Structure Analysis Based on Geodesics and Conformal Flattening -- Improved Colon Navigation for Efficient Polyp Detection in Virtual Colonoscopy -- Personalised Estimation of the Arterial Input Function for Improved Pharmacokinetic Modelling of Colorectal Cancer Using dceMRI -- Free-Form Registration Involving Disappearing Structures: Application to Brachytherapy MRI -- Contour-based TVUS-MR Image Registration for Mapping Small Endometrial Implants -- Rigid Registration of Untracked Freehand 2D Ultrasound Sweeps to 3D CT of Liver Tumours -- Multiphase Liver Registration from Geodesic Distance Maps and Biomechanical Modelling -- Fast Renal Cortex Localization by Combining Generalized Hough Transform and Active Appearance Models -- 3D Surface Reconstruction of Organs UsingPatient-Specific Shape Priors in Robot-Assisted Laparoscopic Surgery -- Multi-atlas and Gaussian Mixture Modeling based Perirectal Fat Segmentation from CT Images -- Selective Search and Sequential Detection for Standard Plane Localization in Ultrasound -- Rib Detection in 3D MRI Using Dynamic Programming Based on Vesselness and Ridgeness -- Modeling and Simulation of Soft Tissue Deformation -- Adaptive Confidence Regions of Motion Predictions from Population Exemplar Models -- A Generic, Robust and Fully-automatic Workflow for 3D CT Liver Segmentation -- Tumor Subtype-Specific Parameter Optimization in a Hybrid Active Surface Model for Hepatic Tumor Segmentation of 3D Liver Ultrasonograms -- Continuous-Time Flow-limited Modeling by Convolution Area Property and Differentiation Product Rule in 4-Phase Liver Dynamic Contrast-Enhanced CT -- Use of Tracer Kinetic Model-driven Biomarkers for Monitoring Antiangiogenic Therapy of Hepatocellular Carcinoma in First-pass Perfusion CT -- A Statistical Shape Model for Multiple Organs based on Synthesized-based Learning -- A Survey of Cervix Segmentation Methods in Magnetic Resonance Images. 330 $aThis book constitutes the refereed proceedings of the 5th International Workshop CCAA 2013, held in conjunction with MICCAI 2013, in Nagoya, Japan, in September 2013. The book includes 32 papers which were carefully reviewed and selected from 38 submissions. The topics covered are abdominal atlases, shape analysis and morphology in abdominal structures and organs, detection of anatomical and functional landmarks, dynamic, functional, physiologic, and anatomical abdominal imaging, registration methods for abdominal intra- and inter-patient variability, augmented reality techniques for intervention, clinical applications in radio-frequency ablation, open surgery, and minimally invasive surgery. 410 0$aImage Processing, Computer Vision, Pattern Recognition, and Graphics,$x3004-9954 ;$v8198 606 $aComputer vision 606 $aImage processing$xDigital techniques 606 $aComputer science 606 $aPattern recognition systems 606 $aArtificial intelligence 606 $aComputer Vision 606 $aComputer Imaging, Vision, Pattern Recognition and Graphics 606 $aTheory of Computation 606 $aAutomated Pattern Recognition 606 $aArtificial Intelligence 606 $aComputer Science 615 0$aComputer vision. 615 0$aImage processing$xDigital techniques. 615 0$aComputer science. 615 0$aPattern recognition systems. 615 0$aArtificial intelligence. 615 14$aComputer Vision. 615 24$aComputer Imaging, Vision, Pattern Recognition and Graphics. 615 24$aTheory of Computation. 615 24$aAutomated Pattern Recognition. 615 24$aArtificial Intelligence. 615 24$aComputer Science. 676 $a006.6 676 $a006.37 702 $aYoshida$b Hiroyuki$4edt$4http://id.loc.gov/vocabulary/relators/edt 702 $aWarfield$b Simon$4edt$4http://id.loc.gov/vocabulary/relators/edt 702 $aVannier$b Michael$4edt$4http://id.loc.gov/vocabulary/relators/edt 906 $aBOOK 912 $a9910483557803321 996 $aAbdominal Imaging. Computational and Clinical Applications$92593684 997 $aUNINA