02869nam 2200649Ia 450 991046158270332120200520144314.01-280-65888-697866136358150-7391-7107-0(CKB)2670000000174807(EBL)886802(OCoLC)845243852(SSID)ssj0000644843(PQKBManifestationID)12248150(PQKBTitleCode)TC0000644843(PQKBWorkID)10680389(PQKB)11440424(MiAaPQ)EBC886802(Au-PeEL)EBL886802(CaPaEBR)ebr10547235(CaONFJC)MIL363581(EXLCZ)99267000000017480720110906d2012 uy 0engur|n|---|||||txtccrThe "other" Karen in Myanmar[electronic resource] ethnic minorities and the struggle without arms /Ardeth Maung ThawnghmungLanham, Md. Lexington Booksc20121 online resource (233 p.)AsiaWorldDescription based upon print version of record.0-7391-8452-0 0-7391-6852-5 Includes bibliographical references and index.Contents; Acknowledgments; Introduction; Acronyms; Chapter 01. Who are the "Other" or "Quiet" Minorities?; Chapter 02. The Emergence of the Karen Ethno-nationalist Movement; Chapter 03. Kawthoolei Karen; Chapter 04. The "Rebel" and the "Accommodator"; Chapter 05. The "Other" Ethno-nationalities in Myanmar/Burma; Chapter 06. Conclusion; Bibliography; Index; About the Author This book is the first study to an offer insight into non-armed, non-insurgent members of ethnic groups that are associated with well-known armed organizations. It analyzes the nature of the relationships between the "quiet" minorities and their "rebel" counterparts and assesses how these intra-ethnic differences and divisions affect the armed resistance movement, negotiation with state authorities, conflict resolution, and political reform. This field-based study of the Karen in Burma also provides theoretical and policy implications for other ethnically polarized countries.</sAsiaWorld.Ethnic conflictBurmaKaren (Southeast Asian people)BurmaMinoritiesBurmaBurmaEthnic relationsElectronic books.Ethnic conflictKaren (Southeast Asian people)Minorities305.895Thawnghmung Ardeth Maung946158MiAaPQMiAaPQMiAaPQBOOK9910461582703321The "other" Karen in Myanmar2137557UNINA04688nam 22006375 450 99646630360331620200701034412.03-030-32778-710.1007/978-3-030-32778-1(CKB)4100000009522987(DE-He213)978-3-030-32778-1(MiAaPQ)EBC6283229(PPN)255938314(EXLCZ)99410000000952298720191008d2019 u| 0engurnn#008mamaatxtrdacontentcrdamediacrrdacarrierSimulation and Synthesis in Medical Imaging[electronic resource] 4th International Workshop, SASHIMI 2019, Held in Conjunction with MICCAI 2019, Shenzhen, China, October 13, 2019, Proceedings /edited by Ninon Burgos, Ali Gooya, David Svoboda1st ed. 2019.Cham :Springer International Publishing :Imprint: Springer,2019.1 online resource (X, 162 p. 78 illus., 60 illus. in color.)Image Processing, Computer Vision, Pattern Recognition, and Graphics ;118273-030-32777-9 Empirical Bayesian Mixture Models for Medical Image Translation -- Improved MR to CT synthesis for PET/MR attenuation correction using Imitation Learning -- Unpaired Multi-Contrast MR Image Synthesis using Generative Adversarial Networks -- Unsupervised Retina Image Synthesis via Disentangled Representation Learning -- Pseudo-normal PET Synthesis with Generative Adversarial Networks for Localising Hypometabolism in Epilepsies -- Breast Mass Detection in Mammograms via Blending Adversarial Learning -- Tunable CT lung nodule synthesis conditioned on background image and semantic features -- Mask2Lesion: Mask-Constrained Adversarial Skin Lesion Image Synthesis -- Towards Annotation-Free Segmentation of Fluorescently Labeled Cell Membranes in Confocal Microscopy Images -- Intelligent image synthesis to attack a segmentation CNN using adversarial learning -- Physics-informed brain MRI segmentation -- 3D Medical Image Synthesis by Factorised Representation and Deformable Model Learning -- Cycle-consistent training for Reducing Negative Jacobian Determinant in Deep Registration Networks -- iSMORE: an iterative self super-resolution algorithm -- An Optical Model of Whole Blood for Detecting Platelets in Lens-Free Images -- Evaluation of the realism of an MRI simulator for stroke lesion prediction using convolutional neural network.This book constitutes the refereed proceedings of the 4th International Workshop on Simulation and Synthesis in Medical Imaging, SASHIMI 2019, held in conjunction with MICCAI 2019, in Shenzhen, China, in October 2019. The 16 full papers presented were carefully reviewed and selected from 21 submissions. The contributions span the following broad categories in alignment with the initial call-for-papers: methods based on generative models or adversarial learning for MRI/CT/PET/microscopy image synthesis, image super resolution, and several applications of image synthesis and simulation for data augmentation, segmentation or lesion detection.Image Processing, Computer Vision, Pattern Recognition, and Graphics ;11827Optical data processingArtificial intelligenceHealth informaticsComputer science—MathematicsImage Processing and Computer Visionhttps://scigraph.springernature.com/ontologies/product-market-codes/I22021Artificial Intelligencehttps://scigraph.springernature.com/ontologies/product-market-codes/I21000Health Informaticshttps://scigraph.springernature.com/ontologies/product-market-codes/I23060Mathematics of Computinghttps://scigraph.springernature.com/ontologies/product-market-codes/I17001Optical data processing.Artificial intelligence.Health informatics.Computer science—Mathematics.Image Processing and Computer Vision.Artificial Intelligence.Health Informatics.Mathematics of Computing.616.0754Burgos Ninonedthttp://id.loc.gov/vocabulary/relators/edtGooya Aliedthttp://id.loc.gov/vocabulary/relators/edtSvoboda Davidedthttp://id.loc.gov/vocabulary/relators/edtMiAaPQMiAaPQMiAaPQBOOK996466303603316Simulation and Synthesis in Medical Imaging2262048UNISA