02807nam 2200649 a 450 991097444860332120240516121117.097866132934979781283293495128329349897819078306171907830618(CKB)2550000000058166(EBL)861981(OCoLC)772077899(SSID)ssj0000571267(PQKBManifestationID)12199143(PQKBTitleCode)TC0000571267(PQKBWorkID)10618252(PQKB)11482513(MiAaPQ)EBC861981(Au-PeEL)EBL861981(CaPaEBR)ebr10506623(CaONFJC)MIL329349(Perlego)1302074(EXLCZ)99255000000005816620111205d2011 uy 0engurcn|||||||||txtccrSelf assessment in musculoskeletal pathology x-rays /Karen Sakthivel-Wainford1st ed.Keswick, Cumbria M&K Pub.20111 online resource (291 p.)X-ray interpretation, 4Description based upon print version of record.9781905539611 1905539614 Includes bibliographical references and index.Cover; Prelims; Contents; List of figures and tables; Acknowledgements; Introduction; Chapter 1 Arthritis; Chapter 2 Osteoporosis; Chapter 3 Bone Tumours; Chapter 4 Avascular Necrosis and the Osteochondroses; Chapter 5 Arthropathies; Chapter 6 Tumours; Chapter 7 Metabolic Bone Disease; Chapter 8 Miscellaneous Cases; Chapter 9 Mixed Cases; Reading List and Bibliography; IndexToday many radiographers are trained to report on trauma radiographs. Universities are also training student radiographers to comment on trauma radiographs. It is useful, in some cases essential, that whilst we review the trauma radiograph we also recognise and note any appropriate pathology. For instance a patient attends Accident and Emergency with pain in their knee for several weeks following trauma; the radiographs show no fracture but some signs of a malignant bony tumour, which on further investigation is an osteo sarcoma. As with the other books in the series, this book starts with sevX-ray interpretation, 4X-raysMusculoskeletal systemX-rays.Musculoskeletal system.616.7075Sakthivel-Wainford Karen1805619MiAaPQMiAaPQMiAaPQBOOK9910974448603321Self assessment in musculoskeletal pathology x-rays4354325UNINA04741nam 22007575 450 991025460600332120200630105314.0981-287-796-710.1007/978-981-287-796-3(CKB)3710000000516109(EBL)4098032(SSID)ssj0001585457(PQKBManifestationID)16263204(PQKBTitleCode)TC0001585457(PQKBWorkID)14864515(PQKB)11630025(DE-He213)978-981-287-796-3(MiAaPQ)EBC4098032(PPN)190536934(EXLCZ)99371000000051610920151118d2016 u| 0engur|n|---|||||txtccrProbing Cosmic Dark Matter and Dark Energy with Weak Gravitational Lensing Statistics /by Masato Shirasaki1st ed. 2016.Singapore :Springer Singapore :Imprint: Springer,2016.1 online resource (144 p.)Springer Theses, Recognizing Outstanding Ph.D. Research,2190-5053"Doctoral Thesis accepted by The University of Tokyo, Tokyo, Japan"--Title page.981-287-795-9 Includes bibliographical references at the end of each chapters.Introduction to observational cosmology -- Structure formation in the universe -- Weak gravitational lensing -- Weak lensing morphological analysis -- Cross correlation with dark matter annihilation sources -- Summary and conclusion.In this book the applicability and the utility of two statistical approaches for understanding dark energy and dark matter with gravitational lensing measurement are introduced.For cosmological constraints on the nature of dark energy, morphological statistics called Minkowski functionals (MFs) to extract the non-Gaussian information of gravitational lensing are studied. Measuring lensing MFs from the Canada–France–Hawaii Telescope Lensing survey (CFHTLenS), the author clearly shows that MFs can be powerful statistics beyond the conventional approach with the two-point correlation function. Combined with the two-point correlation function, MFs can constrain the equation of state of dark energy with a precision level of approximately 3–4 % in upcoming surveys with sky coverage of 20,000 square degrees. On the topic of dark matter, the author studied the cross-correlation of gravitational lensing and the extragalactic gamma-ray background (EGB). Dark matter annihilation is among the potential contributors to the EGB. The cross-correlation is a powerful probe of signatures of dark matter annihilation, because both cosmic shear and gamma-ray emission originate directly from the same dark matter distribution in the universe. The first measurement of the cross-correlation using a real data set obtained from CFHTLenS and the Fermi Large Area Telescope was performed. Comparing the result with theoretical predictions, an independent constraint was placed on dark matter annihilation. Future lensing surveys will be useful to constrain on the canonical value of annihilation cross section for a wide range of mass of dark matter.Springer Theses, Recognizing Outstanding Ph.D. Research,2190-5053AstronomyAstrophysicsPhysical measurementsMeasurementStatistical physicsDynamicsAstronomy, Astrophysics and Cosmologyhttps://scigraph.springernature.com/ontologies/product-market-codes/P22006Measurement Science and Instrumentationhttps://scigraph.springernature.com/ontologies/product-market-codes/P31040Complex Systemshttps://scigraph.springernature.com/ontologies/product-market-codes/P33000Statistical Physics and Dynamical Systemshttps://scigraph.springernature.com/ontologies/product-market-codes/P19090Astronomy.Astrophysics.Physical measurements.Measurement.Statistical physics.Dynamics.Astronomy, Astrophysics and Cosmology.Measurement Science and Instrumentation.Complex Systems.Statistical Physics and Dynamical Systems.523.112Shirasaki Masatoauthttp://id.loc.gov/vocabulary/relators/aut816198MiAaPQMiAaPQMiAaPQBOOK9910254606003321Probing Cosmic Dark Matter and Dark Energy with Weak Gravitational Lensing Statistics1821458UNINA