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Positron Annihilation In Semiconductors: Defect. Krause-rehberg, Leipner**

This comprehensive book reports on recent investigations of lattice imperfections in semiconductors by means of positron annihilation. It reviews positron techniques, and describes the application of these techniques to various kinds of defects, such as vacancies, impurity vacancy complexes and dislocations.

This comprehensive book reports on recent investigations of lattice imperfections in semiconductors by means of positron annihilation. It reviews positron techniques, and describes the application of these techniques to various kinds of defects, such as vacancies, impurity vacancy complexes and dislocations.

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By the author of The Handmaid's Tale and The Testaments\n\nCharmaine sees an advertisement for a project called Positron that promises you a job, a place to live, a bed to sleep in - imagine how appealing that would be if you were working in a dive bar and living in your car. She and her husband, Stan, apply at once.\n\nThe only catch is that once you're in there, you can't get out.\n\nNo one writes the lust and the loves, the wickedness and the weakness of the human heart like the splendid Margaret Atwood.\n\n'Margaret Atwood [is] a living legend' New York Times Book Review\n\n'Gloriously madcap . . . You only pause in your laughter when you realise that, in its constituent parts, the world she depicts here is all too horribly plausible' Stephanie Merritt, Observer\n\n'Her eye for the most unpredictable caprices of the human heart and her narrative fearlessness have made her one of the world's most celebrated novelists' Naomi Alderman, Guardian\n\n'The bestselling author who shot to fame thirty years ago with The Handmaid's Tale is still at her darkly comic best' Sunday Times

This is a practical guide to tomographic image reconstruction with projection data, with strong focus on Computed Tomography (CT) and Positron Emission Tomography (PET). Classic methods such as FBP, ART, SIRT, MLEM and OSEM are presented with modern and compact notation, with the main goal of guiding the reader from the comprehension of the mathematical background through a fast-route to real practice and computer implementation of the algorithms. Accompanied by example data sets, real ready-to-run Python toolsets and scripts and an overview the latest research in the field, this guide will be invaluable for graduate students and early-career researchers and scientists in medical physics and biomedical engineering who are beginners in the field of image reconstruction.\n\n\n\nA top-down guide from theory to practical implementation of PET and CT reconstruction methods, without sacrificing the rigor of mathematical background\nAccompanied by Python source code snippets, suggested exercises, and supplementary ready-to-run examples for readers to download from the CRC Press website\nIdeal for those willing to move their first steps on the real practice of image reconstruction, with modern scientific programming language and toolsets\n\nDaniele Panetta is a researcher at the Institute of Clinical Physiology of the Italian National Research Council (CNR-IFC) in Pisa. He earned his MSc degree in Physics in 2004 and specialisation diploma in Health Physics in 2008, both at the University of Pisa. From 2005 to 2007, he worked at the Department of Physics \"E. Fermi\" of the University of Pisa in the field of tomographic image reconstruction for small animal imaging micro-CT instrumentation. His current research at CNR-IFC has as its goal the identification of novel PET/CT imaging biomarkers for cardiovascular and metabolic diseases. In the field micro-CT imaging, his interests cover applications of three-dimensional morphometry of biosamples and scaffolds for regenerative medicine. He acts as reviewer for scientific journals in the field of Medical Imaging: Physics in Medicine and Biology, Medical Physics, Physica Medica, and others. Since 2012, he is adjunct professor in Medical Physics at the University of Pisa.\n\nNiccolò Camarlinghi is a researcher at the University of Pisa. He obtained his MSc in Physics in 2007 and his PhD in Applied Physics in 2012. He has been working in the field of Medical Physics since 2008 and his main research fields are medical image analysis and image reconstruction. He is involved in the development of clinical, pre-clinical PET and hadron therapy monitoring scanners. At the time of writing this book he was a lecturer at University of Pisa, teaching courses of life-sciences and medical physics laboratory. He regularly acts as a referee for the following journals: Medical Physics, Physics in Medicine and Biology, Transactions on Medical Imaging, Computers in Biology and Medicine, Physica Medica, EURASIP Journal on Image...

Developed specifically for students in the behavioral and brain sciences, this is the only textbook that provides an accessible and practical overview of the range of human neuroimaging techniques. Methods covered include functional and structural magnetic resonance imaging, positron emission tomography, electroencephalography, magnetoencephalography, multimodal imaging, and various brain stimulation methods. Experimental design, image processing, and statistical inference are also addressed, with chapters for both basic and more advanced data analyses. Key concepts are illustrated through research studies on the relationship between brain and behavior, and practice questions are included throughout to test knowledge and aid self-study. Offering just the right amount of detail for understanding how major imaging techniques can be applied to answer neuroscientific questions, and the practical skills needed for future research, this is an essential text for advanced undergraduate and graduate students in psychology, neuroscience, and cognitive science programs taking introductory courses on human neuroimaging.

This atlas is a concise but comprehensive guide to the diverse patterns of response to immunotherapy as observed on Positron Emission Tomography/Computed Tomography (PET/CT) and other conventional imaging modalities, including CT and Magnetic Resonance Imaging (MRI). The purpose for this publication is to fill the gap between the growing clinical relevance and utilization of immunotherapy in medical oncology, mainly based on checkpoint inhibitors, and the need for experienced imagers with reliable tools assessing response to treatment. A series of disease-oriented chapters will present the imaging findings during immunotherapy in the major oncological settings, with helpful comparison of functional (PET/CT) and morphological (CT/MRI) patterns of response in individual cases. To complete the atlas, a dedicated chapter will focus on major pitfalls and immune-related adverse events (irAEs) affecting image interpretation during the course of immunotherapy. The concluding chapter will lastly examine the available data and potential developments of immuno-PET, which is considered as the novel frontier of research in this oncological scenario. The atlas will be of high value for radiologists and nuclear medicine specialists at all levels of experience.

This is a practical guide to tomographic image reconstruction with projection data, with strong focus on Computed Tomography (CT) and Positron Emission Tomography (PET). Classic methods such as FBP, ART, SIRT, MLEM and OSEM are presented with modern and compact notation, with the main goal of guiding the reader from the comprehension of the mathematical background through a fast-route to real practice and computer implementation of the algorithms. Accompanied by example data sets, real ready-to-run Python toolsets and scripts and an overview the latest research in the field, this guide will be invaluable for graduate students and early-career researchers and scientists in medical physics and biomedical engineering who are beginners in the field of image reconstruction.\n\n\n\nA top-down guide from theory to practical implementation of PET and CT reconstruction methods, without sacrificing the rigor of mathematical background\nAccompanied by Python source code snippets, suggested exercises, and supplementary ready-to-run examples for readers to download from the CRC Press website\nIdeal for those willing to move their first steps on the real practice of image reconstruction, with modern scientific programming language and toolsets\n\nDaniele Panetta is a researcher at the Institute of Clinical Physiology of the Italian National Research Council (CNR-IFC) in Pisa. He earned his MSc degree in Physics in 2004 and specialisation diploma in Health Physics in 2008, both at the University of Pisa. From 2005 to 2007, he worked at the Department of Physics \"E. Fermi\" of the University of Pisa in the field of tomographic image reconstruction for small animal imaging micro-CT instrumentation. His current research at CNR-IFC has as its goal the identification of novel PET/CT imaging biomarkers for cardiovascular and metabolic diseases. In the field micro-CT imaging, his interests cover applications of three-dimensional morphometry of biosamples and scaffolds for regenerative medicine. He acts as reviewer for scientific journals in the field of Medical Imaging: Physics in Medicine and Biology, Medical Physics, Physica Medica, and others. Since 2012, he is adjunct professor in Medical Physics at the University of Pisa.\n\nNiccolò Camarlinghi is a researcher at the University of Pisa. He obtained his MSc in Physics in 2007 and his PhD in Applied Physics in 2012. He has been working in the field of Medical Physics since 2008 and his main research fields are medical image analysis and image reconstruction. He is involved in the development of clinical, pre-clinical PET and hadron therapy monitoring scanners. At the time of writing this book he was a lecturer at University of Pisa, teaching courses of life-sciences and medical physics laboratory. He regularly acts as a referee for the following journals: Medical Physics, Physics in Medicine and Biology, Transactions on Medical Imaging, Computers in Biology and Medicine, Physica Medica, EURASIP Journal on Image...

This atlas is a concise but comprehensive guide to the diverse patterns of response to immunotherapy as observed on Positron Emission Tomography/Computed Tomography (PET/CT) and other conventional imaging modalities, including CT and Magnetic Resonance Imaging (MRI). The purpose for this publication is to fill the gap between the growing clinical relevance and utilization of immunotherapy in medical oncology, mainly based on checkpoint inhibitors, and the need for experienced imagers with reliable tools assessing response to treatment. A series of disease-oriented chapters will present the imaging findings during immunotherapy in the major oncological settings, with helpful comparison of functional (PET/CT) and morphological (CT/MRI) patterns of response in individual cases. To complete the atlas, a dedicated chapter will focus on major pitfalls and immune-related adverse events (irAEs) affecting image interpretation during the course of immunotherapy. The concluding chapter will lastly examine the available data and potential developments of immuno-PET, which is considered as the novel frontier of research in this oncological scenario. The atlas will be of high value for radiologists and nuclear medicine specialists at all levels of experience.

Sin dai primi anni di vita, Ettore dimostra di essere un bambino particolare, unico. Il suo spirito estremamente curioso lo spinge a capire a fondo la realtà che lo circonda: vuole sapere tutto e avere sempre la situazione sotto controllo. Vive nel suo magico mondo di numeri, di elettroni e positroni, come pure di formule e teorie della Fisica alla portata solo di rarissime menti, che condivideranno con lui la potenza del Genio. Estremamente precoce, in grado di risolvere complesse operazioni matematiche a soli quattro anni, ma anche eccentrico e con squilibri caratteriali che giocarono un ruolo determinante nella sua vita e nella sua fuga dal mondo, ammesso che di fuga si sia trattato.

This is a practical guide to tomographic image reconstruction with projection data, with strong focus on Computed Tomography (CT) and Positron Emission Tomography (PET). Classic methods such as FBP, ART, SIRT, MLEM and OSEM are presented with modern and compact notation, with the main goal of guiding the reader from the comprehension of the mathematical background through a fast-route to real practice and computer implementation of the algorithms. Accompanied by example data sets, real ready-to-run Python toolsets and scripts and an overview the latest research in the field, this guide will be invaluable for graduate students and early-career researchers and scientists in medical physics and biomedical engineering who are beginners in the field of image reconstruction.\n\n\n\nA top-down guide from theory to practical implementation of PET and CT reconstruction methods, without sacrificing the rigor of mathematical background\nAccompanied by Python source code snippets, suggested exercises, and supplementary ready-to-run examples for readers to download from the CRC Press website\nIdeal for those willing to move their first steps on the real practice of image reconstruction, with modern scientific programming language and toolsets\n\nDaniele Panetta is a researcher at the Institute of Clinical Physiology of the Italian National Research Council (CNR-IFC) in Pisa. He earned his MSc degree in Physics in 2004 and specialisation diploma in Health Physics in 2008, both at the University of Pisa. From 2005 to 2007, he worked at the Department of Physics \"E. Fermi\" of the University of Pisa in the field of tomographic image reconstruction for small animal imaging micro-CT instrumentation. His current research at CNR-IFC has as its goal the identification of novel PET/CT imaging biomarkers for cardiovascular and metabolic diseases. In the field micro-CT imaging, his interests cover applications of three-dimensional morphometry of biosamples and scaffolds for regenerative medicine. He acts as reviewer for scientific journals in the field of Medical Imaging: Physics in Medicine and Biology, Medical Physics, Physica Medica, and others. Since 2012, he is adjunct professor in Medical Physics at the University of Pisa.\n\nNiccolo Camarlinghi is a researcher at the University of Pisa. He obtained his MSc in Physics in 2007 and his PhD in Applied Physics in 2012. He has been working in the field of Medical Physics since 2008 and his main research fields are medical image analysis and image reconstruction. He is involved in the development of clinical, pre-clinical PET and hadron therapy monitoring scanners. At the time of writing this book he was a lecturer at University of Pisa, teaching courses of life-sciences and medical physics laboratory. He regularly acts as a referee for the following journals: Medical Physics, Physics in Medicine and Biology, Transactions on Medical Imaging, Computers in Biology and Medicine, Physica Medica, EURASIP Journal on Image...

Developed specifically for students in the behavioral and brain sciences, this is the only textbook that provides an accessible and practical overview of the range of human neuroimaging techniques. Methods covered include functional and structural magnetic resonance imaging, positron emission tomography, electroencephalography, magnetoencephalography, multimodal imaging, and various brain stimulation methods. Experimental design, image processing, and statistical inference are also addressed, with chapters for both basic and more advanced data analyses. Key concepts are illustrated through research studies on the relationship between brain and behavior, and practice questions are included throughout to test knowledge and aid self-study. Offering just the right amount of detail for understanding how major imaging techniques can be applied to answer neuroscientific questions, and the practical skills needed for future research, this is an essential text for advanced undergraduate and graduate students in psychology, neuroscience, and cognitive science programs taking introductory courses on human neuroimaging.

Sin dai primi anni di vita, Ettore dimostra di essere un bambino particolare, unico. Il suo spirito estremamente curioso lo spinge a capire a fondo la realtà che lo circonda: vuole sapere tutto e avere sempre la situazione sotto controllo. Vive nel suo magico mondo di numeri, di elettroni e positroni, come pure di formule e teorie della Fisica alla portata solo di rarissime menti, che condivideranno con lui la potenza del Genio. Estremamente precoce, in grado di risolvere complesse operazioni matematiche a soli quattro anni, ma anche eccentrico e con squilibri caratteriali che giocarono un ruolo determinante nella sua vita e nella sua fuga dal mondo, ammesso che di fuga si sia trattato.

By the author of The Handmaid's Tale and The Testaments\n\nCharmaine sees an advertisement for a project called Positron that promises you a job, a place to live, a bed to sleep in - imagine how appealing that would be if you were working in a dive bar and living in your car. She and her husband, Stan, apply at once.\n\nThe only catch is that once you're in there, you can't get out.\n\nNo one writes the lust and the loves, the wickedness and the weakness of the human heart like the splendid Margaret Atwood.\n\n'Margaret Atwood [is] a living legend' New York Times Book Review\n\n'Gloriously madcap . . . You only pause in your laughter when you realise that, in its constituent parts, the world she depicts here is all too horribly plausible' Stephanie Merritt, Observer\n\n'Her eye for the most unpredictable caprices of the human heart and her narrative fearlessness have made her one of the world's most celebrated novelists' Naomi Alderman, Guardian\n\n'The bestselling author who shot to fame thirty years ago with The Handmaid's Tale is still at her darkly comic best' Sunday Times

This is a practical guide to tomographic image reconstruction with projection data, with strong focus on Computed Tomography (CT) and Positron Emission Tomography (PET). Classic methods such as FBP, ART, SIRT, MLEM and OSEM are presented with modern and compact notation, with the main goal of guiding the reader from the comprehension of the mathematical background through a fast-route to real practice and computer implementation of the algorithms. Accompanied by example data sets, real ready-to-run Python toolsets and scripts and an overview the latest research in the field, this guide will be invaluable for graduate students and early-career researchers and scientists in medical physics and biomedical engineering who are beginners in the field of image reconstruction.\n\n\n\nA top-down guide from theory to practical implementation of PET and CT reconstruction methods, without sacrificing the rigor of mathematical background\nAccompanied by Python source code snippets, suggested exercises, and supplementary ready-to-run examples for readers to download from the CRC Press website\nIdeal for those willing to move their first steps on the real practice of image reconstruction, with modern scientific programming language and toolsets\n\nDaniele Panetta is a researcher at the Institute of Clinical Physiology of the Italian National Research Council (CNR-IFC) in Pisa. He earned his MSc degree in Physics in 2004 and specialisation diploma in Health Physics in 2008, both at the University of Pisa. From 2005 to 2007, he worked at the Department of Physics \"E. Fermi\" of the University of Pisa in the field of tomographic image reconstruction for small animal imaging micro-CT instrumentation. His current research at CNR-IFC has as its goal the identification of novel PET/CT imaging biomarkers for cardiovascular and metabolic diseases. In the field micro-CT imaging, his interests cover applications of three-dimensional morphometry of biosamples and scaffolds for regenerative medicine. He acts as reviewer for scientific journals in the field of Medical Imaging: Physics in Medicine and Biology, Medical Physics, Physica Medica, and others. Since 2012, he is adjunct professor in Medical Physics at the University of Pisa.\n\nNiccolo Camarlinghi is a researcher at the University of Pisa. He obtained his MSc in Physics in 2007 and his PhD in Applied Physics in 2012. He has been working in the field of Medical Physics since 2008 and his main research fields are medical image analysis and image reconstruction. He is involved in the development of clinical, pre-clinical PET and hadron therapy monitoring scanners. At the time of writing this book he was a lecturer at University of Pisa, teaching courses of life-sciences and medical physics laboratory. He regularly acts as a referee for the following journals: Medical Physics, Physics in Medicine and Biology, Transactions on Medical Imaging, Computers in Biology and Medicine, Physica Medica, EURASIP Journal on Image...