Gao uses the case of conference interpreting at the Summer Davos Forum in China to systematically reveal the ways in which ideology and linguistic ‘re-engineering’ can lead to discourse reconstruction. Translation and interpreting can never be wholly neutral practices in ‘multi-voiced’ transnational communication. Gao employs an innovative methodological synthesis to examine in depth a range of elements surrounding interpreters’ ideological positioning. These include analysing the appraisal patterns of the source and target texts, identifying ‘us’-and-‘them’ discourse structures, investigating interpreters’ cognitions, and examining the cross-modal means by which interpreters render paralanguage. Collectively, they bridge the gap between socio-political and ideological concerns on the one hand, and practical questions of discourse reconstruction in cross-language/cultural events on the other, offering a panoramic perspective. An invaluable read for scholars in translation and interpreting studies, particularly those with an interest in political discourse or the International Relations context.

This thesis covers a broad range of interdisciplinary topics concerning electromagnetic-acoustic (EM-Acoustic) sensing and imaging, mainly addressing three aspects: fundamental physics, critical biomedical applications, and sensing/imaging system design. From the fundamental physics perspective, it introduces several highly interesting EM-Acoustic sensing and imaging methods, which can potentially provide higher sensitivity, multi-contrast capability, and better imaging performance with less distortion. From the biomedical applications perspective, the thesis introduces useful techniques specifically designed to address selected challenging biomedical applications, delivering rich contrast, higher sensitivity and finer spatial resolution. Both phantom and ex vivo experiments are presented, and in vivo validations are progressing towards real clinical application scenarios. From the sensing and imaging system design perspective, the book proposes several promising sensing/imaging prototypes. Further, it offers concrete suggestions that could bring these systems closer to becoming "real" products and commercialization, such as replacing costly lasers with portable laser diodes, or integrating transmitting and data recording on a single board.

This thesis covers a broad range of interdisciplinary topics concerning electromagnetic-acoustic (EM-Acoustic) sensing and imaging, mainly addressing three aspects: fundamental physics, critical biomedical applications, and sensing/imaging system design. From the fundamental physics perspective, it introduces several highly interesting EM-Acoustic sensing and imaging methods, which can potentially provide higher sensitivity, multi-contrast capability, and better imaging performance with less distortion. From the biomedical applications perspective, the thesis introduces useful techniques specifically designed to address selected challenging biomedical applications, delivering rich contrast, higher sensitivity and finer spatial resolution. Both phantom and ex vivo experiments are presented, and in vivo validations are progressing towards real clinical application scenarios. From the sensing and imaging system design perspective, the book proposes several promising sensing/imaging prototypes. Further, it offers concrete suggestions that could bring these systems closer to becoming "real" products and commercialization, such as replacing costly lasers with portable laser diodes, or integrating transmitting and data recording on a single board.

This volume contains original submissions on the development and application of molecular imaging computing. The editors invited authors to submit high-quality contributions on a wide range of topics including, but not limited to: • Image Synthesis & Reconstruction of Emission Tomography (PET, SPECT) and other Molecular Imaging Modalities • Molecular Imaging Enhancement • Data Analysis of Clinical & Pre-clinical Molecular Imaging • Multi-Modal Image Processing (PET/CT, PET/MR, SPECT/CT, etc.) • Machine Learning and Data Mining in Molecular Imaging. Molecular imaging is an evolving clinical and research discipline enabling the visualization, characterization and quantification of biological processes taking place at the cellular and subcellular levels within intact living subjects. Computational methods play an important role in the development of molecular imaging, from image synthesis to data analysis and from clinical diagnosis to therapy individualization. This work will bring readers from academia and industry up to date on the most recent developments in this field.

Real-Time Simulation Technology for Modern Power Electronics provides an invaluable foundation and state-of-the-art review on the most advanced implementations of real-time simulation as it appears poised to revolutionize the modeling of power electronics. The book opens with a discussion of power electronics device physic modeling, component modeling, and power converter modeling before addressing numerical methods to solve converter model, emphasizing speed and accuracy. It discusses both CPU-based and FPGA-based real-time implementations and provides an extensive review of current applications, including hardware-in-the-loop and its case studies in the micro-grid and electric vehicle applications. The book closes with a review of the near and long-term outlooks for the evolving technology. Collectively, the work provides a systematic resource for students, researchers, and engineers in the electrical engineering and other closely related fields.

This book constitutes the refereed joint proceedings of the International Workshop on Computational Methods for Molecular Imaging, CMMI 2017, the International Workshop on Reconstruction and Analysis of Moving Body Organs, RAMBO 2017, and the International Stroke Workshop: Imaging and Treatment Challenges, SWITCH 2017, held in conjunction with the 20th International Conference on Medical Imaging and Computer-Assisted Intervention, MICCAI 2017, in Quebec City, QC, Canada, in September 2017. The 5 full papers presented at FIFI 2017, the 9 full papers presented at RAMBO 2017, and the 4 full papers presented at SWITCH 2017 were carefully reviewed and selected. The CMMI papers cover various areas from image synthesis to data analysis and from clinical diagnosis to therapy individualization, using molecular imaging modalities PET, SPECT, PET/CT, SPECT/CT, and PET/MR. The RAMBO papers present research from both academia and industry, They are organized into the categories "registration and tracking" and "image reconstruction and information retrieval" while application areas include cardiac, pulmonal, abdominal, fetal, and renal imaging. The SWITCH papers focus on CT(A)-based quantitative imaging biomarkers for stroke.

This volume contains original submissions on the development and application of molecular imaging computing. The editors invited authors to submit high-quality contributions on a wide range of topics including, but not limited to: * Image Synthesis & Reconstruction of Emission Tomography (PET, SPECT) and other Molecular Imaging Modalities * Molecular Imaging Enhancement * Data Analysis of Clinical & Pre-clinical Molecular Imaging * Multi-Modal Image Processing (PET/CT, PET/MR, SPECT/CT, etc.) * Machine Learning and Data Mining in Molecular Imaging. Molecular imaging is an evolving clinical and research discipline enabling the visualization, characterization and quantification of biological processes taking place at the cellular and subcellular levels within intact living subjects. Computational methods play an important role in the development of molecular imaging, from image synthesis to data analysis and from clinical diagnosis to therapy individualization. This work will bring readers from academia and industry up to date on the most recent developments in this field.