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​This book addresses the subject of emotional speech, especially its encoding and decoding process during interactive communication, based on an improved version of Brunswik’s Lens Model. The process is shown to be influenced by the speaker’s and the listener’s linguistic and cultural backgrounds, as well as by the transmission channels used. Through both psycholinguistic and phonetic analysis of emotional multimodality data for two typologically different languages, i.e., Chinese and Japanese, the book demonstrates and elucidates the mutual and differing decoding and encoding schemes of emotional speech in Chinese and Japanese.
Awaken your self-knowledge through guided rituals and activities, including examining your personal birth chart, to identify your purpose and motivation.
The eight-volume set LNCS 12901, 12902, 12903, 12904, 12905, 12906, 12907, and 12908 constitutes the refereed proceedings of the 24th International Conference on Medical Image Computing and Computer-Assisted Intervention, MICCAI 2021, held in Strasbourg, France, in September/October 2021.* The 531 revised full papers presented were carefully reviewed and selected from 1630 submissions in a double-blind review process. The papers are organized in the following topical sections: Part I: image segmentation Part II: machine learning - self-supervised learning; machine learning - semi-supervised learning; and machine learning - weakly supervised learning Part III: machine learning - advances in machine learning theory; machine learning - attention models; machine learning - domain adaptation; machine learning - federated learning; machine learning - interpretability / explainability; and machine learning - uncertainty Part IV: image registration; image-guided interventions and surgery; surgical data science; surgical planning and simulation; surgical skill and work flow analysis; and surgical visualization and mixed, augmented and virtual reality Part V: computer aided diagnosis; integration of imaging with non-imaging biomarkers; and outcome/disease prediction Part VI: image reconstruction; clinical applications - cardiac; and clinical applications - vascular Part VII: clinical applications - abdomen; clinical applications - breast; clinical applications - dermatology; clinical applications - fetal imaging; clinical applications - lung; clinical applications - neuroimaging - brain development; clinical applications - neuroimaging - DWI and tractography; clinical applications - neuroimaging - functional brain networks; clinical applications - neuroimaging – others; and clinical applications - oncology Part VIII: clinical applications - ophthalmology; computational (integrative) pathology; modalities - microscopy; modalities - histopathology; and modalities - ultrasound *The conference was held virtually.
The ten-volume set LNCS 14220, 14221, 14222, 14223, 14224, 14225, 14226, 14227, 14228, and 14229 constitutes the refereed proceedings of the 26th International Conference on Medical Image Computing and Computer-Assisted Intervention, MICCAI 2023, which was held in Vancouver, Canada, in October 2023. The 730 revised full papers presented were carefully reviewed and selected from a total of 2250 submissions. The papers are organized in the following topical sections: Part I: Machine learning with limited supervision and machine learning – transfer learning; Part II: Machine learning – learning strategies; machine learning – explainability, bias, and uncertainty; Part III: Machine learning – explainability, bias and uncertainty; image segmentation; Part IV: Image segmentation; Part V: Computer-aided diagnosis; Part VI: Computer-aided diagnosis; computational pathology; Part VII: Clinical applications – abdomen; clinical applications – breast; clinical applications – cardiac; clinical applications – dermatology; clinical applications – fetal imaging; clinical applications – lung; clinical applications – musculoskeletal; clinical applications – oncology; clinical applications – ophthalmology; clinical applications – vascular; Part VIII: Clinical applications – neuroimaging; microscopy; Part IX: Image-guided intervention, surgical planning, and data science; Part X: Image reconstruction and image registration.
This book offers representative examples from fly and mouse models to illustrate the ongoing success of the synergistic, state-of-the-art strategy, focusing on the ways it enhances our understanding of sensory processing. The authors focus on sensory systems (vision, olfaction), which are particularly powerful models for probing the development, connectivity, and function of neural circuits, to answer this question: How do individual nerve cells functionally cooperate to guide behavioral responses? Two genetically tractable species, mice and flies, together significantly further our understanding of these processes. Current efforts focus on integrating knowledge gained from three interrelated fields of research: (1) understanding how the fates of different cell types are specified during development, (2) revealing the synaptic connections between identified cell types (“connectomics”) using high-resolution three-dimensional circuit anatomy, and (3) causal testing of how iden tified circuit elements contribute to visual perception and behavior.
This book provides a review of the effectiveness of Opportunity to Learn (OTL) operationalized as the association between OTL and student achievement. In addition, it presents an elaborate conceptual map in which OTL is regarded as part of a larger concept of curriculum alignment. Major components of this framework are national goals and standards, school curricula, formative tests, textbooks, actual delivery of content as part of teaching, and summative tests and examinations.Alignment between educational goals, intended and implemented curricula, and educational outcomes is considered an important prerequisite for effective education. The expectation is that better alignment leads to better student performance. The concept of OTL is commonly used to compare content covered, as part of the implemented curriculum, with student achievement. As such it is to be seen as a facet of the broader concept of “alignment”. As it comes to enhancing OTL in educational policy and practice, proactive curriculum development is compared to a more retroactive orientation. Legitimate forms of test and examination preparation belong to this retroactive orientation, and are seen as favorable conditions for optimizing OTL. This book reviews the research evidence on the effects of OTL on student achievement by means of detailed descriptions of key-empirical studies, a review of meta-analyses, a “vote count” syntheses of 51 empirical studies, conducted between 1995 and 2015, and a secondary analysis based on TIMSS 2011, and PISA 2012 data. It concludes that the effect size of OTL, at about .30, is modest, but comparable in size to other effectiveness-enhancing conditions in schooling. The final chapter of the book provides suggestions for educational policy and practice to further optimize OTL. /div
Neurolinguistics is a young and highly interdisciplinary field, with influences from psycholinguistics, psychology, aphasiology, and (cognitive) neuroscience, as well as other fields. Neurolinguistics, like psycholinguistics, covers aspects of language processing; but unlike psycholinguistics, it draws on data from patients with damage to language processing capacities, or the use of modern neuroimaging technologies such as fMRI, TMS, or both. The burgeoning interest in neurolinguistics reflects that an understanding of the neural bases of this data can inform more biologically plausible models of the human capacity for language. The Oxford Handbook of Neurolinguistics provides concise overviews of this rapidly-growing field, and engages a broad audience with an interest in the neurobiology of language. The chapters do not attempt to provide exhaustive coverage, but rather present discussions of prominent questions posed by given topics. The volume opens with essential methodological chapters: Section I, Methods, covers the key techniques and technologies used to study the neurobiology of language today, with chapters structured along the basic divisions of the field. Section II addresses the neurobiology of language acquisition during healthy development and in response to challenges presented by congenital and acquired conditions. Section III covers the many facets of our articulate brain, or speech-language pathology, and the capacity for language production-written, spoken, and signed. Questions regarding how the brain comprehends meaning, including emotions at word and discourse levels, are addressed in Section IV. Finally, Section V reaches into broader territory, characterizing and contextualizing the neurobiology of language with respect to more fundamental neuroanatomical mechanisms and general cognitive domains.
This is the first book to examine in-depth the crucial role of the speed of information processing in the brain in determining reading fluency in both normal and dyslexic readers. Part I explains fluency in reading from both traditional and modern perspectives. Fluency has historically been viewed as the outcome of other reading-related factors and has often been seen as a convenient measure of reading skills. This book, however, argues that fluency has a strong impact on other aspects of reading and plays a central role in the entire reading process. Part II deals with the determinants of reading fluency. Chief among these is the speed of information processing in the brain. Using both behavioral and electrophysiological evidence, the book systematically examines the features of processing speed in the various brain systems involved in reading: visual-orthographic, auditory-phonological, and semantic and shows how speed of processing affects fluency in reading. Part III deals with the complex issues of cross-modal integration and specifically with the need for effective synchronization of the brain processes involved in reading. It puts forward the Synchronization Hypothesis and discusses the role of the Asynchrony Phenomenon as a major factor in dyslexia. Finally, it summarizes research on manipulating reading rate by means of the Acceleration method, providing evidence for a possible intervention aimed at reducing Asynchrony. Key features of this outstanding new book include: *Expanded View of Fluency. Reading fluency is seen as both a dependent and an independent Variable. Currently available books focus on reading rate solely as the outcome of other factors whereas this volume stresses that it is both an outcome and a cause. *Information Processing Focus. Fluency itself is determined to a large extent by a more general factor, namely, speed of processing in the brain. The book presents wide-ranging evidence for individual differences in speed of processing across many subpopulations. *Brain Synchronization Focus. The book posits a new theory arguing that effective reading requires synchronization of the different brain systems: visual orthographic, auditory-phonological, and semantic. *Research-Based Interventions. Interventions to enhance fluency and, thereby, reading skills in general are presented in detail. *Author Expertise. Zvia Breznitz is Head of the Department of Learning Disabilities and Director of the Laboratory for Neurocognitive Research at Haifa University in Israel, where she has been researching this topic for over a decade. This book is appropriate for researchers and advanced students in reading, dyslexia, learning disabilities, cognitive psychology, and neuropsychology.