The first comprehensive interpretation of the work of a major figure in Chicano literature, Klaus Zilles's study of the fourteen novels in Rolando Hinojosa's Klail City Death Trip series will appeal equally to the specialist, to the student, and to the interested reader of Hinojosa's intriguing and innovative "Tejano" novels. The series is dedicated to revealing the suppressed oral history of Mexican Texas and to making the reader a companion on a quest for this elusive history. Published between 1973 and 1998, the Klail City series ranges in historical time from the mid-1700s to the end of the twentieth century, attesting to 250 years of Spanish-Mexican presence in the Lower Río Grande Valley of Texas. The main body of Hinojosa's series, however, is set in fictitious Belken County, located on the U.S./Mexico border, and charts the lives of Hinojosa's two protagonists, Rafe Buenrostro and his cousin, Jehú Malacara, two men raised in the rigidly segregated world of a South Texas farming community. The Klail City series constitutes a truly "novel" approach to the novel: each installment in the cycle differs from the one before it in genre (the adult Buenrostro becomes a police detective and appears in several mystery novels), in narrative style (one novel is written entirely in verse, while another takes epistolary form), or in language (Hinojosa writes in Spanish, in English, in Chicano idiom, and in mixtures of all three). Zilles accomplishment is to provide a critical guide to the complicated fictional world that Hinojosa creates. By showing the profusion of forms and styles Hinojosa deploys, Zilles reveals the true dimensions of Hinojosa's design. "What makes Zilles so refreshing is his style. . . . He writes in a language accessible to the average reader. His work is solid, informative, thoughtful, and useful. I recommend it highly."--Juan Bruce-Novoa, Harvard University
The first comprehensive interpretation of the work of a major figure in Chicano literature, Klaus Zilles's study of the fourteen novels in Rolando Hinojosa's Klail City Death Trip series will appeal equally to the specialist, to the student, and to the interested reader of Hinojosa's intriguing and innovative "Tejano" novels. The series is dedicated to revealing the suppressed oral history of Mexican Texas and to making the reader a companion on a quest for this elusive history. Published between 1973 and 1998, the Klail City series ranges in historical time from the mid-1700s to the end of the twentieth century, attesting to 250 years of Spanish-Mexican presence in the Lower Río Grande Valley of Texas. The main body of Hinojosa's series, however, is set in fictitious Belken County, located on the U.S./Mexico border, and charts the lives of Hinojosa's two protagonists, Rafe Buenrostro and his cousin, Jehú Malacara, two men raised in the rigidly segregated world of a South Texas farming community. The Klail City series constitutes a truly "novel" approach to the novel: each installment in the cycle differs from the one before it in genre (the adult Buenrostro becomes a police detective and appears in several mystery novels), in narrative style (one novel is written entirely in verse, while another takes epistolary form), or in language (Hinojosa writes in Spanish, in English, in Chicano idiom, and in mixtures of all three). Zilles accomplishment is to provide a critical guide to the complicated fictional world that Hinojosa creates. By showing the profusion of forms and styles Hinojosa deploys, Zilles reveals the true dimensions of Hinojosa's design. "What makes Zilles so refreshing is his style. . . . He writes in a language accessible to the average reader. His work is solid, informative, thoughtful, and useful. I recommend it highly."--Juan Bruce-Novoa, Harvard University
This comprehensive guide provides a uniquely practical, application-focused introduction to medical image analysis. This fully updated new edition has been enhanced with material on the latest developments in the field, whilst retaining the original focus on segmentation, classification and registration. Topics and features: presents learning objectives, exercises and concluding remarks in each chapter; describes a range of common imaging techniques, reconstruction techniques and image artifacts, and discusses the archival and transfer of images; reviews an expanded selection of techniques for image enhancement, feature detection, feature generation, segmentation, registration, and validation; examines analysis methods in view of image-based guidance in the operating room (NEW); discusses the use of deep convolutional networks for segmentation and labeling tasks (NEW); includes appendices on Markov random field optimization, variational calculus and principal component analysis.
Unwanted childlessness affects approximately one in six couples worldwide. - though the exact proportion of the predominant cause of the problem remains controversial, according to the World Health Organization (WHO), in nearly 40% of cases the cause can be attributed to the female, in 20% to the male, in 25% to both, and in 15% the cause remains unknown. Based on these ?gures, the - cidence of male factor infertility in the general population is approximately 7%. The majority of these men, approximately 30%, experience irreversible idiopathic infertility and cannot father children without some form of medical intervention. Male factor infertility, in addition, may be caused by testicular germ cell cancer, which is known to represent the most common cancer among young men, aged 15 to 35 years, in Western industrialized countries. The number of affected men has increased dramatically over the past 50 years. There is now growing evidence that human testicular germ cell cancer originates from fetal germ cells exhibiting an aberrant programme of gene expression, and tumour progression may be favoured by an aberrant Sertoli cell-germ cell communication.
Decades of brain imaging experiments have revealed important insights into the architecture of the human brain and the detailed anatomic basis for the neural dynamics supporting human cognition. However, technical restrictions of traditional brain imaging approaches including functional magnetic resonance tomography (fMRI), positron emission tomography (PET), and magnetoencephalography (MEG) severely limit participants’ movements during experiments. As a consequence, our knowledge of the neural basis of human cognition is rooted in a dissociation of human cognition from what is arguably its foremost, and certainly its evolutionarily most determinant function, organizing our behavior so as to optimize its consequences in our complex, multi-scale, and ever-changing environment. The concept of natural cognition, therefore, should not be separated from our fundamental experience and role as embodied agents acting in a complex, partly unpredictable world. To gain new insights into the brain dynamics supporting natural cognition, we must overcome restrictions of traditional brain imaging technology. First, the sensors used must be lightweight and mobile to allow monitoring of brain activity during free participant movements. New hardware technology for electroencephalography (EEG) and near infrared spectroscopy (NIRS) allows recording electrical and hemodynamic brain activity while participants are freely moving. New data-driven analysis approaches must allow separation of signals arriving at the sensors from the brain and from non-brain sources (neck muscles, eyes, heart, the electrical environment, etc.). Independent component analysis (ICA) and related blind source separation methods allow separation of brain activity from non-brain activity from data recorded during experimental paradigms that stimulate natural cognition. Imaging the precisely timed, distributed brain dynamics that support all forms of our motivated actions and interactions in both laboratory and real-world settings requires new modes of data capture and of data processing. Synchronously recording participants’ motor behavior, brain activity, and other physiology, as well as their physical environment and external events may be termed mobile brain/body imaging ('MoBI'). Joint multi-stream analysis of recorded MoBI data is a major conceptual, mathematical, and data processing challenge. This Research Topic is one result of the first international MoBI meeting in Delmenhorst Germany in September 2013. During an intense workshop researchers from all over the world presented their projects and discussed new technological developments and challenges of this new imaging approach. Several of the presentations are compiled in this Research Topic that we hope may inspire new research using the MoBI paradigm to investigate natural cognition by recording and analyzing the brain dynamics and behavior of participants performing a wide range of naturally motivated actions and interactions.
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