John H. Zhang

Yan Qu

Weijian Jiang

Wengui Yu

Zhongsong Shi

Benyan Luo

This volume is focused on subjects related to cerebral ischemia and reperfusion injuries after acute stroke. All chapters are selected from the Sixth Elite Stroke meeting named Pangu Stroke Conference and written by members of world leading laboratories of stroke studies. The contents cover both clinical and bench studies, from basic components of cerebral arterial system to clinical reperfusion injury cases, from reperfusion caused programmed cell death and astrocyte activation to oxidative stress and nitric oxide after reperfusion, from extracellular matrix and inflammation to a role of diabetes after reperfusion, from small artery disorders to collateral circulation and blood pressure control after reperfusion. Wei-Jian Jiang, Chairman of New Era Stroke Care and Research Institute of PLA Rocket Force General Hospital, Beijing, China. Wengui Yu, Professor and Director of Comprehensive Stroke & Cerebrovascular Center, University of California, Irvine Yan Qu, Professor and Director of Neurosurgery at the Second Affiliated Hospital of Air Force Medical University, Xi’an, China. Zhongsong Shi, Professor of Neurosurgery at Sun Yat-sen Memorial Hospital, Sun Yat-sen University, Guangzhou, China. Ben-yan Luo, Professor and Chair of Neurology at the First Affiliated Hospital of Zhejiang University. John H. Zhang, Professor of Anesthesiology and Physiology at Loma Linda University School of Medicine, Loma Linda, CA, USA.

Bench Research and Clinical Implications

Cerebral Ischemic Reperfusion Injuries (CIRI)

James G. Shanahan

Janyce Wiebe

Human Language Technology (HLT) and Natural Language Processing (NLP) systems have typically focused on the “factual” aspect of content analysis. Other aspects, including pragmatics, opinion, and style, have received much less attention. However, to achieve an adequate understanding of a text, these aspects cannot be ignored. The chapters in this book address the aspect of subjective opinion, which includes identifying different points of view, identifying different emotive dimensions, and classifying text by opinion. Various conceptual models and computational methods are presented. The models explored in this book include the following: distinguishing attitudes from simple factual assertions; distinguishing between the author’s reports from reports of other people’s opinions; and distinguishing between explicitly and implicitly stated attitudes. In addition, many applications are described that promise to benefit from the ability to understand attitudes and affect, including indexing and retrieval of documents by opinion; automatic question answering about opinions; analysis of sentiment in the media and in discussion groups about consumer products, political issues, etc. ; brand and reputation management; discovering and predicting consumer and voting trends; analyzing client discourse in therapy and counseling; determining relations between scientific texts by finding reasons for citations; generating more appropriate texts and making agents more believable; and creating writers’ aids. The studies reported here are carried out on different languages such as English, French, Japanese, and Portuguese. Difficult challenges remain, however. It can be argued that analyzing attitude and affect in text is an “NLP”-complete problem.

Computing Attitude and Affect in Text: Theory and Applications

Yan Qu

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