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1. |
Record Nr. |
UNINA9910782528803321 |
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Titolo |
Style shifting in Japanese [[electronic resource] /] / edited by Kimberly Jones, Tsuyoshi Ono |
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Pubbl/distr/stampa |
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Amsterdam ; ; Philadelphia, : John Benjamins Pub., c2008 |
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ISBN |
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1-282-10486-1 |
9786612104862 |
90-272-8966-2 |
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Descrizione fisica |
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Collana |
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Pragmatics & beyond, , 0922-842X ; ; new ser., v. 180 |
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Altri autori (Persone) |
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JonesKimberly <1959-> |
OnoTsuyoshi |
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Disciplina |
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Soggetti |
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Japanese language - Style |
Speech |
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Lingua di pubblicazione |
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Formato |
Materiale a stampa |
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Livello bibliografico |
Monografia |
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Note generali |
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Includes bibliographical references and index. |
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Nota di contenuto |
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The messy reality of style shifting / Kimberly Jones and Tsuyoshi Ono -- Style shifts in Japanese academic consultations / Haruko Minegishi Cook -- Interpersonal functions of style shift: the use of plain and masu forms in faculty meetings / Naomi Geyer -- Speech style shift as an interactional discourse strategy: the use and non-use of desu/-masu in Japanese conversational interviews / Shoko Ikuta -- Playing with multiple voices: emotivity and creativity in Japanese style mixture / Senko K. Maynard -- Riyuu 'reason for nai desu and other semi-polite forms / Mutsuko Endo Hudson -- Masen or nai desu, that is the question: a case study into Japanese conversational discourse / Satoshi Uehara and Etsuko Fukushima -- The power of femininity: can Japanese gender variation signify contradictory social meanings? / Yuka Matsugu -- Tuning speech style and persona / Yoshiko Matsumoto -- Speech style and the use of regional (Yamaguchi) and standard Japanese in conversations / Shigeko Okamoto -- "Involved" speech style and deictic management of spatio-temporal and textual reference: a case of ko/so-deictics in Japanese / Kuniyoshi Kataoka -- Variation in prosodic focus of the Japanese negative nai: issues of language specificity, interactive style, and social situations / Shoji Takano. |
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2. |
Record Nr. |
UNINA9910144020803321 |
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Titolo |
Artificial Intelligence in Medicine : 9th Conference on Artificial Intelligence in Medicine in Europe, AIME 2003, Protaras, Cyprus, October 18-22, 2003, Proceedings / / Michel Dojat, Elpida Keravnou, Pedro Barahona (eds.) |
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Pubbl/distr/stampa |
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Berlin, Heidelberg : , : Springer Berlin Heidelberg : , : Imprint : Springer, , 2003 |
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ISBN |
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Edizione |
[1st ed. 2003.] |
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Descrizione fisica |
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1 online resource (XIV, 394 p.) |
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Collana |
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Lecture Notes in Artificial Intelligence ; ; 2780 |
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Disciplina |
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Soggetti |
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Artificial intelligence - Medical applications |
Artificial intelligence |
General Practice / Family Medicine |
Biomedicine, general |
Artificial Intelligence |
Health Informatics |
Database Management |
Information Storage and Retrieval |
Conference papers and proceedings. |
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Lingua di pubblicazione |
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Formato |
Materiale a stampa |
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Livello bibliografico |
Monografia |
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Note generali |
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Nota di contenuto |
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Temporal Reasoning -- On-Line Extraction of Successive Temporal Sequences from ICU High-Frequency Data for Decision Support Information -- Quality Assessment of Hemodialysis Services through Temporal Data Mining -- Idan: A Distributed Temporal-Abstraction Mediator for Medical Databases -- Prognosis of Approaching Infectious Diseases -- Modeling Multimedia and Temporal Aspects of Semistructured Clinical Data -- NEONATE: Decision Support in the Neonatal Intensive Care Unit – A Preliminary Report -- Abstracting the Patient Therapeutic History through a Heuristic-Based Qualitative Handling of Temporal Indeterminacy -- Ontology, Terminology -- How to Represent Medical Ontologies in View of a Semantic Web? -- Using Description Logics for Managing Medical Terminologies -- Ontology for |
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Task-Based Clinical Guidelines and the Theory of Granular Partitions -- Speech Interfaces for Point-of-Care Guideline Systems -- Text Categorization prior to Indexing for the CISMEF Health Catalogue -- Bodily Systems and the Modular Structure of the Human Body -- Image Processing, Simulation -- Multi-agent Approach for Image Processing: A Case Study for MRI Human Brain Scans Interpretation -- Qualitative Simulation of Shock States in a Virtual Patient -- 3D Segmentation of MR Brain Images into White Matter, Gray Matter and Cerebro-Spinal Fluid by Means of Evidence Theory -- A Knowledge-Based System for the Diagnosis of Alzheimer’s Disease -- Guidelines, Clinical Protocols -- DEGEL: A Hybrid, Multiple-Ontology Framework for Specification and Retrieval of Clinical Guidelines -- Experiences in the Formalisation and Verification of Medical Protocols -- Enhancing Conventional Web Content with Intelligent Knowledge Processing -- Linking Clinical Guidelines with Formal Representations -- Computerised Advice on Drug Dosage Decisions in Childhood Leukaemia: A Method and a Safety Strategy -- The NewGuide Project: Guidelines, Information Sharing and Learning from Exceptions -- Managing Theoretical Single-Disease Guideline Recommendations for Actual Multiple-Disease Patients -- Informal and Formal Medical Guidelines: Bridging the Gap -- Terminology, Natural Language -- Rhetorical Coding of Health Promotion Dialogues -- Learning Derived Words from Medical Corpora -- Learning-Free Text Categorization -- Knowledge-Based Query Expansion over a Medical Terminology Oriented Ontology on the Web -- Linking Rules to Terminologies and Applications in Medical Planning -- Machine Learning -- Classification of Ovarian Tumors Using Bayesian Least Squares Support Vector Machines -- Attribute Interactions in Medical Data Analysis -- Combining Supervised and Unsupervised Methods to Support Early Diagnosis of Hepatocellular Carcinoma -- Analysis of Gene Expression Data by the Logic Minimization Approach -- A Journey trough Clinical Applications of Multimethod Decision Trees -- Probabilistic Networks, Bayesian Models -- Detailing Test Characteristics for Probabilistic Networks -- Bayesian Learning of the Gas Exchange Properties of the Lung for Prediction of Arterial Oxygen Saturation -- Hierarchical Dirichlét Learning – Filling in the Thin Spots in a Database -- A Bayesian Neural Network Approach for Sleep Apnea Classification -- Probabilistic Networks as Probabilistic Forecasters -- Finding and Explaining Optimal Treatments -- Case Based Reasoning, Decision Support -- Acquisition of Adaptation Knowledge for Breast Cancer Treatment Decision Support -- Case Based Reasoning for Medical Decision-Support in a Safety Critical Environment -- Constraint Reasoning in Deep Biomedical Models -- Interactive Decision Support for Medical Planning -- Compliance with the Hyperlipidaemia Consensus: Clinicians versus the Computer -- WoundCare: A Palm Pilot-Based Expert System for the Treatment of Pressure Ulcers -- VIE-DIAB: A Support Program for Telemedical Glycaemic Control -- Data Mining, Knowledge Discovery -- Drifting Concepts as Hidden Factors in Clinical Studies -- Multi-relational Data Mining in Medical Databases -- Invited Talks -- Is It Time to Trade “Wet-Work” for Network? -- Robots as Models of the Brain: What Can We Learn from Modelling Rat Navigation and Infant Imitation Games?. |
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Sommario/riassunto |
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The European Society for Arti'cial Intelligence in Medicine (AIME) was - tablished in 1986 with two main goals: 1) to foster fundamental and applied research in the application of Arti'cial Intelligence (AI) techniques to medical care and medical research, and 2) to provide a forum for reporting signi'cant results achieved at biennial conferences. Additionally, AIME assists medical - dustrials to identify new AI techniques with high potential for integration into new products. A |
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major activity of this society has been a series of international conferences,fromMarseille(FR)in1987toCascais(PT)in2001,heldbiennially over the last 16 years. The AIME conference provides a unique opportunity to present and improve the international state of the art of AI in medicine from both a research and an applicationsperspective.Forthispurpose,theAIMEconferenceincludesinvited lectures, contributed papers, system demonstrations, tutorials and workshops. The present volume contains the proceedings of the AIME 2003 conference, the ninthconferenceonArti'cialIntelligenceinMedicineinEurope,heldinCyprus, October 18-22, 2003. In the AIME 2003 conference announcement, we encouraged authors to s- mit original contributions to the development of theory, techniques, and - plications of AI in medicine, including the evaluation of health care programs. Theoretical papers should include a prospective part about possible applications to medical problems solving. Technical papers should describe the novelty of the proposed approach, its assumptions and pros and cons compared to other alt- native techniques. Application papers should present su'cient information to allow the evaluation of the practical bene'ts of the proposed system or meth- ology. |
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