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1. |
Record Nr. |
UNINA9910793354103321 |
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Autore |
Haiken Michele |
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Titolo |
Personalized reading : digital strategies and tools to support all learners / / Michele Haiken with L. Robert Furman |
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Pubbl/distr/stampa |
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Portland, Oregon ; ; Arlington, Virginia : , : International Society for Technology in Education, , [2018] |
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2018 |
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ISBN |
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Descrizione fisica |
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1 online resource (135 pages) |
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Disciplina |
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Soggetti |
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Individualized reading instruction |
Reading - Computer-assisted instruction |
Computers and literacy |
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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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Nota di bibliografia |
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Includes bibliographical references and index. |
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2. |
Record Nr. |
UNINA9910792219103321 |
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Autore |
Anderson E. N (Eugene Newton), , Jr., <1941-> |
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Titolo |
Food and environment in early and medieval China / / E. N. Anderson |
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Pubbl/distr/stampa |
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Philadelphia, Pennsylvania : , : University of Pennsylvania Press, , 2014 |
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©2014 |
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ISBN |
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Edizione |
[1st. ed.] |
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Descrizione fisica |
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1 online resource (352 pages) |
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Collana |
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Disciplina |
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Soggetti |
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Food supply - China - History |
Food supply - Environmental aspects - China - History |
Agricultural systems - China - History |
Agricultural systems - Environmental aspects - China - History |
China History Yuan dynasty, 1260-1368 |
China History Ming dynasty, 1368-1644 |
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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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Bibliographic Level Mode of Issuance: Monograph |
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Nota di bibliografia |
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Includes bibliographical references and index. |
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Nota di contenuto |
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Front matter -- Contents -- Preface -- Usage -- Introduction -- Chapter 1. Prehistoric Origins Across Eurasia -- Chapter 2. China’s Early Agriculture -- Chapter 3. The Origins of Chinese Civilization -- Chapter 4. The Development of China’s Sustainability During Zhou and Han -- Chapter 5. Dynastic Consolidation Under Han -- Chapter 6. Foods from the West: Medieval China -- Chapter 7. The Mongols and the Yuan Dynasty -- Chapter 8. Shifting Grounds in Ming -- Chapter 9. Overview: Imperial China Managing Landscapes -- Appendix I. Conservation Among China’s Neighbors -- Appendix II. An Introduction to Central Asian Food -- Bibliography -- Index |
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Sommario/riassunto |
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Chinese food is one of the most recognizable and widely consumed cuisines in the world. Almost no town on earth is without a Chinese restaurant of some kind, and Chinese canned, frozen, and preserved foods are available in shops from Nairobi to Quito. But the particulars of Chinese cuisine vary widely from place to place as its major ingredients and techniques have been adapted to local agriculture and taste profiles. To trace the roots of Chinese foodways, one must look back to traditional food systems before the early days of globalization. |
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Food and Environment in Early and Medieval China traces the development of the food systems that coincided with China's emergence as an empire. Before extensive trade and cultural exchange with Europe was established, Chinese farmers and agriculturalists developed systems that used resources in sustainable and efficient ways, permitting intensive and productive techniques to survive over millennia. Fields, gardens, semi-wild lands, managed forests, and specialized agricultural landscapes all became part of an integrated network that produced maximum nutrients with minimal input—though not without some environmental cost. E. N. Anderson examines premodern China's vast, active network of trade and contact, such as the routes from Central Asia to Eurasia and the slow introduction of Western foods and medicines under the Mongol Empire. Bringing together a number of new findings from archaeology, history, and field studies of environmental management, Food and Environment in Early and Medieval China provides an updated picture of language relationships, cultural innovations, and intercultural exchanges. |
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3. |
Record Nr. |
UNINA9910784306903321 |
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Autore |
Box-Steffensmeier Janet M. <1965-> |
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Titolo |
Event history modeling : a guide for social scientists / / Janet M. Box-Steffensmeier, Bradford S. Jones [[electronic resource]] |
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Pubbl/distr/stampa |
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Cambridge : , : Cambridge University Press, , 2004 |
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ISBN |
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1-107-15042-6 |
1-280-47751-2 |
0-511-79087-2 |
0-511-19543-5 |
0-511-19609-1 |
0-511-19405-6 |
0-511-31441-8 |
0-511-19479-X |
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Descrizione fisica |
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1 online resource (xiii, 218 pages) : digital, PDF file(s) |
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Collana |
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Analytical methods for social research |
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Disciplina |
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Soggetti |
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Event history analysis - Computer simulation |
Social sciences - Methodology |
History - Methodology |
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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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Title from publisher's bibliographic system (viewed on 05 Oct 2015). |
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Nota di bibliografia |
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Includes bibliographical references (p. 201-211) and index. |
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Nota di contenuto |
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Cover; Half-title; Title; Copyright; Dedication; Contents; Figures; Tables; Preface; CHAPTER 1 Event History and Social Science; CHAPTER 2 The Logic of Event History Analysis; CHAPTER 3 Parametric Models for Single-Spell Duration Data; CHAPTER 4 The Cox Proportional Hazards Model; CHAPTER 5 Models for Discrete Data; CHAPTER 6 Issues in Model Selection; CHAPTER 7 Inclusion of Time-Varying Covariates; CHAPTER 8 Diagnostic Methods for the Event History Model; CHAPTER 9 Some Modeling Strategies for Unobserved Heterogeneity; CHAPTER 10 Models for Multiple Events |
CHAPTER 11 The Social Sciences and Event HistoryAppendix Software for Event History Analysis; References; Index |
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Sommario/riassunto |
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Event History Modeling, first published in 2004, provides an accessible guide to event history analysis for researchers and advanced students in the social sciences. The substantive focus of many social science research problems leads directly to the consideration of duration models, and many problems would be better analyzed by using these longitudinal methods to take into account not only whether the event happened, but when. The foundational principles of event history analysis are discussed and ample examples are estimated and interpreted using standard statistical packages, such as STATA and S-Plus. Critical innovations in diagnostics are discussed, including testing the proportional hazards assumption, identifying outliers, and assessing model fit. The treatment of complicated events includes coverage of unobserved heterogeneity, repeated events, and competing risks models. The authors point out common problems in the analysis of time-to-event data in the social sciences and make recommendations regarding the implementation of duration modeling methods. |
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