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1. |
Record Nr. |
UNINA9910466516903321 |
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Titolo |
Dealing with debt and financial stress / / edited by Justin Healey |
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Pubbl/distr/stampa |
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Thirroul, New South Wales : , : The Spinney Press, , 2018 |
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©2018 |
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ISBN |
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Descrizione fisica |
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1 online resource (60 pages) : colour illustrations |
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Collana |
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Issues in Society ; ; Volume 430 |
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Disciplina |
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Soggetti |
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Debt |
Finance, Personal |
Electronic books. |
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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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Nota di contenuto |
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Chapter 1. Financial stress and debt in Australia -- Chapter 2. Dealing with debt -- Chapter 3. Managing your money. |
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Sommario/riassunto |
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Many Australians are struggling to meet their payments for mortgages, investments, personal debt, student debt, and credit card debt. This is a helpful guide for young people to understand and avoid financial stress, with advice on how to deal with debt, manage money through budgeting and savings, and develop your financial literacy. Make the most of your money and manage debt. |
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2. |
Record Nr. |
UNINA9910466082903321 |
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Titolo |
Aktuelle Pflegethemen lehren : Wissenschaftliche Praxis in der Pflegeausbildung / / herausgegeben von Elisabeth Linseisen und Charlotte Uzarewicz ; mit Beiträgenvon Michael Bossle [and seven others] |
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Pubbl/distr/stampa |
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Stuttgart, [Germany] : , : Lucius & Lucius, , 2013 |
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©2013 |
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ISBN |
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Descrizione fisica |
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1 online resource (164 pages) |
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Collana |
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Dimensionen Sozialer Arbeit und der Pflege ; ; Band 14 |
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Disciplina |
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Soggetti |
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Nursing - Study and teaching |
Electronic books. |
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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. |
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Nota di contenuto |
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Frontmatter -- Inhalt -- Vorwort / Luger, Anna Maria / Huber, Elisabeth -- Einleitung / Linseisen, Elisabeth / Uzarewicz, Charlotte -- Der Umgang mit Wissen-schaffen - was kann das in der Pflege(ausbildung) bedeuten? / Linseisen, Elisabeth -- Pflegewissenschaftliche Fundierung der Pflegelehre - Herausforderungen an eine fachfundierte Pflegelehre / Eisbernd, Astrid -- Handlungsorientierung: Dreh- und Angelpunkt für die Weiterentwicklung von Unterricht und Schule / Bossle, Michael -- Wissen - Können - Sollen: Ethik in der Pflegebildung als Ethik eines Careberufes. Vorüberlegungen zur Förderung (pflege)ethischer Kompetenz / Giese, Constanze -- Wie kommt das Gefühl in den Kopf? Geschichte(n) zum Thema Verantwortung für die Ethiklehre in der Pflege / Kohlen, Helen -- Phänomenologisches Lehren und Lernen in der Pflege / Uzarewicz, Charlotte -- Auf dem Weg zum Gesund-Sein. Gesundheitsförderung lernen und gesundheitsfördernd lehren / Fröschl, Monika -- Beratung lehren. Grundsätze, Didaktik und Praxis / Hammerschmid, Peter -- Räume zum Lernen - Räume zum Lehren? Über atmosphärische Einflüsse und Gestaltungsmöglichkeiten / Uzarewicz, Charlotte -- Über die Autoren/innen -- Backmatter |
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3. |
Record Nr. |
UNINA9910299058403321 |
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Titolo |
Human-Centered Social Media Analytics / / edited by Yun Fu |
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Pubbl/distr/stampa |
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Cham : , : Springer International Publishing : , : Imprint : Springer, , 2014 |
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ISBN |
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Edizione |
[1st ed. 2014.] |
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Descrizione fisica |
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1 online resource (210 p.) |
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Disciplina |
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004 |
005.437 |
006.3 |
006.312 |
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Soggetti |
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Biometry |
Data mining |
User interfaces (Computer systems) |
Artificial intelligence |
Optical data processing |
Biometrics |
Data Mining and Knowledge Discovery |
User Interfaces and Human Computer Interaction |
Artificial Intelligence |
Image Processing and Computer Vision |
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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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Description based upon print version of record. |
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Nota di bibliografia |
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Includes bibliographical references at the end of each chapters and index. |
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Nota di contenuto |
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Part I: Social Relationships in Human-Centered Media -- Bridging Human-Centered Social Media Content across Web Domains -- Learning Social Relations from Videos -- Community Understanding in Location-Based Social Networks -- Social Role Recognition for Human Event Understanding -- Integrating Randomization and Discrimination for Classifying Human-Object Interaction Activities -- Part II: Human Attributes in Social Media Analytics -- Recognizing People in Social Context -- Female Facial Beauty Attribute Recognition and Editing -- Facial Age Estimation -- Identity and Kinship Relations in Group |
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Pictures -- Recognizing Occupations through Probabilistic Models. |
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Sommario/riassunto |
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Utilizing the ubiquity of social media in modern society, the emerging interdisciplinary field of social computing offers the promise of important human-centered applications. Human-Centered Social Media Analytics provides a timely and unique survey of next-generation social computational methodologies. The text explains the fundamentals of this field, and describes state-of-the-art methods for inferring social status, relationships, preferences, intentions, personalities, needs, and lifestyles from human information in unconstrained visual data. The collected chapters present a range of different viewpoints examining the various possibilities and challenges to machine understanding of humans in a social context. Topics and features: Includes perspectives from an international and interdisciplinary selection of pre-eminent authorities Presents balanced coverage of both detailed theoretical analysis and real-world applications Examines social relationships in human-centered media for the development of socially-aware video, location-based, and multimedia applications Reviews techniques for recognizing the social roles played by people in an event, and for classifying human-object interaction activities Discusses the prediction and recognition of human attributes via social media analytics, including social relationships, facial age and beauty, and occupation Requires no prior background knowledge of the area This authoritative text/reference will be a valuable resource for researchers and graduate students interested in social media and networking, computer vision and biometrics, big data, and HCI. Practitioners in these fields, as well as in image processing and computer graphics, will also find the book of great interest. Dr. Yun Fu is an assistant professor in the Department of Electrical and Computer Engineering at Northeastern University, Boston, MA, USA, where he is the founder of the Synergetic Media Learning (SMILE) Lab. |
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