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Institution

Deakin University

EducationBurwood, Victoria, Australia
About: Deakin University is a education organization based out in Burwood, Victoria, Australia. It is known for research contribution in the topics: Population & Context (language use). The organization has 12118 authors who have published 46470 publications receiving 1188841 citations. The organization is also known as: Deakin.


Papers
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Journal ArticleDOI
TL;DR: Results highlight the need to assess all forms of malt treatment when looking at relationships of maltreatment to adjustment and the importance of childhood familial environment for the long-term adjustment of adults.
Abstract: There are very few research studies that have evaluated the relationships between multiple forms of childhood maltreatment and psychological adjustment in adulthood. This study evaluates the interrelationships between five different types of child maltreatment (sexual abuse, physical abuse, psychological maltreatment, neglect, witnessing family violence) in a community sample of women and men (N = 175). The relationships between the reported experience of these forms of maltreatment in childhood, family characteristics during childhood, and current psychological adjustment (trauma symptomatology and self-depreciation) were assessed. As hypothesized, family characteristics predicted maltreatment scores and adjustment, and maltreatment scores predicted adjustment after controlling for family environment. There were high correlations between scores on the five maltreatment scales. Results highlight the need to assess all forms of maltreatment when looking at relationships of maltreatment to adjustment and the importance of childhood familial environment for the long-term adjustment of adults.

198 citations

Journal ArticleDOI
TL;DR: In this article, the chitosan-starch (high amylose) blend film (1;1) was prepared by casting with different glycerol concentration (0, 2.5, 5, and 10%).

198 citations

Journal ArticleDOI
TL;DR: Exaggerated and blunted SAM system and HPA axis stress reactivity predicted distinct physical and mental health and disease outcomes over time and consistently indicate stress reactsivity as a predictor for future health and diseases outcomes.

198 citations

Posted Content
TL;DR: The use of admissible search is of potential value to the machine learning community as it means that the exact learning biases to be employed for complex learning tasks can be precisely specified and manipulated.
Abstract: OPUS is a branch and bound search algorithm that enables efficient admissible search through spaces for which the order of search operator application is not significant. The algorithm's search efficiency is demonstrated with respect to very large machine learning search spaces. The use of admissible search is of potential value to the machine learning community as it means that the exact learning biases to be employed for complex learning tasks can be precisely specified and manipulated. OPUS also has potential for application in other areas of artificial intelligence, notably, truth maintenance.

198 citations

Journal ArticleDOI
David Turnbull1
01 Aug 1997-Futures
TL;DR: In this paper, it is argued that all knowledge traditions are spatial in that they link people, sites and skills, and that in order to ensure the continued existence of the diversity of knowledge traditions rather than have them absorbed into the great imperialist archive, we need to enable disparate knowledge traditions to work together through the creation of a third space in which the social organization of trust can be negotiated.

197 citations


Authors

Showing all 12448 results

NameH-indexPapersCitations
Patrick D. McGorry137109772092
Mary Story13552264623
Dacheng Tao133136268263
Paul Harrison133140080539
Paul Zimmet128740140376
Neville Owen12770074166
Louisa Degenhardt126798139683
David Scott124156182554
Anthony F. Jorm12479867120
Tao Zhang123277283866
John C. Wingfield12250952291
John J. McGrath120791124804
Eduard Vieta119124857755
Michael Berk116128457743
Ashley I. Bush11656057009
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Performance
Metrics
No. of papers from the Institution in previous years
YearPapers
2023162
2022677
20215,124
20204,513
20193,981
20183,543