258 research outputs found
Evaluation of Home Detention in South Australia: Final Report
No full textIn May 2020, the South Australian Department for Correctional Services (DCS) commissioned a team of researchers from the Social Policy Research Centre, UNSW Sydney (University of New South Wales); Griffith Criminology Institute, Griffith University; and Époque Consulting to conduct an independent evaluation of Home Detention (HD) in South Australia (SA). This follows on from an initial evaluation (2016-2018) and provides a longitudinal assessment of the impact of legislative and program changes to HD in SA since 2016. Findings are presented related to the profile and outcomes of two distinct group of prisoners subject to HD: those on court-ordered HD (COHD) and those on release-ordered HD (ROHD) spanning from 2016 - 2022. The report also presents findings from the economic evaluation of home detention in South Australia.Full Tex
Corrigendum: Machine learning clinical decision support for interdisciplinary multimodal chronic musculoskeletal pain treatment
No full textIn the published article, there was a mistake in the corresponding author email address for author Rob J. E. M. Smeets. The email was incorrectly displayed as “[email protected]” The correct email address is: “[email protected]” The authors apologize for this error and state that this does not change the scientific conclusions of the article in any way. The original article has been updated.</p
The metric tun : standardisation, quantification and industrialisation in the British brewing industry, 1760-1830
Full text linkThis thesis considers the British beer-brewing industry around 1800 as a case study exploring current themes in the history of science and technology: the imposition of
reliable standards, the use of instruments and quantities, and the nature of industrial growth. I begin by addressing Michael Combrune, author of the first thermometric
brewing account, showing the influence of Boerhaavian fermentation theory and the eighteenth-century agenda for "commercial chemistry" on his work: Combrune's
fellow brewers, however, did not generally rely on the chemical scheme of management he had established, developing instead highly localised thermometric
operations which did not challenge established understandings. Next, I consider the determination of beer strength, focusing here on the brewer John Richardson's
innovation of the saccharometer, a gravimetric philosophical instrument. I show how Richardson presented both the device and the quantity in which it was scaled, later termed the `brewer's pound, ' as offering brewery-specific advantages, in order to ensure its acceptance whilst at the same time denying its roots in the disputatious field of spirits hydrometry. Richardson did not achieve his wider goal of monopolist control over the device, but his project of saccharometric determination was widely taken up, contributing to a significant change in the composition of beer, as brewers moved from using traditional brown- malts to the saccharometrically preferable pales. This development is then reviewed in the context of an analysis of the identity of London porter, the staple brown beer of London: I investigate the relationship of porter's identity to the uniquely vast and industrialised plants which produced it. Finally, I highlight the ambiguous nature of appeals to `science' or `chemistry' before 1830 by discussing the widespread contemporary panic over adulteration, popularly assumed to
be practised by those who associated with chemists and did not pursue a `traditional' approach to brewing. This controversy was settled, I contend, only with the later
development of a common laboratory-analytical context between brewers, pharmacists and public analysts who were able to redefine the concept of adulteration itself
Missive, raeckende de laest geslotene drievoudige vreede, en behelsende veele naeuwkeurige en polityke opmerkingen over den jegenwoordigen toestant van Europa : geschreven van den bergh Parnassus, /
No full textVingerafdruk 167904 - b1 A2 esverMystification; the real author is unknownVerpakt met de steun van Fonds Inbev-Latour (2010-2012)Herkomst: Vignet Isaac MeulmanTiele, P. A. Bibliotheek van Nederlandsche pamfletten. Verzameling Frederik Muller ; 7694Europeana-GoogleBook
Transformation of residual open spaces into a green community hub: a case study from Sinza D, Dar es Salaam
No full textRapid urbanisation and incremental housing in Dar es Salaam have depleted urban green spaces, leaving many public areas underutilised or privately appropriated. This study, conducted within the Institutional University Cooperation (IUC) between Ardhi University and Hasselt University, examines university-community collaboration (UCC) as a means of transforming such spaces into community-owned and managed green areas. Drawing on 1 year of participatory action research in Sinza D, the study traces how collaboration among researchers, grassroots leaders, and residents evolved through facilitation, reflection, and trust-building. The findings reveal that effective UCC nurtures grassroots leadership, embodied in extended planners, who are local actors mediating between community aspirations and institutional frameworks. These leaders gain legitimacy and adaptive capacity through co-designed and inclusive processes that transform facilitation into shared governance. The study challenges extractive research models and calls for more context-sensitive, enduring collaborations that strengthen local agency in rapidly urbanising African cities.Funding:
The author(s) declare that financial support was received for the research and/or publication of this article. This research was funded under the joint partnership between Hasselt University (Belgium) and Ardhi University (Tanzania) as part of the Institutional University Cooperation (IUC) programme, supported by VLIR-UOS, grant ID: TZ2022IUC042A104.
Acknowledgements
The authors gratefully acknowledge the support of the Institutional University Cooperation (IUC) programme funded by VLIR-UOS, through the partnership between Hasselt University (Belgium) and Ardhi University (Tanzania). Special thanks are 11 Frontiers in Sustainable Cities frontiersin.orgMajogoro et al. 10.3389/frsc.2025.1700035 extended to the grassroots leaders, members of the GSC, MGL, and residents of Sinza D for their trust, collaboration, and active participation throughout the research process. Their insights, actions, and reflections were central to the learning journey documented in this study
Black Power on a City College campus: how Woodrow Wilson junior college became Kennedy-King College
Full text linkThe scholarly research and writings regarding Black students and student activism on community college campuses remain scarce and at the periphery of the mainstream narrative on student activism. This dissertation will examine one student organization, the Afro-American History Club (AAHC), from Chicago's Woodrow Wilson Junior College (WWJC). I will investigate how their efforts successfully demanded a Black Studies program, hired the institutions first Black administrator and first Black president, and influenced a permanent institutional name change from Woodrow Wilson Junior College to Kennedy-King College. Introducing Black community college students from Chicago as key participants in the expansion of the Black Power Movement furthers new lines of scholarly investigation, which allows a more comprehensive and complex understanding of the Black Campus and Black Power Movements. Additionally, this research aims to inject a new term, the Black Community College Campus Movement (BCCCM) into the dominant discourse on student social movements. This term represents the importance of the efforts and impact of Chicago Black community college students to demand education reform as part and parcel of the 1960s Black Campus Movement, America’s Black Power Movement, and the broader history of global student social movements.Submission published under a 24 month embargo labeled 'U of I Access', the embargo will last until 2020-08-01The student, Fredrick Dixon, accepted the attached license on 2018-07-09 at 20:52.The student, Fredrick Dixon, submitted this Dissertation for approval on 2018-07-09 at 21:18.This Dissertation was approved for publication on 2018-07-11 at 16:21.DSpace SAF Submission Ingestion Package generated from Vireo submission #12788 on 2018-09-27 at 11:18:36Made available in DSpace on 2018-09-27T16:30:28Z (GMT). No. of bitstreams: 2
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Table5_Machine learning clinical decision support for interdisciplinary multimodal chronic musculoskeletal pain treatment.docx
No full textIntroductionChronic musculoskeletal pain is a prevalent condition impacting around 20% of people globally; resulting in patients living with pain, fatigue, restricted social and employment capacity, and reduced quality of life. Interdisciplinary multimodal pain treatment programs have been shown to provide positive outcomes by supporting patients modify their behavior and improve pain management through focusing attention on specific patient valued goals rather than fighting pain.MethodsGiven the complex nature of chronic pain there is no single clinical measure to assess outcomes from multimodal pain programs. Using Centre for Integral Rehabilitation data from 2019–2021 (n = 2,364), we developed a multidimensional machine learning framework of 13 outcome measures across 5 clinically relevant domains including activity/disability, pain, fatigue, coping and quality of life. Machine learning models for each endpoint were separately trained using the most important 30 of 55 demographic and baseline variables based on minimum redundancy maximum relevance feature selection. Five-fold cross validation identified best performing algorithms which were rerun on deidentified source data to verify prognostic accuracy.ResultsIndividual algorithm performance ranged from 0.49 to 0.65 AUC reflecting characteristic outcome variation across patients, and unbalanced training data with high positive proportions of up to 86% for some measures. As expected, no single outcome provided a reliable indicator, however the complete set of algorithms established a stratified prognostic patient profile. Patient level validation achieved consistent prognostic assessment of outcomes for 75.3% of the study group (n = 1,953). Clinician review of a sample of predicted negative patients (n = 81) independently confirmed algorithm accuracy and suggests the prognostic profile is potentially valuable for patient selection and goal setting.DiscussionThese results indicate that although no single algorithm was individually conclusive, the complete stratified profile consistently identified patient outcomes. Our predictive profile provides promising positive contribution for clinicians and patients to assist with personalized assessment and goal setting, program engagement and improved patient outcomes.</p
My story [1915-1999]
No full textDescription of Vienna of the author's childhood. Childhood memories of World War One with frequent visits at the maternal grandparents in Budweis. His father, Jakob Gutmann, was an engineering executive with Austrian Siemens-Schuckert. His mother, Margarete Pick, had been born in Altbunzlau, Czechoslovakia and moved to Vienna some time before 1914. The family lived in a modern apartment house in the Second District. Description of domestic life with maids and laundresses. The author and his younger sister Hanne had French governesses and piano lessons. Summer vacations in the countryside. Recollections of his school days in the 'Realgymnasium' and rising National Socialism. Bar Mizwah celebration in 1928. Political unrest. Death of his father in 1931. In the fall of 1934 Friedrich Gutmann entered the Engineering College at the Technical University of Vienna. Recollections of "Anschluss" and detailed description of life in Nazi Germany. Shortly after the "Anschluss" he was suspended from university. He tried to escape to the Netherlands from the Westphalian town Bocholt. During "Kristallnacht" the author was arrested and spent a week in prison. When his visa for the US came through, he was released. He went back to Vienna to prepare for his emigration. His sister had already left for England, where she got married soon after. Friedrich Gutmann left Vienna in February, 1939. Via England, he arrived in New York on March 15th of 1939. He lived with distant relatives in Ohio and worked in a factory. In 1941, he enrolled in Fenn College, Cleveland as a transfer student, taking night classes in engineering. He graduated with the Fenn College class of 1942, with the degree of Bachelor of Science in Mechanical Engineering. Still in Vienna, his mother Margarete was deported to Minsk, in September 1942, where she probably perished. In June 1943, Fred Gutmann was drafted to the US Army. He servedin England and France and was later stationed in Frankfurt, Germany. In August 1945, he came back to Vienna, where he met his future wife, Bertha Rothberger. They married in Vienna in 1946 and went to the USA in 1947. Fred Gutmann worked in various engineering jobs, settling in Caldwell, NJ.Fred (Fredrick Theodore) Gutmann was born Friedrich Theodor Gutmann on September 10th, 1915 in Vienna. He grew up in a well-to-do Jewish family. Fred studied at the Technical University of Vienna and was expelled after the Anschluss in March of 1938. He emigrated to the United States via England in 1939.See also Fredrick Theodore Gutmann Collection AR 11331New YorkEnglandGermanyHollandUnited StatesAustro-Hungarian EmpireChildhoodEducation, primary and secondary, 1918-1933Emigration and immigration, 1933-1945, EnglandHolidays, JewsJews, liturgy and ritualMilitary service, World War I
A Conversation with Charles V. Hamilton
No full text Charles V. Hamilton is the Wallace Sayre Professor Emeritus of Political Science and Government at Columbia University. He is the author of several important books on the study of race and politics, focusing primarily on the African-American experience. He is the coauthor of Black Power: A Politics of Liberation with the late Stokely Carmichael (Kwame Ture), as well as The Black Preacher in America; Bench and the Ballot: Southern Federal Judges and Black Voters; Adam Clayton Powell, Jr.: The Political Biography of an American Dilemma; and coauthor with Dona Cooper Hamilton of The Dual Agenda: Race and the Social Welfare Policies of Civil Rights Organizations. He was interviewed by Fredrick C. Harris, Dean of Social Science and Professor of Political Science at Columbia University, on July 13, 2017, at the University of Chicago. This is an edited transcript; a video of the entire interview can be viewed below or at http://www.annualreviews.org/r/charlesvhamilton . </jats:p
Machine learning clinical decision support for interdisciplinary multimodal chronic musculoskeletal pain treatment
Full text linkIntroductionChronic musculoskeletal pain is a prevalent condition impacting around 20% of people globally; resulting in patients living with pain, fatigue, restricted social and employment capacity, and reduced quality of life. Interdisciplinary multimodal pain treatment programs have been shown to provide positive outcomes by supporting patients modify their behavior and improve pain management through focusing attention on specific patient valued goals rather than fighting pain.MethodsGiven the complex nature of chronic pain there is no single clinical measure to assess outcomes from multimodal pain programs. Using Centre for Integral Rehabilitation data from 2019–2021 (n = 2,364), we developed a multidimensional machine learning framework of 13 outcome measures across 5 clinically relevant domains including activity/disability, pain, fatigue, coping and quality of life. Machine learning models for each endpoint were separately trained using the most important 30 of 55 demographic and baseline variables based on minimum redundancy maximum relevance feature selection. Five-fold cross validation identified best performing algorithms which were rerun on deidentified source data to verify prognostic accuracy.ResultsIndividual algorithm performance ranged from 0.49 to 0.65 AUC reflecting characteristic outcome variation across patients, and unbalanced training data with high positive proportions of up to 86% for some measures. As expected, no single outcome provided a reliable indicator, however the complete set of algorithms established a stratified prognostic patient profile. Patient level validation achieved consistent prognostic assessment of outcomes for 75.3% of the study group (n = 1,953). Clinician review of a sample of predicted negative patients (n = 81) independently confirmed algorithm accuracy and suggests the prognostic profile is potentially valuable for patient selection and goal setting.DiscussionThese results indicate that although no single algorithm was individually conclusive, the complete stratified profile consistently identified patient outcomes. Our predictive profile provides promising positive contribution for clinicians and patients to assist with personalized assessment and goal setting, program engagement and improved patient outcomes
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