116320 research outputs found
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Culture Matters to Mathematics Teaching and Learning Research Studies in Honor of Professor Frederick K. S. Leung
No full textThis book, compiled in honor of Chair Professor Frederick K. S. Leung, contributes to revisiting, renewing and enriching the knowledge of cultural matters to mathematics education, widening the horizon in the use of cultural perspectives to ..
The Australia and New Zealand clinical quality registry for the treatment of eating disorders (TrEAT Registry): protocol and preliminary data.
No full textBACKGROUND: Eating disorders are a major public health concern in Australia and Aotearoa New Zealand, with significant morbidity, mortality, and economic burden. Despite substantial government investment in eating disorder care, there is limited infrastructure to evaluate treatment outcomes, particularly in community settings. Clinical Quality Registries (CQRs) offer a mechanism for systematic data collection, benchmarking, and feedback to improve care quality. The Australia and New Zealand Clinical Quality Registry for the Treatment of Eating Disorders (TrEAT Registry) was developed to address this gap. METHODS: The TrEAT Registry is a multi-centre, longitudinal CQR that collects clinician- and client-reported data across outpatient, day patient, residential, and inpatient settings. Data are collected at treatment commencement, during treatment, and at discharge or follow-up. Clients aged 13 years and older provide informed consent to contribute de-identified data to a research databank. Core measures include the Eating Disorder Examination Questionnaire (EDE-Q), Clinical Impairment Assessment (CIA), and Depression Anxiety and Stress Scale (DASS-21). RESULTS: Between September 2021 and June 2025, 754 clients were invited to contribute their clinical data to the registry databank, with 88.1% consenting and 93.7% of consenting participants completing the pre-treatment survey. The sample was predominantly female (91.8%), young (mean age = 26.0 years), and urban-dwelling (> 85%). Most clients in the registry were treated in privately operated outpatient settings. Mean scores on the EDE-Q (Global = 3.80), CIA (Total = 30.92), and DASS-21 subscales (Depression = 10.29, Anxiety = 7.00, and Stress = 10.67) indicated clinically significant symptomatology. CONCLUSIONS: The TrEAT Registry is a pioneering initiative in eating disorder care, providing infrastructure for health surveillance, quality improvement, and research. The registry has supported real-world research and clinical trials, including ongoing evaluations of residential and virtual day programs, and planned evaluation of Medicare and credentialing systems. Its unique inclusion of private sector clinics and client consent enhances ethical standards and data richness. Planned expansion and digital enhancements aim to improve coverage, data accessibility, and follow-up rates, supporting a learning health system across Australia and New Zealand. Trial registration Registered on the Australian Register of Clinical Registries (#ACSQHC-ARCR-279)
Investigating Memory Culture After the 2011 Terrorist Attacks in Norway
No full textThis chapter first charts the intersection of developing fields in the study of terrorism and the more established memory studies, particularly in relation to memorialisation and trauma in the immediate aftermath of the attack. Second, it questions the fundamental assumptions about the establishment of memorial processes, examining both institutional and non-institutional narratives emerging, particularly in relation to social media and its impact on the dynamics of remembering and forgetting. We then focus on the varying accounts of the remembrance process and explore their shifting meanings in public memories that change over the thirteen years since the attack, and are constantly being negotiated in response to present circumstances. Finally we make several observations about general trends in memorialisation: the globalising and digitalising of memory practices, the speed of memorial initiatives, the role of testimony, and the importance of diverse narratives emerging through different modes of communication in arts, culture, politics, justice, education, and heritage
Enhanced group recommendation system: A hybrid context-aware approach with collaborative filtering for location-based social networks
No full textIn recent years, location-based social networks (LBSNs) have gained significant popularity, enabling users to interact with points of interest (POIs) using modern technologies. As more people rely on LBSNs for finding interesting venues, contextually aware and relevant recommendation systems have become very beneficial with practical applications. In this research, we propose an enhanced hybrid recommendation system, designed for LBSNs to improve the accuracy of suggestions by integrating collaborative filtering methods with singular value decomposition to handle sparse data, along with context-aware modeling to tailor recommendations based on user interests, and group recommendation to accommodate multi-user scenarios. In addition, we incorporate contextual aspects, such as spatial proximity and temporal behavior, into the model to ensure recommendations align closely with the user’s present surroundings and preferences. The proposed method extends further to group recommendations by considering individual inclinations into cohesive suggestions for groups interested in visiting POIs together. The proposed method is assessed using precision, recall, and F1 score, ensuring a thorough evaluation of its performance. To further highlight context-aware recommendations, we use clustering based on user preference, temporal behavior, and category-wise interaction to identify patterns across various venue types. The proposed method shows improved recommendations, specifically based on data from LBSNs, and develops an efficient solution for balanced user preferences with contextual influences
Assisted Self-Governance: The CASS Model of Volunteering among Older Immigrants
Get PDFIn Australia's multicultural ageing context, older immigrants’ community participation is shaped by institutional arrangements that value inclusion yet struggle to accommodate cultural difference. This article examines how CASS Care Ltd, a long-standing community organisation, supported culturally and linguistically diverse (CALD) older adults to become volunteers. Drawing on qualitative analysis of group activities and interviews, the study finds that the defining feature of the CASS Model is assisted self-governance, composed of three interdependent elements: empowerment, institutional support, and cultural sensitivity. Together, these elements explain how older immigrants transition from passive service recipients to active community volunteers. We argue that assisted self-governance is a practical model of culturally responsive governance through which volunteering becomes both community-led and institutionally supported and sustained. By theorising this model, the article advances understandings of ageing, migration, and multicultural governance, illustrating how inclusion can be achieved through relational and culturally grounded forms of organisation.</jats:p
Toward a Hybrid Cybersecurity Framework of Machine Learning and Business Intelligence into Supply Chain Risk Management
No full textIn the current dynamic digital era, the increasing complexity of cybersecurity threats requires adopting a proactive and predictive attitude to enhance the process of risk management. Supply chain risk management (SCRM) is a critical case in which businesses deal with several external entities that make them susceptible to high potential threats and vulnerabilities. Integrating ML into SCRM with a focus on the shipment process can mitigate those threats and vulnerabilities. This study proposed a hybrid cybersecurity framework to embedded ML algorithm for the reason of anticipating and mitigating the risk. To recognising the technical limitations of strictly data-driven decision-making process, the framework integrates expert judgement from the fields of business and cybersecurity. By providing a practical framework for enhancing cybersecurity within supply chains in the form of a business intelligence tool that facilitates improved decision-making, this research contributes to SCRM theory by laying the foundation for ML integration
Detection of antibiotic resistance genes in wastewater and sludge
No full textThe occurrence and transmission of antibiotic resistance genes (ARGs) in wastewater and sludge from wastewater treatment plants (WWTPs) are recognised as significant concerns. These genes primarily originate from pharmaceutical wastewater, and pharmaceutical use in human and livestock. Recent advancements in ARG detection technologies have significantly improved our ability to identify ARGs. Traditional methods such as culture-based analysis, quantitative polymerase chain reaction (qPCR), and shotgun metagenomic sequencing have been instrumental in uncovering the prevalence and distribution of ARGs in wastewater and sludge samples. Additionally, emerging techniques such as EpicPCR, third-generation sequencing, DNA microarray, droplet digital PCR, and single-cell genome sequencing have further enhanced ARG detection, offering increased throughput, diversity, and host identification capabilities. Globally, a diversity of ARGs have been detected in wastewater and sludge with various resistance regulating mechanisms. This chapter provides a comprehensive summary of the origin, detection approaches, and diversity of ARGs detected in wastewater and sludge from WWTPs
Using the postmortem epinecrotic microbiome as a tool for time since death estimations.
Get PDFThe estimated time since death, or postmortem interval (PMI), is a crucial piece of information in forensic death investigations. Current scientific methods used to estimate this timeframe do not always provide the most accurate predictions and often rely on subjective interpretations. The microbiome has recently been recognized as a large impactor of human decomposition and current research shows its potential to provide additional accuracy to PMI estimations. As bacteria are ubiquitous, persistent, and due to recent advancements in technology genetically identifiable, microbial analysis effectively complements other forensic science approaches. However, this new field of forensic research requires standardization, foundational validity, and research collaboration if it is to be considered reliable for use as evidence in the court of law. This review discusses the potential for forensic microbiology to be used as an additional estimator for the PMI, the advantages of epinecrotic microbiome sampling, and outlines further steps needed for the integration of this discipline into forensic practice
Building Better Website Resources: What People Diagnosed with Sarcoma and Their Carers Want to Know.
Get PDFSarcomas are a group of aggressive cancers, primarily affecting the soft tissue or bone [...]
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