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The Long Shadow of Intimate Partner Violence: Associations of Mental and Physical Health With Employment, Housing, and Demographic Factors
No full textOngoing health issues influence the postseparation lives of survivors of intimate partner violence (IPV). This study identified associations between health following IPV and demographic, housing, employment, and social participation factors. Survivors of IPV in Australia were surveyed. Logistic regression assessed factors of interest with physical and mental health conditions. Six hundred and fifty-eight women participated. Physical health issues were associated with reduced skills and confidence in employment. A mental health diagnosis was associated with women not working as desired and lower incomes. Screening for health impacts and longer-term responses to women could reduce the long shadow of IPV impacts
Enabling workplace thriving: A multilevel model of positive affect, team cohesion, and task interdependence
No full textThis research advances the workplace thriving literature by offering a multilevel view regarding the impact of positive affective resources on employee and team thriving. We conducted our study with 285 employees from 62 teams to examine a multilevel model involving the relationship between high-activated positive affect (HAPA) and thriving at individual and team levels. Results demonstrated that team HAPA triggered team cohesion, which in turn enhanced team thriving, and that individual HAPA promoted individual thriving. While task interdependence did not moderate the effects of team HAPA on team cohesion or, in turn, on team thriving, cross-level moderation showed that task interdependence strengthened the relationship between individual HAPA and individual thriving. These findings extend the knowledge regarding the relationship between positive affect and thriving by confirming the role of affect activation, identifying a team-level mechanism, and clarifying a boundary condition
Temporal variations of vaccine hesitancy amid the COVID-19 outbreaks in Hong Kong
No full textTo inform the dynamic adjustments of vaccination campaigns, this study examined the transitions among vaccine hesitancy profiles over the COVID-19 pandemic progression and their predictors and outcomes. The transition patterns among hesitancy profiles over three periods were identified using a latent transition analysis with individuals from a longitudinal cohort study since the emergence of COVID-19 in Hong Kong. Four profiles (i.e., skeptics, apathetics, fence-sitters, and believers) emerged consistently over time. From Period 1 (third and fourth pandemic waves) to Period 2 (dormant period, vaccine rollout), 14.17% of believers became fence-sitters (ambivalization), and 12.11% of fence-sitters became apathetics (apathetization). From Period 2 to Period 3 (omicron surge and vaccine mandates), 20.21% of believers became fence-sitters. Lower trust in government predicted a transition to skepticism, whereas higher trust predicted the opposite. Staying as believers was associated with decreased hygienic and social distancing behavior. The stable hesitancy profiles amid the rapid vaccine uptake suggest that structural factors rather than personal agency may drive the surge. Ambivalization and apathetization may signal disengagement in preventive behaviors. Trust in the government is crucial in the pandemic response. Public health interventions may improve compliance with guidelines and prevent skepticism and apathy
Why isn’t my professor Aboriginal?
No full textThis article focuses on the lived experience of a Karajarri Yawuru, First Peoples Doctoral candidate and his interactions with the Academy. This article draws on three vignettes and highlights first, racism that questions First Peoples’ academic expertise and knowledge, second, racism that dismisses and demeans First Peoples’ lived experience and third, racism that instrumentalises First Peoples’ academics. We argue that despite the aspirational strategies and good intentions of Australian universities, the deeply embedded and pervasive nature of colonisation and institutional whiteness has to be identified and challenged in order for First Peoples to take their rightful place in the Academy. JEL Classification: J15, J71, M14, Z13
Optimization of Arsenic Fixation in the Pressure Oxidation of Arsenopyrite Using Response Surface Methodology
No full textArsenic is a common pollutant and impurity present in complex gold ores. In the pressure oxidation (POX) of refractory gold-bearing sulfides, a major environmental challenge is the treatment of the hazardous waste released from arsenic-bearing minerals during processing. While the bulk removal of arsenic from solution can occur during POX, the formation of stable arsenates relies on the operating conditions during POX and the subsequent curing stage. Herein, response surface methodology (RSM) and central composite design have been investigated as viable approaches for optimizing arsenic fixation during the curing of the POX product of arsenopyrite. Curing time (0–24 h) and temperature (60–120°C) were examined as the model variables for RSM optimization, and the performance was assessed via arsenic and iron precipitation, along with the change in free acid and sulfate concentrations. Experimental validation of the optimized model conditions demonstrated good agreement with the simulated outputs and provided a 10% increase in arsenic removal over the best model input. The formation of basic ferric arsenate sulfate and scorodite under these conditions was supported by RSM and confirmed via characterization. In the investigated system, the maximum arsenic removal occurs at a critical threshold temperature of 107°C, over which the scorodite formation decreases with temperature. Thermodynamic modeling revealed the preferable formation of soluble FeHAsO4+ complexes over scorodite above this threshold temperature, decreasing arsenic fixation at higher temperatures
Modern slavery legislation and the limits of ethical fashion
No full textThe introduction of the Australian Modern Slavery Act in 2018 has important implications for the fashion sector and the supply chains that it furnishes. However, it also introduces an added layer of complexity to the already crowded space of ethical fashion information. This article investigates how fashion consumers navigate the increasingly complex landscape of ethical fashion against the backdrop of new legislation and alongside the moral imperatives and pressures of environmental media. Research into sustainable fashion often suggests that more reporting, more transparency, more information is necessary in order to educate consumers about ethical options. However, our survey and interview data illustrate that even the most informed and knowledgeable consumers find it difficult to navigate the information that is available, often becoming overwhelmed when it comes to buying ethically. Taking seriously the competing demands driving ethical consumption, we argue that understanding how the mechanisms of failure operate in the ethical fashion landscape, particularly feelings of shame and guilt, can give us greater knowledge of fashion consumer attitudes and practices. This, in turn, may lead to a better awareness of the needs of conscious consumers as well as the limits of ethical fashion. We advocate for an acknowledgment of consumer imperfection to shift away from pathologizing the consumer or the commodity itself and to focus instead on the consumer’s thwarted relationship with the means of production and the complicated global networks of engagement that inform ethical consumption
Diplomacy, Propaganda, and Journalism in the Digital Landscape
No full textThis chapter embarks on a critical discussion about the interplay among news networks and owners, and the deployment of public diplomacy tactics in contemporary transnational broadcasting. Looking at the current thinking around public diplomacy and journalism, as well as the three models of international broadcasting in public diplomacy, it puts forth the emerging model for guiding the engagement of broadcasting with mediated public diplomacy within the digital media landscape. The discussion is based upon the seminal work of Philip Seib and others supported by the empirical observation of the journalistic practice of international broadcasters in the virtual space. It specifically discusses the dilemma between public diplomacy and propaganda within international broadcasting in journalistic practice
Digital Transformation and Gender Representation: A Study of Service Advertisements in Vietnam
No full textThe digital transformation in Vietnam offers new opportunities for targeted advertising, but also enables biased and stereotypical content to be delivered quickly. Digital content can greatly impact public perception of gender roles and stereotypes, leading researchers to examine gender portrayals in digital ads for service brands in Vietnam. A content analysis of 300 digital service commercials found that female characters were more prominent than male ones and were often depicted in multiple roles. However, recent ads increasingly portrayed collaboration between female and male characters, and femvertising messages were conveyed more often. Despite these positive changes, gender stereotypes in digital advertising persist. This study highlights the need for policymakers and advertising professionals to consider the impact of gender portrayals in digital ads and strive for more balanced and non-stereotypical representations
Mineral prediction based on prototype learning
No full textIn the field of mineral resource prediction, acquiring labeled data and bearing high annotation costs pose significant challenges. Moreover, distinct characteristics are present in different types of data, including geophysical, geochemical, and geological data. However, conventional deep learning methods often treat all data uniformly, neglecting the specificities inherent in various domains of knowledge. To address these issues, we propose Geo-Meta, an optimized prototype learning model that combines prototype learning, metric learning, and meta-learning strategies to classify multi-source geological samples. Geo-Meta utilizes tailored network architectures for different data types to fuse features and compute prototypes in the metric space. Additionally, it employs a generative model to identify subtle anomaly features and incorporates a semi-supervised algorithm based on label propagation to refine the initial prototypes, enhancing their robustness and category-awareness. Furthermore, Geo-Meta incorporates a dynamic distance metric module to quantify the similarity between sample features and class prototypes, facilitating effective category partitioning. Extensive experimentation demonstrates that our proposed model achieves remarkable performance. It attains an impressive Area Under the Receiver Operator Curve (AUC) of 98% without data augmentation, using a significantly limited number of samples. Moreover, it accurately identifies approximately 93% of ore deposits within only 7% of the study area, surpassing similar models in both accuracy and efficiency. The mineral resource prediction map generated by Geo-Meta aligns with the spatial distribution of mineral resources and adheres to geological knowledge, providing valuable technical support for decision-making in target area exploration. Our proposed model enables the adaptation of deep learning algorithms to geological big data, offering substantial potential for cost and time reduction in mineral predicti