Search Results (12,378)

Resilience research is concerned with studying the complex interplay of personal and ecological resources that promote positive adaptation following adversity in different populations. Although much research has investigated adjustment in young persons exposed to intimate partner violence (IPV), most of this research has taken a deficit approach by focusing on the negative cascades of effects that exposure to IPV has on the functioning of this group. In this paper, we discuss a mixed methods integration of two independent strength-based or resilience-focused studies involving Canadian youth exposed to IPV. Study 1 is a qualitative constructive grounded theory study that aimed to identify the coping strategies that youth exposed to IPV use to effectively cope with the traumatic experience of growing up in an IPV-affected family. This study included 13 youths with a history of IPV exposure who completed individual in-depth interviews, the drawing of ecomaps, and photovoice projects. Study 2 is a quantitative population-based study that aimed to identify profiles of adjustment in a cohort of 3886 youth who had previously experienced IPV exposure, as well as the specific risk and promotive factors that significantly predicted membership in the identified adjustment profiles. Both studies independently identified personal and ecological resources that were instrumental in supporting the resilience of study participants. By comparing and contrasting the two sets of findings, the present mixed methods integration provides further evidence on the complex interactions of mechanisms that promote positive adaptation in youth exposed to IPV, which aligns with a multisystemic understanding of resilience in this population. We provided recommendations for practice and policy based on the integrated findings. Full article

In this study, we examine the critical question of whether global equity and bond assets (both green and non-green) offer effective hedging and safe haven properties against stock market risks in South Asia, with a focus on Bangladesh, India, Pakistan, and Sri Lanka. The increasing integration of global financial markets and the volatility experienced during recent economic crises raise important questions regarding the resilience of South Asian markets and the potential protective role of global assets. Drawing on methods like VaR and CVaR tail risk estimators, the DCC-GJR-GARCH time-varying connectedness approach, and cost-effectiveness tools for hedging, we analyze data spanning from 2014 to 2022 to assess these relationships comprehensively. Our findings demonstrate that stock markets in Bangladesh experience lower levels of downside risk in each quantile; however, safe haven properties from the global financial markets are effective for Bangladeshi, Indian, and Pakistani stock markets during the crisis period. Meanwhile, the Sri Lankan stock market neither receives hedging usefulness nor safe haven benefits from the same marketplaces. Additionally, global green assets, specifically green bond assets, are more reliable sources to ensure the safest investment for South Asian investors. Finally, the portfolio implications suggest that while traditional global equity assets offer ideal portfolio weights for South Asian investors, global equity and bond assets (both green and non-green) are the cheapest hedgers for equity investors, particularly in the Bangladeshi, Pakistani, and Sri Lankan stock markets. Moreover, these results hold significant implications for investors seeking to optimize portfolios and manage risk, as well as for policymakers aiming to strengthen regional market resilience. By clarifying the protective capacities of global assets, particularly green ones, our study contributes to a nuanced understanding of portfolio diversification and financial stability strategies within emerging markets in South Asia. Full article

Work has been undertaken in the healthcare sector to explore ways of co-producing design responses with different communities and organisations. However, we lack empirical analysis of how design thinking can help tackle complexity. To assist the Healthier Working Lives programme, we curated the Ripple Framework to develop trust and attempt to address the challenges of complexity in residential care. Through a generative design process, data were used to collaboratively define bespoke co-design pathways with 31 participants from six Scottish care providers over ten months. Thematic, content, and matrix analyses produced insights to inform vignettes illustrating how design responded to complex social care sector needs, with a particular focus on the fulfilment and flourishing of the care workforce. Drawing on our empirical material and using the Design Research Value Model, we illustrate how we have developed social, cultural, and economic value in care through co-design, enabling an opportunity to test the novel methodology. Full article

Biblical Scholars working with ancient texts are engaged in the daily task of Bible translation. A commitment to Biblical Performance Criticism (BPC) can be transformative in the task of translation. It is argued in this paper that responsible translation will work towards replicating the artistry of original transmitters of texts in order to draw out traces of the original orality embedded in the texts. Examples of performance-sensitive translations of texts predominantly from the Hebrew Bible are provided. This e-paper also demonstrates that translations that draw out performative elements contribute to interpretation, especially when such scripts are staged before audiences. Subsequent analysis of the performance including audience response contributes to such interpretation. Performance-sensitive translation and actual performance thus become tools for embodiment and the interpretation of biblical texts in our own time. Full article

More than half of the private forestland in the U.S. is under non-industrial private forest (NIPF) ownership. Understanding NIPF landowners’ decision-making is crucial for developing effective policy that promotes sustainable forest management practices and ensures forest health. This study investigates the factors influencing the adoption of different management practices, with a focus on potential crowding effects among these practices. Drawing on data from over four hundred NIPF landowners in the U.S. central hardwood region, a series of binary logistic regression models were employed to analyze the relationship between landowner and forestland characteristics and the likelihood of adopting various management practices, like invasive plant management, forest stand improvement, and grapevine control. The findings reveal that factors, such as forest acreage, proximity of landowner residence to the forest, and education level, significantly affect the likelihood of adopting management practices. More importantly, this study found evidence of crowding-in effects, where implementing one practice increased the probability of adopting others, suggesting a preference among NIPF landowners for a diverse approach to forest management. Full article

Accurate earthwork quantity estimation is essential for effective project planning and cost management in the Architecture, Engineering, and Construction (AEC) industry. Traditional methods for quantity takeoff are often time-consuming and susceptible to human error, particularly when working with unstructured datasets such as CAD drawings. This study introduces the Earthwork Network Architecture (ENA), a novel deep learning framework that incorporates Large Language Models (LLMs), Multi-Layer Perceptron (MLP), Long Short-Term Memory (LSTM) networks, and Transformers to automate and enhance the accuracy of earthwork quantity estimation. We assume that if LLMs can be trained effectively using such unstructured construction dataset, the effects such as improved accuracy and the challenges of LLMs can be clearly examined. Among the architectures tested, the LLM-based ENA demonstrated superior performance, achieving faster convergence, greater loss reduction, and higher classification accuracy, with a Quantity Takeoff Classification accuracy of 97.17%. However, the LLMs required significantly more computational resources compared with other models. These findings suggest that LLMs, typically used in natural language processing, can be effectively adapted for complex AEC datasets. This study lays the groundwork for future AI-driven solutions in the AEC industry, underscoring the potential of LLMs and Transformers to automate the quantity takeoff process and manage multimodal data in construction projects. Full article

This study investigates the key factors which influence design learners’ behavioral intention to collaborate with AI in the educational metaverse (EMH-AIc). Engaging design learners in EMH-AIc enhances learning efficiency, personalizes learning experiences, and supports equitable and sustainable design education. However, limited research has focused on these influencing factors, leading to a lack of theoretical grounding for user behavior in this context. Drawing on social cognitive theory (SCT), this study constructs a three-dimensional theoretical model comprising the external environment, individual cognition, and behavior, validated within an EMH-AIc setting. By using Spatial.io’s Apache Art Studio as the experimental platform and analyzing data from 533 design learners with SPSS 27.0, SmartPLS 4.0, and partial least squares structural equation modeling (PLS-SEM), this study identifies those rewards, teacher support, and facilitating conditions in the external environment, with self-efficacy, outcome expectation, and trust in cognition also significantly influencing behavioral intention. Additionally, individual cognition mediates the relationship between the external environment and behavioral intention. This study not only extends SCT application within the educational metaverse but also provides actionable insights for optimizing design learning experiences, contributing to the sustainable development of design education. Full article

The increasing frequency of extreme climate events may significantly alter the species composition, structure, and functionality of ecosystems, thereby diminishing their stability and resilience. This study draws on temperature and precipitation data from 53 meteorological stations across Mongolia, covering the period from 1983 to 2016, along with MODIS normalized difference vegetation index (NDVI) data from 2001 to 2016. The climate anomaly method and the curvature method of cumulative NDVI logistic curves were employed to identify years of extreme climate events and to extract the start of the growing season (SOS) in Mongolia. Furthermore, the study assessed the impact of extreme climate events on the SOS across different vegetation types and evaluated the sensitivity of the SOS to extreme climate indices. The study results show that, compared to the multi-year average green-up period from 2001 to 2016, extreme climate events significantly impact the SOS. Extreme dryness advanced the SOS by 6.9 days, extreme wetness by 2.5 days, and extreme warmth by 13.2 days, while extreme cold delayed the SOS by 1.2 days. During extreme drought events, the sensitivity of SOS to TN90p (warm nights) was the highest; in extremely wet years, the sensitivity of SOS to TX10p (cool days) was the strongest; in extreme warm events, SOS was most sensitive to TX90p (warm days); and during extreme cold events, SOS was most sensitive to TNx (maximum night temperature). Overall, the SOS was most sensitive to extreme temperature indices during extreme climate events, with a predominantly negative sensitivity. The response and sensitivity of SOS to extreme climate events varied across different vegetation types. This is crucial for understanding the dynamic changes of ecosystems and assessing potential ecological risks. Full article

Lesson study, a collaborative teacher professional development approach, has gained popularity internationally and leading the process with teachers plays a key role in making it sustainable in schools. This paper, which draws on a postgraduate university course for prospective school leaders, examines the dynamic roles in leading lesson study. Drawing on the literature on lesson study and leadership, we analyse how postgraduate students lead lesson study while navigating their status as an insider–outsider. Using a theoretical lens informed by the insider–outsider researcher debate, we propose a classification framework to understand lesson study leaders’ statuses. Presenting two case studies, we explore the strategies for the selection of LS participants, communication, and trust-building, as well as the leaders’ dilemmas and learning opportunities. Drawing on the findings, we highlight the central role of reflective practice in leading lesson study and offer insights for practitioners. This study sheds light on the nuanced dynamics of leading lesson study and its implications for the preparation of prospective leaders. Full article

A helium ion microscope (HIM) with a focused He⁺-ion beam of variable flux and energy can be used as a tool for local nanoscale surface modification. In this work, we demonstrate a simple but versatile use of the HIM focused He ion beam to fabricate conducting metallic nano- and microstructures on arbitrary substrates of varied types and shapes by directly patterning pre-deposited initially discontinuous and highly insulating (>10 TΩ/sq.) ultrathin metal films. Gold or silver films, measuring 3 nm in thickness, thermally evaporated on solid substrates have a discontinuous nanocluster morphology. Such highly resistive films can be made locally conductive using moderate doses (2 × 10¹⁶–10¹⁷ cm⁻²) of low-energy (30 KeV) ion bombardment. We show that an HIM can be used to directly “draw” Au and Ag conductive lines and other patterns with a variable sheet resistance as low as 10 kΩ/sq. without the use of additional precursors. This relatively straightforward, high-definition technique of direct writing with an ion beam, free from complex in vacuo catalytic or precursor chemistries, opens up new opportunities for directly fabricating elements of conformal metallic nanocircuits (interconnects, resistors, and contacts) on arbitrary organic or inorganic substrates, including those with highly curved surfaces. Full article

This article delves into the landscape of the plant-based food industry, exploring innovative market entry strategies and their interplay with the evolving food market and shifting consumer preferences and lifestyles. Adopting a multidimensional approach, the study reflects diverse perspectives at play. Through a comparative analysis of strategic promotion and growth strategies employed by both innovative startups and established industry giants in the plant-based alternatives sector in Germany, the study aims to capture the challenges faced by the ‘newer’ wave of plant-based alternatives. This examination is particularly relevant for navigating the complexities of entering a competitive market. Striving to penetrate evolving consumer lifestyles, the study draws insightful comparisons with their “older” counterparts. In addition, through in-depth interviews with selected companies, the study investigates the entry methods of startups venturing into the German market, aiming to identify parallels and contrasts in market strategies with established brands. This provides valuable insights into innovation within the alternative food market. Furthermore, the study explores the process of brand “platformization” by scrutinizing the websites of the selected companies and analyzing customers’ online reviews of their brand experience. This comprehensive analysis unveils distinctive patterns in communication strategies, brand positioning, and consumer engagement, offering insights into the ways plant-based innovation shapes new, caring lifestyles. The main findings include a strong correlation among dimensions related to food quality, use, and taste, indicating a holistic approach to food consumption facilitated by online platforms. Full article

Augmenting the author’s prior research on lyrical code-switching, as presented in Picone, “Artistic Codemixing”, published in 2002, various conceptual frameworks are made explicit, namely the enlistment of multimodal and intertextual approaches for their methodological usefulness in analyzing and interpreting message-making that incorporates lyrical code-switching as one of its components. Conceived as a bipolarity, the rooted (or local) and the transcendent (or global), each having advantages in the negotiation of identity, is also applied to the analysis. New departures include the introduction of the notion of “curated lyrical code-switching” for the purpose of analyzing songs in which multiple performers are assigned lyrics in different languages, as a function of their respective proficiencies, as curated by the person or persons having authorial agency and taking stock of the social semiotics relevant to the anticipated audience. Moving beyond the negotiation of the identity of the code-switching composer or performer, in another new departure, attention is paid to the musical identity of the listener. As a reflection of the breadth of lyrical code-switching, a rich assortment of examples draws from the musical art of Beyoncé, Jon Batiste, Stromae, Shakira, BTS, NewJeans, Indigenous songsmiths, Cajun songsmiths, Latin Pop and Hip-Hop artists, songs composed for international sports events, and other sources. Full article

Computer Vision Syndrome (CVS) is a highly prevalent syndrome today, yet it remains relatively understudied, leading to limited awareness among users about this syndrome and its preventive measures. This study aims to draw attention to this syndrome among authors and researchers and encourage further research in this area. Data were retrieved from the databases PubMed, Lens, Scopus, and Google Scholar, compiling existing articles and publications from the CVS domain. Analyses cover the period from 1 January to 31 December 2023. Zotero 6.0.27, VOSviewer 1.6.20, and Microsoft Excel software were used for data analysis. A total of 893 papers were reviewed, with 578 papers included in our analysis. The study presents five different analyses showing top authors and publishers, publication trends over the years, as well as papers by source, and, finally, the most frequently used keywords. The results highlight trends in various aspects related to this issue, through the analysis of published articles over the years, along with prominent authors and their respective countries. The focus of this research is on computer vision syndrome and its representation in scientific databases. What is clearly evident from this study is the increasing trend in research over the years, as well as the leading countries in these studies. However, it is also apparent that further research in this area is needed to bring new insights to researchers and raise awareness among users who encounter computers in their daily work. Full article

This research investigated the real-world operational performance of five purposely designed and built net-zero-energy houses in Melbourne, Australia. The embodied energy and carbon emissions of these houses were calculated based on their architectural and engineering drawings, as well as the relevant databases of embodied energy and emission factors. Operational data, including solar production, consumption, end uses, battery usage, grid import, and grid export, were measured using the appropriate IoT devices from May 2023 to April 2024. The results showed that all the studied houses achieved net-zero energy and net-zero carbon status for operation, exporting between 3 to 37 times more energy than they consumed to the grid (except for house 2, where the consumption from the grid was zero). The embodied carbon of each case study house was calculated as 13.1 tons of CO₂-e, which could be paid back within 4 to 9 years depending on the operational carbon. Achieving net-zero cost status, however, was found to be difficult due to the higher electricity purchase price, daily connection charge, and lower feed-in tariff. Only house 2 was close to achieving net zero cost with only AUD 37 out-of-pocket cost. Increasing the energy exported to the grid and storing the generated solar energy may help achieve net-zero cost. The installation of batteries did not affect the net-zero energy or emission status but had a significant impact on net-zero operational costs. However, the calculated payback period for the batteries installed in these five houses ranged from 43 to 112 years, making them impractical at this stage compared to the typical 10-year warranty period of the batteries. With rising electricity purchase prices, decreasing feed-in tariffs (potentially to zero in the future/already the case in some areas), and government incentives for battery installation, the payback period could be reduced, justifying their adoption. Moreover, the installed 13.5 kWh Tesla battery was too big for households with lower energy consumption like houses 2 and 5, which used only 25% of their total battery capacity most of the year. Therefore, selecting an appropriately sized battery based on household consumption could further help reduce the payback period. Full article

Through fieldwork conducted between 2014 and 2016 in Arkhangelsk, Naryan-Mar, Krasnoye, and Saint Petersburg, this paper investigates the endangered status of Tundra Nenets, an underrepresented and understudied Samoyedic minority language in northern Russia. Criteria for assessing language endangerment are applied to Tundra Nenets while also taking into consideration the interplay between language identity, reactive ethnicity, negative attitudes, and state politics. The personal story of NC, a Tundra Nenets woman, serves as a case study and exemplifies the impact of decades of marginalization, stigmatization, and discrimination on the cultural and linguistic identity. NC’s narrative illustrates how negative attitudes are exacerbating the decline of Tundra Nenets, further threatening its survival. Because of its absence from schools and institutions, Tundra Nenets seems to be turning into a heritage language in its own homeland. This paper studies the complex interplay between identity, language, and societal pressures, illustrating the broader challenges faced by the Tundra Nenets and other minority communities in maintaining their linguistic and cultural heritage. While the situation remains dire and political action is called for, efforts in boosting language awareness, documentation, and revitalization offer potential pathways for the preservation of Tundra Nenets, drawing on successful examples from other endangered language communities. Full article