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A spatial context-aware model for climate model data fusion
No full textAcquiring more accurate climate model data is crucial for conducting precise regional climate studies. Most studies use linear weighting methods or a single machine learning model fusing multiple climate model datasets to reduce uncertainty. However, these methods use the identical model globally and ignore local characteristics of various climate models. This study develops a spatial context-aware fusion (SCAF) model to fuse multi-source climate data by constructing distinct models at different spatial locations, capturing local climate features and enhancing the regional applicability of the climate data. The developed SCAF model is implemented in the fusion of radiation data using 22 CMIP6 climate models in the upper Yellow River. Results show that SCAF can effectively fuse regional radiation data with correlation coefficients higher than 0.95 between the fused data and observed data at any location across space. As such, SCAF can effectively capture regional climate characteristics through spatially local modelling. In addition, the analysis of future radiation trends shows that the rate of radiation decline accelerates with stronger scenario models, with decreases ranging from 0.123 to 0.7771 W/m2 per decade. The model demonstrates significant advantages and has a broad potential to effectively fuse regional climate models
Exploring Boron Difluoride Complexes of 2-Ketopyrroles
Full text linkBoron difluoride complexes of 2-ketopyrroles have yet to gain popularity in literature and their analogues remain relatively few, with only nine boron difluoride complexes of 2-ketopyrroles reported. Moreover, an application for this class of compound has yet to be established. This work reports the synthesis and subsequent investigation of 10 boron difluoride complexes of 2-ketopyrroles
Artificial-intelligence Based Multi-objective Optimisation for Concrete Incorporating Solid Wastes
No full textThe construction industry is a major contributor to carbon emissions and resource depletion. This thesis advances sustainable construction by integrating solid waste recycling, advanced construction materials, 3D concrete printing, machine learning, optimisation techniques, and life cycle assessment. By developing predictive models, optimisation strategies, and environmental evaluations, this research enhances material efficiency and mitigates environmental impact. The findings provide a scientific foundation for transitioning towards resilient, sustainable, and circular construction practices
The C-CAP Process: A Comprehensive Approach to Community Resource Mapping
No full textIntroduction: Place-based systems change approaches are gaining popularity to address the complex problems associated with locational disadvantage. An important stage of place-based systems change involves understanding the context that surrounds (re)produces a target problem. Community resource mapping can be used to establish the context and identify the strengths of a community that might be leveraged through systems change efforts. Approaches to community resource mapping draw on a range of philosophical assumptions and methodological frameworks. However, comprehensive, practical guidance for researchers and practitioners to conduct community resource mapping is scarce. Method: Drawing on the learnings from a literature review, scoping workshops, and reflective practice sessions, we developed a flexible, methodologically robust process called the Contextualize, Collect, Analyze, and Present (C-CAP) process: a four-phase approach to preparing for, conducting, and reporting on community resource mapping. The C-CAP process was co-developed by researchers and practitioners and was tested and refined in two different communities. Results: The C-CAP process provides robust guidance for conducting and reporting on a community resource mapping project. The C-CAP process can be applied by public health practitioners and researchers and adapted for use across different communities, problems, and target groups. We encourage others guided by differing theoretical perspectives to apply C-CAP and share the learnings. Conclusion: Application of the C-CAP process has the potential to improve the comparability and comprehensiveness of findings from community resource mapping projects and avoids duplication of effort by reducing the need to design new processes for each new community resource mapping activity
Educators' reflections in Australian aboriginal translingual classrooms: Entanglement of language, culture, and emotionality
No full textIn this chapter, we discuss challenges involved in teachers' emotional entanglement with racial, ethnic, cultural, and linguistic diversity in Australian Aboriginal translingual classrooms. The importance of exploring teachers' emotionality in translingual classrooms lies in expanding our understanding of this space as diverse, positive, and encouraging and also towards perceiving it as a space infused with strong emotions and histories. This includes stories of microaggressions, racism, and linguicism. As a team of educators and researchers, we weave our narratives within applied linguistics and social justice. At the same time, we give countenance to psychological well-being, reflecting on our experiences in the translingual classrooms of Aboriginal youth. Our narratives show the importance of empathy, familiarity, and intimacy and how supporting resilience, engaging in political discourse, addressing gaps in mental health support, and relatability are important factors that should be considered in such classrooms as ways to support culturally and linguistically diverse students
Walk the Talk and Talk the Walk: CEO Political Ideology and Firm Value
Full text linkMany studies focus on firms’ response to the demands of owner-stakeholders (Bundy, Vogel, & Zachary, 2018), with little attention to and no consensus on why firms differ in addressing the needs of non-owner stakeholders, such as employees, customers, and communities (Bundy et al., 2018). Interestingly, this is despite growing realization among the CEOs that firms should have other objectives besides shareholder value maximization (TIME, 2016). Early studies identify many factors driving corporate social responsibility (CSR) and employee welfare policies, including industry competitiveness (Lincoln & McBride, 1987), institutional factors (Fudge, 2017), and organizational perspectives (Maon, Lindgreen, & Swaen, 2010). More recent research also examines the role of executive characteristics (e.g., Bhaskar, Li, Bansal, & Kumar, 2023) based on the idea that “people, not firms, are the ones that make decisions” in organizations
(Arikan & Shenkar, 2022, p. 1488). Given the strategic importance of the CEO’s role, scholars have explored the importance of CEO characteristics, their interactions with a broad range of stakeholders, and their influence on corporate strategies (Hambrick & Mason, 1984; Wernicke, Sajko, & Boone, 2022; You, Srinivasan, Pauwels, & Joshi, 2020)
Spatiotemporal Landslide Monitoring in Complex Environments Using Radiative Transfer Model and SBAS-InSAR Technology
No full textLandslides are among the most frequent geological hazards, often resulting in casualties and economic losses, particularly in alpine valley areas characterized by complex topography and dense vegetation. Landslides in these regions are distinguished by their high altitude, concealment, and sudden onset, which render traditional monitoring methods inefficient. This study proposes a landslide monitoring method for complex environments that leverages multi-source remote sensing data, incorporating the radiative transfer model and Small Baseline Subset-Interferometric Synthetic Aperture Radar (SBAS-InSAR) technology. The proposed method was implemented to monitor the instability of the Baige landslide in Tibet, China. The results show that the vegetation Canopy Water Content (CWC) estimated using the radiative transfer model indirectly reflects landslide susceptibility. Specifically, excessive soil moisture from rainfall reduces oxygen in plant roots, affecting growth and lowering canopy water content. The region with lower Canopy Water Content (CWC < 0.04) exhibited an increasing trend in the number of pixels, rising from 271 to 549 before the landslide event, indicating poorer vegetation conditions in the area. Additionally, the SBAS-InSAR technique was utilized to extract surface displacement, achieving a maximum displacement of 112 mm during the monitoring period. Ultimately, the spatial changes of the two monitoring signals exhibited a high consistency. This study enhances the reliability of landslide displacement monitoring in complex environments and provides substantial scientific support for future large-scale monitoring efforts
Leading an age-diverse workforce: Evaluation of a leadership intervention based on the ‘3I’ model of inclusion
No full textThis report highlights insights into the Ascent Age-Inclusive Leadership Program that was developed, delivered and evaluated by the Centre of Excellence in Population Ageing Research (CEPAR) in conjunction with an industry partner
Leveraging machine learning for life cycle assessment and techno-economic analysis of power generation from microwave co-pyrolysis of kitchen waste and rice straw
No full textEvolutionary and anthropological perspectives on the sella turcica: from vertebrate origins to neurosurgical relevance.
Full text linkThe sella turcica, a saddle-shaped depression of the sphenoid bone, serves as a critical anatomical structure housing the pituitary gland and holds significant evolutionary, clinical, and anthropological importance. This review traces the evolutionary origins of the sella turcica from early vertebrates through mammalian and primate evolution, emphasizing its role in the stabilization and protection of neuroendocrine functions. Morphological stability of the sella turcica across hominin evolution highlights strong selective pressures on cranial base anatomy, despite broader craniofacial diversification. Anthropologically, the sella turcica provides a durable landmark for craniometric analyses, forensic reconstructions, and paleoanthropological investigations, revealing patterns of sex-based dimorphism, population variation, and disease prevalence. Developmental anomalies such as empty sella syndrome and pituitary hypoplasia illustrate the evolutionary trade-offs between increased encephalization and cranial vulnerability. Integrating historical, paleopathological, and clinical perspectives, this article underscores the sella turcica's significance as a nexus of evolutionary innovation, structural resilience, and biological fragility