Search Results (414)

This study explores the Bonaventurian synthesis of the human being as imago et similitudo Dei, highlighting its anthropological and existential implications. Against the backdrop of contemporary reductionist approaches that fragment the understanding of the human person, Bonaventure offers a holistic vision that integrates intellectual, affective, and volitional dimensions within a Christocentric and Trinitarian framework. Through a systematic analysis of Bonaventure’s primary texts—particularly the Itinerarium mentis in Deum and the Collationes in Hexaëmeron—and supported by critical scholarship, the article argues that human fulfillment transcends the limits of pure rationality and culminates in the unitive act of love with God. The study identifies two central principles of what Lázaro Pulido calls “Christian Socratism”: (1) human life as a journey to the Father’s house, and (2) the configuration of the soul, in wisdom and love, as a dwelling place of God. By situating the moral and spiritual life within the logic of divine attraction, Bonaventure overcomes both Aristotelian intellectualism and postmodern individualism. Ultimately, his thought presents happiness not as self-realization but as conformity with Christ crucified, revealing a path where suffering acquires meaning and the human vocation to love finds its ultimate horizon in the Trinity. Full article

Background/Objectives: The Rapid Access and Stabilization Program (RASP), launched in Nova Scotia in April 2023, aims to improve timely psychiatric care, reduce reliance on emergency services, and provide early intervention. This study describes the sociodemographic and clinical characteristics of the RASP participants and examines their association with acute service use. Methods: This cross-sectional descriptive study used self-reported surveys and administrative data from 738 RASP participants. Descriptive statistics summarized key sociodemographic and clinical variables. Associations between these characteristics and acute service use (emergency department visits, inpatient admissions, and mobile crisis calls) were examined using chi-square and Fisher’s Exact tests. Bonferroni correction was applied for multiple comparisons. Results: The sample was predominantly female (65.2%) and aged 20–40 years (38.4%). Despite high rates of severe anxiety (53.9%) and depression (36.0%), acute service use was low: emergency department visits (7.2%), mobile crisis calls (1.0%), and inpatient admissions (0.8%). Preliminary analyses showed that education level and housing status were associated with ED visits and inpatient admissions. However, these associations did not remain statistically significant after Bonferroni correction. Conclusions: Although mental health symptom severity was high, acute mental health service use remained low after RASP enrollment, indicating the program’s potential in reducing reliance on crisis services. No participant characteristics were significantly associated with acute service use after adjustment, underscoring the complexity of predicting utilization and the need for robust multivariable models. Continued investment in rapid access programs may be essential to improving timely mental health care and supporting early intervention strategies. Full article

In the environment, plastic waste degrades into small particles known as microplastics and nanoplastics (MNPLs), depending on their size. Given the potential harmful effects associated with MNPL exposure, it is crucial to develop environmentally representative particles for hazard assessment. These so-called true-to-life MNPLs are generated through in-house degradation of real-world plastic products. In this study, we produced titanium-doped nanoplastics (NPLs) from opaque polyethylene terephthalate (PET) milk bottles, which contain titanium dioxide as a filler. The resulting PET(Ti)-NPLs were thoroughly characterized using scanning electron microscopy (SEM), energy-dispersive X-ray spectroscopy (EDS), mass spectrometry (MS), dynamic light scattering (DLS), ζ-potential measurements, transmission electron microscopy (TEM), and Fourier-transform infrared (FTIR) spectroscopy. Human-derived THP-1 monocytes were employed to investigate particle uptake kinetics, dosimetry, and genotoxicity. A combination of flow cytometry and inductively coupled plasma mass spectrometry (ICP-MS) enabled the quantification of internalized particles, while the comet assay assessed DNA damage. The results revealed dose- and time-dependent effects of PET(Ti)-NPLs on THP-1 cells, particularly in terms of internalization. Titanium doping facilitated detection and influenced genotoxic outcomes. This study demonstrates the relevance of using environmentally representative nanoplastic models for evaluating human health risks and underscores the importance of further mechanistic research. Full article

This qualitative study examines how children living in a public housing neighborhood engage in multimodal, embodied meaning-making to restory their community. Focusing on two participants and in partnership with The Kids Club, this paper explores children’s spatial reclamation through embodied and spatialized literacies, complicating stories where children assert whose stories matter and why. Drawing on nexus analysis and narrative inquiry, this study conceptualizes the body as central to cognition and comprehension through texts in action. The sisters spatially reclaim neighborhood narratives via walking tours, heart maps, and photographs that function as multimodal action texts. These practices invite a rethinking of comprehension beyond traditional textual modes, illuminating how children navigate and transform literacy landscapes. This work contributes to conversations about equity in literacy environments and calls on educators and researchers to honor children’s multimodal literacy practices as vital forms of critical comprehension, storytelling, and belonging. Full article

Design studios generally concentrate on some critical concerns of urban life to overcome, and housing is one of those. Rapid development and advanced technology increase the need for and problems with housing. Such concerns should be addressed in theory, practice, and pedagogy. This study assesses the sophomores’ design output and their understanding of housing typologies based on real-world project sites to contribute to pedagogical aspects. Our study results show that students’ villa typologies generally focus on specific social groups with central themes, including health and recreation, while apartment complex designs converge on community life, urban identity, and tranquility. Based on the survey, students were part of it; they had difficulty with the scale and site-related grading problems, while most wished to work on the other typology theme. This study eventually calls attention to housing problems based on the design students’ perspectives on different residential typologies. Full article

The United Nations (UN) framework defines indicator 13.1.1 as the number of deaths, missing persons, and directly affected individuals due to disasters per 100,000 population. This indicator is associated with target 13.1, which calls for urgent actions against climate-related hazards and natural disasters in all countries. However, there is a lack of official data providers and well-established methodologies for assessing the resilience of populated areas to natural disasters. Earth observation (EO), geospatial technologies, and local data may support the estimation of this indicator and, as such, enhance the resilience of specific communities against hazards. Thus, the present study aims to enhance the capacity to monitor Sustainable Development Goals (SDGs) using the abovementioned technologies. In this context, a methodology that integrates ecoregion-specific model training and flood potential related geospatial datasets has been developed to estimate the number of houses affected by floods. This methodology relies on disaster-related databases, such as the UN’s DesInventar, and flood- and exposure-related data, including precipitation and soil moisture products combined with hydro-modelling based on digital elevation models, infrastructure datasets, and population products. By integrating these data sources, different machine learning regression models were trained and stratified by ecoregions to predict the number of affected houses and, as such, provide a more comprehensive understanding of community resilience to floods in the Sahel region. This effort is particularly crucial as the frequency and intensity of floods significantly increase in many areas due to climate change. Full article

Public safety personnel (PSP) are known to experience difficult and demanding occupational environments, which were further complicated by the COVID-19 crisis. While public safety research typically focuses on the impact of operational stressors on PSP functioning and wellbeing, relatively less is known about the types and impacts of organizational stressors and how all these affect social wellbeing during the pandemic. The current study surveyed Canadian firefighters (n = 123), paramedics (n = 246), and public safety communicators (n = 48) that continued to serve the public over the course of the pandemic. Participants responded to two open-ended survey questions about how COVID-19 affected their lives at work and home. Using an inductive thematic analysis approach, responses were coded to identify emergent, data-driven themes while drawing on existing theory for analysis. Across occupational groups, qualitative analyses revealed that the public safety measures imposed by the COVID-19 pandemic further exacerbated existing operational and organizational strains, including increased exposure to distressing calls, absenteeism and coping with alcohol, and a lack of support from management. Participants also identified financial strain and housing insecurity as stressors, as well as frustration and helplessness at others’ non-compliance with public health advisories and protocols. Communication surrounding the rationale behind government decision-making, the efficacy of serology tests, and rates of infection were also identified. Together, these findings offer a nuanced understanding of the interplay among operational, organizational, and social stressors experienced by Canadian PSP during the COVID-19 pandemic, illuminating their impact on mental health and wellbeing, and identifying targeted areas of focus for future planning and meaningful intervention to support PSP wellness. Full article

The capability approach, shaped by Amartya Sen and Martha Nussbaum, offers an innovative normative framework for social work with disadvantaged children and adolescents. Unlike purely resource- or income-oriented approaches, it asks what real opportunities young people have to lead the lives that they value. At its core is the question of how these young individuals can develop their talents, build relationships, and participate in community and culture. The potential of the capability approach becomes particularly evident in social problem contexts often characterized by poverty, educational disadvantages, or discrimination. It emphasizes the importance of freedoms, self-determination, and agency, viewing children not merely as in need of assistance but as active agents in shaping their own lives. For social work practice, this opens up new possibilities for designing interventions in a participatory manner, ensuring that children’s needs and values are taken into account. Instead of standardized solutions, individualized and context-sensitive strategies are promoted. This approach also calls for a multilateral perspective: beyond individual casework, societal and institutional structures must be addressed. Only by removing barriers in areas such as education, health, and housing can real opportunities be created. At the same time, the concept aligns well with children’s rights work, trauma-sensitive approaches, and interdisciplinary collaboration. Although operationalizing the approach is complex, a capability-oriented perspective allows for a comprehensive assessment of children’s living conditions. In this way, social work can increasingly focus on strengthening agency and recognizing young people as subjects of their own becoming. Full article

This article presents a novel methodology for auditing urban regulatory frameworks through the application of artificial intelligence (AI) using the case of Greater Santiago as an empirical laboratory. Based on the semantic analysis of 31 communal zoning ordinances (Planes Reguladores Comunales, PRCs), the study uncovers how legal structures actively reproduce socio-spatial inequalities under the guise of normative neutrality. The DeepSeek-R1 model, fine-tuned for Chilean legal-urban discourse, was used, enabling the detection of normative asymmetries, omissions, and structural fragmentation. Key findings indicate that affluent communes, such as Vitacura and Las Condes, display detailed and incentive-rich regulations, while peripheral municipalities lack provisions for social housing, participatory mechanisms, or climate resilience, thereby reinforcing exclusionary patterns. The analysis also introduces a scalable rubric-based evaluation system and GIS visualizations to synthetize regulatory disparities across the metropolitan area. Methodologically, the study shows how domain-adapted AI can extend regulatory scrutiny beyond manual limitations, while substantively contributing to debates on spatial justice, institutional fragmentation, and regulatory opacity in urban planning. The results call for binding mechanisms that align local zoning with metropolitan equity goals and highlight the potential of automated audits to inform reform agendas in the Global South. Full article

Since the early years of the 21st century, there has been a clear critique of the diotic way of farming in the international scientific arena, emphasizing that the existing models of economic development are exacerbating social inequalities and overexploiting natural resources. At the same time, the literature promotes the implementation of a new way of farming that takes into account environmental, social, and economic concerns. We have brought together new methods and ways of farming in these areas into one broad concept, called the conclusion of sustainable development. Within this concept, particular emphasis has been placed on sustainable energy development, the intensive development of technologies based on renewable energy sources, and the advancement of end-user awareness of modern technologies. The aim of this paper was to identify the factors that determine the ecological attitude of users of single-family houses in Poland when making strategic energy decisions related to the choice of heating devices in a household. To solve this research problem, the authors conducted a nationwide survey on a representative sample of single-family house users. In turn, the results were analyzed using log-linear analysis. The results showed that the determinants of the ecological nature of such energy decisions are primarily the age of the house users and their level of education. It was found that younger people are significantly more likely to think about ecology when making decisions related to how a building is heated than older people. In addition, people with a higher level of education are more likely to think about ecology when making such decisions than those with a lower level of education. Findings showed that the gender of the occupant of a single-family house, as well as the size of the town in which the building is located, have no significant impact on the ecological nature of decisions related to the choice of the method of obtaining energy for home heating. It was also shown that territorial variation, i.e., the region of the country, had no effect on this issue. The identification of socio-demographic determinants of the ecological nature of decisions related to the choice of heating devices in single-family houses in Poland fills the research gap and thus contributes to the literature in this area. Full article

Environmental control based on growth stage is critical for enhancing the yield and quality of industrially cultivated Pleurotus pulmonarius. Challenges such as scene complexity and overlapping mushroom clusters can impact the accuracy of growth stage detection and target segmentation. This study introduces a lightweight method called the real-time detection model for the growth stages of P. pulmonarius (GSP-RTMDet). A spatial pyramid pooling fast network with simple parameter-free attention (SPPF-SAM) was proposed, which enhances the backbone’s capability to extract key feature information. Additionally, it features an interactive attention mechanism between spatial and channel dimensions to build a cross-stage partial spatial group-wise enhance network (CSP-SGE), improving the feature fusion capability of the neck. The class-aware adaptive feature enhancement (CARAFE) upsampling module is utilized to enhance instance segmentation performance. This study innovatively fusions the improved methods, enhancing the feature representation and the accuracy of masks. By lightweight model design, it achieves real-time growth stage detection of P. pulmonarius and accurate instance segmentation, forming the foundation of an environmental control strategy. Model evaluations reveal that GSP-RTMDet-S achieves an optimal balance between accuracy and speed, with a bounding box mean average precision (bbox mAP) and a segmentation mAP (segm mAP) of 96.40% and 93.70% on the test set, marking improvements of 2.20% and 1.70% over the baseline. Moreover, it boosts inference speed to 39.58 images per second. This method enhances detection and segmentation outcomes in real-world environments of P. pulmonarius houses, offering a more accurate and efficient growth stage perception solution for environmental control. Full article

The study aims to identify key features in the built environment that are associated with heat-related health risks among older people in high-income countries, which could inform the development of targeted interventions to reduce built-environment-related heat risks for older populations in the context of climate change. We conducted a systematic review to identify features of the built environment associated with the health impacts of heat amongst people aged 65 or over, living in urban areas. Three databases, PubMed, Scopus, and Web of Science, were searched for the period from database inception until February 2025. The key built environment features associated with adverse health outcomes among older people included urban land surface vegetation, impervious ground surfaces, orientation of bedrooms, top floor locations of apartments, housing age, and the presence and use of air conditioning. The health indicators used in this study were heat-related mortality and morbidity represented by hospitalisations and ambulance call-outs. Built environment features were significantly associated with heat-related health risks among older people. Given the increasing high temperatures and more frequent and intense heatwaves in the context of climate change, there is an urgent need to develop targeted built environment adaptation plans for older people to strengthen their resilience to heat and reduce heat-related adverse health impacts. Full article

The digitization of uninterrupted operation in the distribution network is of great significance for improving people’s quality of life and promoting economic development. As an important means of achieving digitization, point cloud technology is crucial to the intelligent transformation of distribution network. To this end, the authors embedded the improved RSA (residual spatial attention) module and modified the loss function of network, proposing a deep learning network called RSA-PT for the semantic segmentation of a distribution network scene point cloud. According to the requirements of uninterrupted operation in the distribution network, the authors segmented the point cloud into the following ten classes: high-voltage line, low-voltage line, groundline, tower, ground, road, house, tree, obstacle, and car. Model and attention mechanism comparison experiments, as well as ablation studies, were conducted on the distribution network scene point cloud dataset. The experimental results showed that RSA-PT achieved mIoU (mean intersection over union), mA (mean accuracy), and OA (overall accuracy) indicators of 90.55%, 94.20%, and 97.20%, respectively. Furthermore, the mIoU of RSA-PT exceeded the baseline model by 6.63%. Our work could provide a technical foundation for the digital analysis of conditions for uninterrupted operation in distribution networks. Full article

Synthetic non-metallic nanoparticles (NMNPs) such as carbon nanotubes (CNTs), carbon nanodots (CNDs), and cell-penetrating peptides (CPPs) have been explored to treat harmful algal blooms. However, their strain-specific algicidal activities have been rarely investigated. Here we determined their acute toxicity to nine freshwater cyanobacterial strains belonging to seven genera, including Microcystis aeruginosa UTEX 2386, M. aeruginosa UTEX 2385, M. aeruginosa LE3, Anabaena cylindrica PCC 7122, Aphanizomenon sp. NZ, Planktothrix agardhii SB 1810, Synechocystis sp. PCC 6803, Lyngbya sp. CCAP 1446/10, and Microcoleus autumnale CAWBG635 ATX. We prepared in-house three batches of CNDs using glucose (CND-G) or chloroform and methanol (CND-C/M) as the substrate and one batch of single-walled CNTs (SWCNTs). We also ordered a commercially synthesized CPP called γ-Zein-CADY. The axenic laboratory culture of each cyanobacterial strain was exposed to an NMNP at two dosage levels (high and low, with high = 2 × low) for 48 h, followed by measurement of five endpoints. The endpoints were optical density (OD) at 680 nm (OD₆₈₀) for chlorophyll-a estimation, OD at 750 nm (OD₇₅₀) for cell density, instantaneous pigment fluorescence emission (FE) after being excited with 450 nm blue light (FE₄₅₀) for chlorophyll-a or 620 nm red light (FE₆₂₀) for phycocyanin, and quantum yield (QY) for photosynthesis efficiency of photosystem II. The results indicate that the acute toxicity was strain-, NMNP type-, dosage-, and endpoint-dependent. The two benthic strains Microcoleus autumnale and Lyngbya sp. were more resistant to NMNP treatment than the other seven free-floating strains. SWCNTs and fraction A14 of CND-G were more toxic than CND-G and CND-C/M. The CPP was the least toxic. The high dose generally caused more severe impairment than the low dose. OD₇₅₀ and OD₆₈₀ were more sensitive than FE₄₅₀ and FE₆₂₀. QY was the least sensitive endpoint. The strain dependence of toxicity suggested the potential application of these NMNPs as a target-specific tool for mitigating harmful cyanobacterial blooms. Full article

Valeria Luiselli’s Lost Children Archive (2019) captures the challenges that “lost”, or undocumented children experience in their attempts to cross the US-Mexico border and provides a stringent critique of the unjust and arbitrary nature of border laws. In this paper, I argue that Luiselli’s novel merges the narrative with the archival to form an “archival novel”, which generates what I call “archival narrative justice”, a form of achieving justice through an archival narrative when legal and institutional justice is absent or inadequate. In doing so, I demonstrate how the narrative form and the practice of archiving, both independently and collectively, are significant avenues for re-conceptualizing “justice” through generating counterhistories and making visible multiple marginalized perspectives. I connect Luiselli’s archival-narrative practice with how the borderlands house such counterhistories by building on Gloria Anzaldúa’s work on borderlands. I develop the concept of “borderland as archive” to understand how Lost Children Archive recognizes the interstitial space of the borderlands as coded with the knowledges, histories, memories, lived experiences, and resistance of border crossers and border dwellers, from undocumented immigrants to dispossessed Native Americans who have been illegalized by settler-colonial and capitalistic immigration laws. Full article