Search Results (900)

Food insecurity is not merely an outcome of individual deprivation but a place-based expression of how urban food systems operate within unequal socio-spatial contexts. Using the Drivers–Pressures–State–Impacts–Responses (DPSIR) framework as a policy-relevant analytical lens, this study examines the Metropolitan Region of Rome to show how structural inequalities and uneven food infrastructures shape exposure to food-related risks. The results show that vulnerability is amplified by food price inflation, the rising cost of a healthy diet, and spatial gaps in retail provision—captured through the combined presence of food deserts and food blackouts—disproportionately affecting peripheral municipalities. State indicators, including the Food Insecurity Experience Scale (FIES), the Food Affordability Index (FAI), and the spatial distribution of FEAD beneficiaries, reveal a markedly uneven geography of food poverty, mirroring a higher prevalence of overweight, obesity, and diabetes. These spatial configurations point to obesogenic environments in which constrained affordability and limited accessibility restrict the capacity to maintain healthy diets, generating hidden social and health costs that disproportionately burden peripheral areas. Overall, food insecurity in Rome follows a pronounced centre–periphery gradient rooted in structural and institutional arrangements rather than incidental variation. Addressing this condition requires place-based, justice-oriented interventions that strengthen food infrastructures, improve coordination across governance scales, and place food security at the core of an integrated metropolitan Food Policy. Full article

Subarachnoid hemorrhage (SAH) is a devastating form of stroke that disproportionately affects younger individuals and often results in long-term disability, even among those who achieve favorable outcomes on traditional clinical scales. This scoping review uses the PRISMA-ScR protocol to evaluate independent studies from 1980 to 2025 and synthesizes current evidence on sleep and cognitive dysfunction in SAH survivors, highlighting their prevalence, impact, and gaps in assessment and management. A total of 2243 publications were screened across three databases (PubMed, EMBASE, and Web of Science), which resulted in 115 studies analyzed for review. Sleep disturbances—including insomnia, hypersomnia, and sleep apnea—are common across all phases of recovery and are closely linked to fatigue, mood disorders, and impaired cognitive function. Cognitive deficits, particularly in memory, executive function, and attention, persist in most survivors and are significant barriers to return to work and reintegration. Despite their clinical relevance, these domains are underrepresented in SAH research and inadequately captured by standard outcome measures such as the modified Rankin Scale. Compared to moderate-to-severe traumatic brain injury (TBI), the SAH literature lacks standardized assessment tools, longitudinal data, and interventional studies. Neuroinflammation may underlie both sleep and cognitive sequelae, offering a potential therapeutic target. This review underscores the need for patient-centered outcome measures, integrated sleep and cognitive assessments, and targeted interventions to improve long-term brain health in SAH survivors. Full article

The automotive industry faces radical technological change, driven by the adoption of electrification, automation, and digitalization. As a leading industrial hub with key OEMs and suppliers, such as Volkswagen, Southeast Lower Saxony is disproportionately impacted by this structural transformation. As a consequence of these trends, the region’s automotive base faces economic uncertainties, local regulatory lag, and technological disruptions. In this study a scenario planning methodology is conducted, to identify three potential mobility futures for 2035: a Best-Case scenario, where innovation and favorable policies enable a stable growth environment for the local automotive industry; a Trend scenario, marked by incremental yet uneven progress, while maintaining the current status quo; and a Worst-Case scenario, defined by economic stagnation and regulatory impediments, leading to a slow degradation of the regional automotive industry. The scenarios are then evaluated based upon their impact and probability of occurrence, while individual impact factors were also prepared and categorized to support future decision-making on a topical basis. This study offers an overview of potential scenarios for the Southeast Lower Saxon automotive industry, supporting the strategic decision-making. Full article

This study addresses the challenge of identifying heavy Building Information Modeling (BIM) library components that disproportionately degrade model performance. While BIM has become standard in the construction industry, heavy components characterized by excessive geometric complexity, numerous instances, or inefficient optimization—cause extended file loading times, interface lag, and coordination difficulties, particularly in large cross-industry projects. Current identification methods rely primarily on designer experience and manual inspection, lacking systematic evaluation frameworks. This research develops a multi-criteria evaluation method based on Multi-Criteria Decision Analysis (MCDA) that quantifies component performance impact through five weighted criteria: instance count (20%), geometry complexity (30%), face count (20%), edge count (10%), and estimated file size (20%). These metrics are aggregated into a composite Weight Score, with components exceeding a threshold of 200 classified as requiring optimization attention. The method was implemented as HeavyFamilies, a pyRevit plugin for Autodesk Revit featuring a graphical interface with tabular results, CSV export functionality, and direct model visualization. Validation on three real BIM projects of varying scales (133–680 families) demonstrated effective identification of heavy components within 8–165 s of analysis time. User validation with six BIM specialists achieved 100% task completion rate, with automatic color coding and direct model highlighting particularly valued. The proposed approach enables a shift from reactive troubleshooting to proactive quality control, supporting routine diagnostics and objective prioritization of optimization efforts in federated and multi-disciplinary construction projects. Full article

The COVID-19 pandemic has underscored and intensified existing structural inequalities, particularly in urban centers of the Global South. This paper revisits the Sustainable Livelihoods Framework (SLF), originally designed for rural contexts, proposing its adaptation to centralize mobility as a critical analytical axis in urban contexts. Through an examination of São Paulo, Brazil, we explore how mobility restrictions, access to natural capital, and health outcomes intersected during the pandemic, disproportionately affecting vulnerable populations. To explore the application of the adapted framework, we analyze two contrasting neighborhoods in São Paulo, highlighting how different urban contexts mediate the impacts of systemic crises. By integrating mobility into the SLF, we aim to provide a more nuanced tool for analyzing and addressing urban vulnerabilities in times of systemic crises. Full article

Background: Millions of people have died from AIDS-related illnesses since the start of the epidemic. The objective of this study is to determine the relationship between life years lost and demographic factors in the subset of individuals in Puerto Rico with advanced HIV disease, i.e., who received a diagnosis of AIDS, and to evaluate trends in poverty, age, and number of diagnoses and deaths over this timeframe. Methods: We identified 3624 individuals diagnosed with AIDS who received services under the Eligible Metropolitan Area (EMA) of San Juan, Puerto Rico, between 2000–2020, and correlated demographic factors with AIDS descriptive statistics using a retrospective cohort study design. We used socioeconomic characteristics to describe the population, estimated the life years lost (LYL) compared with the life expectancy of the general population of Puerto Rico at a given age as the null model, and evaluated the relationship of demographic variables with LYL, as well as trends in poverty and age/number of deaths/diagnoses over time. Results: More life years are lost with earlier AIDS onset, and there is also an association between LYL and the level of poverty, documented mode of transmission, and insurance status. LYL were higher among AIDS patients with lower income, with perinatal transmission, and among those without insurance in the age bracket of 40–49 years. No relationship between LYL and gender was detected. Moreover, over the years included in the timeframe of this study, certain trends emerged: we observed a greater proportion of AIDS to HIV diagnoses over time; HIV/AIDS diagnoses and deaths occurred on average at a higher age; the number of diagnoses per year initially rose over time and then declined; and the number of deaths per year as well as the poverty level in those diagnosed with HIV/AIDS increased over time. Conclusions: This study demonstrates the continued recent impact of the HIV epidemic specifically on those with advanced disease (AIDS), and further reaffirms the importance of treatment and prevention as well as demographic and social determinants of health, including age, poverty level, insurance status, and lifestyle, highlighting the disproportionate burden of HIV/AIDS among those with greater levels of poverty. Full article

Background/Objectives: The COVID-19 pandemic disproportionately impacted rural areas across the United States, including rural North Carolina (NC). Consistent with national patterns, COVID-19 vaccination coverage as of December 2022 was higher for non-rural (72%) than rural (58%) NC counties. The role of trusted sources of vaccine information used by rural and non-rural residents is unknown. Methods: Using data from two surveys distributed by the COVID-19 Community Research Partnership from 8 June 2021 through 21 December 2021, we compared self-reported sources of trusted COVID-19 vaccine information by non-rural and rural counties and by county-level predominant political vote in the 2020 Presidential election. Results: While NC respondents were highly vaccinated (94%), fewer residents from rural counties self-reported COVID-19 vaccination than those from non-rural counties (91% versus 95%). The most common reported source of trusted vaccine information was federal health agencies. The proportion citing a federal health agency was higher for respondents from non-rural (80%) than rural (72%) counties and was higher for vaccinated (75%) than unvaccinated (42%) rural respondents. The next two most trusted sources of vaccine information were state/local health officials (48%) and health care providers (42%). Among trusted resources reported by 10–15% of respondents, those from rural counties were less likely to use hospital websites, employers, or news sources than those from non-rural counties. More respondents from counties with >60% vote for the 2020 Democratic Presidential candidate cited federal health agencies, state and local officials, and new sources than respondents from counties with >60% vote for the 2020 Republican Presidential candidate. Conclusions: By identifying the trusted sources of vaccine information for residents in non-rural and rural NC counties, future vaccine implementation efforts can tailor communication efforts to increase vaccine uptake and potentially reduce the rates of hospitalizations and death from vaccine-preventable diseases such as COVID-19 or other future pandemics. Full article

Evidence on the environmental and socio-economic harms linked to plastic pollution has prompted major governance responses, including the 2019 Basel Convention amendments on plastic waste and the start of negotiations on a global plastics treaty in 2022. In parallel, many jurisdictions have introduced minimum recycled-content requirements to curb virgin-material demand and strengthen circularity in plastics. Yet trade statistics show that plastic scrap is only a small fraction of cross-border flows of secondary (recyclable) materials. Policy debates are also increasingly focused on non-plastic alternatives for packaging and other uses, but these substitutes can carry substantial upstream and downstream burdens that may match or exceed plastics depending on production pathways and end-of-life management. This article contrasts global trade patterns for secondary plastics, textiles, paper, and ferrous metals, and highlights how governance frameworks have centered disproportionately on plastics. We argue that the momentum from plastic-waste controls and recycled-content mandates should be used to build more systemic policies that also cover other material streams; otherwise, interventions may simply displace impacts to substitute materials and weaken circular-economy objectives. Full article

The adoption of green pest control technologies (GPCTs) has emerged as a critical factor in the pursuit of sustainable agricultural practices, particularly in improving farm efficiency and mitigating environmental impacts. This study investigates the effect of GPCT adoption on the technical efficiency of apple farmers in Shandong Province, China, using survey data collected in 2022. Applying advanced econometric techniques, including stochastic frontier analysis (SFA) to measure technical efficiency and endogenous switching regression model (ESR) to address endogeneity and selection bias, the findings indicate that GPCT adoption significantly enhances farmers’ technical efficiency. Specifically, under the counterfactual scenario of adoption, non-adopters’ technical efficiency would increase by 18.2% (from 0.669 to 0.851), whereas adopters would experience a 3.9% efficiency gain attributable to adoption (from the counterfactual 0.700 to the observed 0.739). The analysis further reveals that lower-income farmers benefit disproportionately from GPCT adoption, suggesting that the technology offers greater potential to enhance the productivity of resource-constrained farmers. These results underscore the importance of targeted policy interventions, such as subsidies and agricultural extension programs, to foster the widespread adoption of GPCTs, particularly among lower-income groups. This study contributes to the literature by providing empirical evidence of the dual benefits of GPCT adoption: improving farm efficiency while promoting environmental sustainability, with important implications for policy formulation in developing economies. Full article

The widespread adoption of Electric Vehicles (EVs) is critically dependent on the deployment of efficient charging infrastructure. However, existing facility location models typically treat charging duration as an exogenous parameter, thereby neglecting the traveler’s autonomy to make trade-offs between service time and energy needs based on their Value of Time (VoT). This study addresses this theoretical gap by developing a heterogeneous network design model that endogenizes both charging mode selection and continuous charging duration decisions. A bi-objective optimization framework is formulated to minimize the weighted sum of infrastructure capital expenditure and users’ generalized travel costs. To ensure computational tractability for large-scale networks, an exact linearization technique is applied to reformulate the resulting Mixed-Integer Non-Linear Program (MINLP) into a Mixed-Integer Linear Program (MILP). Application of the model to the Hubei Province highway network reveals a convex Pareto frontier between investment and service quality, providing quantifiable guidance for budget allocation. Empirical results demonstrate that the marginal return on infrastructure investment diminishes rapidly. Specifically, a marginal budget increase from the minimum baseline yields disproportionately large reductions in system-wide dwell time, whereas capital allocation beyond a saturation point yields diminishing returns, offering negligible service gains. Furthermore, sensitivity analysis indicates an asymmetry in technological impact: while extended EV battery ranges significantly reduce user dwell times, they do not proportionally lower the capital required for the foundational infrastructure backbone. These findings suggest that robust infrastructure planning must be decoupled from anticipations of future battery breakthroughs and instead focus on optimizing facility heterogeneity to match evolving traffic flow densities. Full article

This paper presents a scalable and low-cost Retrieval Augmented Generation (RAG) architecture designed to enhance learning in university-level courses, with a particular focus on supporting students from economically disadvantaged backgrounds. Recent advances in large language models (LLMs) have demonstrated considerable potential in educational contexts; however, their adoption is often limited by computational costs and the need for stable broadband access, issues that disproportionately affect low-income learners. To address this challenge, we propose a lightweight, mobile, and friendly RAG system that integrates the LLaMA language model with the Milvus vector database, enabling efficient on device retrieval and context-grounded generation using only modest hardware resources. The system was implemented in a university-level Data Mining course and evaluated over four semesters using a quasi-experimental design with randomized assignment to experimental and control groups. Students in the experimental group had voluntary access to the RAG assistant, while the control group followed the same instructional schedule without exposure to the tool. The results show statistically significant improvements in academic performance for the experimental group, with p < 0.01 in the first semester and p < 0.001 in the subsequent three semesters. Effect sizes, measured using Hedges g to account for small cohort sizes, increased from 0.56 (moderate) to 1.52 (extremely large), demonstrating a clear and growing pedagogical impact over time. Qualitative feedback further indicates increased learner autonomy, confidence, and engagement. These findings highlight the potential of mobile RAG architectures to deliver equitable, high-quality AI support to students regardless of socioeconomic status. The proposed solution offers a practical engineering pathway for institutions seeking inclusive, scalable, and resource-efficient approaches to AI-enhanced education. Full article

In soils, it is key to not simply determine the behavior of the major elements but also understand the fate of trace and ultra-trace elements that can often have disproportionate effects on these complex systems. Soils, including agricultural soils, constitute a reservoir of nanoparticles and natural colloids of multiple origins. Nonetheless, only limited information is available on the concentrations and fate of nanoparticles in soils, due largely to the difficulty of distinguishing anthropogenically generated particles from the complex soil matrices in which they are found. Bulk measurements are often unable to quantify the key contributions of trace pollutants (i.e., needle in a haystack); however, single particle techniques have recently become available for studying complex agricultural systems, including soils. For example, the characterization of engineered nanoparticles or incidentally generated particulate pollutants within a natural soil or sediment is now possible using techniques such as single particle inductively coupled plasma mass spectrometry (SP-ICP-MS). Nonetheless, in order to exploit the single particle techniques, it is first necessary to representatively sample the soils. The approach presented here has been designed to help better understand the impact of incidental and engineered nanoparticles on agricultural soils. In this study, we examine two approaches for extracting colloidal particles (CP) from soils in order to facilitate their characterization by single particle inductively coupled plasma mass spectrometry using a sector field- (SP-ICP-SF-MS) and time-of-flight- (SP-ICP-ToF-MS) based instruments. A novel sampling methodology consisting of an ultrasound-assisted continuous-flow extraction (USCFE) was developed and compared to a commonly used batch extraction procedure. Metal containing colloidal particles (M–CP) were quantified and characterized following their extraction in ultrapure water and tetrasodium pyrophosphate (TSPP). At least five successive extraction cycles of 18 h each were required to optimally extract Si–CP (ca. 6 × 10¹⁵ kg⁻¹) using the batch extraction approach, whereas similarly high numbers of CP could be extracted by USCFE in about 3 h. The combined use of continuous flow, ultrasound and TSPP improved the sampling of colloidal particles and nanoparticles from an agricultural soil. Due to its higher sensitivity, SP-ICP-SF-MS was used to measure the smallest detectable M–CP in the soil extracts. SP-ICP-ToF-MS was used to determine the multi-elemental composition of the extracted colloidal particles. Full article

Low back pain (LBP) represents a major societal and economic burden, with annual costs in the United States estimated at $90–134.5 billion. LBP disproportionately impacts postmenopausal women relative to age-matched men, suggesting a role for sex-specific biological factors. Although the mechanisms underlying this disparity are not fully understood, hormonal imbalance during menopause may contribute to LBP pathophysiology. This narrative review aimed to elucidate the impact of menopause on LBP, with emphasis on hormonal effects on spinal tissues and systemic processes. A literature search was conducted, followed by screening of titles, abstracts, and full texts of original clinical studies, preclinical research using human or animal samples, and relevant reviews. Rigour and reproducibility were evaluated using the ARRIVE Guidelines and the Modified Downs & Black Checklist. Evidence indicates that menopause is associated with changes in intervertebral discs, facet joint, ligamentum flavum, skeletal muscle, sympathetic innervation, and systemic systems such as the gut microbiome. However, most findings are correlational rather than causal. Evidence supporting hormone replacement therapy for LBP remains inconclusive, whereas exercise and other treatments, including parathyroid hormones, show more consistent benefits. Future studies should focus on causal mechanisms and adhere to rigour guidelines to improve translational potential. Full article

Background/Objectives: Community violence remains a pervasive public health challenge that disproportionately affects Black youth, with lasting impacts on physical and mental health. Traditional models often conceptualize resilience as individual “bounce back” capacity, overlooking how adaptation unfolds amid chronic violence and structural inequity. This study examined how Black youth and trauma clinicians understand, navigate, and redefine resilience within contexts of ongoing community violence exposure. Methods: Using a phenomenological qualitative design, the study drew on semi-structured interviews and focus groups with Black youth and clinicians participating in a community violence trauma recovery program in Chicago, Illinois. Data were analyzed thematically to identify patterns in how resilience was described, practiced, and supported. Results: Black youth redefined resilience through adaptive survival strategies—such as hypervigilance, avoidance, and emotional regulation—that functioned as protective responses to continuous threat. Clinicians recognized resilience as relational and context-dependent but reported limited training to address trauma rooted in chronic, community-level conditions. Both groups highlighted the role of collective and structural supports, including family, peers, and community networks, in sustaining adaptation. Conclusions: Findings highlight the need to expand trauma-informed care beyond individual treatment to address structural conditions that perpetuate community violence. Integrating ecological and culturally grounded models of resilience into clinical training and community programming can improve support for Black youth navigating chronic exposure to violence. Full article