Search Results (205)

Background/Objectives: Pediatric asthma remains a pressing public health issue, especially among low-income, minority children living in subsidized housing. Methods: This study employed a community-based participatory research approach to explore barriers and potential solutions for improving asthma management in this vulnerable population. Semi-structured interviews were conducted with 22 caregivers of children with asthma and 8 community health workers in Washington, DC—a city marked by high childhood asthma rates and concentrated subsidized housing. Results: Thematic analysis identified six core findings: (1) families frequently encountered multiple home environmental asthma triggers, including pests, mold, secondhand smoke, leaks, poor ventilation, and aging infrastructure; (2) healthy housing services were under implemented, often due to unresponsive landlords, inadequate inspections, and poor maintenance; (3) existing services such as pest control, mold remediation, and smoke-free policies were ineffectively implemented; (4) challenges to service delivery included difficulties faced by landlords and structural barriers tied to geography, race, and socioeconomic status; (5) substandard housing conditions contributed to residents’ feelings of powerlessness, frustration, and distrust, with some taking legal action to address persistent hazards; and (6) participants recommended stronger housing code enforcement, sustained funding for home-based environmental interventions, housing-health liaisons, strengthened landlord accountability, support for landlords to facilitate repairs, centering families’ voices, and advocacy. Conclusions: This study underscores the persistent challenges caregivers face in managing asthma triggers in subsidized housing. The findings highlight the critical need for improved housing conditions, greater landlord and housing authority accountability, and policy reforms to ensure consistent, equitable, and sustainable healthy housing services that reduce pediatric asthma disparities. Full article

Background/Objectives: Uveal melanoma is a rare but aggressive intraocular malignancy that metastasizes in up to half of patients, most commonly to the liver, despite effective local treatment. In the absence of robust evidence, there are no standardized guidelines for post-treatment surveillance, resulting in wide variation in imaging modalities, frequency, and duration across physicians and institutions. This study aimed to develop expert consensus recommendations for surveillance strategies in patients with uveal melanoma. Methods: A modified Delphi method was conducted across three iterative survey rounds between September 2024 and February 2025 using an online platform. Panelists included medical oncologists, ocular oncologists, radiologists, and surgical oncologists from North America. A multidisciplinary steering committee developed statements addressing risk-based surveillance using both molecular and clinical prognostic factors, including gene expression profiling (GEP) and PRAME status. Consensus was defined a priori as ≥70% of panelists rating a statement 7–9 on a 9-point Likert scale. Results: Forty-nine experts were invited, and 41 completed at least one survey round. The panel represented 17 U.S. states, Washington, D.C., and two Canadian provinces. Twelve statements reached stable consensus, including recommendations for imaging modality, frequency, and duration in intermediate- and high-risk patients. Although there was agreement that low-risk patients warrant surveillance, no consensus was reached on the optimal approach for this group. Conclusions: This is the first study to provide consensus-based guidance incorporating GEP and PRAME status into surveillance recommendations for uveal melanoma, offering a standardized framework to guide clinical practice and future research. Full article

This study examines LEED certification strategies for Existing Buildings 4.1 (LEED-EB v4.1)-certified office projects in major US cities and their relationship with local green building policies. LEED-EB v4.1 is the latest program with an appropriate sample size to conduct significance tests and draw robust statistical inferences. LEED-EB v4.1 features six performance indicators: “transportation”, “water”, “energy”, “waste”, “indoor environmental quality (IEQ)”, and “overall LEED”. The purpose of this study was to evaluate LEED-EB v4.1 gold-certified office projects in San Francisco (SF), New York City (NYC), and Washington, D.C. (DC). Exact Wilcoxon–Mann–Whitney and Cliff’s δ tests were used to compare the same LEED variables between two cities. Pearson’s or Spearman’s correlation tests were used to assess the strength/direction between two LEED variables, and a simple linear regression (SLR) model was applied to predict the overall LEED variable. It was found that SF outperforms NYC in “IEQ” (δ = 0.53 and p = 0.009) and outperforms both NYC and DC in “overall LEED” (δ = 0.66 and p = 0.001; δ = 0.59 and p = 0.001). “Energy” and “waste” were positively and significantly correlated with “overall LEED” in NYC (r = 0.61 and p = 0.001; r = 0.40 and p = 0.044, respectively) and DC (r = 0.83 and p < 0.001; r = 0.65 and p = 0.009, respectively). The SLR results showed that one-point increases in “energy” and “waste” scores resulted in an increase in NYC’s overall LEED scores by approximately 0.78 and 1.72 points, respectively, and one-point increases in “energy” and “waste” scores resulted in an increase in DC’s overall LEED score by approximately 0.96 and 1.97 points, respectively. It is hypothesized that the difference in the “IEQ” of LEED-EB-certified office buildings between SF and NYC may be due to differences in these cities’ green building policies. According to the “overall LEED” indicator, office buildings in SF are more sustainable than those in NYC and DC. “Energy” and “waste” showed a stronger positive relationship with “overall LEED” in NYC and DC than the other indicators. However, the correlation analysis for SF presented in the Limitations Section is speculative due to the small sample size (n = 11). Full article

Open Government Data (OGD) portals have the potential to be powerful tools for advancing progress toward the United Nations (UN) Sustainable Development Goals (SDGs). In this paper, we examine the extent to which U.S. municipal open data portals support SDG 11 (Sustainable Cities and Communities) and a more complete set of sustainable city indicators, which we call SDG 11+. We focus on the 19 U.S. cities ranked in the 2024 Sustainable Cities Index. Amazingly, none of the cities had data that directly addressed SDG 11 indicators, showing a pressing need to link U.S. OGD portals with the SDGs. In terms of SDG 11 target areas, data were most available for transportation (31% of datasets) and green and public spaces (25% of datasets), though these databases often lacked demographic and equity details. Cities ranking highly on sustainability (New York, San Francisco, and Washington, D.C.) had far more such datasets available than low-ranked cities (Atlanta, Tampa, and Pittsburgh). We propose an expanded list of urban sustainability indicators (some within other SDGs) and recommend that cities emphasize coordination with the SDGs, usability, breadth of content, links with policy, timely updating, and greater disaggregation of data when managing OGD portals. Full article

This article investigates how Web3 decentralization unfolds in practice and asks two guiding questions: (i) How democratic are decentralized governance systems in practice? (ii) Under what institutional conditions can technological decentralization translate into social inclusion? Based on multi-year ethnographic fieldwork (2022–2025) across Silicon Valley, Washington, D.C., Europe, and the Global South, this study draws on participant observation, semi-structured interviews, and comparative analysis of seven ecosystems—Ethereum, MakerDAO, Uniswap, Mastodon, Celo, Grassroots Economics, and GoodDollar. The findings show that participation asymmetries are structural: token-based governance is dominated by a small group of technically skilled or capital-rich actors, while voter turnout often remains below ten percent. Intermediaries such as foundations, developers, NGOs, and cooperatives are indispensable for coordination, contradicting the idea of hierarchy-free decentralization. In contrast, projects that institutionalize clear membership, monitoring, and accountability—particularly in cooperative and federated settings—display stronger democratic resilience. Comparative evidence also reveals oligarchic consolidation in Global North ecosystems and infrastructural exclusion in the Global South. These results substantiate what Richard R. Nelson termed “the Moon and the Ghetto” paradox: extraordinary technical innovation without corresponding social progress. Interpreted through innovation systems theory, the study concludes that advancing decentralized technologies requires parallel investment in mission-oriented institutions that ensure participation, equity, and accountability in digital infrastructures. Full article

Buildings account for approximately one-third of global energy usage and associated carbon emissions, making energy benchmarking a crucial tool for advancing decarbonization. Current benchmarking studies have often been limited to mainly the annual scale, relied heavily on simulation-based approaches, or employed regression methods that fail to capture the complexity of diverse building stock. These limitations hinder the interpretability, generalizability, and actionable value of existing models. This study introduces a hybrid AI framework for building energy benchmarking across two time scales—annual and monthly. The framework integrates supervised learning models, including white- and gray-box models, to predict annual and monthly energy consumption, combined with unsupervised learning through neural network-based Self-Organizing Maps (SOM), to classify heterogeneous building stocks. The supervised models provide interpretable and accurate predictions at both aggregated annual and fine-grained monthly levels. The model is trained using a six-year dataset from Washington, D.C., incorporating multiple building attributes and high-resolution weather data. Additionally, the generalizability and robustness have been validated via the real-world dataset from a different climate zone in Pittsburgh, PA. Followed by unsupervised learning models, the SOM clustering preserves topological relationships in high-dimensional data, enabling more nuanced classification compared to centroid-based methods. Results demonstrate that the hybrid approach significantly improves predictive accuracy compared to conventional regression methods, with the proposed model achieving over 80% $R^2$ at the annual scale and robust performance across seasonal monthly predictions. White-box sensitivity highlights that building type and energy use patterns are the most influential variables, while the gray-box analysis using SHAP values further reveals that Energy Star^® rating, Natural Gas (%), and Electricity Use (%) are the three most influential predictors, contributing mean SHAP values of 8.69, 8.46, and 6.47, respectively. SOM results reveal that categorized buildings within the same cluster often share similar energy-use patterns—underscoring the value of data-driven classification. The proposed hybrid framework provides policymakers, building managers, and designers with a scalable, transparent, and transferable tool for identifying energy-saving opportunities, prioritizing retrofit strategies, and accelerating progress toward net-zero carbon buildings. Full article

Between 1900 and 1940, African American participants in transatlantic public exhibitions reclaimed a medium that often oppressed non-White bodies: the diorama. This essay traces a transatlantic conversation among African American artists about how to render Black history in diorama form, leveraging the miniature format to make political arguments. In diorama series which circulated on both sides of the Atlantic, such as those designed by Thomas W. Hunster for the Exhibit of American Negroes in the Paris Universal Exposition in 1900 and the Pan-American Exposition in 1901, Meta Vaux Warrick Fuller for the Jamestown Ter-Centennial Exposition in 1907, and Charles C. Dawson for the American Negro Exposition in Chicago in 1940, African American makers selectively used architectural models to signify histories of oppression and liberation as they told transatlantic stories about Black migration and enslavement. This essay argues that this set of dioramas is entwined, growing from 9 to 14 to 33, and that Hunster, Fuller, and Dawson all rendered archetypal buildings, such as slave cabins or plantation homes, to designate the wide and encompassing scope of oppression, while they reference singular buildings associated with public institutions from government to universities—the M Street School in Washington DC, Carnegie Library at Howard University, Mother Bethel AME Church in Philadelphia, the Old Massachusetts State House, and the White House—to signify and emplace spaces of Black liberation. Building on research on the layered functions of miniatures and drawing on burgeoning scholarship on entwinements between race and architecture, the article speculates on how architecture style signifies through the models to reinforce what James C. Scott has parsed as dominant narratives and hidden transcripts. Seeking to build Black futurity, all three series facilitated community participation and collaboration to produce an intersocial construction of transatlantic African American history built through mobile models of architecture. Full article

This pilot study explored the feasibility and acceptability of utilizing silicone wristbands to assess exposure to endocrine-disrupting chemicals (EDCs) among 25 Black and Hispanic breast cancer survivors recruited in Washington, DC, and Hackensack, NJ. Over half of participants (58%) were diagnosed with Stage I breast cancer and the mean age was 58 ± 9 years. Most of the 24 survey respondents (95.83%) reported that the wristband did not interfere with daily activities and few (4) removed the wristband during the 7-day data collection period, demonstrating feasibility of use. Acceptability of passive sampling via silicone wristband was high with 73.91% of survivors reporting being “very satisfied” and 21.74% reporting being “satisfied” with their experience. The wristbands were analyzed via gas chromatography mass spectrometry for approximately 1500 semi-volatile organic compounds. This untargeted approach detected sixty distinct chemicals with an average of 21.8 per wristband. Personal care product, flame retardant, commercial product, and pesticide chemical classifications were detected in every wristband and frequently detected chemicals included biologically active compounds with potential genotoxic or endocrine-disrupting effects. This study demonstrates the feasibility of use and technical feasibility, as well as the acceptability, of utilizing silicone wristbands to assess exposure to semi-volatile organic compounds, including EDCs, among Black and Hispanic breast cancer survivors and lays the foundation towards engaging diverse cancer survivors in environmental health research. Full article

With an undergraduate degree in sociology from Morgan State University (Baltimore, MD) and a master’s degree in Library Science from the Catholic University of America (Washington, DC), Sharon Bell Mathis is a librarian and a multiple award-winning children’s and young adult book author [...] Full article

This study advances Spanish Heritage Language (SHL) pedagogy by investigating the integration of Critically Oriented Sociolinguistic Topics (COST) in the heritage language curriculum. Thirteen self-identified SHL students from three courses (Intermediate, Advanced I, and Advanced II) at two universities in the Washington, D.C. metro area participated in semi-structured Zoom interviews exploring their motivations for enrolling in an SHL class, their perceptions of Spanish, and the impact of COST. Analysis identified recurring themes about underlying language ideologies and enrollment motivations, such as improving academic Spanish and grammar, career preparation, and connecting with course topics. Dominant ideologies, including essentialist, standard language, deficit, and commodification, were evident in students’ perceptions of Spanish and Latinx communities in the U.S. and abroad. Findings showed that students developed critical awareness of language variation that supported validation of their HL practices and the emergence of student agency. Some students moved from reproducing to contesting deficit and standard ideologies, asserting legitimacy for their own bilingual repertoires. These findings underscore the need for integrating COST in SHL courses to promote student agency, foster positive attitudes, and strengthen students’ linguistic confidence. Full article

The first monographic exhibition dedicated to Vittore Carpaccio (ca. 1460–1525) in the US, and the first outside of Italy, was hosted at the National Gallery of Art in Washington, DC, from 20 Nov 2022 to 23 February 2023 (from where it went to Venice). Building on the research of art historians and experts on Venice and the larger Mediterranean region in the early modern period, this paper examines Carpaccio’s depiction of various “Turks” in some of the large narrative painting cycles (teleri) commissioned by the devotional confraternities (scuole) in Renaissance Venice. While Carpaccio’s and the larger Venetian familiarity with Islam, including Turks, has been studied, this paper compares various female figures in the St. Stephen cycle with those in his St. George cycle, situating them in the larger historical context of the commissioning scuole (Scuola di Santo Stefano and Scuola di San Giorgio degli Schiavoni, respectively). While attempting to uncover the significance, if not the identities, of a few individuals who stand out from the crowd, this paper urges caution when attempting to discern social history from a painting, much as we take literary texts (particularly those written well before our own times) with a grain of salt. Full article

This study investigates shopping behaviors for essential services among Black middle-class homeowners in Ward 8, Washington, D.C., a historically underinvested neighborhood experiencing a rise in Black homeownership. The research examines how these residents manage limited local retail options, address safety concerns, and evaluate quality perceptions when choosing where to shop. Using survey data from 58 homeowners, we categorized shopping patterns into Inside-only, Mixed, and Outside-only. Exploratory factor analysis identified three main motivational factors: Service & Quality, Access & Convenience, and Economic. Multinomial logistic regression showed that higher scores on the Access & Convenience factor significantly increased the likelihood of Outside-only shopping (OR = 1.67, p = 0.02), while residential tenure showed a non-significant trend toward predicting Mixed shopping. To explain these findings, we introduce the concept of the “Small Spatial World^TM,” an adaptation of Chatman’s Small World theory, to describe how routine spatial behaviors, not social networks, shape resource gathering in limited urban settings. These behaviors reflect the ongoing impact of racial capitalism and spatial disinvestment, which limit consumer choice even among middle-class residents. This research advances urban studies by uniquely examining the consumption patterns of Black middle-class homeowners in a racially homogenous yet structurally disinvested community, linking race, space, and class in daily consumption, and advocating for targeted retail investments to foster equitable, community-focused development. Full article

This study examines how educational attainment and creative-class identity influence public library use among Black homeowners in Ward 8, Washington, D.C., a historically disinvested, yet resilient, Black community. Using an adapted theoretical framework (Chatman’s Small World Theory, Florida’s creative class theory, and Crenshaw’s intersectionality), the research investigates how symbolic capital informs institutional engagement in a racially homogeneous but economically stratified setting. A survey of 56 Black homeowners examined the relationships among education, income, creative-class identity, and library use. Logistic regression analysis revealed that higher educational attainment was a significant predictor of identification with the Black Creative Class^TM. However, neither income nor creative-class identity significantly predicted public library use. These findings challenge the assumption that middle-class status or creative-class affiliation ensures participation in educational or cultural institutions. Instead, they suggest that deeper dynamics, such as cultural relevance, perceived alignment, and trust, may shape engagement with public libraries. The study advances knowledge in library and information science (LIS) and urban studies by demonstrating how spatial context and class distinctions within Black communities shape library engagement. The results underscore the need for culturally responsive library strategies that recognize class-based variation within racial groups, moving beyond monolithic models of community outreach. Full article

As organizations continue to embrace digital transformation, the need for robust cybersecurity strategies has never been more critical. This paper explores the Zero Trust Architecture (ZTA) as a contemporary cybersecurity framework that addresses the challenges posed by increasingly interconnected systems. Zero Trust (ZT) operates under the principle of “never trust, always verify,” ensuring that every access request is thoroughly authenticated, regardless of the requester’s location within or outside the network. However, implementing ZT is a challenging task, requiring an adequate roadmap to prioritize the different initiatives in agreement with company culture, exposure and cyber posture. We apply multi-criteria decision analysis (MCDA) to evaluate the relative importance of various components within a ZT framework, using the Incomplete Analytic Hierarchy Process (IAHP). Expert opinions from professionals in cybersecurity and IT governance were gathered through structured questionnaires, leading to a prioritized ranking of the eight key ZT pillars, as defined by the Cybersecurity and Infrastructure Security Agency (CISA), Washington, DC, USA, along with a prioritization of the sub-elements within each pillar. The study provides actionable insights into the implementation of ZTA, helping organizations prioritize security efforts to mitigate risks effectively and build a resilient digital infrastructure. The evaluation results were used to create a prioritized framework, integrated into the ZEUS platform, developed with Teleconsys S.p.A., to enable detailed assessments of a firm’s cyber partner regarding ZT and identify improvement areas. The paper concludes by offering recommendations for future research and practical guidance for organizations transitioning to a ZT model. Full article

This study proposes an intelligent patrol planning framework that leverages reinforcement learning, spatiotemporal crime forecasting, and simulated sensor telemetry to optimize autonomous vehicle (AV) navigation in urban environments. Crime incidents from Washington DC (2024–2025) and Seattle (2008–2024) are modeled as a dynamic spatiotemporal graph, capturing the evolving intensity and distribution of criminal activity across neighborhoods and time windows. The agent’s state space incorporates synthetic AV sensor inputs—including fuel level, visual anomaly detection, and threat signals—to reflect real-world operational constraints. We evaluate and compare three learning strategies: Deep Q-Network (DQN), Double Deep Q-Network (DDQN), and Proximal Policy Optimization (PPO). Experimental results show that DDQN outperforms DQN in convergence speed and reward accumulation, while PPO demonstrates greater adaptability in sensor-rich, high-noise conditions. Real-map simulations and hourly risk heatmaps validate the effectiveness of our approach, highlighting its potential to inform scalable, data-driven patrol strategies in next-generation smart cities. Full article