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The 14th International Topical Meeting on Nuclear Applications of Accelerators (AccApp'21) was held in 2021 as an embedded topical meeting during the ANS Winter Meeting in Washington, D.C. The conference aimed to promote accelerator-based research and development and covered various research topics, including accelerator facilities, nuclear data, medical applications, and industrial applications. A total of 120 abstracts were submitted, and 105 presentations were given. The conference faced challenges due to the COVID-19 pandemic but was successful with the support of participants and sponsors. The conference proceedings were published in Nuclear Science and Engineering (NSE). [Extracted from the article]

Research has demonstrated children in out-of-home care have experienced trauma and a significant proportion are in need of behavioral health services (e.g. Casaneuva et al., NSCAW II baseline report: Child well-being, US Department of Health and Human Services, Washington, DC, 2011). Accessing services requires interagency coordination between child welfare and behavioral health professionals; however, challenges to coordination and collaboration may result in lack of service utilization for many youth (Hanson et al. 2016). Utilizing a mixed methodological approach, this paper describes the results of a study conducted five years after full state-wide implementation of processes designed to promote the use of evidence-based practices to inform decision-making for youth dually served by the child welfare and behavioral health systems. Outcomes from the study were used to develop strategies to address programmatic concerns and reinforce implementation supports. Study findings may aid organizations seeking to reinforce data-informed practices and employ strategies for addressing barriers at the worker and agency level. [ABSTRACT FROM AUTHOR]

In the early 1900s, Washington, D.C. contained many alleys in the interior of blocks inhabited by impoverished Black residents. Elite reformers engaged in an aggressive campaign to eliminate alleys, on the grounds of their purported unsanitary environment and high disease prevalence. In this paper, I combine quantitative, qualitative, and spatial sources to explore new perspectives on segregation, public health, and the racialized efforts of housing reformers during this period. I find that reformers overstated the horrors of conditions in alleys and their effects on residents' health: poorer health among alley residents was in large part due to Black residents' marginalization wherever they might live. Alleys' status as racialized space, coupled with progressive paternalistic racism, facilitated the discursive construction of alleys as pathological "breeding grounds of disease." Further, my findings shed new light on micro-configurations of segregation within racially mixed neighborhoods, as well as the social experience and meaning of such configurations. Far from indicating harmonious coexistence, the proximity of such alleys to white homes and institutions spurred elite Washingtonians' self-interested fear of disease spreading beyond the alleys. Thus, this pattern of segregation helps explain the zeal of the campaign to eradicate alleys: as a means of achieving separation from undesired Black neighbors whom white reformers associated with contagion. [ABSTRACT FROM AUTHOR]

Conservation planners often rely on heuristic indices when challenged with prioritizing potential projects under a constrained budget. This paper presents a comparative analysis of several prioritization indices (PIs) of culvert fish passage barriers, which can contribute to declines in anadromous fish populations. A federal injunction requires Washington state to restore 90% of habitat blocked by state‐owned culverts by 2030, prompting the development of numerous PIs, by various entities (i.e., counties, cities) within the injunction area. Our comparative analysis of PIs within the injunction Case Area investigates their ability to distinguish between barriers, their transferability in terms of scoring metrics, how scoring weights differ, and the preferences implied thereby. We document the use of six distinct PI methods by 10 entities and find that some PIs used many shared metrics, whereas others used a high percentage of unique metrics that would be difficult to replicate outside the entity's jurisdiction. Although habitat potential, habitat quantity, and connectivity were considered across all PIs, we found a high level of variation in terms of the metric weights. Our methods can be employed in other geographies or for other restoration PI planning efforts, and our results may facilitate the development and refinement of future PIs. [ABSTRACT FROM AUTHOR]

Drug overdose claimed more than 100,000 lives in the United States in 2021. Drug‐induced homicide (DIH) laws create specific criminal liability for individuals who provide drugs that cause or contribute to the death of another person. DIH prosecutions in the United States have increased substantially over the past decade despite the absence of meaningful evidence of their individual‐ or community‐level impacts. Recently, Lee et al. analyzed the impact of DIH laws on county‐level opioid overdose mortality across 92 counties in 10 states and concluded that DIH laws are associated with significant reductions in rates of opioid overdose death. In this commentary, we present evidence demonstrating that the Lee et al. study is fundamentally flawed. Specifically, the legal data used by Lee et al. to define their treatment condition (the presence or absence of a state‐level DIH law) is incorrect in almost every aspect. We also describe significant methodological weaknesses, including flawed sampling strategies that resulted in a biased sample of county overdose rates as well as flawed modeling strategies that cannot effectively evaluate the hypothesis that DIH laws negatively impact opioid overdose mortality. More research on the individual‐ and community‐level impacts of DIH laws is needed. In the meantime, we advise policymakers to strengthen state 911 Good Samaritan laws, as DIH laws appear to erode the efficacy of this proven overdose‐prevention strategy. Key points: Drug‐induced homicide laws create specific criminal liability for individuals who provide drugs that cause or contribute to the death of another person and are increasingly used in the United States despite little evidence of their impact on overdose and other harms.This paper critically evaluates a recent paper that analyzed the impact of these laws on county‐level opioid overdose mortality across 92 counties in 10 US states, concluding that these laws are associated with reduced opioid overdose deaths.We present evidence demonstrating that the previous paper is fundamentally flawed, detailing serious errors in the underlying legal research as well as significant methodological weaknesses that render the results of the paper unreliable.Reliable research on the impact of these laws is urgently needed. In the meantime, policymakers are urged to implement policies with robust evidence demonstrating their overdose‐prevention impacts: medications for opioid use disorder, naloxone access, and syringe services programs. [ABSTRACT FROM AUTHOR]

• A novel combined interval prediction algorithm is proposed in this paper. • Hybrid feature selection strategy is designed in the proposed system. • Multi-objective optimization mechanism reflects strong search capabilities. • Four interval prediction models cover the inherent modes of sequence. Traditional point prediction approaches can not reflect the uncertainty, which brings greater risks to decision-makers. To fill this gap, this paper extends a feature selection strategy that relies solely on correlation and redundant feature judgment, proposes a novel combined interval prediction algorithm, 3-Mcip (Combined Interval Prediction Based on Maximize Relevancy, Minimize Redundancy and Maximize Synergy) system, and solves the tradeoff between prediction accuracy and interval width. This system first designs a hybrid feature selection strategy to optimally select candidate variables and reduce model input redundancy. Secondly, the structure of the four ANN models is improved to accommodate the results of feature selection, and an optimization mechanism is introduced to search for the Pareto optimal solution set. In order to measure the comprehensive performance of the 3-Mcip system, hourly power load data and related candidate variables from Pittsburgh and Washington, D.C are considered. The numerical results show that the 3-Mcip system has coverage rates of 53.3333, 90.1667, and 99.4479 for Site 1 at different levels of interval width coefficients, which not only achieves perfect prediction of power load but also analyzes uncertainty. It is also helpful for power system managers to better capture the fluctuation range of future load and improve the flexibility of smart grid dispatching. [ABSTRACT FROM AUTHOR]

The increasing availability of high quality digital texts and usage data about them provides opportunities to identify new uses for collections, alternative ways to present and explore content, and expanded audiences for the materials. Using this information and a rapid development model called a “flash build,” JSTOR is creating and partnering with other organizations to build new tools that add value to library investments in digital collections. Two examples are discussed: “Classroom Readings,” a tool designed to help educators find articles on JSTOR that are good candidates for teaching, and “Understanding Shakespeare,” a resource created in collaboration with the Folger Shakespeare Library that enables scholars to follow links in lines from Shakespeare plays to articles on JSTOR that reference them. The rapid development model used for these projects is easily reproducible and effective, and could be applied to many library-driven efforts. [ABSTRACT FROM PUBLISHER]

The article offers information on the different awards presented by the Conference on English Education (CEE) at the National Council of Teachers of English (NCTE) held in Washington, D. C. It cites some of the awards which include the 2014 Janet Emig Award, the James Moffett Award, and the James N. Britton Award. It announces winners including Steven Alvarez, Troy Hicks, and Deborah Bieler.

The pioneering work of Getis and Ord on local spatial statistics has a counterpart in spatial econometrics in treating spatial heterogeneity. This can be approached from a continuous or a discrete perspective. In a discrete perspective, referred to as spatial regimes, the coefficients vary by discrete subregions of the data. Whereas the estimation of spatial regime regressions is well understood, the delineation of the regimes themselves remains a topic of active interest. Generally speaking, two broad classes of methods can be distinguished, one in which the delineation is carried out separately from the coefficient estimation and one where the two are tightly integrated. Tightly integrated approaches are referred to as endogenous spatial regimes. A number of different methods have been suggested in the literature, including finite mixture models, GWR-based methods, and penalized regression. One drawback of regime delineation is that the results do not necessarily satisfy a spatial contiguity constraint, i.e., observations are grouped despite not being spatially connected. In this paper, we outline a heuristic to determine the spatial regimes endogenously, as an extension of the well-known SKATER algorithm for spatially constrained clustering. This guarantees that the resulting regimes consist of contiguous observations. We outline the method and apply it in the context of the determination of housing submarkets, which is represented by rich literature in applied spatial econometrics. We use a well-known Kaggle data set as the empirical example, which contains observations on house sales in King County, Washington. We compare the estimation of a hedonic house price model using the endogenous spatial regimes approach to a range of more traditional methods, including pooled regression, the use of administrative districts, data-driven regimes based on a-spatial and spatial clustering of explanatory variables, and finite mixture regression. We evaluate the results in terms of fit and assess the trade-offs between the spatial and a-spatial approaches. [ABSTRACT FROM AUTHOR]

Neighborhood parks are important venues to support moderate-to-vigorous (MVPA) activity. There has been a noticeable increase promoting physical activity among youth in neighborhood parks. This paper aims to assess the association between park use and MVPA among low-income youth in a large urban area. We recruited a cohort of 434 youth participants during the COVID pandemic years (2020–2022) from low-income households in Washington, D.C. We collected multiple data components: accelerometry, survey, and electronic health record data. We explored the bivariate relationship between the accelerometer-measured daily MVPA time outcome and survey-based park use measures. A mixed-effect model was fitted to adjust the effect estimate for participant-level and time-varying confounders. The overall average daily MVPA time is 16.0 min (SD = 12.7). The unadjusted bivariate relation between daily MVPA time and frequency of park visit is 1.3 min of daily MVPA time per one day with park visits (p < 0.0001). The model-adjusted estimate is 0.7 daily MVPA minutes for 1 day with park visit (p = 0.04). The duration of a typical park visit is not a significant predictor to daily MVPA time with or without adjustments. The initial COVID outbreak in 2020 resulted in a significant decline in daily MVPA time (− 4.7 min for 2020 versus 2022, p < 0.0001). Park visit frequency is a significant predictor to low-income youth's daily MVPA time with considerable absolute effect sizes compared with other barriers and facilitators. Promoting more frequent park use may be a useful means to improve low-income youth's MVPA outcome. [ABSTRACT FROM AUTHOR]

The NoMA Business Improvement District (BID) is one of Washington DC's fastest developing areas and has one of the city's largest concentrations of unhoused tent camps, many of which are located in underpasses that provide bits of protection and privacy. These underpasses were created during DC's City Beautiful Movement and have been the site of neoliberal antihomeless strategies. In this paper I explore the production of space in the NoMA area and how property owners, business associations, and government actors sanitized public space for wealthy newcomers while excluding poor and unhoused residents. [ABSTRACT FROM AUTHOR]

Background: Public education reforms, such as expanded school choice, have become a critical lever for remaking urban landscapes. These reforms often aim to attract and retain affluent and White families in urban schools, so scholars have examined how these parents navigate the perceived risk of choosing these schools for their children. Purpose: This paper extends this scholarship to understand how other families experience these reforms in gentrifying landscapes. We ask: (1) How do Black parents navigate school selection in a gentrifying and expansive education marketplace? (2) How do Black parents' perceptions of schooling shape their approach to school selection? (3) How do parents' positionalities (e.g., gender, class, place attachments, and tenure in the city) influence their experiences? Research Design: We leverage a qualitative meta-analysis design that pools data from three separately conducted studies of gentrification in Washington, D.C. For this analysis, we center on 34 Black parents' experiences as they navigate school selection. We reanalyzed data through the lens of critical spatial and racial theories. We paid particular attention to participants' attachments to place, their perceptions of their choices, the school and neighborhood attributes participants valued, and how they navigated school selection. Findings: Parents considered a broad range of school and neighborhood characteristics as they constructed their choice sets. As they searched for schools, Black parents made a series of racialized compromises to find schools they perceived to be racially, physically, and socially safe for their children. Parents, for example, negotiated their desire for academic rigor with their perception of schools' social climates and their perceptions that schools would be racially affirming and inclusive. Place and space were essential to parents' choice set construction. Schools' physical locations and perceptions of safety influenced whether parents viewed schools as viable options for their children. Conclusion: Our study underscores the multiple factors that bound choice set construction. Critically, Black parents' experiences as they navigated school selection suggest that the expansive educational marketplace offered a "chance, not a choice" at high-quality educational opportunities. [ABSTRACT FROM AUTHOR]

Uniformitarian scientists were surprised to discover channels on Mars like the Channeled Scablands of eastern Washington. Climate models indicate that large-scale Martian floods are impossible. This paper will describe what appear to be flood features on Mars. Three types of channels on Mars are described in this paper: valley networks, outflow channels, and gullies. Like the Solar System's other solid bodies that have not been resurfaced by debris and volcanism, Mars possesses numerous impact craters, some very large, which provide a framework for the planet's history. Secular uniformitarian scientists divide the geologic history of Mars into four main periods which span 4.5 billion years. [ABSTRACT FROM AUTHOR]

This introductory overview of the journal issue describes how the issue was conceived, its intent and objectives, and includes highlights about the authors and their essays. [ABSTRACT FROM AUTHOR]

In the early 1900s, Washington, D.C. contained many alleys in the interior of blocks inhabited by impoverished Black residents. Elite reformers engaged in an aggressive campaign to eliminate alleys, on the grounds of their purported unsanitary environment and high disease prevalence. In this paper, I combine quantitative, qualitative, and spatial sources to explore new perspectives on segregation, public health, and the racialized efforts of housing reformers during this period. I find that reformers overstated the horrors of conditions in alleys and their effects on residents' health: poorer health among alley residents was in large part due to Black residents' marginalization wherever they might live. Alleys' status as racialized space, coupled with progressive paternalistic racism, facilitated the discursive construction of alleys as pathological "breeding grounds of disease." Further, my findings shed new light on micro-configurations of segregation within racially mixed neighborhoods, as well as the social experience and meaning of such configurations. Far from indicating harmonious coexistence, the proximity of such alleys to white homes and institutions spurred elite Washingtonians' self-interested fear of disease spreading beyond the alleys. Thus, this pattern of segregation helps explain the zeal of the campaign to eradicate alleys: as a means of achieving separation from undesired Black neighbors whom white reformers associated with contagion. [ABSTRACT FROM AUTHOR]

This paper attempts to develop statistical modeling for air-conditioning analysis in Jakarta, Indonesia, during an emergency state of community activity restrictions enforcement (Emergency CARE), using a variety of parameters such as PM10, PM2.5, SO2, CO, O3, and NO2 from five IoT-based air monitoring systems. The parameters mentioned above are critical for assessing the air quality conditions and concentration of air pollutants. Outdoor air pollution concentration variations before and after the Emergency CARE, which was held in Indonesia during the COVID-19 pandemic on July 3-21, 2021, were studied. An air quality monitoring system based on the IoT generates sensor data that is collected from a government-integrated data portal, and that can be analyzed statistically. There are two main types of ANOVA (Analysis of Variance): one-way (or unidirectional) and two-way, which are applied to the collected sensor data and hypotheses calculated using ANOVA. ANOVA one-way was found to be more effective for analyzing air quality condition data. During emergency CARE, the average concentrations of PM10, PM2.5, and O3 from the air quality monitoring system show values that have exceeded the standard Air Quality Index (AQI), while the concentrations of CO, NO2, and SO2 are still below the applicable AQI values. It stated that air pollution in Jakarta worsened during the implementation of Emergency CARE. [ABSTRACT FROM AUTHOR]

This paper focuses on the estimation and compression of ride demand from origin-destination (OD) trip event data. By representing the OD event data as a three-way tensor (origin, destination, and time), we model the data as a Poisson process with an intensity tensor that can be decomposed according to a Tucker decomposition. We establish and justify a specific form of nonnegative Tucker-like tensor decomposition that represents OD demand via K latent origin spatial factors and K latent destination spatial factors. We then provide a computational and memory efficient algorithm for performing this decomposition and demonstrate its use for real-time compression and estimation of OD ride demand. Two case studies based on New York City (NYC) taxi and Washington DC (DC) taxi were implemented. Results from the case studies demonstrate the applicability of the proposed method in data compression and short-term forecast for ride demand. Furthermore, we found that the learned latent spatial factors are interpretable and localized to specific areas for both NYC and DC cases. Hence, this method can be used to understand OD trip data through latent spatial factors and be used to identify spatio-temporal patterns for OD trip and travel demand generation mechanism in general. Funding: This work was supported by the U.S. Department of Transportation [UTC/NCST] and the U.S. National Science Foundation [Grant DMS 1712996]. Supplemental Material: The online appendix is available at https://doi.org/10.1287/trsc.2022.0101. [ABSTRACT FROM AUTHOR]

Low-cost, long-term measures of air pollution concentrations are often needed for epidemiological studies and policy analyses of household air pollution. The Washington passive sampler (WPS), an ultra-low-cost method for measuring the long-term average levels of light-absorbing carbon (LAC) air pollution, uses digital images to measure the changes in the reflectance of a passively exposed paper filter. A prior publication on WPS reported high precision and reproducibility. Here, we deployed three methods to each of 10 households in Ulaanbaatar, Mongolia: one PurpleAir for PM2.5; two ultrasonic personal aerosol samplers (UPAS) with quartz filters for the thermal-optical analysis of elemental carbon (EC); and two WPS for LAC. We compared multiple rounds of 4-week-average measurements. The analyses calibrating the LAC to the elemental carbon measurement suggest that 1 µg of EC/m3 corresponds to 62 PI/month (R2 = 0.83). The EC-LAC calibration curve indicates an accuracy (root-mean-square error) of 3.1 µg of EC/m3, or ~21% of the average elemental carbon concentration. The RMSE values observed here for the WPS are comparable to the reported accuracy levels for other methods, including reference methods. Based on the precision and accuracy results shown here, as well as the increased simplicity of deployment, the WPS may merit further consideration for studying air quality in homes that use solid fuels. [ABSTRACT FROM AUTHOR]

Examines the use of judicial discretion on resolving antitrust disputes by the Supreme Court in the United States based on the Thurgood Marshall Papers released by the Library of Congress. Decision in `Matsushita Electric Industrial Co. v. Zenith Radio Corp.'; Factors that influence the exercise of discretion; Relevance to predicting resolutions of antitrust disputes.

The article examines that the Wordsworth-Coleridge Association is an Allied Organization of the Modern Language Association that meets annually during the MLA Convention. Topics include considered that the Wordsworth-Coleridge Association is allowed to propose up to two scholarly sessions and for the MLA Convention in Washington, D.C., proposals are invited on several topics given.

In the United States, state-funded preschool is a critical component of both K-12 public education and the early childhood education and care system. In 2021, 44 states and the District of Columbia operated 63 school/center-based preschool programs serving over 1.3 million children. The vast majority of state-funded preschool programs require two adults in each classroom: typically, a lead teacher and an assistant teacher, with an expectation for team teaching. This paper examines the trends and variations in state policies that address the qualifications requirements, compensation, and professional development supports for preschool lead and assistant teachers in state-funded preschool programs that provide a foundation for supporting a culture of collective success and potential quality of the classroom. [ABSTRACT FROM AUTHOR]

A compressible cavitation model is developed in this paper, in which the bubble wall velocity is obtained by solving the compressible Rayleigh–Plesset (R–P) equation. Additionally, vapor compressibility is also included during evaporation/condensation to correct the phase change rate. The predicted results around a National Advisory Committee for Aeronautics (NACA) 66 (mod) hydrofoil are compared with the available experimental data, and a satisfied agreement is obtained. By (mod), we mean the NACA 66 hydrofoil modified by Brockett ["Minimum pressure envelopes for modified NACA-66 sections with NACA a = 0.8 camber and BuShips type I and type II sections," Technical Report No. 1780 (David Taylor Model Basin Washington DC Hydromechanics Lab, 1966)] and Valentine ["The effect of nose radius on the cavitation-inception characteristics of two-dimensional hydrofoils," Technical Report No. 3813 (Naval Ship Research and Development Center, 1974)]. Several crucial flow properties, e.g., fluid compressibility, cavitation evolution features, and pressure statistical characteristics, are studied in detail. The results suggest that the developed compressible cavitation model is better suited for predicting the collapse behavior of cavitation. Moreover, our work captures the liquid re-entrant jet and bubbly shock waves well and reveals that these two mechanisms jointly dominate the cavity shedding dynamics. Shock-induced pressure pulses play a more important role in flow features, with a maximum amplitude exceeding 200 kPa, significantly larger than the pressure pulse caused by liquid re-entrant jets. Finally, the statistical analysis indicates that the pulsating pressure presents non-Gaussian nature with positive skewness, and shock waves exhibit high-frequency and high-energy characteristics. [ABSTRACT FROM AUTHOR]

The hyperspectral image (HSI) super-resolution reconstruction has attracted much attention and been used widely in various study fields due to its low requirements on hardware in practice. However, most of the hyperspectral image super-resolution reconstruction studies apply one strategy for images with varying complexity of spatial information. This is not conducive to the improvement of Image processing efficiency and the extraction of complex details. Given the above, a new method named MSDESR (multilevel streams and detail enhancement) is proposed to reconstruct HSI by using partition reconstruction and detail enhancement. The MSDESR consists of a sub-map shunt block, a high-low-frequency information extraction with detail enhancement block, and a partition image reconstruction block. Firstly, the sub-map shunt block is designed to pre-classify hyperspectral images. The images are divided into complex and simple parts according to the spatial information distribution of the reconstructed sub-map. Secondly, the multiscale Retinex with detail enhancement algorithm is constructed to purify high-frequency noise-contaminated and enhance the image details by separating the samples into high- and low-frequency information. Finally, branching networks of different complexities are designed to reconstruct the images with high credibility and clear content. In this paper, datasets of QUST-1, Pavia University, Chikusei, the Washington DC Mal and XiongAn are applied in the experiments. The results show that MSDESR outperforms state-of-the-art CNN-based methods in terms of quantitative metrics, visual quality, and computational effort, with a 4.18% and 9.35% improvement in SRE and MPSNR metrics, and a 37% saving in FLOPs. Overall, the MSDESR performs well in hyperspectral image super-resolution reconstruction, which is time saving and preserves the details of spatial information. [ABSTRACT FROM AUTHOR]

As we approach the 50th anniversary in 2024 of first Information Industry Association president Paul Zurkowski's 30-page information literacy founding report to the U.S. Commission on Libraries and Information Science, Washington, DC USA where he publicly identified, named and defined information literacy (IL, InfoLit), it is important to reflect on the roots, development and future of IL. Reflections are based on 11+ years learning, working and traveling with Mr. Zurkowski until his passing in January of 2022. Mr. Zurkowski's "Report to the Commission" "The Information Service Environment Relationships and Priorities" that launched IL in 1974 at the dawn of the Information Age as part of the National Program for Library and Information Services designated as "Related Paper Number 5", is even more relevant today and will be presented and explored including his quotes on democracy, active citizenship, and libraries in context of IL. Lastly, the key events that led to starting an international professional nonprofit educational public charity association to represent IL professionals worldwide, the growing international IL community and how to increase critical thinking through IL, the Universal Information Literacies Association (UiLA), will also be presented. [ABSTRACT FROM AUTHOR]

In this paper, we study the interior C^{2} estimates for a type of Hessian quotient equation. If k

The Wasatch Front in Utah, USA is currently a non-attainment area for ozone according to the Environmental Protection Agency's (EPA) National Ambient Air Quality Standards (NAAQS). Nitrogen oxides (NOx = NO2 + NO) and volatile organic compounds (VOCs) in the presence of sunlight lead to ozone formation in the troposphere. When the rate of oxidant production, defined as the sum of O3 and NO2, is faster than the rate of NOx production, a region is said to be NOx-limited and ozone formation will be limited by the concentration of NOx species in the region. The inverse of this situation makes the region VOC-limited. Knowing if a region is NOx-limited or VOC-limited can aid in generating effective mitigation strategies. Understanding the background or regional contributions to ozone in a region, whether it be from the transport of precursors or of ozone, provides information about the lower limit for ozone concentrations that a region can obtain with regulation of local precursors. In this paper, measured oxidant and NOx concentrations are analyzed from 14 counties in the state of Utah to calculate the regional and local contributions to ozone for each region. This analysis is used to determine the nature of the atmosphere in each county by determining if the region is VOC- or NOx-limited. Furthermore, this analysis is performed for each county for the years 2012 and 2022 to determine if there has been a change in the oxidative nature and quantify the regional and local contributions to ozone over a 10-year period. All studied counties—except for Washington County—in Utah were found to be VOC-limited in 2012. This shifted in 2022 to most counties being either in a transitional state or being NOx-limited. Local contributions to ozone increased in two major counties, Cache and Salt Lake Counties, but decreased in Carbon, Davis, Duchesne, Uinta, Utah, Washington, and Weber Counties. Generally, the regional contributions to oxidant concentrations decreased across the state. A summertime spike in both regional and local contributions to oxidants was seen. Smoke from wildfires was seen to increase the regional contributions to oxidants and shift the local regime to be more NOx-limited. [ABSTRACT FROM AUTHOR]

Why do intelligence estimates sometimes fail to prepare policymakers for change? Some explanations suggest the fault lies with insufficient data collection, weak analysis, or unreceptive audiences. But while more data and better analysis would always be welcome, they may not materially reduce uncertainty; and explanations centering on the intelligence-policymaker relationship offer no systematic critique of the orthodoxy that keeps intelligence and policymakers at arm's length. This paper argues that some cases of estimative failure – including the case of the 1979 Iranian revolution – are the result of a flawed orthodoxy of intelligence-policymaker relations, which overlooks the policymaker's actual and potential impact on the target. In contrast, this paper introduces the concept of "the view from somewhere", which places the customer's policy and preferences at the center of the intelligence problem. In the Iran case, estimates adopting the view from somewhere could have warned Washington of critical decision points while it still had leverage to act, explained how US policy had inadvertently shaped the Shah's ineffectual response to unrest, and assessed opportunities for effective policy alternatives. [ABSTRACT FROM AUTHOR]

Economic governance typically deploys policy frameworks linked to a model of the economy, but how a policy model is established and changes are questions that continue to puzzle analysts. The authority of the neoliberal model has been explained by the durability of the policy ecology of professional economists and policymakers, but this paper shows that a wider lens on agents and a longer time horizon reveals the emergence of an alternative policy model since the Great Recession that has influenced the new administration in Washington. This paper adapts arguments from the sociology of fields and movements and from pragmatist theories of action to show how the institutional redoubts of policymaking can be breached. Individuals and groups that institutions frame as passive takers of rules and fillers of roles in fact innovate in their daily lives. Social justice organizations have mobilized this dispersed mundane resource to expand the scope for action, but it required time for social learning and organizational innovation. Since 2009, social justice organizations and allies among unions, think tanks, and foundations have coalesced to win employment policy reforms by state and local governments. Their alternative narrative of an equitable economy has been increasingly adopted by Washington policy experts and the Biden Democratic Party. A key to whether the new configuration engineers a change in the national neoliberal model is the degree to which the new Democratic administration's decisions are oriented by the equitable growth model. [ABSTRACT FROM AUTHOR]

Housing has become increasingly unaffordable, especially in cities like Washington, D.C. Wage growth has not kept up, meaning that more households must spend a larger portion of their income to keep a roof over their heads. Government programs addressing affordable housing are innumerous, yet many individuals still face housing costs that are too high. At the same time, cities are plagued by thousands of vacant properties. Moving vacant properties back onto the residential market could help increase the housing stock and alleviate pressure on housing costs. However, to truly address the affordable housing crisis, vacant properties put back to productive use should be affordable in perpetuity. One type of entity, a community land trust (CLT), can facilitate that very thing. This paper explores the housing affordability crisis and the vacant property landscape in D.C. It then describes the CLT model, focusing particularly on a relatively new community land trust in D.C., the Douglass Community Land Trust. Finally, this paper urges the D.C. Council to pass legislation supporting CLTs in D.C. and includes recommended policy provisions. [ABSTRACT FROM AUTHOR]

Insufficient funding for terrestrial protected areas is a global challenge, and the ability of a protected area management agency to secure sustainable financing is an obstacle in the effective management of these important areas. While the role of public sector agencies in establishing, financing, and managing protected areas, and in providing a supportive legislative and policy environment will remain essential into the future; the International Union for the Conservation of Nature (IUCN) recommends that alternative finance mechanisms be adopted to help achieve financial sustainability. With this recommendation in mind, one approach is to look to other policy areas which traditionally rely on governments as their primary funding source, to understand the alternative finance mechanisms they have adopted and appraise the suitability of these mechanisms for terrestrial protected areas. One alternative finance mechanism is the social and environmental impact bond which is a subset of impact investment and an example of a pay for success or results-based contract. This paper reviews literature on the social and environmental impact bond with a view to assessing its potential applicability to assist in the effective management of terrestrial protected areas that fall within the management categories defined by the IUCN. Three examples of existing and proposed impact bonds with an environment focus are explored, including the world's first environmental impact bond in Washington D.C., the publicly offered Atlanta environmental impact bond and the proposed wildlife conservation bond in South Africa. The selected impact bonds will help to illustrate the establishment, operation, and evaluation of impact bonds in a real-world context. It will be argued that the social and environmental impact bond can be a useful finance model for a range of uses in a variety of social sectors and conservation settings, including terrestrial protected areas. The paper further considers how the impact bond might result in both improved social and/or environmental outcomes as well as the perceived challenges associated with this alternative finance mechanism. While the focus of this paper is on terrestrial protected areas, the lessons discussed may also be applicable to marine protected areas. [ABSTRACT FROM AUTHOR]

This paper introduces an enhancement of the protection and operation of the Future Renewable Electric Energy Delivery and Management (FREEDM) system. It uses the solid-state transformers to connect the residential A.C. and D.C. microgrids to the distribution system and fault isolation devices for faulty line isolation. In this paper, a current differential protection scheme has been proposed to detect faults in the FREEDM-based microgrid network. This method is based on the current measurement at the two-line terminals using phasor measurement units to ensure data synchronization and minimize the measuring error. Also, a communication scheme that is based on the Internet of things technology and Wi-Fi is constructed for data monitoring and interlinking between the relays, transducers, and the fault isolation devices in the two-terminals lines. A hypothetical FREEDM system has been used for the verification and testing of the proposed method. Different fault types at different locations and fault resistances have been applied to prove the effectiveness of the proposed protection method in detecting the fault condition. The performance of the proposed method is investigated using the security, dependability, and accuracy indices. A prototype of the FREEDM system is designed, implemented, and tested using the Proteus software simulator and in the laboratory. The results prove the efficiency of the proposed protection method in detecting and isolating the fault conditions in a fast, reliable, and accurate manner. Moreover, the protection scheme achieved high accuracy for all faults, equal to 98.825%. [ABSTRACT FROM AUTHOR]

An agamic complex of 20- and 10-stamen, black-fruited hawthorns (Crataegus subg. Sanguineae, sect. Douglasianae) occurs in western North America, with a 10-stamen taxon disjunct in the upper Great Lakes basin. Here, we recircumscribe the 20-stamen taxa at the core of this complex (C. ser. Douglasianae). This is needed in order to distinguish between a presumptively ancestral diploid and its allo- and auto-polyploid derivatives, all differing in breeding system, distribution, morphology, and pattern of genetic variation. The earliest name for these 20-stamen taxa, Crataegus gaylussacia A. Heller, was given to distinctive plants of Marin and Sonoma counties in California that have recently been shown to be autotriploids. In Flora North America, however, this name was applied to all 20-stamen, black-fruited hawthorns. We recircumscribe C. gaylussacia, and also recircumscribe and typify a slightly younger name, C. suksdorfii (Sarg.) Kruschke, with a specimen from southern Washington with the diminished pollen fertility found in allopolyploid, apomictic black-fruited hawthorns occurring east of the Cascades, from northern California north to southernmost Alaska. Finally, we recognize the diploid, self-incompatible, sexual black-fruited hawthorns found west of the Cascades from northern California to southwestern Washington as Crataegus rhodamae-loveae sp. nov. Together with the 10-stamen, black-fruited hawthorns in predominantly tetraploid, apomictic, and self-fertile C. douglasii Lindl. and its segregates (discussed in detail in a companion paper), these species are linked by whole genome duplications associated in most cases with hybridization, with members of red-fruited C. subg. Americanae, and with each other. We suggest that this complex provides a model for understanding other such groups of Crataegus species that are related by whole genome duplications resulting from the fertilization of unreduced gametes (facilitated by but not necessarily dependent on occurrence of gametophytic apomixis), often together with hybridization. We note that an earlier effort at DNA barcoding these and other hawthorn species that provided limited support for our taxonomic decisions here also demonstrated some limited utility of the original plant DNA barcoding loci in groups like Crataegus. The taxonomic decisions we advocate will warrant consideration when other groups of hawthorns are revised in the light of data like those employed here. [ABSTRACT FROM AUTHOR]

This paper considers how and to what ends commoning practices can take shape in direct response to the spectres and/or realities of eroding resources (we focus especially on public resources) within iterations of what we term "salvage commoning". We show how, in such contexts, commoning practices may potentially alleviate but also potentially (re)produce inequities, exclusions, and resource retractions. To illustrate, we draw upon two examples: parent‐teacher organisations in Washington, DC, and block associations in New York City. In both instances, people have cooperatively built new relations, coordinated voluntary labour, and stewarded resources in connection with specific commons (public schools and urban spaces) threatened by disinvestment and crisis. We show how troubling alignments and exclusions can emerge under these conditions, suggesting critical questions about the starkly mixed potential of salvage commoning—especially in the face of ongoing and emerging crises in which such orientations are likely to become increasingly prevalent. [ABSTRACT FROM AUTHOR]

Rizzo showed that the family of elliptic curves W (t) : y 2 = x 3 + t x 2 − (t + 3) x + 1 , a well-known example of Washington, has root number W (W (t)) = − 1 for all t ∈ Z [11]. In this paper we generalise this example and identify the families of small degree on which this phenomenon happens. Motivated by results from [2] and [5] , we study in detail the two families F s (t) : y 2 = x 3 + 3 t x 2 + 3 s x + s t and L w , s , v (t) : w y 2 = x 3 + 3 (t 2 + v) x 2 + 3 s x + s (t 2 + v) and describe necessary and sufficient conditions for which subfamilies of F s (t) have constant root number on integer fibres. We further prove similar but partial results on L w , s , v (t). Our results give examples of subfamilies for which there is rank elevation at integer fibres. [ABSTRACT FROM AUTHOR]

This paper describes GCAM-USA v5.3_water_dispatch, an open-source model that represents key interactions across economic, energy, water, and land systems in a consistent global framework with subnational detail in the United States. GCAM-USA divides the world into 31 geopolitical regions outside the United States (US) and represents the US economy and energy systems in 51 state-level regions (50 states plus the District of Columbia). The model also includes 235 water basins and 384 land use regions, and 23 of each fall at least partially within the United States. GCAM-USA offers a level of process and temporal resolution rare for models of its class and scope, including detailed subnational representation of US water demands and supplies and sub-annual operations (day and night for each month) in the US electric power sector. GCAM-USA can be used to explore how changes in socioeconomic drivers, technological progress, or policy impact demands for (and production of) energy, water, and crops at a subnational level in the United States while maintaining consistency with broader national and international conditions. This paper describes GCAM-USA's structure, inputs, and outputs, with emphasis on new model features. Four illustrative scenarios encompassing varying socioeconomic and energy system futures are used to explore subnational changes in energy, water, and land use outcomes. We conclude with information about how public users can access the model. [ABSTRACT FROM AUTHOR]

Recently, the combined macroscopic and statistical evaluation of 427 identified pre‐antibiotic era skeletons from the Terry Collection (Washington, DC, USA) revealed that there is a positive association between tuberculous meningitis (TBM) and four endocranial alteration types, namely, granular impressions (GIs), abnormal blood vessel impressions (ABVIs), periosteal appositions (PAs), and abnormally pronounced digital impressions (APDIs). Although all the four lesion types can be used as diagnostic criteria for TBM in the paleopathological practice, they do not have the same diagnostic value. The first aim of the current paper is to further highlight the diagnostic value of GIs, ABVIs, PAs, and APDIs by calculating and discussing their diagnostic sensitivity and specificity estimate values, as well as their association with each other from the 427 identified pre‐antibiotic era skeletons of the Terry Collection. The second aim is to demonstrate three example cases from the Terry Collection, who exhibit bony changes on the inner skull surface that are representative of the macromorphological appearance and co‐occurrence of GIs, ABVIs, PAs, and APDIs (in different combinations). Based on the generated sensitivity and specificity estimate values, GIs are sufficient enough on their own to make a definitive diagnosis of TBM, whereas ABVIs, PAs, and APDIs are not specific to the disease but can be of tuberculous origin. The χ2 test results regarding the association of ABVIs, PAs, and APDIs revealed that their co‐occurrence with each other (in any possible combination) is significantly more common in individuals who died of TB than in those who died of non‐TB causes—it implies that the chance of them being tuberculous in origin is higher when they simultaneously occur with each other. The three cases demonstrated in detail in the paper provide paleopathologists with a stronger basis for identifying TBM in ancient human remains that reveal endocranial alterations resembling that of the presented cases. [ABSTRACT FROM AUTHOR]

LearnServe Abroad is an international, summer, service-learning, high school program with a short, local, post-trip, social entrepreneurship component. Founded in 2003 in Washington, DC, it has faced a number of difficulties. Motivation and engagement issues, drop-outs, incomplete or untouched entrepreneurial projects, homesickness during trips, team dynamics issues, and lack of preparation for the international trips were a portion of the problems uncovered during discovery research. Based on that research, in order to redesign the LearnServe Abroad program, we utilized the Hybrid Expeditionary Service-Learning (HESL) model -- a new service-learning model that employs an expeditionary learning design and embeds both the classes and service of the service-learning program within learning expeditions. The paper highlights how and why the research synthesis and design principle outcomes led to the HESL model, and how it was used to redesign the LearnServe Abroad program. We demonstrate how the expeditionary learning model reinforces the service-learning and the service-learning model reinforces the expeditionary learning for the new LearnServe Abroad prototype. [ABSTRACT FROM AUTHOR]

This book covers the food question worldwide in terms of its sustainability and the environmental changes, which are arising. The papers are arranged in four parts, Greening Food Supply, Greening Food Demand, Greening Food Waste, and Conserving Land and Sea to Support Food Security. The present system of I subsidies i will have to be progressively reformed into one of I incentives i which may be possible in countries where industrial agriculture and large-scale farming occur with a small workforce. [Extracted from the article]

Recent years have seen increased attention to and motivation for addressing sexual violence. Physician sexual misconduct (PSM) represents a significant violation and abuse of power, with consequences for both patients and public trust in medicine. In the United States, the Federation of State Medical Boards released updated policies in 2020 imploring increased transparency and stronger punishments for PSM cases. This brief report presents an assessment of how transparent medical board websites are in disclosing PSM now 2 years after this policy paper. We reviewed the websites for all 50 states and Washington, DC, to examine how easily a consumer could find a list of board orders, profiles of licensees, and PSM case summaries. In total, 24 states provided a list of orders, and 21 states provided case summaries. Many barriers to finding clearly discussed PSM‐related information remain, including many outdated licensee profiles. Ideas for continued efforts to document and discuss PSM to help foster evidence‐based policy recommendations are presented. [ABSTRACT FROM AUTHOR]

Background: Identifying mechanisms to maintain CBPR studies during an infectious disease pandemic is vital. The current paper describes the changes in methods and processes conducted within a CBPR mixed-methods study to a virtual setting during the novel coronavirus (COVID-19) pandemic. Method: The DC Community Organizing for Optimal Culinary Knowledge study with Heart (DC COOKS with Heart) was designed to assess the feasibility of a dietary behavior intervention among African-American adults that are at risk for cardiovascular disease (CVD). The study is under the umbrella of an ongoing CBPR study and community advisory board that facilitates community involvement in study design and promotes ongoing engagement with community members and leaders. The study population for D.C. COOKS with Heart consists of adult African-American individuals who live in two low-resource neighborhoods in Washington, D.C., which were impacted disproportionately by COVID. Eligible study participants who previously participated in the DC CHOC community-based studies were contacted to participate in Phase 1. The quantitative part of the mixed-methods included survey data collection. Results: Due to the pandemic, the mode of data collection for surveys changed from self-administered face-to-face to internet-based. All virtual study procedures were conducted between March and April, 2021. Anticipated benefits of the virtual setting included participant safety during the pandemic, ease of logistics for participants. Anticipated challenges included administration of electronic devices to participants, research team training, and potential threats to established trust related to the privacy and confidentiality of participants. Conclusion: The transition to a virtual setting for study procedures in a mixed-methods study was conducted successfully in terms of recruitment, retention of participants, and training of research team members. The virtual transition required established and ongoing engagement through the community advisory board and CBPR practices, institutional support through virtual research policies, collaborations with information technology-based teams, and equipment administration for the study. Trials registration: NCT04305431. Registered on March 12, 2020. [ABSTRACT FROM AUTHOR]

Hyperspectral images (HSIs) contain notable information of land objects by acquiring an immense set of narrow and contiguous spectral bands. Feature extraction (FE) and feature selection (FS) as dimensionality (band) reduction strategies are performed to enhance the classification result of HSI. Principal component analysis (PCA) is frequently exploited for the FE of HSI. However, it often possesses the inability to extract local and subtle HSI structures. As such, segmented-PCA (SPCA), spectrally segmented-PCA (SSPCA) and folded-PCA (FPCA) are presented for local and useful FE from the HSI. In this paper, we propose two FE methods called segmented-FPCA (SFPCA) and spectrally segmented-FPCA (SSFPCA). SFPCA exploits SPCA and FPCA while SSFPCA exploits SSPCA and FPCA together. In particular, SFPCA and SSFPCA apply FPCA on highly correlated and spectrally grouped HSI bands, respectively. We consider nonlinear methods Kernel-PCA (KPCA) and Kernel entropy component analysis (KECA) for extended comparison. For the experimented agricultural Indian Pine and urban Washington DC Mall HSIs, the results manifest that SFPCA (95.6262% for the agricultural HSI and 97.4782% for the urban HSI) and SSFPCA (96.3221% for the agricultural HSI and 98.0116% for the urban HSI) outperform the conventional methods. [ABSTRACT FROM AUTHOR]

Accurate forecasting of soil moisture (SM) is crucial for managing the irrigation demands effectively. The dynamics of SM is largely controlled by interaction between land and atmosphere. As an alternate to physics based models, the machine learning based tools have been shown to yield better accuracy in forecasting SM. However, the complexity in the process that controls SM at largely varying scale (from small size porous media to continental level climate) influence the forecast to have uncertainty. Hence, this paper aims at developing a modelling framework for forecasting daily SM up to 5 days lead time along with associated uncertainty. In this modeling, the uncertainty in initial point estimates of artificial neural network (ANN) parameters are re-estimated in a probabilistic framework using Particle filter. In order to reduce the high dimensionality of such problems, most sensitive parameters of the ANN model were identified through Sobol's sensitivity analysis. The SM and weather data collected from the R.J. Cook Agronomy Farm experimental field near Pullman, Washington, USA were used to demonstrate the proposed method. The overall results of the models were highly encouraging in terms of having a Nash-Sutcliffe efficiency of more than 0.90 in calibration and validation. Further, the parametric uncertainty of ANN model parameters have helped quantifying the uncertainty in the SM forecast and found within acceptable limits. The proposed framework, in turn, helped providing useful information when the models are used in decision making supported with associated uncertainty information. [ABSTRACT FROM AUTHOR]

BACKGROUND: Return to learn (RTL) after mild traumatic brain injury (mTBI) presents unique challenges for school professionals. A multidisciplinary team approach is necessary yet training school professionals is logistically difficult. This paper describes an innovative pilot RTL program and its evaluation. METHODS: Utilizing the telehealth/telementoring program Project ECHO® (Extension for Community Healthcare Outcomes), this study utilized a multidisciplinary team of subject matter experts to deliver five 1‐hour sessions across 5 cohorts of school‐based professionals (total of 133 participants). The evaluation used a mixed‐methods approach of post‐session and post‐program participant surveys and post‐program participant focus groups. RESULTS: Participants who completed a post‐program survey reported statistically significant improvements in essential aspects of RTL knowledge and self‐efficacy. This included improvements in how to manage a student with an mTBI (44.8% to 86.9%), benefits of early return to school for students following mTBI (31.8% to 86.9%), and the importance of written RTL policies/procedures (55.1% to 97.1%). CONCLUSIONS: This study demonstrates that RTL training via a telementoring approach may be a positive and effective way to train school‐based professionals and improve knowledge and self‐efficacy, especially when attending face‐to‐face trainings are difficult. This model has the potential to produce programmatic and systematic improvements for RTL education. [ABSTRACT FROM AUTHOR]

This paper shows a visual analysis and the dependence relationships of COVID-19 mortality data in 50 states plus Washington, D.C., from January 2020 to 1 September 2022. Since the mortality data are severely skewed and highly dispersed, a traditional linear model is not suitable for the data. As such, we use a Gaussian copula marginal regression (GCMR) model and vine copula-based quantile regression to analyze the COVID-19 mortality data. For a visual analysis of the COVID-19 mortality data, a functional principal component analysis (FPCA), graphical model, and copula dynamic conditional correlation (copula-DCC) are applied. The visual from the graphical model shows five COVID-19 mortality equivalence groups in the US, and the results of the FPCA visualize the COVID-19 daily mortality time trends for 50 states plus Washington, D.C. The GCMR model investigates the COVID-19 daily mortality relationship between four major states and the rest of the states in the US. The copula-DCC models investigate the time-trend dependence relationship between the COVID-19 daily mortality data of four major states. [ABSTRACT FROM AUTHOR]

In the work of Deleuze and Guattari, the diagram is a concept that maps the power relations inscribed within the regulatory apparatuses of everyday life, such as schools, social norms, the law, etc. The diagram is the map of forces that make these apparatuses run, and cause them to tend to produce certain outcomes, to the exclusion of others. This paper explores performance as a diagrammatic medium, in that performance schematizes and models the world and the forces of power that make it. Building on Rebecca Schneider's work, the example of American Civil War re-enactment is used to think about the slippage between repetition and difference in the acting-out of quintessentially American themes, both in performance, and in contemporary politics. Can historical re-enactment be a form of psychodrama or political education? Or are Civil War re-enactments echoes of a quintessential, enduring American wish for 'redemptive violence, for domination and a return to a mythic past' (Robcis 2021: 146) that also resonates, for instance, in the 6 January Capitol attack? If the nation tends toward a (compulsive?) repetition of relations of enslavement, domination and violence (while fixating on rhetoric of freedom, liberty and justice) then it is important to ask how, and if, this diagram might be repeated differently within a performative space of play and fantasy. [ABSTRACT FROM AUTHOR]

Corporate lobbyists play a vital role in the Corporate Political Activity process. They act as a mediator between corporations and politicians when firms engage in lobbying activities. Firms value professional lobbyists for their connections in Washington and their knowledge of the political process. While previous Corporate Political Activity research on lobbying has focused primarily on the amount of money firms spend on lobbying, including antecedents of lobbying and outcomes, very little research has examined lobbyists' individual differences and how those influence important outcomes. In this paper, we examine how lobbyists' specialization and experience as both a lobbyist and a former politician can influence the number of bills lobbied on passed into law. Using a sample of corporate lobbyists who were hired by S&P 500 firms, we look at 8,630 lobbyist's careers from 2005–2016. We find that lobbyists lower in specialization are more likely to lobby on bills which are eventually passed into law than highly specialized lobbyists. We also find that social capital moderates the relationship between specialization and lobbying effectiveness. These results suggest that while corporate political activity spending is important, both scholars and firms should also understand who firms are hiring to lobby for them and how differences in lobbyist specialization might influence firm effectiveness in the nonmarket arena. [ABSTRACT FROM AUTHOR]

Purpose. The purpose of this paper is to present a research concerning user tagging of literary texts. The research was conducted with the aim to determine the peculiarities of the folksonomic approach to literature tagging and thematic informativity of user tags assigned to literary works of art, and to compare them with the subject heading terms from library catalogs and present the considerable potential of folksonomy in improving the traditional approach to constructing and assigning subject headings for works of fiction. Approach/methodology/design. The first section of the paper presents the basic theoretical elements of content analysis from the viewport of librarian classification, subject analysis and user tagging. The second section depicts the research results of the user tags, conducted in two phases - first, the user tag analysis on a linguistic, functional and semantic levels and then the comparison of the tags to subject headings collected from the online library catalogues. Results. The research has revealed that user tags possess a greater thematic informativity than subject headings assigned by experts and as such may serve as a good foundation for the improvement of traditional systems for content analysis of literary works. Research limitations. The research part of the paper was conducted on the author's selection of literary works and the collection of corpora of tags from the online catalogues of the National and University Library in Zagreb, the Zagreb City Library, the Library of Congress in Washington DC and the "LibraryThing" network system. Practical implications. The research can serve as an initial step for further studies of content analysis of literary works in library systems, and as a first step towards their improvement in order to provide the best possible search results for literary and artistic texts. Social implications. The results of the research imply the possibility of involving a nonlibrarian reading community and their direct contribution to the development of library systems. Originality. The paper presents a research that, for the first time in one place, shows a comparison of user tags for the prose, dramatic and poetic literary works of art with the subject headings from library catalogs. [ABSTRACT FROM AUTHOR]

National forest roads allow access to public lands providing connections to natural and cultural heritage. Planning processes that address potential road closures or conversions can be highly contentious. Public participatory GIS (PPGIS) has been used as a tool to gather information for environmental planning and decision-making. Our PPGIS approach in a national forest in Washington (USA) incorporated workshops and online engagement with 1,810 participants to gather public input for sustainable roads planning. We identified the most important forest destinations and developed an analytical framework for assessing forest roads based on the density and diversity of use. In this paper, we summarize our PPGIS process and identify challenges faced in the application of socio-spatial data. A comparative analysis of road planning in other forests further highlights challenges in incorporating public use data. While the PPGIS process was valued for relationship-building, it is less evident how directly the socio-spatial data informed outcomes. [ABSTRACT FROM AUTHOR]

Hyperspectral unmixing (HSU) is a crucial method to determine the fractional abundance of the material (endmembers) in each pixel. Most spectral unmixing methods are affected by low signal-to-noise ratios because of noisy pixels and bands simultaneously, requiring robust HSU techniques that exploit both 3D (spectral–spatial dimension) and 2D (spatial dimension) domains. In this paper, we present a new method for robust supervised HSU based on a deep hybrid (3D and 2D) convolutional autoencoder (DHCAE) network. Most HSU methods adopt the 2D model for simplicity, whereas the performance of HSU depends on spectral and spatial information. The DHCAE network exploits spectral and spatial information of the remote sensing images for abundance map estimation. In addition, DHCAE uses dropout to regularize the network for smooth learning and to avoid overfitting. Quantitative and qualitative results confirm that our proposed DHCAE network achieved better hyperspectral unmixing performance on synthetic and three real hyperspectral images, i.e., Jasper Ridge, urban and Washington DC Mall datasets. [ABSTRACT FROM AUTHOR]

This paper examines to what extent household surveys and censuses in low- and middle-income countries include disability questions and the types of questions under use. We found that only 31% of 734 datasets between 2009 and 2018 from 133 low- and middle-income countries have at least one disability-related question. Of the surveys reviewed, 15% of the datasets have functional difficulty questions that meet international standards, i.e. Washington Group short set or other functional difficulty questions. Meanwhile, the most asked disability question "Do you have a disability?" is problematic as it does not produce meaningful and internationally comparable data. We recommend the adoption of functional difficulty questions for all surveys and censuses to track the progress of the implementation of the 2030 Agenda for Sustainable Development as well as the Convention on the Rights of Persons with Disabilities. [ABSTRACT FROM AUTHOR]