Population Density Levels Research Articles

Gridded Grazing Intensity Based on Geographically Weighted Random Forest and Its Drivers: A Case Study of Western Qinghai–Tibetan Plateau

ABSTRACTOvergrazing affects the grass‐livestock balance and endangers grassland ecological security. Despite extensive studies conducted on identifying and quantifying grazing intensity, there is still room for improvement in the research on gridding grazing intensity, particularly in areas with limited data on the Qinghai–Tibet Plateau. Therefore, we proposed a grazing intensity spatialization method using geographically weighted random forest (GWRF) to gain further insights into the spatial heterogeneity of alpine grassland grazing intensity. This method incorporates multiple remote sensing data related to human activities and natural factors, as well as annual livestock statistics at the township level over several years, while adequately considering the spatial autocorrelation of grazing intensity. Additionally, we employed Lindeman Merenda Gold (LMG), the geographical detector model, and the structural equation model (SEM) to assess the contribution and influence path of driving factors to grazing intensity. We also utilize partial correlation analysis and dual‐phase mapping to examine the impact of natural and human activities on the spatial distribution of grazing intensity. The results demonstrate that the GWRF‐based grazing intensity spatial model accurately predicts grazing intensity by demonstrating its consistency with township‐scale livestock data (R 2 = 0.92 (p < 0.01), RMSE = 1.07). This provides valuable technical support for quantifying grazing intensity in alpine pastoral areas with limited data availability. We evaluate trends in grazing intensity and observe an increase in Gar and Purang counties. Furthermore, population density, normalized difference vegetation index (NDVI), and temperature are identified as three influential factors affecting grazing intensity in alpine pastoral areas. Additionally, other factors indirectly impact grazing intensity by influencing population density and NDVI levels, while their interactions amplify their overall influence. The dual‐phase mapping technique has demonstrated a significant impact of population density on 45.92% (p < 0.01) of the study area, emphasizing the substantial influence of human activities on grazing intensity. Our study provides a novel framework for spatially analyzing grazing intensity and unraveling the intricated driving mechanisms behind spatiotemporal changes, particularly in areas with limited data availability.

Rainfall events and daily mortality across 645 global locations: two stage time series analysis

ObjectiveTo examine the associations between characteristics of daily rainfall (intensity, duration, and frequency) and all cause, cardiovascular, and respiratory mortality.DesignTwo stage time series analysis.Setting645 locations across 34 countries or regions.PopulationDaily...

Analyzing the spatial scale effects of urban elements on urban flooding based on multiscale geographically weighted regression

In the context of rapid urbanization and the frequent occurrence of extreme rainfall in cities, the risk of flooding in the future will further increase, and the problem of urban flooding cannot be ignored. Urban elements exhibit significant spatial heterogeneity, which largely determines the spatial distribution differences in urban flooding. Therefore, it is important to clarify the scale of influence of different urban elements and explore their scale effects on urban flooding to accurately assess the risk of urban flooding. Taking Zhengzhou City, China, as the study area, this study analyzed the urban elements associated with urban flooding, quantified the scale of the influence of urban elements on flooding using multiscale geographically weighted regression (MGWR), and further explored the spatial scale effects of urban elements on urban flooding. The results showed that MGWR can better fit the spatially non-uniform distribution of urban flooding and that the scale of the influence of urban elements on urban flooding can be reflected by the bandwidth of MGWR. The results of MGWR indicated that the bandwidths of elevation, number of drainage outfalls (NDO1Abbreviations: RRP, Rainfall return period; DDR, Distance to river; NDO, Number of drainage outfalls; ILMFCP, Input level of materials for flood control projects; PRL, Proportion of residential land; PCL, Proportion of commercial land; PIL, Proportion of industrial land; PPSL, Proportion of public service land; PRA, Proportion of road area; PGL, Proportion of green land; PD, Population density; MI, Manpower input; GDP, Gross domestic product; ILER, Investment level in education and research.1), distance to river (DR), Gross domestic product (GDP), proportion of residential land (PRL), and proportion of commercial land (PCL) were small, and their influence scales were localized. In contrast, the influence of rainfall return period (RRP), slope, proportion of industrial land (PIL), proportion of public service land (PPSL), proportion of road area (PRA), proportion of green land (PGL), input level of materials for flood control projects (ILMFCP), population density (PD), manpower input (MI), and investment level in education and research (ILER) were at global scales. The most influential factors for urban flooding were RRP, PD, and MI. Slope, DR, and PRA had less influence on urban flooding. This study helps improve the effectiveness of urban flood prevention and mitigation efforts.

Jacobian-free Newton-Krylov method for multilevel nonlocal thermal equilibrium radiative transfer problems

Context. The calculation of the emerging radiation from a model atmosphere requires knowledge of the emissivity and absorption coefficients, which are proportional to the atomic level population densities of the levels involved in each transition. Due to the intricate interdependence of the radiation field and the physical state of the atoms, iterative methods are required in order to calculate the atomic level population densities. A variety of different methods have been proposed to solve this problem, which is known as the nonlocal thermodynamical equilibrium (NLTE) problem. Aims. Our goal is to develop an efficient and rapidly converging method to solve the NLTE problem under the assumption of statistical equilibrium. In particular, we explore whether the Jacobian-Free Newton-Krylov (JFNK) method can be used. This method does not require an explicit construction of the Jacobian matrix because it estimates the new correction with the Krylov-subspace method. Methods. We implemented an NLTE radiative transfer code with overlapping bound-bound and bound-free transitions. This solved the statistical equilibrium equations using a JFNK method, assuming a depth-stratified plane-parallel atmosphere. As a reference, we also implemented the Rybicki & Hummer (1992) method based on linearization and operator splitting. Results. Our tests with the Fontenla, Avrett and Loeser C model atmosphere (FAL-C) and two different six-level Ca II and H I atoms show that the JFNK method can converge faster than our reference case by up to a factor 2. This number is evaluated in terms of the total number of evaluations of the formal solution of the radiative transfer equation for all frequencies and directions. This method can also reach a lower residual error compared to the reference case. Conclusions. The JFNK method we developed poses a new alternative to solving the NLTE problem. Because it is not based on operator splitting with a local approximate operator, it can improve the convergence of the NLTE problem in highly scattering cases. One major advantage of this method is that it is expected to allow for a direct implementation of more complex problems, such as overlapping transitions from different active atoms, charge conservation, or a more efficient treatment of partial redistribution, without having to explicitly linearize the equations.

Sexual Minority Athletes Between Concealment and Disclosure: A Multilevel Perspective on Coming Out in Sport

Abstract Introduction Sexual orientation disclosure is a complex, multifaceted process and has not yet been sufficiently explored with regard to LGB + athletes. Methods Based on a multilevel model for understanding sexual minority athletes’ (SMA) experiences in sports, we adopt a mixed-method approach, analysing data from a European survey conducted in 2018 with 1749 LGB + athletes to identify factors that influence the decision of disclosure in sports. Results Multivariate analyses include factors at the macro level (legal situation, population density and gender-typing of sport), meso level (composition of friendships, type of sport and performance level) and micro level (age, sexual orientation, education level and athletic capital). The analysis shows that sexual orientation disclosure is less likely when respondents were younger, had a bisexual or other sexual orientation (compared to lesbian or gay), lower athletic abilities, fewer non-heterosexual friends, participated in individual sports (rather than in team sports) and lived in a country with less inclusive LGB + laws and regulations. Responses to open-ended survey questions highlight the relevance of inclusive sport contexts in terms of trust, safety and LGB + visibility. Conclusions Coming out in sports is influenced by manifold factors on macro, meso and micro levels, and only few of them have gender impact. Policy Implications Policymakers, administrators, coaches, and teammates are relevant stakeholders in sports to establish an environment of trust and safety that eventually leads to an upward spiral of LGB + visibility and the coming out of other SMA.

Current status of white mango scale (Aulacaspis Tubercularis Newstead) and associated factors in Assosa district western Ethiopia

White mango scale (Aulacaspis tubercularis Newstead; Hemiptera: Diaspididae) is a major insect pest of mango production threatening production and marketing of mango in Ethiopia. The present study was conducted to determine the current status of the white mango scale (WMS) and to identify the factors contributing to the damage level of the pest. A cross-sectional survey was conducted in ten selected kebeles in Assosa district, western Ethiopia, during 2021/2022 cropping season. Data on infestation level and WMS life-stage abundance were recorded from fifty randomly selected mango orchards. Data on the prevalence of WMS and factors influencing the distribution and damage levels of white mango scale infestations were analyzed using SAS and SPSS software respectively. The results of this study indicate that WMS infestation was prevalent in all assessed mango growing areas of the district. There was a significant (p < 0.05) difference between kebeles and mango orchards in infestation level and WMS life-stage population densities. Poor cultivation, crop husbandry practices, and pest management strategies have been identified as the major contributing factors for high pest infestation. The study indicates that WMS infestations are increasing in the study area; thus, there has to be strong efforts towards the implementation of safe and effective management strategies.

The heat-mortality association in Jordan: Effect modification by greenness, population density and urbanization level

BackgroundThe Middle East is one of the most vulnerable regions to the impacts of climate change, yet evidence of the heat-related mortality remains limited in this area. Our present study investigated the heat-mortality association in Jordan and the potential modifying effect of greenness, population density and urbanization level on the association. MethodsFor each of the 42 included districts, daily meteorological and mortality data from 2000 to 2020 were obtained for the warmest months (May to September). First, a distributed lag non-linear model was applied to estimate the district level heat-mortality association, then the district specific estimates were pooled using multivariate meta-regression models to obtain an overall estimate. Last, the modifying effect of district level greenness, population density and urbanization level was examined through subgroup analysis. ResultsWhen compared to the minimum mortality temperature (MMT, percentile 0th, 22.20 °C), the 99th temperature percentile exhibited a relative risk (RR) of 1.34 (95 % CI 1.23, 1.45). Districts with low greenness had a higher heat-mortality risk (RR 1.39, 95 % CI 1.22, 1.58) when compared to the high greenness (RR 1.28, 95 % CI 1.13, 1.45). While heat-mortality risk did not significantly differ between population density subgroups, highly urbanized districts had a greater heat-mortality risk (RR 1.41, 95 % CI 1.23, 1.62) as compared to ones with low levels of urbanization (RR 1.32, 95 % CI 1.13, 1.55). Districts with high urbanization level had the highest heat-mortality risk if they were further categorized as having low greenness (RR 1.63, 95 % CI 1.30, 2.04). ConclusionExposure to heat was associated with increased mortality risk in Jordan. This risk was higher in districts with low greenness and high urbanization level. As climate change-related heat mortality will be on the rise, early warning systems in highly vulnerable communities in Jordan are required and greening initiatives should be pursued.

Integrating vertical farm into low-carbon high-rise building in high-density context: A design case study in Hong Kong

Today's world faces multiple challenges, including climate change, biodiversity loss, and food security. In addition, in the post-pandemic era, there is an urgent need to re-design urban habitats to reduce the epidemic's enduring impacts and reconnect citizens with healthy community activities. As a city with the top population density level in the world, Hong Kong is home to many high-rise communities. This article took the architectural design competition “Green Tower Hong Kong” as an entry point to discuss the technical feasibility and design strategies of integrating high-rise residential buildings with urban agriculture to improve urban food security, enhance on-site solar energy utilization, and develop a sustainable residential environment conducive to low-carbon living and working. The issue of how to improve the dietary structure of Hong Kong residents and reconnect them through space design was focused. Finally, taking the site of Kwun Tong Center as the case study, a resilient residential high-rise building integrated with shared gardens and greenhouses was proposed with a technical-oriented methodology and optimization framework. The final design of mixed-use buildings can provide apartments for 2500 individuals, produce 340,750 kg of vegetables with 156 % self-sufficiency, and generate electricity of 1,080,000 kWh annually. This paper examines strategies for integrating urban agriculture into high-rise residential buildings in high-density urban environments. It proposes a technology-based design optimization method, offering a reference for future explorations of low-carbon, resilient communities.

Studi pertumbuhan dan evaluasi parameter tumpangsari kubis bunga (Brassica oleracea L.) dengan tanaman legum

This research aims to determine the growth and evaluate the parameters of Cauliflower (Brassica oleracea L.) planted with several legume plants at different levels of plant density. The research was conducted in Telukjambe Village, East Telukjambe District, Karawang Regency in December 2022 – March 2023. The research used an experimental method with a single-factor Randomized Group Design (RAK) with 3 sets of experimental designs, each consisting of 5 proportion treatments. inter-cropping and repeat 5 times. The treatment given is; K1= 100% cauliflower , K2= 25% cauliflower + 75% legumes, K3= 50% cauliflower + 50% legumes, K4 = 75% cauliflower + 25% legumes, K5= 100% legumes. The first set of experimental designs is a system of inter-cropping cauliflower with soybeans, the second experimental set is a system of inter-cropping cauliflower with peanuts and the third experimental set is a system of inter-cropping cauliflower with green beans. The research results were analyzed using the F test at a level of 5% and a Least Significant Difference (BNT) further test at a level of 5%. The results showed that inter-cropping of cauliflower and soybeans (experimental set 1) provided beneficial results compared to inter-cropping with peanuts and green beans. The results can be seen from the LER and RCC values for all proportions of planting number or plant population density levels &gt; 1. The highest LER and RCC values for inter-cropping cauliflower and soybeans (experimental set 1) were shown in the K3 treatment (50% Cauliflower + 50% Soybeans) namely 1.49 and 10.8.

An empirical analysis of the coupling and coordinated development of new urbanization and ecological welfare performance in China’s Chengdu–Chongqing economic circle

New urbanization (NU) and ecological welfare performance (EWP) play pivotal roles in achieving sustainable urban development, with both emphasizing social equity and environmental management. Exploring the coordinated relationship between EWP and NU is invaluable for understanding the symbiotic interplay between humans and nature. We constructed a framework to elucidate the coupling mechanism of EWP and NU from the perspective of systems theory. We quantified the levels of NU and EWP utilizing the entropy weighting method and the super-efficient SBM method, respectively. Furthermore, we assessed the degree of coupling coordination between the two using the coupling coordination degree model (CCDM). Spatial and temporal evolution analysis was conducted, and factors influencing the degree of coupling coordination between EWP and NU were explored through a spatial–temporal geographically-weighted regression model (GTWR). The results indicate: (1) During the study period, the average annual increase in EWP in the study area was 2.59%, with a narrowing relative gap between cities. Conversely, the average annual increase in the level of NU was 7.6%, with demographic and economic dimensions carrying the highest weights. (2) The type of coupling coordination between EWP and NU transitions from basic coordination to moderate coordination, with the development of EWP lagging behind that of NU. (3) City size demonstrates a positive yet diminishing trend on the coupling coordination level, with economic development exerting the greatest influence and exhibiting a "V" trend, while the impact of green technology innovation diminishes negatively. Additionally, regional disparities are significant, with city size exhibiting a negative impact in areas of high population density and low economic levels, and green technology innovation showing notable polarization characteristics in core cities. These findings serve as a foundation for fostering coordinated ecological development amid the rapid urbanization process of the Chengdu–Chongqing Economic Circle.

INTER-REGIONAL POVERTY DISPARITIES IN JAVA, INDONESIA: AN ANALYSIS OF KEY INFLUENCING FACTORS (2010-2020)

This study seeks to investigate the evolution of poverty in Java from 2010 to 2020, as well as the regional factors that contributing to disparities in poverty between regions. The results of the analysis indicate a downward trend in the number and proportion of poor people on the island of Java but a rise during the COVID-19 pandemic. There are regional distribution groups with high and low poverty rates. The results of the ANOVA reveal significant differences in the occurrence of urban poverty on the island of Java based on province and regional status but not by zone. Positively and negatively, the majority of the predictors have a very significant relationship with poverty. Six regional variables (level of consumption (expenditure), level of health (life expectancy), income per capita, level of education (number of years of schooling), population density (people/km2), and economic potential (GRDP at current prices)) account for 68.10% of the variation in the number of poor people in Java, while the remaining 31.9% is determined by other variables. The model of variation in Java's poverty is determined by three variables: per capita income, GRDP, and public consumption level.

The spatiotemporal evolution and impact of green land use efficiency in resource-based cities in the yellow river basin under the background of sustainable development

Introduction: With the rapid advancement of industrialization and urbanization in the Yellow River Basin, the number of resource-based cities is constantly increasing, leading to an imbalance in land use structure and the gradual worsening of adverse effects such as damage to the ecological environment. Hence, improving the efficiency of green land use in resource-based cities has extremely crucial ecological and practical meaning for sustainable development.Methods: This study comprehensively considers interdisciplinary theories such as ecology and management, and combines the actual situation of resource-based cities in the Yellow River Basin to construct a new type of urban field green utilization efficiency assessment index system. To promote the coordinated development of different dimensions, the corresponding spatiotemporal evolution process and related influencing factors were also analyzed. Results and discussion: The research results indicate that the overall spatial evolution of the Yellow River Basin has active correlation. During the period from 2006 to 2022, the number of high value agglomeration cities in upstream resource-based cities increased by nearly 25%; Nearly 3% of resourcecities exhibit low-value heterogeneity, while the number of resource cities with low value agglomeration has decreased to 0. In addition, population density and scientific education expenditure level are key factors affecting the ratio of green land use in resource-based cities, while the impact of economic indicators is gradually decreasing. In summary, the assessment indicator system for urban land green utilization ratio proposed in the study is more comprehensive, and the spatial distribution results of influencing factors can provide a solid data foundation for decision-makers.

Quantyfing the impact of the water security index on socio-economic development in EU27

The issue of environmental security in the context of sustainable development is a highly topical one, being intensively studied by specialists both in terms of its impact on biodiversity and on the protection of non-renewable resources, and in terms of its economic and social impact. The authors aim to quantify the impact of water security on economic and social development based on a new structural equation model and identify changes in the latent variable Water Security Index. (WSI), economic development (ED) and social development (SD) dynamics over the period 2000–2022 for the 27 EU Member States. The methodology is based on the use of structural equation systems and the use of the Independent-Samples Kruskal-Wallis Test to identify the influences of water security measures on economic and social indicators and to assess regional disparities of environmental policy development in relation to economic and social development. The research results will highlight the level of homogeneity of regional water security clusters in Europe and the influence of this approach on economic and social disparities. The results of the study highlight the significant correlation between population density, pollution levels and the costs associated with maintaining water quality. The study shows that high population density and high pollution levels disproportionately increase the financial burden of water quality management. In addition, the analysis highlights the social ramifications of neglecting the sustainability of water sources, particularly in regions experiencing low economic growth. In such scenarios, the negative social impact intensifies, highlighting the importance of sustainable practices. The results allow the formulation of the following public policies: Standardization of the national water quality management framework in line with the European framework; Establishment of organizations to monitor the safety of water sources and the health of the local population; Continuation of innovations in the field of water environment protection; Promotion of social responsibility towards the aquatic environment; Continuation of the process of improving water management governance. The results are useful for economic, environmental and social policy makers to optimise European sustainable development strategies.

The role of Hymenoptera parasitoids as mortality factors of Silba adipata McAlpine on cayenne pepper plants: parasitism and distribution patterns

Silba adipata (Diptera: Loncaeidae) is a new species that attacks white cayenne pepper in Bali. The research aimed to explore the role of these three types of parasitoids. New variables that have never been used before include spatial and altitudinal distribution patterns, the relationship between the level of parasitism and the level of population density of A. adipata according to plant phenology, and the level of parasitization of parasitoids on hosts at various altitudes in Bali, Indonesia. This research was carried out from April to July 2021 using a survey method in which samples were taken purposively from sample plants. The three parasitoids were distributed in all districts, except F. arisanus and A. japonica which were not found in Denpasar and Jembrana. Three parasitoid species play a role in controlling S. adipata in Bali Indonesia, namely A. japonica, F. arisanus, and D. longicaudata. Among the three parasitoids, A. japonica was most dominant at altitudes >750-1000 MASL, while F. arisanus at altitudes >500 - >1000 MASL and D. longicaudata at altitudes >250-500 MASL. The population densities of the three parasitoids were densely associated with S. adipata populations. The parasitoid that most effectively controls S. adipata in the field is F. arisanus.

PERKEMBANGAN PERMUKIMAN KUMUH LIAR (STUDI KASUS DUKUH KALISARI DESA BANYUDONO KEC. BANYUDONO KAB. BOYOLALI)

The problem of slum organizations begins with various interrelated variables, including education level, population density level, building density level, income and poverty level. Illegal slum settlements are defined as organizations that experience a decline in housing function with illegal land ownership status or not land with Ownership Rights Status. This research aims to (1) Analyze the development of slum organizations of liars in Kalisari Hamlet, Banyudono Village, Banyudono District, Boyolali Regency in 2012, 2017 and 2022; (2) Find out the level of slum organization of liars in Kalisari Hamlet, Banyudono Village, Banyudono District, Boyolali Regency; and (3) Analyze the incidence of fraudulent slum organizations in Kalisari Hamlet, Banyudono Village, Banyudono District, Boyolali Regency. The research method used in this research is the case study method. In this research, the development of illegal slum organizations is analyzed through the development of the number of house occupants and the number of house rooms whose changes are analyzed in 2012-2017 and 2017-2022. The level of slums is determined using the 3x3x3 method, then from the level of slums the appropriate treatment can be identified based on the main problems in the slum organization area. Dukuh Kalisari developed into a fraudulent slum organization due mainly to errors in government policy, the legality of the land occupied by residents, and the condition of the organization located along the river.

Integrating social vulnerability into high-resolution global flood risk mapping

High-resolution global flood risk maps are increasingly used to inform disaster risk planning and response, particularly in lower income countries with limited data or capacity. However, current approaches do not adequately account for spatial variation in social vulnerability, which is a key determinant of variation in outcomes for exposed populations. Here we integrate annual average exceedance probability estimates from a high-resolution fluvial flood model with gridded population and poverty data to create a global vulnerability-adjusted risk index for flooding (VARI Flood) at 90-meter resolution. The index provides estimates of relative risk within or between countries and changes how we understand the geography of risk by identifying ‘hotspots’ characterised by high population density and high levels of social vulnerability. This approach, which emphasises risks to human well-being, could be used as a complement to traditional population or asset-centred approaches.

Interactions between Noctiluca scintillans and Three Co-Occurring Microalgae in Response to Varying Nutrient Levels

The dinoflagellate Noctiluca scintillans is a globally distributed bloom-forming species. Previous studies have shown that the primary reason for the frequent occurrence of N. scintillans blooms may be the proliferation of microalgae due to eutrophication, which provides a sufficient source of food. Meanwhile, N. scintillans may release nutrients into the environment, thus affecting the population dynamics of microalgae. Thus, to investigate the interaction between N. scintillans and co-occurring microalgae, this study examined the population dynamics of N. scintillans and their interaction with three representative microalgae species in response to varying nutrient levels. The findings indicate that the growth of N. scintillans is slow when co-cultured with diatom Skeletonema costatum. Moreover, a high density and rapid growth rate of S. costatum may have an inhibitory effect on the growth of N. scintillans. Conversely, the population abundance of N. scintillans increased with the rise in the population density and nutritional level of Heterocapsa steinii (dinoflagellate) and Heterosigma akashiwo (raphidophyceae). Notably, N. scintillans can discharge specific nutrients into the aquatic environment, which can subsequently be assimilated and exploited by H. steinii. Thus, the interaction between the species and population dynamics of plankton, as well as changes in nutrient levels within the ecosystem, played a significant role in influencing the growth and population dynamics of N. scintillans. The mutualistic association between N. scintillans and microalgae may establish a transient closed loop, thereby fostering the sustained proliferation and subsequent expansion of N. scintillans.

Abstract 2155: The impact of urban residence on symptom duration, treatment initiation, and survival among primary brain tumor patients: A large cohort analysis

Abstract Primary brain tumors (PBT) are rare, accounting for less than 2% of all cancers, present acutely, and often require specialized care to determine treatment approaches. Neuro-Oncology clinics are located in densely populated urban areas resulting in additional access barriers, such as longer travel time, for those in non-urban areas. To better understand how proximity to our facility affects patient outcomes among PBT patients enrolled in the National Institutes of Health (NIH) Natural History Study (NCT02851706, PI: Armstrong), we assessed the association of population density with symptom duration before diagnosis, time to first treatment, and overall survival among a cohort of 666 adult PBT patients. More urbanized areas were defined as areas with a core population density of more than 1,000 persons per square mile. T-tests and chi-squared tests were performed to assess differences in patient and tumor characteristics based on population density (more urbanized vs. less urbanized). We used ordinal logistic regression (odds ratio [OR], 95% confidence intervals [CI]) to assess the association between duration of presenting symptoms (&amp;lt;6 months, 6 months-1 year, ≥1 year) and linear regression (beta coefficient, 95% CI) for time to treatment and population density. We adjusted for age at cancer diagnosis and sex (male, female), and results were stratified according to residential distance to the NIH (short distance=&amp;lt;200 miles, long distance=200+ miles), to control for local referral patterns. Kaplan-Meier estimates were used to assess overall survival by population density levels, overall, and by residential distance. All models were then further stratified by tumor grade (low, high). Among 666 patients diagnosed with PBTs, 401 (60%) lived in more urbanized areas, 40% were long distance, and 24% had low-grade tumors. Patients living in more urbanized areas were more racially diverse (p&amp;lt;0.001), had higher educational attainment (p&amp;lt;0.001), and were more likely to be single (p=0.008). In the overall cohort and when stratified by distance to NIH or tumor grade, there were no associations between population density level and symptom duration prior to diagnosis. Time to treatment for radiation and chemotherapy was longer for PBT patients living in less urbanized areas and longer distances from the NIH (β=0.63; 95%CI=0.08,1.17) compared to those living in more urbanized areas. There were no differences in the 5-year survival rates between more or less urbanized groups. In conclusion, access to care for those in less urbanized areas was demonstrated, although survival was not impacted. Future consideration should be given to novel approaches to increase access to specialized care, particularly for PBT patients living further from urban areas. Citation Format: Macy L. Stockdill, Jacqueline B. Vo, Orieta Celiku, Zuena Karim, Yeonju Kim, Hope Miller, Elizabeth Vera, Terri S. Armstrong. The impact of urban residence on symptom duration, treatment initiation, and survival among primary brain tumor patients: A large cohort analysis [abstract]. In: Proceedings of the American Association for Cancer Research Annual Meeting 2024; Part 1 (Regular Abstracts); 2024 Apr 5-10; San Diego, CA. Philadelphia (PA): AACR; Cancer Res 2024;84(6_Suppl):Abstract nr 2155.

Local religiosity and financial advisor misconduct

We find that local religious social norms mitigate professional misconduct by financial advisors. Using publicly disclosed misconduct data, we find that financial advisors working in areas with greater religious participation are less likely to violate ethical standards. When advisors move to counties with greater religious participation, their misconduct rates decrease. The effect of local religiosity is robust across population density levels, misconduct types, and market conditions. We strengthen identification by using shocks to religious participation following local disclosures of sexual abuse by Catholic priests. The findings show that local religiosity restrains misconduct not only in previously studied corporate financial settings but also when professionals provide financial services to individuals and households.

Determinants of Rural Financial Inclusion in India: A Short Note using the AIDIS 2019

"The present study utilizes the latest All India Debt &amp; Investment Survey released in 2019 to examine the factors shaping rural financial inclusion across 28 selected states of India. A fresh set of socio-economic factors are incorporated into the analysis of financial inclusion determinants identified through a rigorous review of literature. Rural asset ownership including land, rural wealth inequality, education, rural population density, and rural unemployment are located as the key determinants. Elasticities of financial inclusion, measured from a deposit perspective, concerning these variables are worked out using a loglog regression model. The study found that improvements in the level of wealth ownership, education, and population density can promote rural financial inclusion. However, inequality in distribution of rural wealth, higher land ownership amongst indebted households, and higher rural unemployment worsens financial inclusivity in rural India. Furthermore, results show considerable robustness across gender-based inclusion measures; though, the size of the estimated elasticities differs across genderspecifications of financial inclusi"