Low-density Areas Research Articles

Dynamic computed tomography manifestations of simulated wooden foreign bodies in blood-saline mixtures with variable concentrations and retention times

Diagnosing wooden foreign bodies (WFBs) using computed tomography (CT) is often missed, leading to adverse outcomes. This study aims to reduce misdiagnoses by exploring the density variation of blood-saline mixtures in ex vivo models. Twenty Cunninghamia lanceolata sticks, selected as WFB models, were randomly assigned to five groups: a control group (saline) and four experimental groups immersed in blood-saline mixtures with varying concentrations. The samples were then placed in a constant-temperature water bath at 36.8 °C. CT scans were performed in the lowest and highest density areas, and the volume of the low-density areas was measured at the post-processing workstation. Finally, the effects of time and concentration on imaging were analyzed, and fitting curves were generated. The blood-saline mixture concentration and time significantly affected the CT number in the three areas. WFB images changed dynamically over time, with two typical imaging signs: the bull's-eye sign on the short axis images and the tram line sign on the long axis images. Fitting curves of the CT number in the lowest density areas with different concentrations can quantify imaging changes. The CT number of the lowest density areas increased with time, following a logarithmic function type, while the CT number of the highest density areas exhibited a fast-rising platform type. The volume of the low-density areas decreased over time. The time of damage caused by WFBs and the influence of varying blood and tissue fluid contents at the damaged site should be considered in the diagnosis. Imaging changes from multiple CT scans at different times can aid in diagnosis.

Overview of dermatologic tele-expertise in areas of low physician density: A retrospective study at Le Mans general hospital

BackgroundIn areas of low physician density, especially as regards dermatologists in France, there is an increasing interest in tele-expertise. This is particularly the case in the Sarthe department, where the number of physicians continues to decline and access to care was further limited by the COVID 19 epidemic. Study designWe retrospectively collected data from tele-expertise requests submitted to Le Mans General Hospital by general practitioners via a dedicated platform between May 6, 2019, and April 9, 2021. ResultsSix hundred and forty three requests relating to 90 different diagnoses were recorded during this period. One hundred and thirty four patients (20% of requests) were invited to attend a face-to-face consultation within an average of 29 days. DiscussionThrough the use of tele-expertise at Le Mans Genreal Hospital it was possible to introduce a means of tackling the problem of the lack of dermatologists in the Sarthe department. Rapid responses enabled the number of consultation requests to be reduced, leading to fewer population displacements in the context of the present pandemic. ConclusionThese initial results are encouraging and confirm that tele-expertise seems a satisfactory option to optimize access to care for populations in areas of low physician density.

Acquisition and use of Environmental Education in Solid Waste Management Practices

Environmental issues are becoming more multifaceted and difficult to manage, and with the preponderance of pollution shifting toward problems caused by individuals and small entities, a stronger and wider public understanding of environmental management and related issues is a growing necessity. This study identifies contents of environmental education in solid waste management (Reduce, Reuse and Recycle) and assesses the recycling interests of households through a participatory assessment. Using a survey questionnaire that addressed five stages of environmental literacy; (awareness, knowledge, understanding, attitude and skills) as well as solid waste generation, disposal and management, a multistage sampling technique was adopted for data collection. The probability sampling was used to draw 1,230 respondents not less than 18 years of age in selected households from three local government areas, classified into high, medium and low density areas. A correlation test was used to determine the relationship between the knowledge of respondents about waste management and their waste management practices. Findings showed that the knowledge for employing reduction/avoidance, reuse and recycling methods was acquired at a tender age through parents, siblings or relations, and at school. Findings also showed no significant relationship between the knowledge of respondents about the content of Environmental Education (EE) and their waste management practices with a coefficient correlation of 0.107 and p: 0.552 > 0.05. Furthermore, the assessment showed that 96% of the individuals were interested in recycling. Deploying environmental education has a significant impact on waste management practices and early childhood knowledge acquisition is vital to environmental education.

Rib Osteoblastoma: A Rare Benign Primary Bone Tumor - Clinical Case Report

Objective: To present a clinical case of a rare pathology, to know its aggressive behavior, its limited ability to metastasize, and its therapeutic management, as well as to review the current literature. Clinical Case: A 22-year-old male patient, with no personal or family history of the disease, was found to have a radiating mass at the left posterior 10th rib arch, with a rounded appearance, low-density areas inside, rounded, and well-defined microspheres at the margin, measuring 4.3 cm × 4.3 cm. The surgery was performed through a left posterolateral thoracotomy, which removed nearly two-thirds of the 10th posterior arch of the left rib and with its costal-vertebral disarticulation. Anatomic and pathological studies reported a histological diagnosis of rib osteoblastoma or giant cell bone tumor. Conclusion: This is uncommon and difficult to predict bone tumor in behavior, as almost all bone tumors contain giant cells. It is a primary bone tumor with benign features that invades the local area in an aggressive manner, with a biphasic component of giant cells and a highly vascularized spindle cell component. It often relapses and has limited metastatic ability. Osteoblastoma or giant cell tumor of the bone is a rare tumor located in the ribs, making it even more unusual. However, its prognosis is good, although it can recur and metastasize.

Kissing molars class III detected at a young age

BackgroundKissing molars (KMs) is defined as a state in which the apex of two impacted molars face opposite directions and the occlusal surfaces touch each other and the crown is in one follicle. Class III KMs have been reported previously; however, reports on class III KMs in young people (< 18 years of age) are limited.Case presentationHere, we present the case of KMs class III confirmed at an early age, supported by a review of the literature. The patient was a 16-year-old female and experienced discomfort in the left molar of the lower jaw and visited in our department. We diagnosed KMs based on an impacted teeth on the buccal side, near the lower jaw wisdom teeth, and a cyst-like low-density area observed around the crown of both teeth, as revealed by computed tomography. We decide to extract the tooth and enucleate the cyst under local anesthesia as the patient experienced discomfort due to occlusion. Furthermore, the cyst-like structure removal and tooth extraction including tooth root were necessary as the patient had KM class III, possibly inducing complicated malocclusion. Although no previous reports recommended timing for KMs tooth extraction, we propose that extraction at an early stage is important regardless of age especially in class III cases.ConclusionsWe report a case of KM class III detected at an early age.

Five Years Later: Continuing Disparity in the Geographic Density and Distribution of U.S. Dermatologists

Objectives: A discrepancy exists in the geographical distribution of dermatologists across the United States (US). The aim of this study was to reexamine the current geographical density of dermatologists to describe any changes compared to date from 5 and 12 years ago.&#x0D; Methods: Membership data from the 2021 American Academy of Dermatology (AAD) database were retrieved to characterize the distribution of dermatologists in 3-digit zip code areas.&#x0D; Results: Out of 712 populated zip codes with dermatologists, 510 (71.6%) had less than 4 dermatologists per 100,000, as compared to 515 (72.3%) in 2016 (– 0.19% CAGR). The dermatologist density of the 100 most populated areas (M = 4.5 dermatologists per 100,000, SD = 3.3) and 100 least populated areas (M = 1.6 dermatologists per 100,000, SD = 6.2) were significantly different (P &lt; 0.0001).&#x0D; Conclusion: This analysis provides continued trends to compare to previous studies performed in 2016 and 2009. The highest and lowest density areas were similar to results from previous studies. The results indicate an enduring and significant maldistribution of dermatologists in the US.

Compensatory mortality explains rodent resilience to an invasive predator

Abstract Invasive Burmese pythons (Python bivittatus) in the Everglades of Florida, United States, have drastically reduced populations of mammals, yet populations of some rodents appear unaffected by the invasion. To understand this pattern, we radio-tagged cotton rats (Sigmodon hispidus) in areas of high and low python occurrence densities (hereafter occurrence) and quantified the effects of python occurrence, seasonality, and sex on their survival and cause-specific mortality. Cotton rat survival was not influenced by difference in python occurrence (hazard ratio = 1.32, 95% CI = 0.77–2.26, P = 0.30). However, cotton rats were at greater risk from mortalities caused by mammals in areas of low python occurrence. In areas with elevated python occurrence, we attributed most cotton rat mortalities to birds of prey (48.6%) and reptiles (non-python = 24.3%, python = 16.2%). Where python occurrence was relatively low, we attributed cotton rat mortalities to native reptilian (28.6%), avian (35.7%), and mammalian predators (35.7%) with no python-related deaths. In total, pythons were responsible for 11.8% of all cotton rat mortalities. Finding no difference in the survival of cotton rats, despite differences in the causative agents of mortality, suggests that predation pressure from an invasive predator was compensatory for cotton rat population dynamics. This type of compensatory mortality is common for small mammals and helps explain why mammal communities in python-invaded portions of the Greater Everglades Ecosystem are increasingly dominated by cotton rats and other rodents.

Occurrence Characteristics of Microplastics and Metal Elements in the Surface Water of Huangpu River and Their Associations with Metal Resistance Genes

Urban rivers have been regarded as the "hotspots" for microplastic (MPs) and metal contamination as they play important roles in pollution migration. However, as important sinks and sources of resistance genes, there has been little to no research investigating the associations between MPs, metal contaminations, and metal resistance genes (MRGs). Ten water samples were collected from the Huangpu River in situ; along with metal elements, MPs characteristics analyzed. Metal resistance genes and mobile genetic elements (MGEs) in waters and MPs were detected using metagenomic technology. As a result, the highest metal concentration was that of Sb in surface water (3.16±0.419) μg·L-1. The average abundance of MPs was (1.78±0.84) n·L-1, and the peak levels located in industrial and densely populated areas, which was significantly higher than those in agricultural and low population density areas. Fibrous, small-size (<0.5 mm), and transparent polyethylene terephthalate (PET) were the largest contributors of MPs. Eighteen MRGs were detected in all the samples. The relative abundance of MRGs in water was 1.68±0.21. The most dominant MRGs subtypes were merR and ruvB, which are subtypes resistant to mercury and Multi_metals. Correlation analysis showed that chromium and nickel in waters were significantly positively associated with MRG-Cr, MRG-Ni, and Multi_metals resistance genes. For MPs particles, the relative abundance of MRGs was 1.63±0.53. The most dominant MRGs subtypes were merT-P and copB, which also belong to mercury-resistant and Multi_metals. The Multi_metals resistance gene, ctpC, cueA, czrA, kmtR, etc., had significant positive associations with Ni, Cr, and Sb in waters. Compared with water samples, MPs selectively enriched merT-P, copB, ziaA, sodA, and dmeF. Additionally, the co-occurrence patterns of MRGs and MGEs were explored based on network analysis. In water samples, the transposases (tnpA_1 and tnpA_2), integrase (qacEdelta), and insertion sequence (IS91) were the major contributors of the horizontal gene transfer (HGT) of specific MRGs. Multiple subtypes resistant to copper and Multi_metals resistance genes on MPs were positively associated with IncFIC(FII), Rep7, rep7, and rep13, which were subtypes of plasmids. The presence of MPs exerted a significant impact on HGT of specific MRGs mediated by plasmids.

Etched hollow periodic mesoporous organosilica with enlarged pore size for high-performance solid phase microextraction of polybrominated biphenyls

Hollow mesoporous silica has attracted increasing attention due to its outstanding characteristics such as low density, large void, mesoporous channel, and large specific surface area. Herein, a kind of etched hollow periodic mesoporous organosilica (EHPMOS) with enlarged mesopore size was successfully synthesized for high-performance solid phase microextraction (SPME). The etched silica material was prepared as a SPME fiber with uniform morphology, and the enrichment capacities for polybrominated biphenyls (PBBs) were systematically studied. In particular, the EHPMOS showed significant enrichment factors (158–9516) for PBBs. In addition, based on the home-made SPME fiber and gas chromatography-mass spectrometry (GC–MS), an ultra-sensitive analytical method was developed, with low limits of detection (0.11–0.32 ng·L-1), a wide linear range (1–1000 ng·L-1), and satisfactory reproducibility. And accurate quantifications of ultra-trace PBBs in environmental water sample were achieved.

Capturing urban recreational hotspots from GPS data: A new framework in the lens of spatial heterogeneity

Recreational activities are heterogeneously distributed throughout urban space, with far more low-density areas than high-density ones. Identification of recreational hotspots, or high-density areas, plays a critical role in urban planning. Nevertheless, from the perspective of urban heterogeneity, recreational hotspots remain inadequately understood for further theoretical and empirical investigations. Hence, based on the volunteered GPS trajectory data, we established a novel framework for effectively capturing recreational hotspots. The entire process can be divided into three steps: extracting stay points from individuals' tracks; clustering points by using heavy-tailed distribution statistics of the point-point proximities based on triangular irregular network (TIN); and generating the hotspots and integrating them with street segments. To assess the proposed framework, we started by introducing it in three typical Chinese cities and analyzing the reliability of the capturing process. Furthermore, taking one of the three cases as an example, we compared the proposed framework with current widely-used clustering methods, namely, K-means, DBSCAN and CFSFDP. The results show that the proposed framework performs well in both the empirical investigations and methodological comparisons, as it not only highlights the existing hotspots that are in line with general public perceptions, but also outperforms the three clustering algorithms in terms of fitness of the purpose, rapidity, and accuracy. Overall, this study extends urban heterogeneity to the application of the urban recreational system and provides potentials for its redesign and improvement.

Meso-damage analysis of concrete based on X-ray CT in-situ compression and using deep learning method

Traditional concrete failure research mostly based on surface cracks to analyze its macro mechanical properties, which cannot obtain the internal structure and failure process on a mesoscopic level. The internal topography of concrete can be acquired by using X-ray CT to scan the entire concrete specimen, and the internal structure change caused by stress can be captured when combined with an in-situ CT loading device. Thus, in-situ X-ray computed tomography (X-ray CT) scanning was performed on concrete under uniaxial compression, and the real-time CT images of the meso-damage evolution process inside concrete were obtained. Deep Learning method was applied to extract two-dimensional (2D) and three-dimensional (3D) cracks for visual analysis and quantitative characterization. The damage evolution process, damage variables and Poisson's ratio of concrete were analyzed based on CT values. The results revealed that crack formation and propagation did not necessarily occur at the interface, the low-density area was prone to cause concrete damage. The crack morphology obtained by deep learning was highly consistent with the distribution of cracks in concrete. The law of crack extension, distribution and expansion could be represented through crack thickness, crack voxel number and crack area. The initial meso-damage distribution of concrete had an important impact on the occurrence of localized damage. The results of CT value showed that the meso-damage of concrete develops from inside-out. The damage evolution process was divided into compression stage Ⅰ, damage stage Ⅱ and destruction stage Ⅲ. The damage variable and Poisson's ratio were evaluated by CT value could further characterize the deterioration degree of concrete.

Factors that determine a university community’s satisfaction levels with public transit services

Introduction: Universities and other educational institutions across the United States collaborate with service providers to afford their students, faculty, and staff transit services, such as dedicated buses, on-demand ridesharing, and public transportation. The university community relies on these services, especially in rural and low-density areas without fixed-route transit services. The literature on this topic has a wealth of detailed material about the travel and usage patterns of public transit systems, but it has little information about users’ satisfaction with the transit services provided by universities.Method: This study focuses on filling this gap by using descriptive statistics and ordered logistic regression to determine how satisfied users are with university transit services and what factors are associated with their level of satisfaction. Four public transit services available to the University of Texas at Arlington community served as our case studies.Results and Discussion: The results revealed that most users are satisfied with the services overall. Riders were highly satisfied with service attributes like ease of boarding, cleanliness, customer service, and vehicle speed of the four services. On the other hand, they were least satisfied with service availability and wait times of these services. The findings from this study may be used to provide the UTA community with better mobility and accessibility options and to evaluate the levels of satisfaction with similar services offered to other university communities.

Electrochemical Reconstruction Engineering: Metal–Organic Gels as Pre‐Catalysts for NiOOH/FeOOH Heterostructure to Boost Oxygen Evolution Reaction

Metal–organic gels (MOG) as new types of soft materials have shown promising applications in various fields such as chemosensors, environmental remediation, and gas adsorption/separation, owing to their high porosity, low density, and high surface area. However, the application of MOG materials in energy electrocatalysis and the active components made from them are rarely perceived. Herein, a new electrochemistry‐driven reconstruction strategy to synthesize the NiOOH/FeOOH heterostructure from MOG materials is reported. The reconstructed NiOOH/FeOOH exhibits superior oxygen evolution reaction activity and excellent stability, owing to the synergistic effect of bimetallic centers, the abundant interface between NiOOH and FeOOH, and the plentiful defects. Impressively, the activated Re–FeNi–MOG‐4 electrocatalyst displays remarkable catalytic activity with a low overpotential of 220 mV at a current density of 10 mA cm−2 and a small Tafel slope of 48 mV dec−1 in alkaline electrolyte, outperforming most recently reported electrocatalysts. Herein, a facile and effective electrochemical reconstruction engineering of pre‐catalysts is provided and the evolution of self‐reconstruction of MOG materials for accelerating the kinetics of the electrocatalytic process is highlighted.

Modelling of land use and land cover changes and prediction using CA-Markov and Random Forest

We used the Cellular Automata Markov (CA-Markov) integrated technique to study land use and land cover (LULC) changes in the Cholistan and Thal deserts in Punjab, Pakistan. We plotted the distribution of the LULC throughout the desert terrain for the years 1990, 2006 and 2022. The Random Forest methodology was utilized to classify the data obtained from Landsat 5 (TM), Landsat 7 (ETM+) and Landsat 8 (OLI/TIRS), as well as ancillary data. The LULC maps generated using this method have an overall accuracy of more than 87%. CA-Markov was utilized to forecast changes in land usage in 2022, and changes were projected for 2038 by extending the patterns seen in 2022. A CA-Markov-Chain was developed for simulating long-term landscape changes at 16-year time steps from 2022 to 2038. Analysis of urban sprawl was carried out by using the Random Forest (RF). Through the CA-Markov Chain analysis, we can expect that high density and low-density residential areas will grow from 8.12 to 12.26 km2 and from 18.10 to 28.45 km2 in 2022 and 2038, as inferred from the changes occurred from 1990 to 2022. The LULC projected for 2038 showed that there would be increased urbanization of the terrain, with probable development in the croplands westward and northward, as well as growth in residential centers. The findings can potentially assist management operations geared towards the conservation of wildlife and the eco-system in the region. This study can also be a reference for other studies that try to project changes in arid are as undergoing land-use changes comparable to those in this study.

Where Is the Rural Creative Class? A Systematic Literature Review About Creative Industries in Low-Density Areas

AbstractResearch in creative industries is mostly focused on urban and metropolitan areas. However, various authors have approached the creative industries from a regional, rural, or remote point of view. The objective of this study is to map and analyze research on creative industries in low-density areas and to identify the main theories and current and future trends within this theme. For data collection, only articles published in the Web of Science and SCOPUS databases were used, from which a set of 152 documents was obtained. For this study, we used R Bibliometrix software to assist in result analysis and VOSViewer software, to create a reference co-citation’s map, which allowed us to identify three clusters, whose themes we analyzed in detail. The results allowed to show (i) an increase in investigations into creative industries in low-density areas in recent years, (ii) the main journals and authors that have contributed the most to this theme, (iii) the identification of the theories most used in these studies, and (iv) finally, the identification of three clusters: remoteness and place relations with the creative industries (cluster 1), critical perspectives and the spatial distribution of talent (cluster 2), and cultural policies and the genesis of the creative class (cluster 3). This study contributes to mapping and critically summarizing the existing literature linking the creative industries and low-density areas. In addition, the study made it possible to identify current and future trends in order to enhance new lines of investigation.

Study of Diameter-to-Draft Ratio of Pitch Point Absorber as Wave Energy Converter in Indonesia Waters Based on Boundary Element Method

Recently, harnessing the energy from low wave energy density areas is concerned to deal with renewable energy targets. The previous study proposed a pitch point absorber with a submerged sectional equivalent area as the design parameter. However, that parameter did not suggest the best sectional area and did not directly correlate with the theory of structure hydrodynamic. Thus, this research proposes the diameter-to-draft ratio as a design parameter for the pitch point absorber. The study was conducted numerically using Boundary Element Method software to investigate diffraction characteristics of the device and analyze structure response in irregular waves. The model was modified with five different diameters and ratios. JONSWAP Spectrum was used to generate wave elevation with a 2-m significant wave height and 10-second peak period. The time domain simulation was set at 10.800 seconds. The result of this study showed that the highest responses occurred when the diameter-to-draft ratio was 5 because it has the closest structure natural frequency to assumed wave frequency, which makes it easier to resonate. In all diameters, the higher ratio affects the range of the structure natural frequency getting farther from the assumed wave, so the responses become smaller.

GIS Analysis of Adequate Accessibility to Public Transportation in Metropolitan Areas

The public transport system plays an important role in a city as it moves people from one place to another efficiently and economically. The public transport network must be organized in a way that will cover as many places and as much of the population as possible, and support the city’s growth. As one of Australia’s largest capital cities, Melbourne is growing and expanding its metropolitan area to reflect the growth in population and an increased number of activities. To date, little research has been conducted to determine the accessibility and adequacy of public transport taking into consideration the blank spot areas, the number of public transport options for each area, the population density within specific geographical areas, and other issues. In this study, a new measurement model is developed that examines public transport in residential areas and the extent to which it is adequate for the various local government areas (LGAs). An accessibility approach is adopted to evaluate the accessibility of different types of public transportation in residential areas in metropolitan Melbourne, Victoria, Australia. The results show that in most LGAs, the number of blank spots will decrease as the population density increases. This indicates that residents in lower-density areas will have less accessibility to public transportation. However, there is no indication that there is a greater level of services (such as more night-time and weekend public transportation services) in the high-density areas. This research is significant as it will point to and help to improve the areas with inadequate public transportation and other issues, taking into consideration their geographical locations and population density.

In vivo characterization of the human glioblastoma infiltrative edge with label-free intraoperative fluorescence lifetime imaging.

Challenges in identifying a glioblastoma's infiltrative edge during neurosurgical procedures result in rapid recurrence. A label-free fluorescence lifetime imaging (FLIm) device was used to evaluate glioblastoma's infiltrative edge in vivo in 15 patients (89 samples). FLIm data were analyzed according to tumor cell density, infiltrating tissue type (gray and white matter), and diagnosis history (new or recurrent). Infiltrations in white matter from new glioblastomas showed decreasing lifetimes and a spectral red shift with increasing tumor cell density. Areas of high versus low tumor cell density were separated through a linear discriminant analysis with a ROC-AUC=0.74. Current results support the feasibility of intraoperative FLIm for real-time in vivo brain measurements and encourage refinement to predict glioblastoma infiltrative edge, underscoring the ability of FLIm to optimize neurosurgical outcomes.

Hyaluronic Acid Aerogels Made Via Freeze-Thaw-Induced Gelation.

The biodegradability, biocompatibility, and bioactivity of hyaluronic acid (HA), a natural polysaccharide, combined with the low density, high porosity, and high specific surface area of aerogels attract interest for biomedical applications such as wound dressings. In this work, physically cross-linked HA aerogels were prepared via the freeze-thaw (FT) induced gelation method, solvent exchange, and drying with supercritical CO2. The morphology and properties of HA aerogels (volume shrinkage, density, and specific surface area) were investigated as a function of several process parameters: HA concentration, solution pH, number of FT cycles, and type of nonsolvent used during solvent exchange. We demonstrate that the HA solution pH plays a key role in the aerogel formation, as not all conditions result in materials with high specific surface area. HA aerogels were of low density (<0.2 g/cm3), high specific surface area (up to 600 m2/g), and high porosity (≥90%). Scanning electron microscopy pictures revealed that HA aerogels present a porous structure with meso- and small macropores. The results show that HA aerogels are promising biomaterials with tunable properties and internal structure that offer high potential as, e.g., wound dressings.

Disparities in spatial accessibility of primary care in Louisiana: From physical to virtual accessibility.

Telehealth has been widely employed and has transformed how healthcare is delivered in the United States as a result of COVID-19 pandemic. While telehealth is utilized and encouraged to reduce the cost and travel burden for access to healthcare, there are debates on whether telehealth can promote equity in healthcare services by narrowing the gap among diverse groups. Using the Two-Step Floating Catchment Area (2SFCA) and Two-Step Virtual Catchment Area (2SVCA) methods, this study compares the disparities of physical and virtual access to primary care physicians (PCPs) in Louisiana. Both physical and virtual access to PCPs exhibit similar spatial patterns with higher scores concentrated in urban areas, followed by low-density and rural areas. However, the two accessibility measures diverge where broadband availability and affordability come to play an important role. Residents in rural areas experience additive disadvantage of even more limited telehealth accessibility than physical accessibility due to lack of broadband service provision. Areas with greater Black population proportions tend to have better physical accessibility, but such an advantage is eradicated for telehealth accessibility because of lower broadband subscription rates in these neighborhoods. Both physical and virtual accessibility scores decline in neighborhoods with higher Area Deprivation Index (ADI) values, and the disparity is further widened for in virtual accessibility compared to than physical accessibility. The study also examines how factors such as urbanicity, Black population proportion, and ADI interact in their effects on disparities of the two accessibility measures.