Survival characteristics of food and beverage businesses in a gentrified commercial area-A case study in Seoul, Korea.

Commercial gentrification is a common cause of urban transformation in modern cities. Former residential and industrial areas are being transformed into commercial ones specializing in the food and beverage (F&B) industry because of their unique atmosphere. However, F&B businesses in the gentrified commercial areas are prone to intense competition for survival that debate on the emerging commercial street's sustainability. Thus, this study analyzed F&B street businesses' survival characteristics where commercial gentrification has occurred. The research site was selected among Seoul's commercial streets by performing data analysis. The Cox proportional hazards model and urban spatial indicators were used to analyze the factors affecting survival time. The research findings were as follows: First, physical attractiveness, such as openness or visual accessibility, lowered the closure risk. Second, accessibility to cultural facilities or open spaces was beneficial for the nearby F&B demands; however, it occasionally intensified the competition. Finally, competitive businesses' agglomeration increased the closure risk, while non-competitive ones' agglomeration and diversification decreased it. This research's results could be useful for policymakers in promoting a more sustainable business environment for F&B entrepreneurs.

Differences in perception of safety in driving environment according to shared PMD user experience through multi-criteria analysis.

A shared personal mobility device (PMD) is a transportation model that rents personal transportation devices, such as bicycles and kickboards, through a sharing platform. The use of shared PMD has increased, but related complaints and traffic accidents are doubling with it every year. This study applied an analytic network process (ANP) methodology for the multi-criteria analysis. A survey including normal citizens was conducted to evaluate the importance of safety regarding shared PMD experience. The evaluation factors differ according to the experience of using the shared PMD device, although 'driving continuity' and 'separation of sidewalks and roadways' were the most important. PMD users gave greater priority to 'removal of the road gap', 'traffic safety signs', 'dedicated parking area' and 'management of obstacles' compared to non-users. On the other hand, for non-PMD users, 'bicycle lane width', 'strengthening enforcement', and 'user safety education' were more important. The results showed that importance differed depending on the participant's experience of using a shared PMD or the lack of it. In the case of users, factors that have a direct effect on driving were prioritised, and in the case of non-users, auxiliary operations and management, such as crackdowns and education, were prioritised.

Bioconcentration and Metabolism of the New Herbicide Methiozolin in Ricefish (Oryzias latipes).

Methiozolin is a novel herbicide used to control annual bluegrass. It has low vapor pressure and high hydrophobicity, which could result in persistence in water and bioaccumulation. We measured the bioconcentration factors (BCFs) of methiozolin in ricefish (Oryzias latipes). Two radiolabels were used to quantify the parent compound and identify its metabolites. Ricefish were exposed to 2.0 and 20.0 ng/L methiozolin for 28 days in the uptake phase with a 96-h LC50 of 2.2 mg/L(95% confidence limit: 2.1-2.5 mg/L) and water solubility of 4.2 mg/L after 48 h was observed. On the basis of total radioactivity residues (TRRs), BCFss and BCFk values of 797.0-851.9 and 992.9-1077.4 were observed, respectively, while BCFss values for methiozolin were 251.9-257.5. Several minor metabolites with TRR < 3.4% were detected. Among them, 4-(2,6-difluorobenzyloxy-methyl)-3-hydroxy-3-methyl-1-(3-methylthiophen-2-yl)butan-1-one, 2,6-difluorobenzyl alcohol, and 4,5-dihydro-5-methyl-3-(3-methylthiophen-2-yl)isoxazol-5-yl)methanol were identified. Methiozolin is metabolized into numerous minor metabolites with potentially low bioaccumulation capacity in ricefish. These findings can facilitate risk assessments regarding methiozolin use, particularly its movements and final stages in aquatic environments.

Does Young Adults' Neighborhood Environment Affect Their Depressive Mood? Insights from the 2019 Korean Community Health Survey.

The rates of depression among young adults have been increasing in high-income countries and have emerged as a social problem in South Koreans aged 19-34. However, the literature is unclear on whether the neighborhood environment that young adults live in affects the onset and severity of their depressive symptoms. This study analyzed data from the 2019 Korean Community Health Survey (KCHS) using the Tobit model to identify the effect of the neighborhood environment on young adults' depressive moods. Controlling for other corresponding factors, young adults' neighborhood environment satisfaction affected their depression, and natural environment satisfaction (32.5%), safety level satisfaction (31.0%), social overhead capital (SOC), environment satisfaction (30.2%), trust between neighbors satisfaction (20.1%), and public transportation environmental satisfaction (12.2%) affected young adults' depressive moods. Of these, natural environment satisfaction (32.5%), safety level environment satisfaction (31.0%), and SOC environment satisfaction (30.2%) affected young adults' depressive mood to a similar extent. This implies that many young adults in South Korea live in inadequate neighborhood conditions. This research contributes to the literature by identifying the specific environmental factors that affect young adults' depressive moods.

Protective effect of a novel clinical-grade small molecule necrosis inhibitor against oxidative stress and inflammation during islet transplantation.

Inhibition of mitochondrial reactive oxygen species (ROS) and subsequent damage-associated molecular patterns (DAMPs)-induced inflammatory responses could be a novel target in clinical islet transplantation. We investigated the protective effects of NecroX-7, a novel clinical-grade necrosis inhibitor that specifically targets mitochondrial ROS, against primary islet graft failure. Islets from heterozygote human islet amyloid polypeptide transgenic (hIAPP+/- ) mice and nonhuman primates (NHPs) were isolated or cultured with or without NecroX-7 in serum-deprived medium. Supplementation with NecroX-7 during hIAPP+/- mouse islet isolation markedly increased islet viability and adenosine triphosphate content, and attenuated ROS, transcription of c-Jun N-terminal kinases, high mobility group box 1, interleukin-1beta (IL-1 ß ), IL-6, and tumor necrosis factor-alpha. Supplementation of NecroX-7 during serum-deprived culture also protected hIAPP+/- mouse and NHP islets against impaired viability, serum deprivation-induced ROS, proinflammatory response, and accumulation of toxic IAPP oligomer. Supplementation with NecroX-7 during isolation or serum-deprived culture of hIAPP+/- mouse and NHP islets also improved posttransplant glycemia in the recipient streptozotocin-induced diabetic hIAPP-/- mice and BALB/c-nu/nu mice, respectively. In conclusion, pretransplant administration of NecroX-7 during islet isolation and serum-deprived culture suppressed mitochondrial ROS injury, generation of DAMPs-induced proinflammatory responses, and accumulation of toxic IAPP oligomers ex vivo, and improved posttransplant glycemia in vivo.

Dissipation of Herbicide Methiozolin and Its Metabolites in Aerobic Sediment-Water Systems.

Methiozolin is a novel herbicide for controlling annual bluegrass. After applying 14C labelled methiozolin in two sediment (clay loam and sand)-water systems under aerobic conditions, its distribution, half-life, and metabolites within 300 days were investigated. The mass balance ranged within 92.0%-104.4% of applied radioactivity (AR). Radioactivity in the water declined sharply from 94.4% to 0.5% AR, while in the sediment it increased to 83.9% AR at 14 days before declining to 9.1% AR. The volatiles were minimal (< 0.5% AR), and the evolved labelled CO2 accounted for up to ~ 33.4% AR. From Radio-HPLC analysis, labelled methiozolin in water decreased from 108.9% to 0% AR, while a maximum of 15.1% AR remained in the sediment at the end. Eight metabolites were detected, all at minor levels and accounting for < 5.5% AR. The half-life of labelled methiozolin in the total sediment-water systems were 50.7 and 38.7 days for clay loam and sand, respectively.

Reproductive dysfunction linked to alteration of endocrine activities in zebrafish exposed to mono-(2-ethylhexyl) phthalate (MEHP).

This study aimed to investigate the effect of mono-(2-ethylhexyl) phthalate (MEHP), one of the major phthalate metabolites that are widespread in aquatic environments, on reproductive dysfunction, particularly on endocrine activity in adult male and female zebrafish. For 21 days, the zebrafish were exposed to test concentrations of MEHP (0, 2, 10, and 50 µg/mL) that were determined based on the effective concentrations (ECx) for zebrafish embryos. Exposure to 50 µg/mL MEHP in female zebrafish significantly decreased the number of ovulated eggs as well as the hepatic VTG mRNA abundance when those of the control group. Meanwhile, in female zebrafish, the biosynthetic concentrations of 17ß-estradiol (E2) and the metabolic ratio of androgen to estrogen were remarkably increased in all MEHP exposed group compared with those in the control group, along with the elevated levels of cortisol. However, no significant difference was observed between these parameters in male zebrafishes. Therefore, exposure to MEHP causes reproductive dysfunction in female zebrafishes and this phenomenon can be attributed to the alteration in endocrine activities. Moreover, the reproductive dysfunction in MEHP-exposed female zebrafishes may be closely associated with stress responses, such as elevated cortisol levels. To further understand the effect of MEHP on the reproductive activities of fish, follow-up studies are required to determine the interactions between endocrine activities and stress responses. Overall, this study provides a response biomarker for assessing reproductive toxicity of endocrine disruptors that can serve as a methodological approach for an alternative to chronic toxicity testing.

Anaerobic Degradation of [14C]Methiozolin under Aquatic Sediment Conditions.

The fate of methiozolin under anaerobic conditions was investigated in clay loam with a high organic carbon content and sandy loam with a low carbon content using [dihydroisoxazole ring-14C] and [phenyl-14C] radiolabels. The sediment/water ratio was 1:3 based on the dry weight:volume (w/v) ratio; the incubations lasted up to 355 days after the treatment (DAT) and were performed in the dark at 20.4 ± 0.7 °C. The overlying water flow-through systems consisted of glass vessels containing sediment with traps for [14C]carbon dioxide and [14C]volatiles. The samples were collected and analyzed at 0, 3, 7, 14, 50, 100, 200, and 355 DAT. The water and sediment samples were extracted with solvent systems, centrifuged, concentrated, and analyzed by liquid scintillation counting and a high-performance liquid chromatography (HPLC) system equipped with a flow scintillation analyzer. Following extraction, the sediments were air-dried, and the subsamples were combusted. [14C]Methiozolin was degraded in the water phase and partitioned rapidly into the sediments, where it was further degraded to other metabolites, which were identified by HPLC and liquid chromatography- or gas chromatography-tandem mass spectrometry (MS/MS) with authentic standards. The dissipation of methiozolin from the overlying water was rapid (with half-lives of 1.1-1.8 and 3.6-4.9 days in the clay loam and sandy loam, respectively). However, methiozolin dissipation from the sediment phase and the whole system was much slower than from the water phase (with half-lives of 122.0-220.0 and 110.0-130.0 days in the sediment phase of the clay loam and sandy loam and 116.0-166.0 and 70.8-85.7 days in the whole system of the clay loam and sandy loam, respectively).

Assessment on latitudinal tree species richness using environmental factors in the southeastern United States.

The southeastern region of the United States exhibits an unusual trend of decreasing tree species richness (TSR) from higher to lower latitudes over the Florida peninsula. This trend contradicts the widely marked latitudinal diversity gradient where species richness is highest in tropical zones and decreases towards extratropical regions. This study aims to assess the environmental factors that prompt this atypical inverse latitudinal gradient seen in TSR using the USDA Forest Service's Forest Inventory and Analysis (FIA) database. Fifteen variables under four categories of forested area, groundwater, soil properties, and climate groups were examined to model TSR in the region. Generalized linear models (GLMs) with Poisson distributions first assessed individual variables to test explanatory power then the LASSO regularization method was utilized to extract two subsets of the most influential variables to predict TSR. Forest area and four climate variables (mean annual temperature, precipitation seasonality, mean temperature of coldest quarter, and mean precipitation of driest quarter) were the top five variables during the initial GLM assessment implying their potential individual influence in regulating TSR. Two subsets of LASSO models contained seven and three predictor variables, respectively. Frist subset includes seven predictors, presented in highest to low standardized coefficient, mean temperature of coldest quarter, forested area, precipitation seasonality, mean precipitation of driest quarter, water table depth, spodosol, and available water storage. The other subset further excluded four lowest influential variables from the first set, leaving the top three variables from the first subset. The first subset of the LASSO model predicted TSR with 63.4% explained deviance while the second subset reproduced 60.2% of deviance explained. With only three variables used, the second model outperformed the first model evaluated by the AIC value. We conclude that forest patch area, mean temperature of coldest quarter, and precipitation seasonality are the highly influential variables of TSR among environmental factors in the southeastern region of U.S., but evolutionary or historic cause should be further incorporated to fully understand tree species diversity pattern in this region.

Geo-clustered chronic affinity: pathways from socio-economic disadvantages to health disparities.

OBJECTIVE: Our objective was to develop and test a new concept (affinity) analogous to multimorbidity of chronic conditions for individuals at census tract level in Memphis, TN. The use of affinity will improve the surveillance of multiple chronic conditions and facilitate the design of effective interventions. METHODS: We used publicly available chronic condition data (Center for Disease Control and Prevention 500 Cities project), socio-demographic data (US Census Bureau), and demographics data (Environmental Systems Research Institute). We examined the geographic pattern of the affinity of chronic conditions using global Moran's I and Getis-Ord Gi* statistics and its association with socio-economic disadvantage (poverty, unemployment, and crime) using robust regression models. We also used the most common behavioral factor, smoking, and other demographic factors (percent of the male population, percent of the population 67 years, and over and total population size) as control variables in the model. RESULTS: A geo-distinctive pattern of clustered chronic affinity associated with socio-economic deprivation was observed. Statistical results confirmed that neighborhoods with higher rates of crime, poverty, and unemployment were associated with an increased likelihood of having a higher affinity among major chronic conditions. With the inclusion of smoking in the model, however, only the crime prevalence was statistically significantly associated with the chronic affinity. CONCLUSION: Chronic affinity disadvantages were disproportionately accumulated in socially disadvantaged areas. We showed links between commonly co-observed chronic diseases at the population level and systematically explored the complexity of affinity and socio-economic disparities. Our affinity score, based on publicly available datasets, served as a surrogate for multimorbidity at the population level, which may assist policymakers and public health planners to identify urgent hot spots for chronic disease and allocate clinical, medical and healthcare resources efficiently.

Tree species richness predicted using a spatial environmental model including forest area and frost frequency, eastern USA.

Assessing geographic patterns of species richness is essential to develop biological conservation as well as to understand the processes that shape these patterns. We aim to improve geographic prediction of tree species richness (TSR) across eastern USA by using: 1) gridded point-sample data rather than spatially generalized range maps for the TSR outcome variable, 2) new predictor variables (forest area FA; mean frost day frequency MFDF) and 3) regression models that account for spatial autocorrelation. TSR was estimated in 50 km by 50 km grids using Forest Inventory and Analysis (FIA) point-sample data. Eighteen environmental predictor variables were employed, with the most effective set selected by a LASSO that reduced multicollinearity. Those predictors were then employed in Generalized linear models (GLMs), and in Eigenvector spatial filtering (ESF) models that accounted for spatial autocorrelation. Models were evaluated by model fit statistics, spatial patterns of TSR predictions, and spatial autocorrelation. Our results showed gridded TSR was best-predicted by the ESF model that used, in descending order of influence: precipitation seasonality, mean precipitation in the driest quarter, FA, and MFDF. ESF models, by accounting for spatial autocorrelation, outperformed GLMs regardless of the predictors employed, as indicated by percent deviance explained and spatial autocorrelation of residuals. Small regions with low TSR, such as the Midwest prairie peninsula, were successfully predicted by ESF models, but not by GLMs or other studies. Gridded TSR in Florida was only correctly predicted by the ESF model with FA and MFDF, and was over-predicted by all other models.

Proteomic Analysis of Coprinopsis cinerea under Conditions of Horizontal and Perpendicular Gravity.

Coprinopsis cinerea was employed to investigate the fungal response to gravity. Mycelium growth revealed a consistent growth pattern, irrespective of the direction of gravity (i.e., horizontal vs. perpendicular). However, the fruiting body grew in the direction opposite to that of gravity once the primordia had formed. For the proteomic analysis, only curved-stem samples were used. Fifty-one proteins were identified and classified into 13 groups according to function. The major functional groups were hydrolases and transferases (16%), signal transduction (15%), oxidoreductases and isomerases (11%), carbohydrate metabolism (9%), and transport (5%). To the best of our knowledge, this is the first report on a proteomic approach to evaluate the molecular response of C. cinerea to gravity.

Area-based fuzzy membership forest cover comparison between MODIS NPP and Forest Inventory and Analysis (FIA) across eastern U.S. forest.

This research assessed the accuracy of the moderate resolution imaging spectroradiometer's (MODIS) land cover classification of softwood and hardwood using a fuzzy-based approach for 31 easternmost states in the U.S. Our main objective was to quantitatively evaluate spatially explicit land cover classifications of MODIS net primary product (NPP) scheme using the USDA Forest Service's (FS) field-based, tree-specific Forest Inventory Analysis (FIA). We used a grid of 648 km2 hexagons as base mapping units and interpreted our results at the USDA FS level IV ecological regions. Forest area was calculated for both MODIS and FIA and were found to be strongly correlated (Pearson's r = 0.875, p < 0.01), which suggests the two classifications are comparable. Area-based fuzzy memberships of softwood and hardwood forest were determined for both MODIS and FIA for each hexagon. We used cross-entropy (H c) to evaluate the accuracy of the MODIS classification. Our results determined that the accuracy of MODIS forest cover classification was not uniform for all ecological regions. Tree species importance values (IV) and Shannon's diversity index (H s) were calculated to examine species abundance and heterogeneity, which may partially explain discrepancies between MODIS and FIA classifications. The greatest misclassifications were due to (1) MODIS underestimating softwood forest cover and (2) MODIS confusing forest cover with other land covers such as grassland, cropland, or woody savanna. Our results provide a guideline for users to understand the degree of uncertainty of MODIS forest cover classifications in the eastern USA.

Comparison of physicochemical properties between fine (PM2.5) and coarse airborne particles at cold season in Korea.

Although it has been well-known that atmospheric aerosols affect negatively the local air quality, human health, and climate changes, the chemical and physical properties of atmospheric aerosols are not fully understood yet. This study experimentally measured the physiochemical characteristics of fine and coarse aerosol particles at the suburban area to evaluate relative contribution to environmental pollution in consecutive seasons of autumn and winter, 2014-2015, using XRD, SEM-EDX, XNI, ICP-MS, and TOF-SIMS. For these experimental works, the fine and coarse aerosols were collected by the high volume air sampler for 7 days each season. The fine particles contain approximately 10 µg m(-3) of carbonaceous aerosols consisting of 90% organic and 10% elemental carbon. The spherical-shape carbonaceous particles were observed for the coarse samples as well. Interestingly, the coarse particles in winter showed the increased frequency of carbon-rich particles with high contents of heavy metals. These results suggest that, for the cold season, the coarse particles could contribute relatively more to the conveyance of toxic contaminants compared to the fine particles in the study area. However, the fine particles showed acidic properties so that their deposition to surface may cause facilitate the increase of mobility for toxic heavy metals in soil and groundwater environments. The fine and coarse particulate matters, therefore, should be monitored separately with temporal variation to evaluate the impact of atmospheric aerosols to environmental pollution and human health.

An assessment of the optimal scale for monitoring of MODIS and FIA NPP across the eastern USA.

Robust monitoring of carbon sequestration by forests requires the use of multiple data sources analyzed at a common scale. To that end, model-based Moderate Resolution Imaging Spectroradiometer (MODIS) and field-based Forest Inventory and Analysis (FIA) data of net primary productivity (NPP) were compared at increasing levels of spatial aggregation across the eastern USA. A total of 52,167 FIA plots and colocated MODIS forest cover NPP pixels were analyzed using a hexagonal tiling system. A protocol was developed to assess the optimal scale as an optimal size of landscape patches at which to map spatially explicit estimates of MODIS and FIA NPP. The optimal mapping resolution (hereafter referred to as optimal scale) is determined using spatially scaled z-statistics as the tradeoff between increased spatial agreement as measured by Pearson's correlation coefficient and decreased details of coverage as measured by the number of hexagons. Spatial sensitivity was also assessed using land cover assessment and forest homogeneity using spatially scaled z-statistics. Pearson correlations indicate that MODIS and FIA NPP are most highly correlated when using large hexagons, while z-statistics indicate an optimal scale at an intermediate hexagon size of 390 km(2). This optimal scale had more spatial detail than was obtained for larger hexagons and greater spatial agreement than was obtained for smaller hexagons. The z-statistics for land cover assessment and forest homogeneity also indicated an optimal scale of 390 km(2).

Proteomic identification of abnormally expressed proteins in early-stage placenta derived from cloned cat embryos.

It is unknown whether gene expression in cloned placenta during pre- and postimplantation is associated with early pregnancy failure in the cat. In this study, protein expression patterns were examined in early-stage (21-day-old) domestic cat placentas of fetuses derived from AI (CP; N = 4) and cloned embryo transfer (CEP; N = 2). Differentially expressed proteins were analyzed by two-dimensional gel electrophoresis and matrix-assisted laser desorption/ionization time-of-flight (TOF) mass spectrometry (MS). A total of 21 proteins were aberrantly expressed (P < 0.05) by >1.5-fold in CEP compared with CP. Compared with CP, 12 proteins were upregulated in CEP (peptidyl-prolyl cis-trans isomerase A, annexin A2, protein DJ-1, adenylate kinase isoenzyme 1, protein disulfide-isomerase A3, actin cytoplasmic 1, serum albumin, protein disulfide-isomerase A6, and triosephosphate isomerase), and nine proteins were downregulated (triosephosphate isomerase; heterogeneous nuclear ribonucleoprotein H; tropomyosin alpha-4; triosephosphate isomerase 1; 60 kDa heat shock protein, mitochondrial; serum albumin; calumenin; keratin type 1; and prohibitin). The identities of the differentially expressed proteins were validated by peptide mass fingerprinting using matrix-assisted laser desorption/ionization-TOF/TOF MS/MS. The abnormally expressed proteins identified in this study might be associated with impaired development and dysfunction of CEP during early pregnancy. Abnormal protein expression might also induce fetal loss and contribute to failure to maintain pregnancy to term.