Location Categories Research Articles

On the spatial scope of warehouse activity: An exploratory study in France

This article analyses the relationship between the location of warehouses, the spatial scope of their activities and some of their operational characteristics. It uses the results of a French national survey providing detailed characteristics for 1974 warehouses of more than 5000 square metres. A typology of four spatial categories is built based on a population potential with different values of friction (ɑ). Applying logistic regression, the four categories are related to survey data describing the spatial scope of the activities of warehouses, controlling for variations in other characteristics such as seasonality and vehicle movements. The results show a significant relationship between the location of warehouses and their spatial scope. As expected, warehouses with local origins are more frequent outside the core (inner Paris) and metropolitan location categories (outer Paris and other large urban areas). The findings suggest there may be significant differences in the spatial scope of warehouse activity even within the same urban area.

Clinicopathological characteristics and prognosis of poorly cohesive cell subtype of gastric cancer.

The new World Health Organization (WHO) classification of gastric cancer includes a histological subtype of poorly cohesive carcinoma (PCC), which includes signet-ring cell (SRC) phenotype. We aimed to examine the concordance between preoperative clinical and postoperative histological diagnoses according to the 2010 WHO histological subtypes and to compare the prognoses of these subtypes. The study cohort comprised 665 patients who underwent gastrectomy from 2005 to 2019. Histological subtypes were classified into PCC-NOS (non-signet ring cell subtype), SRC, and non-PCC, which were defined by the predominant component in accordance with the 2010 WHO classification of gastric cancer. The concordance of clinical and pathological diagnosis was examined and clinicopathological characteristics and survival outcome of the three subtypes compared. The cancers of 443 patients (66.7%) were classified as non-PCC, of 112 patients (16.8%) as PCC-NOS, and of 110 patients (16.5%) as SRC predominant subtypes. Significant differences in sex, age, tumor location, size, macroscopic type, and pathological TNM category (all P<0.05) were found. The concordance rate of preoperative and postoperative histological subtypes was significantly lower for poorly cohesive than other subtypes (P<0.0001). Preoperative stage tended to be underestimated for PCC-NOS subtype and these patients had poorer overall survival than those with the other two subtypes (P=0.005). Multivariate logistic regression analysis of overall survival showed that WHO histological subtype (PCC-NOS vs. non-PCC/SRC, HR: 1.64, 95% CI: 1.18-2.29, P=0.0034) was a significant independent prognostic factor. Our results suggest that poorly cohesive carcinoma subtypes have different biological characteristics and prognoses.

Resource frontiers and agglomeration economies: The varied logics of transnational land-based investing in Southern and Eastern Africa

Actor-level data on large-scale commercial agriculture in Sub-Saharan Africa are scarce. The peculiar choice of transnational investing in African land has, therefore, been subject to conjecture. Addressing this gap, we reconstructed the underlying logics of investment location choices in a Bayesian network, using firm- and actor-level interview and spatial data from 37 transnational agriculture and forestry investments across 121 sites in Mozambique, Zambia, Tanzania, and Ethiopia. We distinguish four investment locations across gradients of resource frontiers and agglomeration economies to derive the preferred locations of different investors with varied skillsets and market reach (i.e., track record). In contrast to newcomers, investors with extensive track records are more likely to expand the land use frontier, but they are also likely to survive the high transaction costs of the pre-commercial frontier. We highlight key comparative advantages of Southern and Eastern African frontiers and map the most probable categories of investment locations.

Reporting racial and ethnic diversity in eating disorder research over the past 20 years.

Recent public awareness of racial and ethnic disparities has again brought to light issues of diversity, equity, and inclusion in the eating disorders field. However, empirical information on racial and ethnic representation in eating disorders research is limited, making it difficult to understand where improvements are needed. This study reviewed all studies including human participants published in the International Journal of Eating Disorders in 2000, 2010, and 2020. Differences in likelihood of reporting race and ethnicity were calculated based on study year, location, and diagnostic categories. Out of 377 manuscripts, 45.2% reported information on the race and ethnicity of study participants. Studies conducted in the United States were more likely to report (128/173), and those conducted in Europe were less likely to report (5/61) on race and ethnicity than those conducted outside of those regions. Rates of reporting increased from 2000 to 2020. White participants made up approximately 70% of the samples that reported race and ethnicity data. Hispanic participants made up approximately 10% of samples reporting race and ethnicity. Participants from all other races and ethnicities made up less than 5% each. Although rates of reporting race and ethnicity increased over time, most participants were White. Rates of reporting also differed by the geographical region, which may reflect variability in how information on race and ethnicity is collected across countries. More attention toward capturing the cultural background of research participants and more inclusivity in research are needed in the eating disorders field.

A Named Entity Recognition Model Based on Multi-Task Learning and Cascading Pointer Network

Abstract Because, the existing named entity recognition models lack the Specificity of the field, and most of their combine the prediction of entity Location and entity category, which results in the accumulation of errors. So, named entity recognition model based on multi-task learning and pointer network is proposed, and innovations are made in the task Construction and domain entity information utilization in the model of Named entity recognition. This model is based on Transformer with multi-Head attention mechanism, and decomposes traditional tasks in entity recognition tasks and entity classification tasks, and carries out multi-tasks Task learning to reduce the accumulation of errors between tasks. Model in this paper also uses the similarity calculation based on the Comprehensive description of the entity category in entity classification Task for better pertinence of the domain entity. Experiments are conducted on public datasets and domain datasets to prove the advancement of the Model.

Association between COVID-19 restrictions and emergency department presentations for paediatric mental health in Victoria, Australia.

Objective To determine the association between coronavirus disease 2019 (COVID-19) restrictions and paediatric mental health emergency department presentations. Methods Secondary analysis of Victorian Emergency Minimum Dataset data from 38 Victorian public hospital emergency departments. Paediatric patients (birth to <18 years) attending emergency departments with an International Classification of Disease-Australian Modification (ICD-10-AM) diagnosis of a mental health problem between 1 January 2018 and 31 October 2020 were included. We compared pre-COVID-19 (1 January 2018-27 March 2020) to the COVID-19 period (28 March-26 October 2020) to examine the number of mental health presentations by patient age, socioeconomic status, location, and emergency department triage category. A Poisson regression prediction model was built for each diagnosis group to predict the presentation number in the COVID-19 period, assuming the pandemic and associated restrictions had not happened. Results There were 15 898 presentations (589 presentations/month on average) in the pre-COVID-19 period and 4747 presentations (678 presentations/month on average) in the COVID-19 period. Compared with predicted presentations, there was an increase in observed presentations for eating disorders throughout lockdown (on average, an increase of 36 presentations/month) and for anxiety (11/month) and self-harm (18/month). There were no meaningful changes for mood disorders or developmental and behavioural problems, and presentations for substance abuse mostly fell. Conclusions Pandemic restrictions were associated with increased emergency department presentations for eating disorders and, to a lesser extent, anxiety and self-harm. Given the ongoing pandemic, clinicians and policy makers must work together to find timely, accessible solutions to better manage these conditions.

Data mining of plug-in electric vehicles charging behavior using supply-side data

This paper aims to better understand the charging patterns of plug-in electric vehicles (PEVs) and identify factors that may significantly impact PEVs’ charging behavior. We collected 189,864 supply-side charging session data over 13 months from 821 charging stations in Illinois from ChargePoint. Through descriptive and regression analyses, we characterize the distributions of key charging behavior indicators, including charging location, dwell time, and battery start state of charge (SOC), and quantify the impacts of closely related factors on these charging behaviors. We find that: (1) PEVs are more likely to charge in the morning at multifamily commercial locations with a lower start SOC compared with single family residential locations; (2) Weekday and morning sessions are more likely to utilize workplace charging and have shorter dwell time compared with weekend and afternoon sessions; (3) Single family residential area and locations with Levels 1/2 chargers have a higher start SOC and longer dwell time compared with other locations and DC fast chargers (DCFCs). These findings provide policy insights to identify potential time and locations to incentivize PEVs for grid services, as well as identify critical location categories for further charging infrastructure investment to better reduce range anxiety and promote PEV adoption.

Market conditions of international VET providers: a comparative analysis of Australia, UK, USA, and Germany

VET (vocational education and training) is a highly complex, multidimensional worldwide phenomenon with diverse structures. Additionally, very different actors define the functions of a national (or even a regional) VET system. The paper contributes to a better understanding of the policy frameworks and current states of such systems. Therefore, we focus on selected VET systems in order to understand their specifics and thus, their market conditions. A qualitative approach is used to answer the research question regarding which conditions create or support market-based opportunities for the provision of commercial vocational training services. We find that the liberalism and deregulation of the VET sectors, as well as the marketisation of VET practices, lead to incentives to internationalise VET offers. Thinking in terms of skills, the kind of education system does not play a role. This is the case in liberal market-driven VET approaches (here, the UK, the USA and Australia) and is mirrored in the micro-analysis categories of curricula, learning location, content, and learning process.

Microbiological evaluation of Vietnamese Pho ingredients in Toronto

Introduction: Beef and bean sprouts have often been implicated in foodborne illness (FBI) outbreaks. The traditional Vietnamese dish, Pho, uses both as its main ingredients and, therefore, presents significant concerns from a food safety perspective. The present study investigated food safety concerns associated with Pho through the detection of total coliform and Escherichia coli. Methods: Thirty-two Vietnamese restaurants in Toronto, Ontario, Canada, were selected for the study based on inclusion criteria. All restaurant operators were briefed prior to sampling and were informed that their consent and participation were voluntary. Fourteen restaurants consented to providing samples and allowing their broth temperatures to be taken. Three types of samples were obtained from each location: raw beef (RB), cooked beef (CB), and bean sprouts (BS). All samples were couriered to an accredited laboratory for microbiological analysis via 3M petrifilm E. coli/coliform count plates. Based on reported total coliform count (TCC), locations were segmented into low, medium, and high contamination categories. Subsequent correlational analysis were conducted based on lab detection data to identify potential links between E. coli count (ECC) and TCC, TCC and broth temperature, and ECC and broth temperature. In addition, an ANOVA was performed to examine for differences in TCC by sample types, differences in TCC by suppliers, differences in ECC by sample types, differences in ECC by suppliers, and differences in TCC by location types. Results: ANOVA indicated a significant effect of sample type on TCC for all three different sample types, with post hoc comparisons elucidating significantly lower TCC in CB and RB samples, compared with BS samples. Subsequent analysis further indicated the significant effect of location category on TCC, with post hoc comparisons demonstrating significantly higher TCC in Category 3 locations compared to Category 1 and 2 locations. All other analysis yielded nonstatistically significant results. Conclusion: This study presented significant findings in linking Pho ingredients to potential food safety concerns. Specifically, temperature control was identified as a possible cause for high TCC and E. coli detection at select restaurants. Although analysis involving E. coli did not yield any significant results, any E. coli found on ready-to-eat food at a restaurant is problematic from a food safety perspective. Based on the results, we recommended policy changes to incentivize restaurants to maintain high hygienic standards and improve efficiency of the public health inspection process.

A long-lived, estuarine-resident fish species selects its macroinvertebrate food source based on certain prey and predator traits

This study has explored the extent to which the predominant faunal component of the diet (benthic macroinvertebrates) of the large, long-lived estuarine-resident Acanthopagrus butcheri is related to particular prey and predator traits. Focus is placed on the location (infaunal vs epifaunal) and species size category (small vs medium vs large) of the prey and feeding behaviour of A. butcheri. Data on the benthic macroinvertebrates in the stomach contents of A. butcheri in a microtidal estuary (Swan-Canning, Western Australia) are compared with those of macroinvertebrates sampled in the benthos at the same sites and times in eight consecutive seasons using an Ekman grab. The eight most abundant small macroinvertebrate species in the benthic samples were infaunal and, apart from the bivalve Arthritica semen that was ingested by only a few fish, were not fed on by A. butcheri. In contrast, the three most abundant medium and large-sized species in the benthos, the epifaunal bivalves Xenostrobus securis and Fluviolanatus subtortus and infaunal nereidid polychaete Simplisetia aequisetis, were preyed on substantially, with the first ingested by 54% of A. butcheri and contributing over 51% to dietary volume. Although the eunicid polychaete Marphysa sanguinea occurred in only 7% of benthic samples and contributed <0.1% to abundance, this large infaunal species ranked second in contribution to dietary volume (12%). This species and S. aequisetis were preyed on when they emerged in part or wholly above the substrata. The above results imply that, in terms of prey, A. butcheri selects predominantly medium and large epifaunal macroinvertebrate species and those medium to large infaunal polychaetes which, at times, move out of the substrata. This reflects non-emergent infauna being present in essentially all benthic samples and contributing 66% to total abundance, whereas this group was found in only 8% of stomach samples of A. butcheri and contributed only 2% to dietary volume. In contrast, emergent infauna and epifauna contributed 12 and 22%, respectively, to abundance in the benthos, but as much as 22 and 75%, respectively, to the diets of A. butcheri. It is concluded that the marked selectivity of A. butcheri for prey was related to certain prey and predator traits, i.e. size category of prey species, and prey located above the substrata, either permanently or at frequent intervals, and to visual acuity and a fast-swimming angled attack by the predator.

Distribution and Location Stability of the Australian Ophthalmology Workforce: 2014–2019

Objective: To investigate the ophthalmology workforce distribution and location stability using Modified Monash Model category of remoteness. Methods: Whole of ophthalmologist workforce analysis using Australian Health Practitioner Registration Agency (AHPRA) data. Modified Monash Model (MMM) category was mapped to postcode of primary work location over a six-year period (2014 to 2019). MMM stability was investigated using survival analysis and competing risks regression. Design: Retrospective cohort study. Setting: Australia. Participants: Ophthalmologists registered with AHPRA. Main outcome measures: Retention within MMM category of primary work location. Results: A total of 948 ophthalmologists were identified (767 males, 181 females). Survival estimates indicate 84% of ophthalmologists remained working in MMM1, while 79% of ophthalmologists working in MMM2–MMM7remained in these regions during the six-year period. Conclusion: The Australian ophthalmology workforce shows a high level of location stability and is concentrated in metropolitan areas of Australia. Investment in policy initiatives designed to train, recruit and retain ophthalmologists in regional, rural and remote areas is needed to improve workforce distribution outside of metropolitan areas.

Utilization of Real Time Behavior and Geographical Attraction for Location Recommendation

Personalized location recommendation is an increasingly active topic in recent years, which recommends appropriate locations to users based on their temporal and geospatial visiting patterns. Current location recommendation methods usually estimate the users’ visiting preference probabilities from the historical check-ins in batch. However, in practice, when users’ behaviors are updated in real-time, it is often cost-inhibitive to re-estimate and updates users’ visiting preference using the same batch methods due to the number of check-ins. Moreover, an important nature of users’ movement patterns is that users are more attracted to an area where have dense locations with same categories for conducting specific behaviors. In this paper, we propose a location recommendation method called GeoRTGA by utilizing the real time user behaviors and geographical attractions to tackle the problems. GeoRTGA contains two sub-models: real time behavior recommendation model and attraction-based spatial model. The real time behavior recommendation model aims to recommend real-time possible behaviors which users prefer to visit, and the attraction-based spatial model is built to discover the category-based spatial and individualized spatial patterns based on the geographical information of locations and corresponding location categories and check-in numbers. Experiments are conducted on four public real-world check-in datasets, which show that the proposed GeoRTGA outperforms the five existing location recommendation methods.

40.4 A Descriptive Report on Internet Access Points from Smartphones of Youth Experiencing Homelessness

Youth experiencing homelessness (YEH) have a variety of challenges. Access to the internet is an important tool for youth to keep connected to others and to access service. This study aims to examine the use of smartphones among YEH. The study uses a sample of 35 youth between the ages of 18 and 24 years recruited through a network of shelters in Chicago. The preliminary data from this study have been published. Substance use was assessed using a subset of the 2011 National Youth Risk Behavior Survey (YRBS). Depression (Patient Health Questionnaire-9 [PHQ-9]) and PTSD (PTSD Checklist for DSM-5 [PCL-5]) were measured at enrollment and at 1 month. Trauma exposure was assessed using the Childhood Trauma Questionnaire (CTQ) and the Trauma History Questionnaire (THQ). As part of this study, participants received a mobile phone with an activated data and service plan. This report uses data that were extracted passively from smartphones of the participants using Purple Robot. This was done with consent from participants. From a dataset containing several thousand data points, we extracted a random subsample of 2000 data points detailing smartphone geospatial data. Trained coders (SHD and DK) reviewed the Service Set Identifier (SSID) labels for each extracted data point and coded these into larger categories (ie, hotel, coffee shop, restaurant, library) according to a rubric developed by the team. Results for this study are pending. The participants had an average age of 19.06 years (SD = 0.85). Most of the participants were women (23/35, 65%), with 31% (11/35) men and 1 transgender participant (1/35, 3%). Participants were predominantly African American (23/35, 66%), 9% White (3/35), 17% mixed race (6/35), 3% other (1/35), and 6% either refused or did not know (2/35). In addition, 20% of the sample reported being Hispanic (7/35). The demographics of these YEH are reflective of national trends, which show disproportionate ethnic minorities and LQBTQ or questioning YEH. We plan to report on the location categories that YEH access the internet and examine correlates with psychological experiences of substance use, depression, and trauma. Smartphones will allow us to assess what future potential programs are needed to make mental health and substance use resources more readily available and accessible to YEH by studying the patterns and needs of this population.

Semantic influences on episodic memory distortions.

Prior knowledge has long been known to shape new episodic memories. However, it is less clear how prior knowledge can scaffold the learning of a new class of information, and how this can bias memory for the episodes that contributed to its acquisition. We aimed to quantify distortions in episodic memories resulting from the use of prior category knowledge to facilitate learning new information. Across 4 experiments, participants encoded and retrieved image-location associations. Most members of a category (e.g., birds) were located near each other, such that participants could leverage their prior category knowledge to learn the spatial locations of categories as they encoded specific image locations. Critically, some typical and atypical category members were in random locations. We decomposed location memory into 2 measures: error, a measure of episodic specificity; and bias toward other category members, a measure of the influence of newly-learned information about category locations. First, we found that location memory was more accurate for images whose locations were spatially consistent with their category membership. Second, when images were spatially inconsistent (i.e., in random locations), retrieval of typical category members was more biased toward their category's location relative to atypical ones. These effects replicated across 3 experiments, disappeared when images were not arranged by category, and were stronger than effects observed with images arranged by visual similarity rather than category membership. Our observations provide compelling evidence that memory is a reconstruction of multiple sources of prior knowledge, new learning, and memory for specific events. (PsycInfo Database Record (c) 2021 APA, all rights reserved).

THE EFFECTS OF BLUE DOCUMENTARY ON VIEWERS’ PERCEPTIONS AND ATTITUDINAL CHANGE TOWARD MARINE LIFE CONSERVATION

Background and Purpose: This study’s aim was to examine the persuasive effects of a blue documentary (BD), representing marine life extinction on viewers’ perceptions and their attitudinal change toward conservation.&#x0D; &#x0D; Methodology: This study selected 36 participants using purposive sampling technique, according to the characteristics of their location and age categories. A total of 72 semi-structured interviews were conducted in two stages – the pre- and post-viewing of the documentary. A documentary program of Lestari Ujana Marin (LUM) was the media text used in gathering the necessary data. The data were then perused qualitatively through the employment of thematic analysis.&#x0D; &#x0D; Findings: The findings suggest that the participants’ perceptions and attitudinal changes were more positive toward marine life conservation after being exposed to the documentary. The attitudinal changes have been sustainable and exhibited through the participants’ real actions in supporting marine life conservation.&#x0D; &#x0D; Contributions: This study paves the way for collaboration between experts in different fields, such as filmmakers, oceanologists, and non-governmental organizations, who are fundamentally concerned in disseminating knowledge about environmental conservation for the benefits of future generations.&#x0D; &#x0D; Keywords: Media, blue documentary, persuasion, pro-conservation, marine life, young generation.&#x0D; &#x0D; Cite as: Mat, N. H., Rashid, R. A., Che Noh, C. H., &amp; Said Al-Rawahi, M. A. (2021). The effects of blue documentaries on viewers’ perceptions and attitudinal change toward marine life conservation. Journal of Nusantara Studies, 6(2), 379-402. http://dx.doi.org/10.24200/jonus.vol6iss2pp379-402

Finding Location Visiting Preference from Personal Features with Ensemble Machine Learning Techniques and Hyperparameter Optimization

For the question regarding the relationship between personal factors and location selection, many researches support the effect of personal features for personal location favorite. However, it is also found that not all of personal factors are effective for location selection. In this research, only distinguished personal features excluding meaningless features are used in order to predict visiting ratio of specific location categories by using three different machine learning techniques: Random Forest, XGBoost, and Stacking. Through our research, the accuracy of prediction of visiting ratio to a specific location regarding personal features are analyzed. Personal features and visited location data had been collected by tens of volunteers for this research. Different machine learning methods showed very similar tendency in prediction accuracy. As well, precision of prediction is improved by application of hyperparameter optimization which is a part of AutoML. Applications such as location based service can utilize our result in a way of location recommendation and so on.

Community mobility reports predict the national spread of COVID-19 in Indonesia in the new normal era

Indonesia government encouraging to new normal life with obeys the health protocol. In Malaysia, the new normal had a significant impact on mobility trends. This study aimed to analyze the community mobility trend (including six categories) and coronavirus disease (COVID-19) daily cases in Indonesia in new normal era. An observational analytic using cross-sectional design. The community mobility data, include mobility trends for six different location categories, were obtained from Google COVID-19 Community Mobility Reports from May 15-July 14, 2020. The Indonesian’s COVID-19 daily cases data were taken from (http://covid19.go.id//) from May 15-July 17, 2020. Time-lag correlation to analyzed community mobility of each location category and COVID-19 daily cases in Indonesia using Pearson Correlation with significance ≤0.05. Recreation, parks, and transit stations have positively strong to very strong, while the residential has negatively strong, and the grocery and pharmacy and workplaces were positively weak to moderate correlations. The community mobility was significantly correlated with the COVID-19 transmission in Indonesia during new normal era, especially in transit stations, retail and recreation. Indonesia government is expected to improve their effort to manage the COVID-19 transmission and consider new policy to curb the COVID-19 transmission.

THE LEED-COMMERCIAL INTERIORS (V4) PROJECTS IN CALIFORNIA

ABSTRACT This study analyzed the Leadership in Energy and Environmental Design for Commercial Interior Certified, Silver, and Gold projects version 4.0 (LEED-CIv4) in California for the period 2015‒2020. Nonparametric tests were used to assess category and credit achievement, i.e., the difference between possible and achieved points and the correlation between associated credits. The results show that most of the credits in the location and transportation category and the indoor environmental quality categories had a high level of achievement, a few credits in the energy and atmosphere and materials and resources categories had a high level of achievement, and all of the credits in the water efficiency category had a low level of achievement. Some associated credits, such as surrounding density and quality transit, had a high level of achievement and a positive correlation, whereas other associated credits, such as life-cycle impact reduction and environmental product declarations, had a low level of achievement and a positive correlation. If LEED-CIv4 credits meet the requirements of the California Green Building Standards Code 2016 (CGBSC 2016), then these credits typically have a medium/high level of achievement. If LEED-CIv4 credits exceed the requirements of CGBSC 2016, then these credits have a low level of achievement. Therefore, to improve the next version of LEED-CI, it is necessary to improve the local green codes.

Tip-in Endoscopic Mucosal Resection for 15- to 25-mm Colorectal Adenomas: A Single-Center, Randomized Controlled Trial (STAR Trial).

One-piece endoscopic mucosal resection (EMR) for lesions >15 mm is still unsatisfactory, and attempted 1-piece EMR for lesions >25 mm can increase perforation risk. Therefore, modifications to ensure 1-piece EMR of 15- to 25-mm lesions would be beneficial. The aim of this study was to investigate whether Tip-in EMR, which anchors the snare tip within the submucosal layer, increases en bloc resection for 15- to 25-mm colorectal lesions compared with EMR. In this prospective randomized controlled trial, patients with nonpolypoid colorectal neoplasms of 15-25 mm in size were recruited and randomly assigned in a 1:1 ratio to undergo Tip-in EMR or standard EMR, stratified by age, sex, tumor size category, and tumor location. The primary endpoint was the odds ratio of en bloc resection adjusted by location and size category. Adverse events and procedure time were also evaluated. We analyzed 41 lesions in the Tip-in EMR group and 41 lesions in the EMR group. En bloc resection was achieved in 37 (90.2%) patients undergoing Tip-in EMR and 30 (73.1%) who had EMR. The adjusted odds ratio of en bloc resection in Tip-in EMR vs EMR was 3.46 (95% confidence interval: 1.06-13.6, P = 0.040). The Tip-in EMR and EMR groups did not differ significantly in adverse event rates (0% vs 4.8%) or median procedure times (7 vs 5 minutes). In this single-center randomized controlled trial, we found that Tip-in EMR significantly improved the en bloc resection rate for nonpolypoid lesions 15-25 mm in size, with no increase in adverse events or procedure time.

Thermal comfort assessment over the past two decades in different landscape areas within Palembang City

Urbanization has an impact on changing landscapes to built-up land so that it triggers changes in microclimate conditions and potentially disrupts the thermal comfort of urban communities. For two decades, the condition of air temperature and thermal comfort at two locations (Sukarami and Sako) in Palembang city with different landscape changes have been assessed in this study. The variations of air temperature over the past two decades were reported. The Temperature Humidity Index (THI) was an indicator for assessing thermal comfort and its values are categorized as comfortable, quite comfortable, and uncomfortable. The results showed that the air temperature in Sako increased by about two times greater than the increase at Sukarami which was 1.1 °C and 0.5 °C. This study clearly reveals that thermal comfort conditions have worsened in the last two decades. During 1999, the THI values were dominated by quite comfortable categories at both locations. After two decades, in 2019, the percentage of days in the quite comfortable category of both locations decreased by almost 60% at Sukarami and more than 80% at Sako. The main factor this difference occurs is the landscape changes with depletion of vegetation area at both locations.