PREVALENCE OF INTESTINAL HELMINTHIASIS IN CHILDREN AT NORTH KEPUTRAN SURABAYA AT 2017 by Hana Naili Prasetyo, Heru Prasetyo

“…It is located at the riverbank and the majority people are immigrants that lead to population density and slum. Methods: This descriptive observational study anal swab specimens with Scotch adhesive tape swab method and fecal specimen were examined microscopically at the Laboratory of Parasitology, Faculty of Medicine, Airlangga University. …”
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Unraveling the impact of social media involvement on public health participation in China: mediating roles of social support, social trust, and social responsibility by Wanqi Gong, Xigen Li, Yusi Zhang

“…Abstract Public health participation plays a significant role in reducing risks and protecting community members during public health emergencies, especially in China due to its pronounced population density and the imperative for concerted public coordination to achieve the goal of public health protection. …”
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The Relationship between Land Subsidence and Water Use in Yazd-Ardakan Plain Using Sentinel-1 Images by Mohammadreza Goodarzi, Maryam Sabaghzadeh, Amirreza Rajabpour niknam

“…The Yazd-Ardakan plain is one of the main plains in Yazd province, hosting 75% of the province's population density and most industrial centers. Additionally, this plain has been subjected to a ban by the Ministry of Energy due to a sharp decline in groundwater levels. …”
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A Deep Multi-Task Learning Model for OD Traffic Flow Prediction Between Highway Stations by Yaofang Zhang, Jian Chen, Jianying Rao

“…At the same time, the attraction intensity matrix between stations is constructed using the population density data as the external feature of the sub-task module for outlet outflow flow, and stronger constraints between tasks are introduced to achieve better fitting results. …”
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SOCIAL CAPITAL AND AIR POLLUTION: EVIDENCE FROM TURKEY by Cuma Demirtaş, Munise Ilıkkan Özgür

“…In addition, it is deduced that population density is a pre-determinant of the rise in air pollution for all panel groups studied, while the hypothesis that social capital index has a significant impact on the latter variable is rejected. …”
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Shedding light on development: Leveraging the new nightlights data to measure economic progress. by Prachi Jhamb, Susana Ferreira, Patrick Stephens, Mekala Sundaram, Jonathan Wilson

“…Our findings suggest that even after controlling for population density, the harmonized NTL remain a strong predictor of the wealth index. …”
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Task Grid-Based Urban Environmental Information Release Mechanism for Mobile Crowd Sensing by Zhenwei Chen, Yang Lu, Zusong Li, Xiancun Zhou

“…Because the environmental information of a city is affected by factors such as landforms, buildings, rivers, factories, population density, and traffic flow, there are great differences in the environmental information of different areas in a city. …”
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A Spatial Index for Identifying Opportunity Zones for Woody Cellulosic Conversion Facilities by Xia Huang, James H. Perdue, Timothy M. Young

“…A landscape index was developed using factors such as forest land cover area, net forest growth, ownership type, population density, median family income, and farm income. …”
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Rapid assessment of the riparian zone habitat of river by R.A.L. Amper, G.R. Puno, R.C.C. Puno

“…Other factors including land cover, population density, and river geomorphologic characteristics contributing to the river condition were also evaluated. …”
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Analysis and Optimization of the Spatial Patterns of Commercial Service Facilities Based on Multisource Spatiotemporal Data and Graph Neural Networks: A Case Study of Beijing, Chin... by Yihang Xiao, Cunzhi Li, Zhiwu Zhou, Dongyang Hou, Xiaoguang Zhou

“…This paper utilizes multisource spatiotemporal data, employing geographic spatial analysis methods and graph neural network models to explore the spatial structure of commercial service facilities in Beijing and their relationships with population density and land use, thereby achieving a detailed classification of the commercial service patterns at the natural neighborhood scale. …”
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Forecast generation model of municipal solid waste using multiple linear regression by J.A. Araiza-Aguilar, M.N. Rojas-Valencia, R.A. Aguilar-Vera

“…The most important variables to predict the rate of waste generation in the study area were the population of each municipality, the migration and the population density. Although other variables, such as daily per capita income and average schooling are very important, they do not seem to have an effect on the response variable in this study. …”
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The Responses of the Quantitative Characteristics of a Ramet Population of the Ephemeroid Rhizomatous Sedge Carex physodes to the Moisture Content of the Soil in Various Locations... by Buhailiqiemu Abudureheman, Huiliang Liu, Daoyuan Zhang, Kaiyun Guan, Yongkuan Zhang

“…The aboveground biomass, underground biomass, biomass density, and population density at the peak were significantly higher than elsewhere on the dune. …”
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Paradigm Shift in Typhoon Forecasting for the Korean Peninsula: A Case Study on the Applicability of the Typhoon-Ready System by Hana Na, Woo-Sik Jung

“…By integrating vulnerability factors, including population density, infrastructure aging, and urbanization levels, the TRS provides a more holistic and accurate risk assessment. …”
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An Easy-to-Use Method for Assessing Nitrate Contamination Susceptibility in Groundwater by Daniela Ducci

“…The urban source considers leakages from the sewage network and, consequently, it depends on the anthropogenic pressure, expressed by the population density, particularly concentrated in the urbanized areas (Urban Potential Nitrate Contamination (UPNC) map). …”
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Temporal and Spatial Pattern of Pulmonary Tuberculosis in Gansu Province and Its Environmental Factors Detection and Analysis by Haili Zhao, Jun Wang, Minghui Wu

“…Although the meteorological influence in adjacent regions shows certain convergence, the change in wind speed has no significant influence on the risk of pulmonary tuberculosis. (3) PM₁₀, altitude, temperature, population density and GDP per capita have strong explanatory power to the incidence of tuberculosis, and the interaction between any two factors exceeds the effect of a single factor in explanatory power, showing the characteristics of two-factor enhancement and nonlinear enhancement.…”
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Growth and senescence of mavuno, marandu, ipyporã and mulato II grasses subjected to stockpiling by Bruno Humberto Rezende Carvalho, Gustavo Segatto Borges, Dallety Haloma Alves Miler de Oliveira, Geovana Lopes Nascimento, Khazuê Ubagai Machado, Manoel Eduardo Rosalino Santos

“…The leaf appearance (LApR) and elongation rate (LElR), stem elongation rate, tiller population density, growth rates at canopy level, as well as canopy leaf senescence rate showed higher values at the beginning in relation to the end of the stockpiling period. …”
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ETHOLOGICAL MECHANISMS OF THE MAINTENANCE OF COAT COLOR POLYMORPHISM IN THE POPULATION OF THE NORTHERN RED-BACKED VOLE (MYODES RUTILUS) ROUND NOVOSIBIRSK by O. F. Potapova, M. A. Potapov, V. V. Panov, V. I. Evsikov

“…All these features give the aberrant males an advantage at high population density and intensity of social competition as early as the beginning of the mating season. …”
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Asian seabass (Lates calcarifer) larval rearing using cyclopoid copepod (Apocyclops royi) live feed: A new approach by Radha Vijayaraj, Mani Jayaprakashvel, Kareem Altaff

“…Results Mass culture of A. royi with C. saccharophilum diet reached population density of 12,700 ± 454 ind./L on 21 days culture period. …”
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Influencing Factors and Clustering Characteristics of COVID-19: A Global Analysis by Tianlong Zheng, Chunli Zhang, Yueting Shi, Debao Chen, Sheng Liu

“…Results showed that the extreme random forest regression (ERFR) model had the best performance, and factors such as population density, ozone, median age, life expectancy, and Human Development Index (HDI) were relatively influential on the spread and diffusion of COVID-19 in the ERFR model. …”
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Article Title Article Title Pattern analysis using fuzzy VIKOR in locating educational facilities district Case Study: District 14 of Tehran Metropolis by behnaz amin nayeri, yaghoub peyvastehgar

“…In large urban areas like Tehran, for various reasons such as high population density and scarcity of land, these problems intensified. …”
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