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 on the spatiotemporal pattern and driving force of the spatial deviation index of grain and economy in counties in China. by Jia Chen, Kuan Zhang

“…The results show that (1) from 2000 to 2019, China's SDIGE showed a development trend of "up-down-up," and the highest SDIGE was in the northeast region, the lowest in the east region, and the spatial pattern of "high in the northeast-low in the east coast" was increasingly prominent. (2) In terms of spatial difference, the overall difference of SDIGE in China from 2000 to 2019 showed a rising trend of development; The average contribution rate of the regional difference to the overall difference was the lowest, maintained at about 17.82%; The average contribution rate of intra city and inter-county differences to the overall difference is the highest, which is about 34.20%. (3) In terms of the driving force, the level of economic development hurts SDIGE, while population density, industrial structure, fiscal decentralisation, and terrain fluctuation have a positive and negative impact on SDIGE. …”
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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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Eutrophication and urbanization enhance methane emissions from coastal lagoons by Stefano Bonaglia, Henry L. S. Cheung, Tobia Politi, Irma Vybernaite‐Lubiene, Tristan McKenzie, Isaac R. Santos, Mindaugas Zilius

“…Here, we hypothesize that eutrophication and population density will turn coastal lagoons into stronger methane emitters. …”
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A Review of Ecological Factors Associated with the Epidemiology of Wildlife Trypanosomiasis in the Luangwa and Zambezi Valley Ecosystems of Zambia by Hetron Mweemba Munang'andu, Victor Siamudaala, Musso Munyeme, King Shimumbo Nalubamba

“…This ecological niche lies in the common tsetse fly belt that harbors the highest tsetse population density in Southern Africa. Ecological factors such as climate, vegetation and rainfall found in this niche allow for a favorable interplay between wild reservoir hosts and vector tsetse flies. …”
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Evaluation of Strategic Noise Maps Arising from Urban Traffic by Şafak Hengirmen Tercan, Gökhan Yaman

“…In this study, strategic noise maps arising from the road traffic in Gaziantep with high population density were created with traffic counts and simulation program. …”
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Amur Softshell Turtle (<i>Pelodiscus maackii</i>) Population Size, Structure, and Spatial Distribution by Xiaochen Hou, Haitao Shi

“…This study aims to investigate the population density and structure of ASTs in the Jewellery Island area of the Ussuri River in Northeast China using continuous-time capture–recapture methods in closed populations. …”
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Assessment of the Potential Flood Risk in Sarbaz Drainage Basin by Asadollah Mollazehi, MohammadReza Pudineh, Mahmood Khosravi, Mohsen Armesh, AliAsghar Dehvari

“…Despite the limited area of the high-risk zone, due to population density and agricultural land, the importance of this area is very high in crisis management.…”
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Measures of Spatial and Demographic Disparities in Access to Urban Green Space in Harbin, China by Qian Xie, Ming Lu

“…Demographic disparities were also identified in the study: females have less access to UGS than males, areas with a high birth rate generally have more access, and population density is negatively associated with UGS access. …”
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A Survey of Bedbug (Cimex lectularius) Infestation in Some Homes and Hostels in Gboko, Benue State, Nigeria by Onah Isegbe Emmanuel, Alu Cyprian, Omudu Edward Agbo

“…The greater number of infestation recorded in the hostels was as a result of poor hygiene, lack of adequate knowledge of the best control practices and the high population density. In homes, lack of the awareness of the resurgence of the emerging pest and lack of proper health education is responsible for the high infestation. …”
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