First-Principles Calculation and Analysis of the Magnetic and Mechanical Properties of Mo₂C with Vacancy Defects and Substitutional Doping by Xiaoliang Qing, Jing Guo, Xiaoxiao Liu, Qian Zhang, Tammam Kaid, Nathan Outterside, Cong Tang, Li Wang, Qingxiang Yang, Xuejun Ren

“…The changes in key magnetic properties (local and total magnetic moments) associated with different point substitutional doping elements are comparatively analysed with reference to the data of Mulliken atomic charge, bond population, density of states (DOS) and band structures. …”
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Spectroscopic (FT-IR and FT-Raman) and quantum chemical study on monomer and dimer of benznidazole from DFT and molecular docking approaches by Tirth Raj Paneru, Manoj Kumar Chaudhary, Poonam Tandon, Bhawani Datt Joshi, Beatriz Pinheiro Bezerra, Alejandro Pedro Ayala

“…The negative value of the overlap population density of states (OPDOS) both in monomer and dimer indicate that there are anti-bonding orbitals between the acetamide and the benzyl groups of the compound. …”
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Enhancing Spatial Allocation of Pediatric Medical Facilities for Reduced Travel-Related CO₂ Emissions: A Case Study in Tianjin, China by Hongjie Dong, He Zhang, Rui Wang, Yutong Zhang, Yuxue Zhang, Lisha Zhang

“…The results show that (1) travel-related CO₂ emissions for pediatric medical-seeking are the highest in the city center, outpatient-related CO₂ emissions surpass inpatient ones, and children’s hospital-related CO₂ emissions are higher than those related to comprehensive hospitals, from which potential carbon reduction points can be explored; (2) children’s hospitals with multibranch and composite functional allocations can significantly reduce CO₂ emissions; (3) comprehensive hospitals can further alleviate CO₂ emissions from children’s hospitals by enhancing the medical level, transportation infrastructure, population distribution, and other spatial environmental factors; (4) from the perspective of low-carbon travel and equity, a spatial allocation strategy should be adopted for children’s hospitals that includes multiple branches and composite functions, while comprehensive hospitals should focus on service capacity, parity, supply–demand ratio, and the population density of children.…”
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Inter-agency collaboration in building urban fire resilience in Indonesia: how do metropolitan cities address it? by Ahmad Harakan, Yusuf Adam Hilman, A. Junaedi Karso, Awaluddin Awaluddin, Nurhalijah Nurhalijah, Indah Sidrawaty Muin, Aldy Nurdiansyah B, Arfan Fadillah, Rudi Hardi

“…This study focuses on Makassar, a metropolitan city facing increasing fire risks due to high population density, aging infrastructure, and limited preparedness.MethodsThis research employs a qualitative approach, drawing on fire incident data from 2018 to 2023, interviews, and historical analysis to assess collaboration mechanisms in fire disaster management. …”
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Every little helps: exploring meat and animal product consumption in the Tesco 1.0 dataset by Rakefet Cohen Ben-Arye, Christopher Bryant, Katharina Hofmann

“…In line with our hypotheses, a lower proportion of meat consumed could be observed in areas with higher population density, better health, and more Hindus. The purpose of this paper is to add to knowledge on regional, seasonal, and sociodemographic variations in animal product consumption, as well as provide a valuable overview of animal product consumption using a novel data source that comprises actual purchase data rather than self-reported consumption.…”
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Motorcycle Taxi: Initial Discussion on Guidelines for Riding Ajnabiyah Women According to The Sharia Perspective by Mohd Azhar Abdullah, Abdul Azib Hussain, Mohd Saiba Yaacob, Muhammad Lukman Ibrahim, Khairulnazrin Nasir

“…The motor industry and motorcycle taxis have a bright future. The issue of population density in cities and road systems has become a massive challenge to the country's development. …”
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Risk Factors Associated with Dengue Transmission and Spatial Distribution of High Seroprevalence in Schoolchildren from the Urban Area of Medellin, Colombia by Leidy Diana Piedrahita, Ivony Y. Agudelo Salas, Katherine Marin, Andrea I. Trujillo, Jorge E. Osorio, Sair Orieta Arboleda-Sanchez, Berta Nelly Restrepo

“…Geostatistical analysis evidenced a temporal clustering distribution of DENV seroprevalence in 2010. Population density and Ae. aegypti House Index were significantly correlated with the observed pattern. …”
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Study on the driving mechanism of spatio-temporal non-stationarity of vegetation dynamics in the Taihangshan-Yanshan Region by Jiao Pang, Minli Wang, Huicong Zhang, Liyao Dong, Jiarui Li, Yanrui Ding, Zhenzhou Zhu, Feng Yan

“…In terms of space, vegetation coverage in Yanshan region is generally higher than that in Taihang Mountain with significant spatial heterogeneity.(2) Theil-Sen Median trend and Hurst index analysis shows that about 70% of regions have shown an increasing trend in kNDVI throughout the year and will continue to increase in the future. (3) The analysis results of Optimal Parameter Geodetector Detectors (OPGD) show that evapotranspiration (ET) is the dominant driving factor of kNDVI, and the interactive enhancement benefits with other factors is significant. Population density and land surface temperature were negatively correlated with kNDVI. (4) Based on the analysis results of multi-scale geographic weighted regression (MGWR) kNDVI is positively correlated with annual cumulative precipitation and ET, and negatively correlated with annual mean temperature and altitude, and the other variables show spatial heterogeneity. …”
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Description of current status of implementation and management of cardiac arrest in China by Shuai Liu, Huadong Zhu, Nan Zhang

“…Results were combined with official information on population density. Throughout China, hospitals resuscitate according to the guideline, however, there are still differences varies in implement with regard to chest compression, ventilation, medicine, monitoring, as well as advanced life support and resuscitation skills training because of economical and developmental level from different regions. …”
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Population dynamics of the mouflon (Ovis aries musimon) in South-West Poland in 1981–2020 by Grzegorz Kopij

“…Using hunting bags data, spatial and temporal changes in population densities of the mouflon in 1981–2020 in south-west Poland (29 358 km2, including 8411 km2 forests) have been analysed. …”
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Spatial associations of Hansen's disease and schistosomiasis in endemic regions of Minas Gerais, Brazil. by Jessica L Stephens, Lucia A O Fraga, José A Ferreira, Laura De Mondesert, Uriel Kitron, Julie A Clennon, Jessica K Fairley

“…A multivariate non-spatial analysis found that census tracts with MB disease were more likely to have schistosomiasis when adjusted for population density, household density, and household income (aOR = 1.7, 95% CI 1.0, 2.7). …”
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Organization of the regional cancer service to improve the detection of malignant new formations during the COVID-19 pandemic by S. V. Golubev, V. Yu. Startsev, Yu. V. Samsonov

“…To increase the detection of malignant neoplasms, it’s necessary to provide examination rooms in the districts of the MagO; drawing up a "map of contamination of the territory"; assessment of the conditions of human production activity and population density; introduction of the standard of examination of patients with cancer; increasing the alertness and qualifications of primary outpatient medical personnel.…”
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Significant room for improvement in the prehospital assessment and treatment of acute abdominal pain: a retrospective observational study by Rasmus Bjerén, Carl Magnusson, Johan Herlitz, Denise Bäckström

“…The region had a population density of 15.7 inhabitants per square kilometer spread over a mix of small urban and rural settings. …”
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Spatial heterogeneity in deployment and upscaling of wind power in Swedish municipalities by Yodefia Rahmad, Fredrik Hedenus, Jessica Jewell, Vadim Vinichenko

“…Municipalities with the highest large-scale deployment typically have extensive forest cover, low population density and wind speeds within a lower median range relative to the national median. …”
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The built environment and place attachment: Insights from Japanese cities by Jiuling Li, Mohammad Javad Koohsari, Andrew T. Kaczynski, Ryo Tanimoto, Reo Watanabe, Tomoki Nakaya, Yufeng Luo, Jing Zhao, Akitomo Yasunaga, Koichiro Oka, Tomoya Hanibuchi

“…Results: For individual metrics, three objective measures—availability of destinations, population density, and street integration—were positively associated with place attachment. …”
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Dispatcher-Assisted Cardiopulmonary Resuscitation: Disparity between Urban and Rural Areas by Yen-Chin Chen, Shao-Hua Yu, Wei-Jen Chen, Li-Chi Huang, Chih-Yu Chen, Hong-Mo Shih

“…The 29 districts of Taichung city were divided into urban and rural areas based on whether the population density is more than 1,000 people per square kilometer. …”
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Under a not so white sky: visual impacts of stratospheric aerosol injection by Ansar Lemon, David W Keith, Steve Albers

“…We consider stratospheric aerosol loadings required to produce radiative forcings of −1, −2, and −4 W m ^−2 . We use population density and AOD data to compute the distribution of AODs people experience and then simulate sky images for the 10th, 50th, and 90th percentiles of that distribution. …”
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“site suitability analysis for integrating large-scale hybrid photovoltaic and concentrated solar power plants in Cameroon using Monte Carlo, analytic hierarchy process, and geogra... by Fotsing Metegam Isabelle Flora

“…Twelve critical factors, such as solar irradiation, infrastructure proximity, and population density, were evaluated to assess land suitability for solar energy development. …”
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Modeling optimal combination of breast and cervical cancer screening strategies in China by Xuewei Liu, Yanbo Wang, Bei Gao, Xinlin Lu, Yuan Wang, Wenli Lu

“…Optimizing screening strategies for breast and cervical cancers is a challenge in resource-limited settings with a high population density such as China. Therefore, we aimed at assessing the efficiency of different combined screening strategies for breast and cervical cancers under different budgets in China. …”
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Spatial identification of regions exposed to multi-hazards at the pan-European level by T.-E. Antofie, T.-E. Antofie, S. Luoni, A. Tilloy, A. Sibilia, S. Salari, G. Eklund, D. Rodomonti, C. Bountzouklis, C. Corbane

“…We find that beyond population density, the income level (i.e. high, medium, low) is the primary driver that influences risk status at the local level, within both rural and urban areas. …”
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