Extending the Intermediate Data Structure (IDS) for longitudinal historical databases to include geographic data by Finn Hedefalk, Lars Harrie, Patrick Svensson

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The Research of Coal and Gas Outburst Warning Based on Logistic Regression and Geographic Information System by Bo You, Bo Li, Shi Liang Shi, He Qing Liu, Yi Lu, He Li

“…The design and research of the coal and gas outburst warning system are carried out based on the geographic information system (GIS). The coal and gas outburst warning system was verified by taking the Tunliu mine of Lu’an Group as an example. …”
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The geographical digital divide in broadband access and governmental policies in Japan: three case studies by Yoshio Arai, Sae Naganuma

“…Although broadband access has spread to a certain degree in developed countries/regions, geographical gaps in broadband access (the so-called “geographical digital divide”) remain. …”
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Coccidia Species and Geographical Distribution in Genus <i>Sus:</i> A Scoping Review by Hongyu Han, Hui Dong, Qiping Zhao, Shunhai Zhu, Bing Huang

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A Fault Tolerance Optimization Model of the China Railway Geographic Network Topological Structure by Fenling Feng, Ziwen Tang, Lei Wang

“…Firstly, Poisson distribution of the China Railway geographic network is verified and fitted. Secondly, the “Twelfth Five-Year Plan” of the railway geographic network is chosen as an example on which a macro model is built. …”
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Using causal diagrams and superpopulation models to correct geographic biases in biodiversity monitoring data by Robin J. Boyd, Marc Botham, Emily Dennis, Richard Fox, Collin Harrower, Ian Middlebrook, David B. Roy, Oliver L. Pescott

“…Otherwise, the data are geographically biased, and some form of correction is desirable. …”
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APPLICATION OF MULTIVARIATE ANALYSIS OF TRANSMISSION SPECTRA TO IDENTIFY WINES WITH PROTECTED GEOGRAPHICAL INDICATION (IGP) by M. A. Khodasevich, E. A. Scorbanova, L. I. Obade, N. F. Degtуar, E. I. Cambur, M. V. Rogovaya

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Geographical Distribution of the Genus Myrmoteras, Including the Description of A New Species (Hymenoptera: Formicidae) by Robert E. Gregg

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Extending the Intermediate Data Structure (IDS) for longitudinal historical databases to include geographic data by Finn Hedefalk, Lars Harrie, Patrick Svensson

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Organizational structure of the Mangalarga herd and the influence of geographic distribution and different coats on the genetic diversity by Andreza Correia da Silva, Juliano Martins Santiago, Jorge Eduardo Cavalcante Lucena, Caline Angélica de Menezes Sá Nascimento, Janaina Kelli Gomes Arandas, Laura Leandro da Rocha, Ana Paula Gomes Pinto

“…ABSTRACT The objective was to describe the organizational structure of the Mangalarga herd and evaluate the influence of geographic distribution and different coats on the population structure and genetic diversity. …”
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Extending the Intermediate Data Structure (IDS) for longitudinal historical databases to include geographic data by Finn Hedefalk, Lars Harrie, Patrick Svensson

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Geographical Discrimination of Ground Amazon Cocoa by Near-Infrared Spectroscopy: Influence of Sample Preparation by Fabielle Negrão Ferreira, Gilson Celso Albuquerque Chagas-Junior, Mozaniel Santana de Oliveira, Jhonatas Rodrigues Barbosa, Marcos Enê Chaves Oliveira, Alessandra Santos Lopes

“…Cocoa samples from different geographic regions of the state of Pará, Brazil (Medicilândia, Tucumã, and Tomé-Açu), were evaluated. …”
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Climate change influences on the potential geographic distribution of the invasive Asian longhorned tick, Haemaphysalis longicornis by Mohammed Okely, Ze Chen, Eslam Adly, Mahmoud Kamal

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La carte et la plume, entretien avec Michel Bussi, géographe et romancier by Armelle Choplin, Marie Redon

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The Genetic Diversity and Geographic Differentiation of the Wild Soybean in Northeast China Based on Nuclear Microsatellite Variation by Hongkun Zhao, Yumin Wang, Fu Xing, Xiaodong Liu, Cuiping Yuan, Guangxun Qi, Jixun Guo, Yingshan Dong

“…The Mantel test revealed that genetic distance was significantly correlated with geographical distance (r=0.207, p<0.05). Furthermore, spatial autocorrelation analysis showed that there was a spatial structure (ω=119.58, p<0.01) and the correlation coefficient (r) decreased as distance increased within a radius of 250 km.…”
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Assessment of the Geographical Factors Contributing to the Occurrence of the Flood and Flash Flood in Şanlıurfa on March 15, 2023 by Mustafa Recep İrcan, Neşe Duman

“…This study was prepared to evaluate the geographical factors that are effective in the formation of the flood and flash floods that occurred in Şanlıurfa on 15 March 2023 and 16 people lost their lives. …”
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Book Review: Geographical Imaginations: Literature and the ‘Spatial Turn’ by Indranil Acharya and Ujjwal Kumar Panda by Debdas Roy

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The Flowering Characters Variation Among Floral Variants and Landraces Along Geographical Gradients in Gunung Sewu by Yeni Widyana Nurcahyani Cahyaningrum, Sapto Indrioko, Eny Faridah, Atus Syahbudin

“…This research aimed to determine flowering of these variants among three of land-races which were representing geographical zone in Gunung Sewu: Nglanggeran, Blebera, and Petir. …”
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Movements of the Glandirana Frogs in Japan and South Korea: A Strategy for Defining Geographical Movements of Amphibians by Akira Oike, Koji Tojo, Yoriko Nakamura, Etsuro Ito, Masahisa Nakamura

“…The movements of the Glandirana frogs in Japan and South Korea obtained as results of this study will help scientists to understand the geographical changes that took place during the formation of the Japanese islands. …”
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Time-Series Analysis of Continuously Monitored Blood Glucose: The Impacts of Geographic and Daily Lifestyle Factors by Sean T. Doherty, Stephen P. Greaves

“…Overall, the time-series analysis revealed considerable patient-by-patient variation in the effects of geographic and daily lifestyle factors. We would suggest that maps of BG spatial variation or an interactive messaging system could provide new tools to engage patients and highlight potential risk factors.…”
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