Blocks identical by descent in the genomes of the indigenous population of Siberia demonstrate genetic links between populations by N. A. Kolesnikov, V. N. Kharkov, K. V. Vagaitseva, A. A. Zarubin, V. A. Stepanov

“…The distribution of IBD blocks in the populations of Siberia is in good agreement with the geographical proximity of the populations and their linguistic affiliation. …”
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Classification of North Atlantic and European extratropical cyclones using multiple measures of intensity by J. Cornér, C. Bouvier, B. Doiteau, B. Doiteau, F. Pantillon, V. A. Sinclair

“…The cluster analysis is able to produce four clusters between which ETCs differ in terms of their intensity, life cycle characteristics such as deepening rate and lifetime, and geographical location. A fourth of all ETCs belong to the weakest cluster and occur mostly over Europe and in the Mediterranean area. …”
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Prevalence and epidemiological characteristics of inmates diagnosed with infectious diseases living in a region with a high number of prisons in São Paulo state, Brazil by Charlene Troiani do Nascimento, Danilo Zangirolami Pena, Rogério Giuffrida, Fernanda Nobre Bandeira Monteiro, Francisco Assis da Silva, Edilson Ferreira Flores, Luiz Euribel Prestes-Carneiro

“…Locations of prisons were obtained and maps were constructed using geographic information systems.Results A total of 741 of 37 497 inmates (1.97%) were diagnosed with HIV, HBV, HCV, syphilis or TB. …”
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Identifying the healthy places to live in Australia with a new environmental quality health index by Shuang Zhou, Zhihu Xu, Wenzhong Huang, Yao Wu, Rongbin Xu, Zhengyu Yang, Pei Yu, Wenhua Yu, Tingting Ye, Bo Wen, Shanshan Li, Yuming Guo

“…Each interquartile increase in EQHI-all cause reduced all-cause mortality risk by 10 %, with similar reductions for cardiovascular and respiratory mortality. Geographically, EQHIs were higher in south, east, and southeast coastal regions. …”
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Evaluation of potential productivity in coniferous forests by integrating field data and aerial laser scanning in Hidalgo, México by Rodrigo Ramos-Madrigal, Héctor M. de los Santos-Posadas, José René Valdez-Lazalde, Efraín Velasco-Bautista, Gregorio Ángeles-Pérez, Alma Delia Ortiz-Reyes

“…The integration of both models into a Geographic Information System (GIS) allowed the spatially explicit construction of an accurate mosaic of the DH and site index to classify stand productivity in the study area. …”
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Assessing water dependencies and risks in Dutch industries: Distribution, consumption and future challenges by C.J. Teo, J. Poinapen, J.A.M.H. Hofman, T. Wintgens

“…This research examined the water dependencies and associated risks in Dutch industries by focusing on three main aspects: the geographical distribution of industrial clusters relative to water sources, water consumption and its economic value across different sectors, and future water stress scenarios with their regional implications. …”
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Global, regional, and national burden of early-onset colorectal cancer from 1990 to 2021: a systematic analysis based on the global burden of disease study 2021 by Yang Meng, Zongbiao Tan, Junhai Zhen, Di Xiao, Liwei Cai, Weiguo Dong, Changzheng Chen

“…The burden varied with sex, SDI, and geographical locations. Given the rising trend of EOCRC burden, coordinated efforts are needed to reduce the burden posed by this malignancy.…”
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Seasonality of host-seeking Ixodes ricinus nymph abundance in relation to climate by Hoch, Thierry, Madouasse, Aurélien, Jacquot, Maude, Wongnak, Phrutsamon, Beugnet, Fréderic, Bournez, Laure, Cosson, Jean-François, Huard, Frédéric, Moutailler, Sara, Plantard, Olivier, Poux, Valérie, René-Martellet, Magalie, Vayssier-Taussat, Muriel, Verheyden, Hélène, Vourc’h, Gwenaël, Chalvet-Monfray, Karine, Agoulon, Albert

“…Specifically, global warming could increase the probability of emerging infectious diseases, notably because of changes in the geographical and seasonal distributions of disease vectors such as mosquitoes and ticks. …”
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Analysis of the spatial pattern and causes of ecological environmental quality in Myanmar based on the RSEI model and the Geodetector-GCCM method by Shuangfu Shi, Shuangfu Shi, Shuangyun Peng, Shuangyun Peng, Zhiqiang Lin, Zhiqiang Lin, Bangmei Huang, Dongling Ma, Dongling Ma, Ziyi Zhu, Ziyi Zhu, Yilin Zhu, Yilin Zhu, Rui Zhang, Ting Li

“…Furthermore, by innovatively integrating the Geodetector and Geographical Convergent Cross Mapping (GCCM) methods, this study systematically analyzed the impacts and causal relationships of various factors on the spatiotemporal differentiation of EEQ. …”
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Digital Tools, Technologies, and Learning Methodologies for Education 4.0 Frameworks: A STEM Oriented Survey by Angeliki Boltsi, Konstantinos Kalovrektis, Apostolos Xenakis, Periklis Chatzimisios, Costas Chaikalis

“…Access to remote lab tools is possible by pairing simulators, emulators and actual equipment, located in various geographical locations. Under this premise, Education 4.0 defines a new learning framework aligned with the fourth industrial revolution digital requirements. …”
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How Marine Megabenthos Fauna Responds to River Discharge and Artificial Flood in Large River Estuary by Debin Sun, Qinglu Fu, Jiao Wang, Linlin Chen, Jing Chen, Yilin Wang, Baoquan Li

“…On the whole, the artificial flood reshaped the geographical distribution of megabenthic fauna in the estuarine area within 20 days, mainly as a result of the dramatic changes in seawater salinity and nutrient structure caused by flow pulse. …”
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Ethnopharmocology, phytochemistry and pharmacology of the genus Orthosiphon: A review by Rui Wang, Ling Qiu, Qing-wen Zhang, Ligen Lin

“…Don) Benth, which might be attributed to the ethnopharmacological background, geographical constraints, and the distribution of these species. …”
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Atypical Microbiological Feature of Infectious Endophthalmitis on Jeju Island: A 10-Year Study at a Single Tertiary Referral Center by Joong Hyun Park, Dong Yoon Kim, Ahnul Ha, Dae Joong Ma, Hye Jin Lee, Jinho Jeong, Jin Young Kim

“…The isolated pathogens were analyzed to determine how their microbiological features differed from those in regions with different geographical conditions. Results. Of the 49 eyes, causative microorganisms were identified in 27 eyes (55.1%). …”
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A comparison of development methods used to define portion sizes in food-based dietary guidelines around the world by Fanny Salesse, Fanny Salesse, Alison L. Eldridge, Tsz Ning Mak, Eileen R. Gibney, Eileen R. Gibney

“…This paper compares the methodologies used by public health organizations to create FBDGs and examines how both methodology and geographical location may influence recommended portion sizes.MethodsDocuments on FBDG development were obtained from the Food and Agriculture Organization online repository of FBDGs, either directly from consumer-facing FBDG or from corresponding scientific reports. …”
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Socioeconomic position across the life course and falls among middle- and older-aged adults: protocol for a systematic review by Stéphane Cullati, Anita van Zwieten, Catherine Sherrington, Fiona M Blyth, Saman Khalatbari-Soltani, Marcia R Franco, Frerik Smit

“…Cohort, case-control and cross-sectional studies with mean or median participant age of >40 years, which report on the association between at least one socioeconomic indicator across the life course and one fall outcome and are published in peer-reviewed academic journals were included. No language or geographic restrictions were imposed. Titles and abstracts were screened by one reviewer with 20% of titles and abstracts also screened by a second reviewer. …”
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Secular trends of epidemiologic patterns of chronic kidney disease over three decades: an updated analysis of the Global Burden of Disease Study 2019 by Jing Liu, Xue Li, Yongping Liu, Xiaodong Sun, Xiaojin Feng, Ningning Hou, Zhenna Chen

“…Objectives To assess the characteristics of the global death burden imposed by chronic kidney disease (CKD) and the attributable risk factors from 1990 to 2019 to help inform a framework for policy discussions, resource allocation and research priorities.Design A population-based observational study.Setting The death data and relative risk factors were obtained from the Global Burden of Disease (GBD) Study 2019 database.Main outcome measures Based on the GBD database, we estimated the death burden attributable to CKD stratified by sociodemographic index (SDI), geographic location, sex, age group, time period and risk factors from 1990 to 2019.Results Over three decade study period, the global number of CKD-related deaths increased from 0.60 million (95% uncertainty interval (UI): 0.57–0.63 million) in 1990 to 1.43 million (95% UI: 1.31–1.52 million) in 2019. …”
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Importance and fitness of family medicine milestone project from America to Taiwan by Shih-Ming Li, Yaw-Wen Chang, Ming-Nan Lin, Chi-Wei Lin, Chyi-Her Lin, Cheng-Chieh Li, Ming-Hwai Lin, Yin-Fan Chang, Zih-Jie Sun, Fang-Yih Liaw, Jaw-Shiun Tsai, Shinn-Jang Hwang, Li-Kuang Chen, Jin-Shang Wu

“…Methods We recruited 61 family medicine physicians from 25 hospitals from four major geographic areas for a Delphi round one survey and 72 physicians from 27 hospitals for a Delphi round two survey. …”
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Contrasting spatial variations between above and below-ground net primary productivity in global grasslands by Ying Hu, Yue Yang, Yu Wei, Xiaozhen Li, Yue Jiao, Jiapei Liao, Ruiyu Fu, Lichong Dai, Zhongmin Hu

“…This study compiled a dataset of 4194 field site measurements of NPP, ANPP and BNPP from 1940 to 2019, as well as climate, soil, geographic, and vegetation index data, to quantify the global patterns and potential mechanisms of the NPP and its components. …”
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Multi‐Source Perturbations in the Evolution of a Low‐Latitudinal Equatorial Plasma Bubble Event Occurred Over China by Longchang Sun, Jiyao Xu, Yajun Zhu, Wei Yuan, Hong Gao, Chunxiao Yan

“…The E × B GDI was trigged by a vertical upward plasma jet caused by a seasonal equatorward wind in regions as far as 10°N (20°N) from the geomagnetic (geographic) equator. This equatorward wind‐induced E × B GDI continuously forced topside structures of those drifting‐type EPB depletions to extend poleward more slowly, resulting in active 3.2‐m irregularities around midnight. …”
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Impact of Economic Agglomeration on Carbon Emission Intensity and Its Spatial Spillover Effect: A Case Study of Guangdong Province, China by Qian Xu, Junyi Li, Ziqing Lin, Shuhuang Wu, Ying Yang, Zhixin Lu, Yingjie Xu, Lisi Zha

“…We analyzed the impact of economic agglomeration on carbon emission intensity and its spatial spillover effect in Guangdong Province, the most economically advantaged province of China, based on a spatial weight matrix generated using geographic proximity, exploratory spatial data analysis (ESDA), and the spatial Durbin model. …”
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