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1

Gyulbudaghian, A. L. "New Southern Star-Formation Regions." Astrophysics 62, no. 3 (2019): 360–68. http://dx.doi.org/10.1007/s10511-019-09587-2.

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2

Winters, Harold A., and Harm J. de Blij. "Wine Regions of the Southern Hemisphere." Geographical Review 77, no. 1 (1987): 134. http://dx.doi.org/10.2307/214694.

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3

Sabbatini, L., F. Cavaliere, G. Dall'Oglio, et al. "Millimetric observations of southern HII regions." Astronomy & Astrophysics 439, no. 2 (2005): 595–600. http://dx.doi.org/10.1051/0004-6361:20041615.

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4

Van Rooy, Jacques, and Abraham E. Van Wyk. "The bryofloristic regions of southern Africa." Journal of Bryology 32, no. 2 (2010): 80–91. http://dx.doi.org/10.1179/037366810x12578498136039.

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5

Shahinyan, Arsen K. "The Southern Boundaries of the Southern Caucasus." Iran and the Caucasus 26, no. 4 (2022): 418–24. http://dx.doi.org/10.1163/1573384x-20220407.

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6

Fiddes, Sonya, Acacia Pepler, Kate Saunders, and Pandora Hope. "Redefining southern Australia’s climatic regions and seasons." Journal of Southern Hemisphere Earth Systems Science 71, no. 1 (2021): 92. http://dx.doi.org/10.1071/es20003.

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Climate scientists routinely rely on averaging over time or space to simplify complex information and to concisely communicate findings. Currently, no consistent definitions of ‘warm’ or ‘cool’ seasons for southern Australia exist, making comparisons across studies difficult. Similarly, numerous climate studies in Australia use either arbitrarily defined areas or the Natural Resource Management (NRM) clusters to perform spatial averaging. While the NRM regions were informed by temperature and rainfall information, they remain somewhat arbitrary. Here we use weather type influence on rainfall and clustering methods to quantitatively define climatic regions and seasons over southern Australia. Three methods are explored: k-means clustering and two agglomerative clustering methods, Ward linkage and average linkage. K-means was found to be preferred in temporal clustering, while the average linkage method was preferred for spatial clustering. For southern Australia as a whole, we define the cool season as April–September and warm season as October–March, though we note that a three-season split may provide more nuanced climate analysis. We also show that different regions across southern Australia experience different seasons and demonstrate the changing spatial influence of weather types with the seasons, which may aid regionally or seasonally specific climate analysis. Division of southern Australia into 15 climatic regions shows localised agreement with the NRM clusters where distinct differences in rainfall amounts exist. However, the climate regions defined here better represent the importance of topographical aspect on weather type influence and the inland extent of particular weather types. We suggest that the use of these regions would provide consistent climate analysis across studies if widely adopted. A key requirement for climate scientists is the simplification of data sets into both seasonally or regionally averaged subsets. This simplification, by grouping like regions or seasons, is done for a number of reasons both scientific and practical, including to help understand patterns of variability, underlying drivers and trends in climate and weather, to communicate large amounts of data concisely, to reduce the amount of data required for processing (which becomes increasingly important with higher resolution climate model output), or to more simply draw a physical boundary between regions for other purposes, such as flora and fauna habitat analysis, appropriate agricultural practices or water management.
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7

&NA;. "Kaiser Permanente Northern and Southern California Regions." American Journal of Nursing 96 (January 1996): 139. http://dx.doi.org/10.1097/00000446-199601001-00131.

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8

Kaufman, S. "COCORP: Northwest Cordillera and Southern Appalachian regions." GEOPHYSICS 52, no. 7 (1987): 1015. http://dx.doi.org/10.1190/1.1442354.

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The Consortium for Continental Reflection Profiling (COCORP) announces the availability of seismic reflection data sheets, map sheets, and digital tapes for two regions: (1) the Northwest Cordillera area covering 532 line‐km consisting of Washington lines 1–5, 7, 8; Idaho lines 1, 2; and Montana lines 1, 2; and (2) the Southern Appalachian area covering 1073 line‐km consisting of Florida lines 1, 2, 4; and Georgia lines 10–21, 24. The COCORP operation is part of the U.S. Geodynamics Program sponsored by the National Academy of Sciences and funded by the National Science Foundation. The executive group of the consortium consists of representatives from Cornell University, Dartmouth College, Princeton University, Rice University, and the University of Wisconsin. Cornell University is the operating institution.
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9

Comerón, Fernando. "Brown Dwarfs in Southern Star Forming Regions." Symposium - International Astronomical Union 211 (2003): 53–62. http://dx.doi.org/10.1017/s0074180900210255.

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Most of the star forming regions within 200 pc from the Sun are located South of the celestial equator. Brown dwarfs or strong candidates have been discovered in all of them, and have been often studied at multiple wavelengths. This paper summarizes some highlights of the research on young brown dwarfs in these regions.
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10

Bekmurodov, Abdujabbor Sattorovich, and Masuma Umarovna Raxmatova. "Parasitic Phytonematodes Of Pomegranate Agrocenosis Of Southern Regions Of Uzbekistan." American Journal of Applied Sciences 02, no. 10 (2020): 28–32. http://dx.doi.org/10.37547/tajas/volume02issue10-05.

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The article provides data on the fauna and distribution of parasitic phytonematodes of pomegranate agrocenoses in the southern regions of Uzbekistan. The study revealed 30 parasitic species (22 ectoparasitic and 8 endoparasitic) of phytonematodes belonging to 2 orders, 8 families and 12 genera. It is defined that around root soil and root system of pomegranate plant are met such species as Longidorus elongatus, Xiphinema opisthohysterum, Tylenchorhynchus cylindricus, Bitylenchus dubius, Quinisulcius capitatus, Merlinius brevidens, Rotylenchus robustus, Helicotylenchus dihystera, H. erythrinae, Paratylenchus hamatus, Pratylenchus pratensis, Mеloidogyne incognita, M. javanica and Ditylenchus dipsaci.
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11

Hao, Tianyi, Ziying Cai, Shucheng Chen, Suqin Han, Qing Yao, and Wenyan Fan. "Transport Pathways and Potential Source Regions of PM2.5 on the West Coast of Bohai Bay during 2009–2018." Atmosphere 10, no. 6 (2019): 345. http://dx.doi.org/10.3390/atmos10060345.

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Mass concentration data for particulate matter with an aerodynamic diameter less than or equal to 2.50 μm (PM2.5) combined with backward trajectory cluster analysis, potential source contribution function (PSCF), and concentration weighted trajectory (CWT) methods were used to investigate the transport pathways and potential source regions of PM2.5 on the west coast of Bohai Bay from 2009 to 2018. Two pathways responsible for the transportation of high PM2.5 levels were identified, namely a southerly pathway and a northwesterly pathway. The southerly pathway represented the major transport pathway of PM2.5 for all seasons. As a regional transport pathway, it had the greatest impact in winter, followed by autumn. The southerly transport pathway passed over the Shandong and Hebei provinces before reaching Tianjin: Air masses were transported within the boundary layer (below 925 hPa), representing a slow-moving air flow. The northwesterly pathway mostly occurred in winter and autumn and passed over desert and semidesert regions in Outer Mongolia, the sand lands of Inner Mongolia, and Hebei. The air masses associated with the northwesterly pathway represented fast-moving airflows responsible for long-range transportation of PM2.5. Two potential source regions that contributed to high PM2.5 loadings on the west coast of Bohai Bay were identified, “southerly source regions” and “northwesterly source regions”. The southerly source regions, with weighted CWT (WCWT) values in winter greater than 140.00 μg/m3, were anthropogenic source regions, including southern Hebei, western Shandong, eastern Henan, northern Anhui, and northern Jiangsu. The northwesterly source regions, with WCWT values in winter of 80.00–140.00 μg/m3, were natural source regions, encompassing central Inner Mongolia and southern Mongolia. In addition, the southerly transport pathway passed though anthropogenic source regions, while the northwesterly transport pathway passed though natural source regions. The impacts of anthropogenic source regions on PM2.5 loadings on the west coast of Bohai Bay were greater than those of natural source regions.
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12

Troshkina, Irina Nikolaevna. "Ethnolinguistic situation in the regions of Southern Siberia." Социодинамика, no. 12 (December 2020): 27–38. http://dx.doi.org/10.25136/2409-7144.2020.12.34604.

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The goal of this research consists in examination of ethnolinguistic situation in the regions of Southern Siberia. The author sets the following tasks: determine the key vectors of research within the framework of ethnolinguistic theme of the indicated regions in post-Soviet period; elucidate the main statistical factors of ethnolinguistic dynamics in the titular ethnic groups; reveal the main factors influencing ethnolinguistic situation; analyze language problems in the republics. The object of this research is the representatives of titular ethnic groups of Southern Siberia, while the subject is ethnolinguistic situation in the regions of Southern Siberia. The article discusses ethnolinguistic situation of the titular ethnic groups of Southern Siberia based on socio-legal, socio-demographic, and sociological factors. Special attention is given to socio-legal component. The following conclusions are formulated. 1. The dominant vectors of research on ethnolinguistic situation consist in examination of the problems of functionality of the Russian and Tuvan languages in the Tuva Republic, and languages of the titular ethnic groups – in Khakassia and Altai. 2. The main statistical indicators (number of native speakers, monolinguals, Russian speakers among titular ethnoses) testify to the ongoing language shift. 3. The crucial factors impacting ethnolinguistic situation are ethnolinguistic law and social environment. The language law of titular ethnic groups of Southern Siberia has the peculiarities of development with clear manifestation in Tuva Republic at the first and last stage of language law. Social environment in the Tuva Republic is characterized by a more beneficial territorial and information space, which defines the situation in the sphere of functionality of native language; then follow Altai and Khakassia. 4. The determined language problems consists in the absence of language environment (dispersed settlement of Altai, and Khakas population), specifics of bilingualism in the regions (Russian-Khakas, Tuvan-Russian; Russian-Altai, and Russian-Kazakh), imperfection of the complex of educational components (educational materials for not native speakers, proper teaching technique, ratio of the levels of teaching native language within the system of education by the categories principal subject and elective course).
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13

Gyulbudaghian, A. L. "Several Star-Formation Regions in the Southern Hemisphere." Astrophysics 64, no. 4 (2021): 473–80. http://dx.doi.org/10.1007/s10511-021-09708-w.

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14

TABAYASHI, Akira. "Recent Changes in Agricultural Regions of Southern Ontario." Journal of Geography (Chigaku Zasshi) 98, no. 1 (1989): 49–72. http://dx.doi.org/10.5026/jgeography.98.49.

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15

Markaryan, V. R. "Trends in economic cooperation between Southern Russian regions." Studies on Russian Economic Development 19, no. 5 (2008): 492–500. http://dx.doi.org/10.1134/s1075700708050055.

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16

Lekic, V., S. W. French, and K. M. Fischer. "Lithospheric Thinning Beneath Rifted Regions of Southern California." Science 334, no. 6057 (2011): 783–87. http://dx.doi.org/10.1126/science.1208898.

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17

Xekalakis, Georgios, Patricia Molina Lopez, Manuel Argamasilla Ruiz, et al. "User-Driven Climate Resilience Across Southern European Regions." Climate 13, no. 1 (2024): 2. https://doi.org/10.3390/cli13010002.

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This study presents the ClimEmpower framework, a user-driven approach to enhancing climate resilience across five climate-vulnerable regions in Southern Europe: Costa del Sol (Spain), Central Greece, the Troodos Mountains (Cyprus), Osijek-Baranja County (Croatia), and Sicily (Italy). The project employs a region-specific methodology that integrates climate risk assessments, stakeholder engagement through Communities of Practice (CoPs), and the development of innovative climate services tailored to local needs. These regions, characterized by unique environmental and socio-economic vulnerabilities, face shared hazards such as droughts, heatwaves, and floods, alongside region-specific challenges like salinization and biodiversity loss. ClimEmpower identifies critical gaps in high-resolution data, cross-sectoral collaboration, and capacity-building efforts, underscoring barriers to effective adaptation. This work aims to provide a foundational resource, offering a comprehensive overview of the current situation, including needs, gaps, priorities, and expectations across the target regions. By establishing this baseline, it facilitates future research and comparative analyses, contributing to the development of robust, region-specific resilience strategies. The ClimEmpower framework offers scalable and replicable solutions aligned with the European Green Deal’s climate resilience goals, advancing adaptation planning and providing actionable insights for broader European initiatives.
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18

Yin, Runsheng, David H. Newman, and Jacek Siry. "Testing for market integration among southern pine regions." Journal of Forest Economics 8, no. 2 (2002): 151–66. http://dx.doi.org/10.1078/1104-6899-00009.

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19

Whittick, Christopher. "Southern and Thames regions: Training day on training." Journal of the Society of Archivists 10, no. 3 (1989): 146–48. http://dx.doi.org/10.1080/00379818909514374.

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20

Namrueva, Ludmila. "Statistical Analysis of Unemployment in Southern Russian Regions." Бюллетень Калмыцкого научного центра Российской академии наук 2, no. 22 (2022): 255–69. http://dx.doi.org/10.22162/2587-6503-2022-2-22-255-269.

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Introduction. Development of any contemporary region is determined by a variety of factors underlying socioeconomic processes. Goals. The study aims at analyzing the unemployment rate in regions of Southern Russia under study, as well as official documents, scientific literature, expert opinions relating to problems of unemployment, employment of the population — to further examine the actual current conditions of the Republic’s economy. Results. Problem of unemployment is topical for Southern Russian regions’ economics. It becomes more common in subsidised regions with agricultural specialization predominated. Only one of the regions — Rostov Oblast — is characterized by average unemployment rate (4–5 %), in others three (Volgograd Oblast, Astrakhan Oblast, Republic of Kalmykia) the rate is high. For last few years the unemployment rate in the Republic of Kalmykia exceeds 7 %, with the highest percentage of young people ageing 20–29 and 30–39. Residents of the Republic who have higher professional education should also be considered to be in insufficient demand on the labour market.
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21

Ch., Satybaldieva,, Tagaibekova, A., and Syracheva, B. "On the Traditional Carpets of Kyrgyzstan Southern Regions." Bulletin of Science and Practice, no. 1 (January 15, 2023): 363–69. http://dx.doi.org/10.33619/2414-2948/86/51.

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This article examines the woven carpet as an excellent resource for studying trends in material culture. Technological aspects of carpet making, and the semiotic significance of decorative complexes are among the priority issues for research. As an inseparable part of traditional material and spiritual culture, folk-decorative applied art, which is connected with the applied and at the same time aesthetic development of the objective world, occupies a leading place. Carpet weaving is noted as a form of artistic expression of ethnic groups in applied arts. Analysis of the processes and phenomena occurring in each individual cultural component is a necessary condition for restoring a unified picture of the development trend and state of the culture of the society as a whole.
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22

Xekalakis, Georgios, López Patricia Molina, Ruiz Manuel Argamasilla, et al. "User-Driven Climate Resilience Across Southern European Regions." Climate 13, no. 1 (2024): 25. https://doi.org/10.3390/cli13010002.

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This study presents the ClimEmpower framework, a user-driven approach to enhancing climate resilience across five climate-vulnerable regions in Southern Europe: Costa del Sol (Spain), Central Greece, the Troodos Mountains (Cyprus), Osijek-Baranja County (Croatia), and Sicily (Italy). The project employs a region-specific methodology that integrates climate risk assessments, stakeholder engagement through Communities of Practice (CoPs), and the development of innovative climate services tailored to local needs. These regions, characterized by unique environmental and socio-economic vulnerabilities, face shared hazards such as droughts, heatwaves, and floods, alongside region-specific challenges like salinization and biodiversity loss. ClimEmpower identifies critical gaps in high-resolution data, cross-sectoral collaboration, and capacity-building efforts, underscoring barriers to effective adaptation. This work aims to provide a foundational resource, offering a comprehensive overview of the current situation, including needs, gaps, priorities, and expectations across the target regions. By establishing this baseline, it facilitates future research and comparative analyses, contributing to the development of robust, region-specific resilience strategies. The ClimEmpower framework offers scalable and replicable solutions aligned with the European Green Deal’s climate resilience goals, advancing adaptation planning and providing actionable insights for broader European initiatives.
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23

Yusupovich, Kushokov Safarali. "The Emergence Of Religious Views Is Exemplified By The Southern Regions." American Journal of Social Science and Education Innovations 02, no. 10 (2020): 143–45. http://dx.doi.org/10.37547/tajssei/volume02issue10-22.

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According to ethnographic data, religious beliefs have been one of the main beliefs of the tribes, mainly engaged in hunting and herding. Later, as a result of the development of agriculture, the world of land and plants, their renewal, transformation and other properties of nature, the aspects necessary for man, led to the worship of them and led to the development of this condition.
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Bobokulovna, Khaydarova Pardakhol. "Rice Parasitic Nematodes Growing inThe Southern Regions ofUzbekistan And Their Distribution." Current Research Journal of Pedagogics 6, no. 4 (2025): 12–17. https://doi.org/10.37547/pedagogics-crjp-06-04-03.

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This study explores the distribution and impact of parasitic nematodes affecting rice crops in the southern regions of Uzbekistan. Rice farming in these areas is significantly threatened by various nematode species, which cause substantial damage to the rice plants, particularly affecting root development. The research involved field surveys and laboratory analyses to identify nematode species, evaluate their population density, and assess their effects on rice growth. The results revealed a wide distribution of root-knot and lesion nematodes, with varying levels of infestation across different regions. Environmental factors contributing tothe spread of these nematodes were also identified.
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Zuo, Meng, Tianjun Zhou, and Wenmin Man. "Hydroclimate Responses over Global Monsoon Regions Following Volcanic Eruptions at Different Latitudes." Journal of Climate 32, no. 14 (2019): 4367–85. http://dx.doi.org/10.1175/jcli-d-18-0707.1.

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Abstract Understanding the influence of volcanic eruptions on the hydroclimate over global monsoon regions is of great scientific and social importance. However, the link between the latitude of volcanic eruptions and related hydroclimate changes over global monsoon regions in the last millennium remains inconclusive. Here we show divergent hydroclimate responses after different volcanic eruptions based on large sets of reconstructions, observations, and climate model simulation. Both the proxy and observations show that Northern Hemispheric (Southern Hemispheric) monsoon precipitation is weakened by northern (southern) and tropical eruptions but is enhanced by the southern (northern) eruptions. A similar relationship is found in coupled model simulations driven by volcanic forcing. The model evidence indicates that the dynamic processes related to changes in atmospheric circulation play a dominant role in precipitation responses. The dry conditions over the Northern Hemisphere (Southern Hemisphere) and global monsoon regions following northern (southern) and tropical eruptions are induced through weakened monsoon circulation. The wet conditions over Northern Hemispheric (Southern Hemispheric) monsoon regions after southern (northern) eruptions are caused by the enhanced cross-equator flow. We extend our model simulation analysis from mean state precipitation to extreme precipitation and find that the response of the extreme precipitation is consistent with that of the mean precipitation but is more sensitive over monsoon regions. The response of surface runoff and net primary production is stronger than that of precipitation over some submonsoon regions. Our results imply that it is imperative to consider the potential volcanic eruptions at different hemispheres in the design of near-term decadal climate prediction experiments.
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Gabdulina, B. A., and М. Ykylas. "POLITICAL ASPECTS OF RESETTLEMENT FROM THE SOUTHERN REGIONS TO THE NORTHERN REGION OF KAZAKHSTAN." BULLETIN Series of Sociological and Political sciences 74, no. 2 (2021): 7–13. http://dx.doi.org/10.51889/2021-2.1728-8940.01.

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Currently, the country is developing a demographic imbalance. According to statistics, the Northern regions (North Kazakhstan, Pavlodar, and Kostanay regions) have a population of about 2.2 million people, and the population density is 6.8 million people, compared to the southern regions (South Kazakhstan, Zhambyl, Kyzylorda, and Almaty regions). By 2050, the population of the Northern regions is projected to decrease by 0.9 million people, while the population of the southern regions will increase by 5.2 million people. The population density in the southern regions will be 4 times higher than in the Northern ones. As one of the measures to restore this imbalance, the state program of voluntary relocation of the population from the southern regions to the Northern ones was launched. Under this program, conditions are created for those who move to the Northern regions, there are various benefits and material rewards. But while this program has significant advantages, it also has disadvantages. How do I fix them? What is being done for this purpose? In this article, we will try to find answers to these questions.
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27

Prodan, Radu Florin, Cristian Adrian Pintilie, Florina Iulia Ionete, and Mihai Ciocirlan. "Helicobacter Pylori Prevalence in Communities from Southern Regions of Romania with Limited Access to Health Services: A Cross-sectional Study." Journal of Gastrointestinal and Liver Diseases 33, no. 2 (2024): 159–63. http://dx.doi.org/10.15403/jgld-5600.

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Background and Aims: Helicobacter pylori (H. pylori) infection has an unknown prevalence in certain Romanian regions. We aimed to estimate it in communities from Southern regions of Romania with limited access to health services. Methods: We designed a cross-sectional study to include adult voluntary participants in the “Health in the neighborhood” medical assistance program. This was offered in villages with deprived healthcare availability from Southern regions of Romania. An immunochromatographic assay for the qualitative detection of H. pylori stool antigen was used for testing. Results: We included 708 adult voluntary participants in 10 villages, 6 from Muntenia and Oltenia Regions (Southern Romania), 2 from Dobrogea and 2 from Moldova (2.4% of all village inhabitants). H. pylori prevalence in Romanian Southern regions was 28.2%, (95%CI: 24-32.6%), and overall was 27.1%, (95%CI: 23.9-30.6%). There were no significant differences of H. pylori infection pertaining to regions distribution (p=0.711), gender ratio (p=0.779), age distribution (p=0.471) and hemoglobin value (p=0.503). Conclusions: H. pylori prevalence in communities from Southern regions of Romania with limited access to health services was 28.2%, 95%CI: 24-32.6%.
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Purich, Ariaan, Tim Cowan, Seung-Ki Min, and Wenju Cai. "Autumn Precipitation Trends over Southern Hemisphere Midlatitudes as Simulated by CMIP5 Models." Journal of Climate 26, no. 21 (2013): 8341–56. http://dx.doi.org/10.1175/jcli-d-13-00007.1.

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Abstract In recent decades, Southern Hemisphere midlatitude regions such as southern Africa, southeastern Australia, and southern Chile have experienced a reduction in austral autumn precipitation; the cause of which is poorly understood. This study focuses on the ability of global climate models that form part of the Coupled Model Intercomparison Project phase 5 to simulate these trends, their relationship with extratropical and subtropical processes, and implications for future precipitation changes. Models underestimate both the historical autumn poleward expansion of the subtropical dry zone and the positive southern annular mode (SAM) trend. The multimodel ensemble (MME) is also unable to capture the spatial pattern of observed precipitation trends across semiarid midlatitude regions. However, in temperate regions that are located farther poleward such as southern Chile, the MME simulates observed precipitation declines. The MME shows a strong consensus in twenty-first-century declines in autumn precipitation across southern Chile in both the medium–low and high representative concentration pathway (RCP) scenarios and across southern Africa in the high RCP scenario, but little change across southeastern Australia. Projecting a strong positive SAM trend and continued subtropical dry-zone expansion, the models converge on large SAM and dry-zone-expansion-induced precipitation declines across southern midlatitudes. In these regions, the strength of future precipitation trends is proportional to the strength of modeled trends in these phenomena, suggesting that unabated greenhouse gas–induced climate change will have a large impact on austral autumn precipitation in such midlatitude regions.
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Kholmuminov, Husan. "SOCIO-ECONOMIC AND CULTURAL LIFE IN THE SOUTHERN REGIONS OF UZBEKISTAN (1946-1960)." JOURNAL OF LOOK TO THE PAST 24, no. 2 (2019): 57–62. http://dx.doi.org/10.26739/2181-9599-2019-24-08.

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This article explores the problems of the demographic development of the population in the development of cotton fields in the southern regions of Uzbekistan. It also scientifically analyzes the problems of creating industrial enterprises in the southern regions and staffing their activities.
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Annayeva, Zarifa. "Ecological Situation And Conditions Of Its Stabilization In Southern Regions Of Uzbekistan." American Journal of Social Science and Education Innovations 03, no. 01 (2021): 290–93. http://dx.doi.org/10.37547/tajssei/volume03issue01-56.

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This article analyzes the environmental situation in southern regions of Uzbekistan. Aspects that negatively affect environmental sustainability and their causes are analyzed. Factors contributing to the stabilization of the environmental situation are also discussed.
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Rakovec, Joze, and Gregor Vertacnik. "Precipitation indexes for small regions on the southern side of the Alps." Meteorologische Zeitschrift 15, no. 2 (2006): 225–36. http://dx.doi.org/10.1127/0941-2948/2006/0107.

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32

Silva-Moraes, H. G., I. Cordeiro, and N. Figueiredo. "FLORA AND FLORISTIC AFFINITIES OF THE CERRADOS OF MARANHÃO STATE, BRAZIL." Edinburgh Journal of Botany 76, no. 1 (2018): 1–21. http://dx.doi.org/10.1017/s0960428618000215.

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Cerrado vegetation is the main formation covering c.60% of the land surface of Maranhão, Brazil, with cerradão being the dominant physiognomy. To characterise the cerrado flora in Maranhão, 12 localities were selected across its distribution in the northeastern, central, southern and southeastern regions of the state. A total of 150 angiosperm species were identified, distributed across 105 genera and 43 families. Twelve are new occurrences in Maranhão, and of these, four are also new records for Northeast Brazil. Two distinct floristic regions were recognised: the cerrados of the northeastern and central regions, and the cerrados of the southern region. Three subgroups were recognised in the southern region: cerrados of the highest altitudes, medium-altitude cerrados and cerrados of variable altitudes. Floristic comparisons with the Brazilian cerrados suggest that the medium-altitude southern cerrados of Maranhão are similar to those of the central region of Brazil, whereas the northeastern, central and southern highest-altitude regions form a distinct floristic group.
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33

Pinho, Daniela, Iacopo Bertocci, Francisco Arenas, et al. "Spatial and temporal variation of kelp forests and associated macroalgal assemblages along the Portuguese coast." Marine and Freshwater Research 67, no. 1 (2016): 113. http://dx.doi.org/10.1071/mf14318.

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Kelp communities are in decline in many regions. Detecting and addressing population declines require knowledge of patterns of spatial and temporal variation in the distribution and abundance of kelps and their associated organisms. We quantified kelp and associated macroalgal assemblages three times over a period of 2 years, at three regions along a natural gradient in temperature and nutrient availability across the Portuguese coast. Kelps were mostly found at the northern cool region (Viana do Castelo), which was also clearly separated from the two more southerly regions (Peniche, Sines) in terms of algal assemblage structure. This pattern was consistent, although varying in intensity, through time, providing support for this general spatial configuration. The overall richness of taxa increased towards lower latitudes. These findings indicated that kelp beds in southern Europe are currently restricted to northern Portugal, though supporting less diverse macroalgal assemblages compared with those located in central and southern Portugal.
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34

Schäbitz, Frank. "Quaternary pollen studies in arid regions of southern Argentina." Revista del Museo Argentino de Ciencias Naturales 5 (2003): 291–99. http://dx.doi.org/10.22179/revmacn.5.60.

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35

Barabanva, Tatiana, Roman Korol, and Viktor Domozhilov. "ROOF PROTECTION DEVICE FOR BUILDINGS FOR SOUTHERN CLIMATIC REGIONS." Construction and Architecture 10, no. 1 (2022): 36–40. http://dx.doi.org/10.29039/2308-0191-2021-10-1-36-40.

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The article considers constructive and technological solutions for the protection of roofing coverings of operated buildings in conditions of high natural and climatic temperature effects. Their use contributes to the creation of comfortable living conditions in the premises of the upper floors, both in summer and winter. During a long period of operation, there is a problem of maintaining the physical and mechanical characteristics of building envelopes in accordance with the established design requirements. Their changes can be caused by seasonal temperature fluctuations that occur, which entails a change in the parameters of the microclimate in the room. The device of protective structural and technological elements and measures prevents the violation of the conditions for normal operation of the premises of the upper floors of buildings.
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36

Lee, Dong-Hyun, Jae-Seoun Hur, and Young-Jin Koh. "Occurrence of Garlic Rust in Southern Regions of Korea." Research in Plant Disease 9, no. 3 (2003): 121–24. http://dx.doi.org/10.5423/rpd.2003.9.3.121.

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37

Kondratieva, E. I., S. V. Trishina, A. V. Yurieva, et al. "Characteristics of mukoviscisidosis in the southern regions of Russia." Meditsinskiy sovet = Medical Council, no. 4 (April 6, 2022): 108–19. http://dx.doi.org/10.21518/2079-701x-2022-16-4-108-119.

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Introduction. Cystic fibrosis (CF) is a hereditary disease with genetic heterogeneity and clinical polymorphism. Expanding the range of knowledge about the characteristics of the course of the disease in different regions is important to achieve the goal of improving the quality and life expectancy.Purpose. Comparative analysis of the features of the course of CF in the subjects of the Southern Federal District, Stavropol Territory.Methods. Data from the National Register of Patients of the RF MV 2016 were used. Results: there are clinical and genetic features between the regions of the Southern Federal District and the Stavropol Territory of the North Caucasus Federal District and in general with the Russian Federation. Analysis of the data showed differences in indicators: the proportion of patients aged ≥ 18 is the lowest in the Republic of Crimea (14.9%), in the Rostov region the lowest average age of patients (9.0 ± 6.3), and the lowest age of diagnosis 2.2 ± 3.1 years. Late terms of diagnosis were revealed in the Stavropol Territory (4.0 ± 8.0 years), but here there is one of the highest average age of CF patients (14.1 ± 11.5), the proportion of adult patients (23.3%) and the lowest allelic frequency of F508del, which is determined by the high number of patients with a “soft” genotype. There is a high proportion of patients with an undetermined genotype. A low proportion of two identified genetic variants of the CFTR gene is registered in patients of the Republic of Crimea. A low frequency of Burkholderia cepacia complex and Achromobacter spp was revealed, and a high infection with non-tuberculous mycobacteria was revealed in the Rostov region. FEV1 in children and adults was lower in Rostov Region and Stavropol Territory. In all regions, there is a discrepancy between the seeding of flora and azithromycin therapy and the severity of the genotype with the use of pancreatic enzymes.Conclusions. Analysis of the data of the registry, which allows substantiating the need to study the regional characteristics of the course of CF in order to differentiate the planning of measures to improve the quality of medical care for patients with CF.
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38

Ermishina, Anna. "Economic Development of Regions in the Multiethnic Southern Russia." Vestnik Volgogradskogo gosudarstvennogo universiteta. Ekonomika, no. 4 (February 2020): 55–66. http://dx.doi.org/10.15688/ek.jvolsu.2019.4.6.

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The article assesses the level and dynamics of the economic development of federal entities in the Southern Russian multiethnic and multicultural region. Most of these federal entities have geostrategic importance for Russia. The studies of past years suggest that high levels of social diversity tend to be associated with poor economic performance of a territory. Our study confirms the high level of interregional socio-economic inequality in territories of the North Caucasus Economic Region (without Crimea and Sevastopol) and their lagging behind the average Russian rates of the most important economic indicators. However, since 2005, relatively high rates of GRP (Gross Regional Product) per capita have been recorded in the entire region and in each individual federal entity as well. At the same time, regional economic policy is not effective enough: as to NCER, an active cluster policy in specialization industries is pursued only in Rostov region. The federal entities of the economic region were grouped by the level and dynamics of GRP, this outcome was compared with the results of a similar grouping of 2008. It was revealed that Krasnodar Krai remains the leader of the economic region, and the group of territories with positive dynamics includes the Republic of Adygea, Dagestan and Chechnya. A decrease in the socio-political tension would greatly contribute to the emerging economic growth in Ingushetia. The Republic of Kabardino-Balkarian and North Ossetia-Alania, in which the growth inhibitory factors require special research and consideration, remain “problematic” economic territories of NCER. The economic development of these NCER entities also depends on increasing the effectiveness of regional economic policies and supporting their “smart specialization”.
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39

Faúndez, S., L. Bronfman, G. Garay, R. Chini, L. Å. Nyman, and J. May. "SIMBA survey of southern high-mass star forming regions." Astronomy & Astrophysics 426, no. 1 (2004): 97–103. http://dx.doi.org/10.1051/0004-6361:20035755.

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40

VAN KLEUNEN, MARK, STEVEN D. JOHNSON, and MARKUS FISCHER. "Predicting naturalization of southern African Iridaceae in other regions." Journal of Applied Ecology 44, no. 3 (2007): 594–603. http://dx.doi.org/10.1111/j.1365-2664.2007.01304.x.

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41

Huete-Morales, María Dolores, José-Manuel Quesada-Rubio, María-Jesús Rosales-Moreno, Esteban Navarrete-Álvarez, and María-José Del-Moral-Ávila. "Environmental Differences between Two Neighboring Regions of Southern Spain." Polish Journal of Environmental Studies 27, no. 5 (2018): 2071–80. http://dx.doi.org/10.15244/pjoes/78625.

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42

Bruyns, P. "New taxa from the arid regions of southern Africa." South African Journal of Botany 58, no. 1 (1992): 50–55. http://dx.doi.org/10.1016/s0254-6299(16)30897-3.

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43

Bruyns, P. "New taxa from the arid regions of southern Africa." South African Journal of Botany 56, no. 1 (1990): 125–32. http://dx.doi.org/10.1016/s0254-6299(16)31118-8.

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44

Caswell, J. L. "OH 1720-MHz masers in southern star-forming regions." Monthly Notices of the Royal Astronomical Society 349, no. 1 (2004): 99–114. http://dx.doi.org/10.1111/j.1365-2966.2004.07472.x.

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45

Firpo, V., G. Bosch, and N. Morrell. "New giant H ii regions in the southern sky." Monthly Notices of the Royal Astronomical Society 356, no. 4 (2005): 1357–61. http://dx.doi.org/10.1111/j.1365-2966.2004.08564.x.

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46

Olsen, Rachel M., Michael Olsen, and Margaret E. Renwick. "Acoustically quantifying /ai/ monophthongization in four southern dialect regions." Journal of the Acoustical Society of America 142, no. 4 (2017): 2680. http://dx.doi.org/10.1121/1.5014772.

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47

Russeil, D., and A. Castets. "CO observations in the direction of southern HII regions." Astronomy & Astrophysics 417, no. 1 (2004): 107–14. http://dx.doi.org/10.1051/0004-6361:20031775.

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48

Roman-Lopes, A. "Near-infrared study of southern massive star formation regions." Astronomy & Astrophysics 471, no. 3 (2007): 813–24. http://dx.doi.org/10.1051/0004-6361:20066361.

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49

Okorokov, V. M., A. V. Shleenko, D. V. Zyukin, and N. D. Klikunov. "Assessment of the Cost of Capital of the Southern Regions of the Central Federal District." Proceedings of the Southwest State University. Series: Economics. Sociology. Management 14, no. 1 (2024): 76–93. http://dx.doi.org/10.21869/2223-1552-2024-14-1-76-93.

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Relevance. The assessment of assets located in a specific territory is an important methodological and practical task.The purpose of the article is to adjust Thomas Piketty's methodology for assessing regional wealth, taking into account the peculiarities of Russian accounting and statistical accounting and applying the adjusted methodology to the assessment of the cost of capital in the southern regions of the Central Federal District. The obtained estimates of the cost of capital for the Russian Federation as a whole are compared with Piketty's estimates as a benchmarking. The purpose is to assess the physical in the Central Federal District and seven southern regions of the Central Federal District of the Russian Federation for 2021. Objectives: to develop methods for assessing physical capital, taking into account the criticism of T. Piketty's methodology and eliminating its shortcomings; to assess the cost of physical capital of enterprises, organizations, housing, land and savings in the Central Federal District and seven southern regions of the Central Federal District of the Russian Federation.Methodology. The article was prepared within the framework of Thomas Piketty's capital valuation paradigm, adjusted to take into account the author's vision of the problem.Results. Quantitative estimates of the cost of physical capital in the Central Federal District and seven southern regions of the Central Federal District of the Russian Federation have been obtained.Conclusions. Piketty's methodology provides an underestimate of the cost of physical capital at the level of the southern regions of the Central Federal District of the Russian Federation. Underestimation is taking place in the assessment of the value of land, capital of enterprises and organizations and the value of housing stock. The highest cost of physical capital in the southern regions of the Central Federal District of the Russian Federation is in Voronezh (5,238 trillion rubles) and Belgorod regions (4,255 trillion rubles), the lowest is in Bryansk (1,772 trillion rubles) and Oryol (1,340 trillion rubles) regions. The ratio of the cost of physical capital in the southern regions of the Central Federal District of the Russian Federation to the gross regional product varies in the range from 5.16 (Tambov region) to 3.14 (Belgorod region). The average ratio of capital to GRP in the seven southern regions of the Central Federal District is 3.96, which corresponds to the global average.
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Rubin-Kurtzman, Jane R., Roberto Ham-Chande, and Maurice D. Van Arsdol. "Population in Trans-Border Regions: The Southern California-Baja California Urban System." International Migration Review 30, no. 4 (1996): 1020–45. http://dx.doi.org/10.1177/019791839603000407.

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This article is a case study of population growth and composition in the Southern California-Baja California trans-border urban system (TBS). The central question guiding the research is how the combination of geographic proximity and economic integration in two very different regions affects population characteristics in the Southern California-Baja California TBS. We begin by briefly defining trans-border urban systems. We then specify the attributes of the Southern California-Baja California TBS, contrasting them with attributes observed elsewhere in the United States and Mexico. We particularly emphasize the impact of the Mexican-origin population on population growth, composition, age structure and trans-border mobility. We conclude by outlining several national and international policy implications that can be derived from a regional focus on the Southern California-Baja California TBS. The units of analysis are the aggregate TBS and the component counties and municipios. The data are drawn primarily from the U.S. and Mexican censuses. Secondary data from a variety of sources also are discussed.
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