13 research outputs found

    Some aspects of natural gases distribution on the territory of Georgia

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    Natural gases possess a vast impact in the formation of groundwater physical and chemical properties. Most of them are connected with the mineral waters, the rest of their exposures are represented as โ€œoilโ€ gases or as a gas accumulation areas. Natural gases are very sensitive indicators of geological, in particular, of geotectonic conditions. Thus, as it should be expected, the distribution pattern of natural gases clearly reveals the particularities of the geological structure on the territory of Georgia. The geotectonic elements, which are allocated within these borders, in accordance with the folding, the geological development age and history, are characterized by the corresponding gas compositions and geochemical propertie

    Using Stable Isotopes Application for Assessment Water Resource Under the Climate Change Condition

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    แƒ™แƒ•แƒšแƒ”แƒ•แƒ”แƒ‘แƒ˜แƒก แƒ›แƒ˜แƒ–แƒแƒœแƒก แƒฌแƒแƒ แƒ›แƒแƒแƒ“แƒ’แƒ”แƒœแƒ“แƒ แƒ›แƒ˜แƒฌแƒ˜แƒกแƒฅแƒ”แƒจแƒ แƒฌแƒงแƒšแƒ”แƒ‘แƒ˜แƒก แƒ แƒ”แƒกแƒฃแƒ แƒกแƒ”แƒ‘แƒ˜แƒก แƒจแƒ”แƒคแƒแƒกแƒ”แƒ‘แƒ แƒ’แƒ•แƒแƒšแƒ•แƒ˜แƒก แƒžแƒ”แƒ แƒ˜แƒแƒ“แƒ˜แƒก แƒžแƒ แƒแƒ’แƒœแƒแƒ–แƒ˜แƒ แƒ”แƒ‘แƒ˜แƒกแƒ—แƒ•แƒ˜แƒก. แƒ™แƒ•แƒšแƒ”แƒ•แƒ”แƒ‘แƒ˜แƒก แƒžแƒ”แƒ แƒ˜แƒแƒ“แƒจแƒ˜ แƒแƒ แƒ’แƒแƒœแƒ˜แƒ–แƒ”แƒ‘แƒ แƒ’แƒแƒฃแƒ™แƒ”แƒ—แƒ“แƒ แƒ›แƒ”แƒขแƒ”แƒ แƒ“แƒ แƒฐแƒ˜แƒ“แƒ แƒแƒšแƒแƒ’แƒ˜แƒฃแƒ  แƒกแƒแƒ›แƒแƒœแƒ˜แƒขแƒแƒ แƒ˜แƒœแƒ’แƒ แƒฅแƒกแƒ”แƒšแƒก แƒกแƒแƒ›แƒ˜ แƒ›แƒ“แƒ˜แƒœแƒแƒ แƒ˜แƒก แƒแƒฃแƒ–แƒจแƒ˜. แƒ’แƒแƒแƒœแƒแƒšแƒ˜แƒ–แƒ“แƒ แƒ—แƒแƒ•แƒšแƒ˜แƒก แƒ“แƒแƒ’แƒ แƒแƒ•แƒ”แƒ‘แƒ˜แƒก, แƒ—แƒแƒ•แƒšแƒ˜แƒกแƒ แƒ“แƒœแƒแƒ‘แƒ˜แƒกแƒ แƒ“แƒ แƒ›แƒ˜แƒกแƒ˜ แƒฉแƒแƒŸแƒแƒœแƒ•แƒ˜แƒก แƒžแƒ แƒแƒชแƒ”แƒกแƒ”แƒ‘แƒ˜ แƒกแƒขแƒแƒ‘แƒ˜แƒšแƒฃแƒ แƒ˜ แƒ˜แƒ–แƒแƒขแƒแƒžแƒ”แƒ‘แƒ˜แƒก (18O, 2H) แƒ›แƒ”แƒ—แƒแƒ“แƒ˜แƒก แƒ’แƒแƒ›แƒแƒงแƒ”แƒœแƒ”แƒ‘แƒ˜แƒ—. แƒ“แƒแƒ“แƒ’แƒ˜แƒœแƒ“แƒ แƒ แƒแƒ› แƒ—แƒแƒ•แƒšแƒ˜ แƒฌแƒ˜แƒšแƒ˜ แƒœแƒแƒšแƒ”แƒฅแƒ”แƒ‘แƒจแƒ˜ 30%, แƒ—แƒแƒ•แƒšแƒ˜แƒก แƒœแƒแƒŸแƒฃแƒ แƒ˜ แƒฌแƒงแƒšแƒ˜แƒก แƒฌแƒ˜แƒšแƒ˜ แƒกแƒแƒ”แƒ แƒ—แƒ แƒœแƒแƒšแƒ”แƒฅแƒ”แƒ‘แƒจแƒ˜ (แƒ›แƒแƒฅแƒกแƒ˜แƒ›แƒแƒšแƒฃแƒ แƒ˜ แƒฌแƒ˜แƒšแƒ˜ 50%) แƒ“แƒ แƒœแƒแƒšแƒ”แƒฅแƒ”แƒ‘แƒ˜แƒก แƒ’แƒแƒ“แƒแƒ“แƒ’แƒ˜แƒšแƒ”แƒ‘แƒ˜แƒก แƒ“แƒ แƒ แƒ—แƒ˜แƒ—แƒ˜แƒ”แƒฃแƒšแƒ˜ แƒฃแƒ‘แƒœแƒ˜แƒกแƒ—แƒ•แƒ˜แƒก (2-3 แƒฌแƒ”แƒšแƒ˜แƒฌแƒแƒ“แƒ˜).The purpose of the investigation was to evaluate groundwater resources for predict the drought period. During the study was organizing the meteorological, hydrological monitoring network into three river basins. Analyzed of snow accumulation, snow melting and runoff process, using stable isotopes (18O, 2H) application. Although snowfall represents just about 30% of annual precipitation, snowmelt water is an important source of water for the rivers (maximum contribution about 50%). The mean transit time of groundwater about 2-3 years

    Investigation Alazani-Iori catchment using stable isotopes

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    แƒแƒšแƒแƒ–แƒแƒœแƒ˜-แƒ˜แƒแƒ แƒ˜แƒก แƒฌแƒงแƒแƒšแƒจแƒ”แƒ›แƒ™แƒ แƒ”แƒ‘ แƒแƒฃแƒ–แƒ”แƒ‘แƒจแƒ˜, แƒ›แƒ˜แƒฌแƒ˜แƒกแƒฅแƒ•แƒ”แƒจแƒ แƒฌแƒงแƒšแƒ”แƒ‘แƒ˜แƒก แƒ แƒ”แƒกแƒฃแƒ แƒกแƒ”แƒ‘แƒ˜แƒก แƒจแƒ”แƒกแƒฌแƒแƒ•แƒšแƒ˜แƒก แƒ›แƒ˜แƒ–แƒœแƒ˜แƒ— แƒžแƒ˜แƒ แƒ•แƒ”แƒšแƒแƒ“ แƒขแƒแƒ แƒ“แƒ”แƒ‘แƒ แƒ™แƒ•แƒšแƒ”แƒ•แƒ”แƒ‘แƒ˜ แƒ‘แƒฃแƒœแƒ”แƒ‘แƒ แƒ˜แƒ•แƒ˜ แƒ˜แƒ–แƒแƒขแƒแƒžแƒ”แƒ‘แƒ˜แƒกแƒ แƒ“แƒ แƒฐแƒ˜แƒ“แƒ แƒแƒฅแƒ˜แƒ›แƒ˜แƒฃแƒ แƒ˜ แƒ›แƒ”แƒ—แƒแƒ“แƒ”แƒ‘แƒ˜แƒก แƒ’แƒแƒ›แƒแƒงแƒ”แƒœแƒ”แƒ‘แƒ˜แƒ—. แƒžแƒ˜แƒ แƒ•แƒ”แƒš แƒ”แƒขแƒแƒžแƒ–แƒ”, แƒฌแƒงแƒแƒšแƒจแƒ”แƒ›แƒชแƒ•แƒ”แƒšแƒ˜ แƒฐแƒแƒ แƒ˜แƒ–แƒแƒœแƒขแƒ”แƒ‘แƒ˜แƒก แƒ™แƒ•แƒ”แƒ‘แƒ˜แƒก แƒ“แƒ แƒ’แƒแƒœแƒขแƒ•แƒ˜แƒ แƒ—แƒ•แƒ˜แƒก แƒแƒ แƒ”แƒแƒšแƒ”แƒ‘แƒจแƒ˜, แƒแƒ แƒ’แƒแƒœแƒ˜แƒ–แƒ”แƒ‘แƒ แƒ’แƒแƒฃแƒ™แƒ”แƒ—แƒ“แƒ แƒ แƒ”แƒŸแƒ˜แƒ›แƒฃแƒš แƒ“แƒแƒ™แƒ•แƒ˜แƒ แƒ•แƒ”แƒ‘แƒ”แƒ‘แƒก แƒฐแƒแƒ”แƒ แƒ˜แƒก แƒขแƒ”แƒ›แƒ”แƒžแƒแƒ แƒแƒขแƒฃแƒ แƒแƒก, แƒขแƒ”แƒœแƒ˜แƒแƒœแƒแƒ‘แƒแƒกแƒ แƒ“แƒ แƒแƒขแƒ›แƒแƒกแƒคแƒ”แƒ แƒฃแƒš แƒœแƒแƒšแƒ”แƒฅแƒ”แƒ‘แƒ–แƒ”. แƒ›แƒ“แƒ˜แƒœแƒแƒ แƒ” แƒแƒšแƒแƒ–แƒแƒœแƒกแƒ แƒ“แƒ แƒ˜แƒแƒ แƒ–แƒ” แƒ“แƒแƒ˜แƒฌแƒงแƒ แƒ แƒ”แƒŸแƒ˜แƒ›แƒฃแƒšแƒ˜ แƒ“แƒแƒ™แƒ•แƒ˜แƒ แƒ•แƒ”แƒ‘แƒ”แƒ‘แƒ˜ แƒ›แƒ“แƒ˜แƒœแƒแƒ แƒ˜แƒก แƒ“แƒแƒœแƒ”แƒกแƒ แƒ“แƒ แƒฎแƒแƒ แƒฏแƒ–แƒ” แƒ“แƒ แƒแƒกแƒ”แƒ•แƒ” แƒ›แƒ˜แƒฌแƒ˜แƒกแƒฅแƒ•แƒ”แƒจแƒ แƒฌแƒงแƒšแƒ”แƒ‘แƒ˜แƒก แƒ“แƒแƒœแƒ”แƒ”แƒ‘แƒ–แƒ” แƒšแƒแƒ’แƒแƒ“แƒ”แƒฎแƒกแƒ แƒ“แƒ แƒ“แƒ”แƒ“แƒแƒคแƒšแƒ˜แƒก แƒฌแƒงแƒแƒ แƒแƒจแƒ˜. แƒ˜แƒ–แƒแƒขแƒแƒžแƒฃแƒ แƒ˜ แƒ›แƒแƒกแƒแƒšแƒ˜แƒก แƒแƒœแƒแƒšแƒ˜แƒ–แƒ›แƒ แƒ“แƒแƒแƒคแƒ˜แƒฅแƒกแƒ˜แƒ แƒ แƒกแƒ”แƒ–แƒแƒœแƒฃแƒ แƒ˜ แƒ•แƒแƒ แƒ˜แƒแƒชแƒ˜แƒ”แƒ‘แƒ˜ แƒ›แƒแƒ— แƒชแƒ•แƒšแƒ˜แƒšแƒ”แƒ‘แƒแƒจแƒ˜ แƒ“แƒ แƒ’แƒแƒœแƒกแƒฎแƒ•แƒแƒ•แƒ”แƒ‘แƒ”แƒ‘แƒ˜ แƒ›แƒแƒ— แƒ›แƒœแƒ˜แƒจแƒ•แƒœแƒ”แƒšแƒแƒ‘แƒ”แƒ‘แƒจแƒ˜, แƒกแƒแƒ“แƒ’แƒฃแƒ แƒ”แƒ‘แƒ˜แƒก แƒ’แƒ”แƒแƒ’แƒ แƒแƒคแƒ˜แƒฃแƒš แƒ›แƒ“แƒ”แƒ‘แƒแƒ แƒ”แƒแƒ‘แƒ˜แƒกแƒ แƒ“แƒ แƒกแƒ˜แƒ›แƒแƒฆแƒšแƒ˜แƒก แƒ›แƒ˜แƒฎแƒ”แƒ“แƒ•แƒ˜แƒ—, แƒ แƒแƒช แƒกแƒ แƒฃแƒšแƒแƒ“ แƒ”แƒ—แƒแƒœแƒฎแƒ›แƒ”แƒ‘แƒ แƒ›แƒกแƒแƒคแƒšแƒ˜แƒแƒจแƒ˜ แƒ˜แƒ–แƒแƒขแƒแƒžแƒ”แƒ‘แƒ˜แƒก แƒ’แƒแƒ•แƒ แƒชแƒ”แƒšแƒ”แƒ‘แƒ˜แƒก แƒ–แƒแƒ’แƒแƒ“ แƒ™แƒแƒœแƒแƒœแƒ–แƒแƒ›แƒ˜แƒ”แƒ แƒ”แƒ‘แƒ”แƒ‘แƒก

    The A-allele of the FTO gene rs9939609 polymorphism is associated with decreased proportion of slow oxidative muscle fibers and over-represented in heavier athletes

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    ยฉ 2019 National Strength and Conditioning Association. The purpose of this study was to explore the frequency of the FTO T > A (rs9939609) polymorphism in elite athletes from 2 cohorts (Brazil and Russia), as well as to find a relationship between FTO genotypes and muscle fiber composition. A total of 677 athletes and 652 nonathletes were evaluated in the Brazilian cohort, whereas a total of 920 athletes and 754 nonathletes were evaluated in the Russian cohort. It was found a trend for a lower frequency of A/A genotype in long-distance athletes compared with nonathletes (odds ratio [OR]: 0.65; p = 0.054). By contrast, it was found an increased frequency of the A-allele in Russian power athletes. The presence of the T/A + A/A genotypes rather than T/T increased the OR of being a Russian power athlete compared with matched nonathletes (OR: 1.45; p = 0.002). Different from that observed in combat sports athletes of lighter weight categories, the A-allele was also over-represented in combat sports athletes of heavier weight categories. The presence of the T/A + A/A genotypes rather than T/T increased the OR of being a combat sports athlete of heavier weight categories compared with nonathletes (OR: 1.79; p = 0.018). Regarding the muscle fibers, we found that carriers of the A/A genotype had less slow-twitch muscle fibers than T-allele carriers (p = 0.029). In conclusion, the A/A genotype of the FTO T > A polymorphism is underrepresented in athletes more reliant on a lean phenotype and associated with decreased proportion of slow-twitch muscle fibers, while is over-represented in strength and heavier athletes

    The A-allele of the FTO gene rs9939609 polymorphism is associated with decreased proportion of slow oxidative muscle fibers and over-represented in heavier athletes

    No full text
    ยฉ 2019 National Strength and Conditioning Association. The purpose of this study was to explore the frequency of the FTO T > A (rs9939609) polymorphism in elite athletes from 2 cohorts (Brazil and Russia), as well as to find a relationship between FTO genotypes and muscle fiber composition. A total of 677 athletes and 652 nonathletes were evaluated in the Brazilian cohort, whereas a total of 920 athletes and 754 nonathletes were evaluated in the Russian cohort. It was found a trend for a lower frequency of A/A genotype in long-distance athletes compared with nonathletes (odds ratio [OR]: 0.65; p = 0.054). By contrast, it was found an increased frequency of the A-allele in Russian power athletes. The presence of the T/A + A/A genotypes rather than T/T increased the OR of being a Russian power athlete compared with matched nonathletes (OR: 1.45; p = 0.002). Different from that observed in combat sports athletes of lighter weight categories, the A-allele was also over-represented in combat sports athletes of heavier weight categories. The presence of the T/A + A/A genotypes rather than T/T increased the OR of being a combat sports athlete of heavier weight categories compared with nonathletes (OR: 1.79; p = 0.018). Regarding the muscle fibers, we found that carriers of the A/A genotype had less slow-twitch muscle fibers than T-allele carriers (p = 0.029). In conclusion, the A/A genotype of the FTO T > A polymorphism is underrepresented in athletes more reliant on a lean phenotype and associated with decreased proportion of slow-twitch muscle fibers, while is over-represented in strength and heavier athletes

    Three DNA Polymorphisms Previously Identified as Markers for Handgrip Strength Are Associated With Strength in Weightlifters and Muscle Fiber Hypertrophy

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    Grishina, EE, Zmijewski, P, Semenova, EA, Ciฤ™szczyk, P, Humiล„ska-Lisowska, K, Michaล‚owska-Sawczyn, M, Maculewicz, E, Crewther, B, Orysiak, J, Kostryukova, ES, Kulemin, NA, Borisov, OV, Khabibova, SA, Larin, AK, Pavlenko, AV, Lyubaeva, EV, Popov, DV, Lysenko, EA, Vepkhvadze, TF, Lednev, EM, Bondareva, EA, Erskine, RM, Generozov, EV, and Ahmetov, II. Three DNA polymorphisms previously identified as markers for handgrip strength are associated with strength in weightlifters and muscle fiber hypertrophy. J Strength Cond Res 33(10): 2602-2607, 2019-Muscle strength is a highly heritable trait. So far, 196 single nucleotide polymorphisms (SNPs) associated with handgrip strength have been identified in 3 genome-wide association studies. The aim of our study was to validate the association of 35 SNPs with strength of elite Russian weightlifters and replicate the study in Polish weightlifters. Genotyping was performed using micro-array analysis or real-time polymerase chain reaction. We found that the rs12055409 G-allele near the MLN gene (p = 0.004), the rs4626333 G-allele near the ZNF608 gene (p = 0.0338), and the rs2273555 A-allele in the GBF1 gene (p = 0.0099) were associated with greater competition results (total lifts in snatch and clean and jerk adjusted for sex and weight) in 53 elite Russian weightlifters. In the replication study of 76 sub-elite Polish weightlifters, rs4626333 GG homozygotes demonstrated greater competition results (p = 0.0155) and relative muscle mass (p = 0.046), adjusted for sex, weight, and age, compared with carriers of the A-allele. In the following studies, we tested the hypotheses that these SNPs would be associated with skeletal muscle hypertrophy and handgrip strength. We found that the number of strength-associated alleles was positively associated with fast-twitch muscle fiber cross-sectional area in the independent cohort of 20 male power athletes (p = 0.021) and with handgrip strength in 87 physically active individuals (p = 0.015). In conclusion, by replicating previous findings in 4 independent studies, we demonstrate that the rs12055409 G-, rs4626333 G-, and rs2273555 A-alleles are associated with higher levels of strength, muscle mass, and muscle fiber size
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