38 research outputs found

    Π’ΠΏΠ»ΠΈΠ² Ρ–Π½Π³Ρ–Π±Ρ–Ρ‚ΠΎΡ€Ρ–Π² Π°Ρ€ΠΎΠΌΠ°Ρ‚Π°Π·ΠΈ Π½Π° вміст загального Π±Ρ–Π»ΠΊΠ° Π²Ρ–ΡΡ†Π΅Ρ€Π°Π»ΡŒΠ½ΠΎΡ— ΠΆΠΈΡ€ΠΎΠ²ΠΎΡ— Ρ‚ΠΊΠ°Π½ΠΈΠ½ΠΈ ΠΏΡ€ΠΈ ΠΌΠ΅Ρ‚Π°Π±ΠΎΠ»Ρ–Ρ‡Π½ΠΎΠΌΡƒ синдромі Ρƒ хом’ячків

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    Topicality. Recently, more attention has been paid to the role of the peripheral aromatase reaction enhancement in pathogenesis of obesity and metabolic syndrome. About 39 % of men and 40 % of women over 18 around the world are overweight (BMI > 25) and in almost all cases they have an imbalance of sex hormones, which is caused by increased aromatase activity of adipose tissue.Aim. To study the effect of aromatase inhibitors on the parameters of total body weight, protein content in adipose tissue and their correlation in hamsters with experimental metabolic syndrome.Materials and methods. Protein content in the visceral adipose tissue homogenate was detected by the Lowry method in the Hartree modification. Statistical processing of the results was carried out by variational statistics methods using nonparametric methods of analysis, the interrelations between the signs were determined by the Pearson linear correlation coefficient.Results and discussion. The most effective drug from the group of aromatase inhibitors which reduced hypertrophic growth of adipose tissue in all animals both sexes and ages was letrozole. Anastrozole and exemestane showed less efficacy, and had a better effect on young animals.Conclusions. The letrozole administration at a dose of 0.309 mg/kg resulted in a significant decrease in the average body weight by 24-35 % and a corresponding increase in protein content of visceral adipose tissue by 12-46 % with a high correlation coefficient.ΠΠΊΡ‚ΡƒΠ°Π»ΡŒΠ½ΠΎΡΡ‚ΡŒ. Π’ послСднСС врСмя всС большС внимания удСляСтся Ρ€ΠΎΠ»ΠΈ усилСния пСрифСричСской Π°Ρ€ΠΎΠΌΠ°Ρ‚Π°Π·Π½ΠΎΠΉ Ρ€Π΅Π°ΠΊΡ†ΠΈΠΈ Π² ΠΏΠ°Ρ‚ΠΎΠ³Π΅Π½Π΅Π·Π΅ развития оТирСния ΠΈ мСтаболичСского синдрома. Около 39Β % ΠΌΡƒΠΆΡ‡ΠΈΠ½ ΠΈ 40Β % ΠΆΠ΅Π½Ρ‰ΠΈΠ½ ΡΡ‚Π°Ρ€ΡˆΠ΅ 18-ΠΈ Π»Π΅Ρ‚ ΠΏΠΎ всСму ΠΌΠΈΡ€Ρƒ ΡΡ‚Ρ€Π°Π΄Π°ΡŽΡ‚ ΠΎΡ‚ ΠΈΠ·Π±Ρ‹Ρ‚ΠΎΡ‡Π½ΠΎΠ³ΠΎ вСса (ИМВ > 25) ΠΈ Ρƒ Ρ‚Π°ΠΊΠΈΡ… ΠΏΠ°Ρ†ΠΈΠ΅Π½Ρ‚ΠΎΠ² ΠΏΠΎΡ‡Ρ‚ΠΈ Π²ΠΎ всСх случаях отмСчаСтся дисбаланс ΠΏΠΎΠ»ΠΎΠ²Ρ‹Ρ… Π³ΠΎΡ€ΠΌΠΎΠ½ΠΎΠ², ΠΊΠΎΡ‚ΠΎΡ€Ρ‹ΠΉ являСтся слСдствиСм усилСния Π°Ρ€ΠΎΠΌΠ°Ρ‚Π°Π·Π½ΠΎΠΉ активности ΠΆΠΈΡ€ΠΎΠ²ΠΎΠΉ Ρ‚ΠΊΠ°Π½ΠΈ.ЦСль Ρ€Π°Π±ΠΎΡ‚Ρ‹. Π˜ΡΡΠ»Π΅Π΄ΠΎΠ²Π°Ρ‚ΡŒ влияниС ΠΈΠ½Π³ΠΈΠ±ΠΈΡ‚ΠΎΡ€ΠΎΠ² Π°Ρ€ΠΎΠΌΠ°Ρ‚Π°Π·Ρ‹ Π½Π° ΠΏΠΎΠΊΠ°Π·Π°Ρ‚Π΅Π»ΠΈ ΠΎΠ±Ρ‰Π΅ΠΉ массы Ρ‚Π΅Π»Π°, содСрТаниС Π±Π΅Π»ΠΊΠ° Π² ΠΆΠΈΡ€ΠΎΠ²ΠΎΠΉ Ρ‚ΠΊΠ°Π½ΠΈ ΠΈ ΠΈΡ… ΠΊΠΎΡ€Ρ€Π΅Π»ΡΡ†ΠΈΡŽ Ρƒ хомячков с ΡΠΊΡΠΏΠ΅Ρ€ΠΈΠΌΠ΅Π½Ρ‚Π°Π»ΡŒΠ½Ρ‹ΠΌ мСтаболичСским синдромом.ΠœΠ°Ρ‚Π΅Ρ€ΠΈΠ°Π»Ρ‹ ΠΈ ΠΌΠ΅Ρ‚ΠΎΠ΄Ρ‹. Π‘ΠΎΠ΄Π΅Ρ€ΠΆΠ°Π½ΠΈΠ΅ Π±Π΅Π»ΠΊΠ° Π² Π³ΠΎΠΌΠΎΠ³Π΅Π½Π°Ρ‚Π΅ Π²ΠΈΡΡ†Π΅Ρ€Π°Π»ΡŒΠ½ΠΎΠΉ ΠΆΠΈΡ€ΠΎΠ²ΠΎΠΉ Ρ‚ΠΊΠ°Π½ΠΈ опрСдСляли ΠΏΠΎ ΠΌΠ΅Ρ‚ΠΎΠ΄Ρƒ Π›ΠΎΡƒΡ€ΠΈ Π² ΠΌΠΎΠ΄ΠΈΡ„ΠΈΠΊΠ°Ρ†ΠΈΠΈ Π₯Π°Ρ€Ρ‚Ρ€ΠΈ. Π‘Ρ‚Π°Ρ‚ΠΈΡΡ‚ΠΈΡ‡Π΅ΡΠΊΡƒΡŽ ΠΎΠ±Ρ€Π°Π±ΠΎΡ‚ΠΊΡƒ Ρ€Π΅Π·ΡƒΠ»ΡŒΡ‚Π°Ρ‚ΠΎΠ² ΠΏΡ€ΠΎΠ²ΠΎΠ΄ΠΈΠ»ΠΈ ΠΌΠ΅Ρ‚ΠΎΠ΄Π°ΠΌΠΈ Π²Π°Ρ€ΠΈΠ°Ρ†ΠΈΠΎΠ½Π½ΠΎΠΉ статистики с использованиСм нСпарамСтричСских ΠΌΠ΅Ρ‚ΠΎΠ΄ΠΎΠ² Π°Π½Π°Π»ΠΈΠ·Π°, взаимосвязи ΠΌΠ΅ΠΆΠ΄Ρƒ ΠΏΡ€ΠΈΠ·Π½Π°ΠΊΠ°ΠΌΠΈ опрСдСляли ΠΏΠΎ коэффициСнту Π»ΠΈΠ½Π΅ΠΉΠ½ΠΎΠΉ коррСляции ΠŸΠΈΡ€ΡΠΎΠ½Π°.Π Π΅Π·ΡƒΠ»ΡŒΡ‚Π°Ρ‚Ρ‹ ΠΈ ΠΈΡ… обсуТдСниС. НаиболСС эффСктивным ΠΏΡ€Π΅ΠΏΠ°Ρ€Π°Ρ‚ΠΎΠΌ ΠΈΠ· Π³Ρ€ΡƒΠΏΠΏΡ‹ ΠΈΠ½Π³ΠΈΠ±ΠΈΡ‚ΠΎΡ€ΠΎΠ² Π°Ρ€ΠΎΠΌΠ°Ρ‚Π°Π·Ρ‹ Π² ΡƒΠΌΠ΅Π½ΡŒΡˆΠ΅Π½ΠΈΠΈ гипСртрофичСского роста ΠΆΠΈΡ€ΠΎΠ²ΠΎΠΉ Ρ‚ΠΊΠ°Π½ΠΈ Ρƒ всСх ΠΆΠΈΠ²ΠΎΡ‚Π½Ρ‹Ρ… нСзависимо ΠΎΡ‚ ΠΏΠΎΠ»Π° ΠΈ возраста ΠΏΠΎΠΊΠ°Π·Π°Π» сСбя Π»Π΅Ρ‚Ρ€ΠΎΠ·ΠΎΠ». Анастрозол ΠΈ экзСмСстан ΠΏΠΎΠΊΠ°Π·Π°Π»ΠΈ нСсколько ΠΌΠ΅Π½ΡŒΡˆΡƒΡŽ ΡΡ„Ρ„Π΅ΠΊΡ‚ΠΈΠ²Π½ΠΎΡΡ‚ΡŒ ΠΈ Π»ΡƒΡ‡ΡˆΠ΅ влияли Π½Π° ΠΆΠΈΠ²ΠΎΡ‚Π½Ρ‹Ρ… ΠΌΠΎΠ»ΠΎΠ΄ΠΎΠ³ΠΎ возраста.Π’Ρ‹Π²ΠΎΠ΄Ρ‹. Π’Π²Π΅Π΄Π΅Π½ΠΈΠ΅ Π»Π΅Ρ‚Ρ€ΠΎΠ·ΠΎΠ»Π° Π² Π΄ΠΎΠ·Π΅ 0,309 ΠΌΠ³/ΠΊΠ³ ΠΏΡ€ΠΈΠ²ΠΎΠ΄ΠΈΠ»ΠΎ ΠΊ достовСрному ΡƒΠΌΠ΅Π½ΡŒΡˆΠ΅Π½ΠΈΡŽ срСднСй массы Ρ‚Π΅Π»Π° Π½Π° 24-35Β % ΠΈ ΡΠΎΠΎΡ‚Π²Π΅Ρ‚ΡΡ‚Π²ΡƒΡŽΡ‰Π΅Π³ΠΎ увСличСния содСрТания Π±Π΅Π»ΠΊΠ° Π² Π²ΠΈΡΡ†Π΅Ρ€Π°Π»ΡŒΠ½ΠΎΠΉ ΠΆΠΈΡ€ΠΎΠ²ΠΎΠΉ Ρ‚ΠΊΠ°Π½ΠΈ Π½Π° 12-46Β % с высоким коэффициСнтом коррСляции.ΠΠΊΡ‚ΡƒΠ°Π»ΡŒΠ½Ρ–ΡΡ‚ΡŒ. Π’ останні Ρ€ΠΎΠΊΠΈ всС Π±Ρ–Π»ΡŒΡˆΠ΅ ΡƒΠ²Π°Π³ΠΈ ΠΏΡ€ΠΈΠ΄Ρ–Π»ΡΡ”Ρ‚ΡŒΡΡ Ρ€ΠΎΠ»Ρ– посилСння ΠΏΠ΅Ρ€ΠΈΡ„Π΅Ρ€ΠΈΡ‡Π½ΠΎΡ— Π°Ρ€ΠΎΠΌΠ°Ρ‚Π°Π·Π½ΠΎΡ— Ρ€Π΅Π°ΠΊΡ†Ρ–Ρ— Π² ΠΏΠ°Ρ‚ΠΎΠ³Π΅Π½Π΅Π·Ρ– Ρ€ΠΎΠ·Π²ΠΈΡ‚ΠΊΡƒ оТиріння Ρ– ΠΌΠ΅Ρ‚Π°Π±ΠΎΠ»Ρ–Ρ‡Π½ΠΎΠ³ΠΎ синдрому. Π‘Π»ΠΈΠ·ΡŒΠΊΠΎ 39Β % Ρ‡ΠΎΠ»ΠΎΠ²Ρ–ΠΊΡ–Π² Ρ‚Π° 40Β % ΠΆΡ–Π½ΠΎΠΊ ΡΡ‚Π°Ρ€ΡˆΠ΅ 18-ΠΈ Ρ€ΠΎΠΊΡ–Π² ΠΏΠΎ Π²ΡΡŒΠΎΠΌΡƒ світу ΡΡ‚Ρ€Π°ΠΆΠ΄Π°ΡŽΡ‚ΡŒ Π²Ρ–Π΄ Π½Π°Π΄ΠΌΡ–Ρ€Π½ΠΎΡ— Π²Π°Π³ΠΈ (Π†ΠœΠ’ > 25) Ρ– Ρƒ Ρ‚Π°ΠΊΠΈΡ… ΠΏΠ°Ρ†Ρ–Ρ”Π½Ρ‚Ρ–Π² ΠΌΠ°ΠΉΠΆΠ΅ Π² усіх Π²ΠΈΠΏΠ°Π΄ΠΊΠ°Ρ… Π²Ρ–Π΄ΠΌΡ–Ρ‡Π°Ρ”Ρ‚ΡŒΡΡ дисбаланс статСвих Π³ΠΎΡ€ΠΌΠΎΠ½Ρ–Π², який Ρ” наслідком посилСння Π°Ρ€ΠΎΠΌΠ°Ρ‚Π°Π·Π½ΠΎΡ— активності ΠΆΠΈΡ€ΠΎΠ²ΠΎΡ— Ρ‚ΠΊΠ°Π½ΠΈΠ½ΠΈ.ΠœΠ΅Ρ‚Π° Ρ€ΠΎΠ±ΠΎΡ‚ΠΈ. Дослідити Π²ΠΏΠ»ΠΈΠ² Ρ–Π½Π³Ρ–Π±Ρ–Ρ‚ΠΎΡ€Ρ–Π² Π°Ρ€ΠΎΠΌΠ°Ρ‚Π°Π·ΠΈ Π½Π° ΠΏΠΎΠΊΠ°Π·Π½ΠΈΠΊΠΈ Π·Π°Π³Π°Π»ΡŒΠ½ΠΎΡ— маси Ρ‚Ρ–Π»Π°, вмісту Π±Ρ–Π»ΠΊΠ° Π² ΠΆΠΈΡ€ΠΎΠ²Ρ–ΠΉ Ρ‚ΠΊΠ°Π½ΠΈΠ½Ρ– Ρ‚Π° Ρ—Ρ… ΠΊΠΎΡ€Π΅Π»ΡΡ†Ρ–ΡŽ Ρƒ хом’ячків Π· Π΅ΠΊΡΠΏΠ΅Ρ€ΠΈΠΌΠ΅Π½Ρ‚Π°Π»ΡŒΠ½ΠΈΠΌ ΠΌΠ΅Ρ‚Π°Π±ΠΎΠ»Ρ–Ρ‡Π½ΠΈΠΌ синдромом.ΠœΠ°Ρ‚Π΅Ρ€Ρ–Π°Π»ΠΈ Ρ‚Π° ΠΌΠ΅Ρ‚ΠΎΠ΄ΠΈ. Вміст Π±Ρ–Π»ΠΊΠ° Π² Π³ΠΎΠΌΠΎΠ³Π΅Π½Π°Ρ‚Ρ– Π²Ρ–ΡΡ†Π΅Ρ€Π°Π»ΡŒΠ½ΠΎΡ— ΠΆΠΈΡ€ΠΎΠ²ΠΎΡ— Ρ‚ΠΊΠ°Π½ΠΈΠ½ΠΈ Π²ΠΈΠ·Π½Π°Ρ‡Π°Π»ΠΈ Π·Π° ΠΌΠ΅Ρ‚ΠΎΠ΄ΠΎΠΌ Π›ΠΎΡƒΡ€Ρ– Π² ΠΌΠΎΠ΄ΠΈΡ„Ρ–ΠΊΠ°Ρ†Ρ–Ρ— Π₯Π°Ρ€Ρ‚Ρ€Ρ–. Бтатистичну ΠΎΠ±Ρ€ΠΎΠ±ΠΊΡƒ Ρ€Π΅Π·ΡƒΠ»ΡŒΡ‚Π°Ρ‚Ρ–Π² ΠΏΡ€ΠΎΠ²ΠΎΠ΄ΠΈΠ»ΠΈ ΠΌΠ΅Ρ‚ΠΎΠ΄Π°ΠΌΠΈ Π²Π°Ρ€Ρ–Π°Ρ†Ρ–ΠΉΠ½ΠΎΡ— статистики Π· використанням Π½Π΅ΠΏΠ°Ρ€Π°ΠΌΠ΅Ρ‚Ρ€ΠΈΡ‡Π½ΠΈΡ… ΠΌΠ΅Ρ‚ΠΎΠ΄Ρ–Π² Π°Π½Π°Π»Ρ–Π·Ρƒ, взаємозв’язки ΠΌΡ–ΠΆ ΠΎΠ·Π½Π°ΠΊΠ°ΠΌΠΈ Π²ΠΈΠ·Π½Π°Ρ‡Π°Π»ΠΈ Π·Π° ΠΊΠΎΠ΅Ρ„Ρ–Ρ†Ρ–Ρ”Π½Ρ‚ΠΎΠΌ Π»Ρ–Π½Ρ–ΠΉΠ½ΠΎΡ— корСляції ΠŸΡ–Ρ€ΡΠΎΠ½Π°.Π Π΅Π·ΡƒΠ»ΡŒΡ‚Π°Ρ‚ΠΈ Ρ‚Π° Ρ—Ρ… обговорСння. ΠΠ°ΠΉΠ΅Ρ„Π΅ΠΊΡ‚ΠΈΠ²Π½Ρ–ΡˆΠΈΠΌ ΠΏΡ€Π΅ΠΏΠ°Ρ€Π°Ρ‚ΠΎΠΌ Π· Π³Ρ€ΡƒΠΏΠΈ Ρ–Π½Π³Ρ–Π±Ρ–Ρ‚ΠΎΡ€Ρ–Π² Π°Ρ€ΠΎΠΌΠ°Ρ‚Π°Π·ΠΈ ΠΏΡ€ΠΈ Π·ΠΌΠ΅Π½ΡˆΠ΅Π½Π½Ρ– Π³Ρ–ΠΏΠ΅Ρ€Ρ‚Ρ€ΠΎΡ„Ρ–Ρ‡Π½ΠΎΠ³ΠΎ росту ΠΆΠΈΡ€ΠΎΠ²ΠΎΡ— Ρ‚ΠΊΠ°Π½ΠΈΠ½ΠΈ Ρƒ всіх Ρ‚Π²Π°Ρ€ΠΈΠ½ Π½Π΅Π·Π°Π»Π΅ΠΆΠ½ΠΎ Π²Ρ–Π΄ статі Ρ– Π²Ρ–ΠΊΡƒ ΠΏΠΎΠΊΠ°Π·Π°Π² сСбС Π»Π΅Ρ‚Ρ€ΠΎΠ·ΠΎΠ». Анастрозол Ρ– СкзСмСстан ΠΏΠΎΠΊΠ°Π·Π°Π»ΠΈ Π΄Π΅Ρ‰ΠΎ ΠΌΠ΅Π½ΡˆΡƒ Π΅Ρ„Π΅ΠΊΡ‚ΠΈΠ²Π½Ρ–ΡΡ‚ΡŒ Ρ– ΠΊΡ€Π°Ρ‰Π΅ Π²ΠΏΠ»ΠΈΠ²Π°Π»ΠΈ Π½Π° Ρ‚Π²Π°Ρ€ΠΈΠ½ ΠΌΠΎΠ»ΠΎΠ΄ΠΎΠ³ΠΎ Π²Ρ–ΠΊΡƒ.Висновки. ВвСдСння Π»Π΅Ρ‚Ρ€ΠΎΠ·ΠΎΠ»Ρƒ Π² Π΄ΠΎΠ·Ρ– 0,309 ΠΌΠ³/ΠΊΠ³ ΠΏΡ€ΠΈΠ·Π²ΠΎΠ΄ΠΈΠ² Π΄ΠΎ Π²Ρ–Ρ€ΠΎΠ³Ρ–Π΄Π½ΠΎΠ³ΠΎ змСншСння ΡΠ΅Ρ€Π΅Π΄Π½ΡŒΠΎΡ— маси Ρ‚Ρ–Π»Π° Π½Π° 24-35Β % Ρ– Π²Ρ–Π΄ΠΏΠΎΠ²Ρ–Π΄Π½ΠΎΠ³ΠΎ Π·Π±Ρ–Π»ΡŒΡˆΠ΅Π½Π½Ρ вмісту Π±Ρ–Π»ΠΊΠ° Π² Π²Ρ–ΡΡ†Π΅Ρ€Π°Π»ΡŒΠ½Ρ–ΠΉ ΠΆΠΈΡ€ΠΎΠ²Ρ–ΠΉ Ρ‚ΠΊΠ°Π½ΠΈΠ½Ρ– Π½Π° 12-46Β % Π· високим ΠΊΠΎΠ΅Ρ„Ρ–Ρ†Ρ–Ρ”Π½Ρ‚ΠΎΠΌ корСляції

    Heat kernel of non-minimal gauge field kinetic operators on Moyal plane

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    We generalize the Endo formula originally developed for the computation of the heat kernel asymptotic expansion for non-minimal operators in commutative gauge theories to the noncommutative case. In this way, the first three non-zero heat trace coefficients of the non-minimal U(N) gauge field kinetic operator on the Moyal plane taken in an arbitrary background are calculated. We show that the non-planar part of the heat trace asymptotics is determined by U(1) sector of the gauge model. The non-planar or mixed heat kernel coefficients are shown to be gauge-fixing dependent in any dimension of space-time. In the case of the degenerate deformation parameter the lowest mixed coefficients in the heat expansion produce non-local gauge-fixing dependent singularities of the one-loop effective action that destroy the renormalizability of the U(N) model at one-loop level. The twisted-gauge transformation approach is discussed.Comment: 21 pages, misprints correcte

    The quark contents of the nucleon and their implication for dark matter search

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    7 pages, 6 figures, talk given at the 31st International Symposium on Lattice Field Theory (Lattice 2013), July 29-August 3 2013, Mainz, GermanyWe present results concerning the light and strange quark contents of the nucleon using Nf=2+1+1N_f=2+1+1 flavours of maximally twisted mass fermions. The corresponding Οƒ\sigma-terms are casting light on the origin of the nucleon mass and their values are important to interpret experimental data from direct dark matter searches. We discuss our strategy to estimate systematic uncertainties arising in our computations. Our preliminary results for the Οƒβˆ’\sigma-terms read \sigma_{\pi N} = 37(2.6)(24.7) \mev and \sigma_s=28(8)(10) \mev. We present our recent final analysis of the yNy_N parameter and found yN=0.135(46)y_N=0.135(46) including systematics\cite{Alexandrou:2013nda}

    Sigma terms and strangeness content of the nucleon with Nf=2+1+1Nf=2+1+1 twisted mass fermions

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    7 pages, 6 figures. Talk given at the XXX International Symposium on Lattice Field Theory - Lattice 2012, June 24-29, 2012 Cairns, AustraliaWe investigate excited state contaminations in a direct computation of the nucleon Οƒ\sigma-terms. This is an important source of systematic effects that needs to be controlled besides the light quark mass dependence and lattice artefacts. We use maximally twisted mass fermions with dynamical light (uu,dd), strange and charm degrees of freedom. Employing an efficient stochastic evaluation of the disconnected contribution available for twisted mass fermions, we show that the effect of excited states is large in particular for the strange Οƒ\sigma-terms, where it can be as big as O(≳40O(\gtrsim 40%). This leads to the unfortunate conclusion that even with a source-sink separation of \sim 1.5 \fm and a good statistical accuracy it is not clear, whether excited state effects are under control for this quantity

    Evaluation of disconnected contributions using GPUs

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    7 pages, 10 figuresWe calculate on GPUs the disconnected diagrams associated with the nucleon form factors and moments of generalized parton distributions using Nf=2+1+1 twisted mass fermions. We employ the truncated solver method (TSM) for estimating the all-to-all propagators. Due to the fact that the TSM involves many low precision stochastic estimators, the usage of GPUs is essential to perform efficiently the contractions and the inversions

    Chapter 14 Lower Permian and Devonian carbonate reservoir rocks in the onshore and offshore areas of the Pechora Sea

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    <p>In the northern part of the Varandey–Adzva zone carbonate reservoirs have developed that have porosity favourable for oil and gas accumulations. The void space in these reservoirs, besides primary porosity, is associated with fracturing, giving rise to good reservoir potential in both the onshore and offshore parts of the Varandey–Adzva zone. The similarity of today's structure and the development during the main stages of geological history for offshore and onshore parts, the availability in the section of productive oil- and gas-bearing reservoirs, the high capacity of the reservoirs, the uniformity of lithofacial composition of the productive intervals and the uniqueness of the deposits structure – all these features contribute to the oil and gas potential of the Pechora Sea structures. </p

    Prosjektbasert kunnskapsoverfΓΈring - digitalisering som konkurransefortrinn

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    A number of stochastic methods developed for the calculation of fermion loops are investigated and compared, in particular with respect to their efficiency when implemented on Graphics Processing Units (GPUs). We assess the performance of the various methods by studying the convergence and statistical accuracy obtained for observables that require a large number of stochastic noise vectors, such as the isoscalar nucleon axial charge. The various methods are also examined for the evaluation of sigma-terms where noise reduction techniques specific to the twisted mass formulation can be utilized thus reducing the required number of stochastic noise vectors

    GENETIC DIVERSITY OF BREAD WHEAT LANDRACES COLLECTED BY SCIENTIFIC EXPEDITIONS IN AFGHANISTAN

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    N.I. Vavilov considered the territory of Afghanistan where one of the initial farming centers was generated to be part of the Middle Asian center of crop origin and diversity. Hexaploid 42-chromosomal wheat with the genome constitutionΒ AABBDD was also attributed to that center. Scientific expeditions from different countries surveyed repeatedly the agricultural regions of Afghanistan to collect wild and cultivated plants. The collected material from those regions is preserved at various seed banks. The distribution of Afghani landraces of bread wheat (Triticum aestivum L.) from the Vavilov Institute of Plant Industry and Australian collections depending on elevation above sea level and climatic conditions (humidity/aridity) is discussed. Data about sources of valuable traits for breeding identified among the accessions of Afghani bread wheat are presented. A set of 116 genotypes was analyzed for 13 microsatellite loci to investigate the structure of wheat genetic diversity
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