325 research outputs found

    Collective Excitations of (154)Sm nucleus at FEL{gamma}+LHC Collider

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    The production of collective excitations of the (154)Sm at FEL{gamma}+LHC collider is investigated. We show that this machine will be a powerful tool for investigation of high energy level excitations.Comment: 6 pages, 1 figure, 4 table

    ВлияниС Π»Π΅Ρ†ΠΈΡ‚ΠΈΠ½Π° ΠΈ ΠΊΠ°Π·Π΅ΠΈΠ½Π° Π½Π° спСктр Π°Π½Ρ‚ΠΈΠΌΠΈΠΊΡ€ΠΎΠ±Π½ΠΎΠΉ активности Π±Π°ΠΊΡ‚Π΅Ρ€ΠΈΠΎΡ†ΠΈΠ½ΠΎΠ² молочнокислых Π±Π°ΠΊΡ‚Π΅Ρ€ΠΈΠΉ, ΠΈΠ·ΠΎΠ»ΠΈΡ€ΠΎΠ²Π°Π½Π½Ρ‹Ρ… ΠΈΠ· азСрбайдТанских сыров

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    Π˜Π·ΡƒΡ‡Π΅Π½ΠΎ влияниС Π»Π΅Ρ†ΠΈΡ‚ΠΈΠ½Π° ΠΈ ΠΊΠ°Π·Π΅ΠΈΠ½Π° Π½Π° спСктр Π°Π½Ρ‚ΠΈΠΌΠΈΠΊΡ€ΠΎΠ±Π½ΠΎΠΉ активности Π±Π°ΠΊΡ‚Π΅Ρ€ΠΈΠΎΡ†ΠΈΠ½ΠΎΠ², Π²Ρ‹Π΄Π΅Π»Π΅Π½Π½Ρ‹Ρ… ΠΈΠ· ΡˆΡ‚Π°ΠΌΠΌΠΎΠ² Lactobacillus paracasei spp. paracasei BN ATS 8w, Enterococcus faecium А5 ΠΈ Lactobacillus rhamnosus FAZ 16m. Π’ качСствС пассивной ΠΊΡƒΠ»ΡŒΡ‚ΡƒΡ€Ρ‹ ΠΈΡΠΏΠΎΠ»ΡŒΠ·ΠΎΠ²Π°Π½Ρ‹ Lactobacillus bulgaricus 340, Listeria innocua Π‘IP 80.11, Escherichia coli ATCC 23355, Enterococcus faecalis ATCC 1.144. ΠŸΡ€ΠΈ исслСдуСмых концСнтрациях Π»Π΅Ρ†ΠΈΡ‚ΠΈΠ½ ΠΈ ΠΊΠ°Π·Π΅ΠΈΠ½ ΠΎΡ‚Ρ€ΠΈΡ†Π°Ρ‚Π΅Π»ΡŒΠ½ΠΎ влияли Π½Π° Π°ΠΊΡ‚ΠΈΠ²Π½ΠΎΡΡ‚ΡŒ Π±Π°ΠΊΡ‚Π΅Ρ€ΠΈΠΎΡ†ΠΈΠ½ΠΎΠ². Π­Ρ‚ΠΈ Ρ„Π°ΠΊΡ‚ΠΎΡ€Ρ‹ входят Π² состав Π±ΠΎΠ»ΡŒΡˆΠΈΠ½ΡΡ‚Π²Π° Ρ„Π΅Ρ€ΠΌΠ΅Π½Ρ‚ΠΈΡ€ΠΎΠ²Π°Π½Π½Ρ‹Ρ… ΠΏΡ€ΠΎΠ΄ΡƒΠΊΡ‚ΠΎΠ²

    The Effect of the Pairing Interaction on the Energies of Isobar Analog Resonances in 112βˆ’124^{112-124}Sb and Isospin Admixture in 100βˆ’124^{100-124}Sn Isotopes

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    In the present study, the effect of the pairing interaction and the isovector correlation between nucleons on the properties of the isobar analog resonances (IAR) in 112βˆ’124^{112-124}Sb isotopes and the isospin admixture in 100βˆ’124^{100-124}Sn isotopes is investigated within the framework of the quasiparticle random phase approximation (QRPA). The form of the interaction strength parameter is related to the shell model potential by restoring the isotopic invariance of the nuclear part of the total Hamiltonian. In this respect, the isospin admixtures in the 100βˆ’124^{100-124}Sn isotopes are calculated, and the dependence of the differential cross section and the volume integral JFJ_{F} for the Sn(3^{3}He,t)Sb reactions at E(3^{3}He)=200=200 MeV occurring by the excitation of IAR on mass number A is examined. Our results show that the calculated value for the isospin mixing in the 100^{100}Sn isotope is in good agreement with Colo et al.'s estimates (4βˆ’5(4-5%), and the obtained values for the volume integral change within the error range of the value reported by Fujiwara et al. (53Β±\pm5 MeV fm3^{3}). Moreover, it is concluded that although the differential cross section of the isobar analog resonance for the (3^{3}He,t) reactions is not sensitive to pairing correlations between nucleons, a considerable effect on the isospin admixtures in Nβ‰ˆZN\approx Z isotopes can be seen with the presence of these correlations.Comment: 16 pages, 5 EPS figures and 2 tables, Late

    Errors in chromosome segregation during oogenesis and early embryogenesis

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    Errors in chromosome segregation occurring during human oogenesis and early embryogenesis are very common. Meiotic chromosome development during oogenesis is subdivided into three distinct phases. The crucial events, including meiotic chromosome pairing and recombination, take place from around 11 weeks until birth. Oogenesis is then arrested until ovulation, when the first meiotic division takes place, with the second meiotic division not completed until after fertilization. It is generally accepted that most aneuploid fetal conditions, such as trisomy 21 Down syndrome, are due to maternal chromosome segregation errors. The underlying reasons are not yet fully understood. It is also clear that superimposed on the maternal meiotic chromosome segregation errors, there are a large number of mitotic errors taking place post-zygotically during the first few cell divisions in the embryo. In this chapter, we summarise current knowledge of errors in chromosome segregation during oogenesis and early embryogenesis, with special reference to the clinical implications for successful assisted reproduction

    A pilot study of application of the Stroke Riskometer mobile app for assessment of the course and clinical outcomes of COVID-19 among hospitalised patients

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    Early determination of COVID-19 severity and health outcomes could facilitate better treatment of patients. Different methods and tools have been developed for predicting outcomes of COVID-19, but they are difficult to use in routine clinical practice. Methods: We conducted a prospective cohort study of inpatients aged 20-92 years, diagnosed with COVID-19 to determine whether their individual 5-year absolute risk of stroke at the time of hospital admission predicts the course of COVID-19 severity and mortality. The risk of stroke was determined by the Stroke Riskometer mobile application. Results: We examined 385 patients hospitalised with COVID-19 (median age 61 years). The participants were categorised based on COVID-19 severity: 271 (70.4%) to the β€œNot severe” and 114 (29.6%) to the β€œSevere” groups. The median risk of stroke the next day after hospitalisation was significantly higher among patients in the Severe group (2.83 [95% CI 2.35-4.68]) vs the Not severe group (1.11 [95% CI 1.00–1.29]). The median risk of stroke and median systolic blood pressure (SBP) were significantly higher among non-survivors (12.04 [95% CI 2.73-21.19]) and (150 [95% CI 140-170]) vs survivors (1.31 [95% CI 1.14-1.52]), 134 [95% CI 130-135]), respectively. Those who spent more than 2.5 hours a week on physical activity were 3.1 times more likely to survive from COVID-19. Those who consumed more than one standard alcohol drink a day, or suffered with atrial fibrillation, or had poor memory were 2.5, 2.3, and 2.6 times more likely not to survive from COVID-19, respectively. Conclusions: High risk of stroke, physical inactivity, alcohol intake, high SBP, and atrial fibrillation are associated with severity and mortality of COVID-19. Our findings suggest that the Stroke Riskometer app could be used as a simple predictive tool of COVID-19 severity and mortality

    БиохимичСскиС основы Π²ΠΈΠ·ΡƒΠ°Π»ΠΈΠ·Π°Ρ†ΠΈΠΈ ΠΏΡ€ΠΈ ΠΏΠΎΠ·ΠΈΡ‚Ρ€ΠΎΠ½Π½ΠΎΠΉ эмиссионной Ρ‚ΠΎΠΌΠΎΠ³Ρ€Π°Ρ„ΠΈΠΈ Π² ΠΎΠ½ΠΊΠΎΠ»ΠΎΠ³ΠΈΠΈ. Π§Π°ΡΡ‚ΡŒ 2

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    This article provides an overview of the main literature data of biochemical basics and the clinical applicationΒ of positron emission tomography, one of the promising technologies of radiation imaging in oncology.In the current part we discuss in detail the biokinetics of radiopharmaceuticals used to visualize various groupsΒ of tumor cells receptors. These include angiogenesis markers - RGD peptides, ligands for somatostatin receptors, agents for sex hormone imaging, ligands for prostate-specific membrane antigen and to activating EGFR mutantΒ kinase. It contains results of studies that were dedicated to search for optimal modifications of these radiopharmaceuticals to increase diagnostic efficiency, their comparative analysis is carried out, the results of their use in cancer research and development prospects in this industry are highlighted.Настоящая ΡΡ‚Π°Ρ‚ΡŒΡ содСрТит ΠΎΠ±Π·ΠΎΡ€ основных Π»ΠΈΡ‚Π΅Ρ€Π°Ρ‚ΡƒΡ€Π½Ρ‹Ρ… Π΄Π°Π½Π½Ρ‹Ρ…, посвящСнных биохимичСским основам ΠΈ клиничСскому ΠΏΡ€ΠΈΠΌΠ΅Π½Π΅Π½ΠΈΡŽ ΠΏΠΎΠ·ΠΈΡ‚Ρ€ΠΎΠ½Π½ΠΎΠΉ эмиссионной Ρ‚ΠΎΠΌΠΎΠ³Ρ€Π°Ρ„ΠΈΠΈ – ΠΎΠ΄Π½ΠΎΠΉ ΠΈΠ· пСрспСктивных Ρ‚Π΅Ρ…Π½ΠΎΠ»ΠΎΠ³ΠΈΠΉ Π»ΡƒΡ‡Π΅Π²ΠΎΠΉ Π²ΠΈΠ·ΡƒΠ°Π»ΠΈΠ·Π°Ρ†ΠΈΠΈ Π² ΠΎΠ½ΠΊΠΎΠ»ΠΎΠ³ΠΈΠΈ.Π’ Π΄Π°Π½Π½ΠΎΠΉ части ΠΏΠΎΠ΄Ρ€ΠΎΠ±Π½ΠΎ рассмотрСны особСнности Π±ΠΈΠΎΠΊΠΈΠ½Π΅Ρ‚ΠΈΠΊΠΈ радиофармацСвтичСских ΠΏΡ€Π΅ΠΏΠ°Ρ€Π°Ρ‚ΠΎΠ², примСняСмых для Π²ΠΈΠ·ΡƒΠ°Π»ΠΈΠ·Π°Ρ†ΠΈΠΈ Ρ€Π°Π·Π»ΠΈΡ‡Π½Ρ‹Ρ… Π³Ρ€ΡƒΠΏΠΏ Ρ€Π΅Ρ†Π΅ΠΏΡ‚ΠΎΡ€ΠΎΠ², прСдставлСнных Π² ΠΎΠΏΡƒΡ…ΠΎΠ»Π΅Π²Ρ‹Ρ… ΠΊΠ»Π΅Ρ‚ΠΊΠ°Ρ…. К ним относятся ΠΌΠ°Ρ€ΠΊΠ΅Ρ€Ρ‹ Π°Π½Π³ΠΈΠΎΠ³Π΅Π½Π΅Π·Π° – RGD-ΠΏΠ΅ΠΏΡ‚ΠΈΠ΄Ρ‹, Π»ΠΈΠ³Π°Π½Π΄Ρ‹ ΠΊ Ρ€Π΅Ρ†Π΅ΠΏΡ‚ΠΎΡ€Π°ΠΌ соматостатина, Π°Π³Π΅Π½Ρ‚Ρ‹ для Π²ΠΈΠ·ΡƒΠ°Π»ΠΈΠ·Π°Ρ†ΠΈΠΈ Ρ€Π΅Ρ†Π΅ΠΏΡ‚ΠΎΡ€ΠΎΠ² ΠΊ ΠΏΠΎΠ»ΠΎΠ²Ρ‹ΠΌ Π³ΠΎΡ€ΠΌΠΎΠ½Π°ΠΌ, Π»ΠΈΠ³Π°Π½Π΄Ρ‹ ΠΊ простатспСцифичСскому ΠΌΠ΅ΠΌΠ±Ρ€Π°Π½Π½ΠΎΠΌΡƒ Π°Π½Ρ‚ΠΈΠ³Π΅Π½ΡƒΒ ΠΈ ΠΊΠΈΠ½Π°Π·Π΅, Π°ΠΊΡ‚ΠΈΠ²ΠΈΡ€ΡƒΠ΅ΠΌΠΎΠΉ ΠΌΡƒΡ‚Π°Ρ†ΠΈΠ΅ΠΉ EGFR. ΠŸΡ€Π΅Π΄ΡΡ‚Π°Π²Π»Π΅Π½Ρ‹ Ρ€Π΅Π·ΡƒΠ»ΡŒΡ‚Π°Ρ‚Ρ‹ исслСдований ΠΏΠΎ поиску ΠΎΠΏΡ‚ΠΈΠΌΠ°Π»ΡŒΠ½Ρ‹Ρ…Β ΠΌΠΎΠ΄ΠΈΡ„ΠΈΠΊΠ°Ρ†ΠΈΠΉ этих радиофармацСвтичСских ΠΏΡ€Π΅ΠΏΠ°Ρ€Π°Ρ‚ΠΎΠ² для ΠΏΠΎΠ²Ρ‹ΡˆΠ΅Π½ΠΈΡ диагностичСской эффСктивности,Β ΠΏΡ€ΠΎΠ²Π΅Π΄Π΅Π½ ΠΈΡ… ΡΡ€Π°Π²Π½ΠΈΡ‚Π΅Π»ΡŒΠ½Ρ‹ΠΉ Π°Π½Π°Π»ΠΈΠ·, освСщСны Ρ€Π΅Π·ΡƒΠ»ΡŒΡ‚Π°Ρ‚Ρ‹ ΠΈΡ… примСнСния Ρƒ ΠΏΠ°Ρ†ΠΈΠ΅Π½Ρ‚ΠΎΠ² онкологичСского профиля ΠΈ пСрспСктивы развития Π² Π΄Π°Π½Π½ΠΎΠΉ отрасли
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