7 research outputs found

    Formation of professional competence of future teachers of kindergartens: scientific discourse problems

    Full text link
    The article describes the basic concepts related to the problem of formation of professional competence of future teacher sofkindergartens βˆ’ "competence" and "competence"; the result of the analysis of the competence-specific professional activity of a specialist, professional requirements to itΠ’ ΡΡ‚Π°Ρ‚ΡŒΠ΅ Ρ€Π°ΡΠΊΡ€Ρ‹Π²Π°ΡŽΡ‚ΡΡ Π±Π°Π·ΠΎΠ²Ρ‹Π΅ понятия, связанныС с ΠΏΡ€ΠΎΠ±Π»Π΅ΠΌΠΎΠΉ формирования ΠΏΡ€ΠΎΡ„Π΅ΡΡΠΈΠΎΠ½Π°Π»ΡŒΠ½ΠΎΠΉ компСтСнтности Π±ΡƒΠ΄ΡƒΡ‰ΠΈΡ… воспитатСлСй дСтских Π΄ΠΎΡˆΠΊΠΎΠ»ΡŒΠ½Ρ‹Ρ… ΡƒΡ‡Ρ€Π΅ΠΆΠ΄Π΅Π½ΠΈΠΉ – Β«ΠΊΠΎΠΌΠΏΠ΅Ρ‚Π΅Π½Ρ‚Π½ΠΎΡΡ‚ΡŒΒ» ΠΈ «компСтСнция». ΠŸΡ€ΠΈΠ²Π΅Π΄Π΅Π½Ρ‹ Ρ€Π΅Π·ΡƒΠ»ΡŒΡ‚Π°Ρ‚Ρ‹ Π°Π½Π°Π»ΠΈΠ·Π° компСтСнтности с ΡƒΡ‡Π΅Ρ‚ΠΎΠΌ спСцифики ΠΏΡ€ΠΎΡ„Π΅ΡΡΠΈΠΎΠ½Π°Π»ΡŒΠ½ΠΎΠΉ Π΄Π΅ΡΡ‚Π΅Π»ΡŒΠ½ΠΎΡΡ‚ΠΈ спСциалиста, ΠΏΡ€ΠΎΡ„Π΅ΡΡΠΈΠΎΠ½Π°Π»ΡŒΠ½Ρ‹Ρ… Ρ‚Ρ€Π΅Π±ΠΎΠ²Π°Π½ΠΈΠΉ ΠΊ Π½Π΅ΠΌ

    STUDY OF EXPRESSION OF HBD-1 AND HBD-2 GENES IN EPITHELIAL CELLS OF MUCOUS UPPER AIRWAY IN NEWBORNS WITH PNEUMONIA DEPENDING ON THE CAUSATIVE AGENT

    Get PDF
    Ξ’-defensins play an important role in protecting the fetus from infection, so the expression of these antimicrobial peptides in the respiratory tract in newborns is really important. In this regard, we set a task of studying the expression of the HBD-1 and HBD-2 genes in the epithelial cells of the mucous of the upper airway in newborns with pneumonia and in healthy newborns, depending on the causative agent. Also, the polymorphic marker G(-20) A in the DEFB1 gene was associated with infectious pathology of newborns (in particular pneumonia). Methods: The microflora and the factors of congenital immunity on the mucous membranes of the upper airway have been studied in two groups: newborns with ventilator-associated and congenital pneumonia. The biological material was scrapings of epithelial cells of the mucous membrane of the upper airway of newborns and puerperas and blood. Results: It was found that the expression of the HBD-2 gene increases 2.3-fold in children who have an infectious agent, but there are no clinical manifestations of pneumonia. A significant decrease in HBD-2 (3.2 times) in patients with pneumonia caused by K. pneumonia was shown. The frequencies of alleles of the DEFB1 gene in the fetal infection group and in the comparison group: allele G - 0.66, 0.79, allele A - 0.34, 0.21, respectively. The frequencies of the genotypes of the test marker in mothers in the ventilator-associated, congenital pneumonia and the comparison group were as follows: GG - 0.78, 0.58, 0.58; AA is 0, 0.25, 0; AG - 0.22, 0.17, 0.42, respectively. In newborns allele G dominated among alleles (frequency was higher than 0.73 in all groups) and genotype GG (frequency exceeded 0.52). Conclusion: In the course of the study, it was confirmed that Ξ²-defensins protect the mucous from infectious agents. The results indicate that the genetic marker G (-20) A of the DEFB1 gene is associated with the risk of developing the child's UTI

    ΠœΠžΠ”Π•Π›Π¬ ΠžΠ Π“ΠΠΠ˜Π—ΠΠ¦Π˜Π˜ РАННЕЙ Π”Π˜ΠΠ“ΠΠžΠ‘Π’Π˜ΠšΠ˜ РАКА ПОЧКИ

    Get PDF
    Β Challenges of early kidney cancer detection and screening significantly increase morbidity and mortality rates, thus dictating the need to improve prevention, early diagnosis and organization of medical care for the population of primorsky Krai. The aim of the study was to create a model for improving early diagnosis of kidney cancer in the primorsky Krai using the program for assessing the risk of kidney cancer (ARKC). The model included a population questionnaire to identify risk factors and algorithm of patient routing (Β«roadmapΒ») with suspected kidney cancer for in-depth examination and treatment. Material and Methods. 2982 residents of the primorsky Krai (women – 1950, men – 1032) in the age range 29–75 took part in the questionnaire survey using the ARKC program. Results. No risk factors were identified in 1879 (63.0 %) individuals. All patients at high risk for kidney cancer (656 – 22.0 %) and patients of the uncertainty group (447 – 15.0 %) were referred for physical and ultrasound examination to exclude kidney tumors. Non-tumor pathology of the kidneys was revealed in 156 (14.0 %) patients. Renal mass suspicious for renal cell carcinoma was revealed in 21 (1.9 %) patients (later confirmed in 17 patients with stage I–II cancer, in 3 patients with stage III, in 1 patient with stage IV). According to the results of the factor analysis, two main groups of factors had a predominant effect on the rise in the overall kidney cancer incidencer. The first group of factors (65.0 %) is caused by smoking, excessive alcohol consumption, overweight, unbalanced nutrition, and the influence of carcinogens. The second group of factors (35.0 %) is caused by problems of a medical and social nature: the low material and technical base of primary care medical organizations, the insufficient professional training of medical workers on the issues of cancer prevention and treatment, including kidney cancer.Conclusion. To improve the early detection of kidney cancer, a prognostic model with computer program for assessing the individual risk of developing kidney cancer was developed. population survey using the ARKC computer program allowed us to narrow the diagnostic search, form risk groups and effectively route patients with suspected kidney cancer for in-depth examination in accordance with the Β«road mapΒ».Β Β ΠŸΡ€ΠΎΠ±Π»Π΅ΠΌΠ° Ρ€Π°Π½Π½Π΅ΠΉ диагностики ΠΈ скрининга Ρ€Π°ΠΊΠ° ΠΏΠΎΡ‡ΠΊΠΈ сущСствСнным ΠΎΠ±Ρ€Π°Π·ΠΎΠΌ влияСт Π½Π° Π·Π°ΠΏΡƒΡ‰Π΅Π½Π½ΠΎΡΡ‚ΡŒ ΠΈ ΡΠΌΠ΅Ρ€Ρ‚Π½ΠΎΡΡ‚ΡŒ ΠΎΡ‚ Π΄Π°Π½Π½ΠΎΠΉ ΠΏΠ°Ρ‚ΠΎΠ»ΠΎΠ³ΠΈΠΈ, Ρ‡Ρ‚ΠΎ Π΄ΠΈΠΊΡ‚ΡƒΠ΅Ρ‚ Π½Π΅ΠΎΠ±Ρ…ΠΎΠ΄ΠΈΠΌΠΎΡΡ‚ΡŒ Ρ€Π΅ΡˆΠ΅Π½ΠΈΡ ΠΏΡ€ΠΎΠ±Π»Π΅ΠΌ ΠΏΡ€ΠΎΡ„ΠΈΠ»Π°ΠΊΡ‚ΠΈΠΊΠΈ, ΡƒΠ»ΡƒΡ‡ΡˆΠ΅Π½ΠΈΡ Ρ€Π°Π½Π½Π΅ΠΉ диагностики ΠΈ ΠΎΡ€Π³Π°Π½ΠΈΠ·Π°Ρ†ΠΈΠΈ мСдицинской ΠΏΠΎΠΌΠΎΡ‰ΠΈ насСлСнию ΠŸΡ€ΠΈΠΌΠΎΡ€ΡΠΊΠΎΠ³ΠΎ края ΠΏΡ€ΠΈ злокачСствСнных новообразованиях (Π—ΠΠž) ΠΏΠΎΡ‡ΠΊΠΈ. ЦСлью исслСдования явилось созданиС ΠΌΠΎΠ΄Π΅Π»ΠΈ ΡΠΎΠ²Π΅Ρ€ΡˆΠ΅Π½ΡΡ‚Π²ΠΎΠ²Π°Π½ΠΈΡ Ρ€Π°Π½Π½Π΅ΠΉ диагностики Π—ΠΠž ΠΏΠΎΡ‡ΠΊΠΈ Π² ΠŸΡ€ΠΈΠΌΠΎΡ€ΡΠΊΠΎΠΌ ΠΊΡ€Π°Π΅ Π½Π° основС Ρ€Π°Π·Ρ€Π°Π±ΠΎΡ‚ΠΊΠΈ ΠΈ внСдрСния Π² ΠΏΡ€Π°ΠΊΡ‚ΠΈΠΊΡƒ ΠΊΠΎΠΌΠΏΡŒΡŽΡ‚Π΅Ρ€Π½ΠΎΠΉ ΠΏΡ€ΠΎΠ³Ρ€Π°ΠΌΠΌΡ‹ ΠΎΡ†Π΅Π½ΠΊΠΈ риска Ρ€Π°ΠΊΠ° ΠΏΠΎΡ‡ΠΊΠΈ – «ОРРП». Π­Ρ‚Π° модСль Π²ΠΊΠ»ΡŽΡ‡Π°Π΅Ρ‚ Π² сСбя Π°Π½ΠΊΠ΅Ρ‚ΠΈΡ€ΠΎΠ²Π°Π½ΠΈΠ΅ (опрос) насСлСния Π½Π° выявлСниС Ρ„Π°ΠΊΡ‚ΠΎΡ€ΠΎΠ² риска ΠΈ Π°Π»Π³ΠΎΡ€ΠΈΡ‚ΠΌ ΠΌΠ°Ρ€ΡˆΡ€ΡƒΡ‚ΠΈΠ·Π°Ρ†ΠΈΠΈ ΠΏΠ°Ρ†ΠΈΠ΅Π½Ρ‚ΠΎΠ² («дороТная ΠΊΠ°Ρ€Ρ‚Π°Β») с  ΠΏΠΎΠ΄ΠΎΠ·Ρ€Π΅Π½ΠΈΠ΅ΠΌ Π½Π° Ρ€Π°ΠΊ ΠΏΠΎΡ‡ΠΊΠΈ для ΡƒΠ³Π»ΡƒΠ±Π»Π΅Π½Π½ΠΎΠ³ΠΎ обслСдования ΠΈ лСчСния.ΠœΠ°Ρ‚Π΅Ρ€ΠΈΠ°Π» ΠΈ ΠΌΠ΅Ρ‚ΠΎΠ΄Ρ‹. ΠžΠ±ΡŠΠ΅ΠΊΡ‚ΠΎΠΌ исслСдования Π±Ρ‹Π»ΠΎ насСлСниС ΠŸΡ€ΠΈΠΌΠΎΡ€ΡΠΊΠΎΠ³ΠΎ края. ΠŸΡ€ΠΎΠ²Π΅Π΄Π΅Π½ΠΎ Π°Π½ΠΊΠ΅Ρ‚ΠΈΡ€ΠΎΠ²Π°Π½ΠΈΠ΅ ΠΏΠΎ ΠΏΡ€ΠΎΠ³Ρ€Π°ΠΌΠΌΠ΅ «ОРРП», Π² ΠΊΠΎΡ‚ΠΎΡ€ΠΎΠΌ приняли участиС 2982 ТитСля Π² возрастС ΠΎΡ‚ 29 Π΄ΠΎ 75 Π»Π΅Ρ‚ (ΠΆΠ΅Π½Ρ‰ΠΈΠ½ – 1950, ΠΌΡƒΠΆΡ‡ΠΈΠ½ – 1032). Π‘ Ρ†Π΅Π»ΡŒΡŽ поиска Π½Π°ΡƒΡ‡Π½Ρ‹Ρ… Ρ€Π΅ΡˆΠ΅Π½ΠΈΠΉ ΠΏΠΎ сниТСнию уровнясмСртности ΠΎΡ‚ Π½ΠΎΠ²ΠΎΠΎΠ±Ρ€Π°Π·ΠΎΠ²Π°Π½ΠΈΠΉ ΠΏΡ€ΠΎΠ²Π΅Π΄Π΅Π½ Π°Π½Π°Π»ΠΈΠ· ΠΏΡ€ΠΈΡ‡ΠΈΠ½Β  роста онкологичСской заболСваСмости ΠΈ смСртности насСлСния ΠŸΡ€ΠΈΠΌΠΎΡ€ΡΠΊΠΎΠ³ΠΎ края с использованиСм  мСдицинских ΠΊΠ°Ρ€Ρ‚ ΠΏΠ°Ρ†ΠΈΠ΅Π½Ρ‚ΠΎΠ², Ρ€Π΅Π·ΡƒΠ»ΡŒΡ‚Π°Ρ‚ΠΎΠ² вСдомствСнных экспСртиз мСдицинских ΠΎΡ€Π³Π°Π½ΠΈΠ·Π°Ρ†ΠΈΠΉ, ΠΏΡ€ΠΎΡ‚ΠΈΠ²ΠΎΡ€Π°ΠΊΠΎΠ²Ρ‹Ρ… комиссий, ΠΊΠΎΠ»Π»Π΅Π³ΠΈΠΉ, Π°ΠΏΠΏΠ°Ρ€Π°Ρ‚Π½Ρ‹Ρ… совСщаний, ΠΌΠΎΠ½ΠΈΡ‚ΠΎΡ€ΠΈΠ½Π³Π° ΠΏΠΎΠΊΠ°Π·Π°Ρ‚Π΅Π»Π΅ΠΉ государствСнной ΠΏΡ€ΠΎΠ³Ρ€Π°ΠΌΠΌΡ‹ Β«Π Π°Π·Π²ΠΈΡ‚ΠΈΠ΅ здравоохранСния ΠŸΡ€ΠΈΠΌΠΎΡ€ΡΠΊΠΎΠ³ΠΎ края», «Плана мСроприятий ΠΏΠΎ сниТСнию смСртности насСлСния ΠΎΡ‚ Π½ΠΎΠ²ΠΎΠΎΠ±Ρ€Π°Π·ΠΎΠ²Π°Π½ΠΈΠΉ, Π²Ρ‚ΠΎΠΌ числС злокачСствСнных». Π Π΅Π·ΡƒΠ»ΡŒΡ‚Π°Ρ‚Ρ‹. По Ρ€Π΅Π·ΡƒΠ»ΡŒΡ‚Π°Ρ‚Π°ΠΌ опроса Ρƒ 1879 (63,0 %) Π»ΠΈΡ† Π½Π΅ выявлСно Ρ„Π°ΠΊΡ‚ΠΎΡ€ΠΎΠ² риска, ΠΈΠΌ Ρ€Π΅ΠΊΠΎΠΌΠ΅Π½Π΄ΠΎΠ²Π°Π½ΠΎ ΠΏΡ€ΠΎΠΉΡ‚ΠΈ ΠΊΠΎΠ½Ρ‚Ρ€ΠΎΠ»ΡŒΠ½ΠΎΠ΅ Π°Π½ΠΊΠ΅Ρ‚ΠΈΡ€ΠΎΠ²Π°Π½ΠΈΠ΅ Ρ‡Π΅Ρ€Π΅Π· 3 Π³ΠΎΠ΄Π°. ΠŸΠ°Ρ†ΠΈΠ΅Π½Ρ‚Ρ‹ Π³Ρ€ΡƒΠΏΠΏΡ‹ высокого риска (656 – 22,0 %) Π±Ρ‹Π»ΠΈ Π½Π°ΠΏΡ€Π°Π²Π»Π΅Π½Ρ‹ ΠΊ ΡƒΡ€ΠΎΠ»ΠΎΠ³Ρƒ для ΡƒΠ³Π»ΡƒΠ±Π»Π΅Π½Π½ΠΎΠ³ΠΎ обслСдования. ΠŸΠ°Ρ†ΠΈΠ΅Π½Ρ‚Ρ‹ Π³Ρ€ΡƒΠΏΠΏΡ‹ нСопрСдСлСнности (447 – 15,0 %) Π±Ρ‹Π»ΠΈ Π½Π°ΠΏΡ€Π°Π²Π»Π΅Π½Ρ‹ Π½Π° осмотр участкового Ρ‚Π΅Ρ€Π°ΠΏΠ΅Π²Ρ‚Π°. ВсСм ΠΏΠ°Ρ†ΠΈΠ΅Π½Ρ‚Π°ΠΌ Π³Ρ€ΡƒΠΏΠΏ нСопрСдСлСнности ΠΈ высокого риска Π½Π°Π·Π½Π°Ρ‡Π°Π»ΠΎΡΡŒ ΡƒΠ»ΡŒΡ‚Ρ€Π°Π·Π²ΡƒΠΊΠΎΠ²ΠΎΠ΅ исслСдованиС для ΠΈΡΠΊΠ»ΡŽΡ‡Π΅Π½ΠΈΡ новообразования ΠΏΠΎΡ‡Π΅ΠΊ. Π£ 156 (14,0 %) ΠΏΠ°Ρ†ΠΈΠ΅Π½Ρ‚ΠΎΠ² выявлСна нСопухолСвая патология ΠΏΠΎΡ‡Π΅ΠΊ, Ρƒ 21 (1,9 %) ΠΏΠ°Ρ†ΠΈΠ΅Π½Ρ‚Π° – ΠΏΠΎΠ΄ΠΎΠ·Ρ€Π΅Π½ΠΈΠ΅ Π½Π° Π—ΠΠž ΠΏΠΎΡ‡Π΅ΠΊ, ΠΊΠΎΡ‚ΠΎΡ€ΠΎΠ΅ ΠΏΠΎΠ·ΠΆΠ΅ ΠΏΠΎΠ΄Ρ‚Π²Π΅Ρ€Π΄ΠΈΠ»ΠΎΡΡŒ (Ρƒ 17 ΠΏΠ°Ρ†ΠΈΠ΅Π½Ρ‚ΠΎΠ² I–II стадии, Ρƒ 3 ΠΏΠ°Ρ†ΠΈΠ΅Π½Ρ‚ΠΎΠ² – III стадии, Ρƒ 1 ΠΏΠ°Ρ†ΠΈΠ΅Π½Ρ‚Π° – IV стадии). По Ρ€Π΅Π·ΡƒΠ»ΡŒΡ‚Π°Ρ‚Π°ΠΌ Π°Π½Π°Π»ΠΈΠ·Π° Π°Π½ΠΊΠ΅Ρ‚ Π½Π° рост ΠΏΠΎΠΊΠ°Π·Π°Ρ‚Π΅Π»Π΅ΠΉ заболСваСмости Ρ€Π°ΠΊΠΎΠΌ ΠΏΠΎΡ‡Π΅ΠΊ ΠΎΠΊΠ°Π·Π°Π»ΠΈ прСимущСствСнноС влияниС Π΄Π²Π΅ основныС Π³Ρ€ΡƒΠΏΠΏΡ‹ Ρ„Π°ΠΊΡ‚ΠΎΡ€ΠΎΠ². ΠŸΠ΅Ρ€Π²Π°Ρ Π³Ρ€ΡƒΠΏΠΏΠ° Ρ„Π°ΠΊΡ‚ΠΎΡ€ΠΎΠ² (65,0 %) обусловлСна ΠΊΡƒΡ€Π΅Π½ΠΈΠ΅ΠΌ,Β  Ρ‡Ρ€Π΅Π·ΠΌΠ΅Ρ€Π½Ρ‹ΠΌ ΡƒΠΏΠΎΡ‚Ρ€Π΅Π±Π»Π΅Π½ΠΈΠ΅ΠΌ алкоголя, ΠΈΠ·Π±Ρ‹Ρ‚ΠΎΡ‡Π½ΠΎΠΉ массой  Ρ‚Π΅Π»Π°, нСсбалансированным ΠΏΠΈΡ‚Π°Π½ΠΈΠ΅ΠΌ, влияниСм  ΠΊΠ°Π½Ρ†Π΅Ρ€ΠΎΠ³Π΅Π½ΠΎΠ². Вторая Π³Ρ€ΡƒΠΏΠΏΠ° Ρ„Π°ΠΊΡ‚ΠΎΡ€ΠΎΠ² (35,0 %) обусловлСна ΠΏΡ€ΠΎΠ±Π»Π΅ΠΌΠ°ΠΌΠΈ ΠΌΠ΅Π΄ΠΈΠΊΠΎ-ΡΠΎΡ†ΠΈΠ°Π»ΡŒΠ½ΠΎΠ³ΠΎ Ρ…Π°Ρ€Π°ΠΊΡ‚Π΅Ρ€Π°: низкая ΠΌΠ°Ρ‚Π΅Ρ€ΠΈΠ°Π»ΡŒΠ½ΠΎ-тСхничСская Π±Π°Π·Π° мСдицинских ΠΎΡ€Π³Π°Π½ΠΈΠ·Π°Ρ†ΠΈΠΉΒ  ΠΏΠ΅Ρ€Π²ΠΈΡ‡Π½ΠΎΠ³ΠΎ Π·Π²Π΅Π½Π°, нСдостаточная ΠΏΡ€ΠΎΡ„Π΅ΡΡΠΈΠΎΠ½Π°Π»ΡŒΠ½Π°ΡΒ  ΠΏΠΎΠ΄Π³ΠΎΡ‚ΠΎΠ²ΠΊΠ° мСдицинских Ρ€Π°Π±ΠΎΡ‚Π½ΠΈΠΊΠΎΠ² ΠΏΠΎ вопросам  ΠΏΡ€ΠΎΡ„ΠΈΠ»Π°ΠΊΡ‚ΠΈΠΊΠΈ, своСврСмСнной диагностики ΠΈ лСчСния онкологичСских Π·Π°Π±ΠΎΠ»Π΅Π²Π°Π½ΠΈΠΉ, Π² Ρ‚ΠΎΠΌ числС Ρ€Π°ΠΊΠ° ΠΏΠΎΡ‡ΠΊΠΈ. Π—Π°ΠΊΠ»ΡŽΡ‡Π΅Π½ΠΈΠ΅. Для осущСствлСния мСроприятий ΠΏΠΎ ΡƒΠ»ΡƒΡ‡ΡˆΠ΅Π½ΠΈΡŽ Ρ€Π°Π½Π½Π΅ΠΉ диагностики Π—ΠΠž ΠΏΠΎΡ‡Π΅ΠΊ Ρ€Π°Π·Ρ€Π°Π±ΠΎΡ‚Π°Π½Π° прогностичСская модСль Π½Π° основС ΠΊΠΎΠΌΠΏΡŒΡŽΡ‚Π΅Ρ€Π½ΠΎΠΉ ΠΏΡ€ΠΎΠ³Ρ€Π°ΠΌΠΌΡ‹ для ΠΎΡ†Π΅Π½ΠΊΠΈ ΠΈΠ½Π΄ΠΈΠ²ΠΈΠ΄ΡƒΠ°Π»ΡŒΠ½ΠΎΠ³ΠΎ риска развития Π—ΠΠž ΠΏΠΎΡ‡Π΅ΠΊ Ρƒ насСлСния  ΠŸΡ€ΠΈΠΌΠΎΡ€ΡΠΊΠΎΠ³ΠΎ края. АнкСтированиС насСлСния с использованиСм ΠΊΠΎΠΌΠΏΡŒΡŽΡ‚Π΅Ρ€Π½ΠΎΠΉ ΠΏΡ€ΠΎΠ³Ρ€Π°ΠΌΠΌΡ‹ «ОРРП» ΠΊΠ°ΠΊ ΠΏΠ΅Ρ€Π²ΠΎΠ³ΠΎ этапа популяционного скрининга ΠΏΠΎΠ·Π²ΠΎΠ»ΠΈΠ»ΠΎ ΡΡƒΠ·ΠΈΡ‚ΡŒ диагностичСский поиск, ΡΡ„ΠΎΡ€ΠΌΠΈΡ€ΠΎΠ²Π°Ρ‚ΡŒΠ³Ρ€ΡƒΠΏΠΏΡ‹ риска ΠΈ ΠΎΡΡƒΡ‰Π΅ΡΡ‚Π²ΠΈΡ‚ΡŒ ΡΡ„Ρ„Π΅ΠΊΡ‚ΠΈΠ²Π½ΡƒΡŽ ΠΌΠ°Ρ€ΡˆΡ€ΡƒΡ‚ΠΈΠ·Π°Ρ†ΠΈΡŽ ΠΏΠ°Ρ†ΠΈΠ΅Π½Ρ‚ΠΎΠ² с ΠΏΠΎΠ΄ΠΎΠ·Ρ€Π΅Π½ΠΈΠ΅ΠΌ Π½Π° Π—ΠΠž ΠΏΠΎΡ‡ΠΊΠΈ для ΡƒΠ³Π»ΡƒΠ±Π»Π΅Π½Π½ΠΎΠ³ΠΎ обслСдования.

    Preliminary results of the first scientific drilling on Lake Baikal, Buguldeika site, southeastern Siberia

    No full text
    The Baikal Drilling Project (BDP) is a multinational effort to investigate the paleoclimatic history and tectonic evolution of the Baikal sedimentary basin during the Late Neogene. In March 1993 the Baikal drilling system was successfuly deployed from a barge frozen into position over a topographic high, termed the Buguldeika saddle, in the southern basin of Lake Baikal. The BDP-93 scientific team, made up of Russian, American and Japanese scientists, successfully recovered the first long (\u3e100 m) hydraulic piston cores from two holes in 354 m of water. High quality cores of 98 m (Hole 1) and 102 m (Hole 2), representing sedimentation over the last 500,000 years, were collected in 78 mm diameter plastic liners with an average recovery of 72% and 90%, respectively. Magnetic susceptibility logging reveals an excellent hole-to-hole correlation. In this report the scientific team describes the preliminary analytical results from BDP-93 hole 1 cores. Radiocarbon dating by accelerator mass spectrometry provides an accurate chronology for the upper portion of Hole 1. Detailed lithologic characteristics, rock magnetic properties and inorganic element distributions show a significant change to the depositional environment occuring at 50 m subbottom depth, approximately 250,000 BP. This change may be due to uplift and rotation of the horst block in the Buguldeika saddle. The sedimentary section above 50 m is pelitic with varve-like laminae, whereas the section below 50 m contains a high proportion of sand and gravel horizons often organized into turbidite sequences. Accordingly, high resolution seismic records reveal a change in sonic velocity at this depth. It is inferred that sedimentation prior to 250 ka BP was from the west via the Buguldeika river system. After 250 ka BP the Buguldeika saddle reflects an increase in hemipelagic sediments admixed with fine-grained material from the Selenga River drainage basin, east of Lake Baikal. Variations in the spore-pollen assemblage, diatoms, biogenic silica content, rock magnetic properties, clay mineralogy and organic carbon in the upper 50 m of BDP-93-1 reveal a detailed record of climate change over approximately the last 250,000 years. These variables alternate in a pattern characteristic of glacial/interglacial climatic fluctuations. The present age model suggests that the climate signal recorded in Lake Baikal sediments is similar to Late Quaternary signals recorded in Chinese loess sections and in marine sediments. Copyright Β© 1996 INQUA/ Elsevier Science Ltd
    corecore