189 research outputs found

    Providing healthsaving mode orientation of children in recreation and rehabilitation

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    It was investigated the features of the regime of the day students in the period of rest and recovery. It was formulated the main principles of hygiene supplies for recreation, it was proved the presence of health-saving by optimizing the orientation components of the daily routineΠ˜Π·ΡƒΡ‡Π΅Π½Ρ‹ особСнности Ρ€Π΅ΠΆΠΈΠΌΠ° дня школьников Π² ΠΏΠ΅Ρ€ΠΈΠΎΠ΄ ΠΎΡ‚Π΄Ρ‹Ρ…Π° ΠΈ оздоровлСния. Π‘Ρ„ΠΎΡ€ΠΌΡƒΠ»ΠΈΡ€ΠΎΠ²Π°Π½Ρ‹ основныС ΠΏΡ€ΠΈΠ½Ρ†ΠΈΠΏΡ‹ гигиСничСского обСспСчСния Ρ€Π΅ΠΊΡ€Π΅Π°Ρ†ΠΈΠΈ, Π΄ΠΎΠΊΠ°Π·Π°Π½ΠΎ Π½Π°Π»ΠΈΡ‡ΠΈΠ΅ Π·Π΄ΠΎΡ€ΠΎΠ²ΡŒΠ΅ ΡΠ±Π΅Ρ€Π΅Π³Π°ΡŽΡ‰Π΅ΠΉ направлСнности Π·Π° счСт ΠΎΠΏΡ‚ΠΈΠΌΠΈΠ·Π°Ρ†ΠΈΠΈ ΠΊΠΎΠΌΠΏΠΎΠ½Π΅Π½Ρ‚ΠΎΠ² Ρ€Π΅ΠΆΠΈΠΌΠ° Π΄Π½

    Materials of the final reports on the joint Soviet-American experiment on the Kosmos-936 biosatellite

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    Biological experiments onboard the Kosmos-936 investigated the effect of weightlessness on the basic components of cells, the genetic structure and energy apparatus. Genetic studies were made on the Drosophila melanogaster. Experiments were made on higher vegetation and fungi as well. The results indicate that weightlessness cannot be the principal barrier for normal development. An experiment with ectopic osteogenesis in weightlessness was carried out. Measurements were made of cosmic radiation inside and outside the biosatellite

    New behavioral forms of sportsman students identification in university digital educational reality

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    The relevance of the research is due to a wide range of changes in the University educational reality caused by the influence of the Internet, computers, smartphones, mobile devices and modern gadgets on the behavioural forms of student identification. These processes are becoming a matter of particular concern to the public and University teachers. In this regard, this study reveals the features of the value priorities of the University digital educational reality, which modify the behavioural forms of student identification. In the course of pedagogical modelling, which is the leading research method, the phenomenon of new behavioural forms of student identification is identified as the leading idea of the University digital educational reality. This article reveals the key values of student identity identification in the University digital educational reality. The structure and content of new behavioural forms of student identification are established. Based on the research materials, the correction module of new behavioural forms of student identification in the University digital educational reality is justified. The module effectiveness is proved by the results of using new behavioural forms of student identification in the University educational process. The materials of the article are recommended to teachers, methodologists, organizers of the educational process and University students

    The TBX3 gene, mutated in Ulnar-Mammary syndrome, promotes growth of mammary epithelial cells independently of ARF and p53.

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    ΠžΠ¦Π†ΠΠšΠ Π’Π˜Π”ΠžΠ’ΠžΠ“Πž Π‘ΠšΠ›ΠΠ”Π£ ΠœΠ†ΠšΠ ΠžΠ€Π›ΠžΠ Π˜ ΠŸΠ ΠžΠ‘Π’Π†Π’Π£ Π’ΠžΠ’Π‘Π’ΠžΠ‡ КИШКИ Π£ Π©Π£Π Π†Π’ ПРИ Π‘ΠΠ“ΠΠ’ΠžΠ ΠΠ—ΠžΠ’ΠžΠœΠ£ Π†ΠΠ“ΠΠ›Π―Π¦Π†Π™ΠΠžΠœΠ£ Π’ΠŸΠ›Π˜Π’Π† ΠΠ†Π’Π ΠžΠšΠ‘ΠžΠ›Π†ΠΠ£

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    An important in the scheme of research on the hygienic justification of hygienic regulations for the admissible content of drugs in the air of the working zone of pharmaceutical enterprises is the establishment of parameters of toxicity, allergic, embryotoxic, dysbiotic action. Aim. Evaluation of the microflora species composition of the direct colon in rats with repeated inhalation exposure to nitroxoline. Materials and methods. The dysbiotic effect of nitroxolin was studied in rats, which were exposed to the drug at concentrations of 5 mg/m3, 15 mg/m3,                45 mg/m3 for 30 days by intranasal administration. Results and discussion. The dominant representatives of the fecal biotope normobites are Bifidobacteria, Lactobacteria, bacteria of the intestinal sticks, in particular E. coli, Enterococcus, and Staphylococcus, which were detected in the excrements of 100.0% of animals. The frequency of occurrence of Peptostreptococcus and Streptococcus ranged from 33.3 % - 66.7 %, Protea - 16.7% - 50.0 %, Candida fungi - 16.7 % - 33.3 %, Mold – 0 % - 16,7 %. When exposed to nitroxoline concentrations of 5 mg/m3, 15 mg/m3, 45 mg/m3, the prevalence rate for the dominant bacterial populations: Bifidobacteria, Lactobacillus, bacteria in the E. coli group, Enterococcus and Staphylococcus remained unchanged at 100.0%. Nitroxolin at a concentration of 5 mg/m3 did not cause changes in the structure of the intestinal microbiota. Concentrations of 15 mg/m3, 45 mg/m3 caused an increase in the frequency of detection of opportunistic strains and reduction of Peptostreptococcus and Streptococcus. At the end of the recovery period, the frequency of occurrence of Proteus, Candida fungi, Mold fungi in the fecal biotope of rats of the second (15 mg/m3) and third experimental group (45 mg/m3) was kept at the level of 4 weeks of the experimental level. Conclusions. Multiple inhalation action of nitroxolin in concentration 15 mg/m3 causes dysbiosis of the large intestine in rats, with a concentration of compound of 15 mg/m3 is a threshold for this effect.Π’Π°ΠΆΠ½Ρ‹ΠΌ Π² схСмС исслСдований ΠΏΠΎ гигиСничСскому обоснованию гигиСничСских Ρ€Π΅Π³Π»Π°ΠΌΠ΅Π½Ρ‚ΠΎΠ² допустимого содСрТания лСкарствСнных срСдств Π² Π²ΠΎΠ·Π΄ΡƒΡ…Π΅ Ρ€Π°Π±ΠΎΡ‡Π΅ΠΉ Π·ΠΎΠ½Ρ‹ фармацСвтичСских прСдприятий являСтся ΠΎΠΏΡ€Π΅Π΄Π΅Π»Π΅Π½ΠΈΠ΅ ΠΏΠ°Ρ€Π°ΠΌΠ΅Ρ‚Ρ€ΠΎΠ² токсичности, аллСргичСского, эмбриотоксичСского, дисбиотичСского дСйствия. ЦСль. ΠžΡ†Π΅Π½ΠΊΠ° Π²ΠΈΠ΄ΠΎΠ²ΠΎΠ³ΠΎ состава ΠΌΠΈΠΊΡ€ΠΎΡ„Π»ΠΎΡ€Ρ‹ содСрТимого прямого ΠΎΡ‚Π΄Π΅Π»Π° толстого ΠΊΠΈΡˆΠ΅Ρ‡Π½ΠΈΠΊΠ° Ρƒ крыс ΠΏΡ€ΠΈ ΠΌΠ½ΠΎΠ³ΠΎΠΊΡ€Π°Ρ‚Π½ΠΎΠΌ ингаляционном воздСйствии нитроксолина. ΠœΠ°Ρ‚Π΅Ρ€ΠΈΠ°Π»Ρ‹ ΠΈ ΠΌΠ΅Ρ‚ΠΎΠ΄Ρ‹. ДисбиотичСскоС дСйствиС нитроксолина ΠΈΠ·ΡƒΡ‡Π°Π»ΠΈ Π½Π° крысах, ΠΊΠΎΡ‚ΠΎΡ€Ρ‹Ρ… Π² Ρ‚Π΅Ρ‡Π΅Π½ΠΈΠ΅ 30 Π΄Π½Π΅ΠΉ ΠΏΠΎΠ΄Π²Π΅Ρ€Π³Π°Π»ΠΈ Π²ΠΎΠ·Π΄Π΅ΠΉΡΡ‚Π²ΠΈΡŽ лСкарствСнного срСдства Π² концСнтрациях 5 ΠΌΠ³/ΠΌ3, 15 ΠΌΠ³/ΠΌ3, 45 ΠΌΠ³/ΠΌ3, ΠΏΡƒΡ‚Π΅ΠΌ ΠΈΠ½Ρ‚Ρ€Π°Π½Π°Π·Π°Π»ΡŒΠ½ΠΎΠ³ΠΎ ввСдСния. Π Π΅Π·ΡƒΠ»ΡŒΡ‚Π°Ρ‚Ρ‹ ΠΈ обсуТдСниС. Π”ΠΎΠΌΠΈΠ½Π°Π½Ρ‚Π½Ρ‹ΠΌΠΈ прСдставитСлями Π½ΠΎΡ€ΠΌΠΎΠ±ΠΈΠΎΡ‚Ρ‹ Ρ„Π΅ΠΊΠ°Π»ΡŒΠ½ΠΎΠ³ΠΎ Π±ΠΈΠΎΡ‚ΠΎΠΏΠ° ΡΠ²Π»ΡΡŽΡ‚ΡΡ Π±ΠΈΡ„ΠΈΠ΄ΠΎΠ±Π°ΠΊΡ‚Π΅Ρ€ΠΈΠΈ, Π»Π°ΠΊΡ‚ΠΎΠ±Π°ΠΊΡ‚Π΅Ρ€ΠΈΠΈ, Π±Π°ΠΊΡ‚Π΅Ρ€ΠΈΠΈ Π³Ρ€ΡƒΠΏΠΏΡ‹ ΠΊΠΈΡˆΠ΅Ρ‡Π½Ρ‹Ρ… ΠΏΠ°Π»ΠΎΡ‡Π΅ΠΊ (Π‘Π“ΠšΠŸ), Π² частности Π•. coli, энтСрококки, стафилококки, ΠΊΠΎΡ‚ΠΎΡ€Ρ‹Π΅ присутствовали Π² испраТнСниях 100,0 % ΠΆΠΈΠ²ΠΎΡ‚Π½Ρ‹Ρ…. Частота встрСчаСмости пСптострСптококков ΠΈ стрСптококков колСбалась Π² ΠΏΡ€Π΅Π΄Π΅Π»Π°Ρ… 33,3 % - 66,7 %, протСя - 16,7 % - 50,0 %, Π³Ρ€ΠΈΠ±ΠΎΠ² Ρ€ΠΎΠ΄Π° ΠΊΠ°Π½Π΄ΠΈΠ΄Π° - 16,7% - 33,3 %, плСсСни – 0 % - 16,7 %. ΠŸΡ€ΠΈ воздСйствии ΠΊΠΎΠ½Ρ†Π΅Π½Ρ‚Ρ€Π°Ρ†ΠΈΠΉ нитроксолина 5 ΠΌΠ³/ΠΌ3, 15 ΠΌΠ³/ΠΌ3, 45 ΠΌΠ³/ΠΌ3 ΠΏΠΎΠΊΠ°Π·Π°Ρ‚Π΅Π»ΡŒ частоты встрСчаСмости для Π΄ΠΎΠΌΠΈΠ½ΠΈΡ€ΡƒΡŽΡ‰ΠΈΡ… Π±Π°ΠΊΡ‚Π΅Ρ€ΠΈΠ°Π»ΡŒΠ½Ρ‹Ρ… популяций: Π±ΠΈΡ„ΠΈΠ΄ΠΎ-, Π»Π°ΠΊΡ‚ΠΎΠ±Π°ΠΊΡ‚Π΅Ρ€ΠΈΠΉ, Π‘Π“ΠšΠŸ, энтСрококков ΠΈ стафилококков оставался ΠΏΡ€Π΅ΠΆΠ½ΠΈΠΌ - 100,0%. Нитроксолин Π² ΠΊΠΎΠ½Ρ†Π΅Π½Ρ‚Ρ€Π°Ρ†ΠΈΠΈ 5 ΠΌΠ³/ΠΌ3 Π½Π΅ Π²Ρ‹Π·Ρ‹Π²Π°Π» ΠΈΠ·ΠΌΠ΅Π½Π΅Π½ΠΈΠΉ Π² структурС ΠΌΠΈΠΊΡ€ΠΎΠ±ΠΈΠΎΡ‚Ρ‹ ΠΊΠΈΡˆΠ΅Ρ‡Π½ΠΈΠΊΠ°. ΠšΠΎΠ½Ρ†Π΅Π½Ρ‚Ρ€Π°Ρ†ΠΈΠΈ 15 ΠΌΠ³/ΠΌ3, 45 ΠΌΠ³/ΠΌ3 ΡƒΠ²Π΅Π»ΠΈΡ‡ΠΈΠ²Π°Π»ΠΈ частоту выявлСния условно-ΠΏΠ°Ρ‚ΠΎΠ³Π΅Π½Π½Ρ‹Ρ… ΡˆΡ‚Π°ΠΌΠΌΠΎΠ² ΠΈ сниТСниС - пСптострСптококков ΠΈ стрСптококков. Π’ ΠΊΠΎΠ½Ρ†Π΅ Π²ΠΎΡΡΡ‚Π°Π½ΠΎΠ²ΠΈΡ‚Π΅Π»ΡŒΠ½ΠΎΠ³ΠΎ ΠΏΠ΅Ρ€ΠΈΠΎΠ΄Π° частота встрСчаСмости протСя, Π³Ρ€ΠΈΠ±ΠΎΠ² Ρ€ΠΎΠ΄Π° ΠΊΠ°Π½Π΄ΠΈΠ΄Π°, плСснСвых Π³Ρ€ΠΈΠ±ΠΎΠ² Π² Ρ„Π΅ΠΊΠ°Π»ΡŒΠ½ΠΎΠΌ Π±ΠΈΠΎΡ‚ΠΎΠΏΠ΅ крыс Π²Ρ‚ΠΎΡ€ΠΎΠΉ (15 ΠΌΠ³/ΠΌ3) ΠΈ Ρ‚Ρ€Π΅Ρ‚ΡŒΠ΅ΠΉ ΠΎΠΏΡ‹Ρ‚Π½ΠΎΠΉ Π³Ρ€ΡƒΠΏΠΏΡ‹ (45 ΠΌΠ³/ΠΌ3) ΡƒΠ΄Π΅Ρ€ΠΆΠΈΠ²Π°Π»ΠΈΡΡŒ Π½Π° ΡƒΡ€ΠΎΠ²Π½Π΅ ΠΏΠΎΠΊΠ°Π·Π°Ρ‚Π΅Π»Π΅ΠΉ 4 Π½Π΅Π΄Π΅Π»ΠΈ экспСримСнта. Π’ΠΈΠ²ΠΎΠ΄Ρ‹. ΠœΠ½ΠΎΠ³ΠΎΠΊΡ€Π°Ρ‚Π½ΠΎΠ΅ ингаляционноС дСйствиС нитроксолина Π² ΠΊΠΎΠ½Ρ†Π΅Π½Ρ‚Ρ€Π°Ρ†ΠΈΠΈ 15 ΠΌΠ³/ΠΌ3 Π²Ρ‹Π·Ρ‹Π²Π°Π΅Ρ‚ дисбактСриоз толстого ΠΊΠΈΡˆΠ΅Ρ‡Π½ΠΈΠΊΠ° Ρƒ крыс, ΠΏΡ€ΠΈ этом концСнтрация 15 ΠΌΠ³/ΠΌ3 являСтся ΠΏΠΎΡ€ΠΎΠ³ΠΎΠ²ΠΎΠΉ для этого эффСкта.РСзюмС. Π’Π°ΠΆΠ»ΠΈΠ²ΠΈΠΌ Ρƒ схСмі Π΄ΠΎΡΠ»Ρ–Π΄ΠΆΠ΅Π½ΡŒ ΠΏΠΎ Π³Ρ–Π³Ρ–Ρ”Π½Ρ–Ρ‡Π½ΠΎΠΌΡƒ ΠΎΠ±Π³Ρ€ΡƒΠ½Ρ‚ΡƒΠ²Π°Π½Π½ΡŽ Π³Ρ–Π³Ρ–Ρ”Π½Ρ–Ρ‡Π½ΠΈΡ… Ρ€Π΅Π³Π»Π°ΠΌΠ΅Π½Ρ‚Ρ–Π² допустимого вмісту Π»Ρ–ΠΊΠ°Ρ€ΡΡŒΠΊΠΈΡ… засобів Ρƒ ΠΏΠΎΠ²Ρ–Ρ‚Ρ€Ρ– Ρ€ΠΎΠ±ΠΎΡ‡ΠΎΡ— Π·ΠΎΠ½ΠΈ Ρ„Π°Ρ€ΠΌΠ°Ρ†Π΅Π²Ρ‚ΠΈΡ‡Π½ΠΈΡ… підприємств Ρ” встановлСння ΠΏΠ°Ρ€Π°ΠΌΠ΅Ρ‚Ρ€Ρ–Π² токсичності, Π°Π»Π΅Ρ€Π³Ρ–Ρ‡Π½ΠΎΡ—, Смбріотоксичної, дисбіотичної Π΄Ρ–Ρ—. ΠœΠ΅Ρ‚Π°. ΠžΡ†Ρ–Π½ΠΊΠ° Π²ΠΈΠ΄ΠΎΠ²ΠΎΠ³ΠΎ складу ΠΌΡ–ΠΊΡ€ΠΎΡ„Π»ΠΎΡ€ΠΈ просвіту прямого Π²Ρ–Π΄Π΄Ρ–Π»Ρƒ товстого ΠΊΠΈΡˆΠΊΡ–Π²Π½ΠΈΠΊΠ° Ρƒ Ρ‰ΡƒΡ€Ρ–Π² ΠΏΡ€ΠΈ Π±Π°Π³Π°Ρ‚ΠΎΡ€Π°Π·ΠΎΠ²ΠΎΠΌΡƒ інгаляційному Π²ΠΏΠ»ΠΈΠ²Ρ– нітроксоліну. ΠœΠ°Ρ‚Π΅Ρ€Ρ–Π°Π»ΠΈ Ρ– ΠΌΠ΅Ρ‚ΠΎΠ΄ΠΈ. Дисбіотичну Π΄Ρ–ΡŽ нітроксоліну Π²ΠΈΠ²Ρ‡Π°Π»ΠΈ Π½Π° Ρ‰ΡƒΡ€Π°Ρ…, яких ΡƒΠΏΡ€ΠΎΠ΄ΠΎΠ²ΠΆ 30 Π΄Π½Ρ–Π² ΠΏΡ–Π΄Π΄Π°Π²Π°Π»ΠΈ Π²ΠΏΠ»ΠΈΠ²Ρƒ Π»Ρ–ΠΊΠ°Ρ€ΡΡŒΠΊΠΎΠ³ΠΎ засобу Ρƒ концСнтраціях 5 ΠΌΠ³/ΠΌ3, 15 ΠΌΠ³/ΠΌ3, 45 ΠΌΠ³/ΠΌ3, ΡˆΠ»ΡΡ…ΠΎΠΌ Ρ–Π½Ρ‚Ρ€Π°Π½Π°Π·Π°Π»ΡŒΠ½ΠΎΠ³ΠΎ ввСдСння. Π Π΅Π·ΡƒΠ»ΡŒΡ‚Π°Ρ‚ΠΈ Ρ‚Π° обговорСння. Π”ΠΎΠΌΡ–Π½Π°Π½Ρ‚Π½ΠΈΠΌΠΈ прСдставниками Π½ΠΎΡ€ΠΌΠΎΠ±Ρ–ΠΎΡ‚ΠΈ Ρ„Π΅ΠΊΠ°Π»ΡŒΠ½ΠΎΠ³ΠΎ Π±Ρ–ΠΎΡ‚ΠΎΠΏΡƒ Ρ” Π±Ρ–Ρ„Ρ–Π΄ΠΎΠ±Π°ΠΊΡ‚Π΅Ρ€Ρ–Ρ—, Π»Π°ΠΊΡ‚ΠΎΠ±Π°ΠΊΡ‚Π΅Ρ€Ρ–Ρ—, Π±Π°ΠΊΡ‚Π΅Ρ€Ρ–Ρ— Π³Ρ€ΡƒΠΏΠΈ ΠΊΠΈΡˆΠΊΠΎΠ²ΠΈΡ… ΠΏΠ°Π»ΠΈΡ‡ΠΎΠΊ, Π·ΠΎΠΊΡ€Π΅ΠΌΠ° Π•. coli, Π΅Π½Ρ‚Π΅Ρ€ΠΎΠΊΠΎΠΊΠΈ, стафілококи, які виявляли Ρƒ випороТнСннях 100,0 % Ρ‚Π²Π°Ρ€ΠΈΠ½. Частота зустрічності пСптострСптококів Ρ‚Π° стрСптококів коливалася Π² ΠΌΠ΅ΠΆΠ°Ρ… 33,3 % - 66,7 %, ΠΏΡ€ΠΎΡ‚Π΅ΡŽ – 16,7 % - 50,0 %, Π³Ρ€ΠΈΠ±Ρ–Π² Ρ€ΠΎΠ΄Ρƒ ΠΊΠ°Π½Π΄Ρ–Π΄Π° – 16,7 % - 33,3 % , плісСні – 0% - 16,7 %. ΠŸΡ€ΠΈ концСнтраціях нітроксоліну 5 ΠΌΠ³/ΠΌ3, 15 ΠΌΠ³/ΠΌ3, 45 ΠΌΠ³/ΠΌ3 ΠΏΠΎΠΊΠ°Π·Π½ΠΈΠΊ частоти зустрічності для Π΄ΠΎΠΌΡ–Π½ΡƒΡŽΡ‡ΠΈΡ… Π±Π°ΠΊΡ‚Π΅Ρ€Ρ–Π°Π»ΡŒΠ½ΠΈΡ… популяцій: Π±Ρ–Ρ„Ρ–Π΄ΠΎ-, Π»Π°ΠΊΡ‚ΠΎΠ±Π°ΠΊΡ‚Π΅Ρ€Ρ–ΠΉ, Π‘Π“ΠšΠŸ, Π΅Π½Ρ‚Π΅Ρ€ΠΎΠΊΠΎΠΊΡ–Π² Ρ– стафілококів залишався Π½Π΅Π·ΠΌΡ–Π½Π½ΠΈΠΌ – 100,0 %. Нітроксолін Ρƒ ΠΊΠΎΠ½Ρ†Π΅Π½Ρ‚Ρ€Π°Ρ†Ρ–Ρ— 5 ΠΌΠ³/ΠΌ3 Π½Π΅ Π²ΠΈΠΊΠ»ΠΈΠΊΠ°Π² Π·ΠΌΡ–Π½ Π² структурі ΠΌΡ–ΠΊΡ€ΠΎΠ±Ρ–ΠΎΡ‚ΠΈ ΠΊΠΈΡˆΠΊΡ–Π²Π½ΠΈΠΊΠ°. ΠšΠΎΠ½Ρ†Π΅Π½Ρ‚Ρ€Π°Ρ†Ρ–Ρ— 15 ΠΌΠ³/ΠΌ3, 45 ΠΌΠ³/ΠΌ3 Π²ΠΈΠΊΠ»ΠΈΠΊΠ°Π»ΠΈ зростання частоти виявлСння ΡƒΠΌΠΎΠ²Π½ΠΎ-ΠΏΠ°Ρ‚ΠΎΠ³Π΅Π½Π½ΠΈΡ… ΡˆΡ‚Π°ΠΌΡ–Π² Ρ‚Π° зниТСння пСптострСптококів Ρ– стрСптококів. Наприкінці Π²Ρ–Π΄Π½ΠΎΠ²Π½ΠΎΠ³ΠΎ ΠΏΠ΅Ρ€Ρ–ΠΎΠ΄Ρƒ частота зустрічності ΠΏΡ€ΠΎΡ‚Π΅ΡŽ, Π³Ρ€ΠΈΠ±Ρ–Π² Ρ€ΠΎΠ΄Ρƒ ΠΊΠ°Π½Π΄Ρ–Π΄Π°, плісСнСвих Π³Ρ€ΠΈΠ±Ρ–Π² Ρƒ Ρ„Π΅ΠΊΠ°Π»ΡŒΠ½ΠΎΠΌΡƒ Π±Ρ–ΠΎΡ‚ΠΎΠΏΡ– Ρ‰ΡƒΡ€Ρ–Π² Π΄Ρ€ΡƒΠ³ΠΎΡ— (15 ΠΌΠ³/ΠΌ3) Ρ‚Π° Ρ‚Ρ€Π΅Ρ‚ΡŒΠΎΡ— дослідної Π³Ρ€ΡƒΠΏΠΈ (45 ΠΌΠ³/ΠΌ3) утримувалися Π½Π° Ρ€Ρ–Π²Π½Ρ– ΠΏΠΎΠΊΠ°Π·Π½ΠΈΠΊΡ–Π² 4 тиТня СкспСримСнту. Висновки. Π‘Π°Π³Π°Ρ‚ΠΎΡ€Π°Π·ΠΎΠ²Π° інгаляційна дія нітроксоліну Ρƒ ΠΊΠΎΠ½Ρ†Π΅Π½Ρ‚Ρ€Π°Ρ†Ρ–Ρ— 15 ΠΌΠ³/ΠΌ3 Π²ΠΈΠΊΠ»ΠΈΠΊΠ°Ρ” дисбактСріоз товстого ΠΊΠΈΡˆΠΊΡ–Π²Π½ΠΈΠΊΠ° Ρƒ Ρ‰ΡƒΡ€Ρ–Π², ΠΏΡ€ΠΈ Ρ†ΡŒΠΎΠΌΡƒ концСнтрація сполуки 15ΠΌΠ³/ΠΌ3 Ρ” ΠΏΠΎΡ€ΠΎΠ³ΠΎΠ²ΠΎΡŽ для Ρ†ΡŒΠΎΠ³ΠΎ Π΅Ρ„Π΅ΠΊΡ‚Ρƒ

    Breast Cancer After Treatment of Differentiated Thyroid Cancer With Radioiodine in Young Females: What We Know and How to Investigate Open Questions. Review of the Literature and Results of a Multi-Registry Survey

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    Published studies on the risk of radiation-induced second primary malignancy (SPM) after radioiodine treatment (RAI) of differentiated thyroid cancer (DTC) refer mainly to patients treated as middle-aged or older adults and are not easily generalizable to those treated at a younger age. Here we review available literature on the risk of breast cancer as an SPM after RAI of DTC with a focus on females undergoing such treatment in childhood, adolescence, or young adulthood. Additionally, we report the results of a preliminary international survey of patient registries from academic tertiary referral centers specializing in pediatric DTC. The survey sought to evaluate the availability of sufficient patient data for a potential international multicenter observational case–control study of females with DTC given RAI at an early age. Our literature review identified a bi-directional association of DTC and breast cancer. The general breast cancer risk in adult DTC survivors is low, ~2%, slightly higher in females than in males, but presumably lower, not higher, in those diagnosed as children or adolescents than in those diagnosed at older ages. RAI presumably does not substantially influence breast cancer risk after DTC. However, data from patients given RAI at young ages are sparse and insufficient to make definitive conclusions regarding age dependence of the risk of breast cancer as a SPM after RAI of DTC. The preliminary analysis of data from 10 thyroid cancer registries worldwide, including altogether 6,449 patients given RAI for DTC and 1,116 controls, i.e., patients not given RAI, did not show a significant increase of breast cancer incidence after RAI. However, the numbers of cases and controls were insufficient to draw statistically reliable conclusions, and the proportion of those receiving RAI at the earliest ages was too low.In conclusion, a potential international multicenter study of female patients undergoing RAI of DTC as children, adolescents, or young adults, with a sufficient sample size, is feasible. However, breast cancer screening of a larger cohort of DTC patients is not unproblematic for ethical reasons, due to the likely, at most slightly, increased risk of breast cancer post-RAI and the expected ~10% false-positivity rate which potentially produced substantial β€œmisdiagnosis.

    Outbreak of West Nile virus infection, Volgograd Region, Russia, 1999.

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    From July 25 to October 1, 1999, 826 patients were admitted to Volgograd Region, Russia, hospitals with acute aseptic meningoencephalitis, meningitis, or fever consistent with arboviral infection. Of 84 cases of meningoencephalitis, 40 were fatal. Fourteen brain specimens were positive in reverse transcriptase-polymerase chain reaction assays, confirming the presence of West Nile/Kunjin virus

    Cytokine Gene Polymorphisms in Chronic Adenoiditis

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    The aim of our research was to study the multiphase response in a system of pro-inflammatory and anti-inflammatory cytokines due to the additive contribution of homozygous and heterozygous genotypes for the polymorphic allelic variants of the interleukin-1Ξ² (IL-1Ξ²) and interleukin-4 (IL-4) genes in patients with chronic adenoiditis (CA). Materials and Methods: The study included 388 children with CA. Associations between the IL1B gene (rs1143634) (C+3954T) SNP and the IL-4 gene (rs2243250) (C-589T) SNP and the clinical manifestations and clinical outcome of CA were investigated. Genotyping for the studied SNPs was performed using real-time PCR. The study of genotype-associated cytokine production in accordance with the level of concentration of IL-1Ξ², IL-4 in blood serum with the method of solidphase EIA using horseradish peroxidase as an indicating enzyme was carried out. Results: The presence of homozygous or heterozygous genotypes of the studied SNPs of the IL-1Ξ² and IL-4 genes was characterized with genetically determined cytokine-production forming the phenotypical polymorphism. The conducted research into congenital immunity factors with an assessment of genetically determined cytokine production has revealed 5 options of the cytokine response and their corresponding frequencies. We extrapolated the results on clinical and functional outcomes of chronic adenoiditis, which allowed us to identify non-randomness in the nature of chronic adenoiditis as a multifactorial disease. Conclusion: The obtained data are evidence of the phenotypic-genetic heterogeneity of CA

    ΠžΡΠΎΠ±Π΅Π½Π½ΠΎΡΡ‚ΠΈ совмСстного использования спутниковых Π΄Π°Π½Π½Ρ‹Ρ… Π²ΠΈΠ΄ΠΈΠΌΠΎΠ³ΠΎ Π΄ΠΈΠ°ΠΏΠ°Π·ΠΎΠ½Π° ΠΈ Ρ€Π°Π΄ΠΈΠΎΠ»ΠΎΠΊΠ°Ρ†ΠΈΠΎΠ½Π½Ρ‹Ρ… Π΄Π°Π½Π½Ρ‹Ρ… для ΠΌΠΎΠ½ΠΈΡ‚ΠΎΡ€ΠΈΠ½Π³Π° арктичСских айсбСргов Π½Π° ΠΏΡ€ΠΈΠΌΠ΅Ρ€Π΅ Ρ€Π°ΠΉΠΎΠ½Π° Π—Π΅ΠΌΠ»ΠΈ Π€Ρ€Π°Π½Ρ†Π°-Π˜ΠΎΡΠΈΡ„Π°

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    Given the availability of data, in order to monitor icebergs in the vast Arctic region, it is necessary to ensure an optimal ratio of the satellite radar data cost (with a wide swath and high spatial resolution) and the reliability of the results obtained. The aim of the study was to evaluate the effectiveness of using only non-commercial satellite information for monitoring icebergs. To achieve this goal, an iceberg detection technique was applied based on statistical criteria of searching for gradient zones in analyzing two-dimensional fields of satellite images. As a source of information, we used high spatial resolution satellite data obtained from non – commercial satellites Sentinel-1 (radar data) and Landsat-8 (visible spectral range data) with a pixel size of 40 Γ— 20 and 15 m, respectively.Through comparison with the data of the visible spectral range of ultra-high resolution, the error was estimated of measuring the size of icebergs using the visible range equipment of the Landsat-8 satellite and the radar of the Sentinel-1 satellite. Based on the analysis of satellite data of the visible spectral range and radar data, the spatial dimensions of icebergs formed by the outlet glaciers of Franz Josef Land n 2020–2022 were estimated. The materials were collected for the period August-September, corresponding to the conditions of minimum ice extent in the Franz Josef Land area and sufficient natural illumination for using the data of the visible spectral range in the Arctic. In total, about 100 satellite images were analyzed. The sources of error in the satellite measurements are discussed, as well as the reasons for the impossibility in some cases to identify Franz Josef Land icebergs on radar images. It is shown that the largest contribution to the iceberg runoff of Franz Josef Land is made by outflow glaciers located on Georg Land, Wilczek Land, Gall, Salisbury and Champa islands. According to the results of the study, it is concluded that radar data with a pixel size of 40 m allow one to obtain essentially reliable information on the spatial distribution of icebergs in the water area. However, it is not possible to obtain a reliable function of the distribution of icebergs by size since most of the icebergs in the Franz Josef Land water area have small and medium sizes and are rarely identified in images of such spatial resolution.ΠžΠ±ΡΡƒΠΆΠ΄Π°Π΅Ρ‚ΡΡ ΡΡ„Ρ„Π΅ΠΊΡ‚ΠΈΠ²Π½ΠΎΡΡ‚ΡŒ использования нСкоммСрчСских спутниковых Π΄Π°Π½Π½Ρ‹Ρ…, Π²ΠΈΠ΄ΠΈΠΌΠΎΠ³ΠΎ ΡΠΏΠ΅ΠΊΡ‚Ρ€Π°Π»ΡŒΠ½ΠΎΠ³ΠΎ Π΄ΠΈΠ°ΠΏΠ°Π·ΠΎΠ½Π° ΠΈ Ρ€Π°Π΄ΠΈΠΎΠ»ΠΎΠΊΠ°Ρ†ΠΈΠΎΠ½Π½Ρ‹Ρ…, для ΠΌΠΎΠ½ΠΈΡ‚ΠΎΡ€ΠΈΠ½Π³Π° айсбСргов Π² Ρ€Π°ΠΉΠΎΠ½Π΅ Π°Ρ€Ρ…ΠΈΠΏΠ΅Π»Π°Π³Π° ЗСмля Π€Ρ€Π°Π½Ρ†Π°-Π˜ΠΎΡΠΈΡ„Π°. ΠŸΡƒΡ‚Π΅ΠΌ сравнСния с Π΄Π°Π½Π½Ρ‹ΠΌΠΈ Π²ΠΈΠ΄ΠΈΠΌΠΎΠ³ΠΎ Π΄ΠΈΠ°ΠΏΠ°Π·ΠΎΠ½Π° свСрхвысокого Ρ€Π°Π·Ρ€Π΅ΡˆΠ΅Π½ΠΈΡ ΠΎΡ†Π΅Π½Π΅Π½Π° ΠΏΠΎΠ³Ρ€Π΅ΡˆΠ½ΠΎΡΡ‚ΡŒ измСрСния Ρ€Π°Π·ΠΌΠ΅Ρ€ΠΎΠ² айсбСргов ΠΏΠΎ Π΄Π°Π½Π½Ρ‹ΠΌ Π²ΠΈΠ΄ΠΈΠΌΠΎΠ³ΠΎ Π΄ΠΈΠ°ΠΏΠ°Π·ΠΎΠ½Π° Π˜Π‘Π— Landsat-8 ΠΈ спутникового Ρ€Π°Π΄ΠΈΠΎΠ»ΠΎΠΊΠ°Ρ‚ΠΎΡ€Π° Sentinel-1. УстановлСна Π·Π°Π²ΠΈΡΠΈΠΌΠΎΡΡ‚ΡŒ способности спутникового Ρ€Π°Π΄ΠΈΠΎΠ»ΠΎΠΊΠ°Ρ‚ΠΎΡ€Π° ΠΎΠ±Π½Π°Ρ€ΡƒΠΆΠΈΠ²Π°Ρ‚ΡŒ айсбСрги Π² ΠΏΡ€ΠΈΠ±Ρ€Π΅ΠΆΠ½ΠΎΠΉ Π·ΠΎΠ½Π΅ ΠΎΡ‚ ΡƒΠ³Π»Π° Π½Π°ΠΊΠ»ΠΎΠ½Π° Π»ΡƒΡ‡Π°. Π‘Π΄Π΅Π»Π°Π½ Π²Ρ‹Π²ΠΎΠ΄, Ρ‡Ρ‚ΠΎ Ρ€Π°Π΄ΠΈΠΎΠ»ΠΎΠΊΠ°Ρ†ΠΈΠΎΠ½Π½Ρ‹Π΅ Π΄Π°Π½Π½Ρ‹Π΅ с Ρ€Π°Π·ΠΌΠ΅Ρ€ΠΎΠΌ пиксСля 40 ΠΌ ΠΏΠΎΠ·Π²ΠΎΠ»ΡΡŽΡ‚ ΠΏΠΎΠ»ΡƒΡ‡ΠΈΡ‚ΡŒ прСдставлСниС ΠΎ закономСрностях пространствСнного распрСдСлСния айсбСргов ΠΏΠΎ Π°ΠΊΠ²Π°Ρ‚ΠΎΡ€ΠΈΠΈ, Π½ΠΎ ΠΏΠΎΡΡ‚Ρ€ΠΎΠΈΡ‚ΡŒ Π΄ΠΎΡΡ‚ΠΎΠ²Π΅Ρ€Π½ΡƒΡŽ Ρ„ΡƒΠ½ΠΊΡ†ΠΈΡŽ распрСдСлСния айсбСргов ΠΏΠΎ Ρ€Π°Π·ΠΌΠ΅Ρ€Π°ΠΌ Π½Π΅ удаСтся
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