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Morphological Characteristics of Thymus in the Newborns in Different Climatic and Geographical Conditions of Kyrgyzstan
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作者 Tamara Abaeva Zhanibek Muratov +9 位作者 Rustam Tukhvatshin Zhypargul Abdullaeva Aziza Seitova Veronika Tursunova Mira Zhanganaeva Masalbek Satybaldiev Lazokatkhan Dzhumaeva Meerim Abdyraimova Feruza Mamasadykova Aiperi Alimbekova 《International Journal of Medical Physics, Clinical Engineering and Radiation Oncology》 2020年第4期178-185,共8页
This paper is describing a detailed study of morphological structures and characteristics newborns thymus in different climatic and geographical conditions of Kara-Balta, Cholpon-Ata, and Bishkek in Kyrgyzstan. Anatom... This paper is describing a detailed study of morphological structures and characteristics newborns thymus in different climatic and geographical conditions of Kara-Balta, Cholpon-Ata, and Bishkek in Kyrgyzstan. Anatomical structure research done on 26 thymuses of newborn corpses. Research results showed that a significant amount of thymuses consisted of lobes with very thin connective tissues between them. It is observed that the Hassall cells were usually located in the medulla part of the thymus after using the coloring by Van-Gieson’s stain visible clear elastic and collagen fibers. In addition, cell population dynamics in a unit of conditional area of cortical substance thymus lobes in newborns determined. 展开更多
关键词 THYMUS NEWBORNS Hassall Cells Climatic Conditions Histological Methods
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Somatotypological Features of the Skin Fat Fold Thickness in Ethnic Kyrgyz Women
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作者 Kyialbek Sakibaev Kanykei Zhanybek Kyzy +7 位作者 Nazgul Tashmatova Svetlana Klochkova Ibragim Atabaev Dmitrii Nikityuk Zhypargul Abdullaeva Lazokatkhan Dzhumaeva Nataliya Alexeeva Ishenbek Satylganov 《Forensic Medicine and Anatomy Research》 2021年第1期1-9,共9页
The purpose of this study was to determine the thickness of skin and fat folds in Kyrgyz women of various ages, taking into account their somatotypological profile. Using the method of complex anthropometry, including... The purpose of this study was to determine the thickness of skin and fat folds in Kyrgyz women of various ages, taking into account their somatotypological profile. Using the method of complex anthropometry, including the determination of the values of 21 anthropometric parameters, the physical status of 1028 Kyrgyz women of different age groups was studied youth (16 - 20 years old 310 girls), mature age (1st period, 21 - 35 years old 308 women;2nd period, 36 - 55 years 410 women) living in Osh, Kyrgyzstan. For somatotyping, we used the scheme of constitutional diagnostics. Seven somatotypes distinguished within three constitutional groups. The subcutaneous fat was measured by caliperometry. Statistical processing carried out using the statistical programs Microsoft Excel and the STATISTICA package (v. 6.0). To determine the reliability of the differences between the indicators, the Student’s test was used (p < 0.05). The results demonstrate that within each somatotype there are broad changes in the studied anthropometric indicator. Thus, the thickness of the skin and fat folds is the smallest in women of asthenic, athletic and stenoplastic (p < 0.05), and the largest in representatives of the euriplastic and pycnic somatotypes (p < 0.05). Thus, indicators of physical status in adolescence and adulthood in women have a pronounced somatotypological specificity. These materials on the physical development and constitutional and typological characteristics of the studied population of women applicable for a personalized approach in the context of a relative norm. 展开更多
关键词 Somatotypological Features Fat Fold SKIN Thickness ANTHROPOMETRIC Indicators
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Deep Neural Network for Detecting Fake Profiles in Social Networks
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作者 Daniyal Amankeldin Lyailya Kurmangaziyeva +3 位作者 Ayman Mailybayeva Natalya Glazyrina Ainur Zhumadillayeva Nurzhamal Karasheva 《Computer Systems Science & Engineering》 SCIE EI 2023年第10期1091-1108,共18页
This paper proposes a deep neural network(DNN)approach for detecting fake profiles in social networks.The DNN model is trained on a large dataset of real and fake profiles and is designed to learn complex features and... This paper proposes a deep neural network(DNN)approach for detecting fake profiles in social networks.The DNN model is trained on a large dataset of real and fake profiles and is designed to learn complex features and patterns that distinguish between the two types of profiles.In addition,the present research aims to determine the minimum set of profile data required for recognizing fake profiles on Facebook and propose the deep convolutional neural network method for fake accounts detection on social networks,which has been developed using 16 features based on content-based and profilebased features.The results demonstrated that the proposed method could detect fake profiles with an accuracy of 99.4%,equivalent to the achieved findings based on bigger data sets and more extensive profile information.The results were obtained with the minimum available profile data.In addition,in comparison with the other methods that use the same amount and kind of data,the proposed deep neural network gives an increase in accuracy of roughly 14%.The proposed model outperforms existing methods,achieving high accuracy and F1 score in identifying fake profiles.The associated findings indicate that the proposed model attained an average accuracy of 99%while considering two distinct scenarios:one with a single theme and another with a miscellaneous one.The results demonstrate the potential of DNNs in addressing the challenging problem of detecting fake profiles,which has significant implications for maintaining the authenticity and trustworthiness of online social networks. 展开更多
关键词 Fake profiles social networks deep learning CNN CLASSIFICATION
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Radiation and Differential Diagnosis of Computed Tomography (CT) Data for Coronavirus Infection “COVID-19” with Clinical Examples
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作者 Uulzhan Shermatova Elnura Boronbaeva +5 位作者 Meerim Murzaibragimova Kaldykul Dushimbekova Fazliddin Muidinov Kyialbek Sakibaev Bektursun Avazbekov Zhypargul Abdullaeva 《Advances in Infectious Diseases》 2021年第4期366-374,共9页
This article is presenting data from a retrospective analysis of medical records and computed tomography (CT) scans of patients’ chests with coronavirus infection “COVID-19” who applied to the diagnostic center of ... This article is presenting data from a retrospective analysis of medical records and computed tomography (CT) scans of patients’ chests with coronavirus infection “COVID-19” who applied to the diagnostic center of URFA in Osh during the first wave of the pandemic in the Kyrgyz Republic, with a description of individual clinical cases and their differential diagnosis. Chest computed tomography is one of the main methods in visual diagnosis of pneumonia in COVID-19 in hospitalized patients, which allows determining signs, symptoms for effective treatment. 展开更多
关键词 COVID-19 Coronavirus PNEUMONIA Computed Tomography Radiation and Differential Diagnosis of Pneumonia in COVID-19 Ground Glass Opacity Clinical Cases Brain Damage
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Coordination Polymer of Cobalt (ΙΙ) Nitrate with Imidazole: Synthesis, Properties and Crystal Structure
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作者 Elmira Alamanova Nasira Shyytyeva +3 位作者 Zhyldyz Berdalievа Nurzat Abdyldaeva Astra Duishonbaeva Zhypargul Abdullaeva 《Journal of Crystallization Process and Technology》 2021年第1期1-9,共9页
Layered metal-organic polymer [Co(L)6](NO3)2 was obtained (where, L = C3H4N2) and structurally characterized by X-Ray diffraction (XRD) analysis. Crystals have trigonal structure: a = b = 12.3555(10) Ǻ, c = 14.4833(3)... Layered metal-organic polymer [Co(L)6](NO3)2 was obtained (where, L = C3H4N2) and structurally characterized by X-Ray diffraction (XRD) analysis. Crystals have trigonal structure: a = b = 12.3555(10) Ǻ, c = 14.4833(3) Ǻ;α = β = 90˚;γ = 120˚;V = 1914.78(5) Ǻ;R3, Z = 3. The structure of the complex consists of discrete [Co(L)6]2+ cations and anions. The Co2+ ion has a centrosymmetric octahedron configuration with a coordination site—CoN6. The ligand is coordinated monodentate through the pyridine nitrogen atom (N3) to the Co2+ ion with an average Co-N bond distance of 2.1590 Ǻ. Molecules in the coordination polymer are additionally linked by intermolecular hydrogen bonds through the pyrrole nitrogen atom (-N-H) and oxygen of the nitrate group with the formation of a polymer chain of the type: N-H…O. The chains are linked in layers along the (001) plane. 展开更多
关键词 Metal-Organic Polymer Crystal Structure COORDINATION Cobalt Nitrate IMIDAZOLE
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Frequency of C825T G protein β3 subunit gene polymorphism and its association with obesity in the Kyrgyz population
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作者 MIRRAKHIMOV ERKIN LUNEGOVA OLGA +7 位作者 MIRRAKHIMOV AIBEK KERIMKULOVA ALINA STAROV NURDIN ZALESSKAYA YULIYA ABILOVA SAAMAI NABIEV MALIK ALIBAEVA NAZIRA ALDASHEV ALMAZ 《Family Medicine and Community Health》 2013年第1期23-29,共7页
Objective:To examine the frequency of C825T G protein β3 subunit gene polymorphism and its association with obesity of ethnic Kyrgyz.Methods:The study enrolled 210 people,89 patients(35 females,54 males)with obesity(... Objective:To examine the frequency of C825T G protein β3 subunit gene polymorphism and its association with obesity of ethnic Kyrgyz.Methods:The study enrolled 210 people,89 patients(35 females,54 males)with obesity(BMI≥30 kg/m2)and 121 practically healthy patients(38 females,83 males)with normal body weight and no signs of type 2 diabetes(group of control),who were not observed before by a cardiologist.The blood pressure,anthropometry,glucose and lipid profile were examined among all subjects.Genomic DNA was extracted from peripheral blood cells.G proteinβ3 subunit C825T polymorphism was determined by polymerase chain reaction(PCR).Results:TT and CT genotypes carriers were grouped together in one group because the TT genotype was rare.CT+TT genotype frequency in the group with obesity made 0.72 and was significantly higher than that in the control group-0.52(χ2-8.44;P=0.004;odds ratio-2.55;95%CI 1.31-4.23).The statistical analysis revealed that hypertension(45%vs.31.3%,P=0.049)and obesity(51.2%vs.30%,P<0.01)occurred significantly more often in CT+TT genotype carriers than in the CC homozygotes.The results of the multivariate logistic regression analysis showed that the presence of 825T allele(exp β-2.89;95%CI 1.25-6.7;P=0.013),along with the occasional consumption of vegetables(exp β-3.47;95%CI 1.52-7.94;P=0.003)was the significant risk factor for obesity,regardless of gender,age and level of physical activity.In the construction of the similar regression model for hypertension,the statistically significant role of 825T allele was lost after adjustment for obesity as an independent variable.Conclusion:G protein β3 subunit gene C825T allele in the Kyrgyz ethnic group has an association with obesity. 展开更多
关键词 G proteinβ3 subunit C825T polymorphism OBESITY HYPERTENSION
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