Historical Retrospective Review of Idea of University: Complementarily of Reason and Spirituality

Background: In the paper the Idea of the University and its transformations throughout the history are analysed. The content of the Idea of the University was based on understanding of spirituality when the man is upcoming to enlightening. Religion, philosophy, and education get together, when spirituality is defined as the categories and personal characteristics of a human. According to philosophy, spirituality is a non-physical way of a human being, which was granted to him as the ability of self-education. Religion understands spirituality as invariant of enlightening. The scientific-methodical apparatus of education was created to realize the potential ways for raising a person to enlightening in secular or religious schools. The spiritual aura was constantly presented at the University. Methods: A general philosophical approach and comparative historical method were used in the research. Results: Understanding the role of spirituality in the University education was absolutely manifested. The University was based on the idea of going up from individual towards the Universal Truth and Absolute Spirit. Knowledge and Truth are ideological categories of the University. Truth contained the spirituality and rational knowledge in the unity. Conclusions: The University has not lost its Idea throughout the history. The basic conclusion of the paper is that its Idea as well as its essence is the change of its criteria in response to the new historical reality

LiGaSe2 optical parametric oscillator pumped by a Q-switched Nd:YAG laser

Optical parametric oscillation is demonstrated for the first time with the chalcogenide nonlinear crystal LiGaSe2 pumped by a nanosecond Nd:YAG laser. Angle tuning provides coverage of the 4.8–9.9 μm spectral range in the mid-IR by idler pulses

Molecular epidemiology of serogroup a meningitis in Moscow, 1969 to 1997.

Molecular analysis of 103 serogroup A Neisseria meningitidis strains isolated in Moscow from 1969 to 1997 showed that four independent clonal groupings were responsible for successive waves of meningococcal disease. An epidemic from 1969 to the mid-1970s was caused by genocloud 2 of subgroup III, possibly imported from China. Subsequent endemic disease through the early 1990s was caused by subgroup X and then by subgroup VI, which has also caused endemic disease elsewhere in eastern Europe. A 1996 epidemic was part of the pandemic spread from Asia of genocloud 8 of subgroup III. Recent genocloud 8 epidemic disease in Moscow may represent an early warning for spread of these bacteria to other countries in Europe

Особливості архітектурної побудови систем формування тривимірних зображень

У сучасних умовах комп’ютерна графіка стрімко розвивається, оскільки забезпечує високий рівень інформативності, відтворює найвагоміші аспекти процесу або явища. Найбільшу реалістичність забезпечує тривимірна графіка, основана на роботі з просторовими моделями об’єктів, що обумовлює її широке використання в багатьох галузях, пов’язаних з комп’ютерним моделюванням та проектуванням

Modeling and forecasting the quality of life of pregnant women for their medical-social characteristics

The purpose of the work - to develop statistical models to predict changes in quality of life of pregnant women on their health and social characteristics. With the help of the international program Medical Outcomes Study Short Form (SF-36) evaluated the quality of life of 451 pregnant women in antenatal clinics observed Voronezh. The analysis proved the impact of medico-social characteristics on the quality of life of pregnant women. Developed statistical models that can predict changes in quality of life of pregnant women on their health and social characteristics, which makes it possible to raise its level by influencing the health and social characteristics. Thus, expanding the range of individual and group medical and social, medical and institutional programs aimed at improving the quality of life of the populations and reduce complications of pregnancy and childbirth.Цель работы - разработать статистические модели, позволяющие прогнозировать изменение уровня качества жизни беременных женщин по их медико-социальным характеристикам. С помощью международной программы Medical Outcomes Study Short Form (SF-36) проведена оценка качества жизни 451 беременной женщины, наблюдающейся в женских консультациях г. Воронежа. Проведен анализ и доказано влияние медико-социальных характеристик на качество жизни беременных женщин. Разработаны статистические модели, которые позволяют прогнозировать изменение уровня качества жизни беременных женщин по их медико-социальным характеристикам, что дает возможность повышать его уровень путем воздействия на медико-социальные характеристики. Таким образом, расширяется диапазон индивидуальных и групповых медико-социальных и медико-организационных программ, направленных на повышение качества жизни данного контингента населения и снижение уровня осложнений беременности и родов

Tropomodulin’s Actin-Binding Abilities Are Required to Modulate Dendrite Development

There are many unanswered questions about the roles of the actin pointed end capping and actin nucleation by tropomodulins (Tmod) in regulating neural morphology. Previous studies indicate that Tmod1 and Tmod2 regulate morphology of the dendritic arbor and spines. Tmod3, which is expressed in the brain, had only a minor influence on morphology. Although these studies established a defined role of Tmod in regulating dendritic and synaptic morphology, the mechanisms by which Tmods exert these effects are unknown. Here, we overexpressed a series of mutated forms of Tmod1 and Tmod2 with disrupted actin-binding sites in hippocampal neurons and found that Tmod1 and Tmod2 require both of their actin-binding sites to regulate dendritic morphology and dendritic spine shape. Proximity ligation assays (PLAs) indicate that these mutations impact the interaction of Tmod1 and Tmod2 with tropomyosins Tpm3.1 and Tpm3.2. This impact on Tmod/Tpm interaction may contribute to the morphological changes observed. Finally, we use molecular dynamics simulations (MDS) to characterize the structural changes, caused by mutations in the C-terminal helix of the leucine-rich repeat (LRR) domain of Tmod1 and Tmod2 alone and when bound onto actin monomers. Our results expand our understanding of how neurons utilize the different Tmod isoforms in development

Leiomodin-3 dysfunction results in thin filament disorganization and nemaline myopathy

Peer reviewe

Identification of Single- and Multiple-Class Specific Signature Genes from Gene Expression Profiles by Group Marker Index

Informative genes from microarray data can be used to construct prediction model and investigate biological mechanisms. Differentially expressed genes, the main targets of most gene selection methods, can be classified as single- and multiple-class specific signature genes. Here, we present a novel gene selection algorithm based on a Group Marker Index (GMI), which is intuitive, of low-computational complexity, and efficient in identification of both types of genes. Most gene selection methods identify only single-class specific signature genes and cannot identify multiple-class specific signature genes easily. Our algorithm can detect de novo certain conditions of multiple-class specificity of a gene and makes use of a novel non-parametric indicator to assess the discrimination ability between classes. Our method is effective even when the sample size is small as well as when the class sizes are significantly different. To compare the effectiveness and robustness we formulate an intuitive template-based method and use four well-known datasets. We demonstrate that our algorithm outperforms the template-based method in difficult cases with unbalanced distribution. Moreover, the multiple-class specific genes are good biomarkers and play important roles in biological pathways. Our literature survey supports that the proposed method identifies unique multiple-class specific marker genes (not reported earlier to be related to cancer) in the Central Nervous System data. It also discovers unique biomarkers indicating the intrinsic difference between subtypes of lung cancer. We also associate the pathway information with the multiple-class specific signature genes and cross-reference to published studies. We find that the identified genes participate in the pathways directly involved in cancer development in leukemia data. Our method gives a promising way to find genes that can involve in pathways of multiple diseases and hence opens up the possibility of using an existing drug on other diseases as well as designing a single drug for multiple diseases