The Professional Culture of Science Journalist

The article discusses features of professional culture of science journalist. The author emphasizes three essential elements of culture of science journalist. There are professional self-reflection, writing skills and educational background. In this article the author examines the key issue of the science education reporter: how relevant is the need to have research experience for science journalist.В статье обсуждается проблема профессиональной культуры научного журналиста. Автор выделяет три основные элемента профессиональной культуры научного журналиста: профессиональная саморефлексия, журналистское мастерство и качественное образование. В рамках данной статьи автор рассматривает ключевой вопрос образования научно-популярного журналиста: насколько актуальна необходимость иметь опыт научной работы для научного журналиста

Forming the motivation to live a healthy lifestyle

Формирование среди населения здорового образа жизни (ЗОЖ) складывается из периодической оценки результатов комплекса мероприятий, проводимого в целевых группах. Оценивание проводится с помощью анкетирования населения, а также статистической обработки его результатов

Human capital as a factor in improving the competitiveness of the region

© Medwell Journals, 2016.The study deals with the condition and special aspects in the development of human capital in the region by the example of the Republic of Tatarstan. In the context of globalization, advancement of communication systems and methods for the generation of new technologies, one of the important factors in business success is not just a high level of professional staffskills and their corresponding level of real capital but also the formation of abilities by an employee to adapt quickly to the high turbulence of the modern business environment. Therefore, investments in the development of the entire set of conditions providing a high level of accumulation for quantitative and qualitative characteristics of human capital are the most significant among the priorities of state and non-state expenditures

Comparative evaluation of therapy results in mild acne

Introduction. Mild acne is the most underestimated form of the disease.The aim of the study was to compare the results of external combination therapy with 15% azelaic acid gel + 1% clindamycin gel and benzoyl peroxide + clindamycin for mild papulopustular acne.Material and methods. An open comparative prospective observational study in parallel groups (12 weeks) included 96 people, 65 patients with mild papulo-pustular acne and a control group of 30 healthy individuals. Group I received 15% azelaic acid gel +1% clindamycin gel, group II – benzoyl peroxide gel + clindamycin. The number of acne elements, morphofunctional indicators of the facial skin, side effects were recorded.Results. As a result of treatment, the indicators of sebumetry significantly decreased: in group I in the T-zone 47.5 ± 11.3 units (p = 0.043) and in the U-zone 57.5 ± 6.3 units (p = 0.037), and in group II in the T-zone 37.1 ± 5.8 units (p = 0.015) and in the U-zone 48.7 ± 5.6 units (p = 0.027). The pore sizes decreased significantly: in group I in the T-zone 0.052 ± 0.010 mm (p = 0.046) and in the U-zone 0.054 ± 0.009 mm (p = 0.049), and in group II in the T-zone 0.039 ± 0.011 mm (p = 0.064) and in the U-zone 0.047 ± 0.013 mm (p = 0.041). In patients in group I, pigmentation indicators in the T-zone of 17.0 ± 2.8 units (p < 0.001) and the U-zone of 17.0 ± 2.8 units (p = 0.048) were normalized. In patients in both groups, there was a significant (p >< 0.05) decrease in the number of papulopustules.>˂ 0.001) and the U-zone of 17.0 ± 2.8 units (p = 0.048) were normalized. In patients in both groups, there was a significant (p ˂ 0.05) decrease in the number of papulopustules.Conclusion. When comparing the results of therapy with 15% azelaic acid gel + 1% clindamycin gel and benzoyl peroxide + adapalene for mild papulopustular acne, comparable efficacy and safety were revealed

The Influence of Jargon on Modern Russian Language

Nowadays a considerable number of people are disturbed of the modern Russian speech. Slang words have pros and cons. That’s why in this article we consider jargons, their aspects and the description of the functioning of jargon in the student environment. We always must remember that our language is our wealth.В последние годы мы, к сожалению, отдалились от красоты слова, от культуры языка. С каждым годом устная и письменная речь стилистически снижается и огрубляется. Русский язык нуждается в защите и бережном отношении. Данная работа посвящена жаргонизмам и выявлению их влияния на состояние русского языка. Потому, как жаргонизмы представляют собой пласт отрицательного влияния на язык. Они засоряют нашу речь, замещая литературные выражения и, являются причиной скудного словарного запаса. Под влиянием жаргонизмов расшатываются языковые нормы, разрушается единство и целостность литературного языка. Именно поэтому мы в данной работе обратились к проблеме чистоты русского языка среди студентов на современном этапе развития нашего общества

Prediction of the progression of diabetic retinopathy based on hemodynamic data

Background. Diabetic retinopathy (DR) is a vascular complication of diabetes, leading to vision loss and blindness in people of any age. This highlights the need for monitoring and predicting the course of DR to start early timely treatment and to prevent progression to the proliferative stages of the disease. Purpose. To study the features of ocular hemodynamics and develop the progression risk index for DR. Material and Methods. One hundred and sixty-five patients with non-proliferative diabetic retinopathy (NPDR) were randomly allocated to receive traditional treatment (control group), daily tablets of Tanakan (TT group), or daily endonasal electrophoresis of Tanakan (TE group) within ten days. The stages of DR were determined using the severity scale of the Early Treatment Diabetic Retinopathy Study (ETDRS). The main outcome measures were changes in DR severity (DRS), Doppler ultrasound imaging at months 1, 3, and 6. Results. Moderate negative correlations were found between peak systolic velocity (PSV) of the central retinal artery (CRA) and DRS, end-diastolic velocity (EDV) of CRA and DRS, PSV of central retinal vein (CRV) and DRS, PSV of the short posterior ciliary artery (SPCA) and DRS. Developed diabetic retinopathy progression risk index (DRPRI) was less than 1,0 in the TE group that enabled us to predict DR stability or improvement. Conclusions. This validation study demonstrated that PSV and DRS are correlated, and PSV can be used to diagnose the stages of DR. Developed DRPRI can be used to assess the effectiveness of treatment and to predict DR, which is essential for determining further patient management tactics

Research of the vitamin composition of medicinal herbs in the development of immunostimulating confectionery products

This article reflects the results of a study of the content of vitamins, polyphenols, antioxidants in medicinal raw materials of local origin (licorice root, St. rose hips, flax seeds) in order to study their beneficial properties as a component for marmalade products that have an immunostimulating effect. According to laboratory studies, the largest amount of polyphenols is found in the leaves of sea buckthorn and St. John's wort (60.02% and 12.82%, respectively), antioxidants (3.61 mg / 100 g and 2.49 mg / 100 g) and most of the B vitamins (В₂ in sea buckthorn leaves 0.777 mg / 100 g, and in St. John's wort 0.088 mg / 100 g, В₅ - 1.506 mg / 100 g and 0.061 mg / 100 g, respectively, В₆ - 0.680 mg / 100 g in sea buckthorn leaves and 0.427 mg / 100 g in St. John's wort). A high content of vitamin C was found in rose hips (4.355 mg / 100g) and St. John's wort (4.314 mg / 100g). In the leaves of sea buckthorn, the content of ascorbic acid is 1.409 mg / 100 g, which is 67% less compared to St. John's wort. In this regard, it follows that the most promising raw materials for imparting an immunostimulating effect to marmalade confectionery products are sea buckthorn leaves and St. John's wort

Predicting protein functions by relaxation labelling protein interaction network

<p>Abstract</p> <p>Background</p> <p>One of key issues in the post-genomic era is to assign functions to uncharacterized proteins. Since proteins seldom act alone; rather, they must interact with other biomolecular units to execute their functions. Thus, the functions of unknown proteins may be discovered through studying their interactions with proteins having known functions. Although many approaches have been developed for this purpose, one of main limitations in most of these methods is that the dependence among functional terms has not been taken into account.</p> <p>Results</p> <p>We developed a new network-based protein function prediction method which combines the likelihood scores of local classifiers with a relaxation labelling technique. The framework can incorporate the inter-relationship among functional labels into the function prediction procedure and allow us to efficiently discover relevant non-local dependence. We evaluated the performance of the new method with one other representative network-based function prediction method using E. coli protein functional association networks.</p> <p>Conclusion</p> <p>Our results showed that the new method has better prediction performance than the previous method. The better predictive power of our method gives new insights about the importance of the dependence between functional terms in protein functional prediction.</p

Predicting multiplex subcellular localization of proteins using protein-protein interaction network: a comparative study

<p>Abstract</p> <p>Background</p> <p>Proteins that interact in vivo tend to reside within the same or "adjacent" subcellular compartments. This observation provides opportunities to reveal protein subcellular localization in the context of the protein-protein interaction (PPI) network. However, so far, only a few efforts based on heuristic rules have been made in this regard.</p> <p>Results</p> <p>We systematically and quantitatively validate the hypothesis that proteins physically interacting with each other probably share at least one common subcellular localization. With the result, for the first time, four graph-based semi-supervised learning algorithms, Majority, <it>χ</it>²-score, GenMultiCut and FunFlow originally proposed for protein function prediction, are introduced to assign "multiplex localization" to proteins. We analyze these approaches by performing a large-scale cross validation on a <it>Saccharomyces cerevisiae </it>proteome compiled from BioGRID and comparing their predictions for 22 protein subcellular localizations. Furthermore, we build an ensemble classifier to associate 529 unlabeled and 137 ambiguously-annotated proteins with subcellular localizations, most of which have been verified in the previous experimental studies.</p> <p>Conclusions</p> <p>Physical interaction of proteins has actually provided an essential clue for their co-localization. Compared to the local approaches, the global algorithms consistently achieve a superior performance.</p