878 research outputs found

    ОБРАЗЪТ НА МЪЖА И ЖЕНАТА В ПОЛСКИТЕ И БЪЛГАРСКИТЕ ПАРЕМИИ

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    The paper presents the linguistic image of men and women, based on Polish and Bulgarian proverbs. Proverbs build a specific image of gender relations as they often depict traditional family and social roles. This image is often reflected in contemporary anecdotes depicting various contexts of modernity. The paper’s main conclusion is that proverbs in both cultures are dominated by androcentrism.The paper presents the linguistic image of men and women, based on Polish and Bulgarian proverbs. Proverbs build a specific image of gender relations as they often depict traditional family and social roles. This image is often reflected in contemporary anecdotes depicting various contexts of modernity. The paper’s main conclusion is that proverbs in both cultures are dominated by androcentrism

    Optimization of diarylazines as anti-HIV agents with dramatically

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    Non-nucleoside inhibitors of HIV-1 reverse transcriptase are reported that have ca. 100-fold greater solubility than the structurally related drugs etravirine and rilpivirine, while retaining high anti-viral activity. The solubility enhancements come from strategic placement of a morpholinylalkoxy substituent in the entrance channel of the NNRTI binding site. Compound 4d shows low-nanomolar activity similar to etravirine towards wild-type HIV-1 and key viral variants.Fil: Bollini, Mariela. University of Yale; Estados Unidos. Consejo Nacional de Investigaciones Científicas y Técnicas; ArgentinaFil: Cisneros, José A.. University of Yale; Estados UnidosFil: Spasov, Krasimir A.. University of Yale; Estados UnidosFil: Anderson, Karen S.. University of Yale; Estados UnidosFil: Jorgensen, William L.. University of Yale; Estados Unido

    Методологические аспекты понятия инновационности в современных условиях развития постиндустриального производства

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    В статье анализируются особенности постиндустриального производства, особенности современного развития социально-экономических систем, обосновывается необходимость поиска более совершенных подходов к процессу управления развитием, анализируется необходимость изучения особенности инновационности как элемента понятийного аппарата системы инновационного развития с точки зрения материалистической диалектики современной волновой теории развития и значение в этом процессе новообразования.The article analyzes the peculiarities of post-industrial production, the features of modern development of socio-economic systems, the necessity for a claim of more sophisticated approaches to the process of development management, analyzes the necessity of studying the characteristics of innovation as an element of the conceptual apparatus of the system of innovative development from the point of view of the materialist dialectic of modern wave theory of development and the importance in this process neoplasm

    INHIBITOR BIOSENSOR SYSTEMS IN DYNAMIC MODE

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    The biosensor amperometric transducers can work in the case of three basic types of reversible inhibitor enzyme systems – with competitive inhibition, with non-competitive inhibition and mixed inhibition. Tipicaly they work in static mode. Now they are investigated in dynamic mode. In the paper are investigated the influence of starting concentration of inhibitor over output current of the biosensor with three type inhibition enzyme kinetic in dynamic mode. Those kinetic is generally discussed in terms of a simple extension to the Michaelis-Menten reaction scheme. The biosensor is amperometric product sensitive. Solving system of non-linear partial differential equations is reseived in three dimensional size and the concentration profiles of substrate S(x,t), inhibitor I(x,t) and product P(x,t) are reseived. The models are described in non stationary diffusion conditions. The systems of non-linear differential partial equations are solved numerically in MATLAB medium. In the 3D vision are given reagents concentration changing in the active membrane

    Minimally invasive methods for the treatment of varicose veins of the lower extremities. Overview of the existing modern methods

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    Abstract  In recent years, minimally invasive methods for the treatment of varicose veins have been established as the first method of choice because of their advantages and high success rates. The most widely applied are endovenous thermal ablation (EVTA) – laser, radiofrequency and microwave; mechano-chemical ablation (MOCA), cyanoacrylate embolization (CAE), sclerotherapy and ambulatory microphlebectomy. With EVTA, a thermal effect on the wall of the affected vein is achieved through an endovenous catheter, leading to fibrosis and obliteration. EVTA is conducted under tumescent anesthesia. MOCA and CAC are nonthermal, nontumescent methods for obliteration of insufficient and varicose veins. MOCA combines chemical with mechanical damage to the intima of a venous vessel. CAC is a method consisting in the application of cyanoacrylate glue into the lumen of the affected vein, causing total obliteration. Sclerotherapy represents the chemical ablation of varicose veins by injecting a sclerosing agent into the vein. Ambulatory microphlebectomy is performed through microincisions with specially designed hooks and mosquito-clamps under local anesthesia and does not require skin sutures. In aesthetic phlebology a combined method is used to treat reticular veins and telangiectasia – CLaCS (Cryo-Laser & Cryo-Sclerotherapy), which includes transdermal laser and sclerotherapy with dextrose, as well as cooling. In European and US recommendations for the treatment of chronic venous disease EVTA is indicated as the first choice in the treatment of VV. Sclerotherapy and ambulatory microphlebectomy are used to eliminate residual and recurrent varicose veins and in cases of absence of axial reflux. MOCA and CAC are the second choice methods.   In recent years, minimally invasive methods for the treatment of varicose veins (VVs) have been established as the first method of choice because of their advantages and high success rates. The most widely applied ones are endovenous thermal ablation (EVTA)—laser, radiofrequency, and microwave; mechanochemical ablation (MOCA); cyanoacrylate embolization (CAE); sclerotherapy, and ambulatory micro phlebectomy. With EVTA, a thermal effect on the wall of the affected vein is achieved through an endovenous catheter, leading to fibrosis and obliteration. EVTA is conducted under tumescent anesthesia. MOCA and CAE are nonthermal, nontumescent methods for obliteration of insufficient and varicose veins. MOCA combines chemical with mechanical damage to the intima of a venous vessel. CAC is a method consisting of the application of cyanoacrylate glue into the lumen of the affected vein, causing total obliteration. Sclerotherapy represents the chemical ablation of varicose veins by injecting a sclerosing agent into the vein. Ambulatory micro phlebectomy is performed through microincisions with specially designed hooks and mosquito-clamps under local anesthesia and does not require skin sutures. In aesthetic phlebology a combined method is used to treat reticular veins and telangiectasia— cryo-laser & cryo-sclerotherapy (CLaCS), which includes transdermal laser and sclerotherapy with dextrose, as well as cooling. In European and US recommendations for the treatment of chronic venous disease, EVTA is indicated as the first choice in the treatment of VV. Sclerotherapy and ambulatory micro phlebectomy are used to eliminate residual and recurrent varicose veins and in cases of absence of axial reflux. MOCA and CAC are the second choice methods

    Co-Attentive Cross-Modal Deep Learning for Medical Evidence Synthesis and Decision Making

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    Modern medicine requires generalised approaches to the synthesis and integration of multimodal data, often at different biological scales, that can be applied to a variety of evidence structures, such as complex disease analyses and epidemiological models. However, current methods are either slow and expensive, or ineffective due to the inability to model the complex relationships between data modes which differ in scale and format. We address these issues by proposing a cross-modal deep learning architecture and co-attention mechanism to accurately model the relationships between the different data modes, while further reducing patient diagnosis time. Differentiating Parkinson's Disease (PD) patients from healthy patients forms the basis of the evaluation. The model outperforms the previous state-of-the-art unimodal analysis by 2.35%, while also being 53% more parameter efficient than the industry standard cross-modal model. Furthermore, the evaluation of the attention coefficients allows for qualitative insights to be obtained. Through the coupling with bioinformatics, a novel link between the interferon-gamma-mediated pathway, DNA methylation and PD was identified. We believe that our approach is general and could optimise the process of medical evidence synthesis and decision making in an actionable way
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