Этиопатогенетические аспекты терапии хронических воспалительных заболеваний органов малого таза

Наведено сучасні принципи лікування запальних захворювань жіночих статевих органів з урахуванням етіопатогенезу запалення й особливостей продукції у цервікальному слизу запальних і протизапальних цитокинів. Показано, що включення до комплексу терапії інтерферонів сприяє відновленню порушеного імунологічного гомеостазу й зниженню ймовірності рецидивів захворювання.Modern principles of treatment of inflammatory diseases of female genitals taking into account an etiopathogenesis of an inflammation and features of production in сervical mucous inflammatory and antiinflammatory cytokines are resulted. Including in a complex of therapy of interferons is shown, that, promotes restoration of the broken immunologic homeostasis and depression of probability of relapses of disease

iAVPs-ResBi: Identifying antiviral peptides by using deep residual network and bidirectional gated recurrent unit

Human history is also the history of the fight against viral diseases. From the eradication of viruses to coexistence, advances in biomedicine have led to a more objective understanding of viruses and a corresponding increase in the tools and methods to combat them. More recently, antiviral peptides (AVPs) have been discovered, which due to their superior advantages, have achieved great impact as antiviral drugs. Therefore, it is very necessary to develop a prediction model to accurately identify AVPs. In this paper, we develop the iAVPs-ResBi model using k-spaced amino acid pairs (KSAAP), encoding based on grouped weight (EBGW), enhanced grouped amino acid composition (EGAAC) based on the N5C5 sequence, composition, transition and distribution (CTD) based on physicochemical properties for multi-feature extraction. Then we adopt bidirectional long short-term memory (BiLSTM) to fuse features for obtaining the most differentiated information from multiple original feature sets. Finally, the deep model is built by combining improved residual network and bidirectional gated recurrent unit (BiGRU) to perform classification. The results obtained are better than those of the existing methods, and the accuracies are 95.07, 98.07, 94.29 and 97.50% on the four datasets, which show that iAVPs-ResBi can be used as an effective tool for the identification of antiviral peptides. The datasets and codes are freely available at https://github.com/yunyunliang88/iAVPs-ResBi

Anomalous Valley Magnetic Moment of Graphene

Carrier interactions on graphene are studied. The study shows that besides the well known Coulomb repulsion between carriers, there also exist four-fermion interactions associated with U-process, one of which attracts carriers in different valleys. We then calculate the contributions to valley magnetic moment from vertex correction and from four-fermion corrections explicitly. The relative contributions are -18% and 3% respectively. At last we point out that we can mimic heavy quarkonium system by carrier interactions in graphene.Comment: 6 pages, 2 figure