Hydrogen Inhalation Reduces Lung Inflammation and Blood Pressure in the Experimental Model of Pulmonary Hypertension in Rats.

Hydrogen has been shown to exhibit selective antioxidant properties against hydroxyl radicals, and exerts antioxidant and anti-inflammatory effects. The monocrotaline-induced model of pulmonary hypertension is suitable for studying substances with antioxidant activity because oxidative stress is induced by monocrotaline. On day 1, male Wistar rats were subcutaneously injected with a water-alcohol solution of monocrotaline or a control with an only water-alcohol solution.

Self-supervised recurrent depth estimation with attention mechanisms.

Depth estimation has been an essential task for many computer vision applications, especially in autonomous driving, where safety is paramount. Depth can be estimated not only with traditional supervised learning but also via a self-supervised approach that relies on camera motion and does not require ground truth depth maps. Recently, major improvements have been introduced to make self-supervised depth prediction more precise.

Combined histochemical approach in assessing tryptase expression in the mast cell population.

To increase the efficiency of interpretation of mast cell's contribution to the state of a specific tissue microenvironment, it is necessary to detail the molecular composition of their secretome and analyze the pathways of degranulation. Developed method of combining immunomorphological and histochemical staining protocols contributes to the most objective detection of the integral level of tryptase expression in the intraorgan population of the skin mast cells. Novel technique for tryptase detection expands the possibilities of morphological analysis, provides researchers with additional data on the structure of the mast cell population and helps visualize the processing and cytological features and structural targets of tryptase during the development of adaptive and pathological reactions.

Dual network embedding for representing research interests in the link prediction problem on co-authorship networks.

We present a study on co-authorship network representation based on network embedding together with additional information on topic modeling of research papers and new edge embedding operator. We use the link prediction (LP) model for constructing a recommender system for searching collaborators with similar research interests. Extracting topics for each paper, we construct keywords co-occurrence network and use its embedding for further generalizing author attributes.

[Results of administering oral anticoagulants for treatment of patients with venous thromboembolic complications].

The objective of the study was to compare safety and efficacy of rivaroxaban and dabigatran with warfarin in treatment of patients with acute venous thromboembolic complications (VTEC). The authors analysed the results of examining and treating a total of 95 patients presenting with VTEC and randomly divided into three groups. In all groups the initial anticoagulant therapy consisted in unfractionated heparin administered for 5 days, after which the patients followed by switching were switched to a 6-month course of treatment with oral anticoagulants.