The modern economic development of the Russian Arctic zone is connected with the necessity to solve a complex of diverse problems: institutional, socio-economic, environmental, ecological, etc. relevant to nature management patterns elaboration. Data concerning modern and future nature management patterns at indigenous peoples’ lands are of primary importance to provide their economic development and exclude ethnic-cultural conflicts undermining social stability. Statistical information concerning ecological, ethnological, nature management patterns, cultural issues are still scattered. The goal of this investigation is the elaboration of a multi-functional information platform based on blockchain principles to achieve sustainable development of territories of traditional nature use of indigenous population (TTNU) in the Russian Arctic involved in the process of nature management transformation during the planned socio-economic development of the Russian Arctic zone. Blockchain solution presented here is directed to promote sustainable patterns of the Arctic zone pioneer economic development and ensure optimal use of its natural capital via public-private collaboration and reliable accounting for ongoing land-use changes. Applied results of this technology will be the provision of land rights, security of transactions, as well as the development of economic instruments for regulating land and industrial relations. It demonstrates a possibility for decentralized and sustainable resource management.

The genetic diversity of Pinus plants has been assessed in various phylogenetic studies that reveal the polymorphism directly at DNA levels. The rbcL and matK are the most commonly used markers for phylogenetic studies of Pinus sp. that exhibit a diverse geophysical adaptiveness and geographical variations across different regions as a result of genotypic modifications. This study evaluated usefulness of rbcL and matK genes for molecular identification and phylogenetic study among various species of Pinus. Cluster analysis of the data obtained from rbcL gene belonging to ten Pinus species revealed four clusters. First Cluster included P. wallichiana (PW), P.elliottii (PEl) and P.greggii (PG). Second cluster included P. thunbergii (PT) ,P. echanata (PE) and P.merkusii (PM). Third cluster included P.taeda (Ptd) and P. khasya (PK) while fourth cluster included P. roxburghii(PR) and P. patula (PP) . Similarly cluster analysis of the data obtained from matK gene belonging to ten Pinus species revealed four cluster and one outgroup. First Cluster included P. thunbergii (PT), P.greggii (PG) and P.elliottii (PEl) Second cluster included P. roxburghii(PR) and P.merkusii (PM)P. echinata (PE) and third cluster included P. wallichiana (PW) and P.taeda (Ptd) while fourth cluster included P. patula (PP) and P. khasya (PK). P.echinata remained out clustered in this analysis.

The realistic consideration of uncertainties of various nature and scale is a key issue in ensuring a faultless life of metallic structures and systems despite fluctuations and changes of structural and environmental parameters and conditions. Varying loads on metallic structures leads to corrosion or fatigue cracks, and in turn when the corrosion grows or the cracks propagate, the structural system accumulates damage thereby leading to serviceability loss and/or eventual collapse. Appropriate maintenance scheduling and repair can prevent these failures. A probabilistic framework for reliability analysis of optimal inspection and maintenance schedule selection for buried pipeline under uncertainty using efficient Monte Carlo procedure is proposed. The probabilistic framework is employed for reliability estimation of the impact of inspection and repair activities planned over the service life of buried pipelines vulnerable to corrosion, and subjected to simultaneous combination of loads. The proposed approach is adopted to solve the optimal inspection interval and the repair strategy that will maintain adequate reliability throughout the service life of the pipeline. Such analyses are generally limited by the computational cost of the numerical simulation. A maintenance strategy is formulated as optimization problem considering combined loads and uncertainties. Optimal solution is obtained through only one reliability assessment as a credit to the proposed approach making the analysis of industrial size problem feasible. Results obtained for typical pipelines are presented using the proposed numerical strategy.

Recently, the significance of mitral valve (MV) treatment is increasing because of an aging population. The computer vision based acquisition and quantification of the valve anatomy becomes helpful for surgical and intercessional planning. The right option of common treatment and implantation is pertinent for most favorable results. Several studies reported that the decision support system (DSS) could offer decisions based on the virtual involvement planning and prediction models. Generally, the segmentation and classification of MV from the computed tomography (CT) images are highly complicated owing to the variations in appearance and visibility. In this paper, we introduce an efficient automated DSS model for the MV identification and classification called as WS-XRF model by incorporating two modules namely image segmentation and image classification. A watershed algorithm with channel separation is used to segment the MV images. And then, the Xception model with random forest (RF) model is utilized to train and classify images. A detailed simulation is performed on the CT images collected from hospitals. The presented WS-X model is tested and a comparative study is made with the relevant works to highlight its superior nature. The obtained results stressed out that the WS-X model is found to be an appropriate model for MV problem under various aspects.

The legal system of Northern Bukovina and Bessarabia was not the same due to their historical backgrounds. Northern Bukovina was more developed and people there had higher legal culture. In Bukovina, Ukrainian National Party had legal status and its members were deputies of the Romanian Parliament. It is concluded that Romanian law was highly influenced by the French legislation. State bodies such as local authorities, courts, the procuracy and advocacy were transformed based on example of Romania.

The article provides an analysis of the current state of the procedural legislation of Ukraine in the context of the judicial system reform carried out in 2014-2019. The key issue of the judicial reform in Ukraine is the implementation of the principles of the organization and administration of justice, the main of which is the supremacy of the law. The essential principle in terms of the strategic vision of the key results of the judicial reform in Ukraine was the improvement of such principles as political and economic independence of justice. The second principle of the organization and implementation of the judicial power in Ukraine was the principle of accessibility of justice, which is traditionally viewed as a lack of excessive judicial expenses, lack of judicial corruption, complex judicial procedures and excessive length of the judicial process. An important step in the implementation of the justice reform was the reformation of legal institutions related to the judicial system (advocacy, court enforcement action, reform of legal education, etc.).