Selection as the main direction of scientific studies and main steps of selection and breeding work in Ukraine (a review)

Objective: For a long time, selection, as a science, has been dealing with the creation of varieties and hybrids of agricultural plants, animal breeds, microorganism strains and studying the methods of all of the above. At the same time, like any component of science, it has its own directions of development, and improves them in time. Therefore, the purpose of this work was to investigate the historical development of selection as a science, to analyze the current state, and to characterize the application of basic breeding methods in aquaculture in Ukraine. Findings: The author of the work reviewed and analyzed professional scientific literature on the development of selection as one of the methods of scientific studies. In particular, the historical aspects of the development of selection in crop production and animal husbandry, including fish farming, have been considered, and its main directions have been highlighted. A promising method for the development of synthetic selection was proposed: reciprocal crossing, and the current state of selection and breeding work in fish farming was described. Practical value: The review of literature sources can be useful for the preparation of lecture material during the training process for training specialists in the specialty 207 "Aquatic Bioresources and Aquaculture", including specialists in ichthyology, veterinary medicine, zoology. Key words: Breeding, genetics, breeding, breed, intrabreed type.

Detection of signals of moving objects based on the time selection method

To increase the efficiency of detecting moving objects in radiolocation, additional features are used, associated with the characteristics of trajectories. The authors assumed that trajectories are correlated, that allows extrapolation of the coordinate values taking into account their increments over the scanning period. The detection procedure consists of two stages. At the first, detection is carried out by the classical threshold method with a low threshold level, which provides a high probability of detection with high values of the probability of false alarms. At the same time uncertainty in the selection of object trajectory embedded in false trajectories arises. Due to the statistical independence of the coordinates of the false trajectories in comparison with the correlated coordinates of the object, the average duration of the first of them is less than the average duration of the second ones. This difference is used to solve the detection problem at the second stage based on the time-selection method. The obtained results allow estimation of the degree of gain in the probability of detection when using the proposed method.

Analysis of the Results of Professional Selection of Cosmonaut Candidates by Physical Readiness in 2019–2020.

The paper deals with the results of professional selection of cosmonaut candi-dates by physical readiness in 2019–2020 within the framework of the third open contest. The basis for this analysis was the documented medical fitness certificates of applicants developed according to the results of performing the normative physical exercises by them during the full-time selection stage at “Yu.A. Gagarin R&T CTC” FSBO.

MagmaFOAM-1.0: a modular framework for the simulation of magmatic systems

Numerical simulations of volcanic processes play a fundamental role in understanding the dynamics of magma storage, ascent and eruption. The recent extraordinary progress in computer performance and improvements in numerical modeling techniques allow simulating multiphase systems in mechanical and thermodynamical disequilibrium. Nonetheless, the growing complexity of these simulations requires the development of flexible computational tools that can easily switch between sub-models and solution techniques. In this work we present MagmaFOAM, a library based on the open source computational fluid dynamics software OpenFOAM, that incorporates models for solving the dynamics of multiphase, multicomponent magmatic systems. Retaining the modular structure of OpenFOAM, MagmaFOAM allows run-time selection of the solution technique depending on the physics of the specific process, and sets a solid framework for in-house and community model development, testing and comparison. MagmaFOAM models thermo-mechanical non-equilibrium phase coupling and phase change, and implements state-of-the-art multiple volatile saturation models and constitutive equations with composition-dependent and space-time local computation of thermodynamic and transport properties. Code testing is performed using different multiphase modeling approches for processes relevant to magmatic systems: Rayleigh-Taylor instability, for buyoancy-driven magmatic processes; multiphase shock tube simulations, propedeutical to conduit dynamics studies; bubble growth and breakage in basaltic melts. Benchmark simulations illustrate the capabilities and potential of MagmaFOAM to account for the variety of non-linear physical and thermodynamical processes characterizing the dynamics of volcanic systems.

Multi-Camera Vessel-Speed Enforcement by Enhancing Detection and Re-Identification Techniques

This paper presents a camera-based vessel-speed enforcement system based on two cameras. The proposed system detects and tracks vessels per camera view and employs a re-identification (re-ID) function for linking vessels between the two cameras based on multiple bounding-box images per vessel. Newly detected vessels in one camera (query) are compared to the gallery set of all vessels detected by the other camera. To train and evaluate the proposed detection and re-ID system, a new Vessel-reID dataset is introduced. This extensive dataset has captured a total of 2474 different vessels covered in multiple images, resulting in a total of 136,888 vessel bounding-box images. Multiple CNN detector architectures are evaluated in-depth. The SSD512 detector performs best with respect to its speed (85.0% Recall@95Precision at 20.1 frames per second). For the re-ID of vessels, a large portion of the total trajectory can be covered by the successful detections of the SSD model. The re-ID experiments start with a baseline single-image evaluation obtaining a score of 55.9% Rank-1 (49.7% mAP) for the existing TriNet network, while the available MGN model obtains 68.9% Rank-1 (62.6% mAP). The performance significantly increases with 5.6% Rank-1 (5.7% mAP) for MGN by applying matching with multiple images from a single vessel. When emphasizing more fine details by selecting only the largest bounding-box images, another 2.0% Rank-1 (1.4% mAP) is added. Application-specific optimizations such as travel-time selection and applying a cross-camera matching constraint further enhance the results, leading to a final 88.9% Rank-1 and 83.5% mAP performance.