Harvester open publications of NAS Ukraine
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Медична ботаніка в системі ботанічних садів України
No full textThe study analyzed the historical background and the formation of medical botany as a new scientific discipline at the M.M. Gryshko National Botanical Garden of the NAS of Ukraine. Throughout its entire period of existence (as a department and later as a laboratory), the Medical Botany division has functioned as a center for consolidating the efforts of botanists, florists, resource management specialists, iatrochemists, pharmacologists, clinicians, and other relevant experts from Ukraine. The coordinated work of these specialists has focused on the conservation and enhancement of biological resources, as well as the advancement and institutional development of phytotherapy in Ukraine. The primary scientific direction of the Laboratory of Medical Botany is the mobilization of Ukraine’s medicinal plant resources for disease prevention and enhancing human performance under conditions of ecological stress. This requires targeted research aimed at: forecasting prospects for enriching the raw-material base of medicinal plants through the selection and inclusion of native Ukrainian flora and introduced species that represent valuable sources of biologically active compounds; conducting morphological and phytochemical studies of medicinal plants to determine the potential for their multifunctional use; identifying and investigating plants with antiviral, immunostimulatory, radioprotective, antimutagenic, insecticidal and other biologically active properties; introducing promising species into cultivation; searching for and utilizing unconventional plants as potential sources of biologically active compounds for medicinal, nutritional, technical and other applications; ensuring waste-free technologies for processing medicinal plant raw materials through the use of secondary resources to obtain complex biologically active substances; developing therapeutic and prophylactic products of special purpose, as well as phytopreparations with a broad spectrum of physiological activity; conserving rare and endangered species; and promoting medicinal plants through educational and outreach activities.The plants of the collection fund are organized according to a systematic principle, taking into account their pharmacological properties, including anti-inflammatory, choleretic, diuretic, immunostimulatory, sedative, antispasmodic, hemostatic, and other activities, which are determined by the content of biologically active compounds (carbohydrates, alkaloids, glycosides, flavonoids, volatile organic compounds, and others). In 2015, the Collection of Medicinal Plants was designated as a national heritage object
Підтверджена популяція клокички перистої (Staphylea pinnata) на горі Радич (Зовнішні Східні Карпати, Україна)
No full textIn May 2025, after 145 years, we successfully confirmed a population of rare and relic species, European bladdernut (Staphylea pinnata), on Mt. Radych (Outer Eastern Carpathians) near the village Rozheve, Sambir district, Lviv Region (Ukraine). The collected materials are deposited at the LWS herbarium
The constructional knowledge of sets and their properties
No full textPrombles in programming 2014; 1: 3-1
Verification of programs: status, problems and experimental results. I
No full textPrombles in programming 2013; 4: 53-6
About one technique for forming an object representation of relational data
No full textPrombles in programming 2013; 3: 79-8
Scheme of a parallel solution of the problem of difraction of SH-waves on a system of non-circular cracks in an infinite elastic medium
No full textA parallel algorithm of a numerical solution of a stationary problem of the elasticity theory about the interaction of harmonic SH-waves with a system of non-circular cracks-cuts in an infinite elastic medium, is offered. The boundary-value problem is reduced to a system of singular integro-differential equations.Prombles in programming 2014; 2-3: 82-8
Development of formal models, algorithms, procedures, engineering and functioning of the software system “Instrumental complex for ontological engineering purpose”
No full textThe given paper considered a generalized model representation of the SS ICOP. Represented complete software system development process. Developed relevant formal models of SS ICOP, represented as mathematical expressions, UML diagrams, and also described the three-tier architecture of SS ICOP in a client-server environment.Prombles in programming 2014; 2-3: 221-23
Creation of design methods for the CUDA hardware and software platform
No full textPrombles in programming 2013; 3: 47-6
Elasticsearch for big geotemporal data
Get PDFAn exponential growth in the volume and complexity of geospatial data, driven by advances in GPS technology, mobile devices, and Internet of Things (IoT) sensors, has created an urgent need for scalable and efficient solutions for storage and query processing [1]. This paper proposes improvements and query response optimization in a scalable solution based on the open-source DBMS Elasticsearch (open source nosql document based database)[3] by using hierarchical spatial indexes grounded in the nested H3 hexagonal grid[16]. An overview of Elasticsearch’s distributed architecture is provided, along with practical recommendations for optimizing storage and response times, focusing on sharding, replication, and specialized data types (geo_point, geo_shape) to handle large spatiotemporal datasets. Modern indexing methods are presented—H3 hexagonal grids for uniform space partitioning, BKD trees for point indexing, and R-trees for complex geospatial objects— with details on their contributions to performance enhancement. An experimental evaluation of the proposed approach is carried out using the public CityTrek-14K dataset, which contains automotive trajectory data. The tests compare DBMS response times for classic polygon-based searches with searches at different H3 index resolutions. The results confirm that high-resolution indexing significantly reduces query times while balancing accuracy and resource usage. Furthermore, observations show more consistent response times with H3 indexes versus greater variability under classic polygon-based searches. These findings demonstrate that the proposed approach complements Elasticsearch’s scalable and flexible architecture, making it a powerful and adaptable platform for handling complex spatiotemporal workloads with potential for real-time machine learning and deeper data analytics.Prombles in programming 2025; 1: 55-6