THE SIMULATION RESULTS OF THE BOAT IN SHALLOW WATER

The questions are considered of the movement vessel in shallow with constant and variable depth. The equations of dynamics vessel are obtained, permitting to allow the impact on the dynamics of shallow vessel by substituting the coefficients of the equations of motion the vessel in deep water relations draft of the vessel to the depth of the waters. The mathematical model has been developed of the vessel on a given curse trajectory in shallow at variable depth

VARIABILITY OF RACIAL COMPOSITION OF SUNFLOWER BROOMRAPE (ОROBANCHE CUMANA WALLR.) AND NEW STRATEGIES FOR PROTECTION FROM THE PARASITE

Sunflower broomrape is a parasitic chlorophyll plant that affects the root system of the host plant, absorbing water, nutrients and toxic products from it. Germination of broomrape seeds occurs due to strigolactones released into the soil by the roots of sunflower, which attracts arbuscular mycorrhizal fungi (AM-fungi). Strigolactones are substances of the “hunger” of plants and belong to a new class of phytohormones involved in many physiological processes, including the regulation of the availability of nutrients by the roots. The specific receptor KARRIKIN INSENSITIVE2 DIVERGENT (KAI2d) was identified in the broomrape, which is involved in the differential recognition of root sunflower exudates. Several genes of KAI2d have been established in the parasite genome, which encode the KAI2d receptors. As a result of the discovery of substances involved in the germination of broomrape seeds, new strategies for protecting sunflower from this parasitic plant are being discussed, which are under development. On the basis of strigolactones, a synthetic preparation, GR24, and its analogues have been created with the aim of introducing them into the soil to stimulate germination of broomrape seeds. The amino acid methionine strongly inhibits the early development of broomrape without a phytotoxic effect in sunflower. Seeds of broomrape are less likely to recognize the roots of sunflower, which are colonized by AM fungi, bacteria Rhizobium leguminosarum, Azospirillum brasilense due to a change in the composition of root exudates in colonized plants. Of great interest among the synthesized elicitors is acibenzolar-S-methyl. It causes systemic resistance to bacterial, fungal and viral diseases, induces the synthesis of PR proteins, and also activates the protective reactions of sunflower to the introduction of broomrape and leads to lignification of the endoderm and inhibition of haustoria of the broomrape seeds through the cell wall of the root cells

Влияние лецитина и казеина на спектр антимикробной активности бактериоцинов молочнокислых бактерий, изолированных из азербайджанских сыров

Изучено влияние лецитина и казеина на спектр антимикробной активности бактериоцинов, выделенных из штаммов Lactobacillus paracasei spp. paracasei BN ATS 8w, Enterococcus faecium А5 и Lactobacillus rhamnosus FAZ 16m. В качестве пассивной культуры использованы Lactobacillus bulgaricus 340, Listeria innocua СIP 80.11, Escherichia coli ATCC 23355, Enterococcus faecalis ATCC 1.144. При исследуемых концентрациях лецитин и казеин отрицательно влияли на активность бактериоцинов. Эти факторы входят в состав большинства ферментированных продуктов

Computational Intelligence for Solving Complex Optimization Problems

Complex optimization issues may now be solved using computational intelligence (CI), which has shown to be a powerful and diverse discipline. Traditional optimization approaches frequently struggle to offer efficient and effective solutions because real-world situations are becoming more complicated. Evolutionary algorithms, neural networks, fuzzy systems, and swarm intelligence are just a few examples of the many methods that fall under the umbrella of computational intelligence and are inspired by both natural and artificial intelligence. This abstract examines how computational intelligence techniques are used to solve complicated optimization issues, highlighting their benefits, drawbacks, and most recent developments. In this, computational intelligence techniques provide a potent and adaptable solution for resolving challenging optimization issues. They are highly adapted for dealing with the non-linear connections, uncertainties, and multi-objective situations that arise in real-world problems. The limits of computational intelligence have recently been pushed by recent developments in hybrid techniques and metaheuristics, even if obstacles in algorithm design and parameter tuning still exist. Computational intelligence is anticipated to play an increasingly significant role in tackling complicated optimization issues and fostering innovation across a variety of disciplines as technology continues to advance

Investigation of some physico-chemical properties of Elaeagnus L. GUM

As is known, most polysaccharides have biological activity, play important roles in life processes, and are widely used in healthcare, food processing, and cosmetic production due to their therapeutic effects and relatively low toxicity. Among polysaccharides, this class’s representatives do not have a biological activity to some pathogens of diseases but have a huge potential to use them in various sectors of the national economy, such as in the food industry, cosmetics, and pharmaceuticals. One such polysaccharide is the gum obtained from the plant Elaeagnus L. germinating in the Xinjiang Uygur Autonomous Region of China and Central Asia. The local people call it jidah. This article is devoted to the extraction, purification, the determination of the monomeric composition, molecular weight, viscosity, spectral analysis, and some chemical properties of the polysaccharide obtained from the gum of the named plant Elaeagnus L

ЭПИДЕМИОЛОГИЧЕСКИЕ ЗАКОНОМЕРНОСТИ ХРОНИЧЕСКОЙ HBV-ИНФЕКЦИИ В СЕМЕЙНЫХ ОЧАГАХ

Analysis and examination of 220 families allowed to reveal the presence of interfamily concentration of chronic HBV-infection in 30.9% cases. The role of interdependence of the different haptoglobin (HP) phenotypes with the genotypic properties of the virus in the formation of «family cases» of chronic hepatitis В (CHB) were defined and the peculiarities of the profile of HBV markers depending on the carrier and HP viral genotype in children from family cases with CHB were discovered.Обследование 220  семейных очагов инфекции, вызванной вирусом гепатита В (HBV-инфекции),  позволило выявить наличие внутрисемейной концентрации хронической  HBV-инфекции в 30,9% случаев. Определена роль взаимообусловленности различных фенотипов гаптоглобина  (Нр)  с  генотипическими   свойствами вируса  в  формировании  «семейных случаев» хронического гепатита В (ХГВ). Выявлены особенности маркерного профиля HBV в зависимости от носительства Нр и генотипа вируса у детей из семейных очагов ХГВ

Electric Vehicle Wireless Charging using RFID

Electric vehicle (EV) wireless charging using radio-frequency identification (RFID) is a novel technology that enables the charging of electric vehicles without the need for wires or cables. The technology utilizes RFID tags that are installed on the EV, which communicate with the charging pad through electromagnetic fields. The charging process is initiated when the RFID reader detects the presence of the EV with the installed RFID tag, and the charging pad is activated. The power transfer is then enabled between the charging pad and the EV, allowing for the charging process to begin. RFID-based wireless charging technology offers numerous benefits over traditional wired charging systems. For instance, it eliminates the need for physical connectors, thereby reducing the wear and tear of components and increasing the convenience of charging. Moreover, the technology is more efficient, with minimal energy losses, and reduces the risk of electrical hazards. It also minimizes the impact of weather conditions and road debris on the charging process, making it suitable for both indoor and outdoor charging application. In conclusion, EV wireless charging using RFID is a promising technology that can potentially revolutionize the EV charging industry. It offers numerous benefits, including increased convenience, efficiency, and safety, and has the potential to significantly reduce the environmental impact of transportation

Advancements in Compiler Design and Optimization Techniques

The modern period has seen advancements in compiler design, optimization technique, and software system efficiency. The influence of the most recent developments in compiler design and optimization techniques on program execution speed, memory utilization, and overall software quality is highlighted in this study. The design of the compiler is advanced by the efficient code that is now structured in research with high-speed performance without manual intervention. The influence of the most recent developments in compiler design and optimization techniques on program execution speed, memory utilization, and overall software quality is highlighted in this paper's thorough analysis

A Project to Context Decarbonization Analysis (PCDA) to Select the Best Energy Transition Solution Fit for Funding

An Energy Transition (ET) solutions screening has been performed in a near-Europe (EU) geography (Central Asia) to assess the sustainability of investment opportunities on green technologies in line with Environmental, Social and Governance (ESG) criteria, EU climate ambition, market trends and Technology Readiness Level (TRL). Several configurations, namely a technological solution contextualized in its Life Cycle Assessment (LCA) perspective by the overall value chain, have been studied, analysed and compared through a Carbon Energy Environmental and Cost Model (CEE&C) in a Project to Context Decarbonization Analysis (PCDA). The outcome of this study allowed to select the best set of ET Solution fit for the Central Asia context and attractive for climate funding framework. 7 typical ET technologies with 3 to 6 different decarbonization scenarios for a total of 40+ configurations have been considered, ranked and tested against strategic stakeholders’ engagement criteria (industrial partner, state investments, feedstock provider, off-taker, financing institutions) and economic and financial criteria (project authorizations, feedstock guarantee, fiscal incentives, etc.). Key Performance Indicators (KPIs) considered for the ranking of configuration are Product Carbon Footprint (CTG), Greenhouse Gas (GHG) avoidance, Levelized Cost of Carbon (LCOC) by project Capital Expenditures (CAPEX) and LCOC by cost efficiency. Our proposed paper intends to show how the results of the CEE&C model with the LCOC in a PCDA study can support stakeholders and investors to implement their geographical decarbonization ambition and strategy

Anxiety-depressive disorders and quality of life of patients with primary gonarthrosis in combination with obesity

The purpose of the study is to assess the quality of life of patients, concomitant diseases and anxiety-depressive disorders in patients with primary osteoarthritis of the knee joints and obesity.Цель исследования – оценить качество жизни больных, сопутствующие заболевания и тревожно-депрессивные расстройства у пациентов с первичным ОА коленных суставов и ожирением