bluuebunny/crossref_metadata_2025 huggingface dataset:
EVALUATING THE ADAPTIVE POTENTIAL OF MID-RIPENING POTATO CULTIVARS OF THE CHELYABINSK BREEDING
Authors:   Ural federal agrarian research center of the Ural Branch of the Russian Academy of Sciences, Dergileva Tamara T. , Dergilev Vasiliy P. ,   Ural federal agrarian research centre of the Ural Branch of the Russian Academy of Sciences, Vasiliev Aleksandr A. ,   Ural federal agrarian research centre of the Ural Branch of the Russian Academy of Sciences, Islamova Anara D. ,   Ural federal agrarian research centre of the Ural Branch of the Russian Academy of Sciences
Published: August 2024

The paper analyses the adaptive potential of mid-ripening potato cultivars of the Chelyabinsk breeding. 15 adaptive potato samples have been taken: five cultivars released in the Ural region (Zakhar, Tarasov, Kashtak, Kavaler, Spiridon), one cultivar submitted for state testing (Sapfir) and nine promising cultivars (10.76.1, 10.02.12, 09.23.30 , 09.4.1, 08.17.1, 04.2.13, 05.60.24, 05.76.1 and 04.1.97). To increase the productivity of the potato industry, adaptive cultivars of local breeding should be used. Efforts should be put to submit samples 10.76.1 (KA = 1.32) and 10.02.12 (KA = 1.26) to the state testing as the cultivars have a high degree of adaptability to soil, climatic and phytosanitary conditions of Chelyabinsk region. Mineral fertilisers (N132P143K158) per a 40 t/ha yield ensured higher tuber yields of mid-ripening potato cultivars of the Chelyabinsk breeding: by 3.32–5.51 t/ha in a planting pattern of 75 × 33 cm, by 5.93– 9.31 t/ha in 75 × 19 cm, by 7.14–14.38 t/ha in 75 × 14 cm, depending on the cultivar. The fertiliser rates (N260P260K285) per 60 t/ha increased the yield of tubers: by 7.46–10.82 t/ha in a planting pattern of 75 × 33 cm, by 13.96–18.41 t/ha in 75 × 19 cm, 10 by 17.60–24.75 t/ha in 75 × 14 cm compared to the control (without fertilisers). Thickening of plantings from 40 to 70 thousand tubers/ha improved the yields of the studied cultivars by 3.83–14.07 t/ha; at a higher planting density (up to 95 thousand tubers/ha) the yields rose by 5.90–23.46 t/ha, depending on the cultivar and level of mineral nutrition.
CALCULATION OF THE MAIN TECHNOLOGICAL PARAMETERS OF THE PROCESS DURING ECW OF METAL WOVEN MESH TO SHAFTS MADE OF STEEL 45
Authors:   Bashkir State Agrarian University, Farkhshatov Mars N. , Pavlov Arthur P. ,   Bashkir State Agrarian University, Natalenko Valery S. ,   Moscow Polytechnic University, Latypov Rashit A. ,   Moscow Polytechnic University
Published: August 2024

When welding metal woven meshes to samples made of steel 45 (similar AISI 1045) by electric contact welding (ECW), a welded joint is formed in the solid phase. The article presents calculations of the main technological parameters of electrocontact welding of metal woven grids to samples made of 45 steel to ensure the continuity of the restored surface and obtain a coating with a given thickness: current strength, forces pressing roller electrodes to the part and the time of the current pulse.
ANALYSIS OF CONSUMER PROPERTIES OF FISH CUTLETS USING RAW MATERIALS FROM VARIOUS FISH SPECIES
Authors:   Bashkir State Agrarian University, Chernenkov Evgeniy N. , Valishina Nuria R. ,   Bashkir State Agrarian University, Chernenkova Alfiya A. ,   Bashkir State Agrarian University, Kaluzhina Olesya Yu. ,   Bashkir State Agrarian University
Published: August 2024

In the production of mass consumption products, it is promising to develop products using fish raw materials, from which various types of semi-finished products, including chopped ones, are possible. This article presents the results of the analysis of samples of fish cakes made according to the standard recipe, as well as with the complete replacement of cod fillet with haddock fillet or pink salmon fillet. In all the studied samples, organoleptic indicators, functional and technological properties of minced meat and the chemical composition of cutlets were studied. Analysis of the results of the organoleptic evaluation showed that cutlets from pink salmon fillet were superior to samples of cutlets from cod and haddock fillet in terms of appearance, color, juiciness, smell, taste and texture. According to the results of the sensory assessment, it was found that cutlets from cod fillet and haddock had the minimum value in terms of juiciness. When using haddock and pink salmon fillets, an increase in friability was noted. Similar results were obtained when assessing the descriptors of tenderness, chewiness and uniformity. An analysis of the functional and technological properties of minced meat showed that minced fish made from pink salmon fillet has the highest moisture-binding and water-holding capacity. Fish cutlets from pink salmon fillet exceed the control sample in terms of protein mass fraction by 4.6 g; mass fraction of fat by 3.9 g, and by energy value by 53.9 kcal. The use of haddock or pink salmon fillet in the recipe of fish cakes increases the amount of vitamins B12, D and PP, especially in significant quantities when using pink salmon fillet. When using pink salmon fillet, the amount of vitamin B12 increased compared to the control sample by 2.6 times, vitamin D by 23.2 times, and vitamin PP by 1.3 times. The data obtained indicate the prospects for the use of haddock or pink salmon fillets in the formulation of fish cakes.
OPTIMIZATION OF THE PRODUCTIVITY AND MORPHOLOGICAL COMPOSITION OF THE BLOOD OF YOUNG CATTLE USING BIOLOGICALLY ACTIVE ADDITIVES
Authors:   Kuzbass State Agrarian University named after V.N. Poletskov, Rassolov Sergey N. , Zaitsev Petr V. ,   Kuzbass State Agrarian University named after V.N. Poletskov, Schmidt Alexander A. ,   Kuzbass State Agrarian University named after V.N. Poletskov
Published: August 2024

Research objective. Determination of effectiveness of selenium and iodine preparations effect in combination with herbal extracts on productive qualities and physiological status of calves. The combined use of micronutrients selenium and iodine against the background of medicinal plant extracts to increase the productivity of farm animals is an urgent problem. The purpose of this work is to determine the effectiveness of the influence of selenium and iodine preparations in combination with extracts of medicinal herbs on the productive qualities and physiological status of calves. Procedure.From the beginning of the main period of the experiment (from 3 months of age), the conditions of housing and feeding for the groups were the same, but the animals of the experimental groups were given various drugs in addition to the main diet. Results. At the end of the experimental tests, compared with the control group, the average live weight of the animal in group 1 was higher by 1.30 %, and in group II it was higher by 3.3 % (P > 0.05). The average daily increase also increased in the first experimental group by 3.0 % (P > 0.05), in the second experimental group by 7.4 % (P > 0.05), compared with the control. Analysis of the morphological composition of blood from young animals subjected to testing showed on the 150th day of the experiment an increase in the number of erythrocytes in the 1st experimental group by 10.4 % (P < 0.05), and in the 2nd experimental group the increase occurred by 13.4 % (P < 0, 05) compared to control. We recorded an increase in the number of leukocytes in the blood of young calves at the end of the study, on day 150, in the first experimental group by 4.60 % (P > 0.05), in the second experimental group by 8.01 % (P < 0, 05), compared to the control group. On the 150th day of experimental tests, when studying the morphological composition of blood from experimental animals, it was found that the concentration of hemoglobin in the blood of young calves was higher in experimental group I by 3.30 % (P > 0.05), in experimental group II it was higher by 9, 74 % (P < 0.05) compared with analogues in the control group. Scientific novelty. The joint use of selenium and iodine micronutrients against the background of extracts of medicinal plants to increase the productivity of farm animals is an urgent problem. For the first time, the effect of various combinations of selenium and iodine preparations in combination with extracts of medicinal herbs on the productivity and physiological status of young cattle was assessed. Optimal doses of said fodder ingredients introduction into their diets are proposed.
PROSPECTS FOR THE USE OF SECONDARY RAW MATERIALS IN DESSERTS PRODUCTION
Authors:   Novosibirsk State Technical University, Korpacheva Svetlana M. , Suldum Arzhaana A. ,   Novosibirsk State Technical University, Lomovsky Igor O. ,   Institute of Solid State Chemistry and Mechanochemistry of the Siberian Branch of the Russian Academy of Sciences
Published: August 2024

The paper presents the implementation of non-waste technologies into food production at food industry and catering enterprises on the example of the production of desserts with the use of buckwheat husk as secondary raw materials. The use of secondary raw materials as food ingredients is aimed at reducing unused and non-recyclable waste generated during the processing of grain raw materials into groats and flour. The husk yield depends on the buckwheat variety, growing conditions and other factors and averages from 14 to 30 %. Despite the high content of biologically active substances in the husk and its high availability, its use in food production is limited. The formulations and technologies for the desserts with different contents of buckwheat husk powder were developed and substantiated in the present research. For the use as a food additive, buckwheat husk was processed into the form of a fine mechanically activated powder. Buckwheat husk powder was introduced into the chocolate-nut paste formulation in the amount of 10 %, 20 %, and 50 % of cocoa powder. The dessert samples were evaluated on their sensory characteristics and nutritional value. It was found that the use of buckwheat husk powder in the chocolate-nut paste formulation has a positive effect on its sensory characteristics, among which the aroma harmony and saturation, as well as the taste harmony, stand out. The dietary fiber, calcium, magnesium and iron content in 100 g of the dessert sample was above 15 % from the adequate level of their daily norm. Thus, the developed dessert formulation based on chocolate-nut paste with buckwheat husk has high sensory characteristics and increased nutritional value with functional properties and can be recommended for production and sale at catering enterprises.
Representation of space in pre-cinema moving image devices
Authors: Türkmen Anday
Published: August 2024

The aim of this research is to establish a dialogue between moving image devices, considered as precursors of cinema, and the representation of space in order to evaluate the physical orientations of inventors who transformed their spatial searches into cinematic organisation. This study examines the experimental environment created by cinema art for space through moving image devices. It is focused on two research questions: ‘The integration of space representation in pre-cinema moving image devices’ and ‘The effect of space representation on visual narrative in pre-cinema moving image devices’. The study employed a qualitative research design and the literature review method to answer the research questions. The research data was analysed using descriptive content analysis. Based on the analysis, it can be inferred that pre-cinema moving image devices invented between 1558-1834 utilised figurative representations in visual narratives. The representation of space was first introduced in the visual narratives of the Stereoscope, invented by Wheatstone in 1838. Moving image devices invented between 1880-1895 established a strong relationship with the representation of space. However, the fact that the research was collected from fourteen different moving image devices invented in 1558 and later is considered to be one of the major methodological limitations of this study. The limited sample size weakens the possibility of generalising the findings and negatively affects the external validity of the research. In order to overcome the problem of low external validity and to ensure that the data obtained from the study can represent the study population, it is recommended that new studies be planned that include different pre-cinema moving image devices.
Alexandre Tansman’ın gitar müziklerindeki eklektisizm üzerine bir inceleme; Scriabin'in teması üzerine varyasyonlar örneği
Authors: Birgül Hale , Böllü Oksana
Published: August 2024

Alexandre Tansman’ın gitar müzikleri bir enstrümanın yüzyıllar içinde gelişen repertuvarının farklı yüzlerine sahip çeşitli stillerin hakim olduğu müziklerdir. Bu özelliklerinin teorik ve pratik olarak incelenmesi icracıların anlatım derinliği kazanması ve yaratıcı bir performansın süreçlerine katkısı bakımından önemlidir. Bu çalışmada Tansman’ın tema ve varyasyon biçiminde yazdığı gitar müziği örneği katmanlı dili ve yapısı bakımdan ele alınacak, bestecinin gitar yazısına yaklaşımı araştırılacaktır.
First species of the genus Plaxiphora Gray, 1847 (Mollusca: Polyplacophora) from the Paleocene of Europe
Authors: Sirenko B.I. , Dell’Angelo B.
Published: August 2024

The first species of the genus Plaxiphora from the Paleocene of Ukraine is described. The characteristic features of Plaxiphora luzanovkae sp. nov. are the strongly increasing size of tegmentum granules toward the edge of the valve, a large number of micraesthetes on these granules, and a random arrangement of the granules. Since the predominant occurrence of the species of the genus is in the Southern Hemisphere, with almost half found in New Zealand and Australia, it is likely that the first species of the genus originated during the final disintegration of Gondwana.
NEW POTATO VARIETIES FOR IRRIGATION CULTIVATION IN THE LOWER VOLGA REGION
Authors:   All-Russian Research Institute of Irrigated Agriculture – branch of the Federal Scientific Center of Hydraulic Engineering and Land Reclamation named after A. N. Kostyakov, Volgograd, Russian Federation, Novikov Alexey A. , Rodin Konstantin A. ,   All-Russian Research Institute of Irrigated Agriculture – branch of the Federal Scientific Center of Hydraulic Engineering and Land Reclamation named after A. N. Kostyakov, Volgograd, Russian Federation
Published: August 2024

Purpose: to conduct an environmental-geographical test of new highly productive potato varieties of domestic and foreign selection during sprinkling under conditions of hydrothermal tension in the Lower Volga region. Materials and methods. Ecological testing of new highly productive 19 potato varieties and hybrids of domestic and foreign breeding was carried out at the experimental site of the All-Russian Research Institute of Irrigated Agriculture in 2022–2023. The studies were conducted in accordance with the requirements of generally accepted methods. Results. The results of the study on the selection and testing of potato varieties showed that the maximum amount of above-ground mass of the studied potato varieties was formed in the first decade of August, the maximum growth of tops was noted in the Kupets variety and hybrid 16.18-2, 750 and 700 g respectively. The Vega, Luck, Healer, Elixir, Gourmet varieties and hybrid 45.82-12 formed the vegetative mass from 500 to 630 g. Other varieties were unable to form a powerful vegetative mass. The Gulliver variety is characterized by the highest productivity of the studied potato varieties – 4.3 t/ha. The minimum potato tubers yield was obtained in the Lubava variety, which amounted to 15.6 t/ha. The formed potato tubers yield of other varieties and hybrids ranged from 18.7 to 34.0 t/ha. Conclusions. As a result of the conducted research, results were obtained on the patterns of tubers yield formation of 17 varieties and 2 potato hybrids undergoing environmental testing. The yield of varieties and hybrids of domestic and foreign breeding ranged from 15.6 to 41.3 t/ha, however, such varieties as Gulliver, Luck and Darenka, Red Scarlett, Colombo, Queen Anna and hybrids with yields above 30 t/ha should be highlighted.
PERENNIAL LEGUMINOUS GRASSES FOR IRRIGATION ARE A GUARANTEE OF SUSTAINABLE FEED PRODUCTION IN THE LOWER VOLGA REGION
Authors:   All-Russian Research Institute of Irrigated Agriculture – branch of the Federal Scientific Center for Hydraulic Engineering and Land Reclamation named after A. N. Kostyakov, Volgograd, Russian Federation, Burtseva Natalya I. , Molokantseva Elena I. ,   All-Russian Research Institute of Irrigated Agriculture – branch of the Federal Scientific Center for Hydraulic Engineering and Land Reclamation named after A. N. Kostyakov, Volgograd, Russian Federation, Bahtygaliev Ergali S. ,   All-Russian Research Institute of Irrigated Agriculture – branch of the Federal Scientific Center for Hydraulic Engineering and Land Reclamation named after A. N. Kostyakov, Volgograd, Russian Federation, Ivina Irina P. ,   All-Russian Research Institute of Irrigated Agriculture – branch of the Federal Scientific Center for Hydraulic Engineering and Land Reclamation named after A. N. Kostyakov, Volgograd, Russian Federation
Published: August 2024

Purpose: to develop rational combinations of species and varieties of perennial leguminous grasses, soil water and nutrient regimes, which will contribute to obtaining stable fodder yields with high levels of protein and energy content. Materials and methods. Research is being carried out on perennial leguminous grasses on the experimental field of the institute. The experiment is three-factor and includes three options for maintaining the pre-irrigation soil moisture limit (60, 70 and 80 % of the lowest moisture capacity), three options for the soil nutritional regime (NPK₁, NPK₂ and control – without fertilizers), eight types of legumes are studied according to the third factor. The generally accepted experimental methods were used when setting up experiments and conducting research. Results. In the full germination phase there were from 294 to 386 plants of grass species per 1 sq. m. Their height before harvesting varied according to the experimental variants from 0.60 to 1.01 m in the first cutting, from 0.38 to 0.94 m in the second and from 0.25 to 0.66 m in the third cutting. The grass stand total water consumption in the year of seeding was 4.2–4.7 thous. cub. m/ha, increasing in subsequent years to 4.8–5.7 thous. cub. m/ha. The soil water regime and fertilizers had a significant impact on crop yield. In control options with a pre-irrigation limit of 60 % of the lowest moisture capacity, the green mass yield in the second year was 26.6–40.9 t/ha. With improved soil nutrition and good water supply, the yield increased to 48.2–87.8 t/ha. Sainfoin and blue-hybrid and variegated alfalfa plants responded to the improved growing conditions most actively; 54–88 t/ha of green mass were gathered from these sites during the season. Conclusions. Selection of optimal combinations of soil water and nutrient regimes, as well as the new promising perennial leguminous grasses species and varieties introduction into the field feed production in the Lower Volga region will ensure high and stable yields of fodder rich in energy and nutrients.
THE EFFECT OF PRE-SOWING INOCULATION OF SEEDS AND FOLIAR APPLICATION OF DRUGS ON THE PRODUCTIVITY AND QUALITY OF THE SOYBEAN GRAIN UNDER SPRINKLING IRRIGATION IN THE LOWER VOLGA REGION
Authors:   All-Russian Research Institute of Irrigated Agriculture – branch of the Federal Scientific Center of Hydraulic Engineering and Land Reclamation named after A. N. Kostyakov, Volgograd, Russian Federation, Agapova Svetlana A. , Moskvichev Alexander Yu. ,   Volgograd State Agrarian University, Volgograd, Russian Federation
Published: August 2024

Purpose: to determine the effect of pre-sowing seed treatment and foliar application of drugs on the productivity and quality of the resulting soybean grain at various water availability under irrigation. The use of a biological preparation as an, inoculant which contributed to the growth of the necessary nodule bacteria on the root system of a given crop and, as a result, carried out the symbiosis of a legume plant, for the assimilation of nitrogen from the air and its conversion into a mineral compound in the soil. Materials and methods. Studies of this technique were conducted on light chestnut soils of the Volgograd region with a medium-ripened variety of own selection Volgogradka 2, bred by the All-Russian Research Institute of Irrigated Agriculture. The laying of experiments and related observations were carried out according to generally accepted methods for two years 2022–2023 on the lands of the All-Russian Research Institute of Irrigated Agriculture (experimental station “Irrigated”, Vodny settlement, Volgograd). Results. The obtained data prove the advantage of pre-sowing inoculation of seeds under different water regimes of this crop. At the same time, the increase in the yield of soybean grain, depending on such pre-sowing treatment, exceeded the control option by 0.40 t/ha under the water regime of 70-80-70 % the lowest moisture capacity and 0.54 t/ha not lower than 80% the lowest moisture capacity. Conclusions. In the conducted studies, the best option proved to be the option with a pre-watering soil moisture threshold of 80% the lowest moisture capacity in moisture layers of 0.4 and 0.6 m and pre-sowing inoculation of seeds in combination with leaf spraying with preparations of various origins, which contributed to a maximum yield of 3.91 t/ha and a profitability level of 242.10 %.
Law of earthquake productivity in the Olami‒Feder‒Christensen‒Zhurkov model
Authors: Cherepantsev A. S. , Smirnov V. B.
Published: August 2024

The generalized cellular model based on the of Olami‒Feder‒Christensen cellular automaton model and modified by the allowance for the lifetime of the material on the basis of the kinetic concept for strength of solids by Academician S.N. Zhurkov is used to model and clarify the nature of the statistical law of earthquake productivity. The modified model is named Olami‒Feder‒Christensen‒Zhurkov model (OFCZ). The OFCZ model implements the main statistical regularities of seismicity: the Gutenberg‒Richter and Omori‒Utsu laws, the Bath’s law, fractal geometry of seismicity, and the law of earthquake productivity. It is shown that the clustering of model events (analogs of earthquakes), corresponding to the law of earthquake productivity, is due to the kinetic component of the OFCZ model. The productivity dependences on material strength and medium temperature are obtained. The influence of the Zhurkov parameter and the cell coupling parameter in the cellular model (the dissipativity of the model) on the productivity is considered. It is shown that the revealed dependences of productivity on strength and temperature are consistent with the empirical data.
Relative paleointensity of geomagnetic field during the last 9000 years estimated by the pseudo Thellier method from the bottom sediments of Lake Shira, Northern Khakassia
Authors: Kuzina D. M. , Shcherbakov V. P. , Salnaia N. V. , Yusupova A. R. , Li H-Ch. , Nurgaliev D. K.
Published: August 2024

The results of rock magnetic studies and determination of relative paleointensity from sediments of Lake Shira, Khakassia, are presented. The NRMcarrier minerals were determined from the hysteresis parameters, thermomagnetic and X-ray diffraction (XRD) analyses. The age of the sediments was determined by radiocarbon dating. According to these measurements, the column spans about 9100 years. The qualitative determinations of relative paleointensity were obtained from linear segments of the pseudo-Arai–Nagata diagrams. The quality of the determinations was evaluated by the following criteria: number of points used to calculate the slope; quality criterion (q), fraction ofNRMdestroyed in the paleointensity determination interval, and relative paleointensity determination error (σ). According to rock magnetic studies and XRD analysis, the magnetization carriers are represented mainly by single-domain and pseudo-single-domain magnetite and hematite. The comparison of the obtained series of relative paleointensity data with both the model paleointensity values calculated for Shira coordinates from various models (CALS10K.1b [Korte et al., 2011], PFM9k.1 [Nilsson et al., 2014], HFM.OL1.AL1, CALS10k.2 ARCH10k.1 [Constable et al., 2016]) and with absolute paleointensity, as well as the aggregate results of the studies on sedimentary and igneous rocks and on archaeomagnetic objects has shown that these data are in good agreement with each other and have common trends. This provides a rationale for using this methodology to determine paleointensity from sediments of modern lakes using the pseudo-Thellier method.
A new approach to the synthesis of Anti-Reverse Cap Analog (ARCA) 2mGpppG
Authors: Kayushin A. L. , Antonov K. V. , Dorofeeva E. V. , Berzina M. Y. , Arnautova A. O. , Prohorenko I. A. , Miroshnikov A. I. , Konstantinova I. D.
Published: August 2024

A new approach to the synthesis of Anti-Reverse Cap Analog (ARCA) of the classical structure – dimethylated guanosine dinucleotide 2mGpppG is proposed. The classical approach to obtaining consists in condensation of activated 5′-diphosphate of 7,3′-O-dimethylguanosine with 5′-guanosine monophosphate. We suggest to use a commercially available 3′-O-methylguanosine for the synthesis of 5′-monophosphate of dimethylated guanosine only, and to use an activated 5′-guanosine diphosphate in the condensation. The conditions of 3′-O-methylguanosine phosphorylation were determined to avoid the formation of a side product 3′-O-methyl-5′-deoxy-5′-chloroguanosine-3′-phosphate. ARCA was synthesized with a high yield (89% at the condensation stage). Our approach to the synthesis is easily scaled and can be used for a preparative synthesis of ARCA (several grams).
СУТНІСТЬ ТА РОЛЬ ДЕРЖАВНИХ ФІНАНСІВ У РЕАЛІЗАЦІЇ СОЦІАЛЬНО – ЕКОНОМІЧНОЇ ПОЛІТИКИ
Authors: ГЛУЩЕНКО Ольга , ШВАЙКО Маріанна , СВІЧКАРЬ Владислав
Published: August 2024

У статті проведено аналіз теоретичних концепцій та практики функціонування державних фінансів як України, так і розвинених зарубіжних країн, який показує, що в умовах ринкової економіки держава бере на себе зобов’язання по вирішенню тих завдань, які не можуть бути вирішені приватним сектором, або вирішуються неефективно.
Метою статті є дослідження сучасних тенденцій державних фінансів та їх ролі у реалізації соціально – економічної політики України.
Загальнодержавні фінанси формують фінансову базу діяльності вищих органів державної влади та управління. Вони призначені для забезпечення потреб суспільства, які мають загальнонаціональний характер і відображають інтереси всієї держави. Вони є інструментом впливу на  соціально-економічний розвиток країни. За допомогою державних фінансів здійснюється розподіл та перерозподіл ВВП між окремими регіонами країни та галузями економіки з метою їх збалансованого розвитку. Таким чином, загальнодержавні фінанси сприяють оптимізації територіального та галузевого розвитку країни.
В статті визначено, що держава коригує нездатність ринку щодо вирішення певних завдань, надаючи суспільні блага та здійснюючи заходи проти негативних зовнішніх впливів. У разі неякісної конкуренції держава проводить політику захисту споживача, організовуючи надання відповідної інформації чи втручаючись у процеси формування цін приватними виробниками монополістами. Тому державний сектор є необхідним для того, щоб суспільство залишалося життєздатним.
Deep learning-based control of electric automobile charging with an emphasis on vehicle-to-grid connectivity and rapid charging
Authors: Rastogi Ajay , Haripriya V. , Sahoo Girija Shankar , Srivastava Pulkit
Published: August 2024

Electric vehicle (EV) charging increases battery power. Vehicle-to-grid (V2G) connectivity and rapid charging emphasize car connectivity with the power infrastructure as well as fast recharge, improving grid interaction. The present research provides an extensive system for classifying and analyzing datasets related to EV charging. The initial phase in the work is gathering a dataset from Kaggle that includes 3395 EV charging sessions. The dataset includes pertinent information on 85 EV drivers who are enrolled in a workplace charging program at 25 different sites, including session dates, durations and energy costs. Preprocessing using Z-scores normalization as well as feature extracted using Speeded-Up Robust Features (SURF) for representation and to ensure uniform properties. The use of a cloud-based route optimization system to build the Hierarchical Eco-Driving Strategy - Adaptive K-Nearest Neighbors (HEDS-AKNN) technique for data classification and monitoring vehicle velocity profiles. We compare the efficacy of the HEDS-AKNN algorithm to other machine learning approaches by computing major performance measures. Particularly, the suggested HEDS-AKNN performs better than the current techniques in terms of accuracy, precision, R-square (R2), mean absolute error (MAE) and root mean squared error (RMSE). In the overall setting of EV charging, this study offers an effective foundation for intelligent eco-driving tactics and categorization methods.
Enhancing resource allocation for power sharing in cognitive radio communication networks using ensemble moth-flame optimized dynamic recurrent neural networks
Authors: Yadav Savita , Shah Pradeep Kumar , Kumar Sowmiya , Singh Anjali
Published: August 2024

Wireless data transmission networks are radio communication networks (RCN). These networks allow radios as well as phones to communicate, exchange data and calls across radio waves. Broadcasting, emergency services and mobile telecommunications are among the numerous industries that use RCN's flexibility and ease. Our proposed method, Ensemble Moth-Flame Optimized Dynamic Recurrent Neural Network (EMFO-DRNN), addresses the challenges inherent in DNN-based systems, maximizing power distribution, minimizing interference and optimizing spectrum utilization. This solution enables adaptive channel selection in real-time, catering to dynamic conditions and user demands in cognitive radio communication networks. We use the radio wave dataset in our research. We preprocessed using z-score normalization and employed the Fast Fourier Transform (FFT) for feature extraction to develop the EMFO-DRNN approach for improving the allocation of resources for power sharing in Cognitive Radio Communication Networks (CRCN). The EMFO-DRNN method has better performance metrics, such as high accuracy (92%), precision (95%), f1-score (96%) and recall (94%) in enhancing resource allocation for power sharing in CRCN. The proposed approach outperforms traditional methods in resource allocation due to its ensemble nature, which improves stability along with generalization and its Moth-Flame optimization aids in finding optimal solutions promptly.
Securing the IoT wireless communication system: A multi-access physical layer approach
Authors: Katariya Jitendra Kumar , Manjunath Honganur Raju , Malviya Ashwini , Kumar Ritesh
Published: August 2024

Wireless systems play an important role in the automation process in the industrial scene. An authentication technique with minimal complexity, small weight, and excellent security is urgently needed for this kind of system. These needs are satisfied by the development of physical layer authentication. However, the security of these devices has become a major concern due to the proliferation of Wireless Communication Systems (WCSs) in the Internet of Things (IoT) ecosystem. To address this issue, a Multi-Access Physical Layer (M-APL) can be used to secure IoT wireless communication systems. This approach involves using multiple access methods to improve the security of wireless communications. To improve the safety of the Mobile Edge Computing (MEC) technology, a newly developed IoT framework, we provide an M-APL approach authentication mechanism in this work. The proposed M-APL authentication methods are validated using datasets from two representative real-world industrial environments. When compared to the approaches currently used in global industrial settings, the proposed method had a higher authentication rate.
Deep learning models for the forecasting and regulation of global financial growth
Authors: Gangwar Jaipal , Joshi Anand , Joseph Vishakha , Chinnasamy Gopalakrishnan
Published: August 2024

The worldwide economic and financial systems' development, growth, and expansion arecalled global financial growth. It refers to global, national, and regional economic growth, trade, and investment. One can assess the global economy by tracking Gross Domestic Product (GDP), international trade, employment, and other financial variables. In this research, investigate the deep learning (DL) models for forecasting and regulating global financial growth. Governments and economists consider a global financial growth as a sign of prosperity, stability, and rising living standards. Accurately predicting and controlling the expansion of the global financial system requires an awareness of these interconnections and their possible effects. Bank runs and stock market crashes are the two examples of the kinds of crises that pressure the international financial system. The capacity to anticipate and manage these crises is critical for sustained global financial expansion. In this study, we suggested a Distributed Sailfish Optimized Hybrid Improved Artificial Neural Network (DSO-HIANN), which has shown promise in tackling issues in global financial growth. The research collected financial data. Here the logistics data is collected and preprocessed using z-score normalization. We employed Principal Component Analysis (PCA) method to extract data features in financial data. Governments, financial institutions, investors, and a politician requires an accurate financial growth forecasts. Our suggested approach, DSO-HIANN, outperformed than other existing methods in the context of f1-score (98.70), recall (98.80%), precision (98.02%), and accuracy (97.90%).Financial analysis that employs a DL algorithms has the potential to enhance accuracy and sophisticated when applied to the challenge of anticipating and managing global financial growth.
Enhancing agricultural sustainability through CNN-LSTM based land suitability assessment for improved production
Authors: Reddy L. Sudershan , Kumar Dinesh , Rastogi Ajay , Jain Kshipra
Published: August 2024

Agricultural sustainability is an important concern facing global population expansion and environmental challenges. Accurate land suitability evaluation is critical for ensuring efficient and effective land usage. The aim of this research is to assess the following framework that the Food and Agriculture Organization (FAO) developed, if the land in India is suitable for two key crops, namely maize and barley. Soil specimens and physical-chemical properties from 105 genetic soil profile layers are collected. Weather and landscape data were gathered. Deep learning (DL) techniques were used to map the two crops' land suitability classifications after computation. This study suggests a unique method for assessing land potential for increased agricultural output by Convolution Neural Networks-Long Short-Term Memory (CNN-LSTM) networks. The maps generated by the two ways showed significant disparities. Studies on rain-fed corn, for example, showed that DL-based land suitability maps were more accurate than those created using the traditional method. The outcomes demonstrated that when contrasting the CNN-LSTM method with the conventional methodology, the areas with classes C2 were higher and the areas with categories C1 were less projected. Rainfall during the flowering period, steep slopes, poor soil depth, high pH and a high gravel component were the research area's main drawbacks. Land development activities are recommended to boost productivity and build a sustainable agricultural system. This research contributes to balance farm expansion and environmental protection, supporting a sustainable and resilient agricultural system to fulfill the requirements of the world's rising population.
A novel swarm-intelligent based gated recurrent unit for classifying and diagnosing diabetes mellitus patients
Authors: Kumar Ajay , Parveen Suphiya , Reddy Eluri V. , Patel Devanshu J.
Published: August 2024

Diabetes mellitus (DM) is a prevalent and complicated chronic condition that poses significant challenges to accurate diagnosis and classification, both of which are essential for innovative ways to enhance patient treatment. Diabetes has several negative effects, including heart disease, neuropathy, renal issues, and visual issues. We introduce a new and efficient method in this study, the Dynamic Glowworm Swarm Optimization Fine-Tuned Gated Recurrent Unit (DGSO-FTGRU), for the diagnosis and classification of DM patients. After gathering the Pima Indian dataset, the data was preprocessed using sigmoid normalization. Sidmoid normalization is a helpful method for preparing patient data for diabetics. It helps create accurate and comprehensible models for diagnosis, risk assessment, and treatment planning. Finding significant qualities that influence diabetes is made easier with the use of the DGSO-FTGRU, which provides valuable information on the importance of different features. By enabling quicker and more personalized interventions, this innovative technique delivers considerable advances in the control of diabetes and enhances patient health. The results of the study examined a number of variables, including recall (96.32%), accuracy (95.5%), specificity (92.43%), f-measures (95.41%), and precision (97.28%). In addition to providing practical medical solutions, the DGSO-FTGRU safeguards privacy laws and encourages patient data protection and confidentiality.
Analysis of the effects of randomized controlled trials of therapeutic approaches to improving mental health and happiness
Authors: Sanjana  , Varma Pooja , Patel Geetika M. , Homavazir Zuleika , Mishra Mukul
Published: August 2024

Our objective was to extend past research by carefully selecting trials, incorporating novel moderators, focusing on adult nonclinical populations, well-being increases, and contrasting the effects of therapies focusing on subjective, psychological, or a combination of the well-being. Unlike earlier studies, we contrasted the impact of conventional therapy and technology-assisted therapies on a variety of outcomes. With a total of 16,085 participants, they included 68 randomized controlled studies of nonclinical categories. The data showed that well-being is improved by efficient psychological therapy. The impact size (Cohen's d) was reduced to 0.06 for psychological well-being, 0.22 for subjective well-being, and 0.43 overall when psychological and emotional well-being were considered.The immediate effects of longer interventions were more significant than those of shorter ones, and traditional methods-based interventions outperformed technology-assisted ones. Age had a negative correlation with short-term results, but when long-term effects were taken into account, the correlation turned positive. Overall, we discovered proof of the therapies' long-term impacts.
Comparative analysis of semantic segmentation and multi-boosted faster R-CNN for robotic tool detection in diabetes patient care
Authors: Patel Geetika M. , Sharma Chinky , Asha K. , Verma Priti Singh
Published: August 2024

Diabetes, a common chronic illness, need meticulous patient care and treatment, which frequently necessitates advanced robotic help. The identification of robotic tools is critical in guaranteeing precise and safe medical procedures. With the growing use of robots in healthcare, reliable identification of instruments inside a patient care setting is critical for allowing smooth and efficient medical procedures. We used a Multi-Boosted Faster-Region-based Convolutional Neural Network (MBF-RCNN) to estimate Robotic Tool Detection in Diabetes Patient Care in the present research. Semantic Segmentation is a machine learning methodology centered on classifying pictures pixel-by-pixel, whereas Multi-Boosted Faster R-CNN recognizes objects using a variety of boosting strategies. Decimal Scaling Normalization is used during the preprocessing step to optimize the input data for both procedures. The effectiveness of both approaches is improved by doing extraction of features using Linear Discriminant Analysis (LDA) to find key trends in the information that is provided.The Multi-Boosted Faster-Region-based Convolutional Neural Network (MBF-RCNN) is an improved variation of the Faster R-CNN design that uses the boosting approach to improve object identification performance.Accuracy, Precision, Recall, F1-score, and the Receiver Operating Characteristic (ROC) curve among the assessment metrics used. The findings show that the suggested approaches are effective in identifying and localizing robotic equipment, which is critical for effective treatments in controlling diabetes.This research promotes computer vision applications in healthcare, particularly in the care of diabetic patients. It assesses the efficiency and dependability of Semantic Segmentation and MBF-RCNN for robotic tool identification, opening the way for more efficient and dependable automation for healthcare contexts.
Pemanfaatan Media Sosial dalam Kampanye Politik Menjelang Pemilu 2024: Studi Kasus tentang Akun Media Sosial Partai Politik dan Politisi
Authors: Fahruji Deden , Fahrudin Atef
Published: August 2024

This research aims to uncover the use of social media by political parties and politicians leading up to the 2024 Elections using qualitative research methods and a case study approach. In the context of the evolving digital era, social media has become a primary tool in modern political campaigns. This study analyzes how major political parties and politicians utilize social media platforms such as Facebook, Twitter, Instagram, and TikTok to establish their presence, engage with voters, and promote their political messages. Through the collection and qualitative analysis of data, including social media content and observations, this research provides insights into the strategies of using social media in political campaigns and their impact on the democratic process. The research findings indicate that 18 National Political Parties and politicians who are potential presidential candidates in the 2024 Elections have actively utilized social media platforms like Facebook, Instagram, Twitter, and TikTok in their political campaigns. The Gerindra Party dominated in having the highest number of followers on Facebook, Instagram, and Twitter, while the Indonesian Democratic Party of Struggle (PDI Perjuangan) led in TikTok. Additionally, Prabowo Subianto had the most followers on Facebook, Ganjar Pranowo on Instagram, Anies Baswedan on Twitter, and Ganjar Pranowo maintained the lead on TikTok. These findings reflect the varying strategies employed by each candidate in using social media for their political communication in the lead-up to the 2024 Elections.
Analisis Gaya Komunikasi dan Gaya Kepemimpinan Dua Presiden Legendaris Indonesia
Authors: Mudjiyanto Bambang , Sukmaranti Galuh , Lusianawati Hayu , Launa
Published: August 2024

ABSTRACT
Each country leader has a different communication style and leadership style. These two styles certainly do not just aim to meet the effectiveness targets of a president's communication with his people. However, these two styles must be used as indicators of the communication capacity and leadership ability of a president who is able to maintain the existence of the country and the continuity of the nation's development. This qualitative study using descriptive analysis methods based on literature and document studies tries to analyze the communication and leadership styles of President Soekarno and President Soeharto. Through searching a number of literature related to the communication styles and leadership styles of the two legendary national figures, the results of the study show: Soekarno's communication style was characterized by low-context, rhetorical, inspirational, optimistic, innovative, transformational, daring to take risks and his leadership character was characterized as charismatic, authoritative, visionary, imaginative, open, and diplomatic. Meanwhile, Soeharto's communication style is characterized by high-context, implicit, connotative, vague (even hidden), unpredictable, difficult to understand, not to the point, wordless with a leadership character that is charismatic, authoritative, dominant, delegative, transformational, visionary, transactional, situational, authoritarian, relatively closed, and anti-criticism.
Keywords: Communication style, leadership style, Soekarno, Soeharto
Strategi Komunikasi Promosi @DesaWisataHanjeli Melalui Instagram
Authors: Sri Rahayu Hilda , Yulianti Elis , Sandi Yuda Mulfi
Published: August 2024

The presence of social media cannot be separated from Indonesian society, namely with the emergence of Instagram accounts carried out as a means of tourism promotion, promotional communication strategies. influencers and content creators use Instagram social media as a means of promotion, one of which is Instagram social media @desawisatahanjeli as a means of promoting tourism in Sukabumi Regency. Based on the above background, the focus of the problem of this research is how the Instagram social media communication strategy @desawisatahanjeli in finding tourists through Instagram media promotion. This research is based on an innovative approach to tourism promotion communication strategies, namely Instagram social media. A qualitative approach will be used in this research using a case study research method. From the research findings, the use of Instagram social media as a means of promoting tourism in Sukabumi Regency uses various Instagram features such as: photo titles or captions, hashtags, comments, mentions. Furthermore, from the findings of observations of Instagram informants and interviews, @desawisatahanjeli is very effective in promoting tourism in Sukabumi District, as shown by the testimonials of visitors through the captions they uploaded on their personal social media.
Analisis Strategi Komunikasi Pokdarwis dalam Mengembangkan Kampung Ekowisata Ciwaluh Di Desa Wates Jaya
Authors: Rifky Muhammad , Fauzan Rifky , Syahrial Fariz Oktavian
Published: August 2024

Penelitian ini bertujuan untuk menganalisis strategi komunikasi yang dilakukan oleh Kelompok Sadar Wisata (Pokdarwis) dalam mengembangkan Kampung Ekowisata Ciwaluh di Desa Wates Jaya, Kabupaten Bogor. Penelitian ini menggunakan metode deskriptif kualitatif dengan pendekatan studi kasus. Penelitian ini dilaksanakan di Kampung Ekowisata Ciwaluh, Desa Wates Jaya. Teknik pengambilan data yang digunakan adalah wawancara mendalam, observasi, dan studi dokumentasi. Hasil penelitian ini menunjukkan bahwa Pokdarwis Ciwaluh menggunakan strategi komunikasi yang relevan dan fleksibel dalam mempromosikan Kampung Ekowisata Ciwaluh serta menjalin kerjasama dengan berbagai pihak. Konsep pengembangan yang diterapkan adalah memanfaatkan sumber daya alam dan melibatkan masyarakat lokal. Namun, tantangan yang dihadapi adalah kurangnya dukungan dari pemerintah desa. Kesimpulannya, Pokdarwis Ciwaluh perlu meningkatkan strategi komunikasi dan membangun hubungan yang lebih baik dengan pemerintah desa untuk mengembangkan Kampung Ekowisata Ciwaluh secara optimal.
 
Kata-kata Kunci: Desa Wisata; Ekowisata; Komunikasi; Partisipasi Masyarakat; Strategi Komunikasi; Wisata Alam.