Some aspects of the impact of the State budget deficit on the Socio-economic development of Russia by I. V. Snimshchikova, K. E. Shamray

“…The consequences of increasing costs are determined. The negative impact of the development of inflationary processes on the level and quality of life of the population is presented. …”
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Effect of NPS and Zinc Fertilizer Rates on Growth and Yield of Onion (Allium cepa L.) at Shewa Robit, North Shewa, Ethiopia by Kelem Muluneh, Tiru Tesfa, Bizuayehu Desta

“…These constraints encompass poor soil fertility, inappropriate fertilizer usage, limited availability of improved varieties, disease and insect pests, and the high costs associated with commercial fertilizers. Among these limitations, improper fertilizer application amounts and types play a pivotal role in restricting onion production. …”
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Foundations Of Real-World Economics: What Every Economics Student Needs To Know by JOHN KOMLOS, IULIA MONICA OEHLER-ŞINCAI

“…With pointed arguments it is illustrated that economic policy is of crucial importance nowadays and its key goal should be people’s well-being and not economic growth at all costs. It is all-important to minimize anxiety, inequality, insecurity, pain, poverty, stress, unemployment as well as to maximize ethics, intellectual satisfaction, health, leisure time, social relationships, love, respect, and a moral life. …”
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Medium-Term Hourly Electricity Tariff Forecasting Using Ensemble Models by Matrenin P.V., Arestova A.Yu., Antonenkov D.V.

“…It could be used for electricity costs reduction by regulating the load curve. It was shown that the discrete models based on ensembles of logical rules give higher accuracy than models based on continu-ous and piecewise continuous functions, such as neural networks. …”
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Utilization of Heat from The Reactor's Outlet Stream in Formaldehyde Production to Reduce Energy Usage in The Heat Exchanger by Shelma Zulaika Putri, Shafa Chairunnisa, Ario Satria Nugraha

“…By analyzing and optimizing the utilization of this heat source, the paper aims to contribute to sustainable manufacturing practices by reducing overall energy requirements and operational costs in formaldehyde production facilities. The process modification was simulated using Aspen HYSYS and the comparison of net-energy between the basic and the modified process is calculated using the net-energy formula. …”
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Analysis of the Energy Efficiency of the Air Conditioning System Based on Absorption Refrigeration Machine with Connection of Heat Pump and Solar Collectors by Mereutsa E.V., Sukhikh A.A.

“…The significance of the obtained results lies in the fact that the use of a common storage tank and a combined heat exchanger (AHM generator / HPU heater) provides a significant increase in the coefficient of performance, a decrease in the metal consumption (reduction in costs) of the main equipment.…”
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DISTRIBUTED LEDGER AND ITS POTENTIAL APPLICATION by I. A. Belarev, A. S. Obaeva

“…The article is highly relevant as the technology is a perfect opportunity to develop the financial system in terms of reducing costs and improving efficiency. The authors suggest a few brief definitions of such terms as distributed ledger, block-chain, bitcoin and mining. …”
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African Index Medicus: Improving access to African health information by Mohamed Atani, Marie P. Kabore

“…There also remain the more basic constraints of costs, training, marketing and the low status of both research and publishing. …”
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Fatty acid composition of total lipids and phospholipids of muscular tissue and brain of rats under the impact of vibration by N. M. Kostyshyn, M. R. Grzegotsky, J. F. Rivis

“…These processes are caused by activation of self-defense mechanisms of the body under the conditions of deviations from stabilized physiological norm, since adaptation requires certain structural and energy costs. Increase in the relative quantity of saturated and monounsaturated fatty acids in phospholipids of muscles and brain and simultaneous reduction in concentration of polyunsaturated fatty acids are observed. …”
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Carbon dioxide injection for enhanced gas recovery and storage (reservoir simulation) by Chawarwan Khan, Robert Amin, Gary Madden

“…In addition, various CO2 costs involved in the CO2-EGR and storage were investigated to determine whether this technique is feasible in terms of the CO2 content in the production as a preparation stage to achieve the economic analysis for the model.…”
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Reimagining Knee Surgery: The Promises and Pitfalls of Augmented and Virtual Reality in Orthopedic Training and Preoperative Planning by Kyriakos Bekas, Alexandros Stamatopoulos, Ioannis Kechagias, Konstantinos Vamvakeros, Ioannis Bampis, Achilleas Boutsiadis

“…However, both modalities face limitations such as high costs, technical integration challenges, limited haptic feedback, and varying user adaptability. …”
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Tilapia disease surveillance and sampling plans for epidemiological surveys and monitoring: a review by Ricardo S. Raposo, Marina K.V.C. Delphino, Lucas P.O. Rezende, Fabiano J.F. Sant’Ana

“…In the Distrito Federal, the only federal unit in Brazil that has a surveillance plan for tilapia diseases, the models applied were defined based on risk-based surveillance strategies and sampling of symptomatic animals to adjust logistical/laboratory costs and increase the sensitivity of epidemiological surveys.…”
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Updating Categorical Soil Maps Using Limited Survey Data by Bayesian Markov Chain Cosimulation by Weidong Li, Chuanrong Zhang, Dipak K. Dey, Michael R. Willig

“…Updating categorical soil maps is necessary for providing current, higher-quality soil data to agricultural and environmental management but may not require a costly thorough field survey because latest legacy maps may only need limited corrections. …”
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Enhancing diabetes risk prediction through focal active learning and machine learning models. by Wangyouchen Zhang, Zhenhua Xia, Guoqing Cai, Junhao Wang, Xutao Dong

“…This method aims to overcome common challenges, such as poor performance on minority classes and limited generalization, by enabling more efficient data utilization and reducing labeling costs. The experimental results demonstrated that our approach significantly improved the evaluation metrics for diabetes risk prediction, achieving an accuracy of 97.41% and a recall rate of 94.70%, clearly outperforming traditional models that typically achieve 95% accuracy and 92% recall. …”
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Online platforms in the system of modern international digital trade by T. Sosnov, A. Pasko

“…At the present stage of the development of international trade, online platforms have a defining impact on its development, as new business models appear, on the basis of which it becomes possible to significantly reduce marginal costs and increase productivity. The relevance of the problems investigated in the article increases as the format of international trade changes, when in a recession, new tools are needed to raise the efficiency of export-import operations between countries. …”
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EXPENSE AND LOSSES OF PETROLEUM, OIL AND LUBRICANTS FOR MOBILE AGRICULTURAL MACHINERY by Z. A. Godzhaev, Yu. N. Sapyan, V. A. Kolos, M. I. Gorshkov

“…If a number of traktors in the fleet with the limit-exceeding service life is more than 60 percent, then the carrying costs for the equipment in good operating condition increases 1.8 times, the petroleum, oils and lubricants (POL) consumption rises 1.5 times. …”
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Does High-Speed Rail Promote Enterprises Productivity? Evidence from China by Xuehui Yang, Shanlang Lin, Jiaping Zhang, Minghua He

“…High-speed rail (HSR) is often claimed to bring different regions and cities closer together by shortening travel times, which can reduce the costs and increase enterprises productivity to promote a sustainable economy. …”
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Predicting software reuse using machine learning techniques-A case study on open-source Java software systems. by Matthew Yit Hang Yeow, Chun Yong Chong, Mei Kuan Lim, Yuen Yee Yen

“…Software reuse is an essential practice to increase efficiency and reduce costs in software production. Software reuse practices range from reusing artifacts, libraries, components, packages, and APIs. …”
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Research on Multi-Task BEV Perception Algorithm Based on LiDAR for Autonomous-Rail Rapid Trams by YAO Gang, LONG Teng, LI Cheng, YUAN Xiwen, LI Peijie, WANG Yuyi

“…This paper proposes a novel multi-task bird's-eye-view (BEV) perception algorithm based on LiDAR, taking into account the operational scenarios of autonomous-rail rapid trams and the implementation costs of perception solutions. This algorithm employs a deep learning approach and integrates point cloud object detection and semantic segmentation into a single multi-task network. …”
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A Collaborative Navigation Model Based on Multi-Sensor Fusion of Beidou and Binocular Vision for Complex Environments by Yongxiang Yang, Zhilong Yu

“…The innovative fusion approach enables unprecedented reliability for autonomous robot inspection in high-voltage environments, offering significant practical value in reducing human risk exposure, lowering maintenance costs, and improving inspection efficiency in power industry applications. …”
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