WAVELET ANALYSIS OF PARAMETERS OF AUTOMATIC CONTROL SYSTEMS OF THE AIRCRAFT ENGINES by S. V. Enchev, S. S. Tovkach

“…The article deals with wavelet analysis of signals received from the sensors of electronic control systems of aircraft gas turbine engines, which will significantly improve the diagnostics of engine operating condition to prevent failure and ultimately to reduce the economic costs. A block diagram of automatic control of aircraft gas turbine engine is presented.…”
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ON NEW APPROACH TO ENVIRONMENTAL DAMAGES ESTIMATION UNDER SUSTAINABLE DEVELOPMENT CONCEPT by Vladimir N. Kurdyukov

“…The approach to the emissions damage evaluation based on the assessment of costs for forming the ecosystem elements, which have a population carrying capacity sufficient for preventing adverse consequences for the population health, natural and tangible objects, is offered.…”
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Yield Mapping Hardware Components for Grains and Cotton Using On-the-Go Monitoring Systems by Rebecca Barocco, Won Suk Daniel Lee, Garret Hortman

“… This 12-page fact sheet discusses yield mapping benefits, grain yield flow sensors, grain moisture sensors, cotton yield flow sensors, differential GNSS receivers, ground speed sensors, header position sensors, computer displays, yield calculation and calibration, and costs of yield mapping hardware components. …”
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Safeguarding Mountain Pastoralism through an Alternative Insurance Mechanism by Susmita Satyal, Rajesh K. Rai, Srijana Joshi, Tashi Dorji, Basant Pant

“…High mortality rate of livestock is one of the main causes of increased costs of animal husbandry in the high mountains as they do not have adequate veterinary facilities and livestock are among the main prey of wild predators. …”
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High-tech agricultural tools as a determinant of dynamic rationalization of business processes in Russian agriculture by Moroz Oksana, Medvedsky Dmitriy

“…Innovative and digital activities in the agro-industrial sector contribute to the efficiency of management processes, maximizing productivity, accelerating capital turnover, optimizing material costs, transparency of mechanisms for providing support from the state, as well as minimizing the costs of farmers for the preparation of reporting documents. …”
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Incremental Closed Frequent Itemsets Mining-Based Approach Using Maximal Candidates by Mohammed A. Al-Zeiadi, Basheer M. Al-Maqaleh

“…This approach minimizes computational costs by reducing the generation of candidate itemsets through the discovery of closed itemsets using maximal candidates, rather than generating all frequent itemsets. …”
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Evolutionary Dynamics and Policy Coordination in the Vehicle–Grid Interaction Market: A Tripartite Evolutionary Game Analysis by Qin Shao, Ying Lyu, Jian Cao

“…Key findings include the following: (1) The system exhibits five stable equilibrium points, corresponding to three distinct developmental phases of the VGI market: disordered charging (V0G), unidirectional VGI (V1G), and bidirectional VGI (V2G). (2) Peak–valley price differences are the primary driver for transitioning from V0G to V1G. (3) EV aggregators’ willingness to adopt V2G is influenced by upgrade costs, while local governments’ subsidy strategies depend on peak-shaving benefits and regulatory costs. (4) Increasing the subsidy differential between V1G and V2G accelerates market evolution toward V2G. …”
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Emissions from Wood Stoves and Health Impacts Assessments - a Critical Review by Oyvind Skreiberg

“…It would be very valuable to be able to accurately quantify the contribution of a specific emission source or emission producing technology to specific health impacts to assess corresponding health costs and the effect of technology improvements on the reduction of these costs and the improvement of human health. …”
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Clinical and economic impact of antibiotic resistance in developing countries: A systematic review and meta-analysis. by Raspail Carrel Founou, Luria Leslie Founou, Sabiha Yusuf Essack

“…Eight studies showed that ABR, and especially antibiotic-resistant ESKAPE bacteria significantly increased health care costs.<h4>Conclusion</h4>ABR is associated with a high mortality risk and increased economic costs with ESKAPE pathogens implicated as the main cause of increased mortality. …”
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A Focus on Important Samples for Out-of-Distribution Detection by Jiaqi Wan, Guoliang Wen, Guangming Sun, Yuntian Zhu, Zhaohui Hu

“…Previous methods required a large amount of finely labeled OOD data for model training, which is costly or performed poorly in open-world scenarios. …”
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Generic Architecture for Self-Organized Adaptive Platform System of Systems by Miri Sitton, Rozi Alon, Yoram Reich

“…Results indicate that early adoption of this generic architecture can significantly reduce design and redesign costs, prevent over-specification, and promote lifecycle adaptability across various platform types—including land, air, and sea systems. …”
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A Multi-Year Scenario-Based Transmission Expansion Planning Model Incorporating Available Transfer Capability by Tohid Akbari, Saeed Zolfaghari Moghaddam

“…The objective function in the TEP model is to minimize the sum of investment costs (IC) and the expected operation costs (OC). …”
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Long Short-Term Memory-Based Computerized Numerical Control Machining Center Failure Prediction Model by Jintak Choi, Zuobin Xiong, Kyungtae Kang

“…The anomaly detection and predictive maintenance functions are essential for improving efficiency and reducing time and costs. This study aims to strengthen service competitiveness by reducing quality assurance costs and implementing AI-based predictive maintenance services, as well as establishing a predictive maintenance system for CNC manufacturing equipment. …”
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Trends, opportunities, and challenges of artificial intelligence in elementary education - A systematic literature review by Furtasan Ali Yusuf

“…The study concludes that AI in primary education has the potential to enhance learning quality through AR, VR, LMS, and Adaptive Learning, yet still faces challenges related to technological disparities, costs, infrastructure, and teacher training. This study offers insights for policymakers and educators to strengthen teacher competence, improve infrastructure, and ensure equitable AI access in schools. …”
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An Optimal Bidding Strategy of Power and Gas to Operate a Microgrid in Energy Market by Nahia Diez, Ivan Loya

“…Microgrids could lower their costs in the day-ahead market through bidding in a smart distribution network. …”
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Universal Keyword Classifier on Public Key Based Encrypted Multikeyword Fuzzy Search in Public Cloud by Shyamala Devi Munisamy, Arun Chokkalingam

“…While customers have no visibility on how their data is stored on service provider’s premises, it offers greater benefits in lowering infrastructure costs and delivering more flexibility and simplicity in managing private data. …”
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Soft wheat: quality of flour and grain, price by A. V. Alabushev, M. M. Kopus, T. S. Makarova

“…Consequently, the price of premium baking flour was formed not only due to its quality, but also according to the brand's popularity (“MAKFA”, “Pudov”), according to supply and demand, and it sometimes differs twofold e. g. “Petrovsky niva” costs 22.45 rubles per kg., “MAKFA” costs 42.90 rubles per kg.…”
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Intellectualization System for Information Resources Usability Testing by Irina Astachova, Yuliya Khitskova, Katerina Makoviy

“…The usability testing procedure is quite costly from both financial and time points of view. …”
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On Quick Switching System with Different Sampling Plans using Fuzzy Neutrosophic Weighted Poisson Distribution by Vennila J, Basker P, Kripa Josten, Prakash V.S

“…The present study provides a new sampling inspection approach to costly and destructive testing that involves the concept of neutrosophic and fuzzy logic in a quick switching system with a normal SSP and a tightened DSP as a reference plan using weighted poisson distribution as a baseline. …”
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Construction of Industrial Economic Management Decision Model Based on Three Parameter Interval Grey Numbers by Pao-Ching Lin, Tzu-Jung Wu, Jui-Chan Huang

“…In the application of industrial economic management datasets, the model increased the average profit margin of enterprises by 5.3% and reduced unit costs by an average of 13.3%, which was significantly better than other comparative models. …”
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