Investigating Safe and Economic Adjustment of Power Balance in Smart Grids Based on Integration of Renewable Energy by Hongyan Zhang

“…The aim is to discover the structures, procedures, and tools that will enhance the network's reliability and energy efficiency while simultaneously reducing installation costs and fortifying the network. The findings indicate that the interruptions in voltage, frequency, and power have been mitigated due to the dynamic simulations using the proposed method. …”
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Valuation of Biological Assets at Fair Value by A. O. Beryoza

“…Introduction of this standard leads to the formation of fundamentally new methodological bases of the accounting of agricultural activities based on the market value of assets because paragraphs 12–13 of this Standard states that during the initial and subsequent valuation of biological assets will be measured at their fair value fewer costs to selling. Thus, the need to allocate biological assets in the separate account-economic category, their reflection in the accounting at fair value by the provisions of IAS 41 has determined the relevance of the topic, goal, objectives and logic of the article.…”
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Clinical benefits and future directions of medium cut-off membranes in hemodialysis: a comprehensive review by Hyo Jin Kim, Sang Heon Song

“…They improve quality of life, reduce erythropoiesis-stimulating agent doses and resistance, lower hospitalization rates, and decrease overall healthcare costs. Currently, there is insufficient evidence regarding the effects of MCO membranes on cardiovascular diseases and mortality. …”
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Cognitive impairments in type 1 diabetes mellitus by Yu. V. Bykov, V. A. Baturin

“…This disorder is accompanied by numerous micro- and macrovascular complications that reduce children’s life expectancy and increase healthcare costs. Central nervous system (CNS) damage in children and adolescents with type 1 DM is a fairly common but poorly studied complication. …”
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Applications of density functional theory and machine learning in nanomaterials: A review by Nangamso Nathaniel Nyangiwe

“…In fact, the ML algorithm has built models based on data from DFT, which predicts with high accuracy the properties of materials at reduced computational costs to expand vast areas of emerging chemistries. …”
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Preliminary Sizing of a Vertical-Takeoff–Horizontal-Landing TSTO Launch Vehicle Using Multidisciplinary Analysis Optimization by Xiaoyu Xu, Xinrui Fang, Xiongqing Yu

“…The advantage of the VTHL TSTO vehicle is that the launch costs can be reduced significantly due to its reusable first stage. …”
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A Multibody Mathematical Model to Simulate the Dynamic Behavior of Aerial Work Platforms Using Python by Giacomo Cangi, Alessandro Angeletti, Massimiliano Palmieri, Filippo Cianetti

“…Understanding and knowing the extent of dynamic loads (forces and moments) acting on critical points of structures from the early stages of new product design allows companies to reduce product time-to-market and cut costs associated with physical validation tests. …”
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Comparing Nanofiltration and Ion Exchange for Reverse Osmosis Pretreatment in Industrial Water Treatment: A Techno-Economic Analysis by Harwin Harwin

“…Economically, NF generally incurred higher Total Annual Costs (TAC) at lower total hardness concentrations, while IX became costlier at higher concentrations. …”
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FeTT: Class-Incremental Learning with Feature Transformation Tuning by Sunyuan Qiang, Yanyan Liang

“…Moreover, feature transformation is employed to regulate the backbone representations, boosting the model’s adaptability and plasticity without additional training or parameter costs. Extensive experimental results and further feature channel activations discussion on CIL benchmarks across six datasets validate the superior performance of our proposed method.…”
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Reducing Uncertainty of Weak Supervised Signals via Mutual Information Techniques by Yichen Liu, Hanlin Feng, Xin Zhang

“…Weakly supervised learning (WSL) refers to training models using imperfect or noisy labels, which can significantly reduce the costs associated with manual labeling. However, the model performance may be affected by the uncertainty of weakly supervised signals (WSS). …”
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Optimization of the Financial Services Authority (OJK) as a Regulator and Supervisor of Insurance Related to the Issuance of Shipping Insurance Policy Guarantee Regulations to Supp... by Marihot Simanjuntak

“…Troubled insurance cases emphasize the need for policy guarantees to alleviate consumer burden and attract investment, though OJK's operational costs from the state budget may tighten supervision. …”
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Advancing wheat breeding in Ethiopia: Challenges and opportunities in breeding for nutrient use efficiency: A review by Tesfaye Geleta Aga

“…Improving NUE is essential for sustainable agriculture, reducing production costs, and minimizing environmental impact. Implementing best management practices and harnessing genetic diversity are crucial for enhancing NUE. …”
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REGIONAL SELF-SUFFICIENCY: CHALLENGES AND SOLUTIONS by N. Kh. Tokaev, M. Sh. Basnukaev

“…Tax autonomy to the extent granted to the regions ‘cannot cope’ with such restrictions; it results in setting additional budget targets towards reducing costs or attracting financing in the form of grants, subventions and subsidies. …”
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Optimal Sensor Placement for Stay Cable Damage Identification of Cable-Stayed Bridge under Uncertainty by Li-Qun Hou, Xue-Feng Zhao, Rui-Cong Han

“…Thus, placing a sensor on every stay cable of bridges for stay cable damage identification (SCDI) is costly and, in most cases, not necessary. Optimal sensor placement is a significant and critical issue for SCDI. …”
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Optimal High-Speed Railway Timetable by Stop Schedule Adjustment for Energy-Saving by Dingjun Chen, Sihan Li, Junjie Li, Shaoquan Ni, Xiaolong Liu

“…Timetable optimization techniques offer opportunity for saving energy and hence reducing operational costs for high-speed rail services. The existing energy-saving timetable optimization is mainly concentrated on the train running state adjustment and the running time redistribution between two stations. …”
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Theoretical aspects of the digitalization of production processes by F. F. Sharipov, Man Xu

“…In the first case, it is about low costs and high variability, in the other case, the life cycle of a product is beginning to shorten rapidly. …”
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The potential of utilizing food waste as pig feed in Sentani District, Jayapura Regency by Max Rumbrapuk, Sientje Daisy Rumetor, Evi W. Saragih

“…These findings highlight the potential of food waste to enhance feed sustainability, reduce costs, and support environmentally responsible livestock practices in rural Papua New Guinea. …”
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Intelligent IoT Surveillance and Instantaneous Management by Ying Huang, Yongmei Su, Shuanggui Lu

“…By deploying Deep Learning (DL) facilities close to customers who want them, latency and processing costs associated with transmitting data through the Cloud may be minimized. …”
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Modelagem do processo de desidratação de lodo anaeróbio em leitos de secagem simulados Anaerobic sludge dewatering process modeling in simulated drying beds by Sérgio R. A. Soares, Zanna M. R. de Matos, Ricardo S. Bernardes

“…<br>The employment of drying beds is an excellent option for dewatering of UASB reactor discarded sludge, because of their simple operation and low construction costs. This paper presents an anaerobic sludge dewatering process analysis of the most influential phenomenon based on drying beds simulation. …”
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Machine Learning based estimation of Chlorophyll and Flavonoid content in Bitter Leaf using Color and GLCM Texture Features by Retno Damayanti, Yusuf Hendrawan, Sandra Sandra

“…This integrated GLCM-ANN framework offers improved efficiency, reduced costs, and enhanced scalability compared to conventional approaches. …”
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