IDENTIFICATION AND MEASUREMENT OF INTANGIBLE ASSET VALUE: ESTIMATING AND ACCOUNTING APPROACHES by T. P. Karpova, V. V. Karpova

“…The authors outlined three blocks of problems of the observed gap between the indices of accounting and the market capitalization of the company: the lack of an active market, which makes it impossible to measure the external market value of the IA; the lack of proper regulation of individual intellectual property institutions; Unreliability of the IA value reflected in financial statements; the impossibility of regarding an object as an intangible asset due to the lack of documentary confirmation of the cost component of its value. The above problems can be eliminated, in the authors’ opinion, by unidirectional coordinated actions of the professional community and regulators in the field of creating an open intellectual property market. …”
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Clinical performance validation of an integrated cartridge based bedside blood gas analyzer system in the acute care setting by Lixia Yang, Dazhi Chi, Cuixiang Zhen, Wenjie Zhang, Junhua Yang, Jinlian Shao, Hua Xie

“…The EG provides reliable and accurate blood gas analysis comparable to the ABL, offering a portable, cost-effective solution for rapid diagnostics in emergency and critical care settings.…”
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Virulent Factor‐Targeted Point‐of‐Care Biosensor for Detection of Staphylococcus Aureus Infections by Zahra Marvi, Yara Raphael, Dario Job, Graziele Cruzado, Geraldine Merle

“…This study presents a rapid, low‐cost, label‐free electrochemical immunosensor for aureolysin detection using antibody‐gold (Ab‐Au) bioconjugates. …”
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Zoning of the Lower Volga Region and Formation of Territory, Okrug, District and Rural Bodies of Soviet Authority in 1928: First Stage by Ekaterina Furman

“…The distance of rural councils from middle management and the consolidation of individual rural councils, on the one hand, led to the planned reduction of hardware costs but, on the other hand, excluded remote villages from active public life. …”
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Multiphysics Computational Modeling of Nuclear Reactors Small Size Through the Coupling of Serpent Codes and Fluent by Erik Lago, Dany Sanchez Dominguez, Leorlen Rojas Mazaíra

“…The need for designing a reactor model that would produce energy at a lower cost per MWh highlighted the importance of Small Modular Reactor (SMR) reactors. …”
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Inhibition of bacterial attachment to polyethersulfone membranes using aminophenol compounds in static and continuous flow systems by Mohamed Salah El-Din Hassouna, Nermine Nasser, Noha Salem, Ranya Amer, Sherif H. Kandil, Norhan Nady

“…Biofouling deteriorates membranes used in filtration process and decreases the efficiency of membrane productivity used in separation fields, thus increasing the technology cost of membrane-based filtration process. Several approaches exist to control biofouling; membrane surface modification has recently been used to resist bacterial attachment and biofilm formation. …”
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The Impact of Perceptual Road Markings on Driving Behavior in Horizontal Curves: A Driving Simulator Study by Ali Pirdavani, Mahdi Sadeqi Bajestani, Siwagorn Bunjong, Lucas Delbare

“…This study explores innovative low-cost road designs for this issue, such as the red-white pattern edge line (RWE), the solid red edge line (RE), the alternating red-white checkered median stripe (RWM), and the red dragon’s teeth (RDT) to improve driver behavior around curves. …”
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Deprescribing Antihypertensive Drugs in Patients of Older Age Groups by O. D. Ostroumova, M. S. Cherniaeva, D. A. Sychev

“…An analysis of these studies showed the benefits of deprescribing of antihypertensive drugs for elderly patients with frailty, which avoids potential harm to their health, improves the quality of life and reduces the economic cost of treatment. Therefore, deprescribing of antihypertensive drugs can be used as an additional tool to achieve the necessary target BP values in patients of an older age group. …”
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Application of energy management coupled with fuel switching on a hydrotreater unit by Eman M. Gabr, Soad M. Mohamed, Seham A. El-Temtamy, Tahani S. Gendy

“…Comparison between existing design and the optimum ΔTmin HEN led to few modifications with the least added capital cost for the hydrotreater existing design to revamp it through four scenarios; the first one depended on fuel switching to natural gas while the second one switched fuel to diesel oil, in the third scenario we applied heat integration only and the fourth one used both of heat integration and fuel switching in a parallel way.…”
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Machine Learning in Biomedical Informatics: Optimizing Resource Allocation and Energy Efficiency in Public Hospitals by Agostino Marengo, Vito Santamato, Massimo Iacoviello

“…It analyzes the interplay between hospital admission volumes, adherence to quality standards, operational efficiency, and energy costs. The framework integrates several predictive models—including Random Forest, Support Vector Machines, and Logistic Regression—developed in Python using the scikit-learn library. …”
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Enhancing Steganography Detection with AI: Fine-Tuning a Deep Residual Network for Spread Spectrum Image Steganography by Oleksandr Kuznetsov, Emanuele Frontoni, Kyrylo Chernov, Kateryna Kuznetsova, Ruslan Shevchuk, Mikolaj Karpinski

“…Subsequent experiments showed significant improvement in SSIS detection, albeit at the cost of minor performance degradation as to other techniques. …”
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Reliability Improvement of Power Distribution Systems using Advanced Distribution Automation by M. R. Elkadeem, M. A. Alaam, Azmy Azmy

“…In this scope, this paper introduces a generic strategy for cost-effective <a name="OLE_LINK555"></a><a name="OLE_LINK554"></a>implementation and evaluation of ADAS. …”
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MLCRP: ML-Based GPU Cache Performance Modeling Featured With Reuse Profiles by Minjung Cho, Eui-Young Chung

“…While cyclic simulators provide high accuracy, they require significant computational cost and time, making them inefficient for large-scale design space exploration. …”
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Tetracycline adsorption research (2015–2025): A bibliometric analysis of trends, challenges, and future directions by Ramesh Vinayagam, Thivaharan Varadavenkatesan, Raja Selvaraj

“…Among the various treatment technologies, adsorption has gained prominence as a cost-effective and efficient approach for removing tetracycline from contaminated water. …”
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Predicting hydrocarbon reservoir quality in deepwater sedimentary systems using sequential deep learning techniques by Xiao Hu, Jun Xie, Xiwei Li, Junzheng Han, Zhengquan Zhao, Hamzeh Ghorbani

“…Traditional approaches like core sampling and Nuclear Magnetic Resonance logging are often costly and limited in data coverage, particularly in older wells. …”
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Energy-Efficient Control System for Small-Scale Rocket Recovery by Shinhyung Kim, Tsegaye Molla, Abenezer Zegeye, Sunghun Jung

“…Thus, this study provides valuable insights for the development of more sustainable and cost-effective reusable rocket systems by emphasizing energy-efficient recovery control.…”
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Unraveling the artificial intelligence role in drug discovery and pharmaceutical product design: an opportunity and challenges by Bhakti Sudha Pandey, Sumit Durgapal, Prashant Kumar, Gauree Kukreti, Anjali Jain, Girish Paliwal, Manish Kumar

“…AI easily identifies potential drug targets by virtual screening of biological data, resulting in time-efficient and low-cost discovery of novel drug targets. AI can be used for the design of new drug candidates by analysing the possible molecular structures binding with targets. …”
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Pain Flare After Single Fraction Radiotherapy for Symptomatic Bone Metastases—Do We Have a Predictive Model? by Tatjana Arsenijević, Aleksandar Stepanović, Snježana Bogićević, Dragica Gržetić, Marina Nikitović

“…ABSTRACT Background The COVID‐19 pandemic reintroduced single‐fraction radiotherapy for symptomatic bone metastases due to its efficiency, rapid realization, and cost‐effectiveness. However, pain flare can occur as a side effect that can have a significant impact on a patient's quality of life. …”
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Data anomaly repair method based on fuzzy voting and multi-segment interpolation by Yanling Lv, Qingdong Han, Shulei Xue

“…This approach not only enhances the quality of data interpolation but also optimally balances the training time cost. Finally, the proposed method was validated using real-world wind field data. …”
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Shearography-Based Near-Surface Defect Detection in Composite Materials: A Spatiotemporal Object Detection Neural Network Trained Only with Simulated Data by Guanlin Li, Yao Hu, Hao Wang, Qun Hao, Yu Zhang

“…Shearography is a non-destructive defect detection technique that, when combined with neural networks, can efficiently and accurately detect near-surface defects in composite materials. However, the high cost of the dataset significantly limits the application of neural networks in shearography. …”
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