Advancing X-ray quantum imaging through Monte-Carlo simulations by Pakhshan Espoukeh, Gabriel Biener, James Baxter, Andrew Aquila, Peter Schwander

“…With these simulations, we can efficiently assist the design of future experiments at beam lines, which can substantially accelerate the advancement of X-ray quantum imaging and reduce costs.…”
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SYNTHESIS OF THE THERMALLY COUPLED DISTILLATION SEQUENCES by E. А. Anokhina, А. V. Timoshenko

“…As follows from the analysis of literature data, they save energy costs by up to 30%. Recently, it has been revealed that the use of such systems is possible, expedient and energetically advantageous for separating the close-boiling and azeotropic mixtures by extractive distillation (ED). …”
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Multiparadigm Modeling Framework to Evaluate the Impacts of Travel Patterns on Electric Vehicle Battery Lifespan by Shubham Agrawal, Srinivas Peeta, Mohammad Miralinaghi

“…This becomes even more critical in developing countries where consumers are highly sensitive to battery replacement costs. Thus, to promote EVs in developing economies, policymakers and vehicle manufacturers need to develop attractive incentive schemes and warranty strategies preceded by a thorough assessment of the useable EV battery lifespan for a wide range of users. …”
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Greening of oil and gas companies in Kurdistan: exploring the effect of green human resource management practices on sustainability performance by Milad Malko Noh, Fatih Cura, Fayeq Ali Ali, Hussaini Bala

“…Abstract Sustainability is a primary concern for ensuring that businesses remain ongoing and that resource costs are reduced for future generations. In this regard, green human resource management (GHRM) has considerable potential for business development. …”
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China’s energy cooperation within the 17+1 by Katarina Zakić, Nevena Šekarić Stojanović

“…The authors find that China is primarily interested in building coalfired power plants, but results remain below expectations, with performance affected by a combination of EU opposition, project costs, and internal political issues in the 17+1 countries. …”
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Enhancing tool condition monitoring in friction stir welding with probabilistic neural network algorithm by Balachandar Krishnamurthy, Jegadeeshwaran Rakkiyannan

“…This versatile method is widely applicable across numerous industries, including marine and auto-motive sectors.MethodReal-time tool condition monitoring is essential for businesses to identify and address issues before they escalate into costly failures or product defects. While traditional methods such as visual inspection and endoscopy are used to observe tool conditions, they cannot be performed in real-time during welding operations. …”
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THE FUNCTIONING OF CROP-PRODUCING FARMS IN THE CONTEXT OF CLIMATE CHANGE IN THE WARMIŃSKO-MAZURSKIE VOIVODESHIP by Renata Marks-Bielska, Babuchowska Karolina

“…The most frequently cited concerns were rising production costs (82.1%) and unstable sales prices (79.5%). …”
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Problems of Investment Planning in Upstream companies by L. R. Artemkina

“…That leads to the overrun of investment costs plan. According to the author, the third problem of the existing methodology of investment planning is the absence of a mechanism for optimizing the company’s investment portfolio. …”
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Sustainable High-Ductility Concrete with Rapid Self-Healing Characteristic by Adding Magnesium Oxide and Superabsorbent Polymer by Shuyin Wu, Guoyang Lu, Quan Liu, Pengfei Liu, Jun Yang

“…Rapid self-healing has important significance for ECC in reducing maintenance costs and prolonging service life, which are conducive to sustainable development of ECC. …”
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A review on simulation based training on autonomous ships and protection of Egyptian maritime security by Ashraf Mohamed Elsayed

“…<p><strong> </strong><strong>Abstract</strong></p><p>Autonomous ships are gaining more and more favor in the maritime sector as a result of their ability to boost productivity while simultaneously lowering costs and boosting levels of safety. However, the proliferation of autonomous ships brings with it new worries about cybercrime, piracy, and other challenges to maritime safety and security. …”
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Application of Artificial Intelligence in Prosthodontics in the 21st century by Lavanya V, Keerthivasan MS, Venkatakrishnan CJ, Tamizhesai BV, Anandh V

“…Limitations include a lack of data privacy insufficient practitioner training high implementation costs ethical concerns and incomplete standardization of AI algorithms. …”
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Thermal Management and Energy Recovery in Commercial Dishwashers: A Theoretical and Experimental Study by Jafar Zanganeh, Adrian Seyfaee, Greg Gates, Behdad Moghtaderi

“…Enhancing efficiency in such systems can significantly reduce energy consumption, operating costs, and greenhouse gas emissions, particularly when electricity is generated from fossil fuels. …”
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A retrospective study between 2012-2019: Epidemiology of Candida infections in intensive care units by Naime Sila Gocer, Selma Ates, Selcuk Nazi̇k

“…Candida, the most common causative agent among fungal infections, is associated with high mortality, morbidity, and increased costs. Early diagnosis and effective treatment planning are crucial for patient prognosis. …”
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ESTIMATION OF INDUCED CURRENTS IN THE SHIELDS OF ELECTRICAL POWER CABLES WITH XLPE INSULATION by I. V. Oleksyuk

“…Electrical power cables with Cross-Linked Polyethylene Insulation (XLPE-insulation) are currently utilized in projects of the electric-power supply systems of modern facilities. However, the higher costs, the incomplete design, installation and maintenance normativetechnical basis as well as certain constructional features of the XLPE-insulated cable lines hinder their large-scale implementation.The cables with XLPE insulation are mostly produced in a single-conductor core version being provided with a composite copper shield whose cross-section may vary while the electric conductor cross-section remains uniform. …”
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Emerging information communication technology trends in the construction industry: an overview by Gideon Olukunle Bamigboye, Mehmet Serkan Kirgiz

“…The findings underscore the critical need for continuous technological adoption and innovation to enhance efficiency, improve project outcomes, and reduce costs. Overall, the review serves as a valuable resource for researchers, practitioners, and policymakers seeking to understand the impact of ICT on modern construction practices.…”
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LEGAL AND INSTITUTIONAL ISSUES IN THE STATE POLICY FOR DEVELOPMENT AND SUPPORT OF SMALL AND MEDIUM BUSINESSES by E. M. Bukhvald

“…Under the current circumstances, small businesses cannot act neither as a significant damper for social and economic costs of crisis phenomena observed for the last two years nor as a sufficiently powerful factor in innovative modernization and restructuring of the Russian economy. …”
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Use of Machine Learning Algorithms to Predict Almen (Shot Peening) Intensity Values of Various Steel Materials by Murat İnce, Hatice Varol Özkavak

“…The supplied experimental data was utilized to estimate the SP Almen intensity value using a number of machine learning (ML) methods, eliminating the need for costly and time-consuming experimentation. With an RMSE of 0.0731, R2 of 0.9665, and MAE of 0.0613, the deep neural network (DNN) surpassed the other models in terms of prediction accuracy. …”
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Support Vector Regression-Based Optimization for Triple Friction Pendulum Bearings: Achieving Computational Efficiency by Mahnaz Akbarzaghi, Behrooz Ahmadi Nedushan, Hamed Tajammolian

“…SVR surrogate modeling reduced computational costs by 77.78%, with prediction differences of less than 2.71% for both objectives, demonstrating high fidelity. …”
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The State of the Russian Bank Insurance Market by O. Yu. Donetskova

“…The systematic and integrated approaches of the research allowed the author to identify important problems that require a primary solution (the imposition of bancassurance products and their inflated price, high costs for the sale of products, and the presence of contradictions between the bank and the insurance company). …”
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BPFun: a deep learning framework for bioactive peptide function prediction using multi-label strategy by transformer-driven and sequence rich intrinsic information by Lun Zhu, Hao Sun, Sen Yang

“…Traditional experimental identification methods are time-consuming, laborious and costly. To overcome these problems, we adopt a computational biology approach and propose a new model BPFun based on deep learning, which can predict seven functions including anticancer, antibacterial, antihypertensive and so on. …”
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