Effect of educational intervention on midwives’ skills in utilising uterine balloon tamponade for managing postpartum haemorrhage in Ogun State, Nigeria by Foyekemi Adamu-Adedipe, Olayinka Onasoga

“… Objective: Studies demonstrated the cost-effectiveness of Uterine Balloon Tamponade (UBT) in reducing PPH. …”
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Insurance as a Risk Management Tool in Agribusiness by Tsarenko Dmytro H., Khalin Stanislav V.

“…This is due to both economic and behavioral factors: the high cost of insurance payouts, distrust of insurance companies, low awareness among farmers, and the complexity of insurance procedures. …”
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Enhancing Energy Efficiency in Egyptian Middle-Income Housing: A Study of PV System Integration and Building Envelope Optimization in Sakan Masr by Ehsan Raslan, Samah Elkhateeb, Ramy Ahmed

“…Also, east–west PV arrays outperform south-facing ones, producing over 14% more electricity, reducing costs by up to 50%, and avoiding up to 168 tons of CO₂ emissions annually. …”
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Two-Layer Optimal Dispatch of Distribution Grids Considering Resilient Resources and New Energy Consumption During Cold Wave Weather by Lu Shen, Xing Luo, Wenlu Ji, Jinxi Yuan, Chong Wang

“…Then, the Conditional Value at Risk (CVaR) is used to quantify the uncertainty of wind and solar power generation, and a two-layer model with the objective of minimizing the operation cost in the upper layer and maximizing the rate of new energy consumption in the lower layer is proposed and solved using Karush–Kuhn–Tucker (KKT) conditions. …”
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Comprehensive assessment of high-speed passenger trains circulation on the existing railway infrastructure in the Siberian Federal District by E. V. Klimova

“…The researcher used formulas to calculate performance and cost metrics adapted to the challenges of high-speed passenger traffic on the existing railway infrastructure. …”
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Distribution Generation Network Arrangement by Capacitor Placement and Sizing in Renewable Energy Sources with Uncertainties Based on Self-adaption Kho-Kho Optimizer by Lu Xingxing

“…Post-optimization results indicated a reduction in power loss costs from 4.11 × 10^5 to 1.05 × 10^5 units, representing a 25.54% decrease. …”
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An economic evaluation of laparoscopy and open surgery in the treatment of tubal pregnancy by Ben W.J Mol, Petra J. Hajenius, Simone Engelsbel, Willem M. Ankum, Fulco Van derVeen, Douwe J. Hemrika, Patrick M.M. Bossuyt

“…Laparoscopy is equally effective as open surgery in the treatment of tubal pregnancy, and considerably reduces costs…”
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The relationship between income level and road traffic deaths: an empirical analysis for 22 OECD countries by Yuksel Bayraktar, Serdar Aydin, Mehmet Firat Olgun, Ayfer Ozyilmaz, Metin Toprak

“…Every day, thousands of people are killed, injured, or disabled due to road accidents around the world. The high cost of fatal and non-fatal road accidents to national economies is important in terms of policies to be implemented. …”
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Zwitterion-mediated interface chemistry for practical Zn-iodine batteries by Yonglin Wang, Yangfeng Cui, Meiqi Zhao, Jiazhi Wang, Xueqin Liu, Yunhai Zhu, Yingkui Yang

“…Abstract Aqueous zinc-iodine (Zn||I2) batteries, recognized for their cost-effectiveness, safety, and environmental sustainability, are emerging as the next-generation energy storage technologies. …”
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ANN-based prediction of 17α-ethinylestradiol removal using green magnetic nanoparticles synthesized from celery extract by Saba N. Fayyadh, Nurfaizah A. Tahrim, Wan Nur Aini Wan Mokhtar

“…This experimental and modelling methodology is demonstrated to be a cost-effective and sustainable approach to removing emerging contaminants from freshwater, thereby reducing reliance on trial-and-error experiments through machine learning-based optimization.…”
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Development in Photoelectrochemical Water Splitting Using Carbon-Based Materials: A Path to Sustainable Hydrogen Production by Asim Jilani, Hussameldin Ibrahim

“…Key challenges, including material stability, cost, scalability, and solar spectrum utilization, are critically analyzed, along with emerging strategies such as novel synthesis approaches and sustainable material development. …”
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A Distributed Model Predictive Control Approach for Virtually Coupled Train Set with Adaptive Mechanism and Particle Swarm Optimization by Zhiyu He, Zhuopu Hou, Ning Xu, Dechao Liu, Min Zhou

“…This paper focuses on addressing the virtually coupled train set (VCTS) control problem within the framework of distributed model predictive control (DMPC), in which train dynamics model incorporates uncertainties in basic resistance and control inputs, with an adaptive mechanism (ADM) designed to limit errors caused by external disturbances. A multi-objective cost function is established, considering position error, speed error, and ride comfort, while constraints such as actuator saturation, speed limits, and safe tracking distance are enforced. …”
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Revealing the potential of functionalized FeS2 composites as efficient photocatalysts for improved removal of cationic and anionic dyes by Vahid Mohammadbeigi, Ebrahim Allahkarami, Amirreza Azadmehr

“…These findings underscore pyrite's potential as a cost-effective, efficient adsorbent for wastewater treatment, with surface functionalization offering a strategic avenue to tailor affinity for target pollutants, prioritizing adsorption over photocatalytic approaches.…”
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High‐Performance 2D C‐Axis‐Aligned Crystalline Oxide Semiconductor Heterostructure Transistors via Aqueous Solution Deposition by Wangying Xu, Junling Zhou, Jierui Lin, Chen Wu, Yanwei Li, Shuqiong Lan

“…The 3.9 nm‐thick c‐axis‐aligned crystalline In2O3/InSmO heterostructure transistors are fabricated by cost‐effective aqueous solution deposition, showing simultaneously excellent electrical performance (mobility of 38.6 ± 0.5 cm2 V−1 s−1, on/off ratio of ≈107, and threshold voltage 1.6 ± 0.3 V) and well‐behaved bias stress stability, marked improvement over single‐layer semiconductor channel. …”
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AFORS-HET-based simulation and optimization of ITO/p-rGO/n-cSi heterojunction solar cell for high-efficiency scalable photovoltaics by Chandra Kamal Borah, Lakhi Nath Borah

“…These findings underscore the potential of rGO as a cost-effective and scalable alternative to traditional emitter materials in silicon-based photovoltaic devices. …”
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Assessment of Chlorella vulgaris as a biological control agent against tortoise tick Hyalomma aegyptium (Acari: Ixodidae) in Egypt by Mohammed Okely, Asmaa Ali Baioumy Ali

“…So safe, eco-friendly, and cost-effective methods must be alternatively used. …”
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Prediction and Correction of Software Defects in Message-Passing Interfaces Using a Static Analysis Tool and Machine Learning by Norah Abdullah Al-Johany, Fathy Elbouraey Eassa, Sanaa Abdullah Sharaf, Amin Y. Noaman, Asaad Ahmed

“…Early fault detection will decrease the overall cost of software and improve its dependability. However, no effort has been made in high-performance software to address it. …”
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Vision-based sampling implementation in the Chang’e-6 lunar farside sample return mission by Congjia Chen, Xiaoyu Jia, Gao Zhang, Yanhong Zheng, Xiangjin Deng, Yufu Qu

“…Owing to the well-analyzed sample points and accurate fine-tuning, the proposed approach demonstrates high accuracy in controlling the scooping depth, while significantly reducing the time cost of the sampling implementation, effectively supporting the Chang’e-6 lunar sample mission.…”
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Event Marketing, Stakeholder Engagement, and Customer Loyalty in the Hotel Sector: The Mediating Role of Customer Satisfaction in South East Nigeria by Chieloka James Mokwuah, Emeka Kenechi Agina

“…Due to an intense competition in the sector, hotels are now faced with the problem of unoccupied rooms and high overheads cost. This problem requires proactive engagement with customers through event marketing and stakeholder engagement in order to satisfy them and make them loyal. …”
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Machine learning-based identification of wastewater treatment plant-specific microbial indicators using 16S rRNA gene sequencing by Jaana Jurvansuu, Annika Länsivaara, Marja Palmroth, Outi Kaarela, Heikki Hyöty, Sami Oikarinen, Kirsi-Maarit Lehto

“…Our study outlines a framework for the cost-effective and rapid identification of the origin of effluent or changes in the treatment process, demonstrating the power of machine learning in environmental monitoring and management.…”
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