Analyzing Pneumatic Cylinder Service Life through Seal Material Selection, Simulation, and Experimentation by Tuan-Anh Bui, Xuan-Nam Tran

“…This study investigates the selection of optimal seal materials for pneumatic cylinders operating under such conditions to enhance service life and reduce maintenance costs. The performance of pneumatic cylinders is significantly impacted by friction-induced heat and subsequent thermal deformation of the seals, leading to increased wear and lubricant degradation. …”
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Integrated Carbon Flow Tracing and Topology Reconfiguration for Low-Carbon Optimal Dispatch in DG-Embedded Distribution Networks by Rao Fu, Guofeng Xia, Sining Hu, Yuhao Zhang, Handaoyuan Li, Jiachuan Shi

“…This model could capture the spatiotemporal dynamics of nodal carbon intensity for low-carbon dispatching while comprehensively incorporating diverse operational economic costs to achieve collaborative low-carbon and economic dispatch in DG-embedded DN. …”
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Exploring the potential of low-dimensional materials from cigarette butts for energy applications: A comprehensive review by Ye Chen, Shilong Li, Congxin Xia, Miao Tian, Yaxin Guo, Xupo Liu, Mingjin Cui, Shixue Dou, Hanleem Lee, Vadivel Subramaniam, Krishnamoorthy Ramachandran, Xinghui Liu

“…This review will provide new avenues for solving the intractable problem of CBs and reducing the manufacturing costs of renewable materials.…”
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Optimization in Routing and Vehicle Selection for E-commerce Last Mile Logistics: Bibliometric Analysis by Sari Andarwati Kunharyanto, Ratna Mayasari, Dili Oktaviana

“…Key findings include the identification of the most productive journals, top-cited articles and influential keywords in LML research.Results: The study significantly emphasizes variables such as distance, costs, energy consumption and delivery time in logistics optimization. …”
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Impact of core control and assurance activities on food safety systems in water bottling plants in Northwest Ethiopia by Temesgen Mersha Woreta, Admasu Fanta Worku, Mesfin Wogayehu Tenagashaw, Temesgen Atnafu Yemata, Firew Tafesse Mamo, Dejen Gedamu Damtie, Jan FM Van Impe, Anastasia Kanellou, Efstathia Tsakali

“…Foodborne illnesses cause over 600 million cases and 420,000 deaths a year, particularly affecting low- and middle-income economies while increasing costs from lost productivity and treatment. Unsafe drinking water poses high public health risks, leading to rising demand for bottled water and increasing concerns about food safety systems. …”
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11-year workload and barrier analysis for a high-energy linear accelerator by Isabela Rodrigues Rigo, Ana Paula Vollet Cunha, Caroline Zeppellini dos Santos Emiliozzi, Gisela Menegussi

“…IMRT techniques (Intensity Modulated Radiation Therapy) and VMAT (Volumetric Modulated Arc Therapy) are known for being superior to conventional techniques, but costly from the shielding standpoint, as they increase the number of monitor units used to deliver the same dose to the patient, increasing the leakage radiation produced and, consequently, the thickness of the secondary barriers. …”
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Evaluating the impact of adopting conservation agriculture on farm returns of smallholder vegetable farmers in the Eastern Cape Province: implication for extension services by Siphesihle Qange, Lelethu Mdoda, Yanga Nontu, Mosima M. Mabitsela, Lungile S. Gidi

“…IntroductionConservation Agriculture provides sustainable practices for reducing costs of production and enhancing soil health, yet adoption rate among smallholder vegetable farmers in South Africa remains inadequate. …”
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Quantum State Estimation for Real-Time Battery Health Monitoring in Photovoltaic Storage Systems by Dawei Wang, Liyong Wang, Baoqun Zhang, Chang Liu, Yongliang Zhao, Shanna Luo, Jun Feng

“…The growing deployment of photovoltaic (PV) and energy storage systems (ESSs) in power grids has amplified concerns over component degradation, which undermines efficiency, increases costs, and shortens system lifespan. This paper proposes a quantum-enhanced optimization framework to mitigate degradation impacts in PV–storage systems through real-time adaptive energy dispatch. …”
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Simultaneous identification of multiple animal-derived components in meat and meat products by using MNP marker based on high-throughput sequencing by Yan Yi, Zhanyue Jiang, Lixia Ma, Xiaoni Hou, Lun Li, Deping Ye, Juanlan Du, Hai Peng, Guoquan Han, Huaiping Li, Jiangwen Tang, Lihua Zhou

“…In order to save manpower and time costs, and to achieve simultaneous detection of multiple animal-derived components in meat and meat products, this study used multiple nucleotide polymorphism (MNP) marker technology based on the principle of high-throughput sequencing, and established a multi-locus 10 animal-derived components identification method of cattle, goat, sheep, donkey, horse, chicken, duck, goose, pigeon, quail in meat and meat products. …”
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The Impact of the Variability of RT-qPCR Standard Curves on Reliable Viral Detection in Wastewater Surveillance by Lorena Casado-Martín, Marta Hernández, Nadine Yeramian, Daniel Pérez, José M. Eiros, Antonio Valero, David Rodríguez-Lázaro

“…In this study, we evaluated whether the no inclusion of a standard curve in each single experiment to reduce time and costs could have an impact on the accuracy of the results. …”
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Research on the evaluation of canal route schemes based on multiattribute decisionmaking methods by Xinran Fan, Shiwen Tai, Liang Zhong, Weikun Liang, Jinchen Liu, Shuai Wang, Pei Zheng, Zhilong Wu

“…Abstract The scientific evaluation of canal route schemes is a crucial aspect of canal engineering design, directly affecting construction costs and overall benefits. Addressing this multi-attribute decision-making problem, this study establishes a comprehensive evaluation system: Initially, a multi-level evaluation system comprising four criteria layers and 20 specific indicators is constructed from the dimensions of technical feasibility, economic benefits, social impact, and environmental protection. …”
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The Ultimate Evaluation of Current Consumption and QoS Metrics in 5G Mobile Networks Over IP Multimedia Subsystem (IMS) by Jussif Junior Abularach Arnez, Walmir Acioli E. Silva, Wederson Medeiros Silva, Ana Flavia de Oliveira Ribeiro, Janislley Oliveira de Sousa

“…Therefore, this study provides valuable insights for mobile network operators seeking to optimize resource allocation and reduce operational costs while maintaining a high-quality user experience in 5G networks.…”
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Enhancing Medicare Fraud Detection With a CNN-Transformer-XGBoost Framework and Explainable AI by Mohammad Balayet Hossain Sakil, Md Amit Hasan, Md Shahin Alam Mozumder, Md Rokibul Hasan, Shafiul Ajam Opee, M. F. Mridha, Zeyar Aung

“…Healthcare fraud is a critical challenge, contributing significantly to rising healthcare costs and financial losses. This article proposes a hybrid architecture for healthcare fraud detection, combining deep learning-based feature representation with gradient boosting classification and explainable AI techniques. …”
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Nanomaterials for Persistent Organic Pollutants Decontamination in Water: Mechanisms, Challenges, and Future Perspectives by Risky Ayu Kristanti, Tony Hadibarata, Adelina-Gabriela Niculescu, Dan Eduard Mihaiescu, Alexandru Mihai Grumezescu

“…When checking for large-scale application feasibility, impurities typically add to production costs, recovery problems, and general infrastructure limitations. …”
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Similarity-Based Decision Support for Improving Agricultural Practices and Plant Growth by Iulia Baraian, Honoriu Valean, Oliviu Matei, Rudolf Erdei

“…In agriculture, where managing extensive land areas poses significant challenges, the primary objective is often to maximize harvest yields while reducing costs, preserving crop health, and minimizing the use of chemical adjuvants. …”
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PROBLEMS OF LETTUCE PRODUCTION IN OPEN GROUND AND PECULIARITIES OF HIS GROWING IN CONDITIONS OF SMALL- MANUFACTURE PRODUCTION (ON THE EXAMPLE OF LLC "VESELY AGRONOM" DMITROVSKIY DI... by A. V. Soldatenko, A. F. Razin, M. V. Shatilov, M. I. Ivanova, S. V. Taktarova, M. V. Kuzyakin, E. S. Sokolova, V. S. Bukanov

“…The profit from sales increased over 5 years from 1.27 million rubles in 2013 to 7.8 million rubles in 2017. In the structure of costs, seeds and seedlings account for 24%, and the share of wages – 29%.…”
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Empowering Indonesia’s energy transition planning through long-term energy system modelling: A technoeconomic datasetZenodo by Mutiara Ramadhani Nur Irbah, Raphael Slade, Mark Howells, Neve Fields, Fernando Antonio Plazas-Niño, Emma Richardson

“…The dataset encompasses historical and projected data from 2010 to 2070 on key aspects such as electricity demand by sector, electricity generation, installed capacity, capacity factors, costs of energy technologies, and renewable energy potentials for solar, wind, hydro, and geothermal power. …”
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Exploring subthreshold processing for next-generation TinyAI by Farid Nakhle, Antoine H. Harfouche, Antoine H. Harfouche, Hani Karam, Vasileios Tserolas

“…A key mechanism enabling this efficiency is subthreshold processing, where neurons perform computations through graded, continuous signals below the spiking threshold, reducing energy costs. Despite its significance in biological systems, subthreshold processing remains largely overlooked in AI design. …”
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Mapping the most effective measures to optimize carrot slice tray drying using physics-based and Monte Carlo simulations by Jörg Schemminger, Sharvari Raut, Barbara Sturm, Thijs Defraeye

“…The results of this study support the identification of the ideal case-specific optimization strategies and thus help to avoid costly trial-and-error approaches in the future.…”
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Correlation-Based Knowledge Distillation in Exemplar-Free Class-Incremental Learning by Zijian Gao, Bo Liu, Kele Xu, Xinjun Mao, Huaimin Wang

“…In this article, we propose a simple yet effective method to mitigate CF without any additional training costs or requiring any exemplars. Specifically, we apply the linear correlation between the features of the teacher and student to measure the distillation loss rather than vanilla point-to-point loss, which significantly improves the model stability. …”
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