Sustainable Tertiary Accelerator of Sulfur Vulcanization of NR and SBR Rubbers From Natural Tree Extract by Nardeen A. Berto, Auda J. Braihi, Mohammed H. Al-Maamori

“… A novel natural, low cost and available accelerator for Styrene Butadiene Rubber (SBR) and Natural Rubber (NR) curing systems was prepared from waste agriculture. …”
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Observing autonomous product development: A grounded theoretical analysis of product innovation outside the boundaries of firms by Carrielle Somers, Jörg Henseler

“…Thanks to the decreasing cost of 3D printing technology, we can develop complex products in the comfort of our home – and with the help of online communities. …”
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Organic Dinitrates: Electrolyte Additives That Increase the Energy Densities of Lithium/Graphite Fluoride Batteries by Junwei Xiao, Lingchen Kong, Yong Wang, Ziyue Zhao, Yu Li, Wei Feng

“…The developed strategy enables the facile, cost-effective enhancement of the capacities of Li/CF<i>_x</i> batteries, paving the way for their practical use in energy-demanding devices.…”
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Anomaly Sign Detection for Automatic Ticket Gates by the Histogram Limitation Method by Ken Ueno, Shigeru Maya, Kiyoku Endo

“…In addition, to minimize the cost of ATG monitoring, the necessary computing resources should be minimized, which means using only light-weight statistical methods rather than deep learning or machine learning. …”
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Implementation of Parallel K-Means Algorithm to Estimate Adhesion Failure in Warm Mix Asphalt by Mohammad Nishat Akhtar, Waseem Ahmed, Muhammad Rafiq Kakar, Elmi Abu Bakar, A. R. Othman, Moises Bueno

“…For the proposed experiment, the number of clusters was chosen as ten (k = 10) based on k value and cost of k means function was computed to analyse the adhesion failure. …”
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The emerging role of conducting polymers as catalysts for sustainable carbon dioxide (CO2) reduction pathways by Kafil Chowdhury, Meysam Heydari Gharahcheshmeh

“…Additional advantages, such as low density, mechanical flexibility, and cost-effective fabrication, further underscore their potential as scalable and eco-friendly alternatives to conventional inorganic catalysts. …”
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A comprehensive review of advancements in additive manufacturing for 3D printed medical components using diverse materials by Ravi Kumar, Husain Mehdi, Shallender Singh Bhati, M. Arunkumar, Subhash Mishra, Manoj Kumar Lohumi

“…Abstract Additive Manufacturing (AM), also known as 3D printing, has transformed industries over the past four decades by enabling cost-effective, on-demand production of geometrically complex objects across various fields, particularly in the biomedical sector. …”
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Optimizing injection molding parameters to reduce weight and warpage in PET preforms using Taguchi method and Analysis of Variance (ANOVA) by Rozeena Aslam, Awais Ahmed Khan, Hamza Akhtar, Sadia Saleem, Muhammad Sarfraz Ali

“…The reduction in warpage and weight achieved through optimized parameters leads to improved product quality, material efficiency, and cost savings in the manufacturing process. Furthermore, the decrease in plastic usage aligns with environmental sustainability goals by minimizing waste and conserving resources.…”
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Energy Optimization and Efficiency Improvement Model for Enterprise Production Process Based on Deep Learning Under the Background of Carbon Peak and Carbon Neutrality by Hui Bai, Yiyi Chen, Hua Bai, Meiling Liu, Yu Fan

“…These limitations lead to inefficient energy use, increased operational costs, and challenges in meeting sustainability goals. …”
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Borate‐Based Surface Coating of Li‐Rich Mn‐Based Disordered Rocksalt Cathode Materials by Yasaman Shirazi Moghadam, Abdel El Kharbachi, Musa Ali Cambaz, Sirshendu Dinda, Thomas Diemant, Yang Hu, Georgian Melinte, Maximilian Fichtner

“…Electrochemical characterization, as function of the amount of coating, C‐rate and temperature, indicate that the coated samples possess considerably improved capacity retention and reduced Mn‐dissolution, however, at the cost of a measurable initial capacity loss. The authors further demonstrate that the presence of the coating reduces the interfacial resistance, which is beneficial for Li ion transfer. …”
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Optimizing cropland expansion for minimizing ecosystem service loss in China by Siyan Zeng, Junna Liu, Jing Ma, Yongjun Yang, Gang-Jun Liu, Fu Chen

“…However, there is no clear assessment of the specific losses on ecosystem services caused by China’s expansion of cropland to ensure food security at the cost of losing ecological land such as forests and grasslands. …”
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Exploring vaginal microbiome: from traditional methods to metagenomic next-generation sequencing—a systematic review by Siying Liu, Yuxin Chen, Kunxiu Zhang, Dan Tang, Ji Zhang, Yuxin Wang, Jiaqi Zhao, Diyan Li, Tao Wang

“…In summary, mNGS technology allows us to collect valuable information at a lower cost, and it remains a leading method for detecting female reproductive tract microbes. …”
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Novel Combined Freeze-Drying and Instant Controlled Pressure Drop Drying for Restructured Carrot-Potato Chips: Optimized by Response Surface Method by Jianyong Yi, Chunhui Hou, Jinfeng Bi, Yuanyuan Zhao, Jian Peng, Changjin Liu

“…Considering the relatively high production cost of FD, this novel FD-DIC could be an alternative method for obtaining desirable restructured fruit and vegetable chips.…”
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LLM Performance in Low-Resource Languages: Selecting an Optimal Model for Migrant Integration Support in Greek by Alexandros Tassios, Stergios Tegos, Christos Bouas, Konstantinos Manousaridis, Maria Papoutsoglou, Maria Kaltsa, Eleni Dimopoulou, Thanassis Mavropoulos, Stefanos Vrochidis, Georgios Meditskos

“…Moreover, the results suggest that automated custom evaluations of LLMs can align with human assessments, offering a viable option for preliminary low-cost analysis to assist stakeholders in selecting the optimal LLM based on user and application domain requirements.…”
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Specialized Medical Weight Management Intervention for High-Risk Obesity by Gitanjali Srivastava, Chelsea Paris, Jessica Johnson, Emma Barnes, Brittany L. Cunningham, C. J. Stimson, Kevin D. Niswender, Sabrina J. Poon

“…# Background Bundled payments are services rendered at pre-determined costs with the goal of providing high value care. …”
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MODERN MODEL FORMATION OF DRUG PROVISION OF PATIENTS WITH COMMUNITY-ACQUIRED PNEUMONIA IN KABARDINO-BALKARIA by A. A. Umirova, V. L. Adzhienko, T. I. Kabakova, E. A. Korzhavykh, V. V. Gatsan

“…The following internal factors of PhC have been defined: medical prescriptions, consumer demands and the cost of pharmacotherapy. A model of drug provision for patients with CAP in the region has been formed. …”
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Seismic Performance of CFST Frame-Steel Plate Shear Walls Connected to Beams Only by Qin Rong, Zhonghui Zhao, Lanhui Guo, Xiaomeng Hou, Li Lin, Hongtao Bi

“…The safety and cost of structures composed of concrete-filled steel tube (CFST) frame-steel plate shear walls (SPSWs) with two-side connections are governed by the seismic performance. …”
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OPTIMIZATION STRATEGIES AND COMPUTATIONAL MODELING IN THE DESIGN AND PERFORMANCE EVALUATION OF GREEN POROUS OIL ADSORBENT MATERIALS by Haoran Zhang, Sagdat Mederbekovna Tazhibayeva

“… This study optimizes green porous oil adsorbent material design and selection to improve adsorption efficiency, cost-effectiveness, and sustainability to address the growing environmental challenge of oil spill remediation. …”
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Direct Air Capture Using Pyrolysis and Gasification Chars: Key Findings and Future Research Needs by Wojciech Jerzak, Bin Li, Dennys Correia da Silva, Glauber Cruz

“…Among emerging DAC materials, pyrolysis chars (PCs) and gasification chars (GCs) derived from biomass present a promising pathway due to their tunable porosity, surface chemistry, and low-cost feedstocks. This review critically examines the current state of research on the physicochemical properties of PCs and GCs relevant to CO₂ adsorption, including surface area, pore structure, surface functionality and aromaticity. …”
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Object detection model design for tiny road surface damage by Chenguang Wu, Min Ye, Hongwei Li, Jiale Zhang

“…However, existing detection methods generally suffer from insufficient generalization capability, poor detection of tiny damage, and difficulty balancing detection accuracy and computational cost. This study proposes a novel road surface damage object detection model (RSDD) to address these challenges. …”
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