Integration of Coke and CNMs with Bitumen: Synthesis, Methods, and Characterization by Muhammad Hashami, Yerdos Ongarbayev, Yerbol Tileuberdi, Yerzhan Imanbayev, Ainur Zhambolova, Aliya Kenzhegaliyeva, Zulkhair Mansurov

“…Both the superior mechanical properties of carbon nanomaterials and processing advancements in nano-enhanced bitumen have the capability to solve technical issues including material costs and specialized mixing processes. Combining coke with CNMs to enhance performance is a future research direction, which could result in economic and scalability considerations. …”
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Numerical Simulation of Drilling Fluid-Wellbore Interactions in Permeable and Fractured Zones by Diego A. Vargas Silva, Zuly H. Calderón, Darwin C. Mateus, Gustavo E. Ramírez

“…In well drilling operations, interactions between drilling fluid water-based and the well-bore present significant challenges, often escalating project costs and timelines. Particularly, fractures (both induced and natural) and permeable zones at the wellbore can result in substantial mud loss or increased filtration. …”
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Optimization of Electric Vehicle Charging and Discharging Strategies Considering Battery Health State: A Safe Reinforcement Learning Approach by Shuifu Gu, Kejun Qian, Yongbiao Yang

“…In response, this paper proposes a safe reinforcement learning–based optimization method for EV charging and discharging strategies, aimed at minimizing charging and discharging costs while accounting for battery SOH. First, a novel battery health status prediction model based on physics-informed hybrid neural networks (PHNN) is designed. …”
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Predictive model for meningitis after pituitary tumor resection by endoscopic nasal trans-sphenoidal sinus approach by Peiyun Zhou, Jianan Shi, Zongke Long, Bingyan Zhang, Wenran Qu, Huimin Wei, Simeng Zhang, Xiaorong Luan

“…Meningitis increases hospital stays and costs, posing a burden to both patients and healthcare systems. …”
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Optimization of Multi-Energy Grid Integration and Energy Storage in Low-Carbon Power Systems Based on the TCM-MBZOA Algorithm: A Case Study of Yunnan Province by Yang Li, Guoen Zhou, Jiaqi Xue, Junwei Yang, Shi Yin

“…The outer model maximizes the annual revenue of third-party energy storage operators, while the inner model minimizes operational costs, carbon emissions, and renewable energy curtailment within multiple virtual power plants. …”
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RE-BPFT: An Improved PBFT Consensus Algorithm for Consortium Blockchain Based on Node Credibility and ID3-Based Classification by Junwen Ding, Xu Wu, Jie Tian, Yuanpeng Li

“…Experimental results indicate that RE-BPFT markedly reduces consensus latency and communication costs while achieving higher throughput and better scalability than classical PBFT, RBFT, and PPoR algorithms. …”
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Virtual contact improves intergroup relations between non-Muslim American and Muslim students from the Middle East, North Africa and Southeast Asia in a field quasi-experiment by Shira Hebel-Sela, Boaz Hameiri, Linda R. Tropp, Samantha L. Moore-Berg, Rebecca Saxe, Eran Halperin, Emile Bruneau

“…However, modern socio-political conflicts often span great physical distances, making direct contact difficult, costly and rare. Programs for “virtual contact” have emerged in recent years, combining text-based computer-mediated communication with live video to extend intergroup contact’s benefits to broader audiences. …”
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Post Constraint and Correction: A Plug-and-Play Module for Boosting the Performance of Deep Learning Based Weather Multivariate Time Series Forecasting by Zhengrui Wang, Zhongwen Luo, Zirui Yang, Yuanyuan Liu

“…Currently, existing deep learning approaches such as Recurrent Neural Networks (RNNs) and transformers offer remarkable performance in handling complex patterns among meteorological multivariate time series, yet frequently fail to maintain weather-specific physical properties such as strict values constraints, while also incurring the significant computational costs of large parameter scales. In this paper, we present a novel deep learning plug-and-play framework named Post Constraint and Correction (PCC) to address these challenges by incorporating additional constraints and corrections based on weather-specific properties such as multivariant correlations and physical-based strict value constraints into the prediction process. …”
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Applications and challenges of biomarker-based predictive models in proactive health management by Qiming Zhao, Qiming Zhao, Chen Zhang, Chen Zhang, Wanxin Zhang, Shengchuan Zhang, Qiyuan Liu, You Guo, You Guo, You Guo

“…Critical challenges hindering their implementation include data heterogeneity, inconsistent standardization protocols, limited generalizability across populations, high implementation costs, and substantial barriers in clinical translation. …”
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Transforming Care: Exploring Consumer and Pharmacist Perceptions of Expanded Pharmacy Practice in Rural and Remote Communities by Selina Taylor, Shelby Joyce, Ruby Schembri, Josh Swain, Rachael Turiano, Beverley D. Glass

“…Pharmacists highlighted the need for better reimbursement models and professional collaboration, while consumers valued accessibility and convenience but were concerned about the costs of services. This study has highlighted the benefits of expanded pharmacy services as perceived by the key stakeholders: consumers and pharmacists. …”
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Optimal allocation of urban land space based on NSGA2 by Yi Guo, Chaoqin Bai, Peiwen Zhao

“…Based on this, the study adopts the optimization goals of maximizing gross domestic product (GDP), reducing aerosol optical thickness and non-point source pollution (NPSP) load, and reducing land use change costs and incongruity. Three constraints are set simultaneously, including minimum construction land, water body, and cultivated land area. …”
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Crushed Stone Grain Shapes Classification Using Convolutional Neural Networks by Alexey N. Beskopylny, Evgenii M. Shcherban’, Sergey A. Stel’makh, Irina Razveeva, Alexander L. Mailyan, Diana Elshaeva, Andrei Chernil’nik, Nadezhda I. Nikora, Gleb Onore

“…These models provide for the complete automation of crushed stone grain typing, leading to reduced labor costs and a decreased likelihood of human error.…”
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Wind and grid energy-based onshore beach charging station for electric vehicles: An integration infrastructure with techno economics, sustainable mobility, and environmental protec... by Anis ur Rehman, Muhammad Fahad Zia, Harism. Khalid, Zafar Said, S.M. Muyeen

“…The results show the high potential of the proposed infrastructure to reduce energy costs by nearly 50% through the incorporation of wind energy and lessen carbon emissions by 64% .© 2017 Elsevier Inc. …”
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Design and assessment of a multiplex real-time PCR method for simultaneous detection and differentiation of COVID-19 and Influenza A/B by Nafiseh Fotros, Reihaneh Bashiri, Samira Mohammadi-Yeganeh, Mahdi Paryan

“…Compared to existing detection kits, it offers higher accuracy, lower costs, and faster results, making it an efficient diagnostic tool. …”
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Enhanced nonlinear equalization for OFDM systems in IoT-based intelligent transportation using CGLS algorithms by Jafar Ababneh, Hani Attar, Zakaria Che Muda, Ilhami Colak, Mohanad A. Deif, Samir Bendoukha, Ahmed Solyman

“…Simulation results show that the proposed methods significantly reduce bit error rates and achieve up to a 5 dB performance improvement over traditional approaches, while keeping computational costs low enough for real-time IoT applications. …”
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DIGITALIZATION IN AGRICULTURE AS A DRIVER OF INDUSTRY GROWTH by A. V. Soldatenko, A. F. Razin, M. V. Shatilov, M. I. Ivanova, O. V. Rossinskaya, O. A. Razin, T. N. Surikhina

“…All this will be achieved due to lower production costs, higher yields, increased gross margin, expansion of the market, attracting highly qualified specialists and investors in the agricultural sector. …”
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Minimally invasive approach for the treatment of pancreatic pseudcyst. Transgastric drainage - where we are now? by Perišić Nenad, Bezmarević Mihailo, Doder Radoje, Mirković Darko, Brčerević Irina, Petrović Stanko

“…Minimally invasive approach for the treatment of acute pancreatitis (AP) and its complications has proven to reduce morbidity and mortality rate, length of hospitalization and costs of treatment, and improve quality of life of the patients. …”
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SD-YOLOv8: Automated Motion Detection System for Aerobics Students by Lian Tang, Ya Li, Qing Du, Jincheng Liang

“…Existing object detection algorithms are often constrained by the high computational costs associated with large network structures in practical applications. …”
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Near-Infrared Spectroscopy and Machine Learning for Fast Quality Prediction of Bottle Gourd by Xiao Guo, Hongyu Huang, Haiyan Wang, Chang Cai, Ying Wang, Xiaohua Wu, Jian Wang, Baogen Wang, Biao Zhu, Yun Xiang

“…Protein and amino acid content are the crucial quality parameters in bottle gourd, and traditional measurement methods for detecting those parameters are complicated, time-consuming, and costly. In this study, we employed NIRS along with machine learning and neural network-based methods to model and predict protein and free amino acids (FAAs) of bottle gourd. …”
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Dialysis Provision and Implications of Health Economics on Peritoneal Dialysis Utilization: A Review from a Malaysian Perspective by Mohd Rizal Abdul Manaf, Naren Kumar Surendra, Abdul Halim Abdul Gafor, Lai Seong Hooi, Sunita Bavanandan

“…Thus, a current comparative costs analysis of dialysis is strongly recommended to assist decision-makers to establish a more equitable and economically sustainable dialysis provision in the future.…”
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