Sensitivity analysis and optimization of heat transfer in the time-reliant magnetohydrodynamic bioconvective flow of radiative couple-stress hybrid nanofluid through a squeezing ch... by Seetalsmita Samal, Surender Ontela

“…Later, solved via a semi-analytical technique, HAM (homotopy analysis method). According to the outcomes of the comparison, the hybrid nanofluid (blood/SWCNT-MWCNT) outperforms the nanofluid (blood/SWCNT) in terms of thermal performance. …”
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Gird Congestion Management Based on the Renewable Energy Zones and Clustering of Grid Congestion Conditions by Yujiro Tanno, Akihisa Kaneko, Yasuhiro Hayashi, Yuki Itoda, Wataru Wayama, Kevin Tomsovic

“…This study proposes a novel output curtailment method of renewable energy sources (RESs) to mitigate grid congestion while balancing curtailment minimization and fairness among power producers, considering the operational efficiency of system operators. …”
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Frequency regulation of two-area thermal and photovoltaic power system via flood algorithm by Serdar Ekinci, Davut Izci, Cebrail Turkeri, Aseel Smerat, Absalom E. Ezugwu, Laith Abualigah

“…The proposed FLA-based PI controller achieved a reduction in maximum overshoot by 28.3 %, a decrease in settling time by 23.4 %, and an improvement in steady-state error by 15.7 % compared to the next best-performing optimization method. These results demonstrate the significant advantages of the FLA in optimizing frequency regulation.…”
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The impact of digitalization on logistics costs of companies by S. A. Frolkin

“…The purpose of the study is to give the author’s definition of digitalization in the logistics sphere, to determine its role in the processes occurring in the industry, and to reflect the impact of these processes on companies’ costs. Using the method of systematic analysis of scientific sources and regulatory documents governing the sphere, the trends of digital transformation of companies in the field of logistics, which are relevant today, have been investigated. …”
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A two-stage distributionally robust CVaR-constrained framework and its approximations for self-scheduling microgrid by Chen Zhang, Jinbao Jian, Linfeng Yang

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Financial resources of the enterprise and the capital of the organization: content, structure and evaluation (agricultural artel «Kuban») by A. B. Urusova

“…Materials and methods. The article studies scientific papers on the topic of building an optimal policy of financial management, as well as on the analysis of the balance sheet, the report on financial results, other forms of accounting statements of the agricultural enterprise agricultural artel "Kuban". …”
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GOMFuNet: A Geometric Orthogonal Multimodal Fusion Network for Enhanced Prediction Reliability by Yi Guo, Rui Zhong

“…Integrating information from heterogeneous data sources poses significant mathematical challenges, particularly in ensuring the reliability and reducing the uncertainty of predictive models. …”
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From Reality to Virtuality: Revolutionizing Livestock Farming Through Digital Twins by Elanchezhian Arulmozhi, Nibas Chandra Deb, Niraj Tamrakar, Dae Yeong Kang, Myeong Yong Kang, Junghoo Kook, Jayanta Kumar Basak, Hyeon Tae Kim

“…This research provides an overview of the current landscape of digital transformation in the livestock sector, emphasizing applications in animal monitoring, environmental management, precision agriculture, and supply chain optimization. Our findings highlight the need for high-quality data, comprehensive data privacy measures, and integration across varied data sources to ensure accurate and effective DT implementation. …”
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A novel hybrid adaptive strategy for real-time dispatch and scheduling in renewable-integrated EV charging stations by Guo Hao, Qiu Pengfei, Zhang Jiahui, Bai Xiang, Yan Laiqing, Zia Ullah

“…Unlike existing studies that treat power dispatch and EV scheduling as separate tasks or rely on heuristic methods, the proposed HADS model employs a Mixed-Integer Linear Programming (MILP) approach to co-optimally dispatch real-time energy and charge EVs within a unified decision-making framework. …”
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Methodology for Developing a Composite Social Development Index (CSDI): Essential Decisions and Results by Mehdi Mobaraki, Zohre Shahbazi, Najme Mostafavi

“…This article explored the methodological decisions involved in creating a Composite Social Development Index (CSDI) in Iran, addressed the associated challenges, and proposed new methods to clarify this issue.     Materials & Methods In this study, we adopted the method developed by Nardo et al. for constructing the composite index. …”
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Characterizing Continuous Gravitational Waves from Supermassive Black Hole Binaries in Realistic Pulsar Timing Array Data by Emiko C. Gardiner, Bence Bécsy, Luke Zoltan Kelley, Neil J. Cornish

“…Anticipating a continuous gravitational-wave (CW) detection from a single binary soon to follow, we examine how well current Bayesian methods can detect CWs and characterize their binary properties by modeling the response of the NANOGrav 15 yr pulsar timing array to simulated binary populations. …”
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Soil moisture retrieval and spatiotemporal variation analysis based on deep learning by Zihan Zhang, Jinjie Wang, Jianli Ding, Jinming Zhang, Liya Shi, Wen Ma

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Investigating the Electrochemical Characteristics of Lithium Vanadium Phosphate Cathode Synthesized by the Solution Combustion Method Utilizing Cetyltrimethylammonium Bromide as a... by Mohammad Tahernejad Javazm, Masoud Hasheminiasari, Seyed Morteza Masoudpanah

“…Introduction and Objectives: Optimization of vanadium phosphate compounds through the control of synthesis methods plays a key role in enhancing their performance. …”
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Simple, sensitive and specific detection method for polystyrene nanoplastics in food matrix based on peptide-modified Fe3O4@Au magnetic nanoparticles by Beibei Wang, Ling Sun, Kai Liu, Di Wu, Jinqiu Wang, Fang Geng

“…The peptide modified Fe3O4@Au probe (Fe3O4@Au-PSBP) showed excellent linearity in the range from 0 to 80 pg mL−1 with the limit of detection (LOD) of 0.074 pg mL−1. The method has been successfully applied in real samples, such as bottled water, salt and milk with the recoveries from 89.15 % to 110.91 %. …”
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Decision-Making Process of Home and Social Care Professionals Using Telemonitoring of Activities of Daily Living for Risk Assessment: Embedded Mixed Methods Multiple-Case Study by Renée-Pier Filiou, Mélanie Couture, Maxime Lussier, Aline Aboujaoudé, Guy Paré, Sylvain Giroux, Hubert Kenfack Ngankam, Patricia Belchior, Carolina Bottari, Kevin Bouchard, Sébastien Gaboury, Charles Gouin-Vallerand, Faustin Armel Etindele Sosso, Nathalie Bier

“…ObjectiveThis paper aims to describe (1) how ADL telemonitoring data are used by clinicians to maintain care recipients with cognitive deficits at home and (2) the impact of ADL telemonitoring on home care service delivery. MethodsWe used an embedded mixed methods multiple-case study design to examine 3 health institutions located in the greater Montreal region in Quebec that offer public home care services. …”
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A reliable mixed-integer linear programming formulation for data-driven model predictive control in buildings by Peter Klanatsky, François Veynandt, Christian Heschl

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New anchovy burgers: a sustainable and nutritious alternative to red meat in fast food by Giovanni Luca Russo, Antonio L. Langellotti, Rossella Di Monaco, Gabriele Buonocunto, Francesca Colonna, Nunzio Velleca, Anna Ilaria Di Paola, Lucia Avella, Silvana Cavella, Paolo Masi

“…Abstract This study presents an innovative anchovy burger formulation optimized using response surface methodology and Ideal Profile method. …”
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A Versatile Algorithm for Autofocusing SAR Images by A. A. Monakov

“…This method has been referred as the MM optimization in scientific literature. …”
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Comparison of magnetron sputtering systems for high-rate deposition of thick copper layers for microelectronic applications by M. V. Nazarenko

“…The choice of the deposition method depends on the problem to be solved. The rotatable magnetron system can be considered optimal in terms of cost, deposition rate, and quality of the deposited layers. …”
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CART-ANOVA-Based Transfer Learning Approach for Seven Distinct Tumor Classification Schemes with Generalization Capability by Shiraz Afzal, Muhammad Rauf, Shahzad Ashraf, Shahrin Bin Md Ayob, Zeeshan Ahmad Arfeen

“…This study introduces a novel CART-ANOVA (Cartesian-ANOVA) hyperparameter tuning framework, which differs from traditional optimization methods by systematically integrating statistical significance testing (ANOVA) with the Cartesian product of hyperparameter values. …”
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