Semi-analytical approach for solving the mathematical model of solid-phase diffusion in electrodes: An application of modified differential transform method by Shivaranjini S, Neetu Srivastava

“…Lithium-ion batteries (LIBs) have powered the modern world to propel electric vehicles (EVs) and renewable energy sources. These technologies demand higher efficiency and reliability, thereby providing robust mathematical methods are essential for optimizing species diffusion in lithium-ion (Li-ion) cells. …”
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Development and Evaluation of Indigenous Natural Dyes: Extraction Methods, Absorption Efficiency, and Color Fastness on Eri Silk by Priyanku Sarma, Femina Bano Choudhury, Devajit Basumatari, Karabi Kalita, Sasanka Sekhar Ghosh, Binita Basnet Baruah, Shamim Rahman, Jinti Das, Banasri Mech, Sangita Das, Pinky Baruah, Himangshu Baruah, Sanjib Khargharia, Tarali Kalita

“…The study assessed the fastness of washing and light exposure, resulting in the optimization of a standard dyeing recipe for Eri silk with each dye source. …”
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Comparative Analysis of Generative Artificial Intelligence Systems in Solving Clinical Pharmacy Problems: Mixed Methods Study by Lulu Li, Pengqiang Du, Xiaojing Huang, Hongwei Zhao, Ming Ni, Meng Yan, Aifeng Wang

“…ObjectiveThis study aims to quantitatively evaluate and compare the performance of 8 mainstream generative AI systems across 4 core clinical pharmacy scenarios—medication consultation, medication education, prescription review, and case analysis with pharmaceutical care—using a multidimensional framework. MethodsForty-eight clinically validated questions were selected via stratified sampling from real-world sources (eg, hospital consultations, clinical case banks, and national pharmacist training databases). …”
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Targets Spatial Coordinates Calculation in Angle-Difference Rangefinder Passive Location Complexes by Numerical Iterative Methods by A. A. Dmitrenko, S. Y. Sedyshev

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Predicting Three-Dimensional (3D) Printing Product Quality with Machine Learning-Based Regression Methods by Ahmet Burak Tatar

“…Machine learning-based regression models were employed to optimize product quality. The open-source "3D Printer Material Requirement" dataset obtained from the Kaggle platform was utilized to predict product quality. …”
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A Narrative Review on Manufacturing Methods Employed in the Production of Mesenchymal Stromal Cells for Knee Osteoarthritis Therapy by Rasmus Roost Aabling, Maria Rusan, Anaïs Marie Julie Møller, Naija Munk-Pedersen, Carsten Holm, Brian Elmengaard, Michael Pedersen, Bjarne Kuno Møller

“…Specific attention was given to two key aspects: (1) the cell culture process employed in manufacturing of autologous or allogeneic MSC products, and (2) the post-culture methods employed in storage, reconstitution and administration of the MSCs. …”
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Feature fusion and selection using handcrafted vs. deep learning methods for multimodal hand biometric recognition by Saliha Artabaz, Layth Sliman

“…While combining multiple biometric sources can improve recognition accuracy, practical performance depends heavily on feature dependencies, redundancies, and selection methods. …”
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The RBF-FD and RBF-FDTD Methods for Solving Time-Domain Electrical Transient Problems in Power Systems by Duc-Quang Vu, Nhat-Nam Nguyen, Phan-Tu Vu

“…The algorithm of selecting “optimal” shape parameters for our basis functions is also applied, specifically to increase the accuracy of the suggested methods with regard to high accuracy needs. …”
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Research Trend On Healthcare (Hospital Financial) Failure And Activity-Based Costing Methods: A Bibliometric Analysis by Yurisal Akhmad Dany, Firman Pribadi

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Development of Energy-Efficient Modes of Installations for Heat Treatment of Concrete Products Using Numerical Calculation Methods by V. N. Romaniuk, A. M. Niyakovskii, A. N. Chichko, Yu. V. Yatskevich

“…The method is based on three-dimensional transfer equations, taking into account internal sources of heat release due to the ongoing hydration reaction of the active components of the cement clinker, and the boundary conditions corresponding to the structure of the processed product, as well as the type of heat technology device for accelerated hydration. …”
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Different bee-flower survey methods impact conservation recommendations: comparing citizen science and academic surveys by Jaco J.T.C. Visser, Leon Marshall, Jiří Hadrava, Pieter Vanormelingen, Arthur Dielens, Jean-Marc Molenberg, Nicolas J. Vereecken

“…These findings highlight the substantial impact of data collection methods on ecological recommendations. Awareness of such biases is essential for making sound, evidence-based conservation decisions. …”
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Intra-day dispatch method via deep reinforcement learning based on pre-training and expert knowledge by Yanbo Chen, Qintao Du, Huayu Dong, Tao Huang, Jiahao Ma, Zitao Xu, Zhihao Wang

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Identification of a Time-Dependent Source Term in Multi-Term Time–Space Fractional Diffusion Equations by Yushan Li, Yuxuan Yang, Nanbo Chen

“…Regarding the inverse problem, we prove the solution uniqueness and stability estimates based on interior measurement data. The source identification problem is reformulated as a variational problem using the Tikhonov regularization method, and an approximate solution to the inverse problem is obtained with the aid of the optimal perturbation algorithm. …”
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Investigating the Effects of Heating Rate and Granulation on Extracted Oil-Shale using Microwaves and Conventional Heating Methods by Hassan Naderi, Ali Shekarifard, Jaber Taheri shakib

“…It was found that microwave pyrolysis yielded more oil produced than the conventional method and improved the quality of the oil. An optimal particle size and heating rate can be established based on the results, sparking interest in further research to explore these possibilities.…”
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Methods for the Construction and Editing of an Efficient Control Network for the Photogrammetric Processing of Massive Planetary Remote Sensing Images by Xin Ma, Chun Liu, Xun Geng, Sifen Wang, Tao Li, Jin Wang, Pengying Liu, Jiujiang Zhang, Qiudong Wang, Yuying Wang, Yinhui Wang, Zhen Peng

“…Due to a lack of targeted algorithm optimization, existing software tools and methods are unable to meet the photogrammetric processing requirements of massive planetary remote sensing images. …”
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Carbon Footprint Assessment in Shrimp Pond Farming of Penaeus vannamei Based on Life Cycle Assessment Methods by Yunfei WANG, Xinmeng WANG, Ying LI, Jinzhen YU, Jie KONG, Jihong ZHANG

“…The predominant farming methods of P. vannamei in China include factory farming, semi-intensive ponds, small-shed cultures, and pond aquaculture. …”
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Data-driven modelling method and application based on energy multi-layer network structure of energy hub by Qingsen Cai, Luochang Wu, Chunyang Gao

“…Conventional modelling methods often treat energy sources separately, failing to capture the full dynamic interactions and operational complexities. …”
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Real-Time Multi-Agent Based Power Management of Virtually Integrated Microgrids Comprising Prosumers of Plug-in Electric Vehicles and Renewable Energy Sources by Nikolaos K. Sifakis, Fotis D. Kanellos

“…Future studies might concentrate on integrating the Internet of Energy (IoE) and implementing real-time Peer-to-Peer (P2P) energy transactions among participating agents, enhancing the capabilities of the proposed method and optimizing future energy 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

“…To address this limitation, this paper proposes a multi-source coordinated optimization strategy based on a bi-level programming model and an improved tent chaotic mapping-memory backtracking zebra optimization algorithm (TCM-MBZOA). …”
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A construction method of a multidimensional and multilingual association network for earth surface system science data by Qinjun Qiu, Mengqi Hao, Liufeng Tao, Jiandong Liu, Weijie Li, Yang Wang, Zhong Xie

“…We obtained metadata from several authoritative sources, including NESSDC, NASA, and Data.gov, and performed association calculations, constructed multidimensional association networks, and evaluated them for optimization. …”
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