Effects of poultry by-product meal and complete replacement of fish oil with alternative oils on growth performance and gut health of rainbow trout (Oncorhynchus mykiss): a FEEDNET... by Imam Hasan, Simona Rimoldi, Biagina Chiofalo, Marianna Oteri, Micaela Antonini, Rosangela Armone, Violeta Kalemi, Laura Gasco, Genciana Terova

“…This globally used model serves as a tool for data interpretation and decision support in the context of precision fish farming. Methods Alternative protein and oil sources, including poultry by-product meal (PBM) and natural algae oil, were explored as sustainable replacements for fishmeal (FM) and fish oil (FO). …”
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The PM_2.5-Bound Polycyclic Aromatic Hydrocarbon Behavior in Indoor and Outdoor Environments, Part III: Role of Environmental Settings in Elevating Indoor Concentrations... by Gordana Jovanović, Mirjana Perišić, Timea Bezdan, Svetlana Stanišić, Kristina Radusin, Aleksandar Popović, Andreja Stojić

“…Unlike traditional source apportionment methods that assume linear source mixing, our approach integrates nonlinear interactions and contextual variables, such as meteorological conditions and outdoor pollutants, to better capture indoor air quality dynamics. …”
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Multi-clustering algorithm based on improved tensor chain decomposition by ZHANG Hongjun, ZHANG Zeyu, ZHANG Yingjiao, YE Hao, PAN Gaojun

“…Based on this, the application of tensor decomposition technology in multi-clustering algorithms was focused on especially for the processing of large multi-source heterogeneous datasets. The tensor train (TT) method was studied and improved in depth, which had significantly improved its performance in multi-clustering tasks by introducing a new optimization strategy. …”
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Thermal performance analysis of quaternary hybrid nanofluids with radiative and Joule heating effects in magnetohydrodynamic flow over a stretched surface by Faisal Mumtaz, A. Al-Zubaidi, Tasawar Abbas, S. Saleem

“…Hybrid nanofluids are considered for two-dimensional unsteady flow over porous stretched sheets under the influence of an inclined magnetic field and a non-uniform heat source/sink. The governing partial differential equations (PDEs) are transformed into a set of ordinary differential equations (ODEs), using appropriate transformation. …”
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Unrolled Optimization via Physics-Assisted Convolutional Neural Network for MR-Based Electrical Properties Tomography: A Numerical Investigation by Sabrina Zumbo, Stefano Mandija, Ettore F. Meliado, Peter Stijnman, Thierry G. Meerbothe, Cornelis A.T. van den Berg, Tommaso Isernia, Martina T. Bevacqua

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Artificial neural networking for computational assessment of ternary hybrid nanofluid flow caused by a stretching sheet: implications of machine-learning approach by Imad Khan, M. Waleed Ahmed Khan

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A High-Entropy True Random Number Generator with Keccak Conditioning for FPGA by Valeria Piscopo, Alessandra Dolmeta, Mattia Mirigaldi, Maurizio Martina, Guido Masera

“…This work presents a highly parameterized, open-source implementation of a TRNG based on ring oscillators, complemented by an optimized Keccak conditioning unit. …”
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Unlocking the thermoelectric potential of nanocrystalline magnesium selenide thin films grown by single stage horizontal tube furnace (SSHTF) by Anas Al Tarabsheh, A. Rehman, K. Javaid, Lamia Ben Farhat, A. Ali, K. Mahmood, M. Yasir Ali, S. Ikram, Jolly Jacob

“…We have observed some promising values of the Seebeck coefficient (7.175 × 10−5 V/°C) and power factor (6.35 × 10−8 Wm−1oC−2) at optimized source-to substrate distance. These encouraging results will open the door for MgSe-based thermoelectric research and further explore its power generation potential in the future.…”
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Urban Functional Zone Identification Based on Multimodal Data Fusion: A Case Study of Chongqing’s Central Urban Area by Yongchuan Zhang, Yuhong Xu, Jie Gao, Zunya Zhao, Jing Sun, Fengyun Mu

“…However, existing UFZ recognition methods face significant challenges, such as difficulties in effectively integrating multi-source heterogeneous data, capturing dynamic spatiotemporal patterns, and addressing the complex interrelationships among various data types. …”
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Evaluation of the Functional Properties and Edible Safety of Concocted Xanthii Fructus Protein by Yuchen Dong, Zihao Wan, Fuguo Han, Xuemei Fan, Yanli Hao, Fang Wei, Qingfei Liu

“…The concocting process could significantly improve its safety, and the concocted proteins were worth developing as a food source. In the future, the processing conditions should be further optimized and more systematic investigation should be performed to ensure the safety of XF as a food source.…”
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Embodied Intelligence Empowering Customized Manufacturing: Architecture, Opportunities, and Challenges by Jinbiao Tan, Jianhua Shi, Ligang Wu, Baotong Chen, Hao Tang, Chunhua Zhang, Wujie Zhang, Shiyong Wang, Jiafu Wan

“…However, current AI systems in CM remain isolated and lack methods for environmental interaction with multi-source perception and feedback, hindering the development of autonomous, evolving intelligent systems. …”
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Distributed robust scheduling of distribution-microgrid based on deep learning method integration by WANG Yihong, LIU Jichun, QIU Gao, ZHOU Hao, HE Peixin

“…Aiming at the problems such as the uncertainty of distributed power output and the low efficiency of operation in the coupled system scheduling of distribution network and microgrid, an optimized scheduling model of Branch-bar operation with chance constraint based on the integration of deep learning method for distribution network and microgrid interconnection system is proposed. …”
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A Systematic Analysis of a Small-Scale HAWT Configuration and Aerodynamic Performance Optimization Through Kriging, Factorial, and RSM Methods by Farzad Ghafoorian, Hui Wan, Sahel Chegini

“…This study explores the impact of design parameters, including rotor diameter, hub diameter, blade number, blade chord length distribution, twist angle distribution, and airfoil profile, on the turbine power coefficient. Subsequently, optimization efforts are applied to the results obtained for a 3-blade rotor with SG6043 airfoil profile using three distinct optimization methods: Kriging, factorial, and the classical polynomial Response Surface Method (RSM). …”
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Optimizing processing methods for maximum bioactive retention: comparative metabolomic analysis of dried loquat (Eriobotrya japonica) flowers and their powdered extracts by Mingzheng Duan, Jieming Feng, Jing-Han Feng, Xi Wang, Xu Xiao, Shirong He, Hengcui Guo, Wenyan Zhang, Zhumao Jiang, Tongfa Wan, Muhammad Junaid Rao

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Adaptive Optimization and Planning Design Method for DC Distribution Grid System Based on Optical Storage Direct and Flexible Constructed Cluster by Chenghui Lin, Zhanpeng Xu, Qihui Feng, Wuliang Chen, Jianyang Zhu

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Alzheimer’s Prediction Methods with Harris Hawks Optimization (HHO) and Deep Learning-Based Approach Using an MLP-LSTM Hybrid Network by Raheleh Ghadami, Javad Rahebi

“…This study aims to address these limitations by developing an integrated approach combining swarm intelligence with ML and DL techniques for Alzheimer’s disease classification. <b>Method:</b> This proposal methodology involves sourcing Alzheimer’s disease-related MRI images and extracting features using convolutional neural networks (CNNs) and the Gray Level Co-occurrence Matrix (GLCM). …”
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Generic Method for Social–Environmental System Boundary Delineation—An Amalgamation of Spatial Data Integration, Optimization, and User Control for Resource Management by Mohammad Shahriyar Parvez, Xin Feng

“…The framework’s reliance on open-source tools further enhances its accessibility and reproducibility, making it a valuable contribution to SES research and practical environmental management.…”
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Methodology of statistical synthesis and analysis methods for stochastic signal processing in multi-antenna radio direction finders by Eduard Tserne, Yevhen Holovynskyi, Olha Zhyla

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Optimal Coil Design and irDA-Based Communication Method for Auto-Guided Vehicles With Thermally Stable and High-Efficiency Operation by Kang M. Seo, Eun S. Lee

“…In this paper, an optimal coil design methodology for inductive power transfer (IPT) systems is proposed, providing a systematic and practical approach for coil designers working with voltage-source-based series-series topologies. …”
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Exploring the Use of <i>Tenebrio molitor</i> Larvae Proteins to Functionalize Durum Wheat Pasta by Serena Carpentieri, Agnieszka Orkusz, Joanna Harasym, Giovanna Ferrari

“…Conclusions: The findings demonstrated the potential of TM flour as a unique source of bioactive compounds enhancing both the nutritional and functional properties of durum wheat pasta. …”
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