Robust Predictive Control of PMSM via Dual-Loop Parameter-Disturbance Adaptation by Ran Zu, Nenghui Jiang, Yanhui Huang, Dong Xu

“…To address the control performance degradation caused by parameter mismatches and external disturbances in permanent magnet synchronous motor (PMSM) model predictive control, this study proposes a composite predictive control strategy integrating online parameter identification and disturbance observation. …”
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Growth Stages Discrimination of Multi-Cultivar Navel Oranges Using the Fusion of Near-Infrared Hyperspectral Imaging and Machine Vision with Deep Learning by Chunyan Zhao, Zhong Ren, Yue Li, Jia Zhang, Weinan Shi

“…Based on preprocessed spectra, optimally selected hyperspectral images, and registered RGB images, a dual-branch multi-modal feature fusion convolutional neural network (CNN) model is established. …”
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Carbon sequestration, emission reduction, and technical strategies of rice-crayfish farming in central China by Songwen Chen, Yao Guo, Pengli Yuan, Yang Jiang, Cougui Cao

“…In this study, we systematically evaluated the carbon sequestration and emission reduction effects of rice-crayfish farming through field experiment, carbon footprint assessment, and the DeNitrification-DeComposition (DNDC) model. Compared with rice monoculture, rice-crayfish farming increased the soil organic carbon (SOC) storage, and reduced the annual CH4 emissions, annual N2O emissions, and global warming potential (GWP) by 6.4, 2.4 and 6.2%, respectively. …”
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Effесt of Chеmiсаl Cоmposition оn thе Miсrоstruсture, Hаrdnеss, аnd Elесtrical Conductivity Profiles of the Bi-Gе-X (Gа, Cu, Zn) Allоys by A. Djordjević, M. Zečević, D. Minić, M. Kolarević, D. Manasijević, V. Ristić

“…Also, in all three tested systems hardness and electrical conductivity were measured and using appropriate mathematical models these properties were guided in the entire range of the composition. …”
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Convolutional transform learning based fusion framework for scale invariant long term target detection and tracking in unmanned aerial vehicles by Fatma S. Alrayes, Nazir Ahmad, Asma Alshuhail, Menwa Alshammeri, Ali Alqazzaz, Hassan Alkhiri, Jehad Saad Alqurni, Yahia Said

“…Nevertheless, owing to camera motion and composite environments, it is problematic to identify the UAV; conventional models frequently miss UAV detection and make false alarms. …”
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Progress on additive manufacturing technology of solid propellants by Christian Ingabire, Dao-lun Liang, Li-xiang Li

“…DIW faces challenges in managing increased viscosity at high solid and energetic content, leading to manufacturing difficulties and the need for binder system optimization. SLA struggles with maintaining resin transparency, balancing mechanical strength with other properties, optimizing curing parameters, and improving the bonding between matrix and solid particles.Future research is expected to focus on developing thermoplastic binders for FDM, exploring energetic copolymer binders and advanced rheological models for DIW, and creating high-energy photopolymer resins while optimizing the SLA process. …”
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Inactivation of Emerging Opportunistic Foodborne Pathogens <i>Cronobacter</i> spp. and <i>Arcobacter</i> spp. on Fresh Fruit and Vegetable Products: Effects of Emerging Chemical an... by Junior Bernardo Molina-Hernandez, Beatrice Cellini, Fatemeh Shanbeh Zadeh, Lucia Vannini, Pietro Rocculi, Silvia Tappi

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Water footprint management in textile industry through Acid Blue 113 remediation using halloysite nanoclay as a sustainable adsorbent by Mohammed A. H. Dhaif Allah, Syed Noeman Taqui, Usman Taqui Syed, Syida Aameera Yakuth, Razia Sulthana, Rayees Afzal Mir, Akheel Ahmed Syed, Shareefraza J. Ukkund, Majed Alsubih, Saiful Islam, Wahaj Ahmad Khan

“…Four two-parameter and six three-parameter isotherm models were used to analyze equilibrium data. The pseudo-first-order and pseudo-second-order models were applied in our adsorption kinetic investigations. …”
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A Comprehensive Approach to Instruction Tuning for Qwen2.5: Data Selection, Domain Interaction, and Training Protocols by Xungang Gu, Mengqi Wang, Yangjie Tian, Ning Li, Jiaze Sun, Jingfang Xu, He Zhang, Ruohua Xu, Ming Liu

“…Instruction tuning plays a pivotal role in aligning large language models with diverse tasks, yet its effectiveness hinges on the interplay of data quality, domain composition, and training strategies. …”
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Finite Element Analysis of Two-Way Reinforced Concrete Slabs Strengthened with FRP Under Flexural Loading by Ansam Qsymah, Mo’men Ayasrah

“…For example, increasing fc’ from 20 MPa to 80 MPa increased the predicted ultimate load for CFRP-strengthened slab from 15% to 62%. The FE model provides a suitable prediction for the ultimate strength and deformability of the strengthened two-way slabs that helps in better understanding of the performance of strengthened slabs and allows engineers to optimize design parameters.…”
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Quantifying the vegetation restoration mechanism of ecological projects on the Qingzang Plateau by Yang Chen, Guihua Yi, Xuan Zhu, Xiaobing Zhou, Tingbin Zhang, Bin Yang, Jingji Li, Xian Liu, Xianglong Ma

“…By quantifying the integrated effects of multiple ERPs, this study provides guidance for optimizing ecological policy and sustaining long-term ra2c: vegetation restoration on the QP.HIGHLIGHTS kNDVI on the Qingzang Plateau rises by 0.023/10a, and in project zones by 0.029/10aThe Natural Forest Conservation Program shows the highest vegetation recoveryHigher ecological engineering composite index leads to better vegetation recovery…”
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Processing, Microstructure, and Mechanical Behavior of Tungsten Heavy Alloys for Kinetic Energy Penetrators: A Critical Review by Rajneesh Patel, Gangaraju Manogna Karthik, Pawan Sharma

“…Furthermore, modeling and simulation approaches are being explored to understand the mechanical behavior of WHAs. …”
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Peculiarities of development and metabolism of <i>Streptococcus thermophilus</i> strains under different conditions of deep liquid phase cultivation by G. M. Sviridenko, O. M. Shukhalova, E. S. Danilova

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Reinjection of Produced Water into Formations in Unconventional Gas Reservoirs by Haosen Xing, Peng Zheng, Ping Yue, Yu Mu

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Experimental observation of the critical conditions and establishment of bifurcation set equation for chip flow angle catastrophe in transverse turning by Longjun Luo, Liangshan Xiong, Shaonan Zhang, Baoyi Zhu, Hongliang Yang

“…The optimization was carried out using a genetic algorithm, resulting in three possible models for the CFA catastrophe bifurcation set equation. …”
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Strength enhancements and quantitative paradigms in pervious concrete: A review by Rahesh Hari, Yan Zhuge, Mini K Madhavan

“…The review also emphasizes the growing role of quantitative paradigms, such as predictive modelling and optimization techniques, in mix design development and performance evaluation. …”
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A Numerical Study of the Sealing and Interstage Pressure Drop Characteristics of a Four-Tooth Three-Stage Brush Combination Seal by Chao Gu, Yingqun Ma, Wei Zhao, Xiuming Sui, Bin Hu, Qingjun Zhao

“…This study addresses the pressure imbalance phenomenon in four-tooth three-stage brush composite seals through a novel fractal–geometric porous-media model, rigorously validated against experimental data. …”
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Leveraging machine learning for sustainable solid waste management: A global perspective by Ajaya Subedi, Sahil Shrestha, Anish Ghimire, Shukra Raj Paudel

“…In light of these challenges, this study primarily accentuates the transformative potential of Machine Learning (ML) for sustainable waste management. ML models offer promising solutions for projecting waste composition and generation trends while optimizing resource distribution by analyzing key influential factors. …”
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Integrated Computational Materials Engineering of Fire-Resistant Steels by Alireza Zargaran, Timothy Alexander Listyawan, Shailendra Kumar Verma, Ji Hoon Kim, Jeremy Dudo, Changning Niu, Abhinav Saboo, Jiadong Gong, Hongseok Yang, Kyoungdoc Kim

“…We explore a wide compositional space of low-carbon steel, containing 11 alloying elements, assess its feasibility for fire-resistant applications via modeling yield strength at elevated temperatures. …”
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Three-dimensional dynamics of mesothelin-targeted CAR.CIK lymphocytes against ovarian cancer peritoneal carcinomatosis by Federica Galvagno, Valeria Leuci, Annamaria Massa, Chiara Donini, Ramona Rotolo, Sonia Capellero, Alessia Proment, Letizia Vitali, Andrea Maria Lombardi, Valentina Tuninetti, Lorenzo D’Ambrosio, Alessandra Merlini, Elisa Vigna, Giorgio Valabrega, Luca Primo, Alberto Puliafito, Dario Sangiolo

“…Therefore, a comprehensive experimental model is crucial to optimize CAR-cell therapies in such a peculiar environment. …”
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