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  1. 1161

    Multi-Valve Coordinated Disturbance Rejection Control for an Intake Pressure System Using External Penalty Functions by Louyue Zhang, Duoqi Shi, Chao Zhai, Zhihong Dan, Hehong Zhang, Xi Wang, Gaoxi Xiao

    Published 2025-07-01
    “…This paper proposes a coordinated active disturbance rejection control (ADRC) scheme based on external penalty functions. The chamber pressure safety limit is formulated as an inequality-constrained optimization problem, and an exponential penalty together with a gradient based algorithm is designed for dynamic constraint relaxation, with guaranteed global convergence. …”
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  2. 1162

    Coloration and functionalization of organic cotton fabric using Chinese fringe leaf extraction: A greener approach by Md Shazzat Hossain, Mohammad Ullah, Rony Mia, Mohammed A. Assiri, Yahui Zhou, Haroon A.M. Saeed, Sakil Mahmud

    Published 2025-03-01
    “…The natural dyes were extracted from the Chinese fringe leaves and applied on OCF using different mordanting conditions for coloration and functionalization of the fabric. …”
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  3. 1163

    Identifying the potential of ovalbumin and its’ hydrolysates to be used in a liquid food system to develop functional beverages by Maggonage Hasini Udeshika Maggonage, Prabudhdha Manjula, Edirisingha Dewage Nalaka Sandun Abeyrathne, Dewei Shu, Xi Huang, Dong Uk Ahn

    Published 2025-01-01
    “…Ready-to-drink protein beverages have gained attention in the functional beverage market. This study examined the possibility of using ovalbumin and its hydrolysates to develop functional protein beverages. …”
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  4. 1164
  5. 1165

    Parkinson's disease-related pattern (PDRP) identified using resting-state functional MRI: Validation study by Andrea Rommal, An Vo, Katharina A. Schindlbeck, Andrea Greuel, Marina C. Ruppert, Carsten Eggers, David Eidelberg

    Published 2021-09-01
    “…Recently, we developed a fully non-invasive approach to identify analogous disease networks with resting-state functional MRI (rs-fMRI) using independent component analysis (ICA) and bootstrap resampling. …”
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  6. 1166
  7. 1167

    Enhancing Multi-Class Classification of Non-Functional Requirements Using a BERT-DBN Hybrid Model by Badzliana Aqmar Suris, Aris Thobirin, Sugiyarto Surono, Mohamed Naeem Antharathara Abdulnazar

    Published 2025-07-01
    “… Background: Software requirements classification is essential to group Non-Functional Requirements (NFR) into several aspects, such as security, usability, performance, and operability. …”
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  8. 1168

    Reconstruction of ionospheric VTEC using empirical orthogonal function and its performance during extreme geomagnetic storm by Rajat Acharya, Victor Dey

    Published 2025-05-01
    “…This paper demonstrates that the spatial distribution of the ionospheric TEC over the Indian region can be reconstructed with appreciable accuracy using minimal numbers of empirical orthogonal functions as a basis. …”
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  9. 1169
  10. 1170
  11. 1171

    An analysis of pacing profiles in sprint kayak racing using functional principal components and hidden Markov models. by Harry Estreich, Nicola Bullock, Mark Osborne, Edgar Santos-Fernandez, Paul Pao-Yen Wu

    Published 2025-01-01
    “…This study analysed sprint kayak pacing profiles in order to categorise and compare an athlete's race profile throughout their career. We used functional principal component analysis of normalised velocity data for 500m and 1000m races to quantify pacing. …”
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  12. 1172

    Cu removal from wastewater using a polyethersulfone- graphene oxide nanoparticles functionalized with chitosan membrane by Iman Khonsha, kobra salehi

    Published 2025-07-01
    “…In this study, graphene oxide (GO) nanoparticles were synthesized from a graphite precursor using a simplified Hummer method, and their surfaces were functionalized with chitosan to improve their dispersion and compatibility with the polymer matrix. …”
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  13. 1173

    Free Vibration Analysis of Bulkhead-Stiffened Functionally Graded Open Shell Using a Meshless Method by Songhun Kwak, Kwanghun Kim, Kyongjin Pang, Sok Kim, Pyol Kim

    Published 2022-01-01
    “…The bulkhead-stiffened FGOS is decomposed into several segments without bulkhead, and the equations of motion and boundary conditions for each segment are discretized by meshless strong form method, and the displacement components are approximated using meshfree Legendre–RIPM shape function using the combined basis of multi-quadrics (MQ) radial function and Legendre polynomials. …”
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  14. 1174

    Innovative machine learning-based prediction of early airway hyperresponsiveness using baseline pulmonary function parameters by Hua Yang, Xingru Zhao, Zhuochang Chen, Lihong Yang, Guihua Zhao, Chenxiao Xu, Jinyi Xu

    Published 2025-08-01
    “…This study explores the potential of baseline pulmonary function parameters, particularly small airway indices, in predicting AHR and develops a machine learning-based model to improve screening efficiency and reduce unnecessary BPT referrals.MethodsThis retrospective study analyzed baseline pulmonary function data and BPT results from Henan Provincial People’s Hospital (May to September 2024). …”
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  15. 1175

    Synergistic detection of E. coli using ultrathin film of functionalized graphene with impedance spectroscopy and machine learning by Amrit Kumar, Shweta Mishra, R. K. Gupta, V. Manjuladevi

    Published 2025-04-01
    “…This study presents a novel, label-free approach for E. coli detection using ultrathin Langmuir-Blodgett films of octadecylamine functionalized (ODA)-functionalized graphene on gold electrodes, with a detection range spanning $$10^{1}-10^{6}$$ colony-forming units/mL (CFU/mL). …”
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  16. 1176

    Connectome-based predictive modeling of handwriting and reading using task-evoked and resting-state functional connectivity by Junjun Li, Dai Zhang, Huan Ren, Ke Zhou, Yang Yang

    Published 2025-08-01
    “…In this study, we employed a connectome-based predictive modeling (CPM) approach to predict individual differences in handwriting skills using handwriting task-related and resting-state functional magnetic resonance imaging (fMRI) data. …”
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  17. 1177

    Ultrasound Improves Gallbladder Contraction Function: A Non-Invasive Experimental Validation Using Small Animals by Run Guo, Tian Chen, Fan Ding, Li-Ping Liu, Fang Chen, Gang Zhao, Bo Zhang

    Published 2025-06-01
    “…Gallbladder contractile function was evaluated through multiple complementary approaches: in vivo assessment via two-dimensional/three-dimensional ultrasound imaging to monitor volumetric changes; quantitative functional evaluation using nuclear medicine scintigraphy (<sup>99m</sup>Tc-HIDA); and ex vivo experiments including isolated gallbladder muscle strip tension measurements, histopathological analysis, α-smooth muscle actin (α-SMA) immunohistochemistry, and intracellular calcium fluorescence imaging. …”
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  18. 1178

    Optimisation of material composition in functionally graded plates using a structure-tuned deep neural network by Ryoichi Chiba, Takuya Kishida, Ryoto Seki, Seiya Sato

    Published 2024-12-01
    “…This study presents a neural network (NN)-based approach for optimising material composition in multi-layered functionally graded (FG) plates to minimise steady-state thermal stress. …”
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  19. 1179

    Predicting seizure onset zones from interictal intracranial EEG using functional connectivity and machine learning by Jared Pilet, Scott A. Beardsley, Chad Carlson, Christopher T. Anderson, Candida Ustine, Sean Lew, Wade Mueller, Manoj Raghavan

    Published 2025-05-01
    “…Abstract Functional connectivity (FC) analyses of intracranial EEG (iEEG) signals can potentially improve the mapping of epileptic networks in drug-resistant focal epilepsy. …”
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  20. 1180

    Identification of Urban Functional Area by Using Multisource Geographic Data: A Case Study of Zhengzhou, China by Jingzhong Li, Xiao Xie, Bingyu Zhao, Xiao Xiao, Jingxin Qiao, Wanxia Ren

    Published 2021-01-01
    “…Finally, the Zhengzhou city, which locates in Henan province of central China, was used to test the method. The results show that the developed method is efficient, accurate, and universal and can identify urban functional areas quickly and accurately. …”
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