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  1. 61

    Robust Adaptive Multiple Backtracking VBKF for In-Motion Alignment of Low-Cost SINS/GNSS by Weiwei Lyu, Yingli Wang, Shuanggen Jin, Haocai Huang, Xiaojuan Tian, Jinling Wang

    Published 2025-08-01
    “…To address the issue that low-cost SINS/GNSS cannot effectively achieve rapid and high-accuracy alignment in complex environments that contain noise and external interference, an adaptive multiple backtracking robust alignment method is proposed. The sliding window that constructs observation and reference vectors is established, which effectively avoids the accumulation of sensor errors during the full integration process. …”
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  2. 62

    Iterative Analysis of Nonlinear BBM Equations under Nonsingular Fractional Order Derivative by Gauhar Ali, Israr Ahmad, Kamal Shah, Thabet Abdeljawad

    Published 2020-01-01
    “…The concerned tool is formed when the Adomian decomposition method is coupled with some integral transform like Laplace. …”
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  3. 63

    Exact Nonlinear Spectral Analysis of Nonsmooth WENO-JS Solutions by Tamer H. M. A. Kasem

    Published 2023-01-01
    “…The NSM explains the behaviour of nonsmooth solutions because it is valid for arbitrary modified wave numbers (MWN). The NSM clarifies the effects of the time integration methods and the Courant number. …”
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  4. 64

    A Multi-Source Circular Geodesic Voting Model for Image Segmentation by Shuwang Zhou, Minglei Shu, Chong Di

    Published 2024-12-01
    “…While convolutional neural networks (CNNs) have achieved notable success by learning representative features from large datasets, they often lack geometric priors and global object information, limiting their accuracy in complex scenarios. Variational methods like active contours provide geometric priors and theoretical interpretability but require manual initialization and are sensitive to hyper-parameters. …”
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  5. 65

    Molecular breeding of pigs in the genome editing era by Jiahuan Chen, Jiaqi Wang, Haoran Zhao, Xiao Tan, Shihan Yan, Huanyu Zhang, Tiefeng Wang, Xiaochun Tang

    Published 2025-03-01
    “…However, these methods face challenges due to long breeding cycles and the necessity for beneficial genetic variation associated with high-quality traits within the population. …”
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  6. 66

    Affinely adjustable robust optimal scheduling of a power system considering the flexibility of supply and demand by Yumin Zhang, Yongchen Zhang, Xizhen Xue, Xingquan Ji, Yunqi Wang, Pingfeng Ye

    Published 2025-06-01
    “…Finally, simulations of a modified 6‐bus system and modified IEEE 57‐bus system validate the effectiveness of the proposed GLP‐AARO method for power system flexibility quantification and dispatch strategy optimization.…”
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  7. 67

    Vibration Tendency Prediction Approach for Hydropower Generator Fused with Multiscale Dominant Ingredient Chaotic Analysis, Adaptive Mutation Grey Wolf Optimizer, and KELM by Wenlong Fu, Kai Wang, Jiawen Tan, Kaixuan Shao

    Published 2020-01-01
    “…For this purpose, a novel hybrid approach combined with multiscale dominant ingredient chaotic analysis, kernel extreme learning machine (KELM), and adaptive mutation grey wolf optimizer (AMGWO) is proposed. Among the methods, variational mode decomposition (VMD), phase space reconstruction (PSR), and singular spectrum analysis (SSA) are suitably integrated into the proposed analysis strategy. …”
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  8. 68

    COMPARATIVE CHARACTERISTICS OF THE EFFECTIVENESS OF DIRECT AND INDIRECT RESTORATIONS ON TEETH WITH DISCOLORATION by I.V. Zhyvotovskyi, Yu.I. Sylenko, M.V. Khrebor

    Published 2019-09-01
    “…The obtained results were processed by the method of variational statistics using Student's test. …”
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  9. 69

    Advanced 3D Face Reconstruction from Single 2D Images Using Enhanced Adversarial Neural Networks and Graph Neural Networks by Mohamed Fathallah, Sherif Eletriby, Maazen Alsabaan, Mohamed I. Ibrahem, Gamal Farok

    Published 2024-09-01
    “…This paper presents a novel framework for 3D face reconstruction from single 2D images and addresses critical limitations in existing methods. Our approach integrates modified adversarial neural networks with graph neural networks to achieve state-of-the-art performance. …”
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  10. 70

    Optimal restoration algorithm for active distribution network considering island mode of the microgrids by J. Marín Quintero, J. Ayala Uribe, O. Bernal, C. Orozco Henao

    Published 2025-06-01
    “…The proposed strategy was validated using a modified IEEE 123-node test feeder with integrated Distributed Energy Resources (DERs), also,it was tested under three approaches: low and high automation penetration of controllable IEDs and special operating conditions such as load variation, topology change and cut off generation. …”
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  11. 71

    Walking in two worlds: insights from implementing a Tr’ondëk Hwëch’in approach to bridging knowledge systems in conservation and land use planning by Chrystal Mantyka-Pringle, Jody Beaumont, Chris Clarke, Natasha Ayoub, Piia Kortsalo, Stephanie Saal, Katie Fraser, Kiri Staples, Tr’ondëk Hwëch’in

    Published 2025-06-01
    “…We also explore how the conservation prioritization method and software, Zonation, can be modified with Indigenous cultural values and subsistence use areas. …”
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  12. 72

    Clinical and Biometric Factors Associated with Prediction Errors Related to Lens Position in Vitrectomized Patients by Eloi Debourdeau, Pierre Pineau, Chloe Chamard, Julien Plat, Didier Hoa, Frederico Manna, Sandrine Akouete, Thibault Mura, Max Villain, Nicolas Molinari, Vincent Daien

    Published 2025-01-01
    “… Introduction: The aim of the study was to evaluate clinical and biometric factors leading to a prediction error related to lens position in pars plana vitrectomy. Methods: This study was conducted as a consecutive retrospective case series at the Department of Ophthalmology, Montpellier University Hospital. …”
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  13. 73

    Replacing normalizations with interval assumptions enhances differential expression and differential abundance analyses by Kyle C. McGovern, Justin D. Silverman

    Published 2025-07-01
    “…Abstract Background Methods for differential expression and differential abundance analysis often rely on normalization to address sample-to-sample variation in sequencing depth. …”
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  14. 74

    Frequency regulation of PV-reheat thermal power system via a novel hybrid educational competition optimizer with pattern search and cascaded PDN-PI controller by Serdar Ekinci, Davut Izci, Ozay Can, Mohit Bajaj, Vojtech Blazek

    Published 2024-12-01
    “…The hECO-PS tuned PDN-PI controller achieved a minimum integral of time-weighted absolute error (ITAE) value of 0.4464, outperforming conventional methods like the modified whale optimization algorithm and sea horse algorithm, which yielded ITAE values of 2.6198 and 0.8598, respectively. …”
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  15. 75

    A microchip for exosome isolation that can be impregnated with imatinib simultaneously: an in vitro analysis by Amir Monfaredan, Fakher Rahim, Gholamreza Tavoosidana, Mohammad Hossein Modarressi, Alaviyehsadat Hosseininasab, Ali-Akbar Aghajani-Afrouzi, Mahdi Shafiee Sabet, Elahe Motevaseli

    Published 2024-03-01
    “…Background and Aims — Exosomes, which are tiny double-layered membranes originating from eukaryotic cells, have been recognized as a valuable natural vehicle for delivering substances because of their optimal size, compatibility with living organisms, strong structure, ability to carry a large amount of cargo, and capacity to be modified on their surface. Methods — Various strategies have been employed to isolate exosomes due to the challenges associated with maintaining their high purity. …”
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  16. 76
  17. 77

    Increasing and maintaining rates of standardized depression screening in youth with childhood-onset systemic lupus erythematosus in a pediatric rheumatology clinic by Emily Datyner, Jodi Dingle, Victoria Newsome, Lisa H. Buckley, Natasha Belsky, Seungweon Park, Manda Mitchell, Brooke Fine, Barron Patterson, T. Brent Graham, Alaina Davis

    Published 2025-01-01
    “…The aim of our quality improvement project was to increase and maintain rates of standardized depression screening for youth with cSLE seen within our pediatric rheumatology clinic. Methods Patients with cSLE 12 years of age or older seen for routine follow-up at our pediatric rheumatology clinic from September 16, 2019, through December 30, 2022, were offered the Patient Health Questionnaire-9 modified for adolescents (PHQ-A) to screen for depressive symptoms. …”
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  18. 78

    Optimal Active-Reactive Power Dispatch for Distribution Network With Carbon Trading Based on Improved Multi-Objective Equilibrium Optimizer Algorithm by Furong Tu, Sumei Zheng, Kuncan Chen

    Published 2025-01-01
    “…The IMOEO algorithm incorporates a Sobol sequence initialization method, dynamic adjustment factors, and particles that employ various evolutionary strategies based on the crowding distance. …”
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  19. 79

    Modular and efficient assembly of CRISPR vectors and construction of an apple gene editing efficiency evaluation system by HOU Feifan, HUANG Chuanmi, HAO Pengbo, CONG Liu, BAI Tuanhui, SHI Jiangli, WANG Miaomiao, LIU Yu, ZHAO Yujie, WAN Ran, SHEN Yawen, ZHANG Hengtao, ZHANG Kunxi, ZHENG Xianbo, JIAO Jian

    Published 2025-08-01
    “…We aim to develop a modular and efficient CRISPR vector system, optimize the Agrobacterium-mediated transient delivery system in apple plantlets, and establish a corresponding evaluation system for assessing the efficiency of gene editing in apple. [Methods] The conventional vectors pUC19 (DNA cloning plasmid) and pHK2 (Dicotyledonous gene editing plasmid based on pCAMBIA1300 modification) were firstly modified by inserting a pair of type Ⅱ S restriction enzyme sites (such as Esp3 Ⅰ or Bsa Ⅰ etc.) into selected positions, to construct the intermediate vector pUC19-Esp3 Ⅰ-Bb and the plant expression vector backbone pHK2-Bsa Ⅰ-Bb. …”
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  20. 80

    Magnetic soliton-based LIF neurons for spiking neural networks (SNNs) in multilayer spintronic devices by Kishan K. Mishra

    Published 2024-12-01
    “…Our proposed neuron model, implemented in fully connected and convolutional layers, achieves over 95% classification accuracy on the MNIST and Fashion MNIST datasets using a modified spike-based backpropagation method. With nanosecond latency, these spiking neuron devices, when integrated with CMOS, pave the way for high-density, energy-efficient neuromorphic computing hardware.…”
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