Synthesis of Complex Discrete Filters by S. I. Ziatdinov, Y. V. Sokolova

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Minimal Clinically Important Difference for Worsening of the University of California San Diego Shortness of Breath Questionnaire in Patients With Idiopathic Pulmonary Fibrosis Wit... by Kerri I. Aronson, MD, Ganesh Raghu, MD, Sachin Gupta, MD, Jinnie Ko, PhD, Jacob Devine, MA, Jeffrey Swigris, DO

“…Previously, the minimal clinically important difference (MCID) for UCSD-SOBQ was estimated at 8 points for patients with IPF with severe impairment as determined by lung function tests. …”
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A Hierarchical and Self-Evolving Digital Twin (HSE-DT) Method for Multi-Faceted Battery Situation Awareness Realisation by Kai Zhao, Ying Liu, Yue Zhou, Wenlong Ming, Jianzhong Wu

“…Its hierarchical structure allows the integration of different estimation models, and the self-evolving method allows the method to adapt to changes in different operating conditions. …”
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Effects of variable thermo-physical characteristics on MHD ternary hybrid second-grade nanofluid in rotating Jeffery-Hamel flow by Ibrahim Mahariq, Rania Saadeh, Farhan Lafta Rashid, Ahmad Qazza, Mohamed Kezzar, Hamiden Abd El-Wahed Khalifa, Mohamed Rafik Sari

“…The fundamental equations undergo transformations from PDEs to ODEs through the use of similarity transformations. …”
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Validation of a human-serum-based in vitro growth method for drug screening on juvenile development stages of Schistosoma mansoni. by Valentin Buchter, Pierre H H Schneeberger, Jennifer Keiser

“…<h4>Methodology/principal findings</h4>We compared inter-batch variability of serum, worm size and organ development, gender distribution, and drug sensitivity between in vitro and in vivo grown worms over different life stages. In vitro developed S. mansoni in Hybridoma medium supplemented with 20% human serum were similar in size as in vivo worms until 28 days of incubation (males 1.4 ± 0.2 mm, females 1.1 ± 0.5 mm long). qPCR analysis revealed similar gender distribution both on newly transformed schistosomula and worms grown for 21 days. …”
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Removal of Artifcats in Electrocardiograms using Savitzky-Golay Filter: An Improved Approach by Nisha Raheja, Amit Kumar Manocha

“…In this paper, different techniques have implemented for the removal of noises. …”
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Comparative Analysis of the Time-Fractional Black–Scholes Option Pricing Equations (BSOPE) by the Laplace Residual Power Series Method (LRPSM) by Muhammad Imran Liaqat, Eric Okyere

“…The obtained results are compared in the sense of absolute errors against those of other approaches, such as the homotopy perturbation method, the Aboodh transform decomposition method, and the projected differential transform method. …”
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A New Method to Identify Reservoirs in Tight Sandstones Based on the New Model of Transverse Relaxation Time and Relative Permeability by Yuhang Guo, Baozhi Pan, Lihua Zhang

“…Therefore, a piece-wise method is used to calculate the fractal dimension in our transformation model. …”
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PuzText: Self-Supervised Learning of Permuted Texture Representation for Multilingual Text Recognition by Minjun Lu, Shugong Xu, Xuefan Zhang

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A New Tau Method for Solving Nonlinear Lane-Emden Type Equations via Bernoulli Operational Matrix of Differentiation by E. Tohidi, Kh. Erfani, M. Gachpazan, S. Shateyi

“…Also, under several mild conditions the error analysis of the proposed method is provided. Several examples are included to illustrate the efficiency and accuracy of the proposed technique and also the results are compared with the different methods. …”
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An Extensive Study Using the Beetle Swarm Method to Optimize Single and Multiple Objectives of Various Optimal Power Flow Problems by K. Sriram, S. P. Mangaiyarkarasi, S. Sakthivel, L. Jebaraj

“…The control variables, such as real generation of power, tap setting ratio of transformers, bus voltages magnitudes, and the values of shunt capacitor, are also optimized. …”
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A Credit Card Fraud Detection Algorithm Based on SDT and Federated Learning by Yuxuan Tang, Zhanjun Liu

“…Lastly, we conducted experimental validation on two financial datasets of different scales. The results on Dataset 1 and Dataset 2 show that our proposed SDT model surpasses traditional detection methods in terms of AUC-PR values (0.882, 0.816) and AUC-ROC values (0.982, 0.994). …”
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Abstractive Summarization of Historical Documents: A New Dataset and Novel Method Using a Domain-Specific Pretrained Model by Keerthana Murugaraj, Salima Lamsiyah, Christoph Schommer

“…Automatic Text Summarization (ATS) systems aim to generate concise summaries of documents while preserving their essential aspects using either extractive or abstractive approaches. Transformer-based ATS methods have achieved success in various domains; however, there is a lack of research in the historical domain. …”
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Site selection strategy for photovoltaic power plants construction on gangue hills: An integrated method based on GIS and AHP-TOPSIS by Fang Shi, Xiaodan Li, MIngrui Li, Bo Bai

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Accurate, automated classification of radiographic knee osteoarthritis severity using a novel method of deep learning: Plug-in modules by Do Weon Lee, Dae Seok Song, Hyuk-Soo Han, Du Hyun Ro

“…Recently, a plug-in module (PIM) that can be integrated into convolutional neural-network-based or transformer-based networks has been shown to provide strong discriminative regions for fine-grained classification, with results that outperformed the previous deep learning models. …”
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Fault Diagnosis Method for Main Pump Motor Shielding Sleeve Based on Attention Mechanism and Multi-Source Data Fusion by Nengqing Liu, Xuewei Xiang, Hui Li, Zhi Chen, Peng Jiang

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TCCFNet: a semantic segmentation method for mangrove remote sensing images based on two-channel cross-fusion networks by Lixiang Fu, Yaoru Wang, Shulei Wu, Jiasen Zhuang, Zhongqiang Wu, Jian Wu, Huandong Chen, Yukai Chen

“…However, due to the complexity of mangrove distribution and the similarity among different categories in remote sensing images, traditional image segmentation methods struggle to accurately identify mangrove regions. …”
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FRENCH SPORTS PR-TEXTS IN THE TRANSLATION ASPECT (BASES ON THE EXAMPLE OF THE FOOTBALL PRESS) by A.A. Salkhenova, I.A. Fedorova, L.G. Karandeeva

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Verification of normalized online signatures without calculating dynamic features by V. V. Starovoitov

“…A model of an individual image of human signatures is built without calculating dynamic features. The method of dynamic time transformation (DTW) is used to compare similar data of different signatures. …”
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A few-shot diabetes foot ulcer image classification method based on deep ResNet and transfer learning by Cheng Wang, Zhen Yu, Zhou Long, Hui Zhao, Zhenwei Wang

“…Considering the difficulty in obtaining clinical DFU images, it is a few-shot problem. Therefore, the methods include: (1) Data augmentation of the original DFU images by using geometric transformations and random noise; (2) Deep ResNet models selection based on different convolutional layers comparative experiments; (3) DFU classification model training with transfer learning by using the selected pre-trained ResNet model and fine tuning. …”
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