Variance Entropy: A Method for Characterizing Perceptual Awareness of Visual Stimulus by Meng Hu, Hualou Liang

“…Entropy, as a complexity measure, is a fundamental concept for time series analysis. Among many methods, sample entropy (SampEn) has emerged as a robust, powerful measure for quantifying complexity of time series due to its insensitivity to data length and its immunity to noise. …”
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The Oxford Needle Experience (ONE) scale: a UK-based and US-based online mixed-methods psychometric development and validation study of an instrument to assess needle fear, attitud... by Samantha Vanderslott, Andrew J Pollard, Michael Morrison, Jonathan Kantor, Robert C Carlisle

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Welding deviation measurement method based on molten pool image analysis by Zhongren WANG, Hai XIA, Xiaofeng MA, Wen ZHANG, Kepeng CHEN, Rongli ZHAO, Tielin SHI

“…To study the relationship between the trailing angle of the molten pool and the welding deviation, a linear regression method was used to design the experiment, and a linear regression mathematical model for predicting the trailing angle of the molten pool and the welding deviation was obtained. …”
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INVESTIGATION OF CEMENT CONCRETE CONGLOMERATE SOLIDIFICATION PROCESS BY IMPEDANCE SPECTROSCOPY METHOD by S. N. Bandarenka, P. V. Chulkin, G. A. Ragoisha, A. O. Kolikov, A. S. Bandarenka

“…An impedance spectroscopy method has been tried out and proposed as a tool for solution of the given problem.Experimental samples of cement concrete have been prepared for execution of tests, graded silica sand and granite chippings with particle size from 0.63 to 2.5 mm have been used as a fine aggregate in the samples. …”
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Multi-Dimensional Lithology Identification Method Based on Microresistivity Image Logging by LIU Juan, MIN Xuanlin, QI Zhongli, YI Jun, LAI Fuqiang, ZHOU Wei

“…In this paper, a multi-dimensional electrical imaging identification method based on the combination of shape and color is proposed for lithology identification. …”
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Fabrication of 1000-Line/mm orthogonal grating for Micro-Deformation field mapping by Xinyun Xie, Qinghua Wang, Xiaojun Yan

“…Moreover, in-situ tensile experiments on NBSC specimen in the [001] tensile direction were performed, and the evolution of the microscale plastic deformation fields was obtained by the sampling moiré method. …”
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Organising general practice for care homes: a multi-method study by Barbara Hanratty, Rachel Stocker, David Sinclair, Katie Brittain, Karen Spilsbury, Daniel Stow, Louise Robinson, Fiona E Matthews

“…Which are acceptable and associated with positive experiences for staff, residents and relatives? Methods Methods: survey of general practices working with care homes A fixed-response e-mail survey was designed for completion by practice managers, administrative staff or GPs in England. …”
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IMPROVEMENT OF SANITARY STATE OF SOILS IN THE POPULATED AREAS USING BIOREMEDIATION METHOD by O.O. Kulahin

“…Evaluation of the effectiveness of different types of biological products for purification of the soil, contaminated by oil products (OP) in the laboratory experiment and field conditions. Materials and methods. …”
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Nonlinear Determination Method for Self-Heating Initiative Temperature of Sulfide Ores by Huimin Jin, Wei Pan, Xue Shen, Shuangyi Cheng

“…The results indicate that the Hurst index of both ore samples in the experiment is greater than 0.5; moreover, the Hurst index in the later period of the experiment is greater than that of the earlier period. …”
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TDQE：a quality evaluation method for text data in deep learning by LUO Chunxu, XIONG Haixu, YE Yazhen, DING Yan, ZONG Shize, XIONG Yun, ZHU Yangyong

“…Comparative experiments were conducted on public datasets between TDQE and state-of-the-art methods, and the results demonstrated that TDQE outperformed existing mainstream algorithms.…”
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Lattice Boltzmann Method for Evaluating Hydraulic Conductivity of Finite Array of Spheres by Mário A. Camargo, Paulo C. Facin, Luiz F. Pires

“…Factors such as the media spatial variability, sample size, measurement method, and changes in the sample throughout the experiment directly affect K evaluations. …”
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Probability-Based Validation of the Forensic Method "Microscopic Analysis of Textile Fibers" by S. A. Smirnova, G. I. Bebeshko, I. P. Lyubetskaya, G. G. Omel’yanyuk, A. I. Usov

“…The probability of the right results of characteristics’ assessment is 30 times higher than the probability of false results.The results of the experiment permit the conclusion that the method is suitable to be used in forensic fiber examination when dealing with various tasks: classification, identification, situational and diagnostic.…”
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Straight Lines Detection Based on GA with New Modification on Baron's Method by Fawziya Ramo, Nidhal Al-Assady, Khalil Al-Saif

“…The proposed method has been applied in many of sample. The experiments show that the proposed hybrid method in this paper is achieves high performance and it produce 90% detection rate.…”
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Speaker verification method based on cross-domain attentive feature fusion by Zhen YANG, Tianlang WANG, Haiyan GUO, Tingting WANG

“…Aiming at the problem that the lack of structure information among speech signal sample in the front-end acoustic features of speaker verification system, a speaker verification method based on cross-domain attentive feature fusion was proposed.Firstly, a feature extraction method based on the graph signal processing (GSP) was proposed to extract the structural information of speech signals, each sample point in a speech signal frame was regarded as a graph node to construct the speech graph signal and the graph frequency information of the speech signal was extracted through the graph Fourier transform and filter banks.Then, an attentive feature fusion network with the residual neural network and the squeeze-and- excitation block was proposed to fuse the features in the traditional time-frequency domain and those in the graph frequency domain to promote the speaker verification system performance.Finally, the experiment was carried out on the VoxCeleb, SITW, and CN-Celeb datasets.The experimental results show that the proposed method performs better than the baseline ECAPA-TDNN model in terms of equal error rate (EER) and minimum detection cost function (min-DCF).…”
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Speaker verification method based on cross-domain attentive feature fusion by Zhen YANG, Tianlang WANG, Haiyan GUO, Tingting WANG

“…Aiming at the problem that the lack of structure information among speech signal sample in the front-end acoustic features of speaker verification system, a speaker verification method based on cross-domain attentive feature fusion was proposed.Firstly, a feature extraction method based on the graph signal processing (GSP) was proposed to extract the structural information of speech signals, each sample point in a speech signal frame was regarded as a graph node to construct the speech graph signal and the graph frequency information of the speech signal was extracted through the graph Fourier transform and filter banks.Then, an attentive feature fusion network with the residual neural network and the squeeze-and- excitation block was proposed to fuse the features in the traditional time-frequency domain and those in the graph frequency domain to promote the speaker verification system performance.Finally, the experiment was carried out on the VoxCeleb, SITW, and CN-Celeb datasets.The experimental results show that the proposed method performs better than the baseline ECAPA-TDNN model in terms of equal error rate (EER) and minimum detection cost function (min-DCF).…”
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Rationale for using the capacity method to assess the blending irregularity of heterogeneous textiles by Danila A. Yasneu, Dzmitry B. Ryklin

“…Until now, the capacitive method has not been used to assess the unevenness of mixing. …”
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Box drill training as an effective method to improve agility in futsal players by Dessy Ramadhanti, Syamsuramel Syamsuramel, Ahmad Richard Victorian

“…Research Objectives: This research aims to determine the effect of box drill exercises on agility ability in futsal extracurricular activities at state primary school 58 Lubuk Linggau. Methods: The method used in this research is quasi-experiment. …”
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Lightweight grape leaf disease recognition method based on transformer framework by Ning Zhang, Enxu Zhang, Guowei Qi, Fei Li, Cheng Lv

“…This study addresses the problems in grape leaf disease recognition under small-sample conditions, such as the difficulty in capturing multi-scale features, the minuteness of features, and the weak adaptability of traditional data augmentation methods. …”
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A Method for the Automatic Selection of Training Tasks in Learning Environment for IT Students by S. U. Rzheutskaya, M. V. Kharina

“…As a result of the computational experiment, decision trees were built for several disciplines that practice automatic verification of students’ decisions, i.e. there is data for forming a training sample.Results. …”
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A New Image Oversampling Method Based on Influence Functions and Weights by Jun Ye, Shoulei Lu, Jiawei Chen

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