Hippocampal Functional Radiomic Features for Identification of the Cognitively Impaired Patients from Low-Back-Related Pain: A Prospective Machine Learning Study by Yang Z, Liang X, Ji Y, Zeng W, Wang Y, Zhang Y, Zhou F

“…Additionally, radiomic wavelet features were correlated with Montreal Cognitive Assessment (MoCA) and Hamilton Anxiety Scale, present pain intensity scores in cognitively impaired LBLP patients (P < 0.05, with Bonferroni correction).Conclusion: Hippocampal functional radiomic features are valuable for diagnosing cognitively impaired patients from LBLP.Keywords: cognitive impairment, resting-state functional MRI, low-back-related leg pain, radiomic, logistic regression algorithm…”
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Continuous underground observation of the geomagnetic field in Xuzhou City, North China, and its time-varying characteristics by Mei Han, Mei Han, Lianghui Guo, Lianghui Guo, Lianghui Guo, Yun Wang, Yun Wang, Xiang Wang, Xiang Wang

“…Furthermore, we analyzed the features of the wavelet spectrum of these observed data, variation curves of the geomagnetic field, and coupling of the geomagnetic-field variations between underground and ground. …”
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Automation of quantum dot measurement analysis via explainable machine learning by Daniel Schug, Tyler J Kovach, M A Wolfe, Jared Benson, Sanghyeok Park, J P Dodson, J Corrigan, M A Eriksson, Justyna P Zwolak

“…To ameliorate this trade-off, a recent study introduced an image vectorization approach that relies on the Gabor wavelet transform (Schug et al 2024 Proc. XAI4Sci: Explainable Machine Learning for Sciences Workshop (AAAI 2024) (Vancouver, Canada) pp 1–6). …”
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Function mechanism of turbulent eddy and process intensification of particle-bubble collision in fine mineral flotation by Xiaoheng LI, Hainan WANG, Kaixin ZHENG, Lijun WANG, Xiaokang YAN, Haijun ZHANG, Jiongtian LIU

“…With the help of mathematical methods such as wavelet transform, the multi-scale eddy characteristics of the turbulent flow field were mathematically decomposed, and the influence of small-scale eddy motion on the particle and bubble motion and collision processes was analyzed at the micro turbulence level. …”
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Evolution mechanisms of the scratch-induced elastoplastic stress fields and crack damage in γ-TiAl alloys by Zhaoqing Zhang, Kaining Shi, Yaoyao Shi, Huhu Li, Danni Lu, Yujie Kuang, Jiacheng Liu

“…In this study, scratch experiments were conducted to simulate the material removal process during grinding. The discrete wavelet transform (DWT) was applied to analyze load signals during the scratching process, enabling the precise identification of the plastic-to-brittle transition domain and the critical cutting depth for γ-TiAl alloys, and clarifying the damage mechanisms under different cutting depths. …”
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Developing a multivariate drought index to assess drought characteristics based on the SWAT-Copula method in the Poyang Lake basin, China by Liping Guo, Fusheng Chen, Bin Wang, De Li Liu, Xiulong Chen, Hongsheng Huang, Hua Bai, Kaitao Liao, Zhiming Xia, Keyu Xiang, Linchao Li, Taihui Zheng, Qiang Yu

“…We found that (1) The SWAT can simulate monthly streamflow well with NS being 0.76–0.92 for validation data over the sub-basins in the PLB. (2) The MSDI index indicated that there were more drought events during 1960–1979 and 2000–2019, highlighting a cyclical pattern of drought events in the PLB. (3) The Xiushui River Basin encountered the most extreme drought conditions since 2000, indicating the basin faced a high risk of dry conditions. Additionally, our wavelet period analysis showed an increase in drought frequency after the year 2000, with less distinct periodicity. …”
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Temporal and Spatial Patterns of Wind Erosion Climate Indices and Their Responses to Atmospheric and Oceanic Circulation Patterns in the Chinese Mollisol Region over the Past 61 Ye... by HU Wentao, ZHENG Fenli, GAO Xiaoyu, ZHENG Runhe, FU Jinxia, LI Zhi, ZHANG Jiaqiong

“…The research methods included the moving average, Mann-Kendall test and multiple wavelet coherence. [Results] The occurrence frequency of ≥ 5 m/s threshold wind speed of transporting sand varied from 5 to 30 times per season, daily maximum wind velocity varied from 6.1 to 8.7 m/s, daily extreme wind velocity varied from 9.8 to 12.2 m/s, and wind erosion climatic erosivity varied from 19.5 to 101.1 in the Chinese Mollisol region form 1960 to 2020. …”
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Function spaces on the Koch curve by Maryia Kabanava

“…We compare these spaces and give their characterization in terms of Daubechies wavelets.…”
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Study on the Motion Patterns of Nested Test Cabin and Its Shock Response Spectrum Analysis by Wei Wu, Wei Luo, Xing Liu, Jia Cui, Pengyu Zhang

“…These oscillation wavelets occur when the critical acceleration of the test cabin reaches approximately 4700g. …”
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Monitoring the complexity of ventricular response in atrial fibrillation by H. Käsmacher, S. Wiese, M. Lahl

“…Atrial fibrillation does not present a uniform extent of variability of the ventricular response exemplifying periodicities and more complex fluctuations, due to varying number and shape of atrial wavelets and aberrant conduction in the AV-junction. …”
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Intelligent Time-Domain Parameters Matching for Shock Response Spectrum and Its Experimental Validation in Active Vibration Control Systems by Jinxin Liu, Liangdong Yang, Xingwu Zhang, Ruqiang Yan, Xuefeng Chen

“…Synthesis of a TSW using a group of wavelets with different frequencies, amplitudes, and phases is considered to be a very promising method. …”
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Researcb on Network Security Monitoring Model and Associated Algoritbm in tbe Age of Big Data by Lan Liu, Jun Lin, Jun Cai

“…Various types of heterogeneous data sources by data cleaning, and the key data through security event correlation, traffic rules based on wavelets and distributed sequence diagram model and other methods, were analyzed. …”
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Bivariate Chebyshev Polynomials to Solve Time-Fractional Linear and Nonlinear KdV Equations by Azam Zahrani, Mashaallah Matinfar, Mostafa Eslami

“…Two-variable second-kind Chebyshev wavelets (SKCWs) are constructed using one-variable ones; then, utilizing corresponding integral operational matrices leads to an approximate solution to the problem under study. …”
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A realistic 2D multi-offset, multi-frequency synthetic GPR data set as a benchmark for testing new algorithms by G. Roncoroni, P. Koyan, E. Forte, J. Tronicke, M. Pipan

“…We modeled four multi-offset GPR profiles at 50, 100 and 200 MHz frequencies using realistic wavelets. The data set provides a robust framework for validating advanced GPR algorithms and techniques such as pre-stack depth migration, amplitude versus offset analysis and full waveform inversion. …”
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Simulation of Electron Acoustic Wave Propagation in Non-Uniform Magnetized Plasma by Hamid Reza Pakzad

“…We also find that the electron density waves moves with a small wavelets around the central electron density even if the external magnetic field is constant.We propose to perform a laboratory experiment which will be able to identify the special new features of the electron acoustic waves propagation in a magnetized plasma with external varying magnetic field in which have been predicted in this investigation. …”
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Seismic Prediction of Porosity in the Norne Field: Utilizing Support Vector Regression and Empirical Models Driven by Bayesian Linearized Inversion by Jorge A. Teruya Monroe, Jose J. S. de Figueiredo, Carlos E. S. Amanajas

“…Furthermore, incorporating sparse spike wavelets with Bayesian Linearized Inversion refines the inversion output, facilitating the extraction of petrophysical properties. …”
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Systematic surveillance of SARS-CoV-2 reveals dynamics of variant mutagenesis and transmission in a large urban population by Marie-Ming Aynaud, Lauren Caldwell, Khalid N. Al-Zahrani, Seda Barutcu, Kin Chan, Andreea Obersterescu, Abiodun A. Ogunjimi, Min Jin, Kathleen-Rose Zakoor, Shyam Patel, Ron Padilla, Mark C. C. Jen, Princess Mae Veniegas, Nursrin Dewsi, Filiam Yonathan, Lucy Zhang, Amelia Ayson-Fortunato, Analiza Aquino, Paul Krzyzanowski, Jared Simpson, John Bartlett, Ilinca Lungu, Bradly G. Wouters, James M. Rini, Michael Gekas, Susan Poutanen, Laurence Pelletier, Tony Mazzulli, Jeffrey L. Wrana

“…Sequencing of the ACE2 receptor binding motif and polybasic furin cleavage site of the Spike gene in over 70,000 patients revealed that population sweeps of canonical variants of concern (VOCs) occurred in repeating wavelets. Furthermore, we found that VOC mutant derivatives and putative quasispecies that targeted functionally important residues and were found in future VOCs arose frequently, but were always extinguished. …”
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HPM-Based Dynamic Sparse Grid Approach for Perona-Malik Equation by Shu-Li Mei, De-Hai Zhu

“…The experiment results show that the dynamic choice scheme of the external gird points can eliminate the boundary effect effectively and the efficiency can also be improved greatly comparing with the classical interval wavelets numerical methods.…”
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Inversion for Geofluid Discrimination Based on Poroelasticity and AVO Inversion by Lingqian Wang, Hui Zhou, Bo Yu, Yanxin Zhou, Wenling Liu, Yukun Tian

“…Convoluting this linearized AVO approximation with seismic wavelets, the forward modeling is constructed to combine the prestack seismic records with the fluid modulus. …”
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Phase-Field-Based LBM Analysis of KHI and RTI in Wide Ranges of Density Ratio, Viscosity Ratio, and Reynolds Number by Xun Zhou, Bo Dong, Weizhong Li

“…However, when the density ratio and the Reynolds number both arrive at high levels, the Kelvin-Helmholtz wavelets aroused by a dominated inertia force of heavy fluid trigger severe interface disintegration. …”
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