Numerical approximations of groundwater flow problem using fractional variational iteration method with fractional derivative of singular and nonsingular kernels by Pravindra Kumar, Mahaveer Prasad Yadav

“…This study aims to present the numerical approximations of groundwater flow problem, namely the time-fractional Boussinesq equation using the fractional variational iteration method. …”
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Unveiling Nature’s Architecture: Geometric Morphometrics as an Analytical Tool in Plant Biology by Federica Spani, Vittoria Locato, Laura De Gara

“…Geometric morphometrics (GMM) is an advanced morphometric method enabling quantitative analysis of shape and size variations in biological structures. …”
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228 Visualizing impact: Operationalizing community engagement evaluation using the RE-AIM framework by Brian Do-Golden, Nicole Wolfe, Nicole MG Maccalla, Michele D. Kipke

“…Objectives/Goals: We operationalized our evaluation using the RE-AIM framework, by defining its dimensions as nodes within a net effect diagram in the form of radar charts to visually display group variation among nodes. …”
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APPLICATION OF DESCRIPTIVE STATISTICS METHODS IN CUSTOMS RISK ANALYSIS by O. E. Kudryavtsev, S. E. Tamrazyan

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Multiplicityof solution for a singular problem involving the $ \varphi $-Hilfer derivative and variable exponents by Wafa M. Shammakh, Raghad D. Alqarni, Hadeel Z. Alzumi, Abdeljabbar Ghanmi

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Fault Diagnosis Method of Rolling Bearing Based on Variational Modal Decomposition Multisynchrosqueezing Transform Combined With Long Short-Term Memory Networks by Tao Liang, Qingzhao Lv, Jianxin Tan, Yanwei Jing, Hexu Sun

“…Aiming at the characteristics of weak vibration signal, strong interference, unevenness and nonlinearity in rolling bearing faults, this paper proposes a bearing fault intelligent diagnosis method based on variational modal decomposition (VMD) and Multisynchrosqueezing transform (MSST). …”
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Spatiotemporal Variation Characteristics of Green Water Resource Consumption and Utilization Efficiency in Jiangxi Province by WU Zhi-ling, TU An-guo, NIE Xiao-fei, MO Ming-hao

“…[Objective] This study aims to conduct an in-depth analysis of the spatiotemporal variation characteristics of green water resource consumption and utilization efficiency in Jiangxi Province over the past two decades (2001-2020) to provide scientific support for regional water resource management and agricultural policy making. …”
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Regional practice variation in hysterectomy and the implementation of less invasive surgical procedures: A register‐based study in the Netherlands by Maarten D. H. Vink, France R. M. Portrait, Wouter J. K. Hehenkamp, Tim vanWezep, Xander Koolman, Marlies Y. Bongers, Eric J. E. van derHijden

“…Less invasive therapies are therefore advised before hysterectomy for women with fibroids or bleeding disorders. This study has two aims related to treating bleeding disorders and uterine fibroids in the Netherlands: (1) to evaluate the regional variations in prevalence and surgical approaches; and (2) to assess the associations between regional rates of hysterectomies and less invasive surgical techniques to analyze whether hysterectomy can be replaced in routine practice. …”
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GA-PE-VMD and MSE Methods for Milling Chatter Feature Extraction of Thin-walled Parts by WANG Hanbin, LI Maoyue, LIU Xianli, WANG Zhixue, MENG Boyang

“…Chatter leads to poor surface quality, dimensional error and reducing the service life of tools and machines.Therefore, a reliable detection method is needed to identify chatter.Aiming at the problem of chatter detection in the milling process of thin-walled structures, a chatter feature extraction method of thin-walled parts based on optimal variational mode decomposition and multi-scale sample entropy is proposed.Firstly, in order to solve the problem of parameter selection in variational modal decomposition, a parameter adaptive method based on genetic algorithm optimization and minimum permutation entropy is proposed. …”
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Multiple solutions for a singular fractional Kirchhoff problem with variable exponents by Najla Alghamdi, Abdeljabbar Ghanmi

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A VMD and CNN Combined Fault Diagnosis Method for Rolling Bearings by Li Kui, Sui Xin, Liu Chunyang, Li Jishun, Xu Yanwei, Yang Fang

“…Aiming at the difficulty of extracting fault features of rolling bearings under the influence of strong background noise, a rolling bearing fault diagnosis method based on the fusion of variational mode decomposition (VMD) and convolutional neural network (CNN) is proposed. …”
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Short-Term Power Load Prediction Method Based on VMD and EDE-BiLSTM by Yibo Lai, Qifeng Wang, Gang Chen, Yu Bai, Peiyu Zhao, Xiaojing Liao, Shuang Wu, Changyou Men, Quan Sun

“…A forecasting method is proposed combining Variational Modal Decomposition (VMD) and EDE-BiLSTM. …”
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EFFECT VARIATION OF TEMPERATURE AND STIRRING SPEED ON THE BENDING TEST OF FIBERGLASS FIBER COMPOSITE MATERIALS USING THE VACUUM ASSISTED RESIN INFUSION (VARI) METHOD by Ferry Setiawan, Faras Bimo Sakti, Dhimas Wicaksono

“…This study aims to investigate the effect of temperature with constant agitation at 164 rpm on the fabrication of composite materials using the Vacuum Assisted Resin Infusion (VARI) method. …”
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A Fault-Tolerant Localization Method for 5G/INS Based on Variational Bayesian Strong Tracking Fusion Filtering with Multilevel Fault Detection by Zhongliang Deng, Ziyao Ma, Haiming Luo, Jilong Guo, Zidu Tian

“…In this paper, for the needs of high-precision and high-continuity localization in complex environments, a modeling method based on time-varying noise and outlier noise is proposed, and variational Bayesian strong tracking filtering is used for 5G/INS fusion localization. …”
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Trade-Offs Between Simplifying Inertial Measurement Unit–Based Movement Recordings and the Attainability of Different Levels of Analyses: Systematic Assessment of Method Variations... by Manu Airaksinen, Okko Räsänen, Sampsa Vanhatalo

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A Study on Improved Langley Plot Calibration Methods Using Noise Reduction for Field Solar Spectral Irradiance (SSI) Observation Instruments by Guanrui Li, Aiming Zhou, Yu Huang, Xiaohu Yang, Zhanfeng Li

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RESEARCH ON FAULT DIAGNOSIS METHOD OF OIL VIBRATION BASED ON DS EVIDENCE THEORY AND MULTI-PARAMETER FUSION (MT) by LI Qing, LI ZhaoYang, WANG TianQin, CHEN WeiHua, ZHANG Min, CHEN Bin, NIE JianHong

“…Aiming at the problem that the traditional single vibration signal analysis method is not sensitive to gear wear in the early stage, radial basis function（RBF） neural network is used to establish the classification model of the fusion of vibration time domain features and oil features. …”
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Existence results for a discrete fractional boundary value problem by David Barilla, Martin Bohner, Giuseppe Caristi, Shapour Heidarkhani, Shahin Moradi

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Positive and sign-changing solutions for Kirchhoff equations with indefinite potential by Yan-Fei Yang, Chun-Lei Tang

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Seasonal Variation of Immune Hemolytic Anemia by Demircan Özbalcı, Ruveyda Sak, Emine Güçhan Alanoğlu

“…Many hematologic, as well as rheumatologic disorders,have seasonal variations but there have not been many studies evaluating the possibility of seasonal variation of immune hemolytic anemia.Methods: It was investigated whether the patients with immune hemolytic anemia who were diagnosed and followed in the hematology outpatient and inpatient clinic of Suleyman Demirel University from 2002 to 2018 had a significant seasonality. …”
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