Mitigate or exacerbate? Assessing digital engagement's impact on mental health inequalities across gender and urban–rural divides by Yangyang Wang, Chen Li

“…Existing researches have focused on the impact of digital inequalities on mental health, but there is lack of research exploring the impact of digital engagement on mental health inequalities. Methods Based on data from the China Family Panel Studies (CFPS) wave 2020, this study analyzed the effects of digital engagement on adult mental health and mental health inequalities using multinomial OLS models and RIF models. …”
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Global burden of metabolic-associated fatty liver disease among women of childbearing age: Trends from 1990 to 2021 and projections to 2040. by Jiaxing Li, Qihui Hu, Jiajie Leng, Baoyong Zhou, Cong Chen, Yaoyue Hu, Bingdi Chao, Zhenhao Huang, Zhenrui Cao, Zhongling An, Jixing Wang, Dingheng Hu, Rui Tao

“…Joinpoint regression and decomposition analysis were used to assess historical trends, and Bayesian Age-Period-Cohort (BAPC) modeling projected future burdens.…”
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Global, regional and national burdens of alcoholic cardiomyopathy among the working-age population, 1990–2021: a systematic analysis by Zhongkai Wang, Changyong Wu, Bingqing Zhang, Huang Sun, Wenjie Liu, Yuan Yang, Ying Gu, Lifei Pu, Lihui Zheng, Suli Bao, Yihua Luo, Ruijie Li, Yunzhu Peng

“…Decomposition analysis quantifies the contributor of disease burden in ACM. …”
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Analysis of the epidemiological characteristics and environmental influencing factors of mycoplasma pneumonia in Wuhan, China based on multi-source spatiotemporal data by Yvtao Hua, Qingxiang Meng, Li Shen, Chen Wang, Ke Hu, Yaohua Yi, Yixuan Wang, Rui Xiao

“…Generalized Additive Model (GAM) and Partial Least Squares Regression (PLSR) model were used to quantitatively assess the impact of environmental factors. …”
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Multi-fault diagnosis and damage assessment of rolling bearings based on IDBO-VMD and CNN-BiLSTM by Lihai Chen, Xiaolong Bai, Yonghui He, Dong Jia, Yican Li, Zhenshui Li

“…The HUST dataset is used to discuss the application of signal processing methods and neural network models in bearing composite fault diagnosis. …”
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Multimodal Medical Image Fusion in NSST Domain in Coupled Neural Systems by Vella Satyanarayana, P. Mohanaiah

“…The proposed method proves superior in merging MRI and PET brain image pairs through experimental testing of 48 pairs when evaluated against seven mainstream fusion methods including CNN-based and neuro-fuzzy models. …”
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Implementation of Adaptive Short Time Fourier Transform and Sigmoid based Kernel Support Vector Machine for Radar Signal Identification by AHMAD Ashraf Adam, MUHAMMAD Farouk Isah

“…ASTFT offers exceptional time-frequency resolution, allowing for detailed signal decomposition, while the Sigmoid Kernel SVM provides robust classification capabilities. …”
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Parametrical Synthesis of Radio Devices with the Set Quantity of Identical Cascades for Inclusion Variants of Jet Two-port Networks between a Nonlinear Part and Loading by A. A. Golovkov, A. V. Fomin

“…Non-linear parts are represented as a non-linear element and parallel or serial current or voltage feedback.Materials and methods. Four-pole theory, matrix algebra, decomposition method, method of synthesis of microwave control devices, numerical optimization methods.Results. …”
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Machine-Learning Assisted Prediction of Spectral Power Distribution for Full-Spectrum White Light-Emitting Diode by Jiajie Fan, Yutong Li, Irena Fryc, Cheng Qian, Xuejun Fan, Guoqi Zhang

“…This paper proposes a dynamic SPD prediction method for the full-spectrum white LED by integrating the SPD decomposition approach with the artificial neural network (ANN) based machine learning method. …”
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Distributed learning process: principles of design and implementation by G. N. Boychenko, L. I. Kundozerova

“…Personal educational objectives should be determined by decomposition of team objectives into functional roles of its members with considering personal and learning needs and interests of students.Theoretical and empirical methods used in the study: theoretical analysis of philosophical, psychological, and pedagogical literature on the issue, analysis of international standards in the e-learning domain; exploration on practical usage of distributed learning in academic and corporate sectors; generalization, abstraction, cognitive modelling, ontology engineering methods.Result of the research is methodology for design and implementation of distributed learning process based on the competency approach. …”
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Joint P- and S-Wave VSP Traveltime Tomography via Well Log-Guided Physics-Informed Neural Networks by Tengyu Wang, Dingding Deng, Duoming Zheng, Zhen Zhang, Wenjun Luo, Yang Liu

“…To overcome these limitations, physics-informed neural networks (PINNs) have been introduced, enabling the PINN-based tomography framework (PINNtomo) to utilize the representational strength of neural networks to solve theeikonal equation, reconstruct velocity models in a data-consistent and physically constrained method, and address these challenges more effectively. …”
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Improving Voice Spoofing Detection Through Extensive Analysis of Multicepstral Feature Reduction by Leonardo Mendes de Souza, Rodrigo Capobianco Guido, Rodrigo Colnago Contreras, Monique Simplicio Viana, Marcelo Adriano dos Santos Bongarti

“…Our framework involves extracting multicepstral features followed by the application of diverse dimensionality reduction methods, such as Principal Component Analysis (PCA), Truncated Singular Value Decomposition (SVD), statistical feature selection (ANOVA F-value, Mutual Information), Recursive Feature Elimination (RFE), regularization-based LASSO selection, Random Forest feature importance, and Permutation Importance techniques. …”
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Deaths burden of laryngeal cancer attributable to occupational exposure in the male working age population: findings from global burden of disease study 2021 by Donghai Wang, Sen Yang, Wenxing Yu, Zixuan Tang, Qin Wang, Mingzhu Fang, Chunyan Li

“…Decomposition analysis and Bayesian age-period-cohort (BAPC) models were applied to assess trends, drivers, and predict future trends to 2040. …”
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The joint and interactive effects of the non-high-density lipoprotein cholesterol to high-density lipoprotein cholesterol ratio (NHHR) and body mass index on the risk of depression... by Lingling Zhang, Yi Lai, Long Yan, Jiaping Fang, Kai Wang

“…Finally, we applied a four-way decomposition analysis method to examine the interactions and mediating effects within the aforementioned relationships. …”
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Machine learning and AVO class II workflow for hydrocarbon prospectivity in the Messinian offshore Nile Delta Egypt by Nadia Abd-Elfattah, Aia Dahroug, Manal El Kammar, Ramy Fahmy

“…Machine learning techniques, specifically neural network models, were trained to differentiate seismic features such as low-amplitude gas sand from background-amplitude water sand and shale. …”
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Environmental impact technology for life cycle assessment in municipal solid waste management by M.A. Budihardjo, I.B. Priyambada, A. Chegenizadeh, S. Al Qadar, A.S. Puspita

“…The analysis highlights include functional units, various life cycle assessment models (such as SimaPro and GaBi), life cycle impact assessment methods, impact categories, and alternative waste management methods. …”
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Smoothing Photovoltaic Power Fluctuations for Cascade Hydro-PV-Pumped Storage Generation System Based on a Fuzzy CEEMDAN by Lei Chen, Jun Wang, Zhang Sun, Tao Huang, Fan Wu

“…Based on the optimal base power of variable-speed pumped storage station (VSPSS), a smoothing method of fuzzy complete ensemble empirical mode decomposition with adaptive noise (CEEMDAN) is proposed in this paper. …”
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Multispectral Land Surface Reflectance Reconstruction Based on Non-Negative Matrix Factorization: Bridging Spectral Resolution Gaps for GRASP TROPOMI BRDF Product in Visible by Weizhen Hou, Xiong Liu, Jun Wang, Cheng Chen, Xiaoguang Xu

“…The widely adopted linear mixing model enables the decomposition of mixed pixels into constituent endmembers, effectively bridging spectral resolution gaps by retrieving the spectral properties of individual land cover types. …”
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A Novel Logarithmic Approach to General Relativistic Hydrodynamics in Dynamical Spacetimes by Mario Imbrogno, Rita Megale, Luca Del Zanna, Sergio Servidio

“…We introduce a novel logarithmic approach within the Baumgarte–Shapiro–Shibata–Nakamura (BSSN) formalism for self-consistently solving the equations of general relativistic hydrodynamics (GRHD) in evolving curved spacetimes. This method employs a “3 + 1” decomposition of spacetime, complemented by the “1 + log” slicing condition and Gamma-driver shift conditions, which have been shown to improve numerical stability in spacetime evolution. …”
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High-fidelity EEG feature-engineered taxonomy for bruxism and PLMS prognostication through pioneering and avant-garde ML frameworks by Shivam Tiwari, Deepak Arora, Barkha Bhardwaj

“…The results show how well machine learning methods and EEG feature extraction might diagnose sleep problems. …”
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