Statistical Structural Damage Detection of Functionally Graded Euler–Bernoulli Beams Based on Element Modal Strain Energy Sensitivity by Delei Yang, Chunyan Kang, Sihan Cheng, Zhongming Hu, Adesola Ademiloye

“…This evaluation is based on integrating the sensitivity of modal strain energy for each element with the perturbation method. …”
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Characterization of Power System Oscillation Modes Using Synchrophasor Data and a Modified Variational Decomposition Mode Algorithm by José Oscullo Lala, Nathaly Orozco Garzón, Henry Carvajal Mora, Diego Echeverria, José Vega-Sánchez, Takaaki Ohishi

“…This paper presents an enhanced methodology for modal analysis that combines Adaptive Variational Mode Decomposition (A-VMD) with Prony’s method. …”
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Investigation of stress intensity factor for internal cracks in FG cylinders under static and dynamic loading by Mahmoud Shariati, Masoud Mahdizadeh Rokhi, Hassan Rayegan

“…The equations of motion obtained from the extended finite element discretization are solved by the Newmark method in the time domain. The interaction integral method is employed to calculate the mode I stress intensity factor (KI). …”
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Exploring implementation of interventions to facilitate integration in fragmented healthcare systems by Cassandra Bragdon, Rachel Siden, Marcy Winget, Sonia Rose Harris, Rebecca Carey, Justin Ko, Alpa Vyas, Cati Brown‐Johnson

“…Methods We conducted qualitative semi‐structured interviews via Zoom with faculty and community physicians. …”
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A robust deep learning approach for photovoltaic power forecasting based on feature selection and variational mode decomposition by Mokhtar Ali, Abdelkerim Souahlia, Abdelhalim Rabehi, Mawloud Guermoui, Ali Teta, Imad Eddine Tibermacine, Abdelaziz Rabehi, Mohamed Benghanem

“…Three feature selection methods---ReliefF, Minimum Correlation, and Minimum Redundancy Maximum Relevance (MRMR)---are employed to identify the most relevant input variables from a dataset collected in the Ghardaia region. …”
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Regional Variation in Pregnancy Outcomes amongst Women in Inflammatory Bowel Disease: A Population-Based Cohort Study by Parul Tandon, Christina Diong, Rachel Y. Chong, Geoffrey C. Nguyen

“…Geographical variation in preterm delivery, infants SGA, and Cesarean delivery was assessed using age-adjusted odds ratios (aOR) with 95% confidence intervals (CI) comparing women with and without IBD, stratified by Ontario’s 14 health-service regions, known as Local Health Integration Networks (LHINs). …”
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Decentralised Consensus Control of Hybrid Synchronous Condenser and Grid-Forming Inverter Systems in Renewable-Dominated Low-Inertia Grids by Hamid Soleimani, Asma Aziz, S M Muslem Uddin, Mehrdad Ghahramani, Daryoush Habibi

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Exploration of the health needs of patients with poorly controlled type 2 diabetes using a user-centred co-production approach in the area of mHealth: an exploratory sequential mix... by Li Cheng, Qinqin Xie, Xiling Hu, Yarui Wang, Junsheng Peng

“…With the principles of co-production, this study aims to address this research gap by exploring the health needs of Chinese patients with poorly controlled T2DM.Methods and analysis This study uses a three-phase, exploratory sequential mixed-method design. …”
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Application of perforated PEEK framework for improving strength of a bases of removable complete denture for maxilla by Kamalutdin Akhmedov, Dmitry Arutyunov, Mikhail Lomakin, Svetlana Bochkareva, Iliya Panov, Sergey Panin, Magomet Mustafaev, Sofiat Mustafaeva

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Soft X-ray tomography reveals variations in B. subtilis biofilm structure upon tasA deletion by Anthoula Chatzimpinou, Anne Diehl, A. Tobias Harhoff, Kristina Driller, Bieke Vanslembrouck, Jian-Hua Chen, Kristaps Kairišs, Valentina Loconte, Mark A. Le Gros, Carolyn Larabell, Kürşad Turgay, Hartmut Oschkinat, Venera Weinhardt

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Synergy and Effectiveness Evaluation of Carbon Policy and Government Subsidies: Variational Inequality Model Based on Supply Chain Network by Chao Wang, Hui Sun, Yuehu Wang

“…Numerical simulations were conducted with a modified projection algorithm, and the Borda method was applied to evaluate equilibrium outcomes, specifically production levels and emission reductions, under each policy combination, revealing synergies between policies. …”
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Color Variation in 3D-Printed Orthodontic Aligners as a Compliance Indicator: A Prospective Pilot Study by Francesca Cremonini, Giuseppe Chiusolo, Filippo Pepe, Luca Lombardo

“…This study investigated the potential of colorimetric analysis as a method to assess compliance with NOXI 3D-printed night-time aligners. …”
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Optimization Driven Variational Autoencoder GAN for Artifact Reduction in EEG Signals for Improved Neurological Disorder and Disability Assessment by Sikkandar Mohamed Yacin, Sabarunisha Begum S., Alassaf Ahmad, AlMohimeed Ibrahim, Alhussaini Khalid, Aleid Adham, Alhaidar Abdulrahman Khalid

“…This study introduces an innovative method for minimizing artifacts in electroencephalography (EEG) signals by integrating brainstorm optimization (BSO) with a variational autoencoder generative adversarial network (VAE-GAN), resulting in the BrOpt_VAGAN model. …”
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Combining long-read DNA and RNA sequencing to enhance molecular understanding of structural variations leading to copy gains by Jade Fauqueux, Jean-Pascal Meneboo, Roseline Caumes, Luc Thomès, Emilie Ait Yahya, Caroline Thuillier, Elise Boudry, Celine Villenet, Martin Figeac, Jamal Ghoumid, Thomas Smol

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Geoelectrical resistivity and geochemistry monitoring of landfill leachates due to the seasonal variations and the implications on groundwater systems and public health by Joseph Omeiza Alao, Oche Joseph Otorkpa, Fahad Abubakar, Daniel Eshimiakhe, Abubakar Aliyu, Momohjimoh Abdulsalami, Danga Onimisi Abdulmalik

“…Finally, the combined techniques deployed for monitoring the physiochemical properties of LLPs due to seasonal variation and the impacts on the integrity of groundwater quality systems and public health inform sustainable waste management practices, which contributes significantly to the protection of groundwater resources and the development of effective strategies to safeguard groundwater systems and public health for present and future generations.…”
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Reinforced Soft Soil by CSV with/without Polypropylene fibres: Experimental and Numerical analysis. by Anouar Souadeuk, Zeineddine Boudaoud

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An enhanced deep learning‐based phishing detection mechanism to effectively identify malicious URLs using variational autoencoders by Manoj Kumar Prabakaran, Parvathy Meenakshi Sundaram, Abinaya Devi Chandrasekar

“…In order to effectively identify malicious URLs, an enhanced deep learning‐based phishing detection approach has been proposed by integrating the strength of Variational Autoencoders (VAE) and deep neural networks (DNN). …”
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Efficient Prediction of Shallow-Water Acoustic Transmission Loss Using a Hybrid Variational Autoencoder–Flow Framework by Bolin Su, Haozhong Wang, Xingyu Zhu, Penghua Song, Xiaolei Li

“…To establish a rapid prediction model mapping sound speed profiles (SSPs) to acoustic TL through controllable generation, this study proposes a hybrid framework that integrates a variational autoencoder (VAE) and a normalizing flow (Flow) through a two-stage training strategy. …”
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Unveiling the Spatial Variation in Ecosystem Services Interactions and Their Drivers Within the National Key Ecological Function Zones, China by Tingjing Zhang, Quanqin Shao, Haibo Huang

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Study of seasonal variation in groundwater geochemistry for beneficial use of drinking and irrigation in Aundha Nagnath tehsil of Maharashtra, India by Vaishnavi Raut, Vasant Wagh, Kartik Tadse, Shankar Karuppannan

“…Abstract The study aims to understand the seasonal variation in groundwater geochemistry for drinking and irrigation uses in Aundha Nagnath tehsil of Maharashtra, India. …”
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