A COMPOSITION PATCH ANTENNA by S. A. Pogarsky, D. V. Mayboroda, S. M. Mykhaliuk

“…The angular parameter of the triangular slit was a variable value. Numerical simulations were carried out within a semi-open resonator model, with proper account of all the boundary conditions as specified in the finite-element method. …”
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An Assessment of Local Geometric Uncertainties in Polysilicon MEMS: A Genetic Algorithm and POD-Kriging Surrogate Modeling Approach by Ananya Roy, Francesco Rizzini, Gabriele Gattere, Carlo Valzasina, Aldo Ghisi, Stefano Mariani

“…In this paper, an approach that combines genetic algorithms and proper orthogonal decomposition with kriging surrogate modeling was proposed to accurately predict over-etch measures through an on-chip test device. …”
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Study on optimization of Al6061 sphere surface roughness in diamond turning based on central composite design model and grey wolf optimizer algorithms by Le Thanh Binh, Duong Xuan Bien, Ngo Viet Hung, Chu Anh My, Hoang Nghia Duc, Nguyen Kim Hung, Bui Kim Hoa

“…With the experimental data, the roughness regression model is established. The ANOVA module is used to evaluate the quality of the regression model. …”
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Prebiotic-like Effects of Proanthocyanidin-Rich Aronia Extract Supplementation on Gut Microbiota Composition and Function in the Twin-M-SHIME^® Model by Blanca Elizabeth Ruiz-Álvarez, Valentina Cattero, Yves Desjardins

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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

“…Among the selected predictors, Global Solar Radiation (GSR) consistently proves to be the most influential. To further enhance model inputs, Variational Mode Decomposition (VMD) is applied to extract informative Intrinsic Mode Functions (IMFs) from the selected features. …”
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Combining a Multi‐Lake Model Ensemble and a Multi‐Domain CORDEX Climate Data Ensemble for Assessing Climate Change Impacts on Lake Sevan by Muhammed Shikhani, Johannes Feldbauer, Robert Ladwig, Daniel Mercado‐Bettín, Tadhg N. Moore, Artur Gevorgyan, Amalya Misakyan, Chenxi Mi, Martin Schultze, Bertram Boehrer, Tom Shatwell, Klemens Barfus, Karsten Rinke

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A synthesis of <i>Sphagnum</i> litterbag experiments: initial leaching losses bias decomposition rate estimates by H. Teickner, H. Teickner, E. Pebesma, K.-H. Knorr

“…</p> <p>We present a meta-analysis of 15 <i>Sphagnum</i> litterbag studies to estimate initial leaching losses (<span class="inline-formula"><i>l</i>₀</span>), to analyze how much <i>Sphagnum</i> <span class="inline-formula"><i>k</i>₀</span> estimates are biased when the decomposition model ignores initial leaching losses and to analyze how much the variance in <span class="inline-formula"><i>k</i>₀</span> estimates increases due to initial leaching losses even when they are estimated by the decomposition model.…”
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Novel model for medium to long term photovoltaic power prediction using interactive feature trend transformer by Xiang Liu, Qingyu Liu, Shuai Feng, Yangyang Ge, Haoran Chen, Chunling Chen

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Investigation Study of Structure Real Load Spectra Acquisition and Fatigue Life Prediction Based on the Optimized Efficient Hinging Hyperplane Neural Network Model by Lin Zhu, Benao Xing, Xingbao Li, Min Chen, Minping Jia

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Borrowing in modern Russian language: related linguistic processes by Natalia V. Gabdreeva, Anastasia V. Ageeva

“…General and specific characteristics in the formation of phonemic-graphemic appearance of foreign units are presented, including the most common types of variability and their factors. Structural modifications of lexical units in the process of borrowing are analyzed, and this allows us to draw a conclusion about the intensification of hybridization and composition according to the model of analytical languages. …”
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Development of a deep learning based approach for multi-material decomposition in spectral CT: a proof of principle in silico study by Jayasai R. Rajagopal, Saikiran Rapaka, Faraz Farhadi, Ehsan Abadi, W. Paul Segars, Tristan Nowak, Puneet Sharma, William F. Pritchard, Ashkan Malayeri, Elizabeth C. Jones, Ehsan Samei, Pooyan Sahbaee

“…Abstract Conventional approaches to material decomposition in spectral CT face challenges related to precise algorithm calibration across imaged conditions and low signal quality caused by variable object size and reduced dose. …”
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Study of mechanical and physical properties of pineapple leaf fiber and coffee husk filler reinforced polymer composite using response surface method by Kinisa Wareso Abesho, Moera Gutu Jiru, Hirpa G. Lemu, Mohammed Abdulkedir Alfeki

“…The quadratic model is found to be the best fit for the tensile strength, flexural strength, impact strength, and water absorption models, while the two-factor interaction model is determined to be the best fit for the compression strength. …”
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Le modèle de la reproduction sociale à l’épreuve des migrations by Marie Verhoeven

“…This article questions the relevance of Bourdieu’s Reproduction model for understanding the specific nature of educational inequalities experienced by children from immigrant backgrounds. …”
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Comparing Two Geostatistical Simulation Algorithms for Modelling the Spatial Uncertainty of Texture in Forest Soils by Gabriele Buttafuoco

“…Uncertainty assessment is an essential part of modeling and mapping the spatial variability of key soil properties, such as texture. …”
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Application of Partial Least Squares-Discriminate Analysis Model Based on Water Chemical Compositions in Identifying Water Inrush Sources from Multiple Aquifers in Mines by Yaoshan Bi, Jiwen Wu, Xiaorong Zhai, Shuhao Shen, Libin Tang, Kai Huang, Dawei Zhang

“…External validation found that the model had good stability and discrimination. (3) HCO3- and total dissolved solids (TDS) were the most important differential marker compositions that affected the discrimination results based on Variable Importance for the Projection (VIP) scores. …”
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Experimental Investigation on Static Performance of Novel Precast Concrete Composite Slab–Composite Shear Wall Connections by Xiaozhen Shang, Ming Zheng, Yutao Guo, Liangdong Zhuang, Huqing Liang

“…The connection zones between precast concrete composite slabs and composite walls commonly experience severe reinforcement conflicts due to protruding rebars, significantly reducing construction efficiency. …”
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Designing empirical fourier decomposition reinforced with multiscale increment entropy and deep learning to forecast dry bulb air temperature by Mohammed Diykh, Mumtaz Ali, Abdulhaleem H. Labban, Ramendra Prasad, Mehdi Jamei, Shahab Abdulla, Aitazaz Ahsan Farooque

“…This paper aims to design an intelligent model namely MEFD-MSIE-FCNN to forecast DBTair which integrates multivariate empirical Fourier decomposition (MEFD), multiscale increment entropy (MSIE), and FCSM model that integrates a fully connected neural network FCNN with long short-term memory (LSTM) to forecast DBTair. …”
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Estimation de la composition des dépenses publiques agricoles sur la croissance de la valeur ajoutée agricole réelle du Mali by Boukary KASSOGUE

“…To achieve this, the “Autoregressive Distributed Lag/ARDL” model (4 4 4 1 1 2) made it possible to estimate the short- and long-term relationships of macroeconomic variables with temporal dynamic random delay (adjustment lag, expectations [ …]). …”
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Climate variability and its impact on sanitation facility choice in Ethiopia by Bahre Gebru, Katarina Elofsson, Franklin Amuakwa-Mensah, George Marbuah

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Optimization of variables for cadmium and copper removal using magnetic nanocomposite by Chou-Yi Hsu, Mohammed Ahmed Mustafa, Ghadir Kamil Ghadir, Pooja Bansal, Harpreet Kaur, Amjed Qasim Mohammed, Alzahraa S. Abdulwahid, Ahmed Remthan Hussein, Sahira Qasim Namaha, Ahmed Ali Ami, Usama Kadem Radi, Laith H. Alzubaidi, Ali Kazemi

“…Abstract This study aims to investigate cadmium and copper ultrasound-assisted removal efficiency on a laboratory scale using a cobalt ferrite/activated carbon (COF/AC) composite as an adsorbent. For this purpose, the effect of four independent variables (i.e., composite amount, pH, heavy metal concentrations, and ultrasound radiation time) on the performance of the cadmium and copper removal was investigated. …”
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