Flexural Performance of Ambient‐Cured Metakaolin‐Stabilized Compressed Earth Brick Walls With Cement‐Soil Mortar Joints by Edmond Didier Medongou Tejiogho, Christopher Kanali, François Ngapgue, Isaac Fundi Sanewu

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Switchable THz Bi-Functional Device for Absorption and Dual-Band Linear-to-Circular Polarization Conversion Based on Vanadium Dioxide–Graphene by Yiqu Wang, Haohan Xie, Rong Liu, Jun Dong

“…The designed multi-functional device features a simple structure and holds significant application potential in terahertz technologies, including cloaking technology, reflectors, and spatial modulators.…”
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Lobster Yield Dynamics in a Warming Ocean: A Generalized Linear Modeling Case Study in Prince Edward Island, Canada by Manzura Khan, Xiuquan Wang, Krishna Kumar Thakur, Ryan Guild, Rana Ali Nawaz, Muhammad Awais

“…Considering the 5–8 year maturation period of lobsters, we applied a lagged SST structure over an 8-year period and used a Generalized Linear Model (GLM) to evaluate the relationship between historical SST and lobster landings. …”
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A Deep Learning‐Based Data Assimilation Approach to Characterizing Coastal Aquifers Amid Non‐Linearity and Non‐Gaussianity Challenges by Chenglong Cao, Jiangjiang Zhang, Wei Gan, Tongchao Nan, Chunhui Lu

“…We systematically investigate a range of factors that impact the performance of ESDL, including the number and types of observations, the degree of aquifer heterogeneity, the structure and training options of the DL models. Our findings reveal that ESDL excels in characterizing heterogeneous aquifers under non‐linear and non‐Gaussian conditions. …”
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Control of an autonomous wind energy conversion system based on doubly fed induction generator supplying a non-linear load by M. L’Hadj Said, M. Ali Moussa, T. Bessaad

“…This paper presents a variable speed constant frequency (VSCF) autonomous control system to supply isolated loads (linear or non-linear). The main objective is the design of an effective strategy to reduce harmonic currents induced via the non-linear loads such as rectifier bridge with 6 diodes. …”
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Path analyses of risk factors for linear growth faltering in four prospective cohorts of young children in Ghana, Malawi and Burkina Faso by Anna Pulakka, Robert Stewart, Elizabeth L Prado, Elizabeth Yakes Jimenez, Stephen Vosti, Christine P Stewart, Jérôme Somé, Jean Bosco Ouédraogo, Harriet Okronipa, Eugenia Ocansey, Brietta Oaks, Kenneth Maleta, Anna Lartey, Emma Kortekangas, Sonja Y Hess, Kenneth Brown, Jaden Bendabenda, Ulla Ashorn, Per Ashorn, Mary Arimond, Seth Adu-Afarwuah, Souheila Abbeddou, Kathryn Dewey

“…We examined the association of 42 indicators of environmental, maternal, caregiving and child factors with 18-month LAZ. Using structural equation modelling, we examined direct and indirect associations through hypothesised mediators in each cohort. …”
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Deep learning and genomic best linear unbiased prediction integration: An approach to identify potential nonlinear genetic relationships between traits by F. Shokor, P. Croiseau, H. Gangloff, R. Saintilan, T. Tribout, T. Mary-Huard, B.C.D. Cuyabano

“…Deep learning (DL) offers a promising alternative for capturing nonlinear genetic relationships due to its ability to identify complex patterns without prior assumptions about the data structure. We proposed a novel hybrid model that that combines both DL and GBLUP (DLGBLUP), which uses the output of the traditional GBLUP, and enhances its predicted genetic values (PGV) by accounting for nonlinear genetic relationships between traits using DL. …”
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Analysis of the linear and nonlinear stability of Alfven eigenmodes and fish-bones in JET DT discharges: mode identification and shear flows generation by J. Varela, J. Garcia, S. Mazzi, Y. Kazakov, Z. Stancar, M. Baruzzo, J. Ongena, D.A. Spong, L. Garcia, Y. Ghai, D. Zarzoso, J. Ortiz, M. Poradzinski, S. Sharapov, M. Fitzgerald, B. Breizman, F. Waelbroeck, S. Menmuir, H.J. Sun, D. Kos, A. Boboc, N.C. Hawkes, JET Contributors, the EUROfusion Tokamak Exploitation team

“…Nonlinear simulations indicate the generation of zonal structures during the AE/fish-bone saturation phase. …”
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PROBLEMS OF ECONOMY MANAGEMENT IN THE LIGHT OF COMPLEXITY THEORY by S. Kretov

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Experimental Validation of a Multi-Functional Metasurface for 5G and Satellite Communication by Hilal Rauf, Babar Kamal, Sadiq Ullah, Usman Ali, Ladislau Matekovits

“…In this article, a single layer, ultrathin, multiband, and multifunctional reflective polarization converting metasurface (PCMS) is presented that can perform linear to linear (LTL) orthogonally with respect to the incident polarization, also called cross polarization conversion (CPC), and linear to circular (LTC) polarization conversion (PC). …”
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A new hybrid approach to the impact of renewable energy consumption on economic growth: sectoral differences in European Union countries by Anca Mehedintu, Georgeta Soava

“…A hybrid approach is used, namely structural equation modelling and artificial neural networks. …”
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Determinants of AI adoption intention in SMEs. Romanian case study by Constantin-Marius Apostoaie, Teodora Roman, Alexandru Maxim, Dumitru-Tudor Jijie

“…The factors were constructed through factor analysis followed by the estimation of a linear regression model. Partial least squares structural equation modelling was then used in order to further explore the relationships and to check the robustness of the linear regression model. …”
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A detailed study on the physical, mechanical, structural and gamma ray shielding properties of Al2O3–Na2O–SiO2–B2O3–Bi2O3glass system by M.I. Sayyed, Ashok Kumar, Taha A. Hanafy, Yasser Maghrbi

“…FTIR spectrainvestigation found BO3, BO4, SiO4, and BiO6 structural units to be present. The glasses' highest mass attenuation coefficient (MAC) is at 0.0395 MeV, the lowest energy value. …”
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A Ship Heading Estimation Method Based on DeepLabV3+ and Contrastive Learning-Optimized Multi-Scale Similarity by Weihao Tao, Yasong Luo, Jijin Tong, Qingtao Xia, Jianjing Qu

“…The framework introduces the Multi-Scale Structural Similarity (MS-SSIM) algorithm enhanced by a triplet contrastive learning mechanism that dynamically optimizes feature weights across scales, thereby improving robustness against image degradation and partial occlusion. …”
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The effect of land-use intensity on the species-area relationship of plants within temperate grasslands by Ralph Bolliger, Lena Neuenkamp, Daniel Prati, Markus Fischer

“…In addition, we used structural equation modelling to assess the direct and indirect effect of land-use intensity on the species-area relationship. …”
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Measuring the medication literacy level of community residents: a cross-sectional study by Lixing Huang, Fenfang Wei, Yangjun Liu, Jialin Xu, Jianru Wu, Qian Wang, Shuling Wang, Wenyu Wu

“…The analysis utilized various statistical methodologies, including T-tests, F-tests, multiple linear stepwise regression, and structural equation modeling to assess the current medication literacy status and the factors influencing it.ResultsThe levels of medication literacy among community residents typically exhibit a normal distribution. …”
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Factors Influencing User Information Adoption in Virtual Communities of Interest: A Study Based on SEM and fsQCA by Long HAN, Jincheng GUO, Yiting LU, Qun ZHOU

“…This study aims to deepen the theoretical understanding of information adoption in virtual communities of interest by incorporating information ecology theory and applying both structural equation modeling (SEM) and fuzzy-set qualitative comparative analysis (fsQCA). …”
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A New Extensible Feature Matching Model for Corrosion Defects Based on Consecutive In-Line Inspections and Data Clustering by Mohamad Shatnawi, Péter Földesi

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Defending Against the Homodyne Detector-Blinding Attack on Continuous-Variable Quantum Key Distribution Using an Adjustable Optical Attenuator by Yijun Wang, Yanyan Li, Wenqi Jiang, Ying Guo

“…In the real world, a homodyne detector has a finite linear domain, so the linearity assumption is broken when the input is too large. …”
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Mathematical modeling and estimation of physicochemical characteristics of pneumonia treatment drugs through a novel approach K-Banhatti topological descriptors by Abdul Rauf Khan, Ifra Naeem, Fairouz Tchier, Fikadu Tesgera Tolasa, Shahid Hussain

“…Topological descriptors enable the exploration of the complexity, connectivity, and other essential attributes of molecules. The quantitative structure-property relationship (QSPR) analysis of pharmaceuticals for illness treatment employing K-Banhatti topological descriptors is an economical approach utilised by pharmaceutical researchers. …”
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