The Kinematic Signature of the Warp and Waves in the Milky Way Disk by Weixiang Sun, Han Shen, Biwei Jiang, Xiaowei Liu

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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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Integrating AlphaFold2 models and clinical data to improve the assessment of Short Linear Motifs (SLiMs) and their variants' pathogenicity. by Franco Gino Brunello, Lorenzo Erra, Juan Nicola, Marcelo Adrián Martí

“…Short Linear Motifs (SLiMs) are protein functionally relevant regions that mediate reversible protein-protein interactions. …”
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PROBLEMS OF ECONOMY MANAGEMENT IN THE LIGHT OF COMPLEXITY THEORY by S. Kretov

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Metal Thickness Measurement Using an Ultrasonic Probe with a Linear Actuator for a Magnet-Type Climbing Robot: Design and Development by Yuki Nishimura, Cheng Wang, Wei Song

“…While existing magnet-type climbing robots have demonstrated significant improvements in climbing steel structures, their capability in terms of metal thickness measurement has not been previously evaluated. …”
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A Multiband Dual Linear-to-Circular Polarization Conversion Reflective Metasurface Design Based on Liquid Crystal for X-Band Applications by Xinju Wang, Lihan Tong, Peng Chen, Lu Liu, Yutong Yin, Haowei Zhang

“…The polarization conversion (PC) structure employs an orthogonal anisotropic design, utilizing logarithmic functions to create two pairs of bowtie microstrip patches for linear-to-circular polarization conversion (LCPC). …”
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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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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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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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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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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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Three Sources of Inefficiency in Russian Science and Three Pillars for Innovation by A. A. Nikonova

“…The study presents empirical data to demonstrate the significant impact of three main sources of R&D inefficiency: 1. The diverse structure of the Russian economy, which divides the science sector according to various characteristics, leads to low internal demand for domestic research and innovation. 2. …”
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Performance-Based Design Assessment of a Chilean Prescriptive R.C. Shear Wall Building Using Nonlinear Static Analysis by Mario Gutiérrez, Juan C. Vielma-Quintero, Jorge Carvallo, Juan C. Vielma

“…Performance-based seismic design (PBD) has emerged as a key approach for rationalizing prescriptive code provisions and improving the explicit assessment of structural performance. In Chile, where reinforced concrete shear wall buildings are the predominant structural typology, evaluating their seismic response beyond traditional linear methodologies is crucial. …”
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QSAR Model for Prediction of some Non-Nucleoside Inhibitors of Dengue Virus Serotype 4 NS5 using GFA-MLR Approach by Samuel Adawara, Gideon Shallangwa, Paul Mamza, Abdulkadir Ibrahim

“…Genetic function algorithm and multiple linear regressions were used to build a robust quantitative structure-activity relationship model. …”
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Non-uniform Rectilinear Grid in the Waveguide Modeling of the Vocal Tract by Tahir Mushtaq QURESHI, Khalid Saifullah SYED, Asim ZAFAR

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Acoustic monitoring of soil water content during tillage and sowing by Hans-Hermann Kaufmann, Hubertus Siebald, Carolina Bilibio, Abozar Nasirahmadi, Oliver Hensel

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Revisiting Volterra defects: geometrical relation between edge dislocations and wedge disclinations by Shunsuke Kobayashi, Katsumi Takemasa, Ryuichi Tarumi

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A 3D DC Electric Field Meter Based on Sensor Chips Packaged Using a Highly Sensitive Scheme by Pengfei Yang, Xiaolong Wen, Xiaonan Li, Zhaozhi Chu, Chunrong Peng, Shuang Wu

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Determining Non-Dimensional Group of Parameters Governing the Prediction of Penetration Depth and Holding Capacity of Drag Embedment Anchors Using Linear Regression by Mojtaba Olyasani, Hamed Azimi, Hodjat Shiri

“…Drag embedment anchors (DEAs) provide reliable and cost-effective mooring solutions for floating structures, e.g., platforms, ships, offshore wind turbines, etc., in offshore engineering. …”
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