The RACOON viral pneumonia score for structured reporting of pre-existing, acute, and post-pneumonic findings on chest CT by Thorsten Persigehl, Philipp Fervers, Andreas Bucher, Peter Isfort, Peter Isfort, David Maintz, Tobias Penzkofer, Marwin Sähn, Thomas Vogl, Jonathan Kottlors, Felix Doellinger

“…The longitudinal distribution of subscores allowed for differentiation between acute pneumonia and post-pneumonic sequelae.ConclusionThis study presents the RVPS as a comprehensive tool for inter-reader reliable evaluation, longitudinal monitoring, and structured documentation of the extent as well as quality of chest CT findings in infectious lung disease.…”
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Frequency-Domain Multi-Dynamic Analysis Using Response-Based Approach for FOWT by Young Hoon Shin, Seung Jae Lee, Min Jun Lee

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Predicting the Flexural Modulus of Variable Pitch Angle, Porous Bouligand Structured 3D Printed Polymer by Praveenkumar S. Patil, Edward D. McCarthy, Parvez Alam

“…Our model is expressed as <inline-formula><math xmlns="http://www.w3.org/1998/Math/MathML" display="inline"><semantics><mrow><msub><mi>E</mi><mi>f</mi></msub><mo>=</mo><msub><mi>E</mi><mrow><mi>p</mi><mi>o</mi><mi>r</mi><mi>o</mi></mrow></msub><mrow><mo>(</mo><mi>a</mi><msubsup><mi>θ</mi><mi>f</mi><mn>3</mn></msubsup><mo>+</mo><mi>b</mi><msubsup><mi>θ</mi><mi>f</mi><mn>2</mn></msubsup><mo>+</mo><mi>c</mi><msub><mi>θ</mi><mi>f</mi></msub><mo>+</mo><mi>d</mi><mo>)</mo></mrow></mrow></semantics></math></inline-formula>, and we derive this by applying non-linear regression to our experimental data. This model predicts the flexural modulus, <inline-formula><math xmlns="http://www.w3.org/1998/Math/MathML" display="inline"><semantics><msub><mi>E</mi><mi>f</mi></msub></semantics></math></inline-formula>, of porous Bouligand structured polymer as a function of both porosity and pitch angle. …”
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Development levels for time planning model ofroad constru ction at design stages by T. V. Bobrova, E. A. Pokalyukhina

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Optimal sensor placement of bridge structure based on sensitivity‐effective independence method by Wenhao Chai, Yaxun Yang, Haibo Yu, Fuli Yang, Zhikui Yang

“…Using the sensitivity coefficient reflecting structural damage, the proposed method could modify the effective independence method reflecting the maximum linear independence. …”
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ANALYSIS OF STRESS AND ELASTIC MODULUS IN TRUSS STRUCTURES DESIGNED USING PYTHON-BASED SCRIPT by Eko Pujiyulianto, Muhamad Fatikul Arif, Abdul Muhyi, Fajar Paundra, Ariq Athallah, Daniel Christover Munte

“…As the shell thickness increases, the volume fraction of the lattice structure also increases. volume fraction in lattice structures does not affect stress in a linear manner. …”
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Artificial intelligence - finite element method - hybrids for efficient nonlinear analysis of concrete structures by Michael A. Kraus, Rafael Bischof, Walter Kaufmann, Karel Thoma

“…Realistic structural analyses and optimisations using the non-linear finite element method are possible today yet suffer from being very time-consuming, particularly in case of reinforced concrete plates and shells. …”
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Analysis of Various Damping Models in The Simulation of the Seismic Response of Structures in the STARK ES Software by V. N. Simbirkin, Yu. V. Panasenko, V. V. Kurnavin

“…In this paper, a comparative analysis of three types of the damping models used to increase the calculated seismic resistance of structures is carried out. These are the models of nonlinear viscous dampers, in which the reactive force depends non-linearly on the velocity of the rod movement, equivalent (for an energy dissipated) linear-viscous dampers and equivalent (for a maximum force and an energy dissipated) elastic – perfectly plastic elements. …”
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Research on Energy-absorbing Structures for Two Endsof High-speed Train Car Body by ZHANG Zhi-xin, TIAN Ai-qing, CHE Quan-wei, XIAO Shou-ne

“…Based on high-speed and large-kinetic-energy characteristics of high-speed trains, a special passive protective end energyabsorbing structure was designed and simulated through non-linear finite element software LS-DYNA. …”
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Recursive Method in Modal Parameter Identification of Aerospace Structures under Non-Gaussian Noise by Lei Yu, Yong-li Zhang, Meng-di Yuan, Rui-qing Liu, Qi Zhang

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Stress and strength analysis of aluminum alloy structures under the effect of thermal and mechanical force by HE Zhiquan, QIU Huihui, SUN Yuheng, GUO Yujie, WEI Xiaohui

“…The slat of aircraft is subjected to the combined action of thermal load and aerodynamic force during its service, which has an impact on the safety of the structure. The typical aluminum alloy structure widely used in slat structure is taken as the main research object, and the stress distribution and structural strength under the combined action of heat and force were studied by experiment and finite element method. …”
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Localizing Age-Related Changes in Brain Structure Using Voxel-Based Morphometry by Shu Hua Mu, Min Xu, Jun Xiu Duan, Jian Zhang, Li Hai Tan

“…We report the dynamic anatomical sequence of human cortical gray matter development from late childhood to young adults using VBM and ROI-based methods. Method. The structural MRI of 91 normal individuals ranging in age from 6 to 26 years was obtained and the GMV for each region was measured. …”
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Integrated modeling of RF-induced tungsten erosion at ICRH antenna structures in the WEST tokamak by A. Kumar, W. Tierens, T. Younkin, C. Johnson, C. Klepper, A. Diaw, J. Lore, A. Grosjean, G. Urbanczyk, J. Hillairet, P. Tamain, L. Colas, C. Guillemaut, D. Curreli, S. Shiraiwa, N. Bertelli, the WEST Team

“…This paper introduces STRIPE (Simulated Transport of RF Impurity Production and Emission), an advanced modeling framework developed to analyze material erosion and the global transport of eroded impurities originating from radio-frequency (RF) antenna structures in magnetic confinement fusion devices. STRIPE integrates multiple physics modules: SolEdge3x for scrape-off-layer plasma profiles, COMSOL for 3D RF rectified sheath potentials, RustBCA for erosion yields and surface interactions, and global impurity transport for 3D ion energy-angle distributions and impurity transport. …”
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Review of Response and Damage of Linear and Nonlinear Systems under Multiaxial Vibration by Ed Habtour, William (Skip) Connon, Michael F. Pohland, Samuel C. Stanton, Mark Paulus, Abhijit Dasgupta

“…A review of past and recent developments in multiaxial excitation of linear and nonlinear structures is presented. The objective is to review some of the basic approaches used in the analytical and experimental methods for kinematic and dynamic analysis of flexible mechanical systems, and to identify future directions in this research area. …”
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An Advanced Auxiliary Delay-Weight Particle Filter with Linear Computation Cost by Chen Li, Lin Sun, Zengwei Zheng, Dan Chen

“…Based on the newly tree-like structures formed by auxiliary particles and sampled particles, we design a well efficient delayed-weight algorithm with linear computation cost. …”
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Acoustic structure and information content of trumpets in female Asian elephants (Elephas maximus). by Evelyn Fuchs, Veronika C Beeck, Anton Baotic, Angela S Stoeger

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Bioinspired Kirigami Structure for Efficient Anchoring of Soft Robots via Optimization Analysis by Muhammad Niaz Khan, Ye Huo, Zhufeng Shao, Ming Yao, Umair Javaid

“…This study presents a bioinspired kirigami structure designed to enhance the anchoring performance of soft robotic systems through systematic geometric and actuation parameter optimization. …”
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Modeling the relationship between the structure and melting point of pyrazolone derivatives: topological approach by M. I. Skvortsova, N. S. Rukk

“…In the framework of the statistical approach the non-linear «structure - melting point» model for pyrazolone derivatives is constructed. …”
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Structural and Visual Changes in Branch Retinal Vein Occlusion Patients with Retinal Atrophy by Zhenping Li, Xiaoya Gu, Shuang Song, Xiaobing Yu, Peng Zhang, Hong Dai

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On the Variability of Neural Network Classification Measures in the Protein Secondary Structure Prediction Problem by Eric Sakk, Ayanna Alexander

“…We revisit the protein secondary structure prediction problem using linear and backpropagation neural network architectures commonly applied in the literature. …”
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