Research on calculation of transverse bending moment of deck of box girder with long-span and long cantilever by Zhaonan Wang, Ruizheng Wang

“…The results showed that the transverse bending moment of the long-cantilever plate calculated using Baider Bahkt formula slightly deviated from the calculated value of the plate-shell element, and the deviation between the calculated values of Baider Bahkt formula and Sawko formula was 7.72%. …”
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Fractal Continuum Maxwell Creep Model by Andriy Kryvko, Claudia del C. Gutiérrez-Torres, José Alfredo Jiménez-Bernal, Orlando Susarrey-Huerta, Eduardo Reyes de Luna, Didier Samayoa

“…Then, creep strain <inline-formula><math xmlns="http://www.w3.org/1998/Math/MathML" display="inline"><semantics><mrow><mi>ε</mi><mo>(</mo><mi>t</mi><mo>)</mo></mrow></semantics></math></inline-formula>, creep modulus <inline-formula><math xmlns="http://www.w3.org/1998/Math/MathML" display="inline"><semantics><mrow><mi>J</mi><mo>(</mo><mi>t</mi><mo>)</mo></mrow></semantics></math></inline-formula>, and relaxation compliance <inline-formula><math xmlns="http://www.w3.org/1998/Math/MathML" display="inline"><semantics><mrow><mi>G</mi><mo>(</mo><mi>t</mi><mo>)</mo></mrow></semantics></math></inline-formula> in materials with fractal linear viscoelasticity can be described by their generalized forms, <inline-formula><math xmlns="http://www.w3.org/1998/Math/MathML" display="inline"><semantics><mrow><msup><mi>ε</mi><mi>β</mi></msup><mrow><mo>(</mo><mi>t</mi><mo>)</mo></mrow><mo>,</mo><mspace width="0.166667em"></mspace><msup><mi>J</mi><mi>β</mi></msup><mrow><mo>(</mo><mi>t</mi><mo>)</mo></mrow><mrow><mi> </mi><mi>and</mi><mi> </mi></mrow><msup><mi>G</mi><mi>β</mi></msup><mrow><mo>(</mo><mi>t</mi><mo>)</mo></mrow></mrow></semantics></math></inline-formula>, where <inline-formula><math xmlns="http://www.w3.org/1998/Math/MathML" display="inline"><semantics><mrow><mi>β</mi><mo>=</mo><mi>d</mi><mi>i</mi><mi>m</mi><mi>S</mi><mo>/</mo><mi>d</mi><mi>i</mi><mi>m</mi><mi>H</mi></mrow></semantics></math></inline-formula> represents the time fractal dimension, and it implies the variable-order of fractality of the self-similar domain under study, which are <inline-formula><math xmlns="http://www.w3.org/1998/Math/MathML" display="inline"><semantics><mrow><mi>d</mi><mi>i</mi><mi>m</mi><mi>S</mi></mrow></semantics></math></inline-formula> and <inline-formula><math xmlns="http://www.w3.org/1998/Math/MathML" display="inline"><semantics><mrow><mi>d</mi><mi>i</mi><mi>m</mi><mi>H</mi></mrow></semantics></math></inline-formula> for their spectral and Hausdorff dimensions, respectively. …”
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Exploring Seasonality Indices for Low-Flow Analysis on Tibagi Watershed (Brazil) by Alexandre Sokoloski de Azevedo Delduque de Macedo, Michael Männich

“…This study investigated the seasonality of low-flow discharges in the Tibagi watershed, Paraná, Brazil, through the analysis of three indices: Seasonality Ratio (<inline-formula><math xmlns="http://www.w3.org/1998/Math/MathML" display="inline"><semantics><mrow><mi>S</mi><mi>R</mi></mrow></semantics></math></inline-formula>), Seasonality Index (<inline-formula><math xmlns="http://www.w3.org/1998/Math/MathML" display="inline"><semantics><mrow><mi>S</mi><mi>I</mi></mrow></semantics></math></inline-formula>), and Seasonality Histogram (<inline-formula><math xmlns="http://www.w3.org/1998/Math/MathML" display="inline"><semantics><mrow><mi>S</mi><mi>H</mi></mrow></semantics></math></inline-formula>). …”
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A Navier–Stokes-Informed Neural Network for Simulating the Flow Behavior of Flowable Cement Paste in 3D Concrete Printing by Tianjie Zhang, Donglei Wang, Yang Lu

“…NS equations are embedded into the NSINN to interpret the flow pattern in the 3D printing barrel. The results show that the presented NSINN has a higher accuracy compared to a traditional artificial neural network (ANN) as the Mean Square Errors (MSEs) of the u, v, and p predicted by NSINN are <inline-formula><math xmlns="http://www.w3.org/1998/Math/MathML" display="inline"><semantics><mrow><mn>1.25</mn><mo>×</mo><msup><mrow><mn>10</mn></mrow><mrow><mo>−</mo><mn>4</mn></mrow></msup></mrow></semantics></math></inline-formula>, <inline-formula><math xmlns="http://www.w3.org/1998/Math/MathML" display="inline"><semantics><mrow><mn>1.85</mn><mo>×</mo><msup><mrow><mn>10</mn></mrow><mrow><mo>−</mo><mn>5</mn></mrow></msup></mrow></semantics></math></inline-formula>, and <inline-formula><math xmlns="http://www.w3.org/1998/Math/MathML" display="inline"><semantics><mrow><mn>3.91</mn><mo>×</mo><msup><mrow><mn>10</mn></mrow><mrow><mo>−</mo><mn>3</mn></mrow></msup></mrow></semantics></math></inline-formula>, respectively. …”
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A mm-Wave 5G Double Slot Array Antenna Based on Gap Waveguide Technology and Glide Symmetries by Panagiotis Petroutsos, Stavros Koulouridis

“…The measurement results show an 11.4% achieved impedance bandwidth (S<inline-formula> <tex-math notation="LaTeX">$_{11} \lt $ </tex-math></inline-formula> -10 dB), covering the 37.20 GHz - 41.58 GHz frequency range. …”
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Experimental Study of Steady Blowing from the Trailing Edge of an Open Cavity Flow by Naser Al Haddabi, Konstantinos Kontis, Hossein Zare-Behtash

“…As a result, the return flow rate increased, causing the separation point on the cavity floor to shift upstream from <inline-formula><math xmlns="http://www.w3.org/1998/Math/MathML" display="inline"><semantics><mrow><mi>x</mi><mo>/</mo><mi>L</mi><mo>≈</mo><mn>0.2</mn></mrow></semantics></math></inline-formula> for the no-jet case to <inline-formula><math xmlns="http://www.w3.org/1998/Math/MathML" display="inline"><semantics><mrow><mi>x</mi><mo>/</mo><mi>L</mi><mo>≈</mo><mn>0.1</mn></mrow></semantics></math></inline-formula> for the <i>J</i> = 0.96 kg/m·s² case. …”
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Insights into ozone pollution control in urban areas by decoupling meteorological factors based on machine learning by Y. Qiu, X. Li, X. Li, W. Chai, Y. Liu, M. Song, X. Tian, Q. Zou, W. Lou, W. Zhang, J. Li, Y. Zhang

“…On the contrary, the contribution of combustion to VOCs decreased from 33.7 % to 25.1 %. Our results provided new recommendations and insights for implementing O<span class="inline-formula">₃</span> pollution control measures and evaluating the effectiveness of emission reduction in urban areas.…”
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Towards a high-quality in situ observation network for oxygenated volatile organic compounds (OVOCs) in Europe: transferring metrological traceability to the field by M. Iturrate-Garcia, T. Salameh, P. Schlauri, A. Baldan, M. K. Vollmer, E. Stratigou, S. Dusanter, J. Li, S. Persijn, A. Claude, R. Holzinger, C. Sutour, T. Macé, Y. Elshorbany, A. Ackermann, C. Pascale, S. Reimann

“…The relative differences were within the measurement uncertainty for acetone, MEK, methanol and acetaldehyde at an amount of substance fractions around 10 <span class="inline-formula">nmol mol⁻¹</span>. For the working standards based on certified spiked whole-air samples in pressurised cylinders, results showed a good agreement among the laboratories (i.e. differences within the measurement expanded uncertainty (<span class="inline-formula"><i>U</i></span>) ranging between 0.5 and 3.3 <span class="inline-formula">nmol mol⁻¹</span>) and with the certified amount of substance fraction for acetaldehyde (15.7 nmol mol<span class="inline-formula">⁻¹</span> <span class="inline-formula">±</span> 3.6 (<span class="inline-formula"><i>U</i></span>) nmol mol<span class="inline-formula">⁻¹</span>), acetone (17 nmol mol<span class="inline-formula">⁻¹</span> <span class="inline-formula">±</span> 1.5 (<span class="inline-formula"><i>U</i></span>) nmol mol<span class="inline-formula">⁻¹</span>) and MEK (12.3 nmol mol<span class="inline-formula">⁻¹</span> <span class="inline-formula">±</span> 2.3 (<span class="inline-formula"><i>U</i></span>) nmol mol<span class="inline-formula">⁻¹</span>). …”
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Impact of mineral dust on the global nitrate aerosol direct and indirect radiative effect by A. Milousis, K. Klingmüller, A. P. Tsimpidi, J. F. Kok, M. Kanakidou, M. Kanakidou, M. Kanakidou, A. Nenes, A. Nenes, V. A. Karydis

“…This is due to the continued strong decrease in SO<span class="inline-formula">₂</span> emissions, which is not accompanied by a corresponding decrease in NO<span class="inline-formula">_<i>x</i></span> and especially NH<span class="inline-formula">₃</span> emissions. …”
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Sphere Theorems for <i>σ_k</i>-Einstein Manifolds by Jingyang Zhong, Xinran Mu

“…In this note, we provide the definitions of <inline-formula><math xmlns="http://www.w3.org/1998/Math/MathML" display="inline"><semantics><msub><mi>σ</mi><mi>k</mi></msub></semantics></math></inline-formula>-curvatures and <inline-formula><math xmlns="http://www.w3.org/1998/Math/MathML" display="inline"><semantics><msub><mi>σ</mi><mi>k</mi></msub></semantics></math></inline-formula>-Einstein manifolds, and we show that a closed <inline-formula><math xmlns="http://www.w3.org/1998/Math/MathML" display="inline"><semantics><msub><mi>σ</mi><mi>k</mi></msub></semantics></math></inline-formula>-Einstein manifold under certain pinching conditions of a Weyl curvature and Einstein curvature is isometric to a quotient of a round sphere.…”
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Power Controlled Resource Allocation and Task Offloading via Optimized Deep Reinforcement Learning in D2D Assisted Mobile Edge Computing by Sambi Reddy Gottam, Udit Narayana Kar

“…This study introduces an optimized deep reinforcement learning (DRL) approach for D2D-assisted task offloading (<inline-formula> <tex-math notation="LaTeX">$T_{o}$ </tex-math></inline-formula>) and resource allocation (<inline-formula> <tex-math notation="LaTeX">$R_{a}$ </tex-math></inline-formula>) to address these challenges. …”
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A Muscle Physiology-Based Framework for Quantifying Training Load in Resistance Exercises by Frank Imbach, Stéphane Perrey, Thomas Brioche, Robin Candau

“…Systemic and local physiological responses were measured, and sessions were volume-equated according to the “volume-load” (VL) method. Results: Significant differences were found between sessions in terms of mechanical work (<inline-formula><math xmlns="http://www.w3.org/1998/Math/MathML" display="inline"><semantics><mrow><mi>p</mi><mo><</mo><mn>0.05</mn></mrow></semantics></math></inline-formula> and <inline-formula><math xmlns="http://www.w3.org/1998/Math/MathML" display="inline"><semantics><mrow><mi>p</mi><mo><</mo><mn>0.001</mn></mrow></semantics></math></inline-formula>, for LI-MI and MI-HI, respectively), averaged normalised torque (<inline-formula><math xmlns="http://www.w3.org/1998/Math/MathML" display="inline"><semantics><mrow><mi>p</mi><mo><</mo><mn>0.001</mn></mrow></semantics></math></inline-formula>), mechanical impulse (<inline-formula><math xmlns="http://www.w3.org/1998/Math/MathML" display="inline"><semantics><mrow><mi>p</mi><mo><</mo><mn>0.001</mn></mrow></semantics></math></inline-formula>), and rate of force development (RFD, <inline-formula><math xmlns="http://www.w3.org/1998/Math/MathML" display="inline"><semantics><mrow><mi>p</mi><mo><</mo><mn>0.001</mn></mrow></semantics></math></inline-formula> for LI-MI). …”
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Advances in Light Field Spatial Super-Resolution: A Comprehensive Literature Survey by Wenqi Lyu, Hao Sheng, Wei Ke, Xiao Ma

“…Although these models have made significant progress at lower magnifications (e.g., <inline-formula> <tex-math notation="LaTeX">$2\times $ </tex-math></inline-formula> and <inline-formula> <tex-math notation="LaTeX">$4\times $ </tex-math></inline-formula>), current methods exhibit clear limitations at higher magnifications (e.g., <inline-formula> <tex-math notation="LaTeX">$8\times $ </tex-math></inline-formula> and <inline-formula> <tex-math notation="LaTeX">$16\times $ </tex-math></inline-formula>), particularly in maintaining structural integrity and disparity consistency. …”
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A Low-Complexity Diversity-Preserving Universal Bit-Flipping Enhanced Hard Decision Decoder for Arbitrary Linear Codes by Praveen Sai Bere, Mohammed Zafar Ali Khan, Lajos Hanzo

“…Moreover, it exhibits &#x2018;universal&#x2019; applicability to all linear block codes. For a <inline-formula><tex-math notation="LaTeX">$\mathscr {C}(n,k)$</tex-math></inline-formula> code having a minimum distance <inline-formula><tex-math notation="LaTeX">${d_{\min }}$</tex-math></inline-formula>, the proposed decoder incurs a worst-case complexity order of <inline-formula><tex-math notation="LaTeX">$2^{({d_{\min }}-1)}-1$</tex-math></inline-formula>. …”
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A Vs-Based Logistic Regression Method for Liquefaction Evaluation by Xiaofei Yao, Lu Liu, Zhihua Wang, Zhifu Shen, Hongmei Gao

“…The current liquefaction evaluation methods mainly focus on the success rate for liquefied sites so that the evaluation result tends to be conservative at different seismic intensities. …”
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Solutions of Cauchy Problems for the Caudrey–Dodd–Gibbon–Kotera–Sawada Equation in Three Spatial and Two Temporal Dimensions by Yufeng Zhang, Linlin Gui

“…Some significant propositions and results are presented in this paper.…”
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Seasonal Mathematical Model of Salmonellosis Transmission and the Role of Contaminated Environments and Food Products by Mohammed H. Alharbi, Fawaz K. Alalhareth, Mahmoud A. Ibrahim

“…When <inline-formula><math xmlns="http://www.w3.org/1998/Math/MathML" display="inline"><semantics><msub><mi mathvariant="script">R</mi><mn>0</mn></msub></semantics></math></inline-formula> is less than 1, the disease-free equilibrium is stable, resulting in the extinction of the disease. …”
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Wave erosion, frontal bending, and calving at Ross Ice Shelf by N. B. Sartore, T. J. W. Wagner, M. R. Siegfried, N. Pujara, L. K. Zoet

“…We consider satellite observations together with an elastic beam model and a parameterization of wave erosion to better understand the dynamics at the ice shelf front. Our results suggest that on average frontal ablation rather consistently accounts for <span class="inline-formula">20±5</span> m yr<span class="inline-formula">⁻¹</span> of ice loss at Ross Ice Shelf, likely mostly due to wave erosion and smaller-scale, <span class="inline-formula">𝒪</span>(100 m), foot-induced calving. …”
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The role of OCO-3 XCO₂ retrievals in estimating global terrestrial net ecosystem exchanges by X. Wang, F. Jiang, F. Jiang, F. Jiang, H. Wang, Z. Zhang, M. Wu, J. Wang, W. He, W. Ju, W. Ju, J. M. Chen, J. M. Chen

“…The results show that when only the OCO-3 XCO<span class="inline-formula">₂</span> is assimilated (Exp_OCO3), the estimated global land sink is significantly lower than that from the OCO-2 experiment (Exp_OCO2). …”
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Forecasting contrail climate forcing for flight planning and air traffic management applications: the CocipGrid model in pycontrails 0.51.0 by Z. Engberg, R. Teoh, T. Abbott, T. Dean, M. E. J. Stettler, M. L. Shapiro

“…Outputs are provided for <span class="inline-formula"><i>N</i></span> aircraft-engine groups, with groupings based on similarities in aircraft mass and engine particle number emissions: <span class="inline-formula"><i>N</i>=7</span> results in a 3 % mean error between the trajectory- and grid-based CoCiP, while <span class="inline-formula"><i>N</i>=3</span> facilitates operational simplicity but increases the mean error to 13 %. …”
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