A COSMIC-2-Based Global Mean TEC Model and Its Application to Calibrating IRI-2020 Global Ionospheric Maps by Yuxiao Lei, Weitang Wang, Yibin Yao, Liang Zhang

“…Building on this compressed representation, we implemented a convolutional neural network (CNN) that incorporates GMEC as an auxiliary feature to calibrate IRI-2020’s global ionospheric maps. …”
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Enhancing strength and sustainability of concrete with steel slag aggregate by Ibrahim Kamal Ibrahim, Mohammed Rady, Nouran M. Tawfik, Mahmoud Kassem, Sameh Youssef Mahfouz

“…The results revealed that concrete mixtures utilizing steel slag demonstrated substantial enhancements in compressive strength, with four mixtures featuring complete replacement of natural aggregates achieving more than 1.7 times the strength of control mix. …”
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Pressure-driven polymeric membrane performance prediction, new membrane dimensionless number, and considerations for effective membrane design, selection, testing, and operation by Alexander R. Anim-Mensah, Alexander R. Anim-Mensah

“…A model is here developed which relates membrane performance, indicated by the permeate solute concentration (Cpi) of species i, to the real-time compressive Young’s modulus (E) during compaction with permeation under a transmembrane pressure (ΔP) or compressive stress. …”
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Black hole shadows in accelerating Kerr–Newman–Taub–NUT and Braneworld spacetimes by Haryanto M. Siahaan

“…By deriving a separable Hamilton–Jacobi equation for null test particles, we demonstrate that the additional parameters enable equatorial circular photon orbits, a feature absent in generic accelerating spacetimes. …”
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The Application of Variable Fuzzy Sets Theory on the Quality Assessment of Surrounding Rocks by Jian-Li Shao, Lei Gao, Qi-Hong Wu, Xin-Bao Gu

“…Finally, the fracture behavior level of surrounding rocks is determined using the mean ranking feature value. The conclusions demonstrate that the results obtained based on the variable fuzzy sets method are consistent with the current specification; its accuracy arrives at 80%. …”
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Unraveling electronic correlations in warm dense quantum plasmas by Tobias Dornheim, Tilo Döppner, Panagiotis Tolias, Maximilian P. Böhme, Luke B. Fletcher, Thomas Gawne, Frank R. Graziani, Dominik Kraus, Michael J. MacDonald, Zhandos A. Moldabekov, Sebastian Schwalbe, Dirk O. Gericke, Jan Vorberger

“…Here, we demonstrate how ab initio path integral Monte Carlo simulations allow us to unravel this intricate interplay for the example of strongly compressed beryllium, focusing on two X-ray Thomson scattering data sets obtained at the National Ignition Facility. …”
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A One-Dimensional Depthwise Separable Convolutional Neural Network for Bearing Fault Diagnosis Implemented on FPGA by Yu-Pei Liang, Hao Chen, Ching-Che Chung

“…Additionally, the DoReFa-Net quantization method is applied to compress network parameters and activation function outputs, thereby minimizing memory usage. …”
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Experimental and Numerical Investigation on the Effect of Different Types of Synthetic Fibers on the Flexure Behavior and Mechanical Properties of 3D Cementitious Composite Printin... by Ahmed M. Yassin, Mohamed Ahmed Hafez, Mohamed Gamal Aboelhassan

“…The numerical results demonstrated the efficacy of the Menetrey–Willam constitutive model, featuring a linear softening yield function in accurately simulating the flexural behavior of the analyzed beams with various fiber types.…”
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Stability of multispan rods by L. A. Baragunova, M. M. Shogenova

“…The use of the finite difference method is a feature in solving systems of equations in problems with boundary conditions.Result. …”
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Spatial-Temporal Sequence Attention Based Efficient Transformer for Video Snow Removal by Tao Gao, Qianxi Zhang, Ting Chen, Yuanbo Wen

“…Furthermore, we introduce the concept of Neural Representation for Videos (NeRV) and effectively reconstruct compressed videos after multi-resolution feature extraction using the recovery NeRV module, thereby further reducing computational consumption. …”
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Nonlinear Elastic Foundation Plate Model Study on Overlying Strata Movement in Working Face with Solid Backfilling Mining by Baifu An, Nailu Li, Qiaomei Yi, Dong Zhang, Hailong Wang

“…Although solid backfilling materials are featured with obvious nonlinear stress-strain properties, for a long time, they have been usually simplified as linear elastic materials for approximate calculation in mechanical analysis, so it is difficult to accurately reflect their deformation process. …”
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Influence of technological manufacturing conditions on the porosity of calcium-phosphate scaffolds by Chernobrovchenko V. S., Dyadyura K. О., Balynskyi M., Panda A.

“…The investigated properties were elastic moduli, ultimate strength, compressive strength, and average apparent density. …”
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Multisystemic Benign Metastasizing Leiomyoma: An Unusual Condition with an Atypical Clinical Presentation by Fernando Matos, Cristina Santiago, Duarte Silva

“…Subsequently, a CT examination showed several soft tissue density round masses in both lungs, but the most striking feature was a 12 cm mass located in the left iliac crest. …”
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Wi-Pest:a method for detecting stored grain pests based on CSI by Shaowei SHAN, Weidong YANG, Le XIAO, Ke WANG

“…The environmental and biological factors that affect the food security during the food storage,such as the food temperature,environment humidity,moisture,gas,mildew,pests and others pose a threat to the food storage security,among which the pest is an important factor threatening food storage security.Therefore,a fast and effective detection method is needed to detect stored grain pests.Some of the existing methods are time consuming,using expensive equipment,potentially harmful to health and inefficient.A non-contact,fast and low-cost detection method for stored grain pests based on the amplitude of the channel state information (CSI) was proposed,namely,wireless-pest (Wi-Pest).The feasibility of the pest detection in the stored grain was verified by using CSI amplitude data.On this basis,a Wi-Pest detection method was designed.Firstly,the amplitude data of CSI was preprocessed by outliers removal,data normalization and noise elimination.Then the principal component analysis (PCA) was used to compress the data and extract the main feature components.Finally,random forest (RF) classification method was used to detect stored grain pests.Experiments show that the abnormal density of live pests in grain heaps can be detected under the line of sight (LOS) scenario,and the detection accuracy of the proposed method can reach 97% on average.…”
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Research on Freeze-thaw Resistance of High-strength Porous Concrete by NIE Qingnian, YANG Yongmin, LIU Xiaofei, LI Haibo, LYU Kai

“…Because porous concrete is feature with a large pore structure and porosity,the freezing of water enriched in the pores in winter will have a greater impact on the performance of porous concrete.This paper puts forward the test method and evaluation index of the freeze-thaw resistance of porous concrete with reference to those of ordinary concrete,and systematically studies the effect of fly ash,slag,silica fume,fine sand and crack-resistant fiber on the freeze-thaw resistance of porous concrete.The results show that:The compressive strength of the prepared porous concrete is about 30.2~35.6 MPa for 28 days.The addition of fly ash,fine sand and fiber alone has no effect on the freeze-thaw resistance of porous concrete.Silica fume is beneficial to improve the freeze-thaw resistance.After adding 10% silica fume,when the number of cycles reaches 60,the dynamic elastic modulus can reach 66.8%,the mass loss rate is only 0.35%,and the freeze-thaw resistance index is 12.58.The porous concrete contains more connected pores,but it may still be damaged by volume expansion after water freezes.However,after adding silica fume,the freeze-thaw resistance of slurry is improved by increasing the amount of C-S-H gel,enhancing the adhesion between the interface and strengthening the interface.…”
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An AI-Based Horticultural Plant Fruit Visual Detection Algorithm for Apple Fruits by Bin Yan, Xiameng Li, Rongshan Yan

“…Because of its efficient computing modes, lightweight design, and flexible structural adaptation, the DWConv module has significant advantages in multi-scale feature extraction, real-time performance improvement, and small-object detection. …”
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The Impact of Integrating Shallow and Deep Information on Knowledge Distillation by Yilin Miao, Yuhong Tang, Huangliang Ren, Jianjun Li

“…Knowledge distillation is a key technique for compressing neural networks, leveraging insights from a large teacher model to enhance the generalization capability of a smaller student model. …”
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Real-Time Detection of Varieties and Defects in Moving Corn Seeds Based on YOLO-SBWL by Yuhang Che, Hongyi Bai, Laijun Sun, Yanru Fang, Xinbo Guo, Shanbing Yin

“…At the neck of the network, the path-aggregation feature pyramid network was replaced with the weighted bi-directional feature pyramid network (BiFPN) to increase the accuracy of classifying undamaged corn seeds. …”
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Enhancing concrete strength for sustainability using a machine learning approach to improve mechanical performance by Amir Khan, Aneel Manan, Muhammad Umar, Mudassir Mehmood, Kennedy C. Onyelowe, Krishna Prakash Arunachalam

“…A robust dataset of 583 samples was compiled from the literature, featuring 10 input parameters and two key outputs: compressive strength (Fc) and split tensile strength (STS). …”
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Dissipative Soliton Generation in a Phase-Biased All-PM Fiber Oscillator in the Normal-Dispersion Regime by Yuxian Zhang, Guanyun Ding, Guanyu Liu

“…The delivered pulses are compressed externally using a grating pair, achieving a minimum pulse duration of 174 fs. …”
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