Injectable double network hydrogel with adjustable stiffness for modulation of macrophage polarization by Jinxin Wu, Bing Han, Shili Ai, Aijing Wang, Yilin Song, Moran Jin, Xiaozhong Qu, Xiaoyan Wang

“…In this study, we examined IACs-related integrins related to stiffness-sensitive macrophage polarization by constructing an injectable double-network (DN) hydrogel with varying stiffness. …”
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Investigation of Microstructure and Mechanical Properties of Aluminium 5356 Using Wire Arc Additive Manufacturing by K.Saravanakumar, S.Ananth, J.Medoline, M.Dharshini, K.M.Sansuuki Priyanka

“… Wire arc additive manufacturing is a 3D metal printing method that constructs objects layer by layer using an electric arc. …”
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Prediction of Radiation Belts Electron Fluxes at a Low Earth Orbit Using Neural Networks With PROBA‐V/EPT Data by Edith Botek, Viviane Pierrard, Alexandre Winant

“…The analysis of different input parameters and time resolutions allows to construct the best data set structure and improve the model to identify relevant effects such as dropouts, flux increase and recovery features.…”
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Discrete-Time Event-Triggered Control of Nonlinear Wireless Networked Control Systems by Songlin Hu, Dong Yue, Min Shi, Xiangpeng Xie

“…If these conditions are feasible, a desired fuzzy event-triggered controller can be readily constructed. A nonlinear mass-spring-damper mechanical system is presented to demonstrate the effectiveness of the proposed method.…”
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Finite element analysis of the influence of perioral force on alveolar ridge healing in areas missing maxillary anterior teeth by An-Ke Li, Yan-Ting He, Xuan Li, Cheng-Yuan Han, Jian-Yong Dong, Kai-Qi Zhang, Jun Cui

“…Methods Using conical beam CT (CBCT) images of a healthy person, models of the complete maxillary anterior dental region (Model A) and maxillary anterior dental region with a missing left maxillary central incisor (Model B) were constructed. The labial and palatine alveolar bone and tooth surface of the bilateral incisor and cusp regions were selected as the application sites, the resting perioral force was applied perpendicular to the tissue surface, and the changes in maxillary stress and displacement after the perioral force was simulated were analyzed. …”
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Assessing ECG Interpretation Expertise in Medical Practitioners Through Eye Movement Data and Neuromorphic Models by Syed Mohsin Bokhari, Muhammad Shafi, Fazal Noor, Sarmad Sohaib, Saad Alqahtany, Mark Donnelly

“…This paradigm has the potential to construct skill evaluation tools in medical education, specifically for ECG interpretation training, thereby addressing prevalent difficulties related to inconsistent ECG diagnosis methods.…”
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Orthogonal tucker decomposition using factor priors for 2D+3D facial expression recognition by Yunfang Fu, Qiuqi Ruan, Ziyan Luo, Gaoyun An, Yi Jin

“…As a powerful technique, Tucker decomposition on the basis of the low rank approximation is often used to extract the useful information from the constructed 4D tensor composed of 3D face scans and 2D images aiming to maintain correlations and their structural information. …”
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Research on Typhoon Prediction by Integrating Numerical Simulation and Deep Learning Methods by Tianyi Lv, Huaming Yu, Liangshi Lin, Yijun Tao, Xin Qi

“…The model predicts maximum wind speeds based on existing atmospheric numerical forecasts, constructs a parametric wind field model from these predictions, and integrates it with the numerical model wind fields to generate an LSTM-optimized wind field. …”
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Experience in applying large language models to analyse quantitative sociological data by E. G. Ashikhmin, V. V. Levchenko, G. I. Seletkova

“…Practical examples show how the LLM can be used to construct frequency and summary tables, calculate averages and conduct correlation analysis. …”
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Bivariate power Lomax Sarmanov distribution: Statistical properties, Reliability measures, and Parameter estimation by M.A. Abd Elgawad, M.A. Alawady, H.M. Barakat, G.M. Mansour, I.A. Husseiny, Salem A. Alyami, Atef F. Hashem, M.O. Mohamed

“…This paper presents a bivariate power Lomax Sarmanov distribution (BPL-SARD) constructed from Sarmanov copulas and power Lomax (PL) marginal distributions. …”
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Quadrotor Unmanned Aerial Vehicle-Mounted Launch Device Precision Analysis for Countering Intruding Drones by Yanan He, Lingsong Di, Huiqi Xu, Weigui Zeng, Wei Li, Silei Cao

“…For an “X”-shaped quadrotor drone equipped with a two-degree-of-freedom gimbal launch device, dynamic, control, and ballistic models are constructed to analyze the impact of single-shot firing on the drone’s attitude and the factors affecting accuracy in rapid-fire scenarios. …”
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Image Denoising of Adaptive Fractional Operator Based on Atangana–Baleanu Derivatives by Xiaoran Lin, Yachao Wang, Guohao Wu, Jing Hao

“…Edge intensity, global entropy, local entropy, and local variance weights are used to construct an adaptive order function that can adapt to changes in different regions of an image. …”
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Microdifferential Pressure Measurement Device for Cellular Microenvironments by Mami Akaike, Jun Hatakeyama, Yoichi Saito, Yoshitaka Nakanishi, Kenji Shimamura, Yuta Nakashima

“…The device comprises a glass substrate and a microchannel constructed of polydimethylsiloxane, polytetrafluoroethylene tubes, a glass capillary, and a microsyringe pump. …”
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Adaptive prescribed performance estimator for Hammerstein-like system identification based on quantized observations and its application by Huijie Lei, Yanwei Zhang, Xikun Lu

“…Firstly, a low-pass filter and forcing variables are developed to construct the transient performance error expression. …”
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Few-Shot Graph Anomaly Detection via Dual-Level Knowledge Distillation by Xuan Li, Dejie Cheng, Luheng Zhang, Chengfang Zhang, Ziliang Feng

“…These soft labels are then employed to construct the corresponding loss for training a student model, which can capture more detailed node features. …”
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A Planar Acoustic Field Reconstruction Method Based on Fast Wave Superposition Spectrum and Sparse Sampling by Yang Zhang, Yu-Jiang Wang, Yu Xiang, Zi-Yu Shi, Shao-Jie Fan, Jing Lu

“…The proposed method offers two main advantages compared with the traditional compressive equivalent source method: (1) the unknown source intensity vector is expanded into a bidirectional Fourier series, thereby transforming an unknown source intensity vector into a sparse Fourier coefficient vector, which has better sparsity; (2) the proposed method constructs a random sampling matrix, which is expanded into a sparse sampling matrix by random distribution, thereby improving the reconstruction accuracy of planar near-field acoustic field compared with the traditional random position sampling method reducing correlation in the transfer matrix.…”
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Analysis of Risk Bus Driver Characteristics and Research on Risk Level Evaluation Methods for Bus Drivers by Tongqiang Ding, Huijuan Yin, Zhiqiang Li, Xinyu He, Lili Zheng, Jianfeng Xi

“…A grey whitening weight function model is then constructed to evaluate the risk levels of bus drivers, achieving a quantified assessment of their risk levels. …”
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Power Transformer Health Index Using Cost-Sensitive Learning to Consider the Impact of Misclassification by Junsoo Che, Gihun Park, Jeongsik Oh, Su-Han Pyo, Byeonghyeon An, Taesik Park

“…Therefore, this study proposes a health index calculation algorithm that incorporates cost-sensitive learning to assess the impact of each misclassification scenario, construct a cost matrix, and minimize the cost through learning. …”
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Research on the evaluation method of cooperative jamming effectiveness based on IPSO-ELM by A. Tianjian Yang, B. Xing Wang, C. Siyi Cheng, D. You Chen, E. Xi Zhang

“…On this basis, the cooperative jamming decision schemes and their corresponding cooperative jamming effectiveness values are solved at different locations in the target space, and the results are detected as outliers using box plots, thus constructing sample data for cooperative jamming effectiveness evaluation. …”
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Classification of Thyroid Nodules with Stacked Denoising Sparse Autoencoder by Zexin Li, Kaiji Yang, Lili Zhang, Chiju Wei, Peixuan Yang, Wencan Xu

“…Immune-related genes were used to construct the classifier with stacked denoising sparse autoencoder. …”
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