Integration of miRNA expression analysis of purified leukocytes and whole blood reveals blood-borne candidate biomarkers for lung cancer by Guini Hong, Yue Huo, Yaru Gao, Liyuan Ma, Shuang Li, Tian Tian, Haijian Zhong, Hongdong Li

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Three-Dimensional Inversion of the Time-Lapse Resistivity Method on the MPI Parallel Algorithm by Depeng Zhu, Youxing Yang, Lei Wen

“…To address these issues, we develop a three-dimensional inversion algorithm for the resistivity method that incorporates time-lapse constraints. Additionally, MPI parallelization is integrated into the program to increase computational efficiency. …”
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Reduction of uncertainties in rice yield response to elevated CO2 by experiment-model integration: A case study in East China by Zihao Wang, Yu Zhang, Xueni Wang, Yanfeng Ding, Songhan Wang

“…Using CFE measurements from a field experiment as benchmark, we have developed an experiment–model integration approach aiming to reduce this variation. …”
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An Improvement of the Load Transfer Method for Energy Piles Under Thermo-Mechanical Loads by Haofan Yang, Haowen Pan, Chenfeng Zong, Ziyi Wang, Gang Jiang

“…The average error compared with field test results is within 20%, with consistent trend patterns, confirming the feasibility of the proposed method. Computational results demonstrate that the proposed method effectively captures the combined effects of mechanical load and temperature variations on the bearing behavior of energy piles. …”
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Structural health monitoring and evaluation method for an immersed tunnel based on deep learning by Yuhang Wei, Jinfang Hou, Linhu Yang, Bin Li, Zonghao Ma, Zhao Liu, Wenhao Sun, Binlei Wang

“…This research examines sensor data to evaluate variations in critical parameters and their effects on structural integrity. …”
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A Terrain-Constrained Cross-Correlation Matching Method for Laser Footprint Geolocation by Sihan Zhou, Pufan Zhao, Jian Yang, Qijin Han, Yue Ma, Hui Zhou, Song Li

“…This study proposes a terrain-constrained cross-correlation matching (TC-Match) method. By integrating the terrain characteristics of the laser footprint area with spaceborne altimetry data, a sliding “time-shift” constraint range is constructed. …”
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An online learning method for assessing smart grid stability under dynamic perturbations by Alaa Alaerjan, Randa Jabeur

“…Through iterative learning cycles augmented by incremental perturbation adjustments, our method significantly improves predictive accuracy. …”
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SDGTrack: A Multi-Target Tracking Method for Pigs in Multiple Farming Scenarios by Tao Liu, Dengfei Jie, Junwei Zhuang, Dehui Zhang, Jincheng He

“…To enhance the model’s generalization in diverse tracking scenarios, we have innovatively proposed the SDGTrack method. This method improves tracking performance across various farming environments by enhancing the model’s adaptability to different domains and integrating an optimized tracking strategy, significantly increasing the generalization of group pig tracking technology across different scenarios. …”
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Power Equipment Image Recognition Method Based on Feature Extraction and Deep Learning by Shuang Lin

“…Furthermore, a long short-term memory (LSTM) gate mechanism is employed to predict power equipment target features at different levels of image feature information, constructing an attention mechanism network based on the LSTM gating mechanism. Additionally, the method introduces a deep-shallow feature interaction strategy: it integrates shallow and deep feature information through matrix outer product operations, enabling the model to fully learn multi-level features of power equipment. …”
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Research on Grouting Dynamic Monitoring Based on Borehole–Tunnel Joint Resistivity Method by Cheng Wang, Lei Zhou, Liangjun Yan, Bofan Li

“…To address the challenge of dynamic monitoring during grouting operations in coal mine fault zones under pressurized mining, this study proposes the Borehole–Tunnel Joint Resistivity Method (BTJRM). By integrating three-dimensional (3D) electrode arrays in both tunnels and boreholes with 3D resistivity inversion technology, this approach enables fully automated underground data acquisition and real-time processing, facilitating comprehensive dynamic monitoring of grout propagation. …”
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Global Optical and SAR Image Registration Method Based on Local Distortion Division by Bangjie Li, Dongdong Guan, Yuzhen Xie, Xiaolong Zheng, Zhengsheng Chen, Lefei Pan, Weiheng Zhao, Deliang Xiang

“…Variations in terrain elevation cause images acquired under different imaging modalities to deviate from a linear mapping relationship. …”
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Rolling Bearing Fault Diagnosis Method Based on SWT and Improved Vision Transformer by Saihao Ren, Xiaoping Lou

“…To address the challenge of low diagnostic accuracy in rolling bearing fault diagnosis under varying operating conditions, this paper proposes a novel method integrating the synchronized wavelet transform (SWT) with an enhanced Vision Transformer architecture, referred to as ResCAA-ViT. …”
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Determination of Active Pharmaceutical Substances Dissolution Rate by Laser Light Diffraction Method by E. V. Uspenskaya, I. V. Kazymova, T. V. Pleteneva, T. E. Elizarova, A. V. Syroeshkin

“…An additional analytical method for determination of API dissolution rate by laser light diffraction method was developed. …”
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Insights and Recommendations for the Assessment and Design of Fault Diagnosis Methods Applied to Modern Distribution Systems by Talita M. O. A. Cunha, Gabriela N. Lopes, Leonardo S. Lessa, Moises J. B. B. Davi, Mario Oleskovicz, Jose C. M. Vieira

“…The growing integration of Distributed Generation (DG) and the complexity of modern distribution networks present new challenges in fault diagnosis. …”
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MESM: integrating multi-source data for high-accuracy protein-protein interactions prediction through multimodal language models by Feng Wang, Jinming Chu, Liyan Shen, Shan Chang

“…MESM consists of three key modules, as follows: First, MESM extracts multimodal representations from protein sequence information, protein structure information, and point cloud features through Sequence Variational Autoencoder (SVAE), Variational Graph Autoencoder (VGAE), and PointNet Autoencoder (PAE). …”
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On Analytical Solution of Time-Fractional Biological Population Model by means of Generalized Integral Transform with Their Uniqueness and Convergence Analysis by Saima Rashid, Rehana Ashraf, Ebenezer Bonyah

“…This research utilizes the generalized integral transform and the Adomian decomposition method to derive a fascinating explicit pattern for outcomes of the biological population model (BPM). …”
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Infrared Thermography for Non-Destructive Testing of Cooling Hole Integrity and Flow Evaluation in Specimens Made with Innovative Technologies by Ester D’Accardi, Luca Ammannato, Alessandra Giannasi, Marco Pieri, Giuseppe Masciopinto, Francesco Ancona, Giovanni Santonicola, Davide Palumbo, Umberto Galietti

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Research Progress Analysis Regarding Rainfall-Runoff Relationships Based on Bibliometrics and Visual Methods by Yi Qi, Wang Ruifang, Dou Xiaodong, Gao Yuting, Wang Changhao, Yang Lu

“…[Results] ① The study of rainfall-runoff relationships has always focused on the relationship between rainfall, infiltration, surface runoff, and erosion, as well as on the simulation of slope runoff. Research methods have included rainfall simulation, mathematical statistical methods, tracer techniques, etc. …”
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An Exergy-Enhanced Improved IGDT-Based Optimal Scheduling Model for Electricity–Hydrogen Urban Integrated Energy Systems by Min Xie, Lei Qing, Jia-Nan Ye, Yan-Xuan Lu

“…Urban integrated energy systems (UIESs) play a critical role in facilitating low-carbon and high-efficiency energy transitions. …”
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Integrating Copula-Based Random Forest and Deep Learning Approaches for Analyzing Heterogeneous Treatment Effects in Survival Analysis by Jong-Min Kim

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