Integration of graph neural networks and transcriptomics analysis identify key pathways and gene signature for immunotherapy response and prognosis of skin melanoma by Maodong Ye, Shuai Ren, Huanjuan Luo, Xiumin Wu, Hongwei Lian, Xiangna Cai, Yingchang Ji

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Path planning method for maritime dynamic target search based on improved GBNN by Zhaozhen Jiang, Xuehai Sun, Wenlon Wang, Shuzeng Zhou, Qiang Li, Lianglong Da

“…Abstract To address the issues of low discovery probability, inefficient search, and antagonistic targets during the process of dynamic target search in the ocean, a dynamic target search path planning method based on the Glasius biologically-inspired neural network (GBNN) in combination with marine environmental information is proposed. …”
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Data-Model Fusion-Driven Method for Fault Quantitative Diagnosis of Heat Exchanger by Xiaogang Qin, Shiwei Yan, Haibo Xu, Yi Gao, Yanbing Yu, Jinjiang Wang

“…Finally, a heat exchanger experiment is carried out to demonstrate the robustness and accuracy of the proposed method.…”
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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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A Null Space Sensitivity Analysis for Hydrological Data Assimilation with Ensemble Methods by Nick Martin, Jeremy White, Paul Southard

“…A new null space sensitivity analysis for ensemble methods of data assimilation (DA) using observation error models is developed and implemented for an integrated hydrological model. …”
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Research on Intelligent Planning Method for Turning Machining Process Based on Knowledge Base by Yante Li, Tingting Zhou

“…Against the backdrop of accelerating transformation in traditional mechanical manufacturing toward intelligent production models integrating mechanical, electronic, and information technologies, coupled with increasing demands for mass customization, conventional machining methods are proving inadequate to meet modern manufacturing requirements. …”
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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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A Comprehensive Review: Molecular and Genealogical Methods for Preserving the Genetic Diversity of Pigs by Vladimir Margeta, Dubravko Škorput, Ivona Djurkin Kušec, Zlata Kralik, Goran Kušec, Kristina Gvozdanović

“…In addition, molecular methods such as structural variation (SV) analysis and pangenome and epigenomic profiling provide a more comprehensive insight into genetic diversity. …”
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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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Modeling and Comparison of the Modified Ludzack–Ettinger Process with Septic Tank Integration for Wastewater Treatment in Small Communities Using GPS-X by Mitra Hosseini, Saba Majidi

“…Methods: In this study, two scenarios MLE and SEP-MLE processes for wastewater treatment were simulated using the data of the Noshabad city wastewater treatment plant as a small community and GPS-X software. …”
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The role of Top management team behavioral integration on organizational vitality by mediating dynamic capabilities/ Analytical survey research in the Ministry of Health by Teacher Dr. Mustafa AbdulAbbas Assad *

“…The study utilized a questionnaire as a data collection tool, with data analyzed using statistical packages (SPSS, Amos V.23) and employing various statistical methods including Cronbach's alpha, confirmatory factor analysis, mean, standard deviation, coefficient of variation, Pearson correlation, simple regression, direct and indirect effect tests, and the Sobel test. …”
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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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Effects of different warm-up methods on 50-meter breaststroke swimming performance by Hsuan-Yen Lee, Te Chao, Chi-Chieh Hsu, Ning-Wei Chang, Yi-Liang Chen, Yung-Shen Tsai

“…PurposeTo examine the effects of different warm-up methods on 50 m breaststroke performance in both breaststroke specialists and individual medley swimmers.Methods18 swimmers (breaststroke group: 9, individual medley group: 9) who met the qualification standards for the National Intercollegiate Athletic Games participated in this study. …”
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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

“…The strategy of quality control of drugs provides for compliance with the requirements of regulatory documentation methods and critical quality indicators that determine its effectiveness. …”
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