Analysis and Discussion on the Anti - Corrosion System of Hot Dip Galvanizing for Steel Components in Guangzhou Substations by WANG Wen - jun, KONG Gang, LAI De - lin, CHE Chun - san, LI Chen - tao, LIN Li - bo, CAI Di

“…The select of coating layer should be scientific and reasonable. The alkyd layer had a poor adhesion property to the galvanizing coating, while the acrylic acid layer or the polyurethane layer had a good adhesion property.…”
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LDAGM: prediction lncRNA-disease asociations by graph convolutional auto-encoder and multilayer perceptron based on multi-view heterogeneous networks by Bing Zhang, Haoyu Wang, Chao Ma, Hai Huang, Zhou Fang, Jiaxing Qu

“…Abstract Background Long non-coding RNAs (lncRNAs) can prevent, diagnose, and treat a variety of complex human diseases, and it is crucial to establish a method to efficiently predict lncRNA-disease associations. …”
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A Review of Smart Grid Evolution and Reinforcement Learning: Applications, Challenges and Future Directions by Na Xu, Zhuo Tang, Chenyi Si, Jinshan Bian, Chaoxu Mu

“…This study compares the applicability, advantages, and limitations of different reinforcement learning algorithms in practical scenarios, and reveals core challenges such as state space complexity, learning stability, and computational efficiency. …”
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Tribological performance and lubrication mechanism of polyacrylamide as a high-efficiency water-based lubricant additive for titanium alloys by Jinzhu Tang, Shuqing Chen, Wenhui Cao, Hongmei Xie, Xin Quan, Qi Ding

“…Water-based lubricants are commonly used for titanium alloys because of their effective cooling properties, despite encountering challenges such as poor lubrication performance and complex mechanisms. This study first demonstrates that polyacrylamide (PAM) is an excellent water-based lubricant additive for the Ti6Al4V (TC4)/GCr15 interface. …”
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Enhancing relative humidity modelling using L2 regularization updates by Abdellah Ben Yahia, Iman Kadir, Abdelaziz Abdallaoui, Abdellah El-Hmaidi

“…SOM complements PCA by highlighting data structure nuances and detect complex correlations. L2 regularization, particularly with Lambda = 0.01, effectively reduces data complexity and dispersion, preventing overfitting while enhancing prediction accuracy. …”
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The CFS-PML for 2D Auxiliary Differential Equation FDTD Method Using Associated Hermite Orthogonal Functions by Feng Jiang, Xiao-Ping Miao, Feng Lu, Li-Yuan Su, Yao Ma

“…The complex frequency shifted (CFS) perfectly matched layer (PML) is proposed for the two-dimensional auxiliary differential equation (ADE) finite-difference time-domain (FDTD) method combined with Associated Hermite (AH) orthogonal functions. …”
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An Interpretable Weather Forecasting Model With Separately‐Learned Dynamics and Physics Neural Networks by Mengxuan Chen, Jinxiao Zhang, Runmin Dong, Yidan Xu, Haoyuan Liang, Juepeng Zheng, Lanning Wang, Haohuan Fu

“…Abstract Machine learning (ML) offers a promising alternative for weather forecasting by reducing computational costs and modeling complex non‐linear atmospheric processes. While recent foundation models highlight this potential with advanced architectures, interpreting the “black‐box” nature of ML models remains challenging. …”
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The SELFNET Approach for Autonomic Management in an NFV/SDN Networking Paradigm by Pedro Neves, Rui Calé, Mário Rui Costa, Carlos Parada, Bruno Parreira, Jose Alcaraz-Calero, Qi Wang, James Nightingale, Enrique Chirivella-Perez, Wei Jiang, Hans Dieter Schotten, Konstantinos Koutsopoulos, Anastasius Gavras, Maria João Barros

“…In the paper, the reference architecture of SELFNET, which is divided into Infrastructure Layer, Virtualized Network Layer, SON Control Layer, SON Autonomic Layer, NFV Orchestration and Management Layer, and Access Layer, will be presented.…”
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HYDROCHEMICAL STUDIES OF THE PARTIZANSKAYA RIVER ESTUARY (NAKHODKA BAY, JAPAN SEA) IN SUMMER SEASON OF LOW WATER DISCHARGE by P. Yu. Semkin, P. A. Tishchenko, T. A. Mikhailik, Yu. A. Barabanshchikov, G. Yu. Pavlova, S. G. Sagalaev, P. P. Tishchenko, M. G. Shvetsova, E. M. Shkirnikova

“…By dynamical signs, the estuary could be divided into two zones: i) zone of active exchange between the surface freshwater layer and the bottom salted layer on the distance 5.5 km from the river mouth to the first sandy riverbank that the fresh river water passed in 12 hours, and ii) the upper part of the estuary with limited water exchange. …”
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Terahertz nanospectroscopy of plasmon polaritons for the evaluation of doping in quantum devices by Guo Xiao, He Xin, Degnan Zachary, Chiu Chun-Ching, Donose Bogdan C., Bertling Karl, Fedorov Arkady, Rakić Aleksandar D., Jacobson Peter

“…The presence of the THz surface plasmon polariton indicates the existence of a thin film doped layer on the device. Using a multilayer extraction procedure utilising vector calibration, we quantitatively probe the doped surface layer and determine its thickness and complex permittivity. …”
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Copper deposit development potential on the Qinghai-Xizang Plateau in China based on the pressure-state-response framework by Chonghao Liu, Jinshan Xu, Jianan Zhao, Jian Dong, Xiangying Jia, Jing Liu, Xiu Wang

“…Abstract The Qinghai-Xizang Plateau (QXP) in China is a geological treasure trove known for its complex structures and rich mineral resources. Among these, copper stands out as a critical metal for economic development. …”
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Enhancing disaster prediction with Bayesian deep learning: a robust approach for uncertainty estimation by Hao Peng, Sen Shen, Haichao Zhang, Fei Wang, Fawang Guo, Ruige Zhang

“…These advancements highlight the potential of BDNNs to significantly enhance disaster preparedness and support more informed emergency response decisions in complex, uncertain environments.…”
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Investigating the Effects of Atmospheric Stratification on Coronal Active Region Field Modeling by Oliver Rice, Christopher Prior

“…Understanding the evolution of the complex magnetic fields found in solar active regions is an active area of research. …”
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Radiation-induced degradation effects of optical properties of MgO ceramics caused by heavy ion irradiation by Maxim V. Zdorovets, Artem A. Kozlovskiy, Gulnaz ZhMoldabayeva, Igor A. Ivanov, Marina Konuhova

“…At the same time, the observed change in the crystal structure volume is due to the formation of complex defects of the Mg + VO type, the formation of which results in deformation broadening of the crystal lattice parameters.…”
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Three-Dimensional Temperature Field Reconstruction Based on Tucker Decomposition and Acoustic Thermometry by Jidong Yan, Liansuo An, Pengbo Yao, Guoqing Shen, Shiping Zhang

“…While acoustic temperature measurement is an efficient and stable method, its practical application is limited to two-dimensional (2D) temperature fields, leading to poor reconstruction of complex 3D temperature fields due to limited measurement points. …”
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Reconstruction of full-thickness chick defects formed after tumor removal using a modified technique for submental flap dissection by Ch. R. Rahimov, A. A. Akhundov, I. М. Farzaliev, M. Ch. Rahimli, Sh. E. Kuliev, D. A. Safarov

“…Reconstruction of vast penetrating defects after radical resection of advanced tumors of the head and neck is a complex problem of reconstructive oral and maxillofacial surgery. …”
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Sound‐Based Assembly of Magnetically Actuated Soft Robots Toward Enhanced Release of Extracellular Vesicles by Wei Gao, Riccardo Tognato, Micaela Natta, Elena Della Bella, Alessandro Cianciosi, Tiziano Serra

“…Despite the various innovative strategies proposed for their fabrication, they suffer from complex processes and limited cellular compatibility. …”
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Prediction of marl reservoir distribution based on facies-constrained reflectivity inversion method by Hao Zhang, Li Chen, Hua Zhu, Yongguang Xin, Yongxiao Wang, Xiaowei Sun

“…Accurate characterization of carbonate reservoirs remains a significant challenge due to complex facies variations and the substantial effects of wave propagation. …”
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Real-Time Runway Detection Using Dual-Modal Fusion of Visible and Infrared Data by Lichun Yang, Jianghao Wu, Hongguang Li, Chunlei Liu, Shize Wei

“…To enable real-time processing, we design a lightweight dual-modal fusion network (DCFNet) with an independent–shared encoder and a cross-layer attention mechanism to enhance feature extraction and fusion. …”
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Adaptive Res-LSTM Attention-based Remaining Useful Lifetime Prognosis of Rolling Bearings by Boubker Najdi, Mohammed Benbrahim, Mohammed Nabil Kabbaj

“…Experimental results show that this integrated approach effectively captures the complex degradation patterns of bearings, making it a valuable tool for prognostics and health management in industrial applications.…”
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