Critical raw material-free multi-principal alloy design for a net-zero future by Swati Singh, Mingwen Bai, Allan Matthews, Saurav Goel, Shrikrishna N. Joshi

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STFCropNet: A Spatiotemporal Fusion Network for Crop Classification in Multiresolution Remote Sensing Images by Wei Wu, Yapeng Liu, Kun Li, Haiping Yang, Liao Yang, Zuohui Chen

“…We evaluate STFCropNet in two study areas of China with diverse topographic features. …”
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Computational evaluation of micropores wetting effect on the removal process of CO2 through the membrane contactor by Abdulrahman Sumayli, Zakarya Ahmed, Vicky Jain, R. Roopashree, Anjan Kumar, Aditya Kashyap, Mukesh Kumari, Sofia Gupta, G. V. Siva Prasad, Munthar Kadhim Abosaoda

“…To fulfill this purpose, a mathematical model based on finite element procedure (FEP) has been employed to solve the momentum and mass transport equations in the partial-wetting (50% wetting of micropores) and non-wetting (0% wetting of micropores) modes of membrane during operation. …”
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Geographic Socioeconomic Influences on Disease Activity in Rheumatoid Arthritis in an Academic and Safety Net Hospital System by Joseph Kim, Song Zhang, Ang Gao, Donglu Xie, Salahuddin Kazi, David R. Karp, Christie M. Bartels, E. Blair Solow

“…In the safety net cohort, there was a statistically significant difference only in smoking status (P < 0.05). …”
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Forecast Global Ionospheric TEC: Apply Modified U‐Net on VISTA TEC Data Set by Zihan Wang, Shasha Zou, Hu Sun, Yang Chen

“…The output is the global TEC map several hours or several days ahead. The modified U‐Net was trained and validated on a brand new TEC database, the VISTA (Video Imputation with SoftImpute, Temporal smoothing and Auxiliary data) TEC database. …”
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The effect of variable light intensity in luminescent-netting pots on the catch of snow crab (Chionoecetes opilio) by Colin C.H. Frank, Shannon M. Bayse

“…However, some light characteristics necessary for maximizing efficiency have yet to be researched. The purpose of this study was to determine if there is a change in catch per unit effort (CPUE; number of snow crab per pot) and size selectivity of snow crab with varying light intensity. …”
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EfficientNet-b0-Based 3D Quantification Algorithm for Rectangular Defects in Pipelines by Di Wu, Yong Hong, Jie Wang, Shaojun Wu, Zhihao Zhang, Yizhang Liu

“…This research introduces EffiTriDimNet (ETDN), a multi-task convolutional neural network that combines one-dimensional pipeline defect leakage detection data into a unified feature map while simultaneously measuring the three-dimensional characteristics of the defects. …”
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Australian Carabid Beetles V. Transition of Wet Forest Faunas From New Guinea to Tasmania by P. J. Darlington

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Enhancing early lung cancer detection with MobileNet: A comprehensive transfer learning approach by Raquel Ochoa-Ornelas, Alberto Gudiño-Ochoa, Julio Alberto García-Rodríguez, Sofia Uribe-Toscano

Subjects: “…MobileNet…”
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Wetting and interfacial reactions: Experimental study of the Sb-Sn-X (X = Cu, Ni) systems by Novaković R.M., Delsante S., Borzone G.

Subjects: “…Wetting experiments…”
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ASPM Promotes the Progression of Anaplastic Thyroid Carcinomas by Regulating the Wnt/β-Catenin Signaling Pathway by Liang Jiang, Shuai Zhang, Ning An, Guoqing Chai, Changhong Ye

“…Upregulation of ASPM promotes the malignant properties of ATC cells and contributes to tumorigenesis through the Wnt/β-catenin signaling pathway.…”
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The analysis of the effect of piston speed on the operation of a refrigeration compressor operating in the area of wet steam by D. Kh. Sadvakasov, G. I. Chernov, V. S. Evdokimov, N. A. Raykovskiy

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FBI-Net: Frequency-Based Image Forgery Localization via Multitask Learning With Self-Attention by A-Rom Gu, Ju-Hyeon Nam, Sang-Chul Lee

“…Image forgery is easily manufactured for illegal acts such as spreading misleading information, which can have unfortunate consequences for society. In this work, we propose a Discrete Cosine Transformation (DCT) based multi-task learning network named FBI-Net, for forgery localization. …”
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Classification of palm oil fruit ripeness based on AlexNet deep Convolutional Neural Network by Rudi Kurniawan, Samsuryadi Samsuryadi, Fatma Susilawati Mohamad, Harma Oktafia Lingga Wijaya, Budi Santoso

“…Deep Learning, particularly the AlexNet architecture, has succeeded in image classification tasks and offers a promising solution. …”
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Improved insulator location and defect detection method based on GhostNet and YOLOv5s networks by Jianjun Huang, Xuhong Huang, Ronghao Kang, Zhihong Chen, Junhan Peng

“…The proposed method not only ensures the precision of insulator defect detection, but also greatly decreases the complexity of the model. Therefore, the GhostNet-YOLOv5s algorithm can meet the requirements of real-time detection in complex outdoor environments.…”
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PIPENN-EMB ensemble net and protein embeddings generalise protein interface prediction beyond homology by David P. G. Thomas, Carlos M. Garcia Fernandez, Reza Haydarlou, K. Anton Feenstra

“…Our results show substantial improvement over the previously published PIPENN model for protein interaction interface prediction, reaching an MCC of 0.313 vs. 0.249, and AUROC 0.800 vs. 0.755 on the BIO_DL_TE test set. We furthermore show that these embeddings cover a broad range of ‘hand-crafted’ protein features in ablation studies. …”
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The effect of surface texturing in the sliding surface on tribological characteristics of alloy steel under wet condition by H. S. Patil, D. C. Patel

“…In this research work, friction and wear behaviors of surface textured EN-31 alloy steel have been investigated under wet condition by using DUCOM linear reciprocating tribometer. …”
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Equilibrium Signal and Purchase Decision in China’s IPO Net Roadshow: A Dynamic Game Approach by Yi Zhao, Dong Li

“…The net roadshow has been dominant in China’s IPO (initial public offerings) roadshow structure. …”
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Rolling bearing fault diagnosis based on parameter optimized VMD and improved GoogLeNet by LI Haoran, LIU Deping

“…A rolling bearing fault diagnosis method based on parameter-optimized variational mode decomposition (VMD) noise reduction and GoogLeNet network with improved attention mechanism was proposed.MethodsThe local minimal envelope entropy was used as the fitness function, and the sparrow search algorithm (SSA) was used to optimize the VMD parameter combination; the optimized VMD algorithm was used to decompose the bearing vibration signals to obtain several modal components, and the signals were reconstructed by filtering the modal components with rich fault features according to the envelope entropy and kurtosis; the reconstructed signals were used to construct the feature matrix and input into the improved GoogLeNet network to complete the diagnosis.ResultsThe test results show that the diagnostic accuracy of the method is 95.5% to 99.8% under different noise backgrounds, which is better than other methods in terms of noise robustness.…”
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WCMU-net: An Effective Method for Reducing the Impact of Speckle Noise in SAR Image Change Detection by Yu Duan, Kaimin Sun, Wangbin Li, Jinjiang Wei, Song Gao, Yingjiao Tan, Wanghui Zhou, Jun Liu, Junyi Liu

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