Two distinct neural pathways for mechanical versus digital technology by Giovanni Federico, Mathieu Lesourd, Arnaud Fournel, Alexandre Bluet, Chloé Bryche, Maximilien Metaireau, Dario Baldi, Maria Antonella Brandimonte, Andrea Soricelli, Yves Rossetti, François Osiurak

“…Here we examine the cognitive and neural foundations of technological cognition. In the first fMRI experiment, participants viewed videos depicting the use of mechanical tools (e.g., a screwdriver) and digital tools (e.g., a smartphone) compared to simple object movements. …”
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Some considerations on the “new normal” postcovid-19 medical care by Roberto Álvarez Sintes

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Training Neural Networks with a Procedure Guided by BNF Grammars by Ioannis G. Tsoulos , Vasileios Charilogis

Subjects: “…neural networks…”
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Gradient Amplification: An Efficient Way to Train Deep Neural Networks by Sunitha Basodi, Chunyan Ji, Haiping Zhang, Yi Pan

“…Improving performance of deep learning models and reducing their training times are ongoing challenges in deep neural networks. There are several approaches proposed to address these challenges, one of which is to increase the depth of the neural networks. …”
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Fungal infections in the era of COVID-19: Time to awaken to the Titanic by Nidhi Singla, Yashik Bansal

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Pests and Fungal Organisms Identified on Olives (Olea europaea) in Florida by Jennifer L. Gillett-Kaufman, Sandra A. Allan, Jonael H. Bosques-Mendez, Lyle J. Buss

“…ENY-871/IN1046: Pests and Fungal Organisms Identified on Olives (Olea europaea) in Florida (ufl.edu) …”
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Ship Pipe Layout Based on Grid Normalized Astar Algorithm by LIN Yan, ZHANG Qiaoyu, LOU Jiandi

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Layer ensemble averaging for fault tolerance in memristive neural networks by Osama Yousuf, Brian D. Hoskins, Karthick Ramu, Mitchell Fream, William A. Borders, Advait Madhavan, Matthew W. Daniels, Andrew Dienstfrey, Jabez J. McClelland, Martin Lueker-Boden, Gina C. Adam

“…Abstract Artificial neural networks have advanced due to scaling dimensions, but conventional computing struggles with inefficiencies due to memory bottlenecks. …”
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Burial customs and the pollution of death in ancient Rome: procedures and paradoxes by Francois P. Retief, Louise Cilliers

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Diastematomyelia: A Case with Familial Aggregation of Neural Tube Defects by Nuray Öksüz Kanbur, Pınar Güner, Orhan Derman, Nejat Akalan, Ayşenur Cila, Tezer Kutluk

“…Intrauterine neural tube defects, meningomyelocele, and diastematomyelia are developmental errors at different stages of the closure of the neural tube. …”
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Code vulnerability detection method based on graph neural network by Hao CHEN, Ping YI

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Image generation classification method based on convolution neural network by Qiao-ling LI, Qing-xiao GUAN, Xian-feng ZHAO

Subjects: “…convolution neural network…”
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Characterization Theorems for Generalized Functionals of Discrete-Time Normal Martingale by Caishi Wang, Jinshu Chen

“…We aim at characterizing generalized functionals of discrete-time normal martingales. Let M=(Mn)n∈N be a discrete-time normal martingale that has the chaotic representation property. …”
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Robust Semiparametric Optimal Testing Procedure for Multiple Normal Means by Peng Liu, Chong Wang

“…Some of these methods can be shown to achieve the optimal average power across genes, but only under a normal assumption of alternative means. However, the assumption of a normal distribution is likely violated in practice. …”
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Automated Detection of Microseismic Arrival Based on Convolutional Neural Networks by Weijian Liu, Haoyuan Chang, Yang Xiao, Shuisheng Yu, Chuanbo Huang, Yuntian Yao

“…A U-net model to detect the arrival time of seismic waves is constructed based on the convolutional neural network (CNN) theory. The original data for 1555 segments and synthetic data of 7764 segments were detected using Akaike’s information criterion (AIC) algorithm, the time window energy eigenvalue algorithm, and the U-net model. …”
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Model Error Correction in Data Assimilation by Integrating Neural Networks by Jiangcheng Zhu, Shuang Hu, Rossella Arcucci, Chao Xu, Jihong Zhu, Yi-ke Guo

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EXCHANGE RATE DETERMINATION BY ARTIFICIAL NEURAL NETWORKS: TURKISH CASE by Ayça Sarıalioğlu Hayali, Hasan Babacan

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Neural network based classification of rock properties and seismic vulnerability by U. Muksin, E. Riana, A. Rudiyanto, K. Bauer, A.V.H. Simanjuntak, M. Weber

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MEFET-Based CAM/TCAM for Memory-Augmented Neural Networks by Sai Sanjeet, Jonathan Bird, Bibhu Datta Sahoo

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Neural Linguistic Steganalysis via Multi-Head Self-Attention by Sai-Mei Jiao, Hai-feng Wang, Kun Zhang, Ya-qi Hu

“…In this paper, we introduced a neural linguistic steganalysis approach based on multi-head self-attention. …”
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