Neural Networks Application for the Data of PID Controller for Acrobot by Nguyen Cong Danh

“…Control an Acrobot system, including Neural Network Application for the data of the PID controller (closed form). …”
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Clostridium perfringens Bacteraemia following Normal Vaginal Delivery by Mokhamad Zhaffal, Anastasia Salame, Johnny Awwad

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Neural Pathways Conveying Novisual Information to the Visual Cortex by Wen Qin, Chunshui Yu

“…Neural Plasticity…”
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Osteoporosis in Rett Syndrome: A Study on Normal Values by Lilit Zysman, Meir Lotan, Bruria Ben-Zeev

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Chrysosporium: A rare cause of allergic fungal rhinosinusitis by Juhi Shrivastava, Kinal Shah, Navin Shah

“…Allergic fungal rhinosinusitis (AFRS) forms a significant group of patients presenting with the commonest health problem encountered in rhinology. …”
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Continuous Glucose Monitoring in Women with Normal OGTT in Pregnancy by Linda Tartaglione, Enrico di Stasio, Angelo Sirico, Mauro Di Leo, Salvatore Caputo, Alessandro Rizzi, Agnese Caneschi, Sara De Carolis, Dario Pitocco, Antonio Lanzone

“…An increase in gestational weight gain was observed in normal women with normal OGTT but this was not significant. …”
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Neural quantum propagators for driven-dissipative quantum dynamics by Jiaji Zhang, Carlos L. Benavides-Riveros, Lipeng Chen

“…In this work, we develop driven neural quantum propagators (NQP), a universal neural network framework that solves driven-dissipative quantum dynamics by approximating propagators rather than wave functions or density matrices. …”
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On the Prediction of the Sideslip Angle Using Dynamic Neural Networks by Raffaele Marotta, Salvatore Strano, Mario Terzo, Ciro Tordela

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La idea federal en Pi y Margall by Antonio Rivera García

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A Method for Detecting Fungal Contamination in Paperboard Cartons by J. A. Narciso, M. E. Parish

“…The method presently used by the food industry to assess the amount of fungal contamination in the paperboard carton material is cumbersome and inefficient (1). …”
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Foliar Fungal Disease Management For Commercial Citrus Groves by Megan M. Dewdney, Jamie D. Burrow

“… This document is a two-page illustrated identification sheet for commercial management of citrus foliar fungal diseases. It is a minor revision written by Megan M. …”
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Methods for Constructing Artificial Neural Networks for Data Classification by L. V. Serebryanaya

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Multilayer magnetic skyrmion devices for spiking neural networks by Aijaz H Lone, Daniel N Rahimi, Hossein Fariborzi, Gianluca Setti

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Ion Channel Activities in Neural Stem Cells of the Neuroepithelium by Masayuki Yamashita

“…During the embryonic development of the central nervous system, neuroepithelial cells act as neural stem cells. They undergo interkinetic nuclear movements along their apico-basal axis during the cell cycle. …”
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Normality of the p-Harmonic and Log-p-Harmonic Mappings by Qinghua Jiang, Fanning Meng, Guoqiang Dang

“…In this paper, the concepts of p-harmonic mappings and log-p-harmonic mappings in the unit disk have been introduced and studied by many researchers. We proved the normality of the p-harmonic mappings and log-p-harmonic mappings, which extend the related results of harmonic mappings of earlier authors.…”
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GTAT: empowering graph neural networks with cross attention by Jiahao Shen, Qura Tul Ain, Yaohua Liu, Banqing Liang, Xiaoli Qiang, Zheng Kou

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Mimicking Neural Stem Cell Niche by Biocompatible Substrates by Citlalli Regalado-Santiago, Enrique Juárez-Aguilar, Juan David Olivares-Hernández, Elisa Tamariz

“…Neural stem cells (NSCs) participate in the maintenance, repair, and regeneration of the central nervous system. …”
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Foliar Fungal Disease Management For Commercial Citrus Groves by Megan M. Dewdney, Jamie D. Burrow

“… This document is a two-page illustrated identification sheet for commercial management of citrus foliar fungal diseases. It is a minor revision written by Megan M. …”
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Normal Families and Growth of Meromorphic Functions with Their Kth Derivatives by Jianming Qi, Fanning Meng, Wenjun Yuan

“…Relying on the normal family theory, we mainly study uniqueness problems of meromorphic functions and their kth derivatives and estimate sharply the growth order of their meromorphic functions. …”
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Machine learning Hubbard parameters with equivariant neural networks by Martin Uhrin, Austin Zadoks, Luca Binci, Nicola Marzari, Iurii Timrov

“…Here, we present a machine learning model based on equivariant neural networks which uses atomic occupation matrices as descriptors, directly capturing the electronic structure, local chemical environment, and oxidation states of the system at hand. …”
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