Neural markers of error processing relate to task performance, but not to substance-related risks and problems and externalizing problems in adolescence and emerging adulthood by Olga D. Boer, Thea Wiker, Shervin H. Bukhari, Rikka Kjelkenes, Clara M.F. Timpe, Irene Voldsbekk, Knut Skaug, Rune Boen, Valerie Karl, Torgeir Moberget, Lars T. Westlye, Ingmar H.A. Franken, Hanan El Marroun, Rene J. Huster, Christian K. Tamnes

“…Previous studies have linked neural correlates of error processing (e.g., error-related negativity (ERN) and error-related positivity (Pe)) to task performance and broader behavioral constructs, but few studies examined how these associations manifest in adolescence. …”
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Comparison of Two Classifiers; K-Nearest Neighbor and Artificial Neural Network, for Fault Diagnosis on a Main Engine Journal-Bearing by A. Moosavian, H. Ahmadi, A. Tabatabaeefar, M. Khazaee

“…This paper surveys a new scheme for fault diagnosis of main journal-bearings of internal combustion (IC) engine based on power spectral density (PSD) technique and two classifiers, namely, K-nearest neighbor (KNN) and artificial neural network (ANN). Vibration signals for three different conditions of journal-bearing; normal, with oil starvation condition and extreme wear fault were acquired from an IC engine. …”
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Apresentação do dossiê O digital, o tradicional, o novo normal? Espaços, políticas e agentes de leitura by Paula Sequeiros, Nuno Medeiros

“…Apresentação do dossiê O digital, o tradicional, o novo normal? Espaços, políticas e agentes de leitura…”
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Compressive Strength Prediction of Alkali-Activated Slag Concretes by Using Artificial Neural Network (ANN) and Alternating Conditional Expectation (ACE) by Xiaoyu Qin, Qianmin Ma, Rongxin Guo, Zhigang Song, Zhiwei Lin, Haoxue Zhou

“…Compressive strength of alkali-activated slag (AAS) concrete is influenced by multi-factors in a nonlinear way. Both artificial neural network (ANN) and alternating conditional expectation (ACE) models of 3-day (3 d) and 28-day (28 d) compressive strength of AAS were established in this study by using the data reported in related literature, where alkali concentration of activator (Na2O%), modulus of activator (Ms), water/binder ratio (W/B), surface area of slag (SA), and basicity index of slag (Kb) were taken as input parameters. …”
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Immunophenotypic Characterization of Human Bone Marrow Mast Cells. A Flow Cytometric Study of Normal and Pathological Bone Marrow Samples by Luis Escribano, Alberto Orfao, Jesús Villarrubia, Beatriz Díaz-Agustín, Carlos Cerveró, Agustín Rios, José L. Velasco, Juana Ciudad, José L. Navarro, Jesús F. San Miguel

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Optimal Multi-Physics Synthesis of a Dual-Frequency Power Inductor Using Deep Neural Networks and Gaussian Process Regression by Paolo Di Barba, Arash Ghafoorinejad, Maria Evelina Mognaschi, Fabrizio Dughiero, Michele Forzan, Elisabetta Sieni

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Novel Constrained Dual Mobility Hip Prosthesis to Combat Instability in Revision Total Hip Arthroplasty whilst Preserving Normal Function by Michael Jiang, Anton Lambers, Rodney Richardson

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Platelet-Rich Gel Supernatants Stimulate the Release of Anti-Inflammatory Proteins on Culture Media of Normal Equine Synovial Membrane Explants by Diana L. Ríos, Catalina López, Jorge U. Carmona

“…The aims were as follows: (1) to evaluate the effects at 48 and 96 h of two concentrations (25 and 50%) of leukocyte and platelet-rich gel (L-PRG) and pure PRG (P-PRG) supernatants on the production/degradation in normal equine synovial membrane explants (SME) of platelet derived growth factor isoform BB, transforming growth factor beta-1, tumor necrosis factor alpha, interleukin (IL-) 4 (IL-4), IL-1 receptor antagonist (IL-1ra), and hyaluronan (HA) synthesis and (2) to correlate these molecules with their respective PRG supernatant treatments. …”
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The Use of Digital Microscopy to Compare the Thicknesses of Normal Corneas and Ex Vivo Rejected Corneal Grafts with a Focus on the Descemet’s Membrane by Taíse Tognon, Sabrina Bergeron, Christina Mastromonaco, Kleyton Barella, Adriano Pasqualotti, Laura Nunez, Francisco Murta, Luciene Barbosa de Sousa, Mauro Campos, Miguel Noel Nascentes Burnier

“…Histopathological sections of 25 normal human corneas and 40 FGRs were fully digitalized and examined. …”
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Target Speaker Extraction under Noisy Underdetermined Conditions Using Conditional Variational Autoencoder, Global Style Token, and Neural Postfilter by Rui Wang, Takuya Fujimura, Tomoki Toda

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A GA-Based BP Artificial Neural Network for Estimating Monthly Surface Air Temperature of the Antarctic during 1960–2019 by Miao Fang

“…This study proposed a backpropagation artificial neural network (BPANN) optimized by a genetic algorithm (GA) to estimate the monthly SAT fields of the Antarctic continent for the period 1960–2019. …”
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Transcranial vibration stimulation at 40 Hz induced neural activity and promoted the coupling of global brain activity and cerebrospinal fluid flow by Linghan Kong, Wei Jin, Yue Jiang, Fuhua Yan, Jun Liu, Eric C. Leuthardt, Guang-Zhong Yang, Yuan Feng

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Effects of Simultaneously Performed Dual-Task Training with Aerobic Exercise and Working Memory Training on Cognitive Functions and Neural Systems in the Elderly by Hikaru Takeuchi, Daniele Magistro, Yuka Kotozaki, Kosuke Motoki, Keyvan Kashkouli Nejad, Rui Nouchi, Hyeonjeong Jeong, Chiho Sato, Salvatore Sessa, Ryoichi Nagatomi, Massimiliano Zecca, Atsuo Takanishi, Ryuta Kawashima

“…Neural Plasticity…”
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Detecting Distance between Surfaces of Large Transparent Material Based on Low-Cost TOF Sensor and Deep Convolutional Neural Network by Rong Zou, Yu Zhang, Junlan Gu, Jin Chen

“…In this paper, a method based on low-cost TOF continuous-wave modulation and deep convolutional neural network technology is proposed. The distance detection between transparent material surfaces is converted to the problem of solving the intersection of the optical path and the transparent material’s front and rear surfaces. …”
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The role of the hippocampus in working memory and word reading: Novel neural correlates of reading among youth living in the context of economic disadvantage by ET. Marcelle, H. Yang, JW. Cohen, B. Ramphal, D. Pagliaccio, V. Rauh, BS. Peterson, F. Perera, H. Andrews, AG. Rundle, J. Herbstman, AE. Margolis

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Pengaruh Pemberian Diet Tinggi Minyak Sawit terhadap Kadar Serum Glutamic Pyruvic Transaminase Darah Tikus Wistar Normal by Yenny Mayang Sari, Susila Sastri, Yustini Alioes

“…Jurnal Kesehatan Andalas…”
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Bamboo/Wood Composites and Structures Shear and Normal Strain Distributions in Multilayer Composite Laminated Panels under Out-of-Plane Bending by Jan Niederwestberg, Jianhui Zhou, Ying Hei Chui, Dongsheng Huang

“…During the tests, the digital imaging correlation (DIC) technique was used to measure the normal and shear strain in areas of interest. Evaluated component properties were used to determine strain distributions based on the shear analogy method and finite element (FE) modelling. …”
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Normal butanol fraction of Polygonum hydropiper L. flavonoids reduces inflammation caused by PCV2 infections in cell and mouse models by Yu-heng Wei, Shu-mian Zhou, Shu-mian Zhou, Shu-mian Zhou, Wen Zhao, Qi Chen, Qiu-hua Wang, Qiu-hua Wang, Mei-ling Yu, Ying-yi Wei, Ting-jun Hu, Ting-jun Hu, Ting-jun Hu

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The artificial intelligence-based agricultural field irrigation warning system using GA-BP neural network under smart agriculture. by Xiying Wang

“…This work explores an intelligent field irrigation warning system based on the Enhanced Genetic Algorithm-Backpropagation Neural Network (EGA-BPNN) model in the context of smart agriculture. …”
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Dual FOPID-neural network controller based on fast grey wolf optimizer: application to two-inputs two-outputs helicopter by Amar Rezoug, Jamshed Iqbal, Abdelkrim Nemra

“…This research introduces a novel dual Fast Grey Wolf Optimizer (FGWO) combined with Radial Basis Function Neural Networks (RBFNN) for a Fractional-Order PID (FOPID) controller applied to a helicopter simulator. …”
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