Neural networks for illustration generation: towards the issue of adaptation practices by Olga S. Mukhina, Vladimir F. Oleshko

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Interleukin-1 Receptors Are Differentially Expressed in Normal and Psoriatic T Cells by Attila Bebes, Ferenc Kovács-Sólyom, Judit Prihoda, Róbert Kui, Lajos Kemény, Rolland Gyulai

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Attention aware edge-node exchange graph neural network by Ruiqin WANG, Yimin HUANG, Qishun JI, Chaoyi WAN, Zhifeng ZHOU

Subjects: “…graph neural network…”
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Clinically interpretable multiclass neural network for discriminating cardiac diseases by Agnese Sbrollini, Chiara Leoni, Micaela Morettini, Cees A. Swenne, Laura Burattini

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Delayed Calcium Normalization after Successful Parathyroidectomy in Primary Hyperparathyroidism by Iván Emilio de la Cruz Rodríguez, Elsy Sarahí García Montesinos, María Fernanda Rodríguez-Delgado, Guadalupe Vargas Ortega, Lourdes Balcázar Hernández, Victoria Mendoza Zubieta, Victor Hernández Avendaño, Baldomero González Virla

“…We present a case report of delayed calcium normalization after successful parathyroidectomy in a 38-year-old patient with PHPT. …”
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Power Control Algorithm Based on Normalized Utility Function Research by Xiang Yu, Xiaoyin Zhang, Lei Liu

“…Combining with the characteristics of cognitive radio, a new type S utility function was put forwarded, the normalized form was applied, and the existence and uniqueness of the Nash equilibrium were proved. …”
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Language-specific neural dynamics extend syntax into the time domain. by Cas W Coopmans, Helen de Hoop, Filiz Tezcan, Peter Hagoort, Andrea E Martin

“…Using temporal response function models with both acoustic and information-theoretic control predictors, node counts were regressed against source-reconstructed delta-band activity acquired with magnetoencephalography. Neural dynamics in left frontal and temporal regions most strongly reflect node counts derived by the top-down method, which postulates syntax early in time, suggesting that predictive structure building is an important component of Dutch sentence comprehension. …”
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Knowledge‐Informed Deep Neural Networks for Solar Flare Forecasting by Ming Li, Yanmei Cui, Bingxian Luo, Xianzhi Ao, Siqing Liu, Jingjing Wang, Shuxin Li, Chenxi Du, Xiaojing Sun, Xin Wang

“…By integrating prior knowledge in flare production into the convolutional neural network (CNN) structures, we have developed a knowledge‐informed deep neural network model aiming at forecasting solar flares. …”
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Retracted: Computer Medical Image Segmentation Based on Neural Network by Xiaopeng Wang, Lei Gu, Zhongyi Wang

“…The nonlinear quantified cellular neural network proposed in this article can reduce LUT resource consumption by 74% and energy of 48.2%. …”
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Absence of Rybp Compromises Neural Differentiation of Embryonic Stem Cells by Gergo Kovacs, Viktoria Szabo, Melinda K. Pirity

“…We have previously described that alteration of Rybp dosage in mouse models induced striking neural tube defects (NTDs), exencephaly, and disorganized neurocortex. …”
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Projective Synchronization of Nonidentical Fractional-Order Memristive Neural Networks by Chong Chen, Zhixia Ding

“…This paper investigates projective synchronization of nonidentical fractional-order memristive neural networks (NFMNN) via sliding mode controller. …”
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The history, fungal biodiversity, conservation, and future perspectives for mycology in Egypt by A.M. Abdel-Azeem

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Water quality assessment for aquaculture using deep neural network by Rajeshwarrao Arabelli, T. Bernatin, Venkataramana Veeramsetty

Subjects: “…Deep neural networks…”
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Efficient Neural Network Modeling for Flight and Space Dynamics Simulation by Ayman Hamdy Kassem

“…This paper represents an efficient technique for neural network modeling of flight and space dynamics simulation. …”
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Solar Energy Prediction for Malaysia Using Artificial Neural Networks by Tamer Khatib, Azah Mohamed, K. Sopian, M. Mahmoud

“…This paper presents a solar energy prediction method using artificial neural networks (ANNs). An ANN predicts a clearness index that is used to calculate global and diffuse solar irradiations. …”
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Determination of System Dimensionality from Observing Near-Normal Distributions by Shahid Razzaq, Shehzad Khalid

“…Such models give near normal distributions for each of its dimensions. Converse of this may also be true; that is, for a normal-like distribution of an observed variable, it is possible that the distribution is a result of uniform distribution of data points in a high dimensional ellipsoidal model, to which the observed variable belongs. …”
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Deep Neural Network Model Forecasting for Financial and Economic Market by Fan Chen

“…In view of the Internet financial market dynamic (volume and daily trading), it is proposed based on a deep neural network for fusion level time series prediction model. …”
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Exploiting Neural-Network Statistics for Low-Power DNN Inference by Lennart Bamberg, Ardalan Najafi, Alberto Garcia-Ortiz

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Wnt5a Signaling in Normal and Cancer Stem Cells by Yan Zhou, Thomas J. Kipps, Suping Zhang

“…Wnt5a signaling is critical for regulating normal developmental processes, including stem cell self-renewal, proliferation, differentiation, migration, adhesion, and polarity. …”
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Ethical Implications in the Use of Embryonic and Adult Neural Stem Cells by Rodrigo Ramos-Zúñiga, Oscar González-Pérez, Ana Macías-Ornelas, Vivian Capilla-González, Alfredo Quiñones-Hinojosa

“…We have just started to get a glimpse of the structural and functional role of neural stem cells in differentiation and migration processes, the origin of synaptic networks, and subsequent readjustments in specific circuits. …”
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