Showing 2,001 - 2,020 results of 26,283 for search 'Nurgal~', query time: 4.04s Refine Results
  1. 2001

    Flexural behavior of high-strength reinforced concrete beam with hybrid fiber under normal and high temperature by Ahmed Ashteyat, Ala Obaidat, Tarik Kharabsheh, Ahmed Harahsheh

    Published 2024-09-01
    “…Flexural results show that beams employing a mix of 2% BF and 1% SF yielded the most favorable result at normal temperature, enhancing the capacity by 27% compared to the control. …”
    Article
  2. 2002
  3. 2003

    Development Assessment of Higher Education System Based on TOPSIS-Entropy, Hopfield Neural Network, and Cobweb Model by Xian-Bei Liu, Yu-Jing Zhang, Wen-Kai Cui, Li-Ting Wang, Jia-Ming Zhu

    Published 2021-01-01
    “…According to the level of the score, we divide the development status into 5 categories, and use discrete Hopfield neural network for verification. In addition, we applied the model to many countries and chose Vietnam to conduct an in-depth analysis of the model, including reforming policies and evaluating policy effects based on cobweb model. …”
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    Article
  4. 2004

    Omega-3 Polyunsaturated Fatty Acids Enhance Neuronal Differentiation in Cultured Rat Neural Stem Cells by Masanori Katakura, Michio Hashimoto, Toshiyuki Okui, Hossain Md Shahdat, Kentaro Matsuzaki, Osamu Shido

    Published 2013-01-01
    “…We recently reported that docosahexaenoic acid (DHA) induced neuronal differentiation by decreasing Hes1 expression and increasing p27kip1 expression, which causes cell cycle arrest in neural stem cells (NSCs). In the present study, we examined the effect of eicosapentaenoic acid (EPA) and arachidonic acid (AA) on differentiation, expression of basic helix-loop-helix transcription factors (Hes1, Hes6, and NeuroD), and the cell cycle of cultured NSCs. …”
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    Article
  5. 2005
  6. 2006
  7. 2007

    Parkinsonian Symptomatology May Correlate with CT Findings before and after Shunting in Idiopathic Normal Pressure Hydrocephalus by Mitsuaki Ishii, Toshio Kawamata, Ichiro Akiguchi, Hideo Yagi, Yuko Watanabe, Toshiyuki Watanabe, Hideaki Mashimo

    Published 2010-01-01
    “…We aimed to investigate the characteristics of Parkinsonian features assessed by the unified Parkinson's disease rating scale (UPDRS) and determine their correlations with the computed tomography (CT) findings in patients with idiopathic normal pressure hydrocephalus (iNPH). The total score and the scores for arising from chair, gait, postural stability, and body hypokinesia in the motor examination section of UPDRS were significantly improved after shunt operations. …”
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    Article
  8. 2008

    The Value of Adrenal Androgens for Correcting Cortisol Lateralization in Adrenal Venous Sampling in Patients with Normal Cortisol Secretion by Wenjing Zhang, Keying Zhu, Hongyun Li, Yan Zhang, Dalong Zhu, Xuebin Zhang, Ping Li

    Published 2019-01-01
    “…The present study demonstrated the wide variation in cortisol concentrations in the adrenal veins of patients with normal cortisol secretion. The adrenal androgens might be ideal analytes used as normalizers when assessing the cortisol lateralization of AVS in normal or hypercortisolism cases.…”
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  9. 2009
  10. 2010

    Evaluation of Key Parameters Using Deep Convolutional Neural Networks for Airborne Pollution (PM10) Prediction by Marco Antonio Aceves-Fernández, Ricardo Domínguez-Guevara, Jesus Carlos Pedraza-Ortega, José Emilio Vargas-Soto

    Published 2020-01-01
    “…This article summarizes the usage of convolutional neural networks (CNNs) to forecast PM10 concentrations based on atmospheric variables. …”
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    Article
  11. 2011
  12. 2012
  13. 2013

    Atypical early neural responses to native and non-native language in infants at high likelihood for developing autism by Lauren Wagner, Megan Banchik, Tawny Tsang, Nana J. Okada, Rebecca Altshuler, Nicole McDonald, Susan Y. Bookheimer, Shafali S. Jeste, Shulamite Green, Mirella Dapretto

    Published 2025-02-01
    “…Whole-brain and a priori region-of-interest analyses were conducted to evaluate neural differences in language processing based on likelihood group and language condition. …”
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    Article
  14. 2014
  15. 2015
  16. 2016

    OPTIMIZATION OF OIL EXTRACTION FROM GARCINIA KOLA USING ARTIFICIAL NEURAL NETWORK AND RESPONSE SURFACE METHODOLOGY by SYLVESTER UWADIAE, FAITH OVIESU, BAMIDELE AYODELE

    Published 2020-06-01
    “… The target of this investigation was to model and optimize selected process parameters when extracting oil from Garcinia kola. Artificial neural network (ANN) and Box-Behnken design (BBD) in response surface methodology (RSM) were used for the modelling and optimization of the process parameters. …”
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    Article
  17. 2017

    Bi-GRCN: A Spatio-Temporal Traffic Flow Prediction Model Based on Graph Neural Network by Wenhao Jiang, Yunpeng Xiao, Yanbing Liu, Qilie Liu, Zheng Li

    Published 2022-01-01
    “…Based on the idea of spatio-temporal data fusion, fully considering the correlation of traffic flow data in the time dimension and the dependence of spatial structure, this paper proposes a new spatio-temporal traffic flow prediction model based on Graph Neural Network (GNN), which is called Bidirectional-Graph Recurrent Convolutional Network (Bi-GRCN). …”
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    Article
  18. 2018
  19. 2019

    THE POLITICAL SYMBOLISM OF UNMARKED GRAVES: THE KILLING AND SECRET BURIAL OF THE NIGERIAN LEADER OF BOKO HARAM, MUHAMMAD YUSUF by IBRAHIM BRAJI

    Published 2024-07-01
    “…This research uses the public safety theory to explain the denial of a burial ground to the leader of Boko haram, Muhammad Yusuf. …”
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    Article
  20. 2020

    Adoption of Convolutional Neural Network Algorithm Combined with Augmented Reality in Building Data Visualization and Intelligent Detection by Minghui Wei, Jingjing Tang, Haotian Tang, Rui Zhao, Xiaohui Gai, Renying Lin

    Published 2021-01-01
    “…It aims to improve the degree of visualization of building data, ensure the ability of intelligent detection, and effectively solve the problems encountered in building data processing. Convolutional neural network and augmented reality technology are adopted, and a building visualization model based on convolutional neural network and augmented reality is proposed. …”
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    Article