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2001
Flexural behavior of high-strength reinforced concrete beam with hybrid fiber under normal and high temperature
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. …”
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2002
Integrating fast iterative filtering and ensemble neural network structure with attention mechanism for carbon price forecasting
Published 2024-11-01Subjects: Get full text
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2003
Development Assessment of Higher Education System Based on TOPSIS-Entropy, Hopfield Neural Network, and Cobweb Model
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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2004
Omega-3 Polyunsaturated Fatty Acids Enhance Neuronal Differentiation in Cultured Rat Neural Stem Cells
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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2005
Lipoxin Inhibits Fungal Uptake by Macrophages and Reduces the Severity of Acute Pulmonary Infection Caused by Paracoccidioides brasiliensis
Published 2015-01-01“…In agreement, MTL-treated macrophages showed reduced fungal burdens associated with decreased ingestion of fungal cells. …”
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2006
Retracted: Event Scene Method of Legal Domain Knowledge Map Based on Neural Network Hybrid Model
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2007
Parkinsonian Symptomatology May Correlate with CT Findings before and after Shunting in Idiopathic Normal Pressure Hydrocephalus
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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2008
The Value of Adrenal Androgens for Correcting Cortisol Lateralization in Adrenal Venous Sampling in Patients with Normal Cortisol Secretion
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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2009
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2010
Evaluation of Key Parameters Using Deep Convolutional Neural Networks for Airborne Pollution (PM10) Prediction
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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2011
Recovering 3D Shape with Absolute Size from Endoscope Images Using RBF Neural Network
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2012
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2013
Atypical early neural responses to native and non-native language in infants at high likelihood for developing autism
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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2014
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2015
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2016
OPTIMIZATION OF OIL EXTRACTION FROM GARCINIA KOLA USING ARTIFICIAL NEURAL NETWORK AND RESPONSE SURFACE METHODOLOGY
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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2017
Bi-GRCN: A Spatio-Temporal Traffic Flow Prediction Model Based on Graph Neural Network
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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2018
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2019
THE POLITICAL SYMBOLISM OF UNMARKED GRAVES: THE KILLING AND SECRET BURIAL OF THE NIGERIAN LEADER OF BOKO HARAM, MUHAMMAD YUSUF
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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2020
Adoption of Convolutional Neural Network Algorithm Combined with Augmented Reality in Building Data Visualization and Intelligent Detection
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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