SDF-1/CXCR4 Signaling Maintains Stemness Signature in Mouse Neural Stem/Progenitor Cells by Shih-Yin Ho, Thai-Yen Ling, Hsing-Yu Lin, Jeffrey Tsai-Jui Liou, Fei-Chih Liu, I-Chun Chen, Sue-Wei Lee, Yu Hsu, Dar-Ming Lai, Horng-Huei Liou

“…Loss of SDF-1/CXCR4 signaling causes abnormal development of neural stem/progenitor cells (NSCs/NPCs) in the cerebellum, hippocampus, and cortex. …”
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Patient-centered outcomes for clinical trials in chronic rhinosinusitis with or without nasal polyps and allergic fungal rhinosinusitis by Brittany Klooster, Kaitlin Chatterton, Nazifa Ibrahim, Madison C. Bernstein, Alan L. Shields, Veleka Allen

“…Abstract Background Chronic rhinosinusitis (inclusive of subtypes with nasal polyps [CRSwNP], without nasal polyps [CRSsNP], and allergic fungal rhinosinusitis [AFRS]) causes inflammation of the nose mucosa and paranasal sinuses. …”
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A Review of Fuzzy Logic and Neural Network Based Intelligent Control Design for Discrete-Time Systems by Yiming Jiang, Chenguang Yang, Hongbin Ma

“…Over the last few decades, the intelligent control methods such as fuzzy logic control (FLC) and neural network (NN) control have been successfully used in various applications. …”
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Self-Organizing Mapping Neural Network Implementation Based on 3-D NAND Flash for Competitive Learning by Anyi Zhu, Lei Jin, Wen Zhou, Tianchun Ye, Zongliang Huo

“…Self-organizing Map (SOM) neural network is a prominent algorithm in unsupervised machine learning, which is widely used for data clustering, high-dimensional visualization, and feature extraction. …”
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Switched Exponential State Estimation and Robust Stability for Interval Neural Networks with Discrete and Distributed Time Delays by Hongwen Xu, Huaiqin Wu, Ning Li

“…The interval exponential state estimation and robust exponential stability for the switched interval neural networks with discrete and distributed time delays are considered. …”
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Data-driven multi-fault detection in pipelines utilizing frequency response function and artificial neural networks by Hussein A. M. Hussein, Sharafiz B. Abdul Rahim, Faizal B. Mustapha, Prajindra S. Krishnan, Nawal Aswan B. Abdul Jalil

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Prediction Model of Corrosion Current Density Induced by Stray Current Based on QPSO-Driven Neural Network by Chengtao Wang, Wei Li, Gaifang Xin, Yuqiao Wang, Shaoyi Xu

“…The QPSO algorithm was employed to optimize the updating process of weights and biases in the artificial neural network (ANN). The results show that the accuracy of the proposed QPSO-NN model is better than the model based on backpropagation neural network (BPNN) and particle swarm optimization-neural network (PSO-NN). …”
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Application of a Neural Network Model for Prediction of Wear Properties of Ultrahigh Molecular Weight Polyethylene Composites by Halil Ibrahim Kurt, Murat Oduncuoglu

“…The extensive experimental results were taken from literature and modeled with artificial neural network (ANN). The feed forward (FF) back-propagation (BP) neural network (NN) was used to predict the dry sliding wear behavior of UHMWPE composites. …”
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Modeling of River Sediment Estimation Using Artificial Neural Network Method (Case Study: Vanai River) by Dariush Abolfathi, Aghil Madadi, Sayyad Asghari

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Molecular Characterization and Antibacterial Potential of Endophytic Fungal Isolates from Selected Mangroves along the Coastline of Kenya by Teresia Nyambura Wacira, Huxley Mae Makonde, Carren Moraa Bosire, Cromwell Mwiti Kibiti

“…A. marina and R. mucronata harbored the most fungal endophytes that showed the highest antibacterial activity. …”
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Modelling Lithuanian family farms’ participation in agri-environmental subsidy schemes: a Neural Network Approach by Kristina Gesevičienė, Erika Besusparienė

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Determinants of Neural Tube Defects among Newborns in Amhara Region, Ethiopia: A Case-Control Study by Abay Woday Tadesse, Ayesheshim Muluneh Kassa, Setognal Birara Aychiluhm

“…Hence, this study intended to identify the determinants of neural tube defects in Amhara Region, Ethiopia. Methods. …”
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Protein arginine methyltransferase 7 linked to schizophrenia through regulation of neural progenitor cell proliferation and differentiation by Ting Shen, Jing Yu, Bin Xie, Cuiping Huang, Jingjie Cui, Kefu Liu, Chunyu Liu, Chao Chen

“…Downregulating PRMT7 in neural progenitor cells (NPCs) decreased proliferation, increased neuronal differentiation, and also led to longer neurites in these neurons. …”
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Effects of High Frequency Chest Compression on Respiratory System Mechanics in Normal Subjects and Cystic Fibrosis Patients by Richard L Jones, Richard T Lester, Neil E Brown

“…OBJECTIVE: To investigate the short term effects of high frequency chest compression (HFCC) on several indices of respiratory system mechanics in normal subjects and patients with cystic fibrosis (CF).…”
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Research on Commercial Bank Risk Early Warning Model Based on Dynamic Parameter Optimization Neural Network by Yiming Wang

“…This article establishes a warning model of commercial banks by using a neural network. Taking the bank as an empirical sample, the constructed neural network model is used. …”
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Deformation Criterion for Determining the Distance Between Normal Cracks in Reinforced Concrete Beams under Plane Bending by D. A. Pekin

Subjects: “…normal crack…”
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Bone Morphogenetic Protein 4 Signalling in Neural Stem and Progenitor Cells during Development and after Injury by Alistair E. Cole, Simon S. Murray, Junhua Xiao

“…Substantial progress has been made in identifying the extracellular signalling pathways that regulate neural stem and precursor cell biology in the central nervous system (CNS). …”
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Exploration Degree Bias: The Hidden Influence of Node Degree in Graph Neural Network-Based Reinforcement Learning by Peter Tarabek, David Matis

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An Airborne Gravity Gradient Compensation Method Based on Convolutional and Long Short-Term Memory Neural Networks by Shuai Zhou, Changcheng Yang, Yi Cheng, Jian Jiao

“…This method outperforms traditional neural networks’ multi-layer perceptrons (MLPs) in terms of compensation accuracy on both simulated and measured airborne gravity gradient data from Heilongjiang Province.…”
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Multiconstrained Network Intensive Vehicle Routing Adaptive Ant Colony Algorithm in the Context of Neural Network Analysis by Shaopei Chen, Ji Yang, Yong Li, Jingfeng Yang

“…Neural network models have recently made significant achievements in solving vehicle scheduling problems. …”
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