Results 61 to 70 of about 34,499 (218)

BP neural network integration model research for hydraulic metal structure health diagnosing [PDF]

International Journal of Computational Intelligence Systems, 2014
Several potential network structures are chosen to do a large number of experimental analysis, historical data is divided into training sample and testing sample, and the corresponding neural network model is established with BP learning algorithm. After
Guangming Yang, Chongshi Gu, Yong Huang, Kun Yang   +3 more
doaj   +1 more source

Microbiome‐blood–brain barrier interactions in aging — mechanisms and therapeutic potential

FEBS Letters, EarlyView.
Aging reshapes the gut microbiome (↓SCFA‐producing commensals; ↑pro‐inflammatory outputs), shifting circulating metabolites (↓SCFAs; ↑LPS, ↑TMAO, ↑PAA) that act at the BBB to increase nonspecific transcytosis, alter transport, and promote astrocyte reactivity, heightening brain vulnerability.
Daniel Cuervo‐Zanatta, Hari Baskar Balasubramanian, Amir Pasokh, Marietta Zille   +3 more
wiley   +1 more source

Developing neural network analysis technology for the resolution of issues in oil and gas geophysics

Известия высших учебных заведений: Нефть и газ
Neural network analysis represents a promising avenue for enhancing the efficacy of petroleum geophysics and the oil and gas industry. The analysis of the obtained experience of using the available neural network analysis methods and software packages in
S. K. Turenko
doaj   +1 more source

Epigenetic reprogramming of lineage switching in cancer

FEBS Letters, EarlyView.
Cancer cells rarely commit to a single identity. Epigenetic mechanisms and tumor microenvironment cues push epithelial cells toward flexible, hybrid states that can shift into mesenchymal, neuroendocrine, or stem‐like fates, driving metastasis, drug resistance, and tumor heterogeneity. Targeting the epigenetic regulators behind these transitions, using
Ezgi Boyvatlı, Burcu Akman, Ezgi Bağırsakçı, Nese Atabey, Serap Erkek‐Ozhan   +4 more
wiley   +1 more source

Automatic Classification of Attacks on IP Telephony

Advances in Electrical and Electronic Engineering, 2013
This article proposes an algorithm for automatic analysis of attack data in IP telephony network with a neural network. Data for the analysis is gathered from variable monitoring application running in the network.
Jakub Safarik, Pavol Partila, Filip Rezac, Lukas Macura, Miroslav Voznak   +4 more
doaj   +1 more source

Tumour–host interactions in Drosophila: mechanisms in the tumour micro‐ and macroenvironment

Molecular Oncology, EarlyView.
This review examines how tumour–host crosstalk takes place at multiple levels of biological organisation, from local cell competition and immune crosstalk to organism‐wide metabolic and physiological collapse. Here, we integrate findings from Drosophila melanogaster studies that reveal conserved mechanisms through which tumours hijack host systems to ...
José Teles‐Reis, Tor Erik Rusten
wiley   +1 more source

Neural Network Analysis of Crystalluria Content to Predict Urinary Stone Type

Research and Reports in Urology, 2021
Raed M Almannie, Abdullah K Alsufyani, Abdullah U Alturki, Mana Almuhaideb, Saleh Binsaleh, Abdulaziz M Althunayan, Mohammed A Alomar, Khalid M Albarraq, Fahad A Alyami Division of Urology, Department of Surgery, College of Medicine and King Saud ...
Almannie RM, Alsufyani AK, Alturki AU, Almuhaideb M, Binsaleh S, Althunayan AM, Alomar MA, Albarraq KM, Alyami FA   +8 more
doaj  

Brain Network Analysis and Classification Based on Convolutional Neural Network

Frontiers in Computational Neuroscience, 2018
Background: Convolution neural networks (CNN) is increasingly used in computer science and finds more and more applications in different fields. However, analyzing brain network with CNN is not trivial, due to the non-Euclidean characteristics of brain ...
Lu Meng, Jing Xiang
doaj   +1 more source

Keratin 19 as a prognostic marker and contributing factor of metastasis and chemoresistance in high‐grade serous ovarian cancer

Molecular Oncology, EarlyView.
Keratin 19 (KRT19) is overexpressed in high‐grade serous ovarian cancer with high levels of Kallikrein‐related peptidases (KLK) 4–7 and is associated with poor survival. In vivo analyses demonstrate that elevated KRT19 increases peritoneal tumour burden.
Sophia Bielesch, Isabel Vogel, Sina Nokodian, Johanna Moeller, Antonia Blechschmidt, Vicky Hecht, Vanessa Kuentzel, Katharina Thiedig, Melissa Schwab, Oliver Schilling, Holger Bronger, Marion Kiechle, Viktor Magdolen, Tobias Dreyer   +13 more
wiley   +1 more source

Establishment and Analysis of an Artificial Neural Network Model for Early Detection of Polycystic Ovary Syndrome Using Machine Learning Techniques

Journal of Inflammation Research, 2023
Yumi Wu,1 QiWei Xiao,1 ShouDong Wang,2 Huanfang Xu,1,3 YiGong Fang1,3 1Institute of Acupuncture and Moxibustion of China Academy of Chinese Medical Sciences, Beijing, People’s Republic of China; 2The Out-Patient Department of TCM of China Academy of ...
Wu Y, Xiao Q, Wang S, Xu H, Fang Y
doaj