Based on BP Neural Network Classification of Medical History of Traditional Chinese Medicine Literature Research

2017 ◽  
Author(s):  
Hongmei Bao
Keyword(s):  
Neural Network ◽  
Chinese Medicine ◽  
Traditional Chinese Medicine ◽  
Medical History ◽  
Bp Neural Network ◽  
Literature Research ◽  
Neural Network Classification ◽  
History Of

Travel and Transformation

2017 ◽  
Vol 12 (1) ◽  
pp. 1-21
Author(s):  
Bo Hu
Keyword(s):  
Chinese Medicine ◽  
Traditional Chinese Medicine ◽  
Medical History ◽  
Public Discourse ◽  
Nation Building ◽  
Journal Articles ◽  
History Of

Few concepts in the medical history of China have been more entangled with modernization and nation-building than weisheng. Originally a concept inextricably bound up with traditional Chinese medicine, it underwent drastic changes and became a near equivalent of modern hygiene. Drawing on the notion of traveling concepts, this article traces the travel and transformation it experienced in journal articles between 1880 and 1930, focusing on how the new concept gradually took shape and became established in public discourse, the enabling and resisting agents, as well as their agendas.

Deep Neural Network Classification of I-123 Ioflupane SPECT

2020 ◽  
Author(s):  
David T. Wang ◽  
Brady Williamson ◽  
Thomas Eluvathingal ◽  
Bruce Mahoney ◽  
Jennifer Scheler
Keyword(s):  
Neural Network ◽  
Deep Neural Network ◽  
Neural Network Classification

scholarly journals Composition of “gold juice” using an ancient method based on intestinal microecology

2020 ◽  
Vol 48 (9) ◽  
pp. 030006052093128
Author(s):  
Qiuwei Li ◽  
Liying Guo ◽  
Li Wang ◽  
Jing Miao ◽  
Huantian Cui ◽  
...  
Keyword(s):  
Chinese Medicine ◽  
Traditional Chinese Medicine ◽  
Fecal Microbiota Transplantation ◽  
Antibiotic Use ◽  
Fecal Microbiota ◽  
Healthy Children ◽  
Fecal Samples ◽  
16S Rdna Sequence Analysis ◽  
History Of ◽  
Chinese Medicine Treatment

Objective To identify potentially effective bacterial components of gold juice, a traditional Chinese medicine treatment used for fecal microbiota transplantation. Methods Fecal samples were collected from five healthy children (two boys and three girls; mean age, 7.52 ± 2.31 years). The children had no history of antibiotic use or intestinal microecological preparation in the preceding 3 months. Fresh fecal samples were collected from children to prepare gold juice in mid-to-late November, in accordance with traditional Chinese medicine methods, then used within 7 days. Finally, 16S rDNA sequence analysis was used to identify potentially effective bacterial components of gold juice. QIIME software was used for comparisons of microbial species among gold juice, diluent, filtrate, and loess samples. Results Microflora of gold juice exhibited considerable changes following “ancient method” processing. Microbial components significantly differed between gold juice and filtrate samples. The gold juice analyzed in our study consisted of microbes that synthesize carbohydrates and amino acids by degrading substances, whereas the filtrate contained probiotic flora, Bacteroides, and Prevotella 9. Conclusions This study of microbial components in gold juice and filtrate provided evidence regarding effective bacterial components in gold juice, which may aid in clinical decisions concerning fecal microbiota transplantation.

Inclusion of Multiple Cycling of the Potential into Deep Neural Network Classification of Voltammetric Reaction Mechanisms

2021 ◽  
Author(s):  
Luke Gundry ◽  
Gareth Kennedy ◽  
Alan Bond ◽  
Jie Zhang
Keyword(s):  
Neural Network ◽  
Neural Networks ◽  
Reaction Mechanisms ◽  
Deep Neural Network ◽  
Deep Neural Networks ◽  
Neural Network Classification ◽  
Initial Cycle

The use of Deep Neural Networks (DNNs) for the classification of electrochemical mechanisms based on training with simulations of the initial cycle of potential have been reported. In this paper,...

Sign in / Sign up

Export Citation Format

Share Document