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You searched for: Publication year rev 7982-2018 Remove constraint Publication year rev: 7982-2018 Subject data quality Remove constraint Subject: data quality Subject term data quality Remove constraint Subject term: data quality Subject term humans Remove constraint Subject term: humans Text availability Citation in PubAg Remove constraint Text availability: Citation in PubAg
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1. Discovering relationships and forecasting PM10 and PM2.5 concentrations in Bogotá, Colombia, using Artificial Neural Networks, Principal Component Analysis, and k-means clustering

Author:
Fabiana Franceschi; Martha Cobo; Manuel Figueredo
Source:
Atmospheric pollution research journal 2018 pp. -
ISSN:
1309-1042
Subject:
air pollutants; air pollution; algorithms; data quality; humans; meteorological parameters; monitoring; neural networks; particulates; principal component analysis; Colombia
Abstract:
... Air pollution is an important matter for local authorities in Bogotá (Colombia), with PM10 and PM2.5 being the most serious air pollutants in the city. In the present study, data mining algorithms were used to establish the most influential meteorological variables on air pollution in Bogotá, and to develop models to forecast PM10 and PM2.5 to help local authorities prevent human exposure to high ...
DOI:
10.1016/j.apr.2018.02.006

2. Rapid differentiation of Lactobacillus species via metabolic profiling

Author:
Kundi Yang; Mengyang Xu; Fanyi Zhong; Jiangjiang Zhu
Source:
Journal of microbiological methods 2018 v.154 pp. 147-155
ISSN:
0167-7012
Subject:
Lactobacillus; data quality; digestive system; functional properties; humans; lactic acid; lactic acid bacteria; metabolites; metabolomics; monitoring; probiotics; spectrometers; sugars
Abstract:
... Lactobacillus, the major genus of lactic acid bacteria group, plays functional roles in the human body, for example, convert sugars to lactic acid. They are the significant microbiota which can be found at a number of human body sites, such as the digestive system, urinary system, and genital system. A number of Lactobacillus species are often used as probiotics and can benefit host health when ad ...
DOI:
10.1016/j.mimet.2018.10.013

3. Using Adjacent Buoy Information to Predict Wave Heights of Typhoons Offshore of Northeastern Taiwan

Author:
Chih-Chiang Wei; Chia-Jung Hsieh
Source:
Water 2018 v.10 no.12 pp. -
ISSN:
2073-4441
Subject:
data quality; humans; monitoring; neural networks; prediction; typhoons; water waves; Taiwan
Abstract:
... In the northeastern sea area of Taiwan, typhoon-induced long waves often cause rogue waves that endanger human lives. Therefore, having the ability to predict wave height during the typhoon period is critical. The Central Weather Bureau maintains the Longdong and Guishandao buoys in the northeastern sea area of Taiwan to conduct long-term monitoring and collect oceanographic data. However, records ...
DOI:
10.3390/w10121800