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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

4. An ontology-based method for assessing batch effect adjustment approaches in heterogeneous datasets

Author:
Florian Schmidt; Markus List; Engin Cukuroglu; Sebastian Köhler; Jonathan Göke; Marcel H Schulz
Source:
Bioinformatics 2018 v.34 no.17 pp. i908
ISSN:
1460-2059
Subject:
bioinformatics; cell differentiation; data quality; epigenetics; genome; genomics; humans; sequence analysis
Abstract:
... International consortia such as the Genotype-Tissue Expression (GTEx) project, The Cancer Genome Atlas (TCGA) or the International Human Epigenetics Consortium (IHEC) have produced a wealth of genomic datasets with the goal of advancing our understanding of cell differentiation and disease mechanisms. However, utilizing all of these data effectively through integrative analysis is hampered by batc ...
DOI:
10.1093/bioinformatics/bty553
PubMed:
30423059
PubMed Central:
PMC6129283

5. Understanding social and behavioral drivers and impacts of air quality sensor use

Author:
Bryan J. Hubbell; Amanda Kaufman; Louie Rivers; Kayla Schulte; Gayle Hagler; Jane Clougherty; Wayne Cascio; Dan Costa
Source:
Science of the total environment 2018 v.621 pp. 886-894
ISSN:
0048-9697
Subject:
air; air pollutants; air pollution; air quality; attitudes and opinions; citizen scientists; data quality; engineering; environmental exposure; ethics; governance; humans; industry; interdisciplinary research; monitoring; professionals; public health; researchers; risk
Abstract:
... Lower-cost air quality sensors (hundreds to thousands of dollars) are now available to individuals and communities. This technology is undergoing a rapid and fragmented evolution, resulting in sensors that have uncertain data quality, measure different air pollutants and possess a variety of design attributes. Why and how individuals and communities choose to use sensors is arguably influenced by ...
DOI:
10.1016/j.scitotenv.2017.11.275
PubMed:
29216596
PubMed Central:
PMC6705391