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1. The Human and Economic Cost of Hidden Hunger

Author:
Alexander J. Stein; Matin Qaim
Source:
Food and nutrition bulletin v.28 no.2 pp. 125-134
ISSN:
0379-5721
Subject:
data quality; developing countries; disability-adjusted life year; economic costs; economic productivity; gross domestic product; humans; hunger; income; malnutrition; nutrition; public health; India
Abstract:
... Micronutrient malnutrition is a public health problem in many developing countries. Its negative impact on income growth is recognized in principle, but there are widely varying estimates of the related economic cost. To discuss available studies that quantify the cost of micronutrient malnutrition, and to develop an alternative framework and apply it to India. Detailed burden of disease calculati ...
DOI:
10.1177/156482650702800201

2. Understanding the metabolism of urban-rural ecosystems : A multi-sectoral systems analysis

Author:
R. Villarroel Walker; M. B. Beck
Source:
Urban ecosystems 2012 v.15 no.4 pp. 809-848
ISSN:
1083-8155
Subject:
Monte Carlo method; carbon; case studies; coal; data quality; electricity; energy; fertilizer application; food industry; forestry; gasoline; humans; metabolism; natural gas; nitrogen; phosphorus; poultry industry; power generation; solar radiation; transportation; uncertainty; waste management; water utilities; watersheds
Abstract:
... A Multi-sectoral Systems Analysis (MSA) methodology is presented as a tool for identifying the level of importance of flows of energy and materials (water, nitrogen, phosphorus, and carbon) as they pass through an anthropogenically manipulated system. That system comprises a web of processes, across a total of five industrial sectors: water, forestry, food, energy and waste management. Given the h ...
DOI:
10.1007/s11252-012-0241-8

3. Automatic detection of blurred images in UAV image sets

Author:
Till Sieberth; Rene Wackrow; Jim H. Chandler
Source:
ISPRS journal of photogrammetry and remote sensing 2016 v.122 pp. 1-16
ISSN:
0924-2716
Subject:
algorithms; altitude; automatic detection; cameras; cost effectiveness; data quality; flight; humans; image analysis; photogrammetry; turbulent flow; unmanned aerial vehicles; wind speed
Abstract:
... Unmanned aerial vehicles (UAV) have become an interesting and active research topic for photogrammetry. Current research is based on images acquired by an UAV, which have a high ground resolution and good spectral and radiometrical resolution, due to the low flight altitudes combined with a high resolution camera. UAV image flights are also cost effective and have become attractive for many applic ...
DOI:
10.1016/j.isprsjprs.2016.09.010

4. Single-cell RNA-sequencing: The future of genome biology is now

Author:
Simone Picelli
Source:
RNA biology 2017 v.14 no.5 pp. 637-650
ISSN:
1555-8584
Subject:
RNA; antibiotic resistance; automation; cell differentiation; data quality; embryogenesis; genome; genomics; humans; sequence analysis; stem cells; transcriptome
Abstract:
... Genome-wide single-cell analysis represents the ultimate frontier of genomics research. In particular, single-cell RNA-sequencing (scRNA-seq) studies have been boosted in the last few years by an explosion of new technologies enabling the study of the transcriptomic landscape of thousands of single cells in complex multicellular organisms. More sensitive and automated methods are being continuousl ...
DOI:
10.1080/15476286.2016.1201618
PubMed:
27442339
PubMed Central:
PMC5449089

5. Spatio-Temporal evolutive Data Infrastructure: a Spatial Data Infrastructure for managing data flows of Territorial Statistical Information

Author:
Camille Bernard; Marlène Villanova-Oliver; Jérôme Gensel; Benoit Le Rubrus
Source:
International journal of digital earth 2017 v.10 no.3 pp. 257-283
ISSN:
1753-8955
Subject:
data collection; decision making; environmental indicators; experts; humans; infrastructure; spatial data; stakeholders; time series analysis
Abstract:
... The observation of demographical, economical or environmental indicators over time through maps is crucial. It enables analysing territories and helps stakeholders to take decisions. However, the understanding of Territorial Statistical Information (TSI) is compromised unless comprehensive description of both the statistical methodology used and the spatial and temporal references are given. Thus, ...
DOI:
10.1080/17538947.2016.1222003

6. 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

7. 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

8. 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

9. 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

10. 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

11. ExpoQual: Evaluating measured and modeled human exposure data

Author:
Judy S. LaKind; Cian O’Mahony; Thomas Armstrong; Rosalie Tibaldi; Benjamin C. Blount; Daniel Q. Naiman
Source:
Environmental research 2019 v.171 pp. 302-312
ISSN:
0013-9351
Subject:
data quality; decision making; environmental assessment; humans; risk assessment
Abstract:
... Recent rapid technological advances are producing exposure data sets for which there are no available data quality assessment tools. At the same time, regulatory agencies are moving in the direction of data quality assessment for environmental risk assessment and decision-making. A transparent and systematic approach to evaluating exposure data will aid in those efforts. Any approach to assessing ...
DOI:
10.1016/j.envres.2019.01.039

12. Trend analysis of climate time series: A review of methods

Author:
Manfred Mudelsee
Source:
Earth-science reviews 2019 v.190 pp. 310-322
ISSN:
0012-8252
Subject:
Monte Carlo method; algorithms; autocorrelation; climate; computers; data quality; global warming; humans; industrialization; meteorological data; politics; surface temperature; time series analysis; uncertainty
Abstract:
... The increasing trend curve of global surface temperature against time since the 19th century is the icon for the considerable influence humans have on the climate since the industrialization. The discourse about the curve has spread from climate science to the public and political arenas in the 1990s and may be characterized by terms such as “hockey stick” or “global warming hiatus”. Despite its d ...
DOI:
10.1016/j.earscirev.2018.12.005

13. Assessing the environmental status of selected North Atlantic deep-sea ecosystems

Author:
Georgios Kazanidis; Covadonga Orejas; Angel Borja; Ellen Kenchington; Lea-Anne Henry; Oisín Callery; Marina Carreiro-Silva; Hronn Egilsdottir; Eva Giacomello; Anthony Grehan; Lénaïck Menot; Telmo Morato; Stefán Áki Ragnarsson; José Luis Rueda; David Stirling; Tanja Stratmann; Dick van Oevelen; Andreas Palialexis; David Johnson; J Murray Roberts
Source:
Ecological indicators 2020 v.119 pp. 106624
ISSN:
1470-160X
Subject:
European Union; body size; data quality; ecosystems; feasibility studies; fish; habitats; humans; shellfish
Abstract:
... The deep sea is the largest biome on Earth but the least explored. Our knowledge of it comes from scattered sources spanning different spatial and temporal scales. Implementation of marine policies like the European Union’s Marine Strategy Framework Directive (MSFD) and support for Blue Growth in the deep sea are therefore hindered by lack of data. Integrated assessments of environmental status re ...
DOI:
10.1016/j.ecolind.2020.106624

14. Benefits and Drawbacks of Citizen Science to Complement Traditional Data Gathering Approaches for Medically Important Hard Ticks (Acari: Ixodidae) in the United States

Author:
Lars Eisen; Rebecca J. Eisen
Source:
Journal of medical entomology 2020 v.58 no.1 pp. 1-9
ISSN:
0022-2585
Subject:
Ixodidae; citizen science; citizen scientists; data quality; humans; medical entomology; public health; risk; species identification; ticks
Abstract:
... Tick-borne diseases are increasing in North America. Knowledge of which tick species and associated human pathogens are present locally can inform the public and medical community about the acarological risk for tick bites and tick-borne infections. Citizen science (also called community-based monitoring, volunteer monitoring, or participatory science) is emerging as a potential approach to comple ...
DOI:
10.1093/jme/tjaa165

15. Characterization of the Human Exposome by a Comprehensive and Quantitative Large-Scale Multianalyte Metabolomics Platform

Author:
Raúl González-Domínguez; Olga Jáuregui; María Isabel Queipo-Ortuño; Cristina Andrés-Lacueva
Source:
Analytical chemistry 2020 v.92 no.20 pp. 13767-13775
ISSN:
1520-6882
Subject:
analytical chemistry; case studies; data quality; drugs; exposome; genetic background; human health; humans; longevity; metabolites; metabolome; metabolomics; microorganisms; nutritional intervention; quality control; urine
Abstract:
... The exposome, defined as the cumulative measure of external exposures and associated biological responses throughout the lifespan, has emerged in recent years as a cornerstone in biomedical sciences. Metabolomics stands out here as one of the most powerful tools for investigating the interplay between the genetic background, exogenous, and endogenous factors within human health. However, to addres ...
DOI:
10.1021/acs.analchem.0c02008

16. Combining spatially balanced sampling, route optimisation and remote sensing to assess biodiversity response to reclamation practices on semi-arid well pads

Author:
Michael F. Curran; Samuel E. Cox; Timothy J. Robinson; Blair L. Robertson; Calvin F. Strom; Peter D. Stahl
Source:
Biodiversity 2020 v.21 no.4 pp. 171-181
ISSN:
2160-0651
Subject:
algorithms; biodiversity; cameras; computer software; data quality; digital images; experimental design; flight; habitat fragmentation; humans; image analysis; issues and policy; labor; land restoration; oils; unmanned aerial vehicles; vegetation cover
Abstract:
... Biodiversity decline is widely considered a critical global environmental threat. In the western United States, land surface disturbance associated with oil and gas development is considered a top driver of habitat fragmentation and biodiversity decline. Land reclamation and ecosystem restoration activities help mitigate biodiversity loss, though monitoring practices to track these efforts are inc ...
DOI:
10.1080/14888386.2020.1733085

17. Data of epigenomic profiling of histone marks and CTCF binding sites in bovine rumen epithelial primary cells before and after butyrate treatment

Author:
Xiaolong Kang; Shuli Liu; Lingzhao Fang; Shudai Lin; Mei Liu; Ransom L. Baldwin; George E. Liu; Cong-jun Li
Source:
Data in Brief 2020 v.28 pp. 104983
ISSN:
2352-3409
Subject:
acetylation; butyrates; cattle; data quality; epigenetics; epigenome; epithelium; experimental design; genomics; guidelines; histones; humans; metabolism; methylation
Abstract:
... Discovering the regulatory elements of genomes in livestock is essential for our understanding of livestock's basic biology and genomic improvement programs. Previous studies showed butyrate mediates epigenetic modifications of bovine cells. To explore the bovine functional genomic elements and the vital roles of butyrate on the epigenetic modifications of bovine genomic activities, we generated a ...
DOI:
10.1016/j.dib.2019.104983
CHORUS:
10.1016/j.dib.2019.104983

18. Financial cost analysis of a strategy to improve the quality of administrative vaccination data in Uganda

Author:
Kirsten Ward; Kevin Mugenyi; Adam MacNeil; Henry Luzze; Carol Kyozira; Annet Kisakye; David Matseketse; Anthony T. Newall; Anita E. Heywood; Peter Bloland; Sarah W. Pallas
Source:
Vaccine 2020 v.38 no.5 pp. 1105-1113
ISSN:
0264-410X
Subject:
data quality; human behavior; humans; labor force; lodging; monitoring; operating costs; opportunity costs; planning; supervisors; vaccination; vaccines; Uganda
Abstract:
... High-quality vaccination data are critical to planning, implementation and evaluation of immunization programs. However, sub-optimal administrative vaccination data quality in low- and middle-income countries persist for heterogeneous reasons, though most relate to organizational factors and human behavior. The nationwide Data Improvement Team (DIT) strategy in Uganda aimed to strengthen human res ...
DOI:
10.1016/j.vaccine.2019.11.030

19. Five Easy Metrics of Data Quality for LC–MS-Based Global Metabolomics

Author:
Xinyu Zhang; Jiyang Dong; Daniel Raftery
Source:
Analytical chemistry 2020 v.92 no.19 pp. 12925-12933
ISSN:
1520-6882
Subject:
analytical chemistry; biomarkers; blood serum; computer software; data quality; humans; liquid chromatography; mass spectrometry; metabolites; metabolomics
Abstract:
... Data quality in global metabolomics is of great importance for biomarker discovery and system biology studies. However, comprehensive metrics and methods to evaluate and compare the data quality of global metabolomics data sets are lacking. In this work, we combine newly developed metrics, along with well-known measures, to comprehensively and quantitatively characterize the data quality across tw ...
DOI:
10.1021/acs.analchem.0c01493

20. A General Point-Based Method for Self-Calibration of Terrestrial Laser Scanners Considering Stochastic Information

Author:
Tengfei Zhou; Xiaojun Cheng; Peng Lin; Zhenlun Wu; Ensheng Liu
Source:
Remote Sensing 2020 v.12 no.18 pp. -
ISSN:
2072-4292
Subject:
accuracy; algorithms; correlation; data quality; estimation; humans; information; nonlinear models; paper; remote sensing; scanners; solutions; uncertainty; variance; volume
Abstract:
... Due to the existence of environmental or human factors, and because of the instrument itself, there are many uncertainties in point clouds, which directly affect the data quality and the accuracy of subsequent processing, such as point cloud segmentation, 3D modeling, etc. In this paper, to address this problem, stochastic information of point cloud coordinates is taken into account, and on the ba ...
DOI:
10.3390/rs12182923

21. Landsat 9: Empowering open science and applications through continuity

Author:
Jeffrey G. Masek; Michael A. Wulder; Brian Markham; Joel McCorkel; Christopher J. Crawford; James Storey; Del T. Jenstrom
Source:
Remote sensing of environment 2020 v.248 pp. 111968
ISSN:
0034-4257
Subject:
Landsat; data quality; environment; humans
Abstract:
... The history of Earth observation from space is well reflected through the Landsat program. With data collection beginning with Landsat-1 in 1972, the program has evolved technical capabilities while maintaining continuity of land observations. In so doing, Landsat has provided a critical reference for assessing long-term changes to Earth's land environment due to both natural and human forcing. Po ...
DOI:
10.1016/j.rse.2020.111968

22. MODIS Collection 6.1 3 km resolution aerosol optical depth product: global evaluation and uncertainty analysis

Author:
Jing Wei; Zhanqing Li; Lin Sun; Yiran Peng; Lei Liu; Lijie He; Wenmin Qin; Maureen Cribb
Source:
Atmospheric environment 2020 v.240 pp. 117768
ISSN:
1352-2310
Subject:
aerosols; air pollution; algorithms; data quality; environment; governmental programs and projects; humans; quality control; reflectance; spatial variation; uncertainty; uncertainty analysis; East Asia; Europe; North America
Abstract:
... Recently, NASA has released the newest Moderate Resolution Imaging Spectroradiometer (MODIS)/Terra Collection 6.1 (C6.1) aerosol product generated at a higher spatial resolution of 3 km (i.e., MOD04_3K) with main updates in the radiation calibration and the Dark Target (DT) aerosol algorithm. This product is of great importance for air pollution studies at small to medium scales but has not been f ...
DOI:
10.1016/j.atmosenv.2020.117768

23. Multiple Global Population Datasets: Differences and Spatial Distribution Characteristics

Author:
Ruxia Chen; Huimin Yan; Fang Liu; Wenpeng Du; Yanzhao Yang
Source:
ISPRS international journal of geo-information 2020 v.9 no.11 pp. -
ISSN:
2220-9964
Subject:
accuracy; area; data quality; databases; environment; estimation; history; human settlements; humans; information; population; population density; population distribution; precision; remote sensing; spatial data; spatial distribution; urbanization; China; United Kingdom
Abstract:
... Spatial data of regional populations are indispensable in studying the impact of human activities on resource utilization and the ecological environment. Because the differences between datasets and their spatial distribution are still unclear, this has become a puzzle in data selection and application. This study is based on four mainstream spatialized population datasets: the History Database of ...
DOI:
10.3390/ijgi9110637

24. Perspective: Laboratory Considerations and Clinical Data Management for Human Nutrition Randomized Controlled Trials: Guidance for Ensuring Quality and Integrity

Author:
Kevin C Maki; Joshua W Miller; George P McCabe; Gowri Raman; Penny M Kris-Etherton
Source:
Advances in nutrition 2020 v.12 no.1 pp. 46-58
ISSN:
2156-5376
Subject:
data quality; databases; human nutrition; humans; information management; nutrition research
Abstract:
... In human nutrition randomized controlled trials (RCTs), planning, and careful execution of clinical data collection and management are vital for producing valid and reliable results. In this article, we provide an overview of best practices for biospecimen collection and analyses, and for the fundamentals of clinical data management, including preparation and study startup; data collection, entry, ...
DOI:
10.1093/advances/nmaa088

25. Reducing the measurement time of exact NOEs by non-uniform sampling

Author:
Parker J. Nichols; Alexandra Born; Morkos A. Henen; Dean Strotz; David N. Jones; Frank Delaglio; Beat Vögeli
Source:
Journal of biomolecular NMR 2020 v.74 no.12 pp. 717-739
ISSN:
0925-2738
Subject:
RNA; data quality; density; exhibitions; extracts; guidelines; humans; journals; mixing; protein structure; proteins; sampling; testing; yields
Abstract:
... We have previously reported on the measurement of exact NOEs (eNOEs), which yield a wealth of additional information in comparison to conventional NOEs. We have used these eNOEs in a variety of applications, including calculating high-resolution structures of proteins and RNA molecules. The collection of eNOEs is challenging, however, due to the need to measure a NOESY buildup series consisting of ...
DOI:
10.1007/s10858-020-00344-8

26. A Review of Human Mobility Research Based on Big Data and Its Implication for Smart City Development

Author:
Anqi Wang; Anshu Zhang; Edwin H. W. Chan; Wenzhong Shi; Xiaolin Zhou; Zhewei Liu
Source:
ISPRS international journal of geo-information 2020 v.10 no.1 pp. -
ISSN:
2220-9964
Subject:
administrative management; cities; data analysis; data quality; e-mail; human behavior; humans; issues and policy; knowledge; literature; research; spatial data; China
Abstract:
... Along with the increase of big data and the advancement of technologies, comprehensive data-driven knowledge of urban systems is becoming more attainable, yet the connection between big-data research and its application e.g., in smart city development, is not clearly articulated. Focusing on Human Mobility, one of the most frequently investigated applications of big data analytics, a framework for ...
DOI:
10.3390/ijgi10010013

27. Springs and Springs-Dependent Taxa of the Colorado River Basin, Southwestern North America: Geography, Ecology and Human Impacts

Author:
Lawrence E. Stevens; Jeffrey Jenness; Jeri D. Ledbetter
Source:
Water 2020 v.12 no.5 pp. -
ISSN:
2073-4441
Subject:
Coleoptera; Hemiptera; Mollusca; anthropogenic stressors; aquifers; base flow; basins; climate change; data quality; ecological restoration; fish; geochemistry; geography; groundwater; habitats; highlands; human population; humans; information management; introduced species; inventories; invertebrates; issues and policy; livestock husbandry; pH; plateaus; pollution; population growth; rangelands; recreation; rivers; species richness; streams; urbanization; vegetation structure; water shortages; water temperature; watersheds; Arizona; Colorado River
Abstract:
... The Colorado River basin (CRB), the primary water source for southwestern North America, is divided into the 283,384 km², water-exporting Upper CRB (UCRB) in the Colorado Plateau geologic province, and the 344,440 km², water-receiving Lower CRB (LCRB) in the Basin and Range geologic province. Long-regarded as a snowmelt-fed river system, approximately half of the river’s baseflow is derived from g ...
DOI:
10.3390/w12051501

28. A critical viewpoint on current issues, limitations, and future research needs on micro- and nanoplastic studies: From the detection to the toxicological assessment.

Author:
Fernando Barbosa; Joseph A. Adeyemi; Mariana Zuccherato Bocato; Ahmed Comas; Andres Campiglia
Source:
Environmental research 2020 v.182 pp. 109089
ISSN:
0013-9351
Subject:
data quality; ecosystems; humans; nanoplastics; toxicity; toxicity testing
Abstract:
... Increasing scientific attention on the presence of micro- and nanoplastics (MNPs) in the environments and their potential toxic effects on humans and the ecosystems is evident. Accordingly, the number of publications on this topic has increased substantially from only 5 in 2010 to more than 850 in 2019. Thus, this critical review aimed at providing state-of-the-art information on the existing meth ...
DOI:
10.1016/j.envres.2019.109089

29. A holistic life cycle evaluation of coking production covering coke oven gas purification process based on the subdivision method

Author:
Jingying Li; Suisui Zhang; Yan Nie; Xiaoxun Ma; Long Xu; Le Wu
Source:
Journal of cleaner production 2020 v.248 pp. 119183
ISSN:
0959-6526
Subject:
ammonia; benzene; data quality; electric energy consumption; emissions; energy industry; humans; life cycle assessment; ovens; purification methods; steam; sulfur
Abstract:
... The accuracy of life cycle assessment (LCA) results largely depends on data quality. Coking production is a multi-functional system that generally consists of coke-making process and coke oven gas (COG) purification process. Previous LCA studies mainly investigated the overall impacts of coking production without identifying the specific contribution of sub-processes due to lack of enough data. Th ...
DOI:
10.1016/j.jclepro.2019.119183

30. Current progress on the effect of mobile phone radiation on sperm quality: An updated systematic review and meta-analysis of human and animal studies

Author:
Gang Yu; Zhiming Bai; Chao Song; Qing Cheng; Gang Wang; Zeping Tang; Sixing Yang
Source:
Environmental pollution 2021 v.282 pp. 116952
ISSN:
0269-7491
Subject:
data quality; exposure duration; humans; meta-analysis; mobile telephones; pollution; sperm motility; sperm quality; systematic review; viability; Europe; West Asia
Abstract:
... Potential suppression of fertility due to mobile phone radiation remains a focus of researchers. We conducted meta-analyses on the effects of mobile phone radiation on sperm quality using recent evidence and propose some perspectives on this issue. Using the MEDLINE/PubMed, Embase, WOS, CENTRAL, and ClinicalTrials.gov databases, we retrieved and screened studies published before December 2020 on t ...
DOI:
10.1016/j.envpol.2021.116952

31. DaDIA: Hybridizing Data-Dependent and Data-Independent Acquisition Modes for Generating High-Quality Metabolomic Data

Author:
Jian Guo; Sam Shen; Shipei Xing; Tao Huan
Source:
Analytical chemistry 2021 v.93 no.4 pp. 2669-2677
ISSN:
1520-6882
Subject:
analytical chemistry; data quality; humans; leukemia; liquid chromatography; metabolites; metabolome; metabolomics; quality control; statistical analysis; tandem mass spectrometry; urine
Abstract:
... Existing data acquisition modes such as full-scan, data-dependent (DDA), and data-independent acquisition (DIA) often present limited capabilities in capturing metabolic information in liquid chromatography-mass spectrometry (LC-MS)-based metabolomics. In this work, we proposed a novel metabolomic data acquisition workflow that combines DDA and DIA analyses to achieve better metabolomic data quali ...
DOI:
10.1021/acs.analchem.0c05022

32. Data quality oriented procedure, for detailed mapping of heavy metals in urban topsoil as an approach to human health risk assessment

Author:
Joanna Świdwa-Urbańska; Jorge Batlle-Sales
Source:
Journal of environmental management 2021 v.295 pp. 113019
ISSN:
0301-4797
Subject:
autocorrelation; bulk density; data quality; environmental management; geostatistics; health effects assessments; heavy metals; human health; humans; ingestion; pH; pollution; risk; texture; topsoil; Poland
Abstract:
... Urban soils' health is important to the community because of the soils' potential use for recreational activities. A data quality-oriented approach to sampling design is proposed for performing soil representative surveys that gives support to defensible and statistically-based decisions. Krowoderski park in Cracow (Poland) was selected as a study case to investigate heavy metals (HMs) accumulatio ...
DOI:
10.1016/j.jenvman.2021.113019

33. Differential gene expression data from the human central nervous system across Alzheimer's disease, Lewy body diseases, and the amyotrophic lateral sclerosis and frontotemporal dementia spectrum

Author:
Ayush Noori; Aziz M. Mezlini; Bradley T. Hyman; Alberto Serrano-Pozo; Sudeshna Das
Source:
Data in Brief 2021 v.35 pp. 106863
ISSN:
2352-3409
Subject:
Alzheimer disease; Lewy bodies; amyotrophic lateral sclerosis; central nervous system; data quality; gene expression; gene expression regulation; humans; meta-analysis; quality control; systematic review; transcriptomics
Abstract:
... In Noori et al. [1], we hypothesized that there is a shared gene expression signature underlying neurodegenerative proteinopathies including Alzheimer's disease (AD), Lewy body diseases (LBD), and the amyotrophic lateral sclerosis and frontotemporal dementia (ALS-FTD) spectrum. To test this hypothesis, we performed a systematic review and meta-analysis of 60 human central nervous system transcript ...
DOI:
10.1016/j.dib.2021.106863

34. Estimating uncertainty: A Bayesian approach to modelling photosynthesis in C3 leaves

Author:
Yi Xiao; Jen Sloan; Chris Hepworth; Colin P. Osborne; Andrew J. Fleming; Xingyuan Chen; Xin‐Guang Zhu
Source:
Plant, cell and environment 2021 v.44 no.5 pp. 1436-1450
ISSN:
0140-7791
Subject:
Bayesian theory; carbon dioxide; chlorophyll; data quality; environment; enzyme kinetics; gas exchange; humans; models; photosynthesis; ribulose-bisphosphate carboxylase; rice; uncertainty
Abstract:
... The Farquhar‐von Caemmerer‐Berry (FvCB) model is extensively used to model photosynthesis from gas exchange measurements. Since its publication, many methods have been developed to measure, or more accurately estimate, parameters of this model. Here, we have created a tool that uses Bayesian statistics to fit photosynthetic parameters using concurrent gas exchange and chlorophyll fluorescence meas ...
DOI:
10.1111/pce.13995

35. Improving data quality in liquid chromatography-mass spectrometry metabolomics of human urine

Author:
Rosilene Cristina Rossetto Burgos; Adriana Nori de Macedo; Pedro Luis Rocha da Cruz; Hélio Tedesco-Silva Júnior; Karina Helena Morais Cardozo; Valdemir Melechco Carvalho; Marina Franco Maggi Tavares
Source:
Journal of chromatography 2021 v.1654 no. pp. 462457
ISSN:
0021-9673
Subject:
data quality; humans; kidney transplant; liquid chromatography; mass spectrometry; metabolites; metabolomics; urine
Abstract:
... Signal variation is a common drawback in untargeted metabolomics using liquid chromatography-mass spectrometry (LC-MS), mainly due to the complexity of biological matrices and reduced sample preparation, which results in the accumulation of sample components in the column and the ion source. Here we propose a simple, easy to implement approach to improve data quality in untargeted metabolomics by ...
DOI:
10.1016/j.chroma.2021.462457

36. LamaH  Large-Sample Data for Hydrology: big data for hydrology and environmental sciences

Author:
Christoph Klingler; Karsten Schulz; Mathew Herrnegger
Source:
Österreichische Wasser- und Abfallwirtschaft 2021 v.73 no.7-8 pp. 244-269
ISSN:
0945-358X
Subject:
climatology; continental climates; data quality; humans; hydrologic cycle; ice; land cover; rivers; runoff; snow; soil; time series analysis; topography; topology; vegetation; watersheds; Austria; Central European region; Slovakia
Abstract:
... Very large and comprehensive datasets are increasingly used in the field of hydrology. Large-sample studies provide insights into the hydrological cycle that might not be available with small-scale studies. LamaH (Large-Sample Data for Hydrology) is a new dataset for large-sample studies and comparative hydrology in Central Europe. It covers the entire catchment of the upper Danube to the state bo ...
DOI:
10.1007/s00506-021-00769-x

37. Life cycle assessment of mulch use on Okanagan apple orchards: Part 2 - Consequential

Author:
Nicole Bamber; Melanie Jones; Louise Nelson; Kirsten Hannam; Craig Nichol; Nathan Pelletier
Source:
Journal of cleaner production 2021 v.280 pp. 125022
ISSN:
0959-6526
Subject:
acidification; apples; bark; bark mulches; bioenergy; biomass; chemical elements; climate change; consequential life cycle assessment; data quality; ecotoxicology; electricity; emissions; energy; environmental impact; eutrophication; fossils; freshwater; greenhouse gases; heat; humans; land use; markets; models; natural gas; orchards; oxidation; ozonosphere; paper; papermaking; photochemistry; recycled paper; solar energy; toxicity; uncertainty; variability; wind; wood; British Columbia
Abstract:
... Wood and bark chip mulch has been shown to reduce net orchard greenhouse gas (GHG) emissions on an Okanagan Valley (British Columbia, Canada) apple orchard. However, this benefit was shown to be outweighed by the (attributional) life cycle impacts associated with mulch production. The current study expanded the scope of prior investigations to perform a consequential life cycle assessment of the i ...
DOI:
10.1016/j.jclepro.2020.125022

38. Multiscale Assessments of Three Reanalysis Temperature Data Systems over China

Author:
Xiaolong Huang; Shuai Han; Chunxiang Shi
Source:
Agriculture (Basel) 2021 v.11 no.12 pp. -
ISSN:
2077-0472
Subject:
agriculture; climate change; crop production; data quality; ecology; humans; irrigation; landscapes; mountains; quality control; sustainable development; temperature; temporal variation; China
Abstract:
... Temperature is one of the most important meteorological variables for global climate change and human sustainable development. It plays an important role in agroclimatic regionalization and crop production. To date, temperature data have come from a wide range of sources. A detailed understanding of the reliability and applicability of these data will help us to better carry out research in crop m ...
DOI:
10.3390/agriculture11121292

39. Optimization of a liquid chromatography-ion mobility-high resolution mass spectrometry platform for untargeted lipidomics and application to HepaRG cell extracts

Author:
Katyeny Manuela da Silva; Elias Iturrospe; Joris Heyrman; Jeremy P. Koelmel; Matthias Cuykx; Tamara Vanhaecke; Adrian Covaci; Alexander L.N. van Nuijs
Source:
Talanta 2021 v.235 pp. 122808
ISSN:
0039-9140
Subject:
chemical species; computer simulation; data quality; databases; electric potential difference; experimental design; humans; lipidomics; lipids; reversed-phase liquid chromatography; signal-to-noise ratio; spectrometers; standard deviation
Abstract:
... Analytical methods to evaluate the lipidome of biological samples need to provide high data quality to ensure comprehensive profiling and reliable structural elucidation. In this perspective, liquid chromatography-high resolution mass spectrometry (LC-HRMS) is the state-of-the-art technique for lipidomic analysis of biological samples. There are thousands of lipids in most biological samples, and ...
DOI:
10.1016/j.talanta.2021.122808

40. A Preprocessing Tool for Enhanced Ion Mobility–Mass Spectrometry-Based Omics Workflows

Author:
Aivett Bilbao; Bryson C. Gibbons; Sarah M. Stow; Jennifer E. Kyle; Kent J. Bloodsworth; Samuel H. Payne; Richard D. Smith; Yehia M. Ibrahim; Erin S. Baker; John C. Fjeldsted
Source:
Journal of proteome research 2021 v.21 no.3 pp. 798-807
ISSN:
1535-3907
Subject:
computer software; data quality; humans; lipids; liquid chromatography; metadata; proteome; research; spectroscopy
Abstract:
... The ability to improve the data quality of ion mobility–mass spectrometry (IM-MS) measurements is of great importance for enabling modular and efficient computational workflows and gaining better qualitative and quantitative insights from complex biological and environmental samples. We developed the PNNL PreProcessor, a standalone and user-friendly software housing various algorithmic implementat ...
DOI:
10.1021/acs.jproteome.1c00425

41. Quantifying the Impacts of Coal Mining and Soil-Water Conservation on Runoff in a Typical Watershed on the Loess Plateau, China

Author:
Binbin Lin; Yicheng Wang; Hejia Wang; Weihua Xiao
Source:
Water 2021 v.13 no.22 pp. -
ISSN:
2073-4441
Subject:
Soil and Water Assessment Tool model; climate change; coal; data quality; humans; rivers; runoff; soil water; water management; watersheds; China
Abstract:
... Coal mining and soil-water conservation are the two major human interventions on the Loess Plateau in China. Analyzing their impacts on hydrological processes is of great significance for sustainable water resource management. Using hydrological simulation (Soil and Water Assessment Tool, SWAT) and a data-driven method (double mass curve, DMC), the contributions of these two human activities and c ...
DOI:
10.3390/w13223229

42. Regional variation in the impacts of the COVID-19 pandemic on the quantity and quality of data collected by the project eBird

Author:
Wesley M. Hochachka; Hany Alonso; Carlos Gutiérrez-Expósito; Eliot Miller; Alison Johnston
Source:
Biological conservation 2021 v.254 pp. 108974
ISSN:
0006-3207
Subject:
COVID-19 infection; birds; data quality; habitats; humans; pandemic; politics; wetlands
Abstract:
... The COVID-19 pandemic has likely affected natural systems around the world; the curtailment of human activity has also affected the collection of data needed to identify the indirect effects of this pandemic on natural systems. We describe how the outbreak of COVID-19 disease, and associated stay-at-home orders in four political regions, have affected the quantity and quality of data collected by ...
DOI:
10.1016/j.biocon.2021.108974

43. Review on characteristics of trained sensory panels in food science

Author:
Ilija Djekic; José M. Lorenzo; Paulo E. S. Munekata; Mohammed Gagaoua; Igor Tomasevic
Source:
Journal of texture studies 2021 v.52 no.4 pp. 501-509
ISSN:
0022-4901
Subject:
data quality; food quality; gender; humans; sensory evaluation; texture
Abstract:
... Sensory analysis has been, is, and will be one of the most important methods in judging food quality. As such, it is an evaluation tool involving human subjects with specific skills to conduct assigned series of tests. This review outlines main characteristics of 179 trained panels published in 16 selected scientific journals in the last 12 months, as well as training methods used for panelists, a ...
DOI:
10.1111/jtxs.12616

44. Solar node and gateway wireless system functions in record breaking polar vortex outbreak of February 2021

Author:
Steven R. Evett; Alondra I. Thompson; Harry H. Schomberg; Manuel A. Andrade; John Anderson
Source:
Agrosystems, geosciences & environment 2021 v.4 no.4 pp. e20193
ISSN:
2639-6696
Subject:
Internet; USDA; agricultural management; air; cooperative research; data quality; environment; humans; markets; mobile telephones; research and development; telemetry
Abstract:
... Advances in environmental and agricultural management are increasingly enabled by unattended data acquisition using internet‐of‐things (IOT) approaches. These approaches combine advanced sensors and wireless data transmission to automatically convey field data to the internet. Users, either human or machine, then can access and act upon the data from nearly anywhere in the world. Particularly in t ...
Handle:
10113/7709561
DOI:
10.1002/agg2.20193

45. A feasible framework to downscale NPP-VIIRS nighttime light imagery using multi-source spatial variables and geographically weighted regression

Author:
Yang Ye; Linyan Huang; Qiming Zheng; Chenxin Liang; Baiyu Dong; Jinsong Deng; Xiuzhen Han
Source:
International journal of applied earth observation and geoinformation 2021 v.104 pp. 102513
ISSN:
1569-8432
Subject:
Landsat; data quality; humans; spatial data
Abstract:
... The cloud-free monthly composite of global nighttime light (NTL) data of the Suomi National Polar-orbiting Partnership with the Visible Infrared Imaging Radiometer Suite (NPP-VIIRS) day/night band (DNB) provides indispensable indications of human activities and settlements. However, the coarse spatial resolution (15 arc sec) of NTL imagery greatly restricts its application potential. This study pr ...
DOI:
10.1016/j.jag.2021.102513

46. A simple and robust wetland classification approach by using optical indices, unsupervised and supervised machine learning algorithms

Author:
Kazi Rifat Ahmed; Simu Akter; Andres Marandi; Christoph Schüth
Source:
Remote sensing applications 2021 v.23 pp. 100569
ISSN:
2352-9385
Subject:
Landsat; carbon sequestration; data quality; humans; land cover; normalized difference vegetation index; peat; remote sensing; support vector machines; Estonia
Abstract:
... Wetlands are important for their peat reservoir, dynamic land cover and natural resources, ecological and hydrological regimes, fossil fuels reservoir, and crucial carbon storage. The global wetlands are decreasing since 1800 due to climatic phenomena and human activities. Wetland mapping with satellite data is not new but an ongoing challenge due to its precision relies on data quality and data c ...
DOI:
10.1016/j.rsase.2021.100569

47. Biological matrix compatible porous thin film for quick extraction of drugs of abuse from urine prior to liquid chromatography-mass spectrometry analysis

Author:
Ali Azizi; Fereshteh Shahhoseini; Christina S. Bottaro
Source:
Talanta 2022 v.241 pp. 123264
ISSN:
0039-9140
Subject:
agitation; chemical species; data quality; desorption; ethylene glycol; films (materials); humans; methadone; methanol; microextraction; morphine; pH; polymers; solvents; stainless steel; t-test; tandem mass spectrometry; ultra-performance liquid chromatography; urine
Abstract:
... An efficient analytical method is developed using a porous sorptive polymer for thin film microextraction (PSP-TFME) of 8 model drugs from human urine samples. The analysis is conducted with ultra high performance liquid chromatography tandem mass spectrometry (UHPLC-MS/MS). The composition of the porous extraction phase, prepared on a stainless steel substrate, has been optimized for basic drugs ...
DOI:
10.1016/j.talanta.2022.123264

48. Enhancing global health security in Thailand: Strengths and challenges of initiating a One Health approach to avian influenza surveillance

Author:
Gabriel K. Innes; Anastasia S. Lambrou; Pornchai Thumrin; Yupawat Thukngamdee; Ratanaporn Tangwangvivat; Pawinee Doungngern; Kirana Noradechanon; Punnaporn Netrabukkana; Karen Meidenbauer; Thomas Mehoke; Christopher D. Heaney; Soawapak Hinjoy; Anissa N. Elayadi
Source:
One health 2022 v.14 pp. 100397
ISSN:
2352-7714
Subject:
One Health initiative; avian influenza; data quality; disease surveillance; federal government; humans; microbial detection; monitoring; pathogens; poultry; public health; stakeholders; waterfowl; Thailand
Abstract:
... Infectious disease surveillance systems support early warning, promote preparedness, and inform public health response. Pathogens that have human, animal, and environmental reservoirs should be monitored through systems that incorporate a One Health approach. In 2016, Thailand's federal government piloted an avian influenza (AI) surveillance system that integrates stakeholders from human, animal, ...
DOI:
10.1016/j.onehlt.2022.100397

49. Harmonized Quality Assurance/Quality Control Provisions for Nontargeted Measurement of Urinary Pesticide Biomarkers in the HBM4EU Multisite SPECIMEn Study

Author:
Chiara Maria Vitale; Arjen Lommen; Carolin Huber; Kevin Wagner; Borja Garlito Molina; Rosalie Nijssen; Elliott James Price; Marco Blokland; Frederike van Tricht; Hans G. J. Mol; Martin Krauss; Laurent Debrauwer; Olga Pardo; Nuria Leon; Jana Klanova; Jean-Philippe Antignac
Source:
Analytical chemistry 2022 v.94 no.22 pp. 7833-7843
ISSN:
1520-6882
Subject:
analytical chemistry; biomarkers; data quality; humans; liquid chromatography; mass spectrometry; pesticides; quality control; solvents; urine
Abstract:
... A set of quality assurance/quality control (QA/QC) criteria for nontargeted measurement of pesticide exposure markers in a large-scale study of human urine has been proposed and applied across five laboratories within the HBM4EU project. Quality control material, including reference standards and fortified pooled urine samples (QC urine) were prepared in a centralized way and distributed across pa ...
DOI:
10.1021/acs.analchem.2c00061

50. High-Performance Data Processing Workflow Incorporating Effect-Directed Analysis for Feature Prioritization in Suspect and Nontarget Screening

Author:
Tim J. H. Jonkers; Jeroen Meijer; Jelle J. Vlaanderen; Roel C. H. Vermeulen; Corine J. Houtman; Timo Hamers; Marja H. Lamoree
Source:
Environmental science & technology 2022 v.56 no.3 pp. 1639-1651
ISSN:
1520-5851
Subject:
automation; chemical analysis; computer simulation; computer software; data quality; environmental science; high performance liquid chromatography; humans; mass spectrometry; prioritization; toxicity
Abstract:
... Effect-directed analysis (EDA) aims at the detection of bioactive chemicals of emerging concern (CECs) by combining toxicity testing and high-resolution mass spectrometry (HRMS). However, consolidation of toxicological and chemical analysis techniques to identify bioactive CECs remains challenging and laborious. In this study, we incorporate state-of-the-art identification approaches in EDA and pr ...
DOI:
10.1021/acs.est.1c04168