Microbiome and Metabolomics: Statistical Data Analyses

2022 ◽  
Author(s):  
Yinglin Xia ◽  
Jun Sun
Keyword(s):  
Statistical Data ◽  
Data Analyses

The Option of Appropriate System for Wastewater Treatment in Low-Density Areas

1993 ◽  
Vol 28 (10) ◽  
pp. 49-56 ◽  
Author(s):  
Masao Ukita ◽  
Hisatake Shirota ◽  
Hiroshi Nakanishi
Keyword(s):  
Water Quality ◽  
Treatment Cost ◽  
Statistical Data ◽  
Small Scale ◽  
Low Density ◽  
External Cost ◽  
Data Analyses ◽  
Appropriate Treatment ◽  
Energy Saving Technology ◽  
Questionnaire Surveys

The method for selecting the appropriate treatment system in low-density areas was studied by statistical data analyses and questionnaire surveys. The main results obtained are as follows.(l) The efficiency of sewerage service has been decreasing. With decrease of the population density in served areas, treatment cost is increasing from 7,000 yen/household in 1961 to near 40,000 in 1989.(2) By considering the external cost of treated water quality, the marginal house density beyond which collective systems become advantageous, was estimated to be 9.5 houses/ha compared to the original value of 13 houses/ha.(3) Improvement of water quality, saving energy, and efficient uses of sludge are considered to be important for the environmental impact of sewerage systems. Suitable allocation of optional treatment systems, energy saving technology and prevention of sludge contamination must be the important issues for the sewerage service on a small scale.

scholarly journals A novel shiny platform for the geo-spatial analysis of large amount of patient data.

2017 ◽  
Author(s):  
Francesco Guarino ◽  
Mario Alessandro Russo ◽  
Monica Franzese ◽  
Dario Righelli ◽  
Giovanni Improta ◽  
...  
Keyword(s):  
Health Care ◽  
Spatial Analysis ◽  
Environmental Pollution ◽  
Statistical Data ◽  
Incidence Data ◽  
Data Analyses ◽  
Spatio Temporal ◽  
Geographical Maps ◽  
Data Layers ◽  
User Friendly

It has been estimated that up to 80% of all data stored in health care databases may have spatial components. To fully exploit such components, there is a need of improving existing tools or developing novel spatio-temporal functionalities. Geographic information systems (GIS) as QuantumGis, SOLAP2, etc. are potential candidates to support decisional needs, but despite their capabilities, they are still scarcely employed in association within BI applications. For these reasons, we are developing a GIS user-friendly interface in R environment in order to dynamically and interactively visualize and analyze (within BI platforms) diverse informative data layers (e.g., pathology incidence data, environmental pollution, etc.). Although preliminary, we believe that this kind of tools could be suitable used for epidemiologic, environmental and economical studies by providing geographical maps and statistical data analyses of interest for different stakeholders.

ADVANCING FORENSIC CHEMISTRY OF SPILLED OIL: SELF-NORMALIZING FINGERPRINT INDEXES

1997 ◽  
Vol 1997 (1) ◽  
pp. 936-937 ◽  
Author(s):  
Charles B. Henry ◽  
Paulene O. Roberts ◽  
Edward B. Overton
Keyword(s):  
Oil Spill ◽  
False Positive ◽  
Statistical Data ◽  
False Negative ◽  
Investigator Bias ◽  
Qualitative Approaches ◽  
Data Analyses ◽  
Tar Balls ◽  
Oil Spill Response ◽  
Spilled Oil

ABSTRACT Forensic approaches for differentiating spilled oils, tar balls, and oil-contaminated sediments by source can be enhanced by converting qualitative GC/MS data to quantitative values and applying statistical data analyses. Such techniques reduce the potential for chemist bias and fatigue that can result in false-positive and false-negative determinations. The suite of indexes used by our laboratory are highly discriminating, resistant to oil weathering and biodegradation, and are not subject to most day-to-day laboratory variances. We have applied the term “self-normalizing fingerprint indexes” (SFIs) to label such parameters or ratios. The SFI approach has been demonstrated to reduce investigator bias and highlight subtle differences in actual spill samples and baseline monitoring studies that might have been missed by standard qualitative approaches to source-fingerprinting. This approach represents another step in the development of legally defensible methods of oil spill response.

scholarly journals A novel shiny platform for the geo-spatial analysis of large amount of patient data.

2017 ◽  
Author(s):  
Francesco Guarino ◽  
Mario Alessandro Russo ◽  
Monica Franzese ◽  
Dario Righelli ◽  
Giovanni Improta ◽  
...  
Keyword(s):  
Health Care ◽  
Spatial Analysis ◽  
Environmental Pollution ◽  
Statistical Data ◽  
Incidence Data ◽  
Data Analyses ◽  
Spatio Temporal ◽  
Geographical Maps ◽  
Data Layers ◽  
User Friendly

It has been estimated that up to 80% of all data stored in health care databases may have spatial components. To fully exploit such components, there is a need of improving existing tools or developing novel spatio-temporal functionalities. Geographic information systems (GIS) as QuantumGis, SOLAP2, etc. are potential candidates to support decisional needs, but despite their capabilities, they are still scarcely employed in association within BI applications. For these reasons, we are developing a GIS user-friendly interface in R environment in order to dynamically and interactively visualize and analyze (within BI platforms) diverse informative data layers (e.g., pathology incidence data, environmental pollution, etc.). Although preliminary, we believe that this kind of tools could be suitable used for epidemiologic, environmental and economical studies by providing geographical maps and statistical data analyses of interest for different stakeholders.

scholarly journals Karlín and its changes in the context of post-socialist transformation of Prague

Geografie ◽  
2007 ◽  
Vol 112 (3) ◽  
pp. 292-314 ◽  
Author(s):  
Jan Ilík ◽  
Martin Ouředníček
Keyword(s):  
Spatial Structure ◽  
Inner City ◽  
Statistical Data ◽  
Spatial Structures ◽  
Data Analyses ◽  
New Development ◽  
Radical Reconstruction

The trends of post-socialist transformation in the inner city are described and illustrated in the case study of Karlín. At present, this area is going through a radical reconstruction and changes of spatial structure. The main aim of this analysis is to identify the processes which have changed this structure and to reveal the main mechanisms which underlie these changes. Attention is paid to the roles of the participants involved in the new development as well. Changes of partial components of spatial structures were observed through interviews, fieldwork and statistical data analyses.

The region's natural and resource potential as a component of investment resources: The Ganja-Gazakh economic region of Azerbaijan case study

2020 ◽  
Vol 18 (3) ◽  
pp. 412-428
Author(s):  
A.A. Gasanov ◽  
I.V. Khan-Khoyskaya ◽  
A.M. Bagirova
Keyword(s):  
Natural Resources ◽  
Resource Use ◽  
Statistical Data ◽  
Ecological Environment ◽  
Economic Region ◽  
Resource Potential ◽  
Data Analyses

Subject. This article highlights the natural and resource potential and capabilities of the Ganja-Gazakh Economic Region of Azerbaijan. Objectives. The article aims to assess the feasibility of developing projects to increase domestic and external investment in the Ganja-Gazakh Economic Region. Methods. For the study, we used content, systems, and statistical data analyses, and the emergence principle, that implies the impossibility to reduce properties of the whole to the sum of properties of its parts. Results. The article provides an assessment of the reserves of natural raw resources of the Ganja-Gazakh Economic Region. Conclusions. The ecological environment of the region has been damaged by depletion and pollution as the consumption of natural resources increases. There is a need for increased investment in resource-use projects and priority programmes for the restoration and conservation of the environment. The local executive authorities should prepare decisions to encourage investment in the modernization of the region's production infrastructure.

scholarly journals Factors That Affect The Nonpayment Of Municipal Services In Madibeng, Mamelodi And Soshanguve Townships Of South Africa

2017 ◽  
Vol 34 (1) ◽  
pp. 99-116
Author(s):  
Zeleke Worku
Keyword(s):  
South Africa ◽  
Employment Status ◽  
Formal Education ◽  
Statistical Data ◽  
Municipal Services ◽  
Bayesian Analyses ◽  
Data Analyses ◽  
Local Municipalities ◽  
Ordered Logistic Regression ◽  
Status Level

The study was conducted in Madibeng, Mamelodi and Soshanguve townships of South Africa in order to assess and evaluate the main reasons for the non-payment of municipal services by members of the community. The study was conducted based on a stratified random sample of size 428 households. Statistical data analyses were performed by using methods such as ordered logistic regression analysis and Bayesian analyses. The results showed that 22% of households in Madibeng, 54% of households in Mamelodi and 78% of households in Soshanguve were willing to pay for municipal services that were provided to them by their local municipalities. Reluctance to pay for municipal services was significantly influenced by employment status, level of formal education and race group. 

Statistical data analyses for clinical neurophysiology

2017 ◽  
Vol 128 (10) ◽  
pp. 1837-1838 ◽  
Author(s):  
Mark Stecker ◽  
Patrizio Pasqualetti ◽  
Robert J. Barry ◽  
Zafiris J. Daskalakis ◽  
Hartwig R. Siebner ◽  
...  
Keyword(s):  
Statistical Data ◽  
Clinical Neurophysiology ◽  
Data Analyses
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