Multivariate statistical monitoring system for microbial population dynamics

2021 ◽  
Author(s):  
Koji Ishiya ◽  
Sachiyo Aburatani
Keyword(s):  
Time Series ◽  
Dietary Intervention ◽  
Environmental Changes ◽  
Recovery Process ◽  
Natural Environments ◽  
Dynamic Changes ◽  
Multivariate Statistical ◽  
Statistical Process ◽  
Robust Detection ◽  
The Impact

Abstract Microbiomes in their natural environments vary dynamically with changing environmental conditions. The detection of these dynamic changes in microbial populations is critical for understanding the impact of environmental changes on the microbial community. Here, we propose a novel method to detect time-series changes in the microbiome, based on multivariate statistical process control. By focusing on the interspecies structures, this approach enables the robust detection of time-series changes in a microbiome composed of a large number of microbial species. Applying this approach to empirical human gut microbiome data, we accurately traced time-series changes in microbiota composition induced by a dietary intervention trial. This method was also excellent for tracking the recovery process after the intervention. Our approach can be useful for monitoring dynamic changes in complex microbial communities.

scholarly journals MULTI BAND INSAR ANALYSIS OF SUBSIDENCE DEVELOPMENT BASED ON THE LONG PERIOD TIME SERIES

2015 ◽  
Vol XL-1-W5 ◽  
pp. 115-121 ◽  
Author(s):  
F. C. Çomut ◽  
A. Ustun ◽  
M. Lazecky ◽  
M. M. Aref
Keyword(s):  
Time Series ◽  
Vertical Direction ◽  
Geodetic Network ◽  
Sar Interferometry ◽  
Subsidence Trough ◽  
Dynamic Changes ◽  
Industrial Growth ◽  
Network Time ◽  
The Impact

The SAR Interferometry (InSAR) application has shown great potential in monitoring of land terrain changes and in detection of land deformations such as subsidence. Longer time analysis can lead to understand longer trends and changes. Using different bands of SAR satellite (C- from ERS 1-2 and Envisat, L- from ALOS) over the study area, we achieve knowledge of movements in long-term and evaluation of its dynamic changes within observed period of time. Results from InSAR processing fit with the position changes in vertical direction based on GPS network established over the basin as an effective geodetic network. Time series (StaMPS PS+SB) of several points over Çumra County in eastern part of Konya City show a general trend of the deformation that is expected to be approximately between -13 to -17 mm/year. Northern part of Karaman is affected by faster subsidence, borders of the subsidence trough were identified from Envisat. <br><br> Presenting InSAR results together with GIS information about locations and time of occurrence of sudden subsidence, urban/industrial growth in time and climate changes helps in better understanding of the situation. This way, the impact of natural and man-made changes will be shown for urban planning thanks to InSAR and GIS comparisons with hydrogeological modeling. In this study we present results of differential and multitemporal InSAR series using different bands and GIS conjunction associated with seasonal and temporal groundwater level changes in Konya Closed Basin.

Solving Multi-Center Dynamic Optimization Problems Using Modified Differential Evolution

2013 ◽  
Vol 462-463 ◽  
pp. 356-359
Author(s):  
Xing Bao Liu ◽  
Jian Ping Yin
Keyword(s):  
Differential Evolution ◽  
Environmental Changes ◽  
Optimization Problems ◽  
Dynamic Environments ◽  
Dynamic Optimization Problems ◽  
Dynamic Changes ◽  
Learning Mechanism ◽  
Differential Algorithm ◽  
The Impact ◽  
Self Learning

A novel self-learning differential evolution is proposed to solve multi-center optimization under dynamic environments. The approach of Re-evaluating is used to monitor environmental changes, then historial best individual obtained the environment guides population to new environment. What's more, the self-learning mechanism is employed to reduce the impact of dynamic changes of environment.The experimental results on a set of 4 test dynamic functions show that, self-learning differential algorithm outperforms other algorithms in term of the convergence speed.

scholarly journals Multivariate statistical modelling of extreme coastal water levels and the effect of climate variability: a case study in the Netherlands

2020 ◽  
Author(s):  
Victor M. Santos ◽  
Mercè Casas-Prat ◽  
Benjamin Poschlod ◽  
Elisa Ragno ◽  
Bart van den Hurk ◽  
...  
Keyword(s):  
Time Series ◽  
Water Level ◽  
Climate Model ◽  
Regional Climate ◽  
Water Levels ◽  
Multivariate Statistical ◽  
Inland Water ◽  
Impact Function ◽  
The Impact

Abstract. The co-occurrence of (not necessarily extreme) precipitation and surge can lead to extreme inland water levels in coastal areas. In a previous work the positive dependence between the two meteorological drivers was demonstrated in a case study in the Netherlands by empirically investigating an 800-year time series of water levels, which were simulated via a physical-based hydrological model driven by a regional climate model large ensemble. In this study, we present and test a multivariate statistical framework to replicate the demonstrated dependence and the resulting return periods of inland water levels. We use the same 800-year data series to develop an impact function, which is able to empirically describe the relationship between high inland water levels (the impact) and its driving variables (precipitation and surge). In our study area, this relationship is complex because of the high degree of human management affecting the dynamics of the water level. By event sampling and conditioning the drivers, an impact function was created that can reproduce the water levels maintaining an unbiased performance at the full range of simulated water levels. The dependence structure between the driving variables is modeled using two- and three-dimensional copulas. These are used to generate paired synthetic precipitation and surge events, transformed into inland water levels via the impact function. The compounding effects of surge and precipitation and the return water level estimates fairly well reproduce the earlier results from the empirical analysis of the same regional climate model ensemble. The proposed framework is therefore able to produce robust estimates of compound extreme water levels for a highly managed hydrological system. In addition, we present a unique assessment of the uncertainty when using only 50 years of data (what is typically available from observations). Training the impact function with short records leads to a general underestimation of the return levels as water level extremes are not well sampled. Also, the marginal distributions of the 50-year time series of the surge show high variability. Moreover, compounding effects tend to be underestimated when using 50 year slices to estimate the dependence pattern between predictors. Overall, the internal variability of the climate system is identified as a major source of uncertainty in the multivariate statistical model.

scholarly journals Attributes of pedoindicator soils in areas cultivated with typical crops in the Western Amazon, Brazil

2020 ◽  
Vol 36 ◽  
Author(s):  
Half Weinberg Corrêa Jordão ◽  
Milton César Costa Campos ◽  
Bruno Campos Mantovanelli ◽  
José César Frozzi ◽  
José Maurício da Cunha ◽  
...  
Keyword(s):  
Environmental Changes ◽  
Cropping Systems ◽  
Chemical Properties ◽  
Multivariate Techniques ◽  
Native Forest ◽  
Natural Environments ◽  
City Region ◽  
Multivariate Statistical ◽  
Chemical Attributes ◽  
The Relationship

The crop systems adopted in the Amazônia region have been studied several times in terms of the variability and to indicate the soil attributes more sensitive to the different crops. Thus, the objective of this work was to apply multivariate techniques in order to identify the chemical attributes most sensitive to environmental changes in different crop systems in Western Amazonia, Brazil. The research was conducted in five rural properties located in the Humaitá city region, Western Amazonia, Brazil. There were selected four environments with natural characteristics (Native Forest - NF) and five cropping systems (Grazing, Cassava, Açaí, Agroforestry and Reforestation). In the selected areas, soil samples were collected at depths layers of 0.0-0.05 m; 0.05-0.1 m and 0.1-0.2 m and the following chemical analyzes were performed: pH in water, Ca2+, Mg2+, K +, Resin-P, phosphorus bio-available particulate (Pbp), OC, Al3+, H++Al3+ and from these results SB, T, t, m% and V% were calculated. Multivariate statistical techniques were used to verify similarities between the crop systems in the attempt to relate the crops grown and the chemical attributes. The multivariate analysis was essential in the crop systems distinction, as well as to describe the relationship with the chemical properties. The results demonstrate and reinforce the existing variability between crop systems, with emphasis on the variation in crop systems, compared to natural environments.

Klára Buzássyová V Kontexte Sémantizácie Slovenskej Lexiky Cudzincom

2018 ◽  
Vol 69 (3) ◽  
pp. 616-625
Author(s):  
Jana Pekarovičová
Keyword(s):  
Foreign Language ◽  
Foreign Students ◽  
Summer School ◽  
European Language ◽  
Dynamic Changes ◽  
Language And Culture ◽  
Current Trends ◽  
Communication Needs ◽  
The Impact ◽  
Slovak Language

Abstract This paper deals with the characteristics of the scientific research of the renowned Slovak linguist Klára Buzássyová who – as a lecturer at the Studia Academica Slovaca summer school of Slovak language and culture – presented to foreign students the specifics of Slovak lexis and their function in speech within the context of intraand interlingual relationships. In her lectures, she helped students to see Slovak as a developped and modern Central European language which has its own genetic and typological properties and as a language capable of reacting to dynamic changes emerging from the communication needs of language users while respecting current trends in European language policy. Klára Buzássyová presented students with the latest results of her linguistic research and discussed the issues regarding the dynamics of vocabulary with an emphasis on the methods of wordformation, motivation, and the impact on the semantic and stylistic value of lexical units. Her papers, published in the Studia Academica Slovaca proceedings from 1980 to 2001 presented her scientific orientation and became an inspiration for the linguistic and didactic conception of Slovak as a foreign language in the context of the development of Slovak studies in Slovakia as well as abroad.

Unemployment as an indicator of economic security in the employment sector: A regional dimension

2020 ◽  
Vol 16 (4) ◽  
pp. 715-729
Author(s):  
T.N. Savina
Keyword(s):  
Comparative Analysis ◽  
Age Groups ◽  
National Development ◽  
Federal District ◽  
Economic Security ◽  
Employment Policy ◽  
Multivariate Statistical ◽  
Band Theory ◽  
The Republic ◽  
The Impact

Subject. To achieve a high level of economic security is a key priority of national development. Employment reveals one of the most important aspects of social development of the individual that is associated with his or her needs satisfaction in the sphere of employment and is boon to economic security. Objectives. The purpose of the study is to show the impact of unemployment on economic security in employment. Methods. I apply such scientific methods as dialectical, historical and logical unity, structural and functional analysis, traditional techniques of economic analysis and synthesis. The methods of multivariate statistical and comparative analysis serve as a methodological basis of the study. To determine the indicator of unemployment, I use the band theory. Results. I underpin the growing role of employment in ensuring economic security. The paper presents a comprehensive assessment of the unemployment status and a comparative analysis of the indicator in the Republic of Mordovia, the Volga Federal District, and the Russian Federation as a whole. I identify trends in the average duration of unemployment, show the distribution of unemployed by level of education and age groups. Conclusions. The average annual unemployment rate in the Republic of Mordovia is lower than in Russia and the Volga Federal District. The findings may be useful for public authorities to substantiate their employment policy at both macro- and meso-levels, for designing programs and strategies for socio-economic development of regions and the social security doctrine, as well as in practical activities of employment services.

Designing a CRM Framework for online & offline sports footwear retailers

2015 ◽  
Vol 3 (1) ◽  
Author(s):  
Rodrigo Cueva ◽  
Guillem Rufian ◽  
Maria Gabriela Valdes
Keyword(s):  
Environmental Changes ◽  
Customer Relationship ◽  
Business Strategies ◽  
Economic Sectors ◽  
Running Shoes ◽  
Brick And Mortar ◽  
Key Factor ◽  
On Line ◽  
The Impact

The use of Customer Relationship Managers to foster customers loyalty has become one of the most common business strategies in the past years.  However, CRM solutions do not fill the abundance of happily ever-after relationships that business needs, and each client’s perception is different in the buying process.  Therefore, the experience must be precise, in order to extend the loyalty period of a customer as much as possible. One of the economic sectors in which CRM’s have improved this experience is retailing, where the personalized attention to the customer is a key factor.  However, brick and mortar experiences are not enough to be aware in how environmental changes could affect the industry trends in the long term.  A base unified theoretical framework must be taken into consideration, in order to develop an adaptable model for constructing or implementing CRMs into companies. Thanks to this approximation, the information is complemented, and the outcome will increment the quality in any Marketing/Sales initiative. The goal of this article is to explore the different factors grouped by three main domains within the impact of service quality, from a consumer’s perspective, in both on-line and off-line retailing sector.  Secondly, we plan to go a step further and extract base guidelines about previous analysis for designing CRM’s solutions focused on the loyalty of the customers for a specific retailing sector and its product: Sports Running Shoes.

River-Basin Planning for Control of Nitrate Pollution

1982 ◽  
Vol 14 (4-5) ◽  
pp. 245-252 ◽  
Author(s):  
C S Sinnott ◽  
D G Jamieson
Keyword(s):  
Time Series ◽  
Time Series Analysis ◽  
River Basin ◽  
Water Resource ◽  
Potable Water ◽  
Potential Problem ◽  
Nitrate Pollution ◽  
Optimal Mix ◽  
Regional Basis ◽  
The Impact

The combination of increasing nitrate concentrations in the River Thames and the recent EEC Directive on the acceptable level in potable water is posing a potential problem. In assessing the impact of nitrates on water-resource systems, extensive use has been made of time-series analysis and simulation. These techniques are being used to define the optimal mix of alternatives for overcoming the problem on a regional basis.

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