Response to Dr Ross Sutherland's comments on the article “Statistical methods and pitfalls in environmental data analysis”

WSN consist of set of Sensing points which are responsible for collecting the detected information and then send the packets towards control centre which is responsible for processing of data. The applications of WSN include environmental data analysis, defence data collection and information. The survey of algorithms is done for the improvement of lifetime ratio. Four different algorithms namely Random, Random-CGT, EGT-Random and GTEB algorithms. The four algorithms are compared and then it is proved GTEB exhibits best behaviour with respect to energy consumed, number of non-holes, number of holes, Non-Hole to Hole ratio, residual energy, overhead and throughput.

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Distinguishing different modes of growth using single-cell data

eLife ◽

10.7554/elife.72565 ◽

2021 ◽

Vol 10 ◽

Author(s):

Prathitha Kar ◽

Sriram Tiruvadi-Krishnan ◽

Jaana Männik ◽

Jaan Männik ◽

Ariel Amir

Keyword(s):

Data Analysis ◽

Single Cell ◽

Statistical Methods ◽

Synthetic Data ◽

Cellular Growth ◽

Biological Mechanisms ◽

E Coli ◽

High Throughput Data ◽

Consistent Method ◽

Cell Data

Collection of high-throughput data has become prevalent in biology. Large datasets allow the use of statistical constructs such as binning and linear regression to quantify relationships between variables and hypothesize underlying biological mechanisms based on it. We discuss several such examples in relation to single-cell data and cellular growth. In particular, we show instances where what appears to be ordinary use of these statistical methods leads to incorrect conclusions such as growth being non-exponential as opposed to exponential and vice versa. We propose that the data analysis and its interpretation should be done in the context of a generative model, if possible. In this way, the statistical methods can be validated either analytically or against synthetic data generated via the use of the model, leading to a consistent method for inferring biological mechanisms from data. On applying the validated methods of data analysis to infer cellular growth on our experimental data, we find the growth of length in E. coli to be non-exponential. Our analysis shows that in the later stages of the cell cycle the growth rate is faster than exponential.

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Zmiany wielkości produkcji wieprzowiny i jej struktury w Unii Europejskiej ze szczególnym uwzględnieniem pozycji krajów przyjętych po 2004 r.

Zeszyty Naukowe SGGW w Warszawie - Problemy Rolnictwa Światowego ◽

10.22630/prs.2017.17.2.36 ◽

2017 ◽

Vol 17(32) (2) ◽

pp. 166-175

Author(s):

Anna Olszańska

Keyword(s):

European Union ◽

Data Analysis ◽

Statistical Methods ◽

General Trend ◽

Downward Trend ◽

The European Union ◽

Agricultural Producers ◽

Pork Production ◽

Production Growth ◽

The Eu

The so-called "big enlargement" of the European Union in 2004 triggered many changes in the functioning of individual agricultural markets. They concerned agricultural producers, processors and distributors from new but also old members of the EU. The aim of the study is to analyze changes in volume and structure in pig production in EU with particular focus on changes in the position of countries which joined the EU after 2004. The analysis covered the years 2005-2016. Statistical materials from Eurostat database were used. The basic statistical methods of data analysis were used in the study. In the analyzed years, with the general trend of pork production growth in the EU, there have been significant changes in its size in individual countries. There has been a significant increase in production in so-called old EU countries. The main beneficiaries of the in the pork market in the EU area were livestock producers and processors from Germany and Spain. In the countries which joined the EU after 2004, there has generally been a downward trend in volume of production, with the largest declines in most countries observed in 2009.

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