Multivariate analysis of ground water characteristics of Ajali sandstone formation: A case study of Udi and Nsukka LGAs of Enugu State of Nigeria

2017 ◽  
Vol 129 ◽  
pp. 668-674 ◽  
Author(s):  
L.C. Orakwe ◽  
E.C. Chukwuma
2020 ◽  
Vol 18 (7) ◽  
pp. 1397-1414
Author(s):  
K.S. Golondarev

Subject. This article explores the issues of business tourism clustering in Greater Moscow. Objectives. The article intends to justify the need to create a business tourism cluster in Greater Moscow to improve the investment climate in the region. Methods. For the study, I used a multivariate analysis, forecasting, and extrapolation. Results. The article shows a certain relationship between the efficient functioning of the business tourism cluster and the economy's development. Conclusions and Relevance. Certain types of tourist clusters can serve as platforms for attracting investors and implementing marketing plans. The business tourism cluster is a link between buyers and sellers in various industries. The results of the study can be used to improve the effectiveness of the cluster initiative in business tourism, as well as find ways of cooperation between the State and private investors when creating the business tourism cluster in Greater Moscow.


2018 ◽  
Vol 2 (1) ◽  
pp. 18-20 ◽  
Author(s):  
Muhammad Usman ◽  
Mian Bilal Khalid ◽  
Hafsa Yasin ◽  
Abdul Nasir, ◽  
Ch Arslan

2020 ◽  
Vol 86 (7) ◽  
pp. 12-19
Author(s):  
I. V. Plyushchenko ◽  
D. G. Shakhmatov ◽  
I. A. Rodin

A viral development of statistical data processing, computing capabilities, chromatography-mass spectrometry, and omics technologies (technologies based on the achievements of genomics, transcriptomics, proteomics, metabolomics) in recent decades has not led to formation of a unified protocol for untargeted profiling. Systematic errors reduce the reproducibility and reliability of the obtained results, and at the same time hinder consolidation and analysis of data gained in large-scale multi-day experiments. We propose an algorithm for conducting omics profiling to identify potential markers in the samples of complex composition and present the case study of urine samples obtained from different clinical groups of patients. Profiling was carried out by the method of liquid chromatography mass spectrometry. The markers were selected using methods of multivariate analysis including machine learning and feature selection. Testing of the approach was performed using an independent dataset by clustering and projection on principal components.


1997 ◽  
Vol 36 (8-9) ◽  
pp. 379-384
Author(s):  
Sveinn T. Thorolfsson

This paper describes a case study on a new alternative drainage system for urban stormwater management, the so-called “Sandsli-system”. The aim of this study is to evaluate the Sandsli system and the effects of the solution on ground water conditions. The study is carried out in the Sandsli research catchment in Bergen, Norway. The idea behind the “Sandsli-system is not to mix the polluted and the clean stormwater combined with a source control for both stormwater quantity and quality. The clean stormwater is percolated as quickly as possible, while the polluted stormwater is collected and conducted to an appropriate site for disposal or treatment. The Sandsli-system was developed as an alternative drainage system to the conventional drainage system. The system has been functioning satisfactorily since 1981 to date. The advantages of the use of the Sandsli-system is highlighted i.e. recharging the stormwater to the ground water. The Sandsli-system is appropriate to locations with climate and geology similar to that found in the coastal part of Norway


Ground Water ◽  
1993 ◽  
Vol 31 (3) ◽  
pp. 417-424 ◽  
Author(s):  
M. M. Nazari ◽  
M. W. Burston ◽  
P. K. Bishop ◽  
D. N. Lerner

2017 ◽  
Vol 1489 ◽  
pp. 115-125 ◽  
Author(s):  
Federico Marini ◽  
Dalene de Beer ◽  
Nico A. Walters ◽  
André de Villiers ◽  
Elizabeth Joubert ◽  
...  

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