scholarly journals Urban ecological space optimization based on multivariate analysis of spatial evolution: a case study of Ningbo City

2022 ◽  
Vol 42 (1) ◽  
Author(s):  
章瑞，王凯平，张云路，李雄 ZHANG Rui
Keyword(s):  
Multivariate Analysis ◽  
Spatial Evolution

The impact of business tourism clustering on the regional economy's development: A Greater Moscow case study

2020 ◽  
Vol 18 (7) ◽  
pp. 1397-1414
Author(s):  
K.S. Golondarev
Keyword(s):  
Multivariate Analysis ◽  
The State ◽  
Investment Climate ◽  
Private Investors ◽  
The Impact

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.

Algorithm of combining chromatography mass spectrometry-untargeted profiling and multivariate analysis for identification of marker-substances in samples of complex composition

2020 ◽  
Vol 86 (7) ◽  
pp. 12-19
Author(s):  
I. V. Plyushchenko ◽  
D. G. Shakhmatov ◽  
I. A. Rodin
Keyword(s):  
Mass Spectrometry ◽  
Multivariate Analysis ◽  
Large Scale ◽  
Complex Composition ◽  
Unified Protocol ◽  
Chromatography Mass Spectrometry ◽  
Marker Substances ◽  
Selection Testing ◽  
Untargeted Profiling

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.

Multivariate analysis of variance of designed chromatographic data. A case study involving fermentation of rooibos tea

2017 ◽  
Vol 1489 ◽  
pp. 115-125 ◽  
Author(s):  
Federico Marini ◽  
Dalene de Beer ◽  
Nico A. Walters ◽  
André de Villiers ◽  
Elizabeth Joubert ◽  
...  
Keyword(s):  
Multivariate Analysis ◽  
Analysis Of Variance ◽  
Multivariate Analysis Of Variance ◽  
Chromatographic Data ◽  
Rooibos Tea

A case study from neuroscience involving stereology and multivariate analysis

2004 ◽  
pp. 16-64 ◽  
Author(s):  
Luis M. Cruz-Orive ◽  
Ana M. Insausti ◽  
Ricardo Insausti ◽  
Dámaso Crespo
Keyword(s):  
Multivariate Analysis

Application of Multivariate Analysis toward Biotech Processes: Case Study of a Cell-Culture Unit Operation

2007 ◽  
Vol 23 (1) ◽  
pp. 61-67 ◽  
Author(s):  
A.O. Kirdar ◽  
J.S. Conner ◽  
J. Baclaski ◽  
A.S. Rathore
Keyword(s):  
Cell Culture ◽  
Multivariate Analysis ◽  
Unit Operation ◽  
A Cell

scholarly journals Young Chinese in Europe

Tourism ◽  
2020 ◽  
Vol 68 (1) ◽  
pp. 7-20
Author(s):  
Aureli Lojo
Keyword(s):  
Multivariate Analysis ◽  
Analysis Of Variance ◽  
Western Europe ◽  
Full Group ◽  
Multivariate Analysis Of Variance ◽  
Tourist Behavior ◽  
Tourist Experience ◽  
Chinese Tourists ◽  
Survey Questionnaires

Chinese tourism in Europe has tripled over the last decade to reach 6 million tourists in 2018. Understanding tourist behavior allows for improvement of the tourist experience and better management of destinations. To these ends, this study analyzes (1) the motivations, expectations and satisfaction of Chinese tourists and (2) defines the main differences between young Chinese (18-29 years old) and more mature Chinese tourists. Data is extracted from 360 survey questionnaires that were administered to tourists after their trips to Europe. Destination Spain, in Western Europe, is selected as the case study. Mean analysis, one-factor ANOVA and multivariate analysis of variance (MANOVA) have been conducted. The results show that more mature travelers have significant differences in the travel arrangements, motivations, expectations and evaluations of their trips than do younger travelers. Younger tourists chose independent trips, while the more mature ones chose either full group packages or independent trips. The younger have a wider range of motivations and preferences for activities at their destinations. New trends in Chinese tourists visiting Europe are discussed and implications for the destination are explored

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