scholarly journals Profiles of Malaria Research in Portugal

2019 ◽  
Vol 32 (3) ◽  
pp. 62-87
Author(s):  
Ana Ferreira ◽  
Ana Lúcia Teixeira
Keyword(s):  
Cluster Analysis ◽  
Knowledge Economy ◽  
Web Of Science ◽  
Multiple Correspondence Analysis ◽  
Malaria Research ◽  
Global Science ◽  
And Cluster Analysis ◽  
Scientific System ◽  
Biomedical Fields ◽  
Profit Potential

Synergies between globalization and knowledge economy were suggested to direct biomedical research towards economically-interested activities. In this context, research in malaria, a disease endemic to poverty, may be at a paradoxical stance. This study addresses this issue assessing whether malaria research is driven by the accumulation of economic and/or other forms of capital. Drawing upon academic and epistemic capitalism, malaria research is characterized through the analysis of all Web of science-indexed publications involving Portuguese organizations (1900-2014; n=467). First, data was systematized by content and bibliometric analyses. Subsequently, multiple correspondence analysis revealed a bi-dimensional landscape (who’s publishing; what’s published) and cluster analysis identified three profiles (beginners; local appropriations; global science). This study reveals the construction of Portugal’s scientific system and unveils the assimilation of dominant modes of organizing, doing and thinking despite malaria’s research low profit potential. Extending this approach to other biomedical fields can unravel the dimensions underlying science’s (re)construction.

scholarly journals Patterns of Italian high school and university students’ attitudes towards physics: an analysis based on semiotic-cultural perspective

2021 ◽  
Author(s):  
Italo Testa ◽  
Raffaele De Luca Picione ◽  
Umberto Scotti di Uccio
Keyword(s):  
High School ◽  
Cluster Analysis ◽  
University Students ◽  
Correspondence Analysis ◽  
Multiple Correspondence Analysis ◽  
Psychological Theory ◽  
Cultural Perspective ◽  
Undergraduate Level ◽  
Students Attitudes ◽  
And Cluster Analysis

AbstractThe purpose of this study was to analyse Italian high school and university students’ attitudes towards physics using the Semiotic Cultural Psychological Theory (SCPT). In the SCPT framework, attitudes represent how individuals interpret their experience through the mediation of generalized meaning with which they are identified. A view-of-physics questionnaire was used as an instrument to collect data with 1603 high school and university students. Data were analysed through multiple correspondence analysis and cluster analysis. We identified four generalized meanings of physics: (a) interesting and important for society; (b) a quite interesting, but badly taught subject at school and not completely useful for society; (c) difficult to study and irrelevant for society; and (d) a fascinating and protective niche from society. The identified generalized meanings are significantly correlated to the choice to study physics at undergraduate level and to the choice of attending physics-related activities in high school. Implications for research are discussed.

scholarly journals International Trade and Sustainability: Bibliometric and Cluster Analysis

2020 ◽  
Vol 12 (17) ◽  
pp. 6816
Author(s):  
Manuel Jiménez-Almazán ◽  
Juan Uribe-Toril ◽  
José Luis Ruiz-Real
Keyword(s):  
Cluster Analysis ◽  
International Trade ◽  
Web Of Science ◽  
Scientific Literature ◽  
Research Literature ◽  
Research Trends ◽  
Special Importance ◽  
Holistic View ◽  
Agriculture Industry ◽  
And Cluster Analysis

This article studies the scientific research literature that focuses on the terms related to international trade and sustainability. For this, a bibliometric analysis using the Web of Science database and a cluster analysis on the results obtained carried out. With regard to the results, it can be pointed out that, despite being closely linked, the terms have opposing characteristics and are included in a wide variety of research trends such as those related to agriculture, industry or carbon footprint. This article is of special importance for researchers who want to have a holistic view of international trade and sustainability by identifying its main indicators in the scientific literature.

scholarly journals Clusters of religiosity of Portuguese undergraduate youth

1970 ◽  
Author(s):  
José Pereira Coutinho
Keyword(s):  
Cluster Analysis ◽  
Undergraduate Students ◽  
Correspondence Analysis ◽  
Religious Beliefs ◽  
Public Universities ◽  
Multiple Correspondence Analysis ◽  
Beliefs And Practices ◽  
And Cluster Analysis ◽  
Phd Thesis

This article presents results of the author’s PhD thesis based on religious beliefs and practices, and attitudes of towards marriage, life, and sexuality. The sample included 500 undergraduate students from public universities of Lisbon. Applying multiple correspondence analysis and cluster analysis to these beliefs, practices, and attitudes, three clusters or types of religiosity were produced: nuclear Catholics, intermediate Catholics, and non-Catholics. These clusters were characterised in terms of religious socialisation, as well as of non-Catholic beliefs and practices, and aspects of life. When crossed with these last items, the clusters were renamed respectively: socio-centred orthodox, ambitious heterodox, activist and hedonist non-believers.

scholarly journals Socio-economic and technological typology of avocado cv. Hass farms from Antioquia (Colombia)

2020 ◽  
Vol 50 (7) ◽  
Author(s):  
Silvana Builes Gaitan ◽  
Marcela Duque Ríos
Keyword(s):  
Cluster Analysis ◽  
Food Security ◽  
Technical Assistance ◽  
Multiple Correspondence Analysis ◽  
Farm Size ◽  
Crop Biodiversity ◽  
Qualitative Variables ◽  
And Cluster Analysis ◽  
Cluster 2 ◽  
Farm Types

ABSTRACT: A typology of avocado cv. Hass farms was constructed based on information collected from productive units in Antioquia, Colombia. The study aimed to provide key information about the farms for those involved in the design of programs and public policies directed to growers. The data were scrutinized through Multiple Correspondence Analysis (MCA) and Cluster Analysis. The sample was made up of 214 growers of the crop. Quantitative and qualitative variables were employed for the MCA, which rendered 40 dimensions, out of which 16 accounted for 70% of the total inertia (variance) found in the data. These 16 dimensions were used as input for the Cluster Analysis, which provided the following results: 52%, 32% and 15% of the farms were located in Clusters 1, 2 and 3, respectively. The identified farm types can be associated to peasant (Cluster 1) and commercial (Cluster 3) agricultural schemes, plus a transition between them (Cluster 2). The most discriminating variables regarding such categorization were: farm size, farm registry at ICA (Colombian Agricultural Institute), Avocado cv. Hass yield, labor source, presence of crops other than avocado, existence of formal commercial alliances and technical assistance type. The percentage of farmers belonging to grower organizations was high in the three clusters. Growers in Clusters 3 and 2 had established formal commercial alliances which enabled them to access better sale prices for the crop. A trend towards establishing cv. Hass as a monocrop is observed, which may threaten both crop biodiversity and the food security of peasant growers.

scholarly journals Measuring eating habits and physical activity in children: Synthesis of information using indexes and clusters / Medición de hábitos saludables y no saludables en niños: Síntesis de la información utilizando indicadores y conglomerados

2018 ◽  
Vol 9 (2) ◽  
pp. 264-276
Author(s):  
Maria Teresa Varela Arévalo ◽  
Andrés Felipe Ochoa Muñoz ◽  
José Rafael Tovar Cuevas
Keyword(s):  
Physical Activity ◽  
Cluster Analysis ◽  
Eating Habits ◽  
Multiple Correspondence Analysis ◽  
Overweight And Obesity ◽  
Self Report ◽  
Factorial Method ◽  
Child Overweight ◽  
Digital Entertainment ◽  
And Cluster Analysis

Abstract Assessing healthy habits related to child overweight and obesity is important concerning the prevention efforts. A variety of measures to assess eating habits and physical activity are available, being the self-report frequency questionnaires the most common and cost-efficient. Nevertheless, those questionnaires generate a large amount of data. Considering this, the purpose of the study was to develop a proposal to synthesize information from the Child Overweight/Obesity Healthy related Habits Questionnaire (CHS-SO), through the creation of indexes and a combination of a factorial method and cluster analysis. Nine indexes were created to assess eating habits, physical activity, and digital entertainment use, allowing to classify children into healthy or unhealthy in each index. The CHS-SO was administered to 239 children between 8 and 12 years old from Cali, Colombia. Data obtained from the indexes were analyzed using a multiple correspondence analysis and cluster analysis. Results show that most of the children have healthy eating habits, physical activity was lower in girls and digital entertainment use was high.Resumen Evaluar los hábitos de salud relacionados con el sobrepeso y la obesidad infantil resulta fundamental para la prevención de estas problemáticas. Existe una amplia variedad de instrumentos para medir dichos hábitos, siendo más comunes y costo-eficientes los cuestionarios de autorreporte, sin embargo estos generan información demasiado extensa y difícil de analizar. Por tanto, este estudio tuvo como objetivo desarrollar una propuesta de síntesis de la información obtenida del  Cuestionario de Hábitos de Salud relacionados con el Sobrepeso/Obesidad Infantil (CHS-SO), a partir de la construcción de indicadores de hábitos de alimentación, de actividad física y de consumo de entretenimiento digital que permitan clasificar a los niños como saludables o no saludables. Participaron 239 niños y niñas de 8 a 12 años de edad, quienes completaron el CHS-SO. La combinación del análisis de correspondencias múltiples con el de conglomerados arrojó dos clústers. Los hábitos de alimentación fueron saludables en la mayoría de los niños, sin embargo fueron identificadas diferencias en función del sexo y el nivel socioeconómico. Por el contrario, los dos hábitos menos saludables fueron el comer mientras se emplean dispositivos de entretenimiento digital y el tiempo destinado a estos últimos. 

scholarly journals Class and everyday media use

2021 ◽  
Vol 42 (s3) ◽  
pp. 129-149
Author(s):  
Jan Fredrik Hovden ◽  
Lennart Rosenlund
Keyword(s):  
Cluster Analysis ◽  
Generational Differences ◽  
Social Space ◽  
Media Use ◽  
Multiple Correspondence Analysis ◽  
Class Differences ◽  
Multifactor Analysis ◽  
Contemporary Media ◽  
And Cluster Analysis ◽  
Media Practices

Abstract In this article, we consider how contemporary media use is structured by social class, following the theoretical and methodical framework derived from Bourdieu's book Distinction, published in 1984, with a detailed study of everyday use of media platforms, brands, and content among Norwegian citizens (N = 2,064). First, we analyse how such media use varies in the overall social space using multiple correspondence analysis. Second, we independently explore the main differences and groupings of media practices, combining multifactor analysis and cluster analysis. While identifying important gender and generational differences, this study clearly shows how media use inside both younger and older generations are marked by class differences, which we argue demonstrates the fundamental and continuing importance of class for understanding mediated lifestyles.

scholarly journals The Research Hotspot and Path Evolution of Big Data in Healthcare Industry: Visualized Analysis Based on Cite Space

CONVERTER ◽  
2021 ◽  
pp. 788-803
Author(s):  
Chengke Zhu, Xiaofeng Zhao
Keyword(s):  
Cluster Analysis ◽  
Big Data ◽  
Web Of Science ◽  
Healthcare Industry ◽  
Research Status ◽  
The Core ◽  
And Cluster Analysis ◽  
Application Fields ◽  
Authorship Analysis

Along with the swift development of big data, the application fields of big data have become more and more broad, as well as the fusing of big data and healthcare. In this paper, CiteSpace, the bibliometrics software, was used for analyzing the research status and hotspots of big data in healthcare fields. Taking big data and healthcare as the keywords, the core database of Web of Science from 2011 to 2020 has been retrieved. According to author/country/organization co-authorship analysis and author/journal/reference co-cited analysis, the research status of big data in healthcare was discussed. Through the keywords co-occurrence network and cluster analysis, research hotspot and path evolution of big data in healthcare were also studied.

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