scholarly journals Three decades of gender and education differentials in attitudes toward divorce in Taiwan, 1985–2015

2021 ◽  
pp. 1-18
Author(s):  
Yi-Lin Chiang ◽  
Hyunjoon Park
Keyword(s):  
Gender And Education ◽  
Education Differentials

scholarly journals Personalized Augmented Reality Based Tourism System: Big Data and User Demographic Contexts

2021 ◽  
Vol 11 (13) ◽  
pp. 6047
Author(s):  
Soheil Rezaee ◽  
Abolghasem Sadeghi-Niaraki ◽  
Maryam Shakeri ◽  
Soo-Mi Choi
Keyword(s):  
Big Data ◽  
Augmented Reality ◽  
User Study ◽  
Spatial Information ◽  
Ease Of Use ◽  
Tourist Attraction ◽  
Gender And Education ◽  
Time Distance ◽  
Data Source ◽  
The Right

A lack of required data resources is one of the challenges of accepting the Augmented Reality (AR) to provide the right services to the users, whereas the amount of spatial information produced by people is increasing daily. This research aims to design a personalized AR that is based on a tourist system that retrieves the big data according to the users’ demographic contexts in order to enrich the AR data source in tourism. This research is conducted in two main steps. First, the type of the tourist attraction where the users interest is predicted according to the user demographic contexts, which include age, gender, and education level, by using a machine learning method. Second, the correct data for the user are extracted from the big data by considering time, distance, popularity, and the neighborhood of the tourist places, by using the VIKOR and SWAR decision making methods. By about 6%, the results show better performance of the decision tree by predicting the type of tourist attraction, when compared to the SVM method. In addition, the results of the user study of the system show the overall satisfaction of the participants in terms of the ease-of-use, which is about 55%, and in terms of the systems usefulness, about 56%.

scholarly journals Prevalence of Mild Cognitive Impairment in Latin America and the Caribbean: A Systematic Review

2020 ◽  
Vol 4 (Supplement_1) ◽  
pp. 897-898
Author(s):  
Fabiana Ribeiro ◽  
Ana Carolina Teixeira-Santos ◽  
Anja Leist
Keyword(s):  
Systematic Review ◽  
Latin America ◽  
Cognitive Impairment ◽  
Mild Cognitive Impairment ◽  
English Language ◽  
Prevalence Data ◽  
Gender And Education ◽  
Precise Diagnosis ◽  
Normal Ageing ◽  
The Caribbean

Abstract Background. The population of Latin America and the Caribbean (LAC) is ageing rapidly, presenting the highest prevalence rates of dementia in the world. In this context, mild cognitive impairment (MCI) is an intermediate condition between normal ageing and dementia. However, very few studies verified the prevalence of MCI in LAC countries; earlier global systematic reviews only considered prevalence reports published in English language. Method. We conducted a systematic review to evaluate the prevalence of MCI in LAC countries and to explore the factors associated with MCI (i.e., age, gender, and education). A database search was conducted in February 2020 using PubMed, Web of Science, Scopus, Lilacs, SciELO, and EMBASE, for population-or community-based studies with MCI data for countries in LAC, published in English, Spanish, or Portuguese language. From k=2,168 identified and k=1,684 screened studies, only articles were selected that included subjects with a precise diagnosis of MCI. The studies were qualitatively assessed using the JBI critical appraisal checklist for studies reporting prevalence data tool. Results. A total of nine studies met the criteria, published between 2007 and 2019, including a total of 17,812 participants in nine countries Brazil, Mexico, Argentina, Colombia, Peru, Cuba, Dominican Republic, Venezuela, and Costa Rica. Estimates for MCI prevalence ranged from 1.2% to 34%, with most estimates between 1.2% and 6.45%. Estimates differed by age group, gender, and educational level. Discussion. This is the first systematic review of the prevalence of MCI in LAC countries, considering only high-quality studies adopting rigorous diagnostic criteria.

scholarly journals Post-Industrial Tourism as a Driver of Sustainable Development

2021 ◽  
Vol 13 (15) ◽  
pp. 8145
Author(s):  
Aleksandra Kuzior ◽  
Oleksii Lyulyov ◽  
Tetyana Pimonenko ◽  
Aleksy Kwilinski ◽  
Dariusz Krawczyk
Keyword(s):  
Sustainable Development ◽  
Tourism Development ◽  
Tourism Industry ◽  
Digital Marketing ◽  
Gender And Education ◽  
Development Goals ◽  
The Difference ◽  
Post Industrial ◽  
The Impact ◽  
Industrial Tourism

The accepted Sustainable Development Goals aim at reorienting the tourism industry to sustainable tourism and enhancing post-industrial tourism. In this case, it is necessary to identify the statistically significant determinants which affect post-industrial tourism development. In this paper, we aim to analyse: (1) the impact of economic and environmental dimensions, and of digital marketing on supporting post-industrial tourism development and (2) the difference between attitude to post-industrial tourism on the gender, age, and education dimensions and digital channels on post-industrial tourism development. The data was collected from questioning 2334 respondents during April–November 2020. The study applied the following methods: frequencies, percentages, t-test, and one-way ANOVA and multiple regression analysis. The findings confirmed the statistically significant impact of the economic and environmental dimensions, as well as digital marketing on post-industrial tourism development. The results of the analysis justified that digital marketing was a catalysator of post-industrial tourism development. In addition, the findings confirmed that there is no difference in attitudes towards post-industrial tourism with respect to the dimensions of age, gender, and education.

scholarly journals Adoption and Dis-Adoption of Sustainable Agriculture: A Case of Farmers’ Innovations and Integrated Fruit Fly Management in Kenya

Agriculture ◽  
2021 ◽  
Vol 11 (4) ◽  
pp. 338
Author(s):  
Charity M. Wangithi ◽  
Beatrice W. Muriithi ◽  
Raphael Belmin
Keyword(s):  
Management Practices ◽  
Household Head ◽  
Fruit Fly ◽  
Production Costs ◽  
Sub Saharan Africa ◽  
Bactrocera Dorsalis ◽  
Major Threat ◽  
Gender And Education ◽  
Sub Saharan ◽  
Indigenous Methods

The invasive fruit fly Bactrocera dorsalis poses a major threat to the production and trade of mango in sub-Saharan Africa. Farmers devise different innovations to manage the pest in an attempt to minimize yield loss and production costs while maximizing revenues. Using survey data obtained from Embu County, Kenya, we analyzed farmers’ knowledge and perception as regards the invasive fruit fly, their innovations for the management of the pest, and the determinants of their adoption and dis-adoption decisions of recently developed and promoted integrated pest management (IPM) technologies for suppression of the pest. The results show that farmers consider fruit flies as a major threat to mango production (99%) and primarily depend on pesticides (90%) for the management of the pest. Some farmers (35%) however use indigenous methods to manage the pest. Though farmers possess good knowledge of different IPM strategies, uptake is relatively low. The regression estimates show that continued use of IPM is positively associated with the gender and education of the household head, size of a mango orchard, knowledge on mango pests, training, contact with an extension officer, and use of at least one non-pesticide practice for fruit fly management, while IPM dis-adoption was negatively correlated with the size of the mango orchard, practice score and use of indigenous innovations for fruit fly management. We recommend enhancing farmer′s knowledge through increased access to training programs and extension services for enhanced adoption of sustainable management practices for B. dorsalis.

scholarly journals Effects of Industry Growth and Decline on Gender and Education Wage Gaps in the 1980S

ILR Review ◽  
2005 ◽  
Vol 58 (4) ◽  
pp. 552-570 ◽  
Author(s):  
Paul J. Devereux
Keyword(s):  
Longitudinal Data ◽  
Wage Growth ◽  
Wage Gaps ◽  
Industry Growth ◽  
Industrial Composition ◽  
Relative Wages ◽  
Gender And Education ◽  
The Individual ◽  
Demand Changes

The author uses longitudinal data to study the effects of industry growth and decline on wage changes between 1976 and 2001. He finds that over this period, workers who were initially in industries that subsequently expanded enjoyed faster wage growth than other workers. Moreover, wage growth was strongly related to employment changes in industries the individual was likely to move to: that is, workers' wage growth tended to be relatively fast if their skills suited them for entry into rapidly expanding industries, whether or not they actually moved between industries. The author uses the estimates to evaluate the effects of industry demand changes on within-cohort relative wages during the 1980s. He finds that changes in industrial composition can account for most of the within-cohort increase in the wages of women relative to men and about 30–50% of the increase in the relative wages of more educated groups within cohorts.

scholarly journals Age, gender, and education norms on the CERAD neuropsychological battery in the oldest old

Neurology ◽  
2006 ◽  
Vol 67 (6) ◽  
pp. 1006-1010 ◽  
Author(s):  
M. S. Beeri ◽  
J. Schmeidler ◽  
M. Sano ◽  
J. Wang ◽  
R. Lally ◽  
...  
Keyword(s):  
Oldest Old ◽  
Neuropsychological Battery ◽  
Gender And Education
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