scholarly journals The Impact of Children’s Long-Term Participation in STEM Clubs on Their Attitudes towards STEM Subjects

Author(s):  
Cem Kagar ◽  
Teslime Kagar

In this report, we investigated the impact of after-school STEM clubs on children’s attitudes to STEM-related subjects. 236 children aged 8-12 took part in this study. For the purpose of this study, a quantitative research method was adopted where a survey prior to the STEM activities and at the end of 30 weeks of the after-school club have been used to make sense of children’s perspectives on STEM-related subjects. The study also explored whether the age and gender of the children would influence their attitudes towards these subjects.Keywords: STEM, Engineering, Cross-curricular, Computer Science, Primary education

2013 ◽  
Vol 141 (3-4) ◽  
pp. 198-202
Author(s):  
Marija Djuric ◽  
Djordje Popovic ◽  
Danijela Djonic

Introduction. In contrast to numerous reports on long-term psychological consequences of disasters, the literature addressing the acute impact of intentional collective disaster is limited. Objective. This research aimed to examine the impact of the bombing campaign on the behavior of people living in Belgrade during the air attacks in 1999. Methods. The questionnaire was designed and administered to 231 participants. Psychological distress symptoms were assessed using the Symptom Checklist-Revised (SCL-90-R). Results. Participants reported fear and anger as dominant feelings, and the majority of them complained about sleep disturbance, body weight change, and loss of interest for sexual activity. Regression analysis of the scores of the SCL-90-R revealed significant effects of the duration of living under the stress of air attacks, age and gender of the participants and living in the risky areas of the city, upon the scores on Anxiety and Depression dimension. Conclusion. The results of the study contributed to our understanding of the processes through which individuals pass during a long lasting bombardment. It can be beneficial for mental health services in evaluating which actions of care and support could be most suitable.


Author(s):  
Orit Twito ◽  
Simona Grozinsky-Glasberg ◽  
Carlos Benbassat ◽  
Sigal Llevy ◽  
Gideon Bachar ◽  
...  

Author(s):  
Mohammad Adrian ◽  
Santi Rahmawati

This reasearch is conducted on MSME (Micro Small Medium Enterprises) that are participated in the MSME Syari’ah Mentoring Program by Academition and Practitioners (PUSPA) organized by Bank Indonesia in Bandung. MSME who participated in PUSPA program 2016 is MSME that included in necessity entrepreneur where MSME operated just to fullfil the life necessities.The purpose of this reasearch was to investigate the influence of the business mentoring on the MSME performance in PUSPA program 2016.Researcher used quantitative research method. Data were analyzed using simple regression analysis and descriptive-causal analysis.The result showed that business mentoring affect the performance of MSME that participated in PUSPA Program 2016. Based on the calculation, coefficient of determination (R2) can be seen the influence of business mentoring variable (X) on the performance (Y) is 74%. While the remaining 26% is influenced by other factors such as entrepreneurship competence and human resources.  


2020 ◽  
Vol 4 (Supplement_1) ◽  
pp. 176-176
Author(s):  
Hiroto Yoshida ◽  
Yuriko Kihara

Abstract This study examined the impact of frailty on medical and long-term care expenditures in an older Japanese population. The subjects were those aged 75 years and over who responded to the survey (March 2018) in Bibai, Hokkaido, Japan (n=1,203) and have never received certification of long-term care insurance at the survey. We followed up 867 individuals (72.1%) until the end of December 2018 (10 month-period). We defined frailty as a state in performing 4 items and over of 15 items which were composed of un-intentional weight loss, history of falls, etc. Among 867 subjects, 233 subjects (26.9%) were judged to be frailty group, and 634 subjects (73.1%) non-frailty group. We compared period to the new certification of long-term care insurance (LTCI), accumulated medical and long-term care expenditures adjusted for age and gender between the two groups during the follow-up period. Cox proportional hazard models were used to examine the association between baseline frailty and the new certification of LTCI. The relative hazard ratio (HR) was higher in frailty group than non-frailty group (HR=3.51, 95% CI:1.30-9.45, P=.013). The adjusted mean accumulated medical and long-term care expenditures per capita during the follow-up were significantly (P=.002) larger for those in the frailty group (629,699 yen), while those in the non-frailty group were 450,995 yen. We confirmed strong economic impact of frailty in the elderly aged 75 or over in Japan.


2015 ◽  
Vol 781 ◽  
pp. 3-6
Author(s):  
Sophonwit Somchai ◽  
Jirun Potinakkha ◽  
Nararat Ruangchaijatupon ◽  
V. Prasertchareonsuk ◽  
M. Leeprakobboon ◽  
...  

This paper shows the feasibility analysis of the 4th generation (4G) telecommunication system on 800-900 MHz spectrum. It applies the Long-Term Evolution (LTE) wireless communication and makes a feasibility design of cell site placement. An academic community is selected as a studied site because the high usage of advanced communication technologies. Due to the variety of population density, age, and gender, Khon Kaen University is chosen. This paper also suggests the model for cell site installation and cell site positions in Khon Kaen University area.


Electronics ◽  
2020 ◽  
Vol 9 (2) ◽  
pp. 374 ◽  
Author(s):  
Sudhanshu Kumar ◽  
Monika Gahalawat ◽  
Partha Pratim Roy ◽  
Debi Prosad Dogra ◽  
Byung-Gyu Kim

Sentiment analysis is a rapidly growing field of research due to the explosive growth in digital information. In the modern world of artificial intelligence, sentiment analysis is one of the essential tools to extract emotion information from massive data. Sentiment analysis is applied to a variety of user data from customer reviews to social network posts. To the best of our knowledge, there is less work on sentiment analysis based on the categorization of users by demographics. Demographics play an important role in deciding the marketing strategies for different products. In this study, we explore the impact of age and gender in sentiment analysis, as this can help e-commerce retailers to market their products based on specific demographics. The dataset is created by collecting reviews on books from Facebook users by asking them to answer a questionnaire containing questions about their preferences in books, along with their age groups and gender information. Next, the paper analyzes the segmented data for sentiments based on each age group and gender. Finally, sentiment analysis is done using different Machine Learning (ML) approaches including maximum entropy, support vector machine, convolutional neural network, and long short term memory to study the impact of age and gender on user reviews. Experiments have been conducted to identify new insights into the effect of age and gender for sentiment analysis.


Organizacija ◽  
2013 ◽  
Vol 46 (2) ◽  
pp. 47-54 ◽  
Author(s):  
Anton Peršič ◽  
Mirko Markič

The aim of our research was to study the impact and purpose of the reporting on socially responsible conduct on the success of corporate operations. The data and information were gathered with the quantitative research method, whereas the instrument for gathering them was a questionnaire that was distributed among 759 large and medium sized organisations from the field of market services in the Republic of Slovenia. We have established that activities aimed at socially responsible conduct are directly connected with the success of corporate operations, especially the revenue (p = 0.001), the profit of a company (p = 0.000), operational growth (p = 0.007) and operational economy (p = 0.002), and are typical for organizations with a larger number of employees (p = 0.032). In this regard, the real estate and construction market activities received the lowest scores. Research results provide theoretical as well as practical benefits for everyone dealing with the planning, implementation and control of sustainable development, as well as socially responsible conduct within the organization.


2004 ◽  
Vol 10 (5) ◽  
pp. 678-685 ◽  
Author(s):  
Alexander Choukèr ◽  
André Martignoni ◽  
Martin Dugas ◽  
Wolfgang Eisenmenger ◽  
Rolf Schauer ◽  
...  

2008 ◽  
Vol 3 (2) ◽  
pp. 165-195 ◽  
Author(s):  
UNTO HÄKKINEN ◽  
PEKKA MARTIKAINEN ◽  
ANJA NORO ◽  
ELINA NIHTILÄ ◽  
MIKKO PELTOLA

AbstractThis study revisits the debate on the ‘red herring’, i.e. the claim that population aging will not have a significant impact on health care expenditure (HCE), using a Finnish data set. We decompose HCE into several components and include both survivors and deceased individuals into the analyses. We also compare the predictions of health expenditure based on a model that takes into account the proximity to death with the predictions of a naïve model, which includes only age and gender and their interactions. We extend our analysis to include income as an explanatory variable. According to our results, total expenditure on health care and care of elderly people increases with age but the relationship is not as clear as is usually assumed when a naïve model is used in health expenditure projections. Among individuals not in long-term care, we found a clear positive relationship between expenditure and age only for health centre and psychiatric inpatient care. In somatic care and prescribed drugs, the expenditure clearly decreased with age among deceased individuals. Our results emphasize that even in the future, health care expenditure might be driven more by changes in the propensity to move into long-term care and medical technology than age and gender alone, as often claimed in public discussion. We do not find any strong positive associations between income and expenditure for most non-LTC categories of health care utilization. Income was positively related to expenditure on prescribed medicines, in which cost-sharing between the state and the individual is relatively high. Overall, our results indicate that the future expenditure is more likely to be determined by health policy actions than inevitable trends in the demographic composition of the population.


2020 ◽  
Vol 6 (2) ◽  
pp. 87-91
Author(s):  
Hartiwi Prabowo ◽  
Rini Kurnia Sari ◽  
Stephanie Bangapadang

The research conducted is to know the impact of social network marketing on consumer purchase intention and consumers who become research are active students at private universities in Jakarta, and how social network marketing also affect consumer engagement (as moderate variable). The research method used in this research is quantitative research method. A method of data collection used in this research is a questionnaire distributed to 119 university students. The results of this study showed that social network marketing has a strong and significant impact oncustomer engagement, customer engagementhas a strong and significant impact on consumer purchase intention, social network marketing has a strong and significant impact consumer purchase intention, and also there is a significant impact from social network marketing on consumer purchase intention through consumer engagement.


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