scholarly journals University Students’ Attitudes Toward EMI in the Chinese Mainland: A Study of the Moderating Variables

2021 ◽  
Keyword(s):  
University Students ◽  
Chinese Mainland ◽  
Moderating Variables ◽  
The Chinese Mainland ◽  
Students Attitudes

The Attitudes of University Students of Batubara in Medan Towards Batubara Malay Language

2016 ◽  
Vol 13 (3) ◽  
Author(s):  
Julisah Izar ◽  
Siti Aisah Ginting
Keyword(s):  
University Students ◽  
Key Words ◽  
Positive Attitudes ◽  
Depth Interview ◽  
Students Attitudes ◽  
The University ◽  
Key Words Attitudes ◽  
Bahasa Indonesia

This study dealt with the attitudes of university students of Batubara towards Batubara Malay language. The data were collected from 20 university students of Batubara in Medan. The instruments used for collecting the data were observation sheet, questionnaire sheet and depth interview. The data were analyzed by Moleong’s theory. The findings showed that the respondents’ attitudes were: 12 (60%) negative and 8 (40%) positive. The attitudes levels of university students included in negative and positive attitudes namely in: receiving 11 (55%) negative and 9 (45%) positive, responding 12 (60%) negative and 8 positive, valuing 10 (50%) negative and 10 (50%)  positive,  organizing 12 (60%) positive and 8 (40%) negative, and internalizing values 12 (60%) negative and 8 (40%) positive. The factors influenced the university students’ attitudes were language disloyalty 12 (60%) negative and 8 (40%) positive, language pride lack 14 (70%) negative and 7 (30%) positive, in the unawareness of the norms 11 (55%) negative and 9 (45%) positive. Bahasa Indonesia is dominantly spoken by the university students of Batubara in Medan which caused they have less frequency in using their Batubara Malay language with their friends who are from same region in Medan. Key words: Attitudes, University Students of Batubara, Batubara Malay Language

scholarly journals Neuroenhancement in French and Romanian University Students, Motivations and Associated Factors

2021 ◽  
Vol 18 (8) ◽  
pp. 3880
Author(s):  
Irina Brumboiu ◽  
Alessandro Porrovecchio ◽  
Thierry Peze ◽  
Remy Hurdiel ◽  
Irina Cazacu ◽  
...  
Keyword(s):  
University Students ◽  
Prescription Drugs ◽  
Drugs Of Abuse ◽  
Beta Blockers ◽  
Cross Sectional Study ◽  
Attitudes And Beliefs ◽  
Cross Sectional ◽  
Factors Associated ◽  
Anonymous Questionnaire ◽  
Students Attitudes

This cross-sectional study aimed to determine the use of neuroenhancers, the motivations and factors associated with their use in French and Romanian university students. Students from two universities in France (Rouen and Opal Coast University) and one in Romania (Cluj-Napoca) were asked to complete a self-administered anonymous questionnaire, either online or on paper, about the use of three different categories of substance: Prescription drugs (methylphenidate, modafinil, and beta-blockers), drugs of abuse (alcohol, cannabis, cocaine, and amphetamines), and soft enhancers (coffee, vitamins, caffeine tablets, and energy drinks). In total, 1110 students were included: The users were 2.2% for prescription drugs, 4.3% for drugs of abuse, and 55.0% for soft enhancers. Students used neuroenhancement to stay awake for study (69.3%), to improve concentration (55.5%), to decrease stress (40.9%), and to improve memory (39.6%). Neuroenhancement was considered to meet expectations by 74.4% of users. The factors associated with the use of drugs of abuse were frequent binge drinking (Adjusted Odds Ratio—AOR: 6.49 [95% CI: 2.53–16.6]), smoking (AOR: 5.50 [95% CI: 2.98–10.14]), having a student job (AOR: 2.42 [95% CI 1.13–5.17]), and being male (AOR: 2.23 [95% CI:1.21–4.11]). No significant associations with eating disorders were detected for any of the three categories of substances. University students reported neuroenhancement with prescription drugs, drugs of abuse, and mainly soft enhancers. These substances were used mainly to increase the waking hours. Educational programs in universities seem to be required in order to increase student awareness of the problems caused by neuroenhancements, and to decrease the associated risks by changing students’ attitudes and beliefs.

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 A Potential Risk Index Dataset for Landfalling Tropical Cyclones over the Chinese Mainland (PRITC dataset V1.0)

2021 ◽  
Vol 38 (10) ◽  
pp. 1791-1802
Author(s):  
Peiyan Chen ◽  
Hui Yu ◽  
Kevin K. W. Cheung ◽  
Jiajie Xin ◽  
Yi Lu
Keyword(s):  
Tropical Cyclones ◽  
Potential Risk ◽  
Risk Index ◽  
Chinese Mainland ◽  
Current Version ◽  
Term Trend ◽  
The Chinese Mainland ◽  
Landfalling Tropical Cyclones ◽  
Long Term Trend

AbstractA dataset entitled “A potential risk index dataset for landfalling tropical cyclones over the Chinese mainland” (PRITC dataset V1.0) is described in this paper, as are some basic statistical analyses. Estimating the severity of the impacts of tropical cyclones (TCs) that make landfall on the Chinese mainland based on observations from 1401 meteorological stations was proposed in a previous study, including an index combining TC-induced precipitation and wind (IPWT) and further information, such as the corresponding category level (CAT_IPWT), an index of TC-induced wind (IWT), and an index of TC-induced precipitation (IPT). The current version of the dataset includes TCs that made landfall from 1949–2018; the dataset will be extended each year. Long-term trend analyses demonstrate that the severity of the TC impacts on the Chinese mainland have increased, as embodied by the annual mean IPWT values, and increases in TCinduced precipitation are the main contributor to this increase. TC Winnie (1997) and TC Bilis (2006) were the two TCs with the highest IPWT and IPT values, respectively. The PRITC V1.0 dataset was developed based on the China Meteorological Administration’s tropical cyclone database and can serve as a bridge between TC hazards and their social and economic impacts.

scholarly journals Nightlight as a Proxy of Economic Indicators: Fine-Grained GDP Inference Around Mainland China via Attention-Augmented CNN from Daytime Satellite Imagery

2021 ◽  
Vol 13 (11) ◽  
pp. 2067
Author(s):  
Haoyu Liu ◽  
Xianwen He ◽  
Yanbing Bai ◽  
Xing Liu ◽  
Yilin Wu ◽  
...  
Keyword(s):  
Remote Sensing ◽  
Remote Sensing Data ◽  
Chinese Mainland ◽  
Economic Research ◽  
Official Method ◽  
County Level ◽  
Socioeconomic Indicators ◽  
Sensing Data ◽  
Fine Grained ◽  
The Chinese Mainland

The official method of collecting county-level GDP values in the Chinese Mainland relies mainly on administrative reporting data and suffers from high costs of time, money, and human labor. To date, a series of studies have been conducted to generate fine-grained maps of socioeconomic indicators from the easily accessed remote sensing data and achieved satisfactory results. This paper proposes a transfer learning framework that regards nightlight intensities as a proxy of economic activity degrees to estimate county-level GDP around the Chinese Mainland. In the framework, paired daytime satellite images and nightlight intensity levels were applied to train a VGG-16 architecture, and the output features at a specific layer, after dimensional reduction and statistics calculation, were fed into a simple regressor to estimate county-level GDP. We trained the model with data of 2017 and utilized it to predict county-level GDP of 2018, achieving an R-squared of 0.71. Furthermore, the results of gradient visualization confirmed the validity of the proposed framework qualitatively. To the best of our knowledge, this is the first time that county-level GDP values around the Chinese Mainland have been estimated from both daytime and nighttime remote sensing data relying on attention-augmented CNN. We believe that our work will shed light on both the evolution of fine-grained socioeconomic surveys and the application of remote sensing data in economic research.

Gender Differences on Attitudes and Participation in an Extracurricular Gymnastics Course Among Greek University Students

2015 ◽  
Vol 34 (3) ◽  
pp. 424-441 ◽  
Author(s):  
Dimitrios C. Milosis ◽  
Athanasios G. Papaioannou ◽  
Theophanis A. Siatras ◽  
Miltiadis Proios ◽  
Michael Proios
Keyword(s):  
Gender Differences ◽  
University Students ◽  
Structural Equation ◽  
Male Students ◽  
Equation Modeling ◽  
Voluntary Participation ◽  
Students Attitudes ◽  
Path Structure ◽  
And Behavior ◽  
Attitudes And Behavior

The aims of the study were (a) to test the effectiveness of the theory of planned behavior (TPB) to predict Greek university students’ voluntary participation in an extracurricular gymnastics course, and (b) to evaluate gender differences. Two hundred sixty-three (127 female, 136 male) students participated in the study. Students’ attitudes, intention, and PBC were measured with a questionnaire and their attendance in the course was recorded by the teacher. Results from the MANOVA conducted showed that females had higher scores compared with males in all observed variables. Results from the structural equation modeling (SEM) employed supported the usefulness of TPB to explain students’ attitudes and behavior toward extracurricular physical activities (PA). Differences also emerged on path structure of the relationships among the variables.

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