Social Capital and Technological Literacy in Taiwan

Abstract

The burgeoning interest in social capital within the technology community represents a welcome move towards a concern for the social elements of technological adaptation and capacity. Since technology plays an ever larger role in our daily life, it is necessary to articulate social capital and its relationship to technological literacy. A nationwide data was collected by area sampling, and position generator was used to measure social capital. Regression model was constructed for technological literacy. Age, gender, education, income, web access, and social capital were included as independent variables. The results show that age, gender, education, web access, and social capital were good predictors of technological literacy. It is concluded that social capital is helpful in coping with rapid technological change. Theoretical and empirical implications and future research are discussed.

Research on the Sampling Frequency’s Range to Improve the Precision of All-Phase FFT Phase Measurement

“…And through simulation experiment, this deduced range is verified. This paper also points that apFFT can acquire the high precision of phase measurement in a relatively wide range (literature [12] points that the accuracy is improved in levels compared with traditional FFT phase measurement). This means that the hardware cost (as data acquisition equipment, A / D conversion rate, and memory and so on) can be reduced by implementing apFFT phase measurement in specific project implementation, which has a higher practical value.…”

“…To further improve the precision of all-phase FFT phase measurement, this paper takes advantage of the properties of apFFT phase measurement analysis in literature [9][10][11][12] and deeply deduce the distribution range of sampling frequency. And through simulation experiment, this deduced range is verified.…”

“…In order to overcome the deficiency of FFT phase measurement, literature [9] proposes a novel spectrum analysis method of all-phase FFT (apFFT), and the excellent property of all-phase FFT restraining spectral leakage is mathematically proved in literature [10], and also apFFT 's property of "phase invariant" is strictly proved in literature [11,12]. The "phase invariant" means that the sampling frequency needn't to be set to an integer multiple of signal frequency, and the value of signal phase can be directly measured without any additional correcting spectrum operations, overcoming the defects brought by 'non synchronous sampling' of FFT.…”

Adolescent pursuit of health information online during the COVID-19 pandemic: The roles played by eHealth literacy and psychological distress

“…In addition, previous studies have positively associated individual social capital with health information self-efficacy, the scope of health information sources and intentions to pursue health information (Kim et al, 2015 ). Social capital has also been shown to have a positive effect on technological literacy (Yang et al, 2012 ). These results underscore the importance of strengthening individual social capital to enhance eHealth literacy.…”