Western Studies show that father involvement is predictive of adolescent development; however, there are few studies that demonstrate this relationship in Chinese cultures, including Taiwan. The purpose of this study is to examine the impact of father involvement on adolescents' development in areas of academic achievement, self‐esteem, internalizing, and externalizing behaviors in Taiwan. This study utilized dyadic data of 1043 10th graders from wave 5 of a longitudinal study on adolescent development in Taiwan. The study utilized student reports of father involvement, child academic achievement, externalizing behaviors, internalizing behaviors, and self‐esteem. Structural equation modeling results indicate father involvement significantly predicts child academic achievement, externalizing behaviors, internalizing behaviors, and self‐esteem. Gender analysis shows that male adolescents exhibited more externalizing behaviors, whereas female adolescents exhibited more internalizing behaviors. The findings of this study provide evidence that father involvement is important for the overall wellbeing of adolescents in Chinese cultures.

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The electrocardiogram (ECG) signal may mix various kinds of noises while gathering and recording. Wavelet thresholding de-noising method based on discrete wavelet transform (DWT) proposed by Donoho et al. is often used in de-noising of ECG signal. According to the defects of Donoho's method in de-noising of ECG signal, this paper proposes an improved thresholding de-noising method based on Donoho's method. The advantage of the improved de-noising method is that it may not only remain the geometrical characteristics of the original ECG signal and keep the amplitudes of various ECG waveforms efficiently, but also suppress impulsive noise to some extent. Furthermore, the traditional wavelet thresholding de-noising method causes Pseudo-Gibbs phenomena in Q and S waves of ECG signal due to DWT. In order to suppress Pseudo-Gibbs phenomena in Q and S waves, a new de-noising method combining above improved thresholding with the translation-invariant wavelet transform is proposed in this paper. The experimental results indicate that the proposed methods in the paper are better than traditional wavelet thresholding de-noising methods in aspects of remaining geometrical characteristics of ECG signal and the signal-to-noise ratio (SNR).

Frequency, is to describe the frequency of periodic movement of the physical quantity, easy to transmit, anti-interference ability, many engineering measurements are related to frequency, such as sound frequency, mechanical vibration, measurement speed [1] .With the advance of the digital process, the traditional frequency-based circuit and timing circuit design of the frequency meter in the speed, accuracy and other aspects of the trend gradually, but was based on ultra-large-scale integrated circuit technology developed from the digital frequency meter to replace it on a large scale. Digital frequency meter can not only solve the problem of low efficiency of analog circuit information processing and transmission, but also improve the accuracy of frequency measurement [2] . Digital frequency meter is the use of digital circuits can be achieved on the cyclical changes in the signal frequency measurement of the instrument can be used to measure sine wave, rectangular wave, triangular wave and sharp pulse and other periodic signal frequency [3] .At present, there are many ways to measure the frequency of the frequency meter. Commonly used methods include interpolation method, cursor method, precision frequency measurement method, frequency difference multiplication method, phase comparison method, direct frequency measurement method and direct measurement method. Interpolation method and cursor method for analog circuits, the circuit design is complex, poor stability [4][5] . Frequency difference method is mainly used for frequency stability measurement, anti-jamming performance is poor [6] . Equal precision frequency measurement method is very high accuracy, fast operation, but most of its use of the chip is a programmable logic device, programming more complex [7] . Phase comparison method is mainly used for frequency accuracy and stability measurement, measurement accuracy by the hardware equipment constraints [8] . Based on the single-chip digital frequency meter commonly used frequency measurement method has direct frequency measurement method and direct measurement method, the direct measurement of the frequency range is limited, can only measure low frequency [9] . Direct frequency measurement is also limited by the frequency range, can only measure high frequency [10] . This paper designs a digital frequency meter based on C8051F020 single chip microcomputer. The frequency measurement method of digital frequency meter adopts the direct frequency measurement method and the direct