Foreign language listening comprehension anxiety and anxiety management strategies

textBy reviewing previous studies, this report aims to explore foreign language listening anxiety and provide a description of anxiety management strategies. There are three parts in the literature review: First, the report discusses the definition and process of listening comprehension; second, it investigates the concept and components of foreign language anxiety and its measurement and impact; finally, the literature review focuses on the importance of foreign language listening comprehension anxiety, and lists its possible sources and influences. In the pedagogical implication portion, this report lists nine listening anxiety reducing strategies developed from the findings in the literature review. By incorporating these strategies into language learning, learners can alleviate the negative influence from foreign language listening anxiety.Foreign Language Educatio

Healthcare Information and the Utilization of Pap-smear Testing amongst Taiwanese Women

This study is to investigate the determinants of healthcare information amongst women in Taiwan aged between 25 and 69 years, and the association with cervical cancer screening.A two-stage estimation model was adopted for this investigation. In the first stage, the determinants of healthcare information were estimated by the OLS method, with the predicted values of the healthcare information then being linked to the decision to undergo Pap-smear testing. The nationwide survey dataset was obtained from the 2002‘Health Promotion of Knowledge, Attitudes and Practice' (HPKAP) in Taiwan, provided by the Bureau of Health Promotion. A total of 9,106 individuals were included in the analysis. The results reveal that the variations in the level of healthcare information are an important contributory factor to the utilization of cervical cancer screening in Taiwan. Therefore, in addition to providing free screening under the NHI, it is important for the healthcare authorities to place greater effort into strengthening the knowledge and information on cervical cancer screening and Pap-smear testing, for those who are currently less informed, so as to enhance the overall efficiency of the screening program.Health information; Pap-smear testing; Cervical cancer; National Health Insurance; Taiwan

Interpretation of Personal Nouns in Japanese and Chinese : Possibility of Omitting Demonstrative Adjectives

This study aimed to determine whether the interpretation of personal nouns and possibility of omitting demonstrative adjectives are affected by the type of predication. Both Iori (2007) and Si (2008) pointed out that in Japanese, demonstrative adjectives can be omitted when the anaphor is a common―but not an abstract―noun. In Chinese, Si (2008) found that it is not possible for demonstrative adjectives to be omitted. By contrast, in Japanese, Chen (2014b) reported that when the predicate expresses a specific event (event predication), a common noun is interpreted as a specific object and may refer to the antecedent without demonstrative adjectives. The aim of the present study was to investigate whether the type of predication also affects the possibility of omitting demonstrative adjectives in Chinese. If so, there would appear to be no difference between Japanese and Chinese in this regard. The present analysis yielded the following two findings. (1) If the referent is a singular noun in Chinese, native speakers of Chinese do not tend to omit demonstrative adjectives―regardless of the type of predication. (2) If the referent is a bare Noun Phrase, the type of predication affects the possibility of omitting demonstrative adjectives, which is similar to the situation in Japanese. In the present study, it was evident that owing to the interpretation of the bare NP in Japanese, it differs in this respect from Chinese.本稿は2015年度日本語教育学会第9回中国地区研究集会での発表内容を加筆・修正したものである

Development and validation of the short-form Adolescent Health Promotion Scale.

BACKGROUND: Health-promoting lifestyle choices of adolescents are closely related to current and subsequent health status. However, parsimonious yet reliable and valid screening tools are scarce. The original 40-item adolescent health promotion (AHP) scale was developed by our research team and has been applied to measure adolescent health-promoting behaviors worldwide. The aim of our study was to examine the psychometric properties of a newly developed short-form version of the AHP (AHP-SF) including tests of its reliability and validity. METHODS: The study was conducted in nine middle and high schools in southern Taiwan. Participants were 814 adolescents randomly divided into two subgroups with equal size and homogeneity of baseline characteristics. The first subsample (calibration sample) was used to modify and shorten the factorial model while the second subsample (validation sample) was utilized to validate the result obtained from the first one. The psychometric testing of the AHP-SF included internal reliability of McDonald's omega and Cronbach's alpha, convergent validity, discriminant validity, and construct validity with confirmatory factor analysis (CFA). RESULTS: The results of the CFA supported a six-factor model and 21 items were retained in the AHP-SF with acceptable model fit. For the discriminant validity test, results indicated that adolescents with lower AHP-SF scores were more likely to be overweight or obese, skip breakfast, and spend more time watching TV and playing computer games. The AHP-SF also showed excellent internal consistency with a McDonald's omega of 0.904 (Cronbach's alpha 0.905) in the calibration group. CONCLUSION: The current findings suggest that the AHP-SF is a valid and reliable instrument for the evaluation of adolescent health-promoting behaviors. Primary health care providers and clinicians can use the AHP-SF to assess these behaviors and evaluate the outcome of health promotion programs in the adolescent population

Accelerated Policy Gradient: On the Nesterov Momentum for Reinforcement Learning

Policy gradient methods have recently been shown to enjoy global convergence at a $\Theta(1/t)$ rate in the non-regularized tabular softmax setting. Accordingly, one important research question is whether this convergence rate can be further improved, with only first-order updates. In this paper, we answer the above question from the perspective of momentum by adapting the celebrated Nesterov's accelerated gradient (NAG) method to reinforcement learning (RL), termed \textit{Accelerated Policy Gradient} (APG). To demonstrate the potential of APG in achieving faster global convergence, we formally show that with the true gradient, APG with softmax policy parametrization converges to an optimal policy at a $\tilde{O}(1/t^2)$ rate. To the best of our knowledge, this is the first characterization of the global convergence rate of NAG in the context of RL. Notably, our analysis relies on one interesting finding: Regardless of the initialization, APG could end up reaching a locally nearly-concave regime, where APG could benefit significantly from the momentum, within finite iterations. By means of numerical validation, we confirm that APG exhibits $\tilde{O}(1/t^2)$ rate as well as show that APG could significantly improve the convergence behavior over the standard policy gradient.Comment: 51 pages, 8 figure

Illinois State University Concert Choir Fall 2003 Tour

November 3, 200

Coordinate Ascent for Off-Policy RL with Global Convergence Guarantees

We revisit the domain of off-policy policy optimization in RL from the perspective of coordinate ascent. One commonly-used approach is to leverage the off-policy policy gradient to optimize a surrogate objective -- the total discounted in expectation return of the target policy with respect to the state distribution of the behavior policy. However, this approach has been shown to suffer from the distribution mismatch issue, and therefore significant efforts are needed for correcting this mismatch either via state distribution correction or a counterfactual method. In this paper, we rethink off-policy learning via Coordinate Ascent Policy Optimization (CAPO), an off-policy actor-critic algorithm that decouples policy improvement from the state distribution of the behavior policy without using the policy gradient. This design obviates the need for distribution correction or importance sampling in the policy improvement step of off-policy policy gradient. We establish the global convergence of CAPO with general coordinate selection and then further quantify the convergence rates of several instances of CAPO with popular coordinate selection rules, including the cyclic and the randomized variants of CAPO. We then extend CAPO to neural policies for a more practical implementation. Through experiments, we demonstrate that CAPO provides a competitive approach to RL in practice.Comment: 47 pages, 4 figure