New Constructions of Zero-Correlation Zone Sequences

In this paper, we propose three classes of systematic approaches for constructing zero correlation zone (ZCZ) sequence families. In most cases, these approaches are capable of generating sequence families that achieve the upper bounds on the family size ($K$) and the ZCZ width ($T$) for a given sequence period ($N$). Our approaches can produce various binary and polyphase ZCZ families with desired parameters $(N,K,T)$ and alphabet size. They also provide additional tradeoffs amongst the above four system parameters and are less constrained by the alphabet size. Furthermore, the constructed families have nested-like property that can be either decomposed or combined to constitute smaller or larger ZCZ sequence sets. We make detailed comparisons with related works and present some extended properties. For each approach, we provide examples to numerically illustrate the proposed construction procedure.Comment: 37 pages, submitted to IEEE Transactions on Information Theor

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

Investigating the Performance of Ground Anchor Through The Failure Slope Disaster in Taiwan

At milestone 3.1 km of the Formosa Freeway in northern Taiwan, a landslide occurred on April 25, 2000, causing nearly 200,000 m3 of earth and rock to slump down onto the freeway below. Four people trapped in cars beneath the collapsed slope died. How such a tremendous slope failure could happen in dry weather without advanced warning is attributed to two key factors: (1) Long-term groundwater infiltration resulting in the softening of thin interlayer between sandstone and shale; (2) Ground anchor corrosion resulting in a decrease in slope stability. Together these two factors caused the slope to reach a critical limit resulting in a collapse. In Taiwan ground anchors have been widely used to improve slope stability along roadways for more than 40 years. After the Formosa Freeway slope collapse the government began a comprehensive survey to examine anchors on the slopes along all freeways. This paper uses finding from this survey as well as information from other slope failure investigations to examine the performance of ground anchors in Taiwan. The factors contributing to the failures of the permanent ground anchors and the required inspections/maintenances are discussed in addition to recommendations for improving design and construction

The Effects of Narrative Online Advertising on Attitude and Purchase Intention

This study examines the effects of narrative online advertising on a consumer’s attitude toward a product and his/her purchase intention, and the moderating effects of advertising, product and purchase involvement on the (aforementioned) relationships. The results indicate that the four narrative online advertising elements (interactivity, vividness, entertainment, self-referencing) have a positive effect on attitude (interactivity and entertainment did not), and attitude has a positive effect on purchase intention. The former relationship is positively moderated (enhanced) by advertising involvement but on only vividness and self-referencing while the latter by only product involvement. The data do not support purchase involvement as a moderator

A Study of Mazuism Religious Tourism in Taiwan: an Example of Dajia Jenn Lann Temple

Although the study of Mazuism has been popular among scholars, few have attempted to touch upon its religious tourist behaviour; however, as the purpose of their travel is to worship at the Mazu Temple, it is thus, a tourism destination. Therefore, from the perspective of religious sustainable operation, it is important to understand the tourist behavior patterns of religious tourists visiting Mazu Temple. The purpose of this study is to analyze the interrelationships between destination image, service quality, perceived value, satisfaction, and behavioural intention. This study is conducted with convenience sampling methods for tourists visiting Jenn Lann Temple in Dajia, Taichung, Taiwan, and a total of 408 valid questionnaires are obtained. The valid questionnaires collected in this study are statistically analysed using descriptive statistics and PLS. The results show that destination image, service quality, perceived value, and satisfaction have positive impacts on tourists’ behavioural intention. According to the results of the above analysis, this study constructs a religious tourism behaviour model of Mazu believers and gives management advice to the Mazu Temple

Understanding factors relevant to poor sleep and coping methods in people with schizophrenia

Background Sleep disruption is pervasive in people with schizophrenia, but few studies have explored their sleep experiences. This study aims to identify factors relevant to sleep problems and explore coping methods used by community-dwelling people with schizophrenia. Methods Eighteen participants with schizophrenia were recruited from three mental health centers in Taiwan. They completed a semi-structured interview and the Pittsburgh Sleep Quality Index (PSQI) assessment. The Person-Environment-Occupation model offered a framework to assess factors related to sleep. Thematic analysis was used for the qualitative data analysis. Results Factors related to sleep were classified under person, environment, and occupation domains. The person domain included three subthemes: psychiatric symptoms, unpleasant emotions, and frustration about sleep. The environment domain included three subthemes: sensory intrusions from the environment, quality of bedding, and roommates. The occupation domain included sleep interruption and sleep preparation. There were notable discrepancies in sleep quality between the participants’ narratives and their PSQI global scores. Regarding coping methods for poor sleep, sleep medication was the primary strategy while some participants also used other strategies, such as modifying the environment, adjusting routines, or engaging in activities that improve sleep quality. Conclusions Psychiatric symptoms and nightmares were identified as unique sleep disruptions in people with schizophrenia, and poor economic status was also found to impact their sleep. The sleep quality of people with schizophrenia tends to be poor, as identified by the PSQI, even though they may have positive perceptions of their sleep quality. Our participants appeared to prefer to take hypnotics to address their sleep problems, which may be due to limited knowledge about alternatives. Mental health professionals are encouraged to receive training in the application of non-pharmacological approaches to support their clients’ issues related to sleep

Deep-Q Learning with Hybrid Quantum Neural Network on Solving Maze Problems

Quantum computing holds great potential for advancing the limitations of machine learning algorithms to handle higher dimensions of data and reduce overall training parameters in deep learning (DL) models. This study uses a trainable variational quantum circuit (VQC) on a gate-based quantum computing model to investigate the potential for quantum benefit in a model-free reinforcement learning problem. Through a comprehensive investigation and evaluation of the current model and capabilities of quantum computers, we designed and trained a novel hybrid quantum neural network based on the latest Qiskit and PyTorch framework. We compared its performance with a full-classical CNN with and without an incorporated VQC. Our research provides insights into the potential of deep quantum learning to solve a maze problem and, potentially, other reinforcement learning problems. We conclude that reinforcement learning problems can be practical with reasonable training epochs. Moreover, a comparative study of full-classical and hybrid quantum neural networks is discussed to understand these two approaches' performance, advantages, and disadvantages to deep-Q learning problems, especially on larger-scale maze problems larger than 4x4