This case study documents the effort to prototype a media literacy curriculum based on Herman and Chomsky (2010)'s Propaganda Model as well as the target students’ environment and need analysis. The course is implemented under a Content and Language Integrated Learning program for 30 first-year undergraduate students in Sophia University, Japan. The objective is to develop students’ awareness of issues facing society they live in, along with the capacity to think critically about media information, deliberate in public discourse via expression of individual opinions, and exchange with others. Evaluation study is conducted upon completion of the course to examine whether, or to what extent, that objective is realized, using qualitative method. Results show positive impacts on students’ learning, providing valuable inputs for further iterations of curriculum design in citizenship and media literacy education.

Background: Chinese Danggui (Angelica sinensis) and Japanese Danggui (Angelica acutiloba) are evaluated as the same in using and critical of quality control in Vietnamese Pharmacopoeia. In Vietnam, Japanese Danggui were acclimatized and cultivated in several regions in recent years. Despite the huge climatic difference between Vietnam and Japan, Japanese Danggui grows very well in Vietnam. However, there are no studies to assess the overall quality of this medicinal herbs. Aims and Objectives: The aim of this study is to develop a method to identify and assay simultaneously 5 component compounds of these crude herbs: chlorogenic acid, ferulic acid, scopoletin, xanthotoxin and ligustilide by high-performance liquid chromatography with photodiode array detector (HPLC-PDA). Materials and Methods: The procedure was optimized by using column Phenomenex Gemini 5 μm PR C18, 15 x 4,6 mm with the detection wavelength set at 321 nm for detector PDA and mobile phase was composed of (A) ACN and (B) aqueous solution 1% of acid acetic using a gradient elution. Analytes were performed at 30°C with a flow rate of 1.0 mL/min. Results: The developped method were fully validated for linearity, accuracy, recovery and met the validation requirements, proved practical applicability for the quality control of these herbs and related products. Conclusion: The method was successfully applied to the quantification of five markers simultaneously from collected samples.

Introduction: Infection with HPV is the main cause of cervical cancer. Determining HPV infection and the types of HPV plays an important role in diagnosis, treatment and prognosis of cervicitis/cervical cancer. Aims: Determining proportion of high-risk HPV types and the occurrence of coinfection with multiple HPV types. Methods: 177 women with cervicitis or abnormal Pap smear result were enrolled in the study. Performing the real-time PCR for detecting HPV and the reverse DOT-BLOT assay for determining type of HPV in cases of positive PCR. Results: 7 types of high-risk HPV was dectected, the majority of these types were HPV type 18 (74.6%) and HPV type 16 (37.6%); the proportion of infection with only one type of HPV was 30.4% and coinfection with multiple HPV types was higher (69.6%), the coinfected cases with 2 and 3 types were dominated (32.2% and 20.3%, respectively) and the coinfected cases with 4 and 5 types were rare. Conclusion: Use of the real-time PCR and reverse DOT-BLOT assay can determine the high-risk HPV types and the occurrence of coinfection with multiple HPV types. Key words: HPV type, Reverse DOT-BLOT, real-time PCR,PCR, cervical cancer

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Purpose This study aims to investigate the impact of AI chatbots on customer trust in AI chatbots for hotel services. Design/methodology/approach The probability sampling method was employed to develop a research sample. The research uses correlation analysis and structural equation modeling to analyze the data of 413 valid observations collected in the structured questionnaire survey in Vietnam. Findings The paper reports that empathy response, anonymity and customization significantly impact interaction. Empathy response is found to be the strongest influence on interaction. Meanwhile, empathy response and anonymity were revealed to indirectly affect customer trust. This paper also contributes several implications for hotel providers in emerging economies. Originality/value To the best of the authors’ knowledge, this is the first study to shed light on the role of AI chatbots in explaining customers’ behavior. The results provide an enhanced understanding of how the AI chatbot system influences customers’ decision-making. It has been used to plan the chatbot application and highlight which implementation issues need the most attention in the hospitality industry.