The influence of CEO characteristics on corporate environmental performance of SMEs: Evidence from Vietnamese SMEs

Drawing on upper echelon theory, this study investigates the impact of CEOs’ (chief executive officers) demographic characteristics on corporate environmental performance (CEP) in small and medium-sized enterprises (SMEs). We hypothesized that CEO characteristics, including gender, age, basic educational level, professional educational level, political connection, and ethnicity, affect SMEs’ environmental performance. Using the cross-sectional data analysis of 810 Vietnamese SMEs, this study provides evidence that female CEOs and CEOs’ educational level (both basic and professional) are positively related to the probability of CEP. We also find that based on the role of institutional environment on CEP, political connections had a negative effect on CEP in the context of Vietnam. Another finding is that SMEs with chief executives from ethnic minority groups show a higher level of the probability of corporate environmental performance than companies operated by Kinh chief executives. Since CEP is an essential dimension of corporate social responsibility, a strategic decision for SMEs, it is crucial for the company to select appropriate CEOs based on their demographic characteristic

The Relationship between Teachers\u27 Interaction Strategies and Student Oral Involvement

A lot of research has focused on exploring reasons for and solutions to Asian students’ reticence in speaking. It is found that their unwillingness to speak is affected not only by the students themselves but also by the situations they are placed in. However, there is still space to explore how teachers use interaction strategies to enhance students’ speaking involvement, especially in Vietnam. This paper examines the relationship between teacher interaction strategies and student oral involvement. The data were collected via audio-recording and class observation. Five experienced teachers and their respective classes at a center for foreign languages were invited to participate in the study. The data were analyzed qualitatively based on the three interaction strategies proposed by Lee and Ng (2010). The findings show that three types of interaction strategies were used by the teachers in the classroom and had a positive effect on student oral involvement. The extent to which students are involved orally in response to these strategies was discrepant. More importantly, there are others elements related to pedagogical factors such as lesson objectives, task type, activities used, classroom management and the proficiency level of the students which were also identified to impact a teacher’s interaction strategy decision making

The effects of question prompt-based scaffolding and social presence enhancement on students' argumentation and ill-structured problem solving

Asynchronous online discussions have the potential to facilitate meaningful learning activities, such as ill-structured problem-solving, due to their asynchronicity and connectivity. However, the literature identifies two significant challenges in effectively supporting students' ill-structured problem-solving in these environments - argumentation and social interactions. Although argumentation is critical for ill-structured problem-solving, students tend to avoid engaging in critical argumentation activities, such as generating rebuttals and counterarguments, to construct meaning in discussion forums. Similarly, social interactions are essential to ill-structured problem-solving, but students tend to display low levels of engagement in asynchronous online discussions. This study aimed to explore how these two critical components of problem-solving can be supported in asynchronous online discussions using question prompt-based argumentation scaffolds in combination with social presence enhancement strategies. The primary focus was to compare the differential effects of question prompts alone and the combination of question prompts with social presence enhancement prompts on students' argumentation behaviors, problem-solving processes during discussions, and post-test problem-solving performance. This study randomly assigned 44 students to three conditions (control, question prompt-based, and question prompt with social presence enhancement) to analyze their argumentation behaviors, problem-solving processes, and problem-solving performance in asynchronous online discussions. The findings reveal that: (1) lower level interactive argumentation behaviors dominate over higher level interactive ones; (2) students focus more on identifying problem representations and generating solutions than on justifying and evaluating them; (3) there is no significant difference in argumentation behaviors and problem-solving processes in asynchronous online discussions across the conditions. However, students who received both the question prompt scaffolds and the social presence enhancement strategies consistently showed more evidence of engaging in argumentation, especially higher level interactive argumentation, and in problem-solving processes; and (4) there is a significant difference in post-test problem-solving performance across conditions, where students in the condition that received both the question prompt scaffolds and the social presence enhancement strategies performed significantly better than students in the control condition. The study's findings underscore the importance of supporting students' social presence to engage them in interactive argumentation and problem-solving processes, thereby enhancing their problem-solving performance. This study contributes to the understanding of argumentation scaffolding and social interactions in asynchronous online discussion environments and provides design recommendations for instructional designers and instructors seeking to support students' argumentation and social presence in these environments.Includes bibliographical references

Denoising Diffusion Medical Models

In this study, we introduce a generative model that can synthesize a large number of radiographical image/label pairs, and thus is asymptotically favorable to downstream activities such as segmentation in bio-medical image analysis. Denoising Diffusion Medical Model (DDMM), the proposed technique, can create realistic X-ray images and associated segmentations on a small number of annotated datasets as well as other massive unlabeled datasets with no supervision. Radiograph/segmentation pairs are generated jointly by the DDMM sampling process in probabilistic mode. As a result, a vanilla UNet that uses this data augmentation for segmentation task outperforms other similarly data-centric approaches.Comment: Accepted to IEEE ISBI 202

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学位授与機関：　滋賀医科大学　博士（医学）甲第807号　平成30年3月9日International Journal of Cancer, 201

Data and digital objects : Manual and automated analysis to improve DMPs

Moulaison-Sandy, H., & Pham, N.-M. (2022, June 20). Data and digital objects: Manual and automated analysis to improve DMPs. In Neish, P., Kim, J., Bats, R., Million, A.J., Carlson, J., Moulaison-Sandy, H., & Bishop, B. Data Management Plan Assessments and Evaluations: Implications and Recommendations Lessons Learned [Panel: B. W. Bishop]. SciDataCon (International Data Week) 2022, Seoul, Republic of Korea.Heather Moulaison-Sandy and Ngoc-Minh Pham (iSchool, University of Missouri

ANALYSIS OF THE POPULARITY OF VOCABULARY USED WHEN PERFORMING SPEAKING ACTIVITIES IN THE CLASS OF FIRST-YEAR ENGLISH LANGUAGE STUDENTS IN THE DIRECTION OF DISCOURSE ANALYSIS

Vocabulary learning is extremely important when learning a foreign language. Fluency in a language depends on vocabulary and its use in specific situations. Speaking well is using vocabulary flexibly and speaking fluently. Researching the popularity of vocabulary is analyzing the prevalence of vocabulary used by linguistics students in communication from discourse analysis. This is a topic the research team is working on. This project will help the researchers learn about common vocabulary that students often use to communicate outside or in the classroom. Thereby understanding whether the vocabulary that students use is diverse, rich, and for the right purpose or not. This study will help students have a more comprehensive view of the ways to use words in communication. In addition, it also helps students improve their communication vocabulary, helps in exams and can be useful for later work. In this study, the research team will investigate the students' ability to use spoken vocabulary, i.e., frequency and extent of vocabulary usage.  Article visualizations

An improved performance routing protocol based on delay for MANETs in smart cities

Mobile ad-hoc networks (MANETs) is a set of mobile devices that can self-configuration, self-established parameters to transmission in-network. Although limited inability, MANETs have been applied in many domains to serve humanity in recent years, such as disaster recovery, forest fire, military, intelligent traffic, or IoT ecosystems. Because of the movement of network devices, the system performance is low. In order to MANETs could more contribution in the future of the Internet, the routing is a significant problem to enhance the performance of MANETs. In this work, we proposed a new delay-based protocol aim enhance the system performance, called performance routing protocol based on delay (PRPD). In order to analyze the efficiency of the proposed solution, we compared the proposed protocol with traditional protocols. Experiment results showed that the PRPD protocol improved packet delivery ratio, throughput, and delay compared to the traditional protocols