Evaluation Self-Presentation Skills of HUST’s students

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The article discusses the significance and role of presentation skills among university students as a vital tool for academic success and career preparation. Evaluatiing the self- presentation skills of students in general knowledge years helps lecturers design effective methods to enhance these skills. A presentation-based evaluation was conducted in a Soft Skills course at Hanoi University of Science and Technology, involving 95 students and 940 feedback comments from audiences. The results indicate that students performed well in the introduction and content development phases of their presentations. However, the conclusion phase, particularly delivering a message to inspire audience action, was less persuasive and requires improvement.

Satisfaction Will Mediate the Effect of Waiting Time and Service Quality on Outpatient Loyalty at Husada Hospital

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This study aims to analyze the effect of waiting time and service quality on outpatient loyalty at Husada Hospital, by considering patient satisfaction as a mediating variable. The phenomenon of decreasing number of patient visits over the past three years is an important background of this study. The research method used is quantitative with a survey approach. Data were collected through questionnaires filled out by outpatients at Husada Hospital, with the analysis technique using Partial Least Square-Structural Equation Modeling (PLS-SEM). The results showed that waiting time and service quality had a significant effect on patient satisfaction, with p values of 0.000 each. Patient satisfaction also had a significant effect on patient loyalty (p = 0.000). However, waiting time and service quality did not have a direct effect on patient loyalty without mediation of patient satisfaction. The patient satisfaction variable fully mediates the effect of waiting time and service quality on patient loyalty. This study has implications for the need to increase waiting time efficiency and service quality management as a strategy to increase patient loyalty, especially in private hospitals.

А Model for School Subject “AI Proficiency” for Advanced students in Secondary TVET School: Conceptual Framework and Content with Practical Exеmplary Curriculum

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The article proposes a subject model for special preparation for professional education and training for classes in the professional field Computer Science and Technology, as a continuation of the subject „Introduction to AI: General education“ for TVET secondary schools in Bulgaria, proposed by the author in a previous published article. The model is balanced, with an emphasis on active learning with a synergistic and holistic creative approach, where over 80% of the time the student is involved in an active (individual or collective) activity: researching materials, drawing up models, discussions and debates, SWOT analyses, as well as project-based tasks of greater or lesser volume, problem cases. The topics are considered not only in their strict technical context, but also holistically-synergistically: ethics in the matter of AI, strategies for regulations, future perspectives and benefits, personal interests. The curriculum aims to provide vocational high school students with a comprehensive understanding of AI, covering fundamental concepts, practical applications, advanced technologies, ethical considerations and future trends in the field, through a combination of theoretical learning, practical projects, creative activity and discussions, develop critical thinking skills and will prepare for further study or careers in AI-related fields.

Simulated Communities and Online Mentoring

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The advent of digital technologies has reshaped how individuals connect, collaborate, and learn. Simulated communities, virtual environments that replicate real-world dynamics, have emerged as powerful platforms for education, skill-building, and mentorship. These communities allow participants to engage in lifelike experiences, fostering opportunities for experiential learning and meaningful interactions. In the context of online mentoring, simulated communities serve as immersive environments where mentors and mentees can connect, collaborate, and develop skills in a personalized and engaging manner. This paper explores the intersection of simulated communities and online mentoring by analyzing existing platforms, theoretical frameworks, and case studies. The findings highlight the potential of simulated communities to bridge geographical and cultural divides, provide risk-free learning environments, and foster inclusivity and collaboration. However, challenges such as technical barriers, ethical concerns, and scalability issues must be addressed to fully realize their potential. The study concludes with recommendations for future research and practical applications to enhance the integration of simulated communities into mentoring practices.

The Influence of Green Brand Image, Satisfaction, Trust, on Loyalty Moderated by Environmental Ethics on Green Products in Indonesia

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Ultra-High Field Nuclear Magnetic Resonance (NMR) Spectroscopy: Applications at 1 GHz and Beyond

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Nuclear magnetic resonance (NMR) spectroscopy is a powerful non-invasive analytical technique with wide applications that can observe multiple nuclear species at a site-resolved level. Despite this, NMR has inherent low sensitivity compared to other analytical techniques. A principal approach to improve the sensitivity and resolution of the NMR experiment is to increase the strength of the external static magnetic field (B0), for which the upper practicable limit has gradually increased over five decades. The relatively recent use of high-temperature superconducting materials, such as Bi2Sr2Ca2Cu3Ox (Bi-2223), Bi2Sr2CaCu2Ox (Bi-2212) or REBa2Cu3O7-x (REBCO, RE = rare earth), has enabled construction of ultra-high field NMR magnets. Over twenty commercial ultra-high field NMR instruments at 1.0, 1.1 and 1.2 GHz (23.5, 25.9 and 28.2 Tesla, respectively) have been installed worldwide in the past several years, with more to come. NMR at ultra-high fields benefits both solution-state and solid-state NMR applications. The potential improvements in sensitivity and resolution in NMR spectra are particularly important for studying the structure, dynamics and ligand interactions of biomolecules, which can suffer from poor sensitivity and prohibitive signal crowding. The benefits of using ultra-high field NMR have begun to be demonstrated on various sample types, including intrinsically disordered proteins, membrane proteins, amyloid fibrils, viral capsids, bacterial chlorosomes, fungal cell walls, and whole human cells. Alongside optimisations in sample preparation, probe design and pulse sequences, and exploitation of dynamic nuclear polarisation (DNP), ultra-high field magnets are contributing to an exciting period for improving the sensitivity and resolution of NMR spectra in the study of more complex biomolecules and other samples.

Comparative Study of the Herbaceous Biomass of 3- and 7-year-old Management Sites in Western Niger

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For years, degraded land in western Niger has been subject to unprecedented reclamation. The aim of this study, carried out in the Ouallam department (western Niger), was to characterise the herbaceous vegetation of two (2) sites of different ages, developed by building sylvopastoral half-moons. Aligned quadrat points and abundance-dominance methods were used. The quantity of fodder was estimated by cutting flush with the ground and weighing, after drying, all the above-ground biomass in the half-moon. The inventory identified 38 and 55 species in the 3 and 7 year-old sites respectively, divided into 20 families dominated by the Poaceae family. The Jaccard index shows that the sites are similar, but the similarity is greater between sites of the same age. The highest rate of herbaceous cover (29%) was obtained on the 3-year-old site. The best values for yield and animal carrying capacity, 350 ± 109.68 and 0.07 ± 0.2 respectively, were recorded on the 3-year-old site. The herbaceous vegetation changed with the age of the site. The development favoured the gradual return of vegetation, thus contributing to the restoration of ecosystem services.

Fuzzy Vertex Range Labeling of Some Graph Families

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The main objective of this paper is to introduce fuzzy vertex range labeling and look at this for some graph families subject to suitable conditions.  In this article, the authors have introduced a new idea in fuzzy graph labeling called fuzzy vertex range labeling.  A graph  G that can be assigned values as the difference between the maximum and minimum values in fuzzy graph labeling strategy and if all the vertex values are distinct,  is called fuzzy vertex range labeling.  If G admits fuzzy vertex range labeling then  G is called fuzzy vertex range graph.  The authors have explored fuzzy vertex range labeling on Fan graph, Double fan graph, Wheel graph and Double wheel graph.

Integrating Artificial Intelligence in Teacher Education: A Systematic Analysis

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The current work is a systematic review paper that examines the function and significance of artificial intelligence (AI) in teacher education. The researcher gathered almost fifty articles from various platforms, including Google Scholar, Science Direct, Research Gate, and others, on AI and teacher education. Additionally, those publications’ analysis reveals a few key areas and their significance for teacher preparation. By delivering tailored learning experiences, improving instructional strategies, and providing data-driven insights etc. After collecting the article from the above sources, the investigator analyzed all the article on four major points e.g. AI and digital learning, AI and Teacher Education, AI and pedagogical leaning, AI and challenges in teaching learning process systematically, where the investigator found few points and analyzed vividly, at the end the view concern to the Artificial intelligence (AI) has the potential to completely transform Teacher Education. But in order to fully enjoy these advantages, the ethical, equitable, and preparedness issues around AI must be resolved.

Analysis of The Usage of The Shopee Live Streaming Application, The Effectiveness of Promotion on Customer Repurchase Decisions Mediated by User Satisfaction

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This study investigates the impact of live streaming, promotion effectiveness, and user satisfaction on customers’ repurchase decisions, based on data from 105 respondents through an online questionnaire. The analysis focuses on both direct and mediated effects, with quantitative methods applied.

The results reveal that live streaming significantly enhances user satisfaction (p-value = 0.000), but does not have a direct effect on repurchase decisions (p-value = 0.084). Promotion effectiveness, while not significantly impacting user satisfaction (p-value = 0.103), does have a significant influence on repurchase decisions (p-value = 0.032).

User satisfaction plays a crucial role in driving repurchase decisions (p-value = 0.038) and mediates the effect of live streaming on repurchase behavior (p-value = 0.049). In contrast, promotion effectiveness does not significantly influence repurchase decisions through user satisfaction (p-value = 0.184).

This study underscores the importance of user satisfaction as a key mediator in encouraging repurchase behavior. E-commerce platforms should enhance the engagement and familiarity of live streaming, ensuring it aligns with users’ shopping habits. Moreover, promotional strategies must be tailored to customer expectations in order to increase satisfaction and reduce disappointment. By optimizing these aspects, platforms can better cultivate customer loyalty and drive repurchase decisions.