Busan University of Foreign Studies

This study aims to develop Radin Jambat Creative Puppetry as a culturally grounded instructional medium and to examine its feasibility, practicality, and potential influence on elementary school students’ literary literacy. Using the ADDIE development model, the media was validated by content, language, and design experts; tested for practicality with teachers and students; and examined using a one-group pretest–posttest design involving 62 fourth-grade students. Data included expert validation ratings, practicality questionnaires, and literary literacy test scores. Expert validation indicated high feasibility across content (92%), language (90%), and media design (94%). Teachers (93%) and students (91%) rated the medium as highly practical. Pretest–posttest comparisons showed an increase in students’ scores, and statistical analysis (t(61) = 14.27, p < .001) and the effect size (d = 1.21) indicated positive learning trends. However, causality cannot be inferred due to the research design. The Radin Jambat Creative Puppetry demonstrates promising potential as a culturally grounded, multimodal medium that may support improvements in students’ literary literacy. However, because no control group was included, the findings should be interpreted as indicative rather than conclusive. Further research using stronger experimental designs is recommended. Keywords: literary literacy, creative puppetry, Radin Jambat, elementary school students.

Objectives: Frozen shoulder (FS) leads to pain, reduced shoulder function, and deficits in postural stability and sensorimotor control during upper-limb weight-bearing and activities of daily living tasks. This study investigated how an eight-week Dynamic Neuromuscular Stabilization (DNS) program affected Center of Pressure (COP) control and pain in midlife women with FS. Methods: Twenty-two midlife women with FS were randomly assigned to a DNS group (DNSG, n = 11) or a control group (CG, n = 11). The DNSG performed DNS exercises twice weekly for eight weeks, while the CG performed a dynamic stretching-based active control program. COP variables (distance, velocity, and root mean square (RMS) in the anterior-posterior (AP) and medial-lateral (ML) directions) were measured using a force platform under affected-side single-hand support with visual input and bilateral hand support with and without visual input. Pain was assessed using the Visual Analog Scale (VAS). All variables were analyzed using a two-way mixed ANOVA. Results: Under the affected-side single-hand support condition, a significant group × time interaction was observed for the prespecified primary outcome, ML-RMS (p < 0.05). Other COP variables under this condition were not significant after Holm-Bonferroni correction. Under bilateral hand-support conditions, ML-RMS remained significant after multiplicity adjustment in both visual conditions (p < 0.05). Pain (VAS) decreased over time in both groups, with no significant group × time interaction observed. Conclusions: The DNS intervention was associated with positive changes in COP-based postural control during upper-limb weight-bearing tasks in midlife women with FS. Pain decreased over time in both groups, with no significant group-by-time interaction. These findings suggest that DNS may be a potentially useful intervention for improving postural stability during upper-limb support tasks in patients with FS.

The purpose of this study is to identify airline asymmetric attributes that affect customer satisfaction based on the three-factor theory and to build an Asymmetric Impact-Sentiment Analysis (AISA) for resource allocation prioritization. We identified food and beverage service as a basic factor; inflight service as a one-dimensional factor; and seat comfort, ground service, and airline seat class as attractive factors. AISA analysis results showed that food and beverage services should be prevented from falling into customer dissatisfaction through Urgent Action (cell II), and in-flight services should be improved continuously to increase satisfaction (cell IV). Low-priority improvement is required for seat comfort, which is an attractive factor (cell VI), and strong maintenance is required for ground service and airline seat class as strength factors (cell V). The first contribution, the asymmetric relationship between customer opinions for service attributes and satisfaction, was verified. Second, this paper extended the IPA to the text mining-based asymmetric AISA.

This paper examines the ideas of liberal education in the Fourth Industrial Revolution as well as artificial intelligence where technological breakthrough brings about socio-economic changes. The modern ideas of liberal education were propounded by such important thinkers as John H. Newman and J. S. Mill in the course of the previous Industrial Revolution. This paper explores how their ideas underwent reinterpretation and reconstruction in the 20th century. In particular, it discusses how the Association of American Colleges and Universities (AAC&amp;U) emphasizes the importance of practical liberal education along with newly proposed learning outcomes and their assessment tools. It reaffirms that the traditional ideas of liberal education are still valid in these ever changing times.

Quality control in Gas Metal Arc Welding (GMAW) poses challenges due to the complex nature of its underlying processes, making it difficult to identify defects during the welding operations. Conventional post-weld inspections, including non-destructive testing (NDT) methods are inefficient and restrict real-time process optimization. This study introduces a novel deep learning-based multimodal approach for real-time GMAW quality monitoring. The proposed solution integrates electrical data, including sensor readings such as voltage (V), current (I) and gas flow rate (GFR) along with high-resolution welding images captured by an advanced welding camera. To enhance the representation for the vision encoder model, timeseries sensor data is converted into spectrograms. The EfficientNetB2 pretrained model stands out as a balanced choice as a vision encoder, achieving high accuracy of 97.33% with a relatively efficient design in terms of both parameters and inference speed. In contrast, ResNet50 achieves the highest accuracy at 98.67%, but it comes with increased complexity and longer inference times. Moreover, comparative analysis underscores the effectiveness of our multimodal approach in achieving superior results over unimodal approaches. Furthermore, the proposed approach extends its applicability to Gas Tungsten Arc Welding (GTAW), providing a comprehensive solution for monitoring and enhancing quality control across various welding methods.