Induk University

The purpose of this study is to investigate the effects of self-discovery writing on broadcasting, video, and media majors through creative activities, and to derive educational implications accordingly. The self-reflection writing presented in the <Visual Storytelling> class went through a total of three stages based on the structural format of the three acts of video studied by Syd Field in the United States. As a result of analyzing the types of the virtual character settings that appeared in the creative output of a total of 34 learners, I was able summarize them into three types: 1) a type that reflects two or more 2) a type that shows human duality 3) a type that projects oneself as another being. As a result, Ifound that self-discovery writing plays a very important role in the development of learners' creativity along with self-reflection. In addition, this study confirmed the idea that a work which begins with ‘I’ is directly connected to rich material and that ‘self-discovery’ is highly likely to expand into voluntary learning through the integrated development of the concepts covered in the class. The educational implications of this include the re-examination of educational content through learner understanding, the development of convergence education in connection with major subjects, and the introduction of writing as a qualitative means for sincere learning. Currently, AI learning-based writing research is being actively conducted, but ‘self’ learning is as of yet an exclusively human domain, and self-discovery learning through self-exploration needs to be used in various subjects.

This research addresses the urgent need for sustainable and durable asphalt mixtures by quantitatively investigating the effects of incorporating waste plastic aggregate (WPA) and magnesium-based additives. This study explores WPA content levels of 3%, 5%, and 7% wt of aggregate in combination with a fixed 3% wt epoxy resin content to the asphalt binder, supplemented with the 1.5% wt magnesium-based additive. The novelty of this research lies in its comprehensive analysis of various performance parameters, including deformation strength, indirect tensile strength (ITS), rut depth, and dynamic stability, to assess the impact of WPA, epoxy resin, and the magnesium-based additive on asphalt mixture properties. The results demonstrate significant improvements in key performance aspects with increasing WPA content. The WPA mixtures exhibit enhanced deformation strength, with values of 4.01, 3.7, and 3.32 MPa for 3, 5, and 7% wt WPA content, respectively, compared to the control mixture. Furthermore, the inclusion of WPA and epoxy resin, along with the magnesium-based additive, contributes to improved adhesion, cohesion, and resistance to stripping damage. Notably, the 7% wt WPA mixture showcases exceptional performance, characterized by a final rut depth of 2.66 mm and a dynamic stability of 7519 passes per millimeter, highlighting its superior rutting resistance and load-bearing capacity. This study also reveals the influence of WPA content on ITS and stiffness properties, with the 5% wt WPA mixture achieving an optimal balance between strength and stiffness. Overall, this research highlights the potential of incorporating WPA, epoxy resin, and magnesium-based additives in asphalt mixtures to enhance their performance and durability. By utilizing plastic waste materials and optimizing their combination with epoxy reinforcement, along with the innovative use of magnesium-based additive, the findings contribute to the development of sustainable infrastructure materials and pave the way for further advancements in the field.

Abstract Despite an increased interest in crises within the field of entrepreneurship, there is still a lack of understanding about the interplay between different types of crises and entrepreneurship. In addition, the specific circumstances surrounding each type of crisis may also cause the conclusions of these studies to diverge or converge. To enhance our theoretical understanding of entrepreneurship during times of crisis, our review seeks to answer the following research questions: (1) How are the different types of crises addressed in entrepreneurship literature, and what similarities and differences exist? (2) How can we broaden our understanding and deepen our insights into the relationship between a crisis and entrepreneurship? In an effort to review the largest possible variety of crises that extends beyond political crises, natural disasters, and financial crises, we have also included a number of recent studies that examined COVID-19 from an entrepreneurial perspective. Following this, our study identifies six types of crises along with corresponding research themes, key findings, and critical shortcomings. This review also identifies multiple research gaps and suggests several future research directions, as well as theoretical approaches that researchers can take to build upon existing discussions surrounding entrepreneurship in times of crisis.

Black ice has recently been identified as a major cause of transportation accidents due to detecting difficulties on the road surface. It is crucial to provide traffic users with black ice warnings beforehand to sustain commuting safety. The identification of black ice, however, is a difficult initiative, since it necessitates the installation of sophisticated monitoring stations and demands frequently manual inspection. In order to build an economical automatic black ice detection technique, the datasets are built upon a variety of weather conditions, including clear, snowy, rainy, and foggy conditions, as well as two distinct forms of pavement: asphalt and concrete pavement. The Mask R-CNN model was performed to construct the black ice detection via image segmentation. The deep learning architecture was constructed based on pre-trained convolutional neural network models (ResNetV2) for black ice detection purposes. Different pretrained models and architecture (Yolov4) were then compared to determine which is superior for image segmentation of black ice. Afterward, through the retrieved bounding box data, the degree of danger area is determined based on the number of segmentation pixels. In general, the training results confirm the feasibility of the black ice detection method via the deep learning technique. Within “Clear” weather conditions, the detecting precision can be achieved up to 92.5%. The results also show that the increase in the number of weather types leads to a noticeable reduction in the training precision. Overall, the proposed image segmentation method is capable of real-time detection and can caution commuters of black ice in advance.

Conventional asphalt concrete pavements have deteriorated rapidly due to the current increased traffic and extreme climate impacts. In addition to the upgrading in the construction quality, there is an urgent need to expand the utilization of modified asphalt binders to improve road capacity and traffic safety. The proposed research aims to combine epoxy resin (ER) and crumb rubber powder (CRP) contents into conventional Styrene-butadiene-styrene (SBS)-modified asphalt binder to not only reduce the consumption of normal asphalt binder but also promote the usage of recycled waste material in practice. To cope with this research objective, the ER and CRP were designed at 3% and 5% by weight of asphalt binder, respectively. Various laboratory tests were performed to evaluate the performance of modified mixtures (ERCRP), including the Frequency Sweep Test, Multiple Stressed Creep and Recovery, Dynamic Modulus, Semi-Circular Bending (SCB), and Cantabro Durability Tests. Additionally, an assessment of the modified asphalt concrete pavement via field testbed was conducted through Falling Weight Deflectometer and Ground Penetrating Radar. Overall, by adding the ER and CRP, the strain value of the control reference mix can be reduced up to 31.8% and 28.3% at MSCR 0.1 and 3.1 kPa, respectively. Additionally, the dynamic modulus of the ERCRP-modified samples was approximately 32,267 and 189 MPa, while the value of the reference mixture was 28,730 and 105 MPa at the highest and lowest frequency, respectively, indicating an enhancement under repeated loads. Regarding the SCB test results at 0 °C, the peak stress of the ERCRP-modified mixture was 4.75 MPa, while the value of the reference specimens was only 4.2 MPa, noticing the improved stress-bearing capacity. Based on a full-scale testbed, the FLWD elastic modulus of reinforced pavement shows a novel improvement (6.75%) compared with the control pavement, suggesting a potential application of ERCRP-modified asphalt binder for sustainable development purposes.

ABSTRACTPreviously, we have shown that apoplastic wash fluid purified from Arabidopsis leaves contains small RNAs (sRNAs). To investigate whether these sRNAs are encapsulated inside extracellular vesicles (EVs), we treated EVs isolated from Arabidopsis leaves with the protease trypsin and RNase A, which should degrade RNAs located outside EVs but not those located inside. These analyses revealed that apoplastic RNAs are mostly located outside EVs and are associated with proteins. Further analyses of these extracellular RNAs (exRNAs) revealed that they comprise both sRNAs and long non-coding RNAs (lncRNAs), including circular RNAs (circRNAs). We also found that exRNAs are highly enriched in the post-transcriptional modification N6-methyladenine (m6A). Consistent with this, we identified a putative m6A-binding protein in apoplastic wash fluid, GLYCINE-RICH RNA-BINDING PROTEIN 7 (GRP7), as well as the small RNA-binding protein ARGONAUTE2 (AGO2). These two proteins co-immunoprecipitated with each other, and with lncRNAs, including circRNAs. Mutation of GRP7 or AGO2 caused changes in both the sRNA and lncRNA content of apoplastic wash fluid, suggesting that these proteins contribute to the secretion and/or stabilization of exRNAs. We propose that these extravesicular RNAs mediate host-induced gene silencing, rather than RNA inside EVs.One-sentence summaryThe apoplast of Arabidopsis leaves contains diverse small and long-noncoding RNAs, including circular RNAs, that are bound to protein complexes and are located outside extracellular vesicles.