Reviewerly/exHarmony huggingface dataset:
A Study on Aspect of Learners’ Writing Depending on Letter-based Text and Multimodal Text

This study examined the effect of writing depending on Letter-based Text and Multimodal Text, and showed a high level of achievement in writing tasks at a higher rate when students encountered information with multimodal text rather than letter-based text. This result is the result of diagnosing the immediate tasks such as the necessity of education for multimodal text and the implementation of educational content for multimodal text. As students' interviews show, the fact that the multimodal text-based YouTube platform is more actively used than letter-based website search through a search engine is emerging as a prominent social phenomenon that distinguishes it from the past, and it was confirmed again through this study. Future writing education needs to expand writing education based on composite form text, suggesting that composite form text can be utilized in both understanding and expression. Accordingly, research hypotheses 1 and 2 were confirmed. The digital generation is a generation that communicates with images rather than linearly listed textual text, and it is confirmed that it accepts information in complex form text and that this also affects writing. Composite style text that combines various styles such as video, subtitles, and sound stimulates learners' senses so that information processing is different from before.
The Characteristics of Korean Language Education Development in China and Tasks for Future Development: Focused on Education in Universities

The purpose of this study is to analyze the characteristics of the development process of Korean language education in China, draw implications, and present tasks to be solved for the development of Korean language education in China in the future. According to the analysis of the development process of Korean language education in China, the four tasks are as follows. First, it is necessary to enhance the value of using the Korean language. Second, it is necessary to actively and efficiently respond to the policies of the Ministry of Education of China. Third, it is necessary to increase the affinity for Korea and the Korean language, and fourth, to improve the ability to respond to external variables such as Korea-China relations shall. This study is an exploratory discussion based on existing literature and some data, and it is expected that the validity of the research contents will be verified by collecting empirical cases in the future.
A Study on the Current Status of SW·AI-related Subjects in the Basic Liberal Arts Curriculum at Universities

The purpose of this study is to explore the current status of SW and AI-related subjects in universities’ basic liberal arts curriculum and to present recent trends and discussions. SW and AI-related competencies are basic skills required for both majors and non-major, and are considered a kind of literacy. Each university has designated SW and AI-related courses as essential credits that students must basically complete and quickly reflected them in the basic liberal arts curriculum. In this study, related information was collected and organized based on the latest brochure and website information of domestic universities that can be confirmed as the final starting point from March to April 2023. As a result, a total number of 30 universities in Korea were presented for analysis of the study, and each university showed various domain names, subject names, and required credits according to unique characteristics and directions related to SW and AI. Through this study, it will be possible to understand the overall trends of SW and AI education in basic liberal arts education at universities and to identify educational implications and discussions.
A Study on the PBL Teaching and Learning Method Using the Intensive Completion System in the University Beauty Department

Intensive coursework has emerged as a university teaching and learning method following the demand for educational innovations such as improving applicability to real classes. Thus, this study aims to develop a lesson plan which can be applied to the university NCS hair- beauty curriculum by applying intensive coursework to PBL. Then, we will evaluate its suitability with an expert group. The PBL hair-practical lesson plan, asking for a long term learning, received positive feedback from the expert group on the whole. Thus, it seems to be worthwhile to apply the PBL model on the basis of the intensive coursework to the hair-practical lecture at the beauty college. More diverse teaching-learning methods would be developed with the help of specific administrative support, such as providing seminars on teaching-learning methods and training courses on program development, leading to a higher quality of education.
A Case Study of Poetry Creative Activity Education Program in Youth Space

This study analyzes the case of operation of a poetry creation education program conducted in 'Youth Space' for youth, and reveals the effect of 'Youth Space' on student continuous participation in poetry creation education. The purpose of this study is to accumulate the basis of the model of creation education program of poetry. This can be used as basic data for follow-up research on the development of an educational model that can contribute to strengthen youth capacity and social integration. According to the result of the study, first, the perceived value of the poetry creation education program conducted at the &lt;youth station&gt; had a significant effect on the satisfaction with the poetry creation activity education program and the continuous participation intention. Second, the poetry creation activity education program in the youth space had an impact on the formation of the youth's identity, the establishment of a world view, and newly construct the directivity of life.
Research Methodological Trends for Class Case Studies in Korean Language Education

The purpose of this paper is to identify the research methodological characteristics and overall research trends of the papers that used class cases among case studies in the field of Korean education. To this end, 30 academic papers extracted as research subjects were analyzed focusing on the research subjects and data collection and analysis methods. As a result of the analysis, it was found that there were many cases where Korean language classes as a foreign language subject were conducted for one to two semesters at domestic and foreign university institutions, and there were many cases of classes targeting 10 to 30 foreign learners. All papers tend to use the researcher's own classes as examples, but rarely apply objective observational methods such as keeping observation diaries or involving experts other than the researcher in the observations, and tend to describe their own classes from their own point of view. showed While surveys were actively used, interviews and self-reflection data collection methods, which are typical qualitative research methods, tended to be used very passively.
A Case Study on the Operation of Non-ubject Programs Centered on University Competency Education: The Effect of Reading Community Book Club Experience on Core Competence of College Students

The purpose of this study is to present the effect of the book club experience of college students reading community on the core competencies of college students. In order to examine the correlation between the book club experience and core competencies of the undergraduate reading community, the team participating in the non-curricular program 'Symbius Book Club' of the Communication Education Center of Hallym University analyzed the book club operation report and conducted in-depth interviews through discussions. did As a result of deriving the subject's book club experience through narrative analysis for qualitative research, educational effects were found in 'communication and cooperation competency', 'self-reflection competency', and 'communication competency', which are the core of college competency education and university students. It can help in formulating capacity plans.
FPBL(Flipped Project Based-Learning) Applied to Fashion Study Curriculum Design: The History of Modern Fashion Culture and Art Using Film and Video Media

The purpose of the study is to derive the educational achievement that can increase learning effect by presenting a systematic class model for the major of 'Fashion study' that learns the culture and arts of modern fashion using movies and videos which based on the FPBL flipped project. For the research methods, the study was verified through the process of theoretical consideration of the curriculum using movies and videos, flipped learning, and project-based learning, and the achievement presentation on design and operation of the FPBL flipped project-based fashion study curriculum, satisfaction survey for learners, and class reflection. First grade of universities in the metropolitan area participated for this study and the time range was a total 15 weeks of major classes in the second semester of 2022. As the results, learners increased the learning participation and ability of empathy, creativity and problem-solving skills, cooperative learning skills, and reflection skills. Furthermore, the educational significance and effect of FPBL flipped project-based fashion study curriculum are confirmed in this study. Thus, the study has a responsibility for suggesting the foundations of curriculum design for the design and operation of FPBL flipped project-based fashion study.
Constructive Algebra: The Quillen–Suslin Theorem

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On the Authentic Memories of Others

Research Article| May 01 2023 On the Authentic Memories of Others Vikram Ramakrishnan Vikram Ramakrishnan Vikram Ramakrishnan is an alumnus of the University of Pennsyl-vania and enthusiastic member of Odyssey Writing Workshop’s class of 2020, where he received the Walter & Kattie Metcalf Scholarship. He’s the winner of the 17th Annual Gival Short Story Award, and his stories have been published in Meridian, Eclectica, and Asimov’s Science Fiction. Search for other works by this author on: This Site Google the minnesota review (2023) 2023 (100): 6–14. https://doi.org/10.1215/00265667-10320793 Cite Icon Cite Share Icon Share Facebook Twitter LinkedIn Email Permissions Search Site Citation Vikram Ramakrishnan; On the Authentic Memories of Others. the minnesota review 1 May 2023; 2023 (100): 6–14. doi: https://doi.org/10.1215/00265667-10320793 Download citation file: Zotero Reference Manager EasyBib Bookends Mendeley Papers EndNote RefWorks BibTex toolbar search Search Dropdown Menu toolbar search search input Search input auto suggest filter your search Books & JournalsAll Journalsthe minnesota review Search Advanced Search The text of this article is only available as a PDF. © 2023 Vikram Ramakrishnan2023 Article PDF first page preview Close Modal You do not currently have access to this content.
An Introduction to Intuitionistic Logic

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RVFIT: Real-time Video Frame Interpolation Transformer

Video frame interpolation (VFI), which aims to synthesize predictive frames from bidirectional historical references, has made remarkable progress with the development of deep convolutional neural networks (CNNs) over the past years. Existing CNNs generally face challenges in handing large motions due to the locality of convolution operations, resulting in a slow inference structure. We introduce a Real-time video frame interpolation transformer (RVFIT), a novel framework to overcome this limitation. Unlike traditional methods based on CNNs, this paper does not process video frames separately with different network modules in the spatial domain but batches adjacent frames through a single UNet-style structure end-to-end Transformer network architecture. Moreover, this paper creatively sets up two-stage interpolation sampling before and after the end-to-end network to maximize the performance of the traditional CV algorithm. The experimental results show that compared with SOTA TMNet, RVFIT has only 50% of the network size (6.2M vs 12.3M, parameters) while ensuring comparable performance, and the speed is increased by 80% (26.1 fps vs 14.3 fps, frame size is 720*576).
Dynamic layer-wise sparsification for distributed deep learning

Distributed stochastic gradient descent (SGD) algorithms are becoming popular in speeding up deep learning model training by employing multiple computational devices (named workers) parallelly. Top-k sparsification, a mechanism where each worker only communicates a small number of largest gradients (by absolute value) and accumulates the rest locally, is one of the most basic and high-profile practices to reduce communication overhead. However, the theoretical implementation (Global Top-k SGD) ignoring the layer-wise structure of neural networks has low training efficiency, since the top-k operation requiring the whole gradients impedes parallelism of computation and communication. The practical implementation (Layer-wise Top-k SGD) solves the parallelism problem, but hurts the performance of the trained model due to the deviation from the theoretically optimal solution. In this paper, we solve this contradiction by introducing a Dynamic Layer-wise Sparsification (DLS) mechanism and its extensions, DLS(s). DLS(s) efficiently adjusts the sparsity ratios of the layers to make the uploaded threshold of each layer automatically tend to be the unified global one, so as to retain the good performance of Global Top-k SGD and the high efficiency of Layer-wise Top-k SGD. The experimental results show that DLS(s) outperforms Layer-wise Top-k SGD in performance, and performs close to Global Top-k SGD yet have much less training time.
Plowman I Keep Seeing I Tell My

Research Article| May 01 2023 Plowman I Keep Seeing I Tell My Agnes Hanying Ong Agnes Hanying Ong Agnes Hanying Ong is a poet. She is the recipient of the 2022 Billy Maich Academy of American Poets Prize. Her work has appeared in Chicago Review, Black Warrior Review, the Carolina Quarterly, and elsewhere. Search for other works by this author on: This Site Google the minnesota review (2023) 2023 (100): 32–33. https://doi.org/10.1215/00265667-10320863 Cite Icon Cite Share Icon Share Facebook Twitter LinkedIn Email Permissions Search Site Citation Agnes Hanying Ong; Plowman I Keep Seeing I Tell My. the minnesota review 1 May 2023; 2023 (100): 32–33. doi: https://doi.org/10.1215/00265667-10320863 Download citation file: Zotero Reference Manager EasyBib Bookends Mendeley Papers EndNote RefWorks BibTex toolbar search Search Dropdown Menu toolbar search search input Search input auto suggest filter your search Books & JournalsAll Journalsthe minnesota review Search Advanced Search The text of this article is only available as a PDF. © 2023 Agnes Hanying Ong2023 Article PDF first page preview Close Modal You do not currently have access to this content.
Development of mutual and intelligent water resources circulating utilization system based on image processing technology

The rapid economic and social development has made people's demand for water resources increase rapidly, but at present, half of the world's rivers have been greatly reduced or seriously polluted, resulting in accelerated consumption of water resources. Therefore, the construction of a shared smart water resource recycling system is of great significance to the development of my country's current water resources management. The rapid development of computer technology provides important conditions for people to change traditional concepts and behaviors, and also provides new solutions for solving social conflicts brought about by traditional development models. Images surround humans all the time, and image processing technology replaces the work of the human eye with computers, which makes it possible for image processing technology to automate and intelligently recognize images. After continuous promotion and development, digital image processing has formed a relatively complete subject system. At present, various application fields put forward higher demands on digital image processing technology, which has promoted the development of this discipline system to a higher technical direction. This paper captures the serious problems of water shortage, pollution, waste and uneven distribution. Through the application of image processing technology in water quality analysis and detection, image processing algorithms are used for preprocessing, image segmentation, contour extraction, and the area, perimeter and other parameters for statistical analysis, and the integration of big data, deep learning and new image analysis technologies to develop intelligent platform systems. On this basis, it can not only improve the utilization efficiency of water resources, but also ensure national water security and sustainable economic and social development.
Across the pond

Research Article| May 01 2023 Across the pond Selena Cotte Selena Cotte Selena Cotte is online now. Her poetry can be found in Hobart, Landfill, Autofocus, Juked Online, and other journals. Her corporeal form can usually be found in Chicago, but her recent dreams take place in Las Vegas. Search for other works by this author on: This Site Google the minnesota review (2023) 2023 (100): 47. https://doi.org/10.1215/00265667-10320891 Cite Icon Cite Share Icon Share Facebook Twitter LinkedIn MailTo Permissions Search Site Citation Selena Cotte; Across the pond. the minnesota review 1 May 2023; 2023 (100): 47. doi: https://doi.org/10.1215/00265667-10320891 Download citation file: Zotero Reference Manager EasyBib Bookends Mendeley Papers EndNote RefWorks BibTex toolbar search Search Dropdown Menu toolbar search search input Search input auto suggest filter your search Books & JournalsAll Journalsthe minnesota review Search Advanced Search The text of this article is only available as a PDF. © 2023 Selena Cotte2023 Article PDF first page preview Close Modal You do not currently have access to this content.
The Local News Map: Tell us what is happening to local news in your community

&lt;p&gt;The Local News Map is a crowd-sourced resource that tracks what is happening to local newspapers, broadcast outlets and online/digital news sources in places across Canada. It displays changes to service at local news outlets, including information on the launch/closing of local news organizations along with service increases/reductions going back to 2008. Every two months, a new report summarizing events and the raw data is published &lt;a href="https://localnewsresearchproject.ca/category/local-news-map-data/" target="_blank"&gt;here.&lt;/a&gt;&lt;/p&gt;
Contribution of Social Media Networks Usage on Performance of Selected Upmarket Hotels Based in Kigali- Rwanda

The contribution of travel and tourism industry to Rwanda’s GDP increased from 4.7% in 2000 to 15.1% in 2019 with an average annual rate of 7.02%. It is evident that the hospitality industry relies on the use of information and communication technologies in marketing, promotional activities, sales and creation of relationships with their customers. However, there has been limited research to assess the contribution of social media networks to the performance of hospitality industry in Rwanda. Thus, the objective of the study was to assess the effect of social media network usage, determine how the selected hotels use social media networks to reach out to their customers and establish the most popular social media platforms. Using a descriptive research design, the study adopted a hybrid approach of both qualitative and quantitative approach for collection of data and employed both primary and secondary research methods to collect data including formulation of interview in form of a questionnaire. Results revealed that social media networks have significantly contributed to the performance of the selected upmarket hotels in Kigali and have been used for marketing purposes to attract customers. It was found that about 96.4% of the hotels’ clients use social media platforms to make bookings while the least indicate that at least 3.6% of most of respondents indicated that social media networks had a small impact to their hotel business. The most commonly used platforms include Facebook, YouTube, Instagram, WhatsApp and Twitter. In conclusion, the paper highlights the importance of social media in the upmarket hotel segment in Kigali, Rwanda, and its impact on the hospitality industry. The findings of the study indicate that social media has had a positive impact on the performance of upmarket hotels, with a high percentage of customers using social media to make bookings. The study recommends that hotels collect and keep records of their customers indicating which mode of communication they use while making bookings. These records must indicate which uses social media to access various hotel services. Also, hotels should ensure that they have appropriate staff with IT skills to operate and manage social media networks, including using them to get reviews for future improvement of their services. The hotels should continue investing in social media to attract customers and promote their brands. Hotels should ensure a presence on multiple social media platforms to reach a wider audience. Finally, hotels should continue to monitor and evaluate the impact of social media usage on their performance to identify areas for improvement and optimize their social media strategy. Keywords: Social Media Networks, Upmarket Hotels, Hospitality, Performance, Rwanda
Improving Interactive Segmentation using a Novel Weighted Loss Function with an Adaptive Click Size and Two-Stream Fusion

&lt;p&gt;Interactive segmentation has recently attracted at-tention for specialized segmentation tasks where expert input is required to further enhance the segmentation performance. In this work, we propose a novel interactive segmentation framework, where user clicks are dynamically adapted in size based on the current segmentation mask. The clicked regions form a weight map and are fed to a deep neural network together with the image, where the network learns to discriminate important regions through a novel weighted loss function. To evaluate our loss function, a state-of-the-art interactive V-Net (IV-Net) model which utilizes both foreground and background user clicks as the main method of interaction is employed. To further improve on the IV-Net, we propose the use of a two-stream fusion interactive If-Net (TSFIV-Net) which applies multimodal fusion to allow for the propagation of image feature information throughout the architecture. We train and validate both the models on the BCV dataset, while testing on both seen and unseen structures from the MSD dataset to determine the models generalization and segmentation abilities in comparison to the standard IV-Net. Applying adaptive user click sizes increases the overall dice score by 4.86 % and 8.59 % for seen and unseen structures respectively by utilizing only a single user interaction on the IV-Net compared to the original version, and 9.88% and 10.35% on the TSFIV-Net.&lt;/p&gt; &lt;p&gt; &lt;/p&gt;