Reviewerly/exHarmony huggingface dataset:
Analyzing University Writing Education for Foreign Students

This study aimed to prove the effect of academic writing education for foreign students and recommend directions for university writing education for foreign students accordingly. Therefore, a survey on academic literacy was conducted for foreign students who attended a lecture on &lt;Thinking and Expression&gt; at a university located in the metropolitan area in the first semester of 2022; the reports that the students submitted were analyzed from the perspective of academic writing. Although the foreign students attending the course on &lt;Thinking and Expression&gt; lacked Korean language skills, they had writing experience in their home country and were confident about their writing skills. High writing self-efficacy typically translates into high academic writing self-efficacy, and this held true for the foreign students as well. According to the academic literacy survey results, the students had considerable knowledge and information related to academic writing. They stated that they had acquired this knowledge and information through &lt;Thinking and Expression&gt;, and the theoretical contents of the course had a positive effect on their academic writing skills. The foreign students had to receive Korean-centered education because of their lack of Korean language skills. However, they had basic writing skills and were able to perform well in academic writing. Therefore, university writing education for foreign students should be designed in the direction of improving writing ability and, not Korean language ability.
Using picture books in university liberal arts classes Text Understanding and Creation Case Study

This study aimed to examine the necessity and plan of action to utilize creative and convergence learning capabilities of students through creating picture books using both text and pictures in university liberal arts classes. Picture book creation refers to the journey a creator experiences throughout the entire process from planning to publishing a picture book. The participants were first-year students at a university in Seoul in the first semester of 2021. A total of 68 students attended two classes in Text Understanding and Creation. There were 53 responses, resulting in a 78% response rate. Upon completion of the classes, an online survey analysis was administered, including 22 questions about the overall class, picture book creation process, self-esteem, and satisfaction. The results of this study were described according to the related questions on creativity and convergence of creative activities. Through the experience of expressing their imagination, according to the class procedure, first-year college students can reflect on their lives and increase their self-reflection-sense of accomplishment and confidence to determine what they really want to do. The experience of using digital technologies such as smartphones and tablet PCs has educational significance as it helps enhance the ability to process information effectively, while improving creativity and convergent thinking.
A Study on Task-Based Speaking Classes for Korean Learners for Academic Purposes: “Advanced Korean Conversation” Focusing on the Operation of the Subject

This study aims to examine cases of speaking classes designed to improve the communication skills of learners of Korean academic purposes and discuss the effectiveness and significance of task-based classes through the satisfaction of the learners. To this end, a task-oriented “Korean Advanced Conversation” course was designed and taught in class. As a result of the class, it was confirmed that task-based speaking is an effective educational tool that can allow learners to take the lead in using the target language. This study is meaningful as it introduces a specific class and confirms the effects of the class based on empirical data directly applied to the educational field.
Writing Context Composition Patterns of Learners of Korean for Academic Purposes

This study aims to propose the concept of writing context as a learning component and analyze the writing context composition patterns of academic learners. Subsequently, the composition pattern of the writing context was examined by applying the self-expression writing task to 19 academic learners. From the contextual awareness checklist results, learners lacked most of the genre knowledge of subconscious contextual fields, and the understanding of the characteristics of the writing task in the realization context field was low. As a result of analyzing the relationship between writing context formation factors, the writing context constructed by the students could be largely divided into “segmental context recognition, integrated context recognition, and dual context recognition.” Segmental context recognition can be divided into “reader exclusion context recognition” and “material-centered context recognition.” In addition, integrated context recognition could be further divided into “intercultural context recognition, reader-centered context recognition, and knowledge-oriented context recognition.” Among them, the author’s voice, such as learners’ opinions or perspectives, was most clearly revealed in the text of self-expression writing as “reader-centered context recognition.”
Refinement of educational goals of workplace writing: Focusing on content corresponding to the basic physical strength of workplace writing

This study aims to specify a common writing goal that corresponds to the basic physical strength of workplace writing. To reflect the situation and context of the job discourse community, 12 job-related writing self-development books used by office workers in real society were analyzed. Approximately 300 people across the country participated in a questionnaire survey on this information, and the implicit theory for workplace writing was explored by performing a common factor analysis on the questionnaire responses. The results demonstrated that the writing ability commonly required for workplace writing can be divided into content related to “logic and concise,” “idea composition,” and “writing structure and form.” This study is meaningful as it provides a foundation for more practical workplace writing education for the following reasons: (1) it was derived based on the content required for workplace writing used in job sites, and (2) it revealed a more specific level of detail than the existing discussions on workplace writing.
Comparative analysis of composition method of text centered text and text centered text and exploring the meaning constructive strategy of text producers: Mobile media environment and focusing on the text acceptance context according to platform characteristics

This study analyzes the characteristics of text-oriented text and image-oriented text composition methods and the differences in consumption patterns according to the main text composition styles based on the characteristics of mobile media. In this study, two blog platforms and one video platform were selected to compare the semantic construction methods of text-oriented text and image-oriented text. The subject and content of ‘specific analysis target’ were limited to two categories, ‘travel’ and ‘movie review’. ‘Travel’ and ‘movie review’ are traditionally the most talked about topics on blogs. As YouTube was recognized as a representative platform for one-person media, the number of channels dealing with travel vlogs as the main content increased significantly, and movie reviews were considered the most preferred cultural content by the public, and there are many related channels. The three analysis driftwoods extracted through continuous comparison of data analysis for the study subjects were categorized and repeated comparative analysis was performed. Among the analysis nomads, in the ‘text composition method’, character-oriented texts had very different formats depending on the characteristics of the blog platform. Vlogs, which are video-oriented texts, have a very high degree of multiplicity of forms compared to blogs. The vlog narrative has a clear overlap between mimetic narration and diegetic narration. In the ‘text consumption method’, the nature of the interface differs depending on the platform, and this has a certain effect on text consumption. Also, in the case of blogs, superficial reading and in-depth reading were selectively performed according to the characteristics of the platform. In the image-centered text, the possibility of affective and resonant reading was high through mimetic narration narrative and social object. In the ‘communication format’, as the PC-based blog entered the mobile era, the degree of interaction decreased, and in YouTube, interaction such as comments between producers and audiences was active.
Subject and sentence change patterns of public service advertisement language: Focusing on print public service advertisements from 1983 to 2020

This study analyzes the changes in the subject and linguistic characteristics of print public service advertisements over 40 years and examines the change in persuasion strategies and expressions of public service advertisement language. First, looking at the change in the subject of public service advertisements in print from around 2000, the fields for social community and natural environment increased, and for economic and social themes it decreased. This indicates a change in the focus of social issues. Next, we examined the changes in a speaker’s attitude and persuasion strategy over time by analyzing the sentence length, calligraphy, and an analysis of ending. The number of words per sentence has been reduced by more than 20% over 40 years, The imperative sentence have increased, the propositive sentence have decreased, Hashibsiyo is decreasing and haeyo is increasing rapidly. The reason for this phenomenon is that the public service advertisement language is changing in a softer, non-deterministic, and subjective direction. This demonstrates that a change in the spirit of the times can be determined through the change of the subject and sentence type of the public service advertisements in print.
The Direction of Literacy Education in the context of ‘Datafication’: Reviewing alternative discussions on Data Literacy

This study calls attention to the present question as to literacy education addressing the change of literacy environments driven by datafication. First of all. issues of datafication are discussed in respect to changes of literacy practices. This establishes the argument requiring the intervention of literacy education for learners subject to risks in the context of datafication such as the loss of agency, prevailing data epistemology. control. In what follow, the concept of ‘data literacy’ is examined for the purpose of mapping out literacy education in datafication. Data literacy has received much attention in response to the rise of Big Data technologies. Discourses surrounded by data literacy are explored by dwelling upon interdisciplinary characteristics and main elements of the concept. Attempts to reconceptualize data literacy. which have been made in accordance with critical insights into Big Data technologies, are also explored. Finally, the direction of literacy education in the age of data based on critical literacy is suggested. It is hoped that this study is able to provide an impetus for further studies on literacy education in the context of datafication.
Woobo Min Tae-won’s Newspaper Article Column Study

This study aimed to find, organize, and analyze the newspaper article columns of Woobo Min Tae-won. Min Tae-won is famous for his essay “cheongchun-yechan”, but his academic research has not progressed. As a professional journalist and writer, he composed noteworthy works in various fields and this study focused on Min Tae-won’s newspaper article columns. They are a valuable source of information that provide insights about his ideological orientation. All of Min Taewon’s columns were identified and cataloged in this study. Including the newly discovered materials. In this article, his columns are arranged by order of presentation. Significant issues and development patterns were outlined by period, and the characteristics and contents of the columns were classified and analyzed. The results of the analysis are summarized as follows. Min Tae-won exhibited characteristics of a journalist pursuing real interests through his columns. He appeared to consciously aim for a pragmatic line that thoroughly reduced the problematic reality of colonial Joseon to modern individual problems and promoted intelligence and character with expertise. His columns are consistent with a pragmatism closely related to the life of the masses rather than an ideology, in a way that calls out the reading public of Joseon rather than the nation. This is interpreted as choosing to serve within the system at the border of censorship and control. Min Tae-won clearly recognized his limitations, demanded professional expertise throughout his literary activities, and emphasized the modern life of an individual faithful to it. This study cataloged Ubo's column data, arranged translations into modern languages, and collected and analyzed undiscovered data. It will be meaningful as it provides basic data for academic research through a bibliographic approach and empirical analysis of Min Tae-won’s column. Moreover, as a figure who pioneered the press in the early days of modernity, he innovated newspaper editing, and simultaneously provided a meaningful foundation for three-dimensional reconstruction of his activities and achievements, greatly influencing form and editing of later newspapers, such as renewing space and using modern language. It is also meaningful in that it will be a useful foundation for a three-dimensional understanding of his activities and achievements, which greatly influenced the form and editing of later newspapers as a pioneer who shaped the media in the early modern period.
Preventing ransomware – doing the impossible?

As cyber criminals and their tools become more sophisticated, organisations are becoming increasingly reliant on their first line of defence – their staff – to combat threats. This requires a high level of awareness. But is it reasonable to expect employees to have such an advanced understanding of the dangers?
Smart City Models Using Applications of the Internet of Things

This work is an endeavor to give a thought regarding future degrees, potential conceivable outcomes, and issues concerning. The Internet of Things and how it may affect the life of the general public sooner rather than later in terms of developing smart urban regions in India particular and generally in the world. In simple terms, the Internet of Things (IoT) is a system of genuine or virtual articles or things implanted with hardware, sensors, programming projects, and scheduled availability that enables these items to gather and exchange information, thereby providing availability to anything and not just for anyone at anytime, anywhere. As a result of the success of India’s 100 Smart Urban Communities initiative, IoT as an idea appears to be quite promising. In India, IoT has a bright future because the government is focusing on, supporting, and experimenting with efforts to improve the infrastructure, as well as organizations concocting innovative products, and businesses are aware of the benefits that the Internet of Things brings to the table. IoT advance could end up being noteworthy on an expansive scale, with further developed research and assets. On the off chance that such advance turns into a reality, the expectations of IoT utilize in India may work out as expected all things considered. The Internet of Things is likely to have a huge impact on our day-to-day lives in cities and will become an integral part of industries such as power, transportation, modern control, retail, utilities administration, medical services, water assets administration, and oil. It has the potential to significantly improve efficiency and our lives. Furthermore, its enormous market potential has piqued the interest of governments, telecom administrators, producers, and industrial clients. The Internet of Things, also known as M2M (which stands for Machines to Mobile, Machine to Machine, Machines to Man, or Man to Machines), cleverly connects people, gadgets, and frameworks. General terms IoT application used to Monitoring and detecting, Plants and Animals, Information providing and utility in the cities. In this chapter discussed various IoT application used to cities build as a smart city.
The psychology of explanation in medical decision support systems

Today, an important role is being played by artificial intelligence (AI) in healthcare systems. Many targeted healthcare applications such as medical diagnostics, patient monitoring, and learning healthcare systems are now available with the aid of AI software programs. Clinical decision-making is enabled by AI algorithms and software. The predictive analysis of the AI algorithms is aided by a computerized predictive analysis flowchart that enables it to separate, organize, and check for patterns from complex data and draw a conclusion with some degree of probability, which will enable the healthcare service provider to make a quality decision within a short time. The AI algorithm does not make the final decision going by the existing legal frameworks at the various jurisdictions but rather they are used as supporting tools for diagnosis or a screening tool, instead of doing the usual medical tasks being done by the doctor in a hospital setting. Many studies in the literature are available today on research with patients&apos; electronic health records deployed by AI-assisted data analysis and learning tools. They use an electronic secure computer which does the records keeping instead of the traditional way of paper records. AI applications are being surged by the recent advancement in machine learning (ML), and the improvement of AI applications in health solely depends on the success in designing the AI algorithm, which is called ML. Only a proper and good algorithm design can guarantee the set goals for AI systems. The autonomous system that can perceive, learn, decide, and act on its own will only be possible by continued advances in AI algorithms known as ML. Autonomous machines are simply self-operating machines, which can carry out their assigned task without human intervention. However, the machine&apos;s inability to explain their decision and action taken by them to human users has posed a big limitation to their adoption and effective use. The deployment of more intelligent, autonomous, and symbiotic systems will provide a good solution to the challenges being faced in the healthcare system. Thus, this chapter presents the psychology of explanation in medical decision support systems (MDSS). The psychological perspectives on explanation in healthcare systems with a binocular focus on MDSS are highlighted.
Understanding cancer patients with diagnostically influential factors using high-dimensional data embedding

Analysing breast cancer data is a long-established research topic from both medical diagnosis and data modeling perspectives. Enormous predictive models have been employed in modeling breast cancer data, e.g., predicting a patient&apos;s survival rate given certain medical circumstances and a patient&apos;s demographics. However, these predictive models tend to take a black-box approach to the modeling and therefore can hardly provide any explainable results to be applied for diagnostic purposes, in particular, if neural network-based models are utilised. On the other hand, identifying diagnostically influential factors with exploratory descriptive models has been proven difficult due to the high dimensionality of breast cancer data under consideration. For instance, the breast cancer data provided by SEER, The Surveillance, Epidemiology, and End Results Program, typically has more than 100 dimensions of numeric and categorical data types and could expend to about some 1,000 dimensions for analysis if orthogonal (one-hot) encoding is applied. Hence, effectively interpreting and understanding high-dimensional data becomes crucial in modelling cancer data, and it is because of this that dimensionality reduction algorithms and manifold learning algorithms have been studied intensively and many relevant algorithms are available, with each having pros and cons of its own. In this chapter, a comparative study is presented aiming at providing visualized, explainable insights in breast cancer survival rate analysis and identifying critical influential factors that strongly determine the likelihood of a patient&apos;s survival. Two dimensionality reduction algorithms are considered in this study for comparison purpose: one is a typical and popular t-distributed stochastic neighbor embedding (t-SNE) algorithm and another is a relevant new same degree distribution (SDD) algorithm. The relevant experiments have demonstrated that based on the same embedding performance assessment metrics, the SDD algorithm can achieve much better data embedding results which could be impossible or difficult if t-SNE is used. Furthermore, using the reliable embedding results from SDD, meaningful and explainable factors have been identified that reflect crucially the similarities of the patients who have survived and the diversities of the patients who, unfortunately, have died. Clusters of patients who survived are clearly recognizable in a two-dimensional embedding space, whereas the embedded points of patients who died are significantly scattered in the space. The entire package of the codes used for the analysis is available for replication.
Efficient Reconstruction of Stochastic Pedigrees: Some Steps From Theory to Practice

In an extant population, how much information do extant individuals provide on the pedigree of their ancestors? Recent work by Kim, Mossel, Ramnarayan and Turner (2020) studied this question under a number of simplifying assumptions, including random mating, fixed length inheritance blocks and sufficiently large founding population. They showed that under these conditions if the average number of offspring is a sufficiently large constant, then it is possible to recover a large fraction of the pedigree structure and genetic content by an algorithm they named REC-GEN.We are interested in studying the performance of REC-GEN on simulated data generated according to the model. As a first step, we improve the running time of the algorithm. However, we observe that even the faster version of the algorithm does not do well in any simulations in recovering the pedigree beyond 2 generations. We claim that this is due to the inbreeding present in any setting where the algorithm can be run, even on simulated data. To support the claim we show that a main step of the algorithm, called ancestral reconstruction, performs accurately in an idealized setting with no inbreeding but performs poorly in random mating populations.To overcome the poor behavior of REC-GEN we introduce a Belief-Propagation based heuristic that accounts for the inbreeding and performs much better in our simulations.