Reviewerly/exHarmony huggingface dataset:
비전문가 통역사례의 통역교육적 함의에 대한 고찰 - 샤론 최(Sharon Choi)의 통역사례를 중심으로 -

Sharon Choi became an instant celebrity in both Korea and beyond as the videos of her eloquent English interpreting for the Academy-winning Parasite’s director Bong Joon-Ho, went viral on social media. The study aims to explore the possibility and implication of using Sharon Choi’s interpreting case for education purpose, although she is a non-professional or a non-certified interpreter. Using the videos of Sharon Choi’s interpreting on social media, 53 graduate students majoring in interpretation and translation in Korea participated in survey, which was conducted to look into how students evaluated Sharon Choi’s interpreting at the beginning of semesters of 2020. The survey results show that Sharon Choi helped students to better understand the role of interpreter and interpreter competence for outstanding consecutive interpreting service, despite her limitation as a non-professional interpreter. The survey has also provided unique opportunity for discussion on the conditions for successful interpreting as well as competitive edge students should have as they launch and continue their training at an accredited graduate school to become professional interpreters and translators.
Output Without Delay: A π-Calculus Compatible with Categorical Semantics

The quest for logical or categorical foundations of the π-calculus (not limited to session-typed variants) remains an important challenge. A categorical type theory correspondence for a variant of the i/o-typed π-calculus was recently revealed by Sakayori and Tsukada, but, at the same time, they exposed that this categorical semantics contradicts with most of the behavioural equivalences. This paper diagnoses the nature of this problem and attempts to fill the gap between categorical and operational semantics. We first identify the source of the problem to be the mismatch between the operational and categorical interpretation of a process called the forwarder. From the operational viewpoint, a forwarder may add an arbitrary delay when forwarding a message, whereas, from the categorical viewpoint, a forwarder must not add any delay when forwarding a message. Led by this observation, we introduce a calculus that can express forwarders that do not introduce delay. More specifically, the calculus we introduce is a variant of the π-calculus with a new operational semantics in which output actions are forced to happen as soon as they get unguarded. We show that this calculus (i) is compatible with the categorical semantics and (ii) can encode the standard π-calculus.
EFFECTS OF USING AUDIO-MATERIALS ON STUDENTS’ PERFORMANCE IN LISTENING COMPREHENSION IN SENIOR SECONDARY SCHOOLS IN GWAGWALADA, ABUJA

This study titled: ‘Effects of Using Audio-materials on Students’ Performance in Listening Comprehension in Senior Secondary Schools in Gwagwalada, Abuja’, adopted the descriptive survey design and quasi-experimental method of research design in the collection of sample opinions. The population comprised of all the 4,380 students of the 8 conventional public Senior Secondary Schools in the area. The simple random sampling technique was used to sample 100 SSS2 students from the population. The study used questionnaire and test to elicit information from respondents. The instruments were tested to ensure that they are valid and reliable for the study. The simple percentage, mean and t-test were used to analyze the data. After the analysis, the study found that the topic of the listening comprehension text used, audibility of teachers’ voice, clarity of the audio-materials used, type of audio-materials used, length of the listening comprehension text, oral form of assessment, written form of assessment, questioning as a teaching strategy, language of the listening text and the use of pictures, realia, audio-material and teaching methods are some of the specific problems affecting the effective teaching of listening comprehension in Senior Secondary Schools. The study also found that there is a significant difference in listening comprehension performance between students taught using audio-materials and those taught using classroom text at the literal, inferential and critical levels. Based on these findings, the study recommends that government at all levels and school management should ensure that adequate and quality audio-materials such as tape-recorder, language laboratory, microphone, radio, ear phones etc. are provided for teachers and students, in order to ensure effective teaching and learning of listening comprehension, teachers should ensure that audio-materials are used in the teaching of listening comprehension in Senior Secondary Schools and as well as adopt basic strategies for approaching literal, inferential and critical level of listening comprehension.
Sediment thickness in the Bay of Bengal and Andaman Sea compared with topography and geophysical settings by GMT

The study presents an analysis of the sediment thickness compared with bathymetric and geophysical settings in the Bay of Bengal and Andaman Sea, Indian Ocean. It uses a combination of the high-resolution data: topographic GEBCO, satellite and marine gravity anomalies, EGM2008 geoid and GlobSed to visualize the correlation between relief, gravity and trends in continent-ocean sediment transport. The results include thematic maps and 3D model showing increased sediment thickness in the Bengal Fan (8,0 to 8,2 km) in NE direction with maximum in Ganges Fan (16,2 km), and southward decrease in the Andaman Sea from Irrawaddy river mouth (6-7 km) to the Strait of Malacca (1-2 km). All maps and 3D model have been plotted by Generic Mapping Tools (GMT) cartographic scripting toolset version 6.0.0.
Peningkatan Minat Sastra Melalui Keterampilan Menulis Cerpen di SMPN Satu Atap 4 Purba Sumatera Utara

Learning to write can be started by reading. In addition to reading, the improvement of writing skills is also determined by motivational factors that come from within the writer because writing cannot be separated from activities that are continuously nurtured and developed. For this reason, we from the PKM Team, Sasindo Unpam lecturers, carried out outreach activities with the theme Increasing Interest in Literature Through Short Story Writing Skills at SMPN Satu Atap 4 Purba SUMUT as a tangible manifestation of lecturers' dedication to the community to devote the Tri Dharma of Higher Education. From a series of short story writing training activities at SMPN Satu Atap 4 Purba SUMUT, the Community Service Team (PKM) of Sasindo Unpam lecturers showed that students of at SMPN Satu Atap 4 Purba SUMUT  were interested in this activity. This is evidenced by the many questions asked by students. After being given an explanation regarding short story writing techniques, the students already know how to write short stories and develop plots and plots in writing short stories. Keywords: short story; writing training; at SMPN Satu Atap 4 Purba SUMUT
A Hybrid Approach with Machine Learning Towards Opinion Mining for Complex Textual Content

Opinion Mining is increasing adopted in business enterprises where sophisticated analytical approaches are subjected to the opinion in the form of text from the consumer. Review of existing literature shows that there are still an open scope to further improve upon this technique. The proposed study considers a case study of a problem where the opinion is shared in the form of text as well as symbol/emoticon, which is quite challenging for any existing text analytics to extract the knowledge. Therefore, the proposed paper introduces a novel solution where two variants of approaches has been used for this purpose i.e. hybrid approach and machine learning approach in order to perform opinion mining from such complex textual content. The study outcome shows that proposed system offers satisfactory processing time and accuracy in large dataset of text.
I termini di colore nel Commentario-dizionario della moda di Cesare Meano: retrodatazioni e prime attestazioni

The essay focuses on the Commentario-dizionario italiano della moda by Cesare Meano (first published in 1936), a dictionary created under the well-known fascist linguistic policy. The Commentario contains a number of entries concerning the fashion world, including many chromonyms. This research analyses some of these chromonyms, which are not documented in lexicography before the work of Meano. The essay is structured as a wordlist. Each entry contains the description of the colour term provided by Meano himself, the description of the colour given by modern dictionaries and some examples of the chromonym in use, found in the corpus of Google Books. The paper will enrich the range of chromonyms known up to the present day. It will also be possible to recover the chromatic meaning of some already familiar nouns, documented in lexicography without the same specific value.
Enhanced Whale Optimization Technique-Based DT Algorithm for Calculating Homogeneous Samples using Entropy

A decision tree is built top-down from a root node and involves partitioning the data into subsets that contain instances with similar values (homogeneous). Algorithm uses entropy to calculate the homogeneity of a sample. If the sample is completely homogeneous the entropy is zero and if the sample is equally divided then it has entropy of one.Whale Optimization Technique based decision tree which is used to improve their efficiency for handle the feature prediction. Because it provides high precision and quick classification.Whale optimization operators such as encircling features, search for features, and hunting features. Collect the student dataset from online. It contains many features about student. The first operator performs encircled the available features and after collect the optimized features based on widely used in educational mining. In this paper, the predictive performance of DT algorithm is enhanced by proposing the whale optimization technique that will handle the stepwise features prediction and even present a simplest calculation of entropy and information gain.
Mixed reality technology in fibula flap preparation clinical teaching application

Objective: To explore the effect of the application of mixed reality (MR) technology in clinical teaching of fibular flap preparation. Methods: Twenty residents from the Department of Oral and Maxillofacial Surgery in School of Stomatology, the Fourth Military Medical University in 2018 and 2019 participated in the present study. They were randomly divided into two groups according to the method of random drawing. The teaching content of the two groups was fibular flap preparation. The MR group was taught by using the new teaching mode which was mainly based on MR, while the conventional teaching group was educated by conventional teaching method. At the end of the training, the theoretical knowledge and operational skills of the residents were statistically analyzed to evaluate the learning effect. Questionnaire survey was also conducted. Each item in the questionnaire was scored between 0 and 5, representing poor to excellent. Results: The theoretical scores of MR group (91.4±4.4) were higher than that of the conventional teaching group (83.3±3.2) (P 0.05). Conclusions: The application of MR technology achieved a better teaching effect, which could help residents to deeply understand the methods of fibular flap preparation, and showed a broad application prospect.
Blockchain Applicability in Internet-of-Things (IoT) Environment

This chapter introduces the importance of designing Internet-of-Things (IoT) applications that deploy blockchain technology. We discuss when we should choose to apply blockchain technology for an IoT and highlight some existing blockchain-based IoT (BIoT) applications. As the IoT devices may have resource-limitations issues, and also prone to attack, we discuss when and how to integrate blockchain in the IoT applications. To this end, we analyze some current challenges of BIoT applications and present some further challenges and recommendations.
Uncertainty-Based Semantics for Multi-Agent Knowing How Logics.

We introduce a new semantics for a multi-agent epistemic operator of knowing how, based on an indistinguishability relation between plans. Our proposal is, arguably, closer to the standard presentation of knowing that modalities in classical epistemic logic. We study the relationship between this semantics and previous approaches, showing that our setting is general enough to capture them. We also define a sound and complete axiomatization, and investigate the computational complexity of its model checking and satisfiability problems.
Signal flow training with virtual simulations as a co-curricular tool

Traditional pedagogical approaches to signal flow training were forced to be rethought amidst the Covid-19 pandemic. This unprecedented event forced educators to reevaluate curriculum and tools for distance learning in a rapid timeframe. In an effort to adapt courses to online formats, educational programs revealed the growing consensus of virtual simulations being effective for console and signal flow training. The objective of this paper is to document the impact of virtual simulations in audio education amid social restrictions and highlight its relativity for post-pandemic conditions. Observing the progress of educators and students who used virtual simulations in their studio or live sound courses combined with survey and user engagement data collected over the semester to support the results. © 2021 Audio Engineering Society. All rights reserved.
Opinion Mining With Hotel Review using Latent Dirichlet Allocation-Fuzzy C-Means Clustering (LDA-FCM)

Indian tourism plays a significant role in Indian economic growth. The hotel booking and other stay-related inquiries are more important for every tourism manager. The tourist from the various country books their hotels based on the rating and reviews. The most remarkable improvement achieved through online hotel booking by customer review and rating. Customer opinions are more important for the growth of every business. This paper modelled the opinion mining system for hotel review. The wealth of customer thoughts and feelings has been identified by the review, and it also has a chance for the customer to reach their genuine opinion on social media. Most customers make online reviews and ratings. The opinion mining makes it very simple with a natural language process (NLP) that computers can easily understand every customer's human feelings and emotions. In this work, the NLP techniques of Part of Speech (POS) tagging, LEXICAL analysis, Latent Dirichlet allocation (LDA) has been used for an efficient opinion mining process. The fuzzy c-means clustering (FCM) has been used to cluster the opinion's positive and inclusive class determination. The proposed LDA-FCM based model works more efficiently than the conventional FCM algorithm. The performance has been evaluated by using Accuracy, precision, recall, and f1-score. The performance has been compared with the related work..
Adaptive Learning Rates with Maximum Variation Averaging

Adaptive gradient methods such as RMSProp and Adam use exponential moving estimate of the squared gradient to compute coordinate-wise adaptive step sizes, achieving better convergence than SGD in face of ill-conditioned or noisy objectives. However, Adam can have undesirable convergence behavior due to unstable or extreme adaptive learning rates. Methods such as AMSGrad and AdaBound have been proposed to stabilize the adaptive learning rates of Adam in the later stage of training, but they do not outperform Adam in some practical tasks such as training Transformers. In this paper, we propose an adaptive learning rate principle, in which the running mean of squared gradient is replaced by a weighted mean, with weights chosen to maximize the estimated variance of each coordinate. This gives a worst-case estimate for the local gradient variance, taking smaller steps when large curvatures or noisy gradients are present, which leads to more desirable convergence behavior than Adam. We prove the proposed algorithm converges under mild assumptions for nonconvex stochastic optimization problems, and demonstrate the improved efficacy of our adaptive averaging approach on image classification, machine translation and natural language understanding tasks. Moreover, our method overcomes the non-convergence issue of Adam in BERT pretraining at large batch sizes, while achieving better test performance than \lamb~in the same setting.
Designing a Web-Based Information System to Monitor School-Based Nutrition Promotion Program Implementation in Indonesia

Objective: The purpose of this study was to design a very first web-based information system to monitor School-based Nutrition Promotion (SBNP) program implementation using the experience of Nutrition Goes to School (NGTS) Program in Indonesia.Method: The development of this information system consisted of two main activities, namely: (1) identifying the key monitoring indicators, and 2) developing the information system through several specific steps, such as providing high-fidelity mockup, testing the usability from the high-fidelity mockup, developing the application based on usability test result, and evaluating the application using User Acceptance Test (UAT) form to check the functionality of the system to make sure that the target users can input the required information and get back usable result for further needs (n=5). Qualitative information based on Technology Acceptance Model (TAM) was also obtained to understand both the perceived usefulness and ease of use of the system from user’s perspective.Result: This study found that the monitoring indicators were able to reflect the variations in the progress of activities conducted by the partner-schools in the NGTS Program and 100% of the system features were executed according to their functions. Respondents confirmed that the information system was easy to use and beneficial to them in reporting the activity progress of their schools as well as to the Southeast Asian Ministers of Education Regional Center for Food and Nutrition (SEAMEO RECFON) in monitoring the NGTS program implementation.
공급사슬 협업활동과 수출성과 간의 경로에 관한 연구 : 유연성과 모듈화의 매개효과를 포함하여

The purpose of this study is to examine the relationship between supply chain collaboration, flexibility, product modularization and export performance from the perspective of supply chain in consideration of recent trade environment and market changes. 7 hypotheses were analyzed empirically by the PLS structural equation model. The results show that supply chain collaborative activities has a positive impact on flexibility and product modularization. In addition, flexibility affects product modularization and export performance. Flexibility also serves as a partial mediating effect between collaborative activities and export performance.
Linear Promises: Towards Safer Concurrent Programming (Artifact)

We present a compiler for a concurrent programming language, which utilizes linear typing to create a safer promise abstraction. The compiler is implemented in OCaml and produces source-level Java code. We provide example programs to demonstrate use of the language, as well as translations of incorrect JavaScript code from StackOverflow to showcase the ability of our language to catch many classes of bugs. Finally, we provide a minimal runtime environment to allow the execution of compiled programs.
A Preliminary Analysis of Offensive Language Detection Transferability from Social Media to Video Live Streaming Platforms

Given the growing popularity of online games and eSports, the young generation is increasingly enjoying its video live streaming service. Offensive conversations often appear against the streamer or audience in the streaming channel’s chatroom. This research aims to detect offensive language appearing in video live streaming chats. Focusing on Twitch, the most popular live streaming platform, we created a dataset for the task of detecting offensive language. We collected chat posts across four popular game titles with genre diversity (i.e., competitive, violent, peaceful). To make use of the similarity in offensive languages among social media, we adopt the state-of-the-art models trained over the offensive language on Twitter to our Twitch data (i.e., transfer learning). Our results show that transfer from social media to live streaming is effective. However, the similarity measures we proposed show less correlation on the transferability prediction.
A study on Korea's countermeasures following Japan's export control measures

Purpose : In this study, a questionnaire survey was conducted to prepare Koreans for their awareness of Japan's trade retaliation and how to overcome it. Through this, the purpose of this study is to prepare countermeasures for the formation of a value chain for intermediate parts, which are Korean parts and material products, to foster SMEs, and to establish external trade relations. Research design, data, methodology : The analysis questionnaire was prepared using a nominal scale and a sequential scale, and cognitive surveys were conducted regarding general export restrictions and boycotts of Japan's export regulations. The Likert 5-point scale using 1 point was used, and the collected data was analyzed by frequency, cross-analysis, and t-test of the corresponding sample using the SPSS 26.0 program. Results : The result of the analysis of the rational solution should firstly be held for the Korea-Japan Summit. The second most responsive item is the withdrawal of Japan's voluntary export restrictions. The third is a rational solution to the Korea-Japan problem through compensation and apology for forced employment by Japanese companies. Fourth, it is the WTO's complaint and the judgment accordingly. Fifth, the US mediation should solve the problem. Conclusions : Looking at the stage of industrial development between Korea and Japan, Korea's global competitiveness, technology, product productivity, and GVC (Global Value Chain) have been established, and have entered into an equal relationship. Therefore, it is true that Korean university students are generally responding to Japan's export restrictions, and are also stubborn in terms of history.