Reviewerly/exHarmony huggingface dataset:
Learnersâ€™ Attitude towards Online Education during the COVID-19 Pandemic with Focus on ESP

This article presents the results of a study that analyzed ESP learnersâ€™ perception of the shift to online classes during the academic year 2020-2021, forced under the restrictions of the COVID-19 pandemic. The results emphasize a general positive attitude towards the online format, with some of the frustrations encountered by other similar studies. Most of the negative aspects indicated by the respondents can be mitigated in time and adjustments can be made to rise to the challenge of adapting ESP classes to the online medium, a format that may represent the future of education.
한국과 대만의 제2외국어 교육 정책 비교 연구－고등학교 제2외국어 교육과정 변천을 중심으로－

‘Language’ is an important tool of communication and thoughts for human being. And the people’s ability of foreign languages of a country represents its national competitiveness and could be a criteria of a way of thinking. Therefore, foreign language education is very important to maintain the relationship between countries in the era of internationalization. In addition, using and speaking foreign languages could help all of us to exchange and share the thoughts and culture with others in foreign countries.When a country establishes a policy of foreign language education, it is necessary to consider a various kinds of factors beyond the basic aspects of language education. Also, foreign language education could represents cultivating intellectual capacity of the people, and furthermore, it has very much related to future development of the country in the fields of society, politics and economy.Since geographically, the two countries, Taiwan and Korea are very close each other, economic performances between the countries have been very active. The purpose of this paper is to help establish the second foreign language education policy and prepare for improvement plans in the future by examining the similarities and differences between the high school second language education policies of Taiwan and Korea.
Video-Based Deep Face Recognition Using Partial Facial Information

Nowadays, computer-based face recognition plays a vital role in the security system. A significant number of video-to-face recognition models are applied to complete front view face images, whereas they are not used on a partial view of facial images. This study explores and lists new face recognition technology for the partial image data set due to this constraint. A novel approach to the face recognition model is applied in a partial view of face images obtained. A new analysis is applied using machine learning models on partial view face images and trained for finite face recognition data. Identify recognition accuracy rate and time to various facial parts such as a face layer, forehead, eyebrows, cheek, eyes, and full face. The implementation is performed using a convolution neural network framework with visual geometric group functions for the feature extraction process. The classification is done using knowledge-based SVM and classifier similarity methods.
Factors That Cause Difficulty Learning Japanese for Students of Class XI IPA 3 SMAN I Pasawahan

This study aims to determine the internal and external factors that cause student learning difficulties in mastering basic Japanese subjects for student of Class XI IPA 3 at SMAN 1 Pasawahan.The method used in this study is the method of observation, and the population is Class XI IPA 3 SMAN 1 Pasawahan because those who have a class average value below the minimum class standard (KKM). The number of samples used in this study were 31 students consisting of 19 female students and 12 male students. The data collection technique used was distributing questionnaires to determine the factors of student learning difficulties both internally and externally in following Japanese language subjects which were given to all class XI IPA 3 students of SMAN 1 Pasawahan.The results showed that the internal and external factors that cause learning difficulties in Japanese XI IPA 3 SMAN 1 Pasawahan based on the results of the questionnaire that have been submitted, Internal Factors (factors that come from within students) Lack of student interest in Japanese subjects, indicated by at least the number of students who have Japanese language textbooks outside the Student Work Sheet (LKS) given by the school. Lack of students' ability in following Japanese language subjects, this is shown by students who feel that Japanese is not an easy subject, and find it difficult when learning Japanese subjects. External factors (factors that come from outside the student), namely the lack of parents' concern for student learning activities, this is indicated by the lack of parents who remind their children to study, especially Japanese subjects.
PENERAPAN SISTEM INFORMASI AKUNTANSI PENJUALAN TUNAI PADA PT. BUMI SARANA BETON MAKASSAR

This research aimed at finding out the accountancy information system on cash sale at PT. Bumi Sarana Beton Makassar. The subject of this research was PT. Bumi Sarana Beton Makassar and the object of this research was the accountancy information system on cash sale. The technique of data collection was interview, observation, and documentation. The method of data analysis was descriptive method. The result of this research showed that the accountancy information system on cash sale at PT. Bumi Sarana Beton Makassar has been done according to the company’s needs. On the other hand, there were some weaknesses that occurred such as double function of some directors. In addition, some directors have double job in marketing such as receiving orders from the customers.
The Effect of Qualification and Certification Which Mediated Dynamic Capability on Export Performance Under the WTO TBT Conformity Assessment System

The purpose of this study is to contribute to the improvement of the international competitiveness of import and export companies and to provide guidelines for the establishment of government policies related to the conformity management system by confirming through empirical analysis of how the acquisition of qualification certification mediated through dynamic capability under the WTO TBT conformity assessment system. In this study, multiple regression analysis method based on resource criteria perspective was used, and the focused validity of the study was verified through reliability analysis and factor analysis, and distinction validity was verified through correlation analysis. The results of the empirical analysis of this study show that the acquisition of qualification certifications have a positive effect on the export performance of a company, and in particular, the control effect of technology and marketing capabilities have a great effect. These results indicate that companies that have obtained qualification certifications to which international standards are applied have a positive effect on improving their export performance and increasing the company's value in the international market. The distinction of this study is as follows: To the government or local governments, it provides policy guidelines in terms of laws and systems related to the acquisition of international qualification certification, and to the trading companies, it provides implications that companies should do their best to improve the competitiveness of human and material resources in order to obtain international qualification certification that complies with international standards and technical regulations required by relevant countries or industries
Twenty-first-century horizons of development

Key features of development in the 21st century are the rise of Asia, Eurasia and emerging economies, and the growing role of the state in development. Two hundred years of North-South hegemony (1800-2000) have given way to an East-South turn. The Asia-led world economy takes over from the Atlantic world economy. Part of this is the end of neoliberalism as a leading model and the waning and end of American hegemony. The Washington consensus relied on market forces as drivers of growth; with the rise of Asia states lead economic development. The rise of Asia resumes oriental globalisation and goes back to the rise of Japan and the East Asian tiger economies (1990s). Industrialisation and urbanisation in Asia have become the main driver of development in the global South. The commodities super-cycle (2003-2011) was driven by demand in Asia.
LibGuides: Canvas for Instructors: Course Workflow and Content

This guide provides an overview of Canvas, Guilford College's LMS, for instructors who use it as an online home for their courses.
Diurnal Micro Climatic and Solar-Radiation Profile of the Rivers State University Site, Port Harcourt, Nigeria

This study analyses the surface heat fluxes of the Rivers State University site. Key meteorological variables such as solar insolation were sourced from an automatic weather station within the study environment for one year. Results showed that mean diurnal values for sensible, latent, ground heat fluxes were 40 W1m2, 20 W1m2 and 60 W1m2 respectively. Diurnal net radiation flux range was 0.1 - 427 W1m2 with a mean solar insolation peak of 287 W1m2at12:00 noon. Mean surface reflection was 26 W1m2 with a Bowen ratio of 1.2. Air mixing ratio ranged from 21 28 g1kg with minimal surface layer turbulence. Mean energy content of ambient atmosphere that instigates air instability was 92 W1m2. Mean ambient air temperature of 30 oC showed that the environment is humid and capable of retaining heat for longer period of time with positive sensible heat flux. Dispersive potential of the atmosphere is below moderate and will slowly disperse emissions introduced to it. However, with the environment being dominated by mixed turbulence, dispersion will be moderate in worst case pollution scenarios. It is recommended that the environment maintains open spaces in order to moderate the interferences of energy fluxes that could enhance heat stress.
간호대학생의 신체이미지와 건강증진생활양식 : 그릿의 매개효과

Purpose: This study aims to investigate the mediating effect of grit in the relationship between body image and health promotion lifestyle for nursing students. It was implemented to present basic data for the development of educational programs to establish the health promotion lifestyle of nursing students. Methods: The participants of this study were 169 nursing students in three universities in G City, J Province. Data were descriptive statistics, t-test, ANOVA, Pearson correlation analysis. Also mediation analysis was performed according to the Baron and Kenny method and Sobel test. Results: Health promotion lifestyle is positively correlated with body image(r=.53, p<.001), grit (r=.37, p<.001), and body image is positively correlated with grit(r=.33, p<.001). The grit showed a partial mediating effect between the body image and the health promotion lifestyle(Z=3.21, p<.001), the positive the body image(β=.46, p<.001), the higher the grit(β=.22, p<.001), the healthier the health. The level of health promotion lifestyle increased, and the explanatory power to explain the health promotion lifestyle was 33%. Conclusion: Therefore, in order to improve the health promoting lifestyle level of nursing students, it is important to change their perception so that they can view their body image positively. In addition, it suggests that nursing students need to cultivate grit so that they can continuously pay attention to and strive for their health promotion lifestyle.
Causal effect of regulated Bitcoin futures on volatility and volume

In December 2017, two leading derivative exchanges, CBOE and CME, introduced the first regulated Bitcoin futures. Our aim is estimating their causal impact on Bitcoin volatility and trading volume. Employing a new causal approach, C-ARIMA, we find that the CME future triggered an increase in both outcomes. There is also evidence of a positive volume-volatility relationship and that the effect on volatility was partially due to the higher trading volumes induced by the launch of the contract. After controlling for the effect on volumes, we find that the CME instrument caused Bitcoin volatility to increase by more than double.
Segmentation Method for Nuclei Cell Image Using Hybrid Techniques

In the medical applications, the nuclei images are the most important for classifying the tumors into normal or abnormal (benign and malignant). The important stride in image histometric and cytometry is an automatic segmentation and clustering of cell nuclei. Despite substantial progress, there is a requirement to enhance speed, precision, automation level, and adaptation to modern implementations. A cancer diagnosis for early, cell nuclei automated segmentation is decisive such as characteristics of the nucleus of the cell are fundamentally related to an evaluation of maliciousness. Very little research work was done implemented in cell nuclei segmentation of automated on pleural effusion images cytology, that is seedy treated through previous techniques. Furthermore, cytology pleural effusion image is still defying because of an assortment of cells, the poor contrast of images, and overlapping cells. The recent cancer of cervical diagnosis, Pap smear examination rolls an essential role in that cells of the human obtained of the patient of the cervix are analyzed of precancerous modification. The cells expert is performing the manual analysis of these cells and this work takes time-consuming and labor intensive. In this paper, we present a novel approach of obtaining a Nuclei cell segmentation method using a hybrid technique and evaluate this technique using the Mean Square Error (MSE) between the centroid from image segmentation and its original label. Two types of image data sets, benign and malignant images, are implemented in this work. The result obtained in this work shows a confident approach of segmentation for nuclei cell image. The average rational error of the MSE obtained in this work is about 11.361 %.
Separating geochemical anomalies by concentration- area, concentration-perimeter and concentration-number fractal models in Qaen region, East of Iran

The separation of geochemical anomalies from the background plays a pivotal role in geochemical exploration. Fractal and multifractal modeling of geochemical data has been recently used by numerous geoscientists. Three fractal methods were used to identify elemental geochemical anomalies in a case study from the east of the Qhaen region, southern Khorasan Province, East of Iran. These methods include concentration–area (C–A), concentration–perimeter (C–P), and concentration -number(C-N) methods. Copper mineralization occurs as vein and veinlet. Based on the analysis of heavy mineral samples, Cu contents are also observed in the southeastern, northern, and eastern parts of the Qhaen ore district, which are consistent with the results of the C–A fractal model and are genetically correlated with the andesitic unit. Indeed, after fieldwork and comparing the types of fractal models calculated, it can be concluded that the results obtained from the concentration-area method in this area were more efficient than other methods and are closer to reality.
SolType: Refinement Types for Solidity.

As smart contracts gain adoption in financial transactions, it becomes increasingly important to ensure that they are free of bugs and security vulnerabilities. Of particular relevance in this context are arithmetic overflow bugs, as integers are often used to represent financial assets like account balances. Motivated by this observation, this paper presents SolType, a refinement type system for Solidity that can be used to prevent arithmetic over- and under-flows in smart contracts. SolType allows developers to add refinement type annotations and uses them to prove that arithmetic operations do not lead to over- and under-flows. SolType incorporates a rich vocabulary of refinement terms that allow expressing relationships between integer values and aggregate properties of complex data structures. Furthermore, our implementation, called Solid, incorporates a type inference engine and can automatically infer useful type annotations, including non-trivial contract invariants. To evaluate the usefulness of our type system, we use Solid to prove arithmetic safety of a total of 120 smart contracts. When used in its fully automated mode (i.e., using Solid's type inference capabilities), Solid is able to eliminate 86.3% of redundant runtime checks used to guard against overflows. We also compare Solid against a state-of-the-art arithmetic safety verifier called VeriSmart and show that Solid has a significantly lower false positive rate, while being significantly faster in terms of verification time.
DIAGNOSA PENYAKIT KULIT PADA MANUSIA MENGGUNAKAN METODE FORWARD CHAINING DAN CERTAINTY FACTOR

The skin is the outermost part of the human body tissue that functions to wrap the body and provide protection for the tissues under it. In the human body, the skin includes all general tissues, including facial skin. If the skin has problems such as inflammation, reddish rash, itching, or infection, it can cause skin diseases ranging from mild to severe. In this study, will be explained about a website-based expert system by implementing the Forward Chaining and Certainty Factor methods to help diagnose and calculate the percentage of skin disease,  so that the general public can recognize the skin diseases they suffer from. The community can detect skin diseases by selecting symptoms and diseases based on the conditions experienced and obtaining information on solutions and early management of the disease they suffer from.
The Effectiveness of Using Communication Game Toward Students Speaking Skill

This article discusses about the practical in English teaching and science. The technique is Communication Games. To seek the effectiveness of using communication game to improve pupils speaking ability, it would give the speaking test to the pupils. The test was about giving the point of vocabulary, grammar, and comprehensions on speaking. The way is pupils divided into a group. One group consist of two-person, one pupil as A and another one is B and give them a different picture to performance the game, from those dissimilar pictures, obviously they have dissimilar info too and also, they will express their own idea to describe the picture in front of the class. This practical can be giving several paybacks among educators and the pupils. For the educators can develop their technique in learning and the for the pupils, they can enjoy and feel interest in obtaining ability in English.
Multi-Document Keyphrase Extraction: A Literature Review and the First Dataset.

Keyphrase extraction has been comprehensively researched within the single-document setting, with an abundance of methods and a wealth of datasets. In contrast, multi-document keyphrase extraction has been infrequently studied, despite its utility for describing sets of documents, and its use in summarization. Moreover, no dataset existed for multi-document keyphrase extraction, hindering the progress of the task. Recent advances in multi-text processing make the task an even more appealing challenge to pursue. To initiate this pursuit, we present here the first literature review and the first dataset for the task, MK-DUC-01, which can serve as a new benchmark. We test several keyphrase extraction baselines on our data and show their results.
IMPLEMENTASI SELF-REGULATED LEARNING DALAM MENANGANI KESULITAN BELAJAR SISWA UNDERACHIEVER

The purpose of this research is to know Self-Regulated Learning Implementation in Dealing with Student Learning Difficulties Underachiever. This research is a descriptive qualitative research with field research type. Research subjects of eighth grade students who have experienced underachiever. Data were collected using interview technique, observation and documentation. Data analysis techniques used are interactive data analysis and checked with triangulation. The results showed that the treatment used to improve self-regulated learning with motivational training or commonly called Achieverment Motivation Training (AMT), tutoring, learning assistance program.
A Unified Ontology-Based Data Integration Approach for the Internet of Things

Data integration enables combining data from various data sources in a standard format. IoT applications use ontology approaches to provide a machine-understandable conceptualization of a domain. There are several approaches to the problem of data integration for the IoT. These approaches include ontologies like SOSA (sensor, observation, sample, and actuation), the sensor network model (SSN), and Geospatial (GEO), which have been introduced into a partial schema. We propose a unified ontology schema approach to solve all IoT integration problems at once. The data unification layer maps data from different formats to data patterns based on the unified ontology model. This paper proposes a middleware consisting of an ontology-based approach that collects data from different devices. IoT middleware requires an additional semantic layer for cloud-based IoT platforms to build a schema for data generated from diverse sources. The data are processed using a combination of ontologies and semantic web technologies. We tested the proposed model on real data consisting of approximately 160,000 readings from various sources in different formats like CSV, JSON, raw data, and XML. The data were collected through the file transfer protocol (FTP) and generated 960,000 resource description framework (RDF) triples.We evaluated the proposed approach by running different queries on different machines on SPARQL endpoints to check query processing time, validation of integration, and performance of the unified ontology model. The average response time per RDF triple as storage size was approximately 0.298 seconds.
Algorithmic Composition

Composers have long-used clearly defined rules, procedures, and guiding principles in their compositional processes. Wind chimes, music boxes, and musical dice games are all algorithmic approaches that predate the use of computers, and, yet, today, computer-based algorithms facilitate composition in an efficient and ubiquitous way. This chapter explores algorithmic approaches to composing Western tonal music, electroacoustic music, algorithms used in video games, and other use cases that have valuable implications for the pedagogy of electronic music. The overview includes some analysis of compositions that use algorithms and, relatedly, the composition of algorithms.
A sentiment-based chat-bot for cloud enabled Edu-care

Natural Language Processing (NLP) is a rapidly growing concept in Machine Learning. It is the technology used to aid computers to understand the human’s natural language. It is not an easy task teaching machines to understand how we communicate. NLP allows machines to breakdown and interpret human language. It’s at the core of tools we use every day from translation software, chat-bots, spam filters, and search engines, to grammar correction software, voice assistants, and social media monitoring tools. Recent years have featured a trend towards pre-trained language representations in NLP systems, applied in increasingly flexible and task agnostic ways for downstream transfer.