Reviewerly/exHarmony huggingface dataset:
외국인 유학생의 한국어 강의 듣기 전략 사용 양상 연구

The present study aims to analyze the listening strategies used by foreign students in Korean universities and graduate schools for lecture-listening. For this purpose, we surveyed 154 foreign students, and analyzed the overall strategic patterns of lecture listening and investigated the effects of learner’s Korean proficiency and the period of acquiring lecture listening strategies. The results are as follows. First, analysis of the usage of lecture-listening strategies by the foreign students showed that cognitive strategies were most commonly used. Learners often used strategies such as ‘to do their best to concentrate on the lectures’, and ‘to make a note or a record’, while strategies such as ‘critical listening’ or ‘asking the speakers for clarity’ were seldom used. Second, learners who are proficient in Korean are more likely to use the listening strategies. Third, those with longer learning experiences do not necessarily use the listening strategies. Fourth, those with plenty of experience of listening to lectures in a university do not necessarily use the listening strategies. The above results indicate that extra education on lecture-listening strategies are needed when we provide Korean education for academic purpose to foreign students. We also need education focused on listening strategies such as ‘critical listening’ and ‘asking speakers for clarity’, which are not frequently used by foreign students. Besides, we need to remind the foreign students of the importance of using such strategies by themselves. (Pusan National University)
Incorporating Linguistic Knowledge for Abstractive Multi-document Summarization

Within natural language processing tasks, linguistic knowledge can always serve an important role in assisting the model to learn excel representations and better guide the natural language generation. In this work, we develop a neural network based abstractive multi-document summarization (MDS) model which leverages dependency parsing to capture cross-positional dependencies and grammatical structures. More concretely, we process the dependency information into the linguistic-guided attention mechanism and further fuse it with the multi-head attention for better feature representation. With the help of linguistic signals, sentence-level relations can be correctly captured, thus improving MDS performance. Our model has two versions based on Flat-Transformer and Hierarchical Transformer respectively. Empirical studies on both versions demonstrate that this simple but effective method outperforms existing works on the benchmark dataset. Extensive analyses examine different settings and configurations of the proposed model which provide a good reference to the community.
THE INFLUENCE OF GUIDED READING STRATEGY TOWARDS STUDENTS’ READING ABILITY OF SMA NEGERI 1 BULOK

English is one of the important languages in the world. English is crucial in this globalization era. Students in Indonesia learn English from elementary to university level. In learning English, the students learn four skills of English such as listening, reading, writing, and speaking. The aim of the students in learning English is to understand the rule of English and can use it in a communication in their daily life. The research was aimed to know the influence of Guided Reading strategy towards students' reading ability and to know whether the average score of students’ reading ability which is taught by using Guided Reading strategy is higher than   which is taught through conventional strategy.In this research the writer used experimental method and the population of this research were 173 students in 5 classes. The sample in this research was taken by using cluster random sampling technique. In data collecting technique, it was used written test. Multiple  choice is kind of test which consist 40 items, each item consist of five options:a,b,c,d and d. 2.5 is the point of each item. The data analysis by using ttest formula with the distribution with df=78 0btained ttable= 0.05 or significance level of 5% was equal to 1.67 and ttable=0.01 or significance level of 1% was equal to 2.39 and ttest=3.27. It means that ttest was higher than ttable with the significance level 5% and 1% {(3.27>1.67), (3.27<2.39)}. So, the null hypothesis (H0) was rejected and the alternative hypothesis (Ha) was accepted. Besides, average score of students’ reading ability in experimental class (X.D) who were taught by using Guided Reading strategy was higher than students in control class (X.B) who were taught by using conventional strategy (78.21 was higher than 72.12). Therefore, the writer conclude that  Guided Reading strategywas able to increase students’ reading ability at the tenth class of SMA Negri 1 Bulok in 2019/2020.
Exploring the Security levels of cloud computing and accessing Data using Facts Hiding Method

Cloud computing is one amongst the biggest developments occurred within the within the info technology during recent years. This model has become additional fascinating for all establishments, organizations and additionally for personal use because of the storage of ‘valuable information’ at low prices, access to such info from anywhere within the world moreover as its simple use and low value. during this paper, the services constituting the cloud architecture and readying models square measure examined, and therefore the main factors within the provision of security requirements of all those models moreover as points to be taken into thought square measure delineated very well. Additionally, the methods and tools considering however security, conﬁdentiality and integrity of the {data} or data that forms the basis of recent technology square measure enforced in cloud computing design square measure examined. Finally, it is proposed within the paper that the employment of information activity ways in terms of access security in cloud computing architecture and therefore the security of the keep understanding would be terribly effective in securing information
E-learning: Current trends during the covid-19 pandemic

The development of digital technologies has significantly influenced the spheres of human activity around the world. The article examines the key features of the modern education system, taking into account the reform of the educational process through the introduction of modern online technologies. The existing educational services are structured to make it possible to single out the process of transformation of the education system under the influence of the new trends.All of the educators around the world were arguing the features of e-learning during the covid-19 pandemic. The intensive use of digital resources in the education field will ensure the effectiveness of the educational process and its adaptation to the volatility and uncertainty caused by the pandemic around the world. We considered and highlighted the main aspects of the development of e-learning platforms in the context of the pandemic.The article formed a comparative characteristic of the most used e-learning concepts, which made it possible to substantiate that the development of e-learning platforms within the covid-19 pandemic is the most effective and rational method to conduct multichannel training.
Common Interest and Mutual-Trust Friend Relationship Based Question and Answer System

Question and Answer (Q&A) frameworks expect an essential and only our ordinary life for information Furthermore data imparting. Customers post inquiries Also pick inquiries will answer in the skeleton. Due to the fast Creating customer people and the number of inquiries, it may be difficult for a customer will find a request by shot that (s) he can answer-paid. To provide answers for customers kindness doesn’t urge similarly phenomenon replies hold up for short reply. That key target from claiming this paper will be should improve the execution of Q&A frameworks by right now sending inquiries to customers who would proficient Furthermore eager to address those inquiries. Will this end, we need to be wanted what’s more executed social Q&A, an internet interpersonal association based Q&A skeleton. Social Q&A utilize the casual group keeping properties about fundamental interest What's more regular trust friend relationship should recognize an asker's friends who need aid great on the way with the reply the request. We portray that design, calculations, and UI for social Q&A, What's more, dismember those Q&A direct for honest to goodness customers and inquiries starting with a minimal scale correct social Q&A schema. We similarly headed far-reaching broad scale reenactment will assess social Q&A done correspondence with different systems. Our results suggest that interpersonal associations might a chance to be used to upgrade the fitting reaction nature Furthermore asker's holding up a run through.
The complete literacy solution: a Q&A with a primary headteacher

You have been using Renaissance’s literacy solution at Plumcroft Primary School since 2014. What encouraged the move to the software? When national ...
Leveraging informal learning practices for broadening participation in university education: A Kenyan case study

Kenyan public universities primarily provide classroom-based courses. However, socioeconomic realities limit many rural-based learners from regularly attending classes. Interestingly, because of the willingness of Kenyans to further their education, informal education is picking up fast. Individuals are forming informal learning circles and have proactively found ways to use smartphones to access online educational resources. This paper explores ways to leverage the strengths of these informal learning practices to enhance participation in formal higher education for Kenyans. One way this can be achieved is through blended learning. With blended learning, students will experience the convenience of online learning without losing the social on-campus interactions they are accustomed to. Currently, the use of blended learning in Kenyan public universities is not at the desired level. Lack of conventional computing resources (laptops/desktop PCs) due to economical constraints is a contributing factor. Given their widespread adoption, we suggest smartphones could serve as a viable platform for blended learning in Kenya. To explore this idea, a survey was conducted with 114 students in Tom Mboya University College (TMUC), a rural-based public university in Kenya. The survey examined students’ attitudes towards using smartphones in education. Results indicate smartphones are already an integral part of the students’ informal education and the students have a strong desire to integrate smartphones into their formal education. We envisage that our research will contribute knowledge towards the adoption of blended learning in resource-constrained university environments.
LibGuides: ENG 151 - SIFT Method for Evaluating Sources: The Research Process

This guide explains how to use the SIFT Method for evaluating sources. SIFT stands for Stop, Investigate the claim, Find better coverage, and Trace back to the original source.
Mental Disorder Detection Using Machine Learning

Mental health depicts the status and condition of the welfare of the society. It indicates the ability of an individual to handle stress, decision-making and handling situations in daily life dealings. By the virtue of an increase in the number of cases of mental disorders arises a need of emphasizing on possibly causes of the disorder and remedies to cure. In recent years, there has been a tremendous increase in the statistics of the occurrence of mental illness and instability. Although the rate of diagnosis of mental illness has been improved over the time but to the major extent, the issues remain undetected. In the recent 5 years, machine learning has been widely used in the areas of neurological disorders, radiology, medical imagine for diagnosis along with prognosis in disease pattern matching, Alzheimer’s Disease/Mild Cognitive Impairment, brain tumor, schizophrenia, Parkinson’s Disease, stroke and traumatic brain injuries, post-partum depression, epilepsy, autism disease. There has been a significant increase in usage of machine learning techniques in keeping the track of brain disorders in neuroimaging data. The paper will contribute to various factors responsible for mental health problems thereby leading to mental illness. These factors include stress, anxiety, depression, obsession and obsessive disorder. Also, the paper will focus on the working on the need for more effective mental healthcare systems combined the need of digital technology for pattern matching for recognition followed by prediction and finally analysis would play a vital role. The paper emphasizes on how machine learning has contributed so far in the disorder detection and also the vitality on how it plays an indispensable role concerning Electronic Health Records (EHR) management as statistics states that mental health captures the humongous of the data when comparing to all the medical specialty.
LibGuides: ENG 151 - SIFT Method for Evaluating Sources: The SIFT Method

This guide explains how to use the SIFT Method for evaluating sources. SIFT stands for Stop, Investigate the claim, Find better coverage, and Trace back to the original source.
Evaluation of 3D motion capture data from a deep neural network combined with a biomechanical model

Motion capture has in recent years grown in interest in many fields from both game industry to sport analysis. The need of reflective markers and expensive multi-camera systems limits the business ...
Developing our pupils into confident readers throughout our trust

Accelerated Reader (AR) drives pupils reading, develops reading stamina and gives teachers a good measure of a childs level while contributing ...
The American Rescue Plan and the Arts: Will Creatives Receive the 'Once-in-A-Lifetime-Funding?'

The article was written to be published in public news press and via LinkedIn and on social media. My question was how was the American Rescue Plan (ARP) going to support and benefit creatives? This article is one of the first articles to ask the questions as to how the APR will benefit the lives of creatives. Using the data set from the U.S. federal government's Pandemic Oversight Beta page I researched how companies created projects and applied for CARES Act funding in 2020. My article details how creatives in various locations developed a multitude of projects to receive pandemic funding.
Use of QR code technology in eastern Thailand: entrepreneur perspective

espanolTailandia ha entrado en la era de la economia digital y del conocimiento. Los objetivos de esta investigacion incluyen 1) comparar las diferentes intenciones de utilizar la tecnologia de codigos QR entre empresarios industriales, clasificados por factores de operacion comercial, y 2) estudiar los factores que afectan la intencion de utilizar la tecnologia de codigos QR entre empresarios del este de Tailandia. Los resultados indicaron que los encuestados con diferente duracion de operacion comercial, ingresos comerciales mensuales y monto de inversion de capital tenian la intencion indiferente de utilizar tecnologia de codigo QR con un nivel de significacion estadistica de 0.05. espanolThailand has stepped into the era of digital and knowledge economy. The objectives of this research include 1) to compare the different intentions of using QR code technology among industrial entrepreneurs, classified by business operation factors, and 2) to study the factors affecting the intention of using QR code technology among entrepreneurs in eastern Thailand. The results indicated that the respondents with different business operation duration, monthly business income, and the amount of capital investment had the indifferent intention of using QR code technology with a statistical significance level of 0.05.
PROOF-OF-REPUTATION: AN ALTERNATIVE CONSENSUS MECHANISM FOR BLOCKCHAIN SYSTEMS

Blockchains combine other technologies, such as cryptography, networking, and incentive mechanisms, to enable the creation, validation, and recording of transactions between participating nodes. A consensus algorithm is used in a blockchain system to determine the shared state among distributed nodes. An important component underlying any blockchain-based system is its consensus mechanism, which principally determines the performance and security of the overall system. As the nature of peer-topeer(P2P) networks is open and dynamic, the security risk within that environment is greatly increased mostly because nodes can join and leave the network at will. Thus, it is important to have a system that can check against malicious behaviour. In this work, we propose a reputation-based consensus mechanism for blockchain-based systems, Proof-of-Reputation(PoR) where the nodes with the highest reputation values eventually become part of a consensus group that determines the state of the blockchain.
Linear Complexity and Trace Representation of New Ding Generalized Cyclotomic Sequences with Period pq and Order Two

Linear complexity is an important property to measure the unpredictability of pseudo-random sequences. Trace representation is helpful for analyzing cryptography properties of pseudo-random sequences. In this paper, a class of new Ding generalized cyclotomic binary sequences of order two with period pq is constructed based on the new segmentation of Ding Helleseth generalized cyclotomy. Firstly, the linear complexity and minimal polynomial of the sequences are investigated. Then, their trace representation is given. It is proved that the sequences have larger linear complexity and can resist the attack of the Berlekamp–Massey algorithm. This paper also confirms that generalized cyclotomic sequences with good randomness may be obtained by modifying the characteristic set of generalized cyclotomy.
A Level Set Model Driven by New Signed Pressure Force Function for Image Segmentation

An image segmentation model using histogram-based image fitting (HF) energy is proposed to identify objects with poorly defined boundaries. The proposed energy model considers an improved fitting energy function based on normalized histogram and average intensities of objects inside as well as outside the contour curve. The fitting energy functions are computed before the curve evolution thereby reducing the complexity of intensity inhomogeneity images. Further, a new signed pressure force function is incorporated in the proposed energy model which can increase the efficiency of the curve evolution process at blur edges or at weak edge regions. The comparative analysis of the proposed energy model produces better segmentation results compared to the other state-of-the-art energy models namely the Li et. al. model, local binary fitting (LBF), and Chen-Vese (C-V) models. The proposed model is also robust to intensity inhomogeneity. In addition, the calculation of the Jaccard Index (JI) proves the robustness of the proposed energy model.
The Works of Contemporary Composers in the Teaching Repertoire of the Music Institutions: Mastering Problem

the article’s subject is avant-garde music of the 20th century and problem of its mastering in educational process in music institutions. The purpose of the work is providing the methodological recommendations for the mastering of avant-garde music in the training of music educators. The results of the work are follow: there have been detailed examination of the basic concepts and artistic and aesthetic principles, as well as the expressive means of this music, the problems of perception of modern compositions and its presentation in the educational process of institutions, the analysis and performance of avant-garde music, the theory of modern composition, the evolution of the piano performing style. Novelty of this article consists of scientific and practical results of music teachers’ work achieved by researchers, develops advanced ideas of domestic and foreign authors, but first of all it is designed to solve the main dilemma of art and education: the stylistic restriction of music, mastered by future music educators; the availability of highly artistic musical works that require conventional performing skills, and their absence in the teaching and concert repertoire of musicians; insufficient use of educational potential of avant-garde music in the training of music educators. Conclusions: piano music of American minimalist composers provides a comprehensive education of future music educators in the field of history and theory of music, the evolution of the musical language and performing style, students’ mastering of special competencies, thereby contributing to the formation of students’ universal professional performing skills and abilities.
A Survey on Challenges and Techniques of Sentiment Analysis

The billions of users share and exchange their opinions on web through different social platforms like twitter, Facebook, Amazon and other product review sites about different problems like products, events, persons or any organizations with the vast developing technology today.Thus the sentiments have been generated by the large number of users on different types of entities which are more useful for the organizations, businesses and even individual also. The sentiment analysis is thus required for this to extract Abstract:The useful information from the large number of resources by using the text analysis and natural language processing techniques. Sentiment analysis is the most significant aspect for the various business and government organization in order to achieve high and better accurate prediction on their future actions based on the opinions from users but the process of this sentiment analysis has been facing different challenges. These challenges become difficulty in analyzing the accurate meaning of sentiments and detecting the suitable sentiment polarity. In this paper a survey on challenges and techniques of sentiment analysis is presented. Various approaches and methodology used in Sentiment Analysis and challenges relevant to their approaches and techniques are covered in this paper. The focus is on Internet text like, Product review, tweets and other social media.
LibGuides: Information Literacy: What is Information Literacy?

This page explores the definition of information literacy and why information literacy skills are crucial to academic development.
The Effectiveness of Two Stay Two Stray Learning Model on Students' Creative Thinking Ability and Social Studies Learning Outcomes Class IV Public Elementary School Pedurungan Kidul 01 Semarang Academic Year 2015/2016

This research is based on the background of the low learning outcomes of fourth-grade students at Public Elementary School Pedurungan Kidul 01 Semarang in the subject of Social Sciences natural resource material and students' low creative thinking skills. This type of research is quantitative. The population in this study were all fourth-grade students at Public Elementary School Pedurungan Kidul 01 Semarang, totalling 40 students with a sampling technique, namely a saturated sample. The research design used was a one-group pretest-posttest design. Based on the results of normality data analysis with Stable = 0.140, initial normality was obtained with L0 = 0.134, and final normality L0 = 0.139 with H0 results accepted that the data came from a normal distribution. Furthermore, the t-test calculation with ttable = 1.685 obtained t-count learning mastery = 23,772. With classical learning, completeness reaches 95%. Calculation of the analysis of creative thinking by students obtained t count = 15,899, and t arithmetic analysis of creative thinking conducted by the teacher = 10,690. Then Ha is accepted, meaning that the Two Stay Two Stray learning model effectively affects students' creative thinking skills and social studies learning outcomes for class IV Public Elementary School Pedurungan Kidul 01 Semarang with 95% classical learning completeness. Effective social studies learning outcomes, natural resource materials, and fostering students' creative thinking skills can be used as an alternative teacher in teaching.