Reviewerly/exHarmony huggingface dataset:
TEACHER’S STRATEGIES IN TEACHING WRITING RECOUNT TEXT AT SMA NEGERI 1 TEBING TINGGI

This study was conducted to find out the teacher’s strategies in teaching writing recount text and describe how the strategies applied in teaching writing recount text at SMA Negeri 1 Tebing Tinggi. It used qualitative research design. The subject of this research was one of the English teacher in SMA Negeri 1 Tebing Tinggi. The data of this research were the teacher’s strategies and the activities in teaching writing recount text. The results showed that the teacher applied four strategies from seven strategies by Haynes and Zacarian, they were (1) making lesson visual, (2) modifying vocabulary instruction, (3) using cooperative learning strategy and (4) determining key concepts. Those are the ways how teacher applying the strategies: First, in observing he applied lesson visual strategy. The second, in questioning he modified vocabulary instruction. Third, in experimenting he applied cooperative learning strategy. Finally, he applied determining key concept strategy in associating and communicating stages. Key words: Teaching Writing, Teacher’s Strategies, Recount Text, Qualitative Research.
Malware in Social Engineering

Internet connectivity became obligatory for the business processes in each organisation and institution. Communication over the public network infrastructure like Internet brings potential threat for the means of social engineering email letters. Recognition of such letters seems to be a problem to workers. Some malware analysis of such example scam letters is made in this research paper. Impact on computer or network systems is presented.
Team Competence and Warmth’s Influence on Perceived Value and Media Consumption Intentions : As Moderated by Interdependent Self-Construal

The purpose of the current study was to investigate how a sport team’s competence and warmth as perceived by a non-fan of the team, influence their media consumption intentions. Furthermore, the current study proposes that this relationship is mediated by the perceived value of the team’s games, as moderated by interdependent self-construal. In pursuit of the purpose, the current study recruited 212 NBA fans residing in the United States. Hypotheses testing was conducted utilizing Partial Least Squares Structural Equation Modeling using SmartPLS 3.3.3 software.<BR> The results revealed a full mediation effect where the perceived competence of a team influenced media consumption intentions through perceived value of the team’s games. Meanwhile, perceived value partially mediated the relationship between perceived team warmth and media consumption intentions, where both the direct and indirect paths remained significant. Furthermore, interdependent self-construal moderated the relationship between perceived warmth and perceived value. Finally, interdependent self-construal did not have a moderating effect on the relationship between perceived team competence and media consumption intentions. The findings of the current study add to the literature on factors that influence the consumption of media content related to other teams in a sport league. Furthermore, the current study is the first to apply the Stereotype Content Model dimensions to a sport consumption context and provides insight as to the role of interdependent self-construal.
基於LSTM及運用EMD重複取樣之增強型 ECG SVEB 偵測方法

Atrial Fibrillation (AF) is the most common arrhythmia type that affects patients today. Detecting and classifying patient ECG beats, especially the supraventricular ectopic beats (SVEB) class, can help to assess if patients have high possibilities of AF/flutter in the future. Detecting the SVEB class considered more difficult than the other classes. As a result, current related works show low classification prediction results, in terms of sensitivity, F1 score, and G score, for detecting the SVEB class in a single lead ECG. This work focuses on designing an arrhythmias beats detection method using single-lead ECG data with a patient-specific training model design, and does classification based on the AAMI standard. This work aims at achieving high classification prediction results in the SVEB class and still meets the real-time ECG classification requirement. The proposed method uses Empirical Mode Decomposition (EMD) with resampling (EMDR), which resamples the first Intrinsic Mode Functions (IMFs) as a main input, for our EMDR-LSTM (Long Short Term Memory) architecture. In contrast to the related works that use two separate models with one or two LSTM layers for each input, we design a novel LSTM model architecture that only uses a single model with one LSTM layer for each input. The proposed LSTM architecture is more suitable for our preprocessing method, EMDR, in order to enhance the SVEB classification prediction results. The proposed EMDR-LSTM has a significant effect to enhance SVEB classification prediction results. To the best of our knowledge, the proposed EMDR-LSTM is the first one that uses resamples first IMFs in LSTM that classifies arrhythmia using a single-lead ECG record based on the AAMI standard. Compared to representative related works, our proposed EMDR-LSTM achieves the highest classification prediction results in terms of accuracy, sensitivity, positive predictivity, F1, and G scores for SVEB class in all datasets.
LibGuides: Guide to Creating Works Cited Using NoodleTools: Cite Your Sources - NoodleTools

This guide includes information about how to use NoodleTools to ethically and correctly cite sources.
The Effect of Stop Word Removal and Stemming I n Datapreprocessing

Preprocessing is one the important technique in text mining and its application. It helps inconverting the original textual data to most significant text features. The main objective of preprocessingis to split the sentences into words using whitespace as the separator. Tokenization is applied for eachdocuments and special character is removed. The words are then filtered and stemming process isfollowed. Filtering is removal of words which are of less im portance. The process of removing wordssuch as prepositions, articles and conjunctions are known as stop word filtering. Stemming algorithm isused to convert different words form in to simple canonical form. It involves a set of procedure where allwor ds with the same root are reduced with the same root to a common form. Porter stemmer method isapplied to improve the efficiency of data preprocessing . In this paper, algorithms of stop word removaland stemming are used which mainly helps in improving th e accuracy of clustering and classificationtechniques. In other words, the data preprocessing techniques helps in decrease of overall size of data setin storage space and time
COVID- 19 pandemics and Nursing Education

During the COVID 19 pandemic many nursing classrooms in Argentina became virtual. This new scenario poses a series of challenges that not all the teachers had envisioned. How do not leave the students out? What quality criteria to adopt? What will be the profile of the future professionals? Virtual education provides some advantages in the teaching –learning process. However, the model has some difficulties incorporating educational methods and resources (Martinez et. Al, 2008). A true digital literacy is not only about teaching how to use different computer applications, it must offer the basic elements for understanding and mastering coding systems on which language is based (Levis, 2006, p.79). Students often experience a phenomenon known as cognitive overload. The working memory is not enough for all the composition as it is prematurely supersaturated (Cassany, 2004). Gaps in relation to the use of technology can be linked to factors such as geographical location and purchasing power. According to Moreno Rodriguez (2008) digital networks do not reach the third world and access inconvenient still arouse in the rural periphery of the first. At an individual level, distancing factors may arise due to sexual condition, age, cultural level, or simply the low awareness of the need to have technology within our reach and to know how to use it optimally. The desired scenario will only be possible through a gradual, organic and functional implementation of the various components for the use of this type of system. Components that transcend the collection of technology requiring in-depth knowledge of the student social network. Otherwise, the use of technology as a resource for nursing learning will be a way of pedagogical exclusion. The presentation will use examples coming from the author’s practice.
Sistem Informasi Lowongan Kerja Berbasis Web

In developing information technology, a mechanism for recruiting prospective workers in the field is needed to be more effective and efficient. A lot of research has been done to bring up the Web-Based Job Information System, with this information system job seekers can easily get the information they need in detail. So this job information system can overcome the problems experienced by applicants and companies in exchanging information about job openings. User Acceptance Testing results consisting of 20 test items that each step, data and test responses of existing features have been going well, according to the needs and accepted by the user. Likewise with the results of the usability test obtained 86.51% that respondents said the system helps and facilitates exchanging job information in terms of usability, user convenience, ease of learning and satisfaction. Furthermore, based on the results of interviews testing the implementation of this system can assist in the job application process well.Keywords: Information, Jobs, Information Systems, Web.
The Myth of Perfect Fidelity

Abstract Chapter 1 gives a brief history of the noise of sound media from the late nineteenth to the late twentieth century, tracing the development of different concepts of noise in dialogue with and reaction to ever more complex and sophisticated technologies. It explores the many ways in which inventors, engineers, producers, and musicians have sought to prevent, reduce, and eliminate this noise. The chapter thereby draws the contours of a myth of perfect fidelity or the idea that reproduced sound can in principle be separated from the noise of the medium and complete similitude between original and copy can be achieved. This myth is illustrated by two examples of noise-related technologies: Dolby analog noise reduction, which actively reduces the noise of sound media, and the counterintuitive practice of “dithering” in digital recording, by means of which small amounts of random noise are introduced to reduce digitization errors.
LibGuides: 3D Modeling & 3D Printing Resource Guide: 3D Printing

This guide will provide information and resources for 3d modeling and 3d printing within the library. It contains books, ebooks, online resources and information on these topics.
Cybercrime: A Challenge to Law Enforcement

Abstract When comparing 100 years ago and today, we always mention the social, economic and political changes that have influenced the emergence and development of the opportunities that we have today, with special emphasis on technological changes. Technology has evolved so fast that it seems that in the blink of an eye something new has just hit the market. Whether we like it or not, technology has become part of us, part of our lives, where we upon spend a great deal of the day with at least one of our technological devices with which we perform many tasks. Nowadays there are limitless possibilities of gathering information, business, shop, and almost anything through the internet. Although it is a very easy to make payments online, it can be quite risky, because not every website offers the security and convenience for purchasing the product we want and we may have doubts whether the money we have paid has gone to the right place and for the specific service, which we have paid for. The Internet has many positive as well as negative aspects, since it also carries great danger because it is much easier to hind behind a false identity and commit illegal acts. Cybercrime presents a new challenge to legal systems, considering that the more individuals use computer, and the Internet, the more the interest of hackers and perpetrators to commit these types of crimes increases.
Design of Innovative CAPTCHA and Analysis of It’s Efficiency

With the advancement of technology the digital transaction and web usage has become an indispensable part of our daily transactions including e-shopping, education, and commerce and industry sector. The more is the use of the internet, the more is the need to secure it and provide it an authenticated access. A CAPTCHA plays this prominent role of providing security which prevents the system from automated computer program attack. The present paper is to propose a new CAPTCHA based on cognitive ability of human and then test the mentioned design over different types of users to prove its significance and usability. Thus, in this paper the utilization of cognitive ability of human is done to describe a new and innovative CAPTCHA code which is chosen as a base for developing web secured environments leading to a more optimum solution of web security.
The specifics of the multicultural educational environment organization in the conditions of secondary vocational education institutions

This article examines the main opportunities that exist in the modern system of secondary vocational education for the multicultural educational environment organization. The first part of the article examines the need for the formation of such an environment at the present stage of education, including secondary vocational education, as well as the main approaches to the interpretation of this concept. The author cites practical mechanisms for the formation of a multicultural educational environment within the framework of educational and extracurricular activities of SPO organizations. The article examines the experience of educational activities of the Educational College of Makhachkala, as an educational organization, successfully implementing the model of creating a multicultural educational environment in the institution of secondary vocational education.
Correlation between the continuous-time quantum walk and cliques in graphs and its application

The continuous-time quantum walk (CTQW) provides a new approach to problems in graph theory. In this paper, the correlation between the CTQW and cliques in graphs is studied, and an approximate algorithm for the maximum clique problem (MCP) based on the CTQW is given. Via both numerical and theoretical analyses, it is found that the maximum clique is related to the transmission characteristics of the CTQW on some special graphs. For general graphs, the correlation is difficult to describe analytically. Therefore, the transmission characteristics of the CTQW are applied as a vertex selection criterion to a classical MCP algorithm and it is compared with the original algorithm. Numerous simulation on general graphs shows that the new algorithm is more efficient. Furthermore, an approximate MCP algorithm based on the CTQW is introduced, which only requires a very small number of searches with a high approximation ratio.
LibGuides: ESL Level 6 - Spring 2021 - Kevin Lemberger: Library Research

This guide will help students in Kevin Lemberger's ESL class find relevant library resources. Use this guide to find credible and academic sources on your topic
Simultaneous Optimization of Mechanism and Control in Cooperative Work of Multiple Robot Arms

This paper present a simultaneous optimization of the mechanism and control when two six degree of freedom robot arms in the cooperate button pushing task by combining reinforcement learning and genetic algorithm. The proposed optimization system uses a genetic algorithm to optimize the mechanism and reinforcement learning to optimize the control. The length of each link is changed to the length represented by the gene, and the target is to press six buttons in cooperation with two robot arms. The results are evaluated and optimization is performed by repeating crossovers and generational changes. As a result, it was confirmed that not only the control is optimized, but also the mechanism is optimized to achieve efficient and coordinated task achievement.
Learning Gaussian graphical models with latent confounders

Gaussian Graphical models (GGM) are widely used to estimate network structure in domains ranging from biology to finance. In practice, data is often corrupted by latent confounders which biases inference of the underlying true graphical structure. In this paper, we compare and contrast two strategies for inference in graphical models with latent confounders: Gaussian graphical models with latent variables (LVGGM) and PCA-based removal of confounding (PCA+GGM). While these two approaches have similar goals, they are motivated by different assumptions about confounding. In this paper, we explore the connection between these two approaches and propose a new method, which combines the strengths of these two approaches. We prove the consistency and convergence rate for the PCA-based method and use these results to provide guidance about when to use each method. We demonstrate the effectiveness of our methodology using both simulations and two real-world applications.
Twitter Sentiment Analysis Based On Adaptive Deep Recurrent Neural Network

Deep learning classification has recently shown its Twitter logs promises in recent times. Many of the works are emotional on Twitter analysis is complete, but have not done the emotional impact survey sites on Twitter. In social media such as Twitter, Sentiment analysis has become a very important and difficult task. This environment requires a non-traditional method, such as data/tweet length, misspellings, abbreviations and special characters and properties of sentiment analysis tasks. Also, social media sentiment analysis is one of many interesting applications of basic questions. To overcome the issues in this work proposed, the method Adaptive Deep Recurrent Neural Network (ADRNN) using for this analysis is useful in evaluating microblogging Twitter data analysis of information. In the case of social network data, deep learning analyzes large amounts of data to achieve the effect of the traditional top machine learning algorithm. Concatenated text and location with Twitter sentiment analysis, especially Adaptive Deep Recurrent Neural Network (ADRNN) feature vectors work, deep learning classification methods can be used.To make full use of these data, developing a real-time Twitter sentiment analysis and visualization system. This is a Web application. Its purpose is a programming application package using the Python language to obtain real-time data from Twitter tags and keywords to use mining methods for Application Programming Interface (API) for tweets analysis. Twitter data is generated by applying different weighting schemes to improve the accuracy and F1 Score of the estimated classification.
ANALISIS KONTEN INFORMASI E-GOVERNMENT PADA SITUS WEB PEMERINTAH KABUPATEN PESAWARAN

As a public organization, the Pesawaran district government has responsibility for managing public information. So that information managed by the Pesawaran district government can be accepted by the public. The effort made by the government of Pesawaran district was by using a website. The website was used to realize technology-based governance (e-government). In order to realize maximum e-government based governance, the Pesawaran district government must refer to the relevant regulations.This research compares the content of information that has been presented by the Pesawaran district government through a website that is related to the regulations. This research uses a descriptive method by measuring information content using rating scales and correlation levels.
Experiencias de aprendizaje durante la pandemia Covid-19 en la Universidad Pedagógica Nacional / Learning experiences during the COVID -19 pandemic at the National Pedagogical University

The present investigation was carried out with undergraduate students from the National Pedagogical University of Mexico in the context of the pandemic caused by the COVID-19 virus and which forced the transfer of face-to-face classes to online mode in the middle of the semester. The objective was to evaluate the experiences of the students in the context of the pandemic in relation to their training process to understand the actions that each student took in order not to lose the semester. In the first stage, a questionnaire is applied to 48 students corresponding to 80 % of the total population in order to know the central problems in the experience of the students in the pandemic context, in the second stage a second questionnaire is applied that aims to specify the reasons why the lack of technological resources was an impediment, hence four students were chosen to be interviewed and whose experience was expressed in greater depth. The research was with a qualitative approach, from an interpretive paradigm and it was based on hermeneutical phenomenology and the narrative biographical method. The results show that the main problem was the accessibility to education derived from the resources that are available or not and how each student got around it. It concludes by revealing the weaknesses of the educational system in general and specifically at the University, in order to provide alternatives that help students in their training process and in achieving the learning objectives set in the study programs.
Blockchain Technology: A literature review

In the way of digitization, Blockchain Technology is regarded by many researchers and innovators as one of the most significant disruptive technology that “will revolutionize business and redefine companies and economies. This paper is based on the growing present anticipation that blockchain technology will have a profound impact on many sectors of the industry including, for instance, financial services, supply chain management, manufacturing, healthcare, fashion, and entertainment. Extensive literature is explored of peer-reviewed journals focusing about its working, in other than above area like smart contracts, pass, adaptation in various countries, its acceptance by peoples and about their potential uses, with their challenging impact in society and technology.