Reviewerly/exHarmony huggingface dataset:
KEMAMPUAN MAHASISWA MEMBACA TEKS ILMIAH PADA PROGRAM STUDI PENDIDIKAN BAHASA INDONESUA FKIP UNTAN PONTIANAK

This study was aimed at obtaining a deep understanding of the students' ability to read scientific texts, the obstacles they face, and how to overcome students’ difficulties of the second semester of the Indonesian Language and Literature Education Study Program in 2020 of FKIP Untan Pontianak. The results of the students' ability to read scientific texts are used as teaching policies in an effort to motivate and increase students in reading scientific texts to make thembetter. The method used in this research was descriptive, a form of quantitative research. The data of this research ere the test results of the ability to read scientific texts regarding literal understanding, interpretation, evaluation, and understanding of appreciation. Sources of data in this study were students of the Indonesian Language and Literature Education Study Program, semester II of 2020, FKIP Untan Pontinak. Data collection tools were objective test questions on reading comprehension and content interpretation. The data analysis usedquantitative descriptive techniques. The validity of the data was done by checking the validity of the data and it was proven by the triangulation proposed by Robin and Meleong. The reliability of the ability to read scientific texts was determined by the reliability of the rating results. Based on the research results, it can be concluded that the students' ability to read scientific texts hadan average value of 74.46. This study covered 30 students. There were 22 students with good grades above 70. There are 8 students whose grades were below 70 or not good. The obstacles faced by students in reading scientific texts were students who were not accurate in answering questions 26.6%, who did not master the vocabulary of absorption elements 27%, who did not understand the meaning of words based on the context of written sentences 30%. Students who did not master the meaning of foreign loan words, 23%, were less able to interpret meanings and read evaluatively 27%. The solutions and suggestions given to overcome these obstacles were as follows: Students are trained to read comprehension critically, to look for difficult vocabulary elements of foreign language absorption, to explain their meaning and use them in the context of other sentences, to assess evaluative reading both in groups and individually.Students also need to take the initiative to learn on their own even though they are not assigned /supervised by lecturers.
Engineering the Future of Outreach

While academic libraries strive to meaningfully engage their campus communities, it can be hard to imagine new and creative outreach strategies. InfoMotion, a customized tricycle, is the University of Colorado Boulder Libraries’ “vehicle” to meet patrons where they are and embed ourselves in the campus community. InfoMotion was mobile and eye-catching, but it was cumbersome as we navigated campus pathways. The authors discuss their institutional context and describe an impactful partnership with engineering students to design an electric-assist system for InfoMotion. This collaboration resulted in a more user-friendly way for Libraries personnel to engage with the campus community, and helped the authors learn about student information needs while building relationships with engineering faculty and students.
IMPERATIVE POLITENESS OF STUDENTS IN SMA NURUL HASANAH MEDAN

Sociolinguistics is a branch of linguistics that deals with language as a social and cultural phenomenon. This study focuses on the variety of utterances used by humans in interacting in social life. In interacting, humans must use polite language so that the other person feels valued and the message conveyed is also well received. Politeness connects language with social structure and behavior or ethics. The purposes of this research are to describe the form of politeness in imperative language in SMA Nurul Hasanah students in Medan and describe strategies that can be used as a marker of politeness in speech. The theory used is a sociolinguistic theory of language politeness. The method used is descriptive qualitative method and data obtained through questionnaires and observations. It can be concluded that students of grade XII SMA Nurul Hasanah Medan use imperative utterances in daily speech acts. This study uses six strategies out of eight strategies used as parameters. The six strategies include (1) use indirect speech, (2) show pessimism, (3) minimize coercion, (4) apologize, (5) use impersonal form, and (6) utter speech acts as politeness that is polite general. This strategy involves the speaker and the interlocutor in the activity.
Developing Creative Activities In Technology Lessons: Using Some New Interactive Methods

At the time being, special attention is paid to teaching students a creative thinking in technical science in general secondary schools. This can be seen in the example of curricula, timetables and textbooks published on this subject. In particular, in the curriculum and textbooks for grades 8-9 there is a section "Technology for preparing creative projects", which helps how to perform creative work. It should be noted that teaching pupils and students to think and work creatively is not an easy task. To do this, it is necessary periodically to inform them about creative works, methods and stages of their implementation. However, using some of the interactive methods in practice is also effective. Regarding this, to use certain interactive methods, we have created and improved several new interactive methods and applied them into a practice. We would like to recommend several interactive methods aimed at organizing and developing students' creative activities in technology classes which are given below.
어휘 주석의 제시 형태가 한국어 학습자의 읽기 이해 및 우연적 어휘학습에 미치는 영향

This study aims to evaluate the effects of the three vocabulary gloss types, namely (i) definition, (ii) example, and (iii) synonyms, on the attitude of Korean language learners on reading comprehension. The results are as follows. First, the quantitative analysis shows that vocabulary gloss is likely to improve language learners’ reading and comprehension skills. Second, the synonym gloss type is shown to be the most effective method to understanding reading comprehension. Third, vocabulary glosses facilitate the incidental vocabulary learning. Fourth, the survey reveals Korean language learners’ attitude toward vocabulary gloss types.
Real-time FPGA-based Visual Feature Extraction using FAST and BRIEF Algorithms

Visual feature extraction is widely used in many of computer vision algorithms such as object detection, stereo matching, image matching, and Visual SLAM.Real-time implementation of visual feature extraction suffers from long latency, and heavy computation.GPUs are commonly used to accelerate computationally intensive applications, but they are power hungry devices and, they have a fixed level of parallelism.To achieve processing optimization for such computationally intensive applications, FPGA, and ASIC are more efficient.In this work, an efficient and optimized FPGA architecture is designed to accelerate the computation of visual feature extraction.FAST and BRIEF algorithms are used in this system because they are simple and efficient when working with mobile and embedded systems.The system uses different frequency clocks for input pixels streaming and for processing to prevent stall cycles and achieve high speed.Multi pixels are processed per single clock cycle using optimized parallel and pipelined architecture.The proposed architecture is implemented on TERASIC DE2-115 FPGA board and tested with different image sizes and achieved very high throughput.The system can detect features up to 1000 frames per second for grayscale images with the size of 480 ×480 pixels.
A Multi-Threaded Algorithm for Mining the Arabic Web Structure

The world wide web has become the default destination of acquiring information in just about any knowledge domain.This range of knowledge covers a wide spectrum; from the latest technological advances in medical procedures to most effective drugs and most popular sports cars and personal accessories.The way the web is structured embodies implicit information within it that turns to be useful in information retrieval and in search engine applications.This paper presents an initial attempt at mining the structure of the Arabic portion of the web for the purpose to produce better results of search engines in the Arabic web space.We are presenting a multi-threaded algorithm that provides an initial attempt to reveal the structure of the Arabic web.The algorithm crawls the web and collects interlink information on as many as one million Arabic websites.The algorithm provides an initial analysis of the most "cited" websites and presents a list of the top 20 websites.We have used the website citation count as the measure for ranking a website.It is worth noting that the top ranked websites do not belong to specific categories such as sports, news, lifestyle, or others.Rather the websites on the top of the list represent more of directory websites.Some news websites are included in the top 20 list despite not at the very top of the list.Other categories are represented such as the technology category although represented with only one website at the bottom of the list.
Automated image classification for heritage photographs using Transfer Learning of Computer Vision in Artificial Intelligence

There is substantial archival data available in different forms, including manuscripts, printed papers, photographs, videos, audios, artefacts, sculptures, building, and others. Media content like photographs, audios, and videos are crucial content because such content conveys information well. The digital version of such media data is essential as it can be shared easily, available in the online or offline platform, easy to copy, easy to transport, easy to back up and easy to keep multiple copies at different places. The limitation of the digital version of media data is the lack of searchability as it hardly has any text that can be processed for OCR. These important data cannot be analysed and, therefore, cannot be used in a meaningful way. To make this data meaningful, one has to manually identify people in the images and tag them to create metadata. Most of the photographs were possible to search based on very basic metadata. This data, when hosted on the web platform, searching media data is becoming a challenge due to its data formats. Improvement in existing search functionality is required to improve the searchability of the photographs in terms of ease of usage, quick retrieval and efficiency. The recent revolution in machine learning, deep learning and artificial intelligence offers a variety of facilities to process media data and identify meaningful information out of it. This research paper explains the methods to process digital photographs to classify people in the given photographs, tag them and saves that information in the metadata. We will tune various hyperparameter to improve their accuracy. Machine learning, deep learning and artificial intelligence offers several benefits, including auto-identification of people, auto-tagging them, provide insights and finally, the most important part is it improves the searchability of photographs drastically.&#x0D; It was envisaged that about 85% of the manual tagging activity might be reduced and improves the searchability of photographs by 90%.
Analysis of Literation Movement Policy Digital Based School in the Pandemic Era

Currently, the whole world is entering an era of disruption with the Industrial Revolution 4.0, which means that the world is changing rapidly to its roots.The need for digital literacy skills is the key to leading human resources.Indonesia implements the School Literacy Movement (GLS) to support this information literacy need.The Covid19 pandemic has affected various aspects of life, one of which is the world of education.By not holding face-to-face meetings, GLS will automatically experience problems.For this reason, this study will analyze how GLS policies can be changed from conventional models to digital bases in the pandemic era.The research was carried out by studying various previous studies and then looking for how schools can continue to implement digital-based GLS policies in their institutions.
Fusing Essential Knowledge for Text-Based Open-Domain Question Answering

Question answering (QA) systems can be classified as either text-based QA systems or knowledge base QA (KBQA) systems, depending on the used knowledge source. KBQA systems are generally domain-specific and can't deal with a variety of questions in the open-domain QA setting, while text-based systems can. However, text-based systems' performance is far from satisfactory. This paper focuses on the text-based open-domain QA setting. We argue that text-based approaches' poor performance is largely caused by the lack of knowledge, which is often essential for answering the question and can be easily found in knowledge base (KB), in plain text. So in this paper, we propose a new text-based open-domain QA system called KF (Knowledge Fusion)-QA, which uses KB as a second knowledge source to incorporate essential knowledge into text to help answer the question. Our system has a Knowledge-Aware Encoder which extracts essential knowledge from KB and performs knowledge fusion to output knowledge-aware (KA) text representations. With this KA representations, the system first re-rank the retrieved documents, then read the re-ranked top-N documents to give the answer. Our system significantly outperforms existing text-based QA systems on multiple open-domain QA datasets, demonstrating the effectiveness of fusing essential knowledge.
PENGEMBANGAN MEDIA PEMBELAJARAN SISTEM PENCERNAAN MENGGUNAKAN APLIKASI YOUTUBE

Learning the human digestive system is learning that is abstract because students are not able to directly see the digestive process from food in to out into food scraps.implementation of Integrated Science learning in the classroom all teachers have used a fairly interactive learning model, but there are some teachers who still deliver lesson material passively with the lecture method and there are some who use the YouTube application.The problem in this study is how the development of the youtube application, the human digestive system, can improve student learning outcomes.This study aims to determine the development and learning process through the human digestive system material application media.The results show that learning using the YouTube application is easier to understand in learning.the human digestive system.Because most of the students achieved classical completeness indicators of 96.87%.The activeness of students shows very good results when filling in the comments column.Based on the research results, it can be concluded that the development of the YouTube application is effective in learning the human digestive system.Suggestions from this study that teachers should develop more interactive media to be applied in Integrated Science learning because students are more interested and enthusiastic about taking part in learning when the teacher uses the media.
Some Aspects Related To The Procedural Order Of Fixing Evidence-Based Information In Digital Media

The article analyzes some issues related to the procedural order of collecting, fixing, and consolidating evidence information obtained using digital photography, video recordings and audio recordings.
Problems Of Organizing Distance Learning: Sociological Analysis

The introduction of the forced full distance learning in the spring of this year has highlighted many urgent problems that have ripened in the organization of the modern information and communication space.The study of this situation on a regional scale is based on the development of a questionnaire for students "Distance education: pros and cons".This questionnaire includes 12 questions of a different nature: from students' interest in distance learning, satisfaction with the first distance learning experience to attitudes to the opportunity to practice in future full or partial distance learning.The survey covered 150 respondents.The answers of the students were predictable, but the value of the survey is that in the process of analyzing the data obtained, the authors found a largely mature assessment by students of the first experience of distance learning.The obtained material allowed reveals two crucial factors that served as the reasons for the negative experience for more than half of the students.These are economical and psychological factors.In the first place, we put forward the economic factor, because technical limitations in the means and accessibility of communication, served as a cause of psychological stress, creating an unfavourable emotional background around the students.The psychological factor was determined by both the suddenness of the situation and the demand for traditional live communication with teachers and classmates.
MODELING OF SYSTEMS UNDER CLOUD ENVIRONMENT

The emergence of large amount of data requires an efficient means of processing and storage facilities. Cloud computing provides an effective solution; MapReduce programming paradigm has the ability to handle such data by implementing Hadoop, but came up with some conflicting challenges in terms of Service Level Agreement (SLA) between major stakeholders. This paper focuses on coming up with a MapReduce model through system identification in order to address the requirement of the service time to meet-up the SLA within the limit of defined threshold in the presence of uncertainties in the system. A second order nonlinear model was obtained, which shows a good representation of the real system and could be used to develop control laws on the real system.
Do the Telecom Giants in Oman – Omantel and Ooredoo have the Same Financial Status?

Purpose: The purpose of the study was to investigate the difference between the financial position of Omantel and Ooredoo and to investigate the performance efficiency of Omantel and Ooredoo. Design/methodology/approach: The secondary data was obtained from the annual reports of Oman's major telecom providers listed in the Muscat Securities Market (MSM) for the period 2015 to 2020. The data collected from the financial statements were analyzed using ratio analyses with the help of excel. Findings: The study revealed that Omantel had a better performance compared to the private telecom sector – Ooredoo in terms of current assets, non-current assets, shareholders’ equity, operating profit, and net profit. The study further confirmed that Omantel performed well over the years 2015 to 2020. Research limitations/implications: The study confirmed that the Oman telecom financial performances can be measured using current assets, non-current assets, liabilities, shareholders’ equity, operating expenses, operating profit, and net profit which can be a good measure to adjudge the financial performances of the telecom sector in Oman. Social implications: The study helps the stakeholders of the Oman telecom to understand the factors and the telecom-related customer services that might help to enrich the financial performances of the Oman telecommunication sector and to make necessary changes in the strategy and suitable decisions accordingly. Originality/Value: The study was restricted to two major Oman telecom service providers selected and the study had relied mostly on quantitative techniques involving financial statement analyses. The study can be extended to all the telecom providers in Gulf Cooperation Council (GCC) countries including the most determining factor viz. growth performance. Keywords: Financial Statement Analysis, Oman Telecom, Growth performance, Omantel, Ooredoo, Current assets, Equity, Comparative Analysis.
An Evaluation of ‘Get Smart’ English Language Textbook from the Perspectives of English Teachers

&lt;p&gt;This study aimed to evaluate Get Smart year three ELT textbook. A mixed method&lt;br /&gt;design of quantitative questionnaires and qualitative interviews was used. Thirtyeight ESL lecturers from primary schools in Malaysia have been studied for their perspectives on Get Smart textbook. The quantitative questionnaires were analyzed for descriptive statistics and interviews were analyzed thematically. The findings from both questionnaire and interviews showed that Get Smart is one of the most useful books for ELT in primary schools in Malaysia. However, there were some&lt;br /&gt;parts which need to be improved such as the lack of creativity in illustrations,&lt;br /&gt;challenging vocabulary, the social and cultural mismatch, use of difficult words in&lt;br /&gt;grammar explanations, lack of sentence and paragraph structures in the writing part. These findings show that Get Smart textbook is suitable but still there are some parts that need improvement.&lt;/p&gt;
A Study on Multiple Tasks for e-Commerce Marketplaces

In an e-Commerce marketplace, there are multiple tasks that need to be addressed in a day-to-day basis. Some tasks such as product recommendations and product search take a fundamental role in the overall experience a user has on the site. There are however a multitude of lesser known tasks which are also relevant for the business and that need to be addressed with a comparatively smaller investment in teams and quality datasets. Examples of such tasks are the detection of counterfeit or forbidden items, the estimation of package sizes, etc. In this work we study a set of different baseline models and how they work across different tasks that come from real world data.
Impact of Corporate Social Responsibility Disclosure on Financial Performance: Evidence from Pakistan

Corporate Social Responsibility Disclosure (CSRD) Guidelines (2012) constituted by the Security and Exchange Commission of Pakistan (SECP) for all listed companies in Pakistan. The purpose of this study is to explore post guidelines effects over firms’ CSRD level as well as CSRD association with financial performance of Pakistan’s automobile sector from 2013-2019. CSRD has been measured by developing CSRD index of 45 items from six CSR dimensions (employee, customer, community, environment, energy and investor). Financial performance has been measured by return on assets (ROA), return on equity (ROE) and Tobin’s Q (TBQ). Study considered firm age, firm size and financial leverage as control variables. Descriptive statistics has applied for measuring CSRD level. The association between CSRD and financial performance has measured by multiple regression models. Findings of the study show an increasing trend in the CSRD level during the study time period except 2019. Study also provides an evidence of significant positive association of CSRD with financial performance with all financial performance measures.