Reviewerly/exHarmony huggingface dataset:
The Inside of English Textbooks in a City of Education: A Cultural Content Analysis

The purpose of teaching English as a foreign language is learners are able use it both in spoken and written language, as well as understand the culture of the target language. Cultural material is seen as important as a learning medium to improve language skills, cultural understanding, and appreciation for diversity. English textbooks carried two important missions, namely language and cultural learning media. This study explores cultural materials in two English textbooks in Kota Metro - Indonesia as a city of education. The research used qualitative approach with content analysis technique. The research object was seven English textbooks used in high schools. Data analysis is done descriptively used Miles and Huberman model. The findings as follow: (1) The cultural materials were divided into three types of source information. (2) The culture materials were mostly presented into text rather than audio-visual. (3) There were four elements of culture in English textbooks: products, persons practices, and perspectives. The cultural materials can create students who have character, moral values who then live and interact in multicultural society.
Mobile Phones-Assisted Practice and Note-Taking in Foreign Language Oral Production

In foreign language instruction, students are often exposed to computer-mediated testing in international exams and language courses; however, regular classrooms are not equipped with computer labs to offer a lesson coherent with that testing procedure. To fill this gap, mobile-assisted language learning emerges as a portable option for computer-mediated learning and testing. Hence, this action research aims to study the implementation of mobile phones-assisted practice, combined with note-taking, as test-wise and test-management strategies, to tackle the needs of 218 participants who were taking an English as a foreign language program at a Colombian university. In the diagnostic stage, learners expressed that the most difficult computer-assessed skill was speaking, due to lack of confidence and suitable strategies. Findings revealed an improvement in students' oral performance, collaboration levels, and high acceptance of mobile phones-assisted practice as a test preparation tool that facilitates autonomy, metacognition, and peer-feedback.
VIGITIA: Table Survey Started (2020-06-04)

VIGITIA: Table Survey Started (2020-06-04) We started a survey to better understand how people work at tables. Within the VIGITIA project, we aim to develop tools that support people's everyday actions and interactions around tables. In order to better understand which kinds of tables people have, how tables are used, and which objects are typically found on tables, we started a survey. Results will be published as an open dataset. Here's the survey:
Development of youth initiative upon studying socio-cultural space of a metropolis

Due to wide-scale introduction of distance learning, the education sphere faces new social and psychological problems related with self-actualization, improvement of intelligence level, and spiritual development of youth and students. Today, the young teacher is a bearer of a unique subculture, the holder of a special personal position, which is characterized by the active nature of consciousness, understanding of the importance of personal initiative in the education of the generation. We consider the student as a representative of young people, who is a carrier of cognitive activity, owning ways of interacting with social reality, including personal initiative. The status of a student of a pedagogical university in Moscow plays an important role in creating a certain socio-cultural environment of the metropolis. Research objective is to substantiate and diversify interdepartmental experience of the Institute of Foreign Languages in development of initiative and activity of students during studying socio-cultural space of the capital. This article presents the training experience of future teachers, which can be used in university educational environment, as well as illustrative examples confirming appropriateness and consistency of educational policy of Institute of Foreign Languages, Moscow City University, in this direction. The research is based on generalization of teaching experience in training teachers of the English language and theoretical methodological provisions described by leading Russian and foreign researchers. This research generalizes the most efficient methods and skills of development of youth initiative upon designing and implementation of authors’ projects of study of socio-cultural space of Moscow, the toolkit for support of students’ projects is presented. The importance of development of youth initiative for formation of socio-cultural competence of teacher and his self-education has been proven.
On-Demand Remote Software Code Execution Unit Using On-Chip Flash Memory Cloudification for IoT Environment Acceleration

In an Internet of Things (IoT)-configured system, each device executes on-chip software. Recent IoT devices require fast execution time of complex services, such as analyzing a large amount of data, while maintaining low-power computation. As service complexity increases, the service requires high-performance computing and more space for embedded space. However, the low performance of IoT edge devices and their small memory size can hinder the complex and diverse operations of IoT services. In this paper, we propose a remote on-demand software code execution unit using the cloudification of on-chip code memory to accelerate the program execution of an IoT edge device with a low-performance processor. We propose a simulation approach to distribute remote code executed on the server side and on the edge side according to the program’s computational and communicational needs. Our on-demand remote code execution unit simulation platform, which includes an instruction set simulator based on 16-bit ARM Thumb instruction set architecture, successfully emulates the architectural behavior of on-chip flash memory, enabling embedded devices to accelerate and execute software using remote execution code in the IoT environment.
A soldier named interval

Music is inherent to mankind. It accompanies us throughout all our lives, from the time we are in our mother’s womb (the heartbeats of the mother) until we die. It has the power to change our mood; it stimultates basic physicological processes, such as perception, attention and memory; it is universal as it has no barriers or frontiers; it promotes creativity and, thus, thinking and sentiments. In addition, it is verbal and non verbal communication. The fact of having theoretical knowledge, like the one offered here, that can be put into practice, allows us to understand when sharing materials; it allows us to analyse musical pieces, value their musical quality and be critical. Nowdays, a lot of resources exist within reach of most people: books, journals, events, etc.., everything is available on the Internet. Each day more people with more training offer materials adapted to all levels, tastes and ages, turning knowledge into a universal right. We all collaborate and share; music is endless. The aim of this paper is precisely this: to be a guide of basic musical aspects (types of intervals and key signature) so that any person, preferibly children, can understand making music education as a right from the first school stages. Contents are a tool that allows us to analyse and understand different types of music (such as current commercial music, which is generally quite simple) and to be able to appreciate other more complex and interesting styles
Μέθοδοι βελτιστοποίησης στις μηχανές αναζήτησης (SEO) ιστοσελίδων οργανισμών πληροφόρησης

Websites are an important part of information organizations. Through them organizations presented their content, news and related information to the public. Search engines are the medium that help users to discover the desired content. In this sense, it is very important that the most related web pages to the users’ queries should appear in the first in the results. The optimization of the order of appearance in the search engines of the web pages (also known as SEO - Search Engine Optimization) improves locating the appropriate results and affects positively (or negatively) the discoverability and the findability of the digital content. The ultimate goal of search engine optimization is to attract users and meet their information needs accurately.Therefore, through the study and analysis of the websites with the use of internet tools, the necessary enhancements are proposed both for the improvement of some characteristics regarding the structure, the speed and the security, as well as for the minimization of the actions that are needed by users to access the resources. Websites of libraries, archival organizations, museums, research centers and universities from Greece and abroad will be used as field of application.
ResNet50-YOLOv2-Convolutional Neural Network Based Hybrid Deep Structural Learning for Moving Vehicle Tracking under Occlusion

The exponential rise in software computing and low-cost hardware technologies has broadened the horizon for the different applications serving human for reliable and efficient decisions. Amongst major contemporary applications, surveillance systems have demanded more efficient vehicle detection and tracking systems, especially under occlusion, which is common in contemporary dense urban traffic conditions. As a viable solution multiple cameras based target-tracking has gained widespread attention; though very less researches address target similarity, low-computation demands and time-efficiency, which is of utmost significance. Factually, identifying moving target region, extracting spatio-temporal features, learning, synchronizing results is always challenging. Though, deep learning methods have performed better for vehicle classification, its efficacy has remained unexplored, especially for moving target-tracking under occlusion-probability. However, learning deep features over different inputs and synchronization is tedious. Realizing such complexity, in this paper we developed a novel Hybrid Deep Structural Learning (HDSL) model by cascading layer-modified ResNet50 with YOLOv2 layer and Convolutional Neural Network (CNN) to perform moving vehicle tracking under occlusion. In our proposed method, ResNet50 functions as initial layer to extract multilayer features, while YOLOv2 operates for target identification, tracking and continuous labeling. Furthermore, to verify detected target and its tracking efficiency we applied CNN which distinguishes moving vehicles in its specific types. Noticeably, unlike classical YOLO layer based learning we designed YOLOv2 with normalized loss function based bounding box generation and labeling. ResNet5 and YOLOv2 helps achieving moving vehicle tracking under occlusion. MATLAB based simulation over standard benchmark datasets such as CityFlow, DETRAC MOCAT revealed that the proposed model achieves maximum tracking and online target classification (under occlusion) accuracy of 97.19%, while ensuring precision of 95.31%, recall 95.52% and F-Score of 95.41%.
Effects of using images and context in English vocabulary learning

This study examined the effects of using images and context on learning English vocabulary by Korean learners. Eighty-nine high school students with different proficiency levels of English participated in the study by being divided into two groups: One group received vocabulary instruction by using both images and context while the other learned by using context only. They were then given tests to measure both short- and long-term gains in vocabulary knowledge. Questionnaires were administered to the participants in order to measure changes in learners’ affective factors including interest, motivation and self-confidence in vocabulary learning. The results revealed that both groups showed a significant within-group effect in that there were significant gains from the pre- to both posttests. Specifically, a positive influence of either images plus context or context-only was shown when learning vocabulary. The results also revealed that a larger gain was observed with productive knowledge than receptive knowledge, and also with low level learners. Lastly, the results of the questionnaire showed that the two groups’ interest, motivation, and self-confidence increased by learning vocabulary through images and context. In particular, the group who learned by images and context showed higher gains in affective domains. This study concludes with some suggestions regarding vocabulary learning for English as a foreign language classrooms.
UTILIZING GRAPHIC ORGANIZER STRATEGY IN TEACHING WRITING ON NARRATIVE PARAGRAPH

This research is entitled “Using graphic organizer strategy in teaching writing on narrative paragraph (experimental research). Writing is a very important subject that should be learned by English learners. The students should be able to express their ideas and opinion either in the form of a sentence or paragraph. However, the researcher found that many students at the Second Grade Students of SMP Negeri 1 Tanah Luas could not express their ideas and develop into the paragraph. Hence, the appropriate strategy of teaching and learning is very important to help students master writing skills. This research aims to know the effect of achievement between the students who are taught writing by using graphic organizers from those taught writing in the narrative by using traditional methods. This research was experimental research and used a quasi-experimental design. The samples chosen in this research were the whole students of class VIII2 and VIII4 of SMPN 1 Tanah Luas. Class VIII2 consisted of 25 students was chosen as experimental group and class VIII4 consisted of 24 students was chosen as control group. This research was conducted in three phrases; there were pre-test, treatments and post-test. The data collection technique used in this research was test. The tests were pre-test and post-test. The researcher gave pre-test before giving treatment and post-test after giving treatment. The treatment was conducted in three meetings. The data was analyzed by using t-test formula. The research result and the hypothesis authentication found by using t-test formula in significant level 5% or α = 0.05 were obtained that ttest &gt; ttable. The ttest found in this research was 3.91. Meanwhile, ttable was gotten from the list of distribution value with degree of freedom = 47, because the data not in the table, the researcher used interpolation approach and obtained = 1.67. So &gt; = 3.91 &gt; 1.67. It meant that Ha was accepted and Ho was rejected. So, graphic organizer strategy significantly affects the students’ ability in mastering writing.&#x0D; &#x0D; Kata Kunci: graphic organizer strategy, teaching and learning, writing narrative paragraph
AN EXAMINATION OF STUDENTS’ NEEDS IN LEARNING ENGLISHAT PASCASARJANA OF UIN ANTASARI BANJARMASIN

This research was aimed to answer questions of what students‟ necessities in learning English and whether or not teaching and learning English at Pascasarjana of UIN Antasari Banjarmasin meets students‟ necessities. Because, study programs of Program Magister (S2) at Pascasarjana of UIN Antasari Banjarmasin should have clear necessities and materials taught by lecturers could improve students‟ ability to more effectively when they do the task. This research is conducted with descriptive qualitative research designed by Miles and Huberman. The participants of this research involved 30 students of second semester of Program Magister (S2) and 5 English lecturers at Pascasarjana of UIN Antasari Banjarmasin. The data were collected through questionnaire and online interview, it was analysed in three steps of data analysis: data condensation (the process of selecting, focusing, and simplifying, the data which has been collected), data display (show data have been organized and compressed), and drawing and verification conclusion. The result showed that students‟ necessities in learning English at Pascasarjana of UIN Antasari Banjarmasin are need to be able to read and understand English book or English academic text or International journals. Besides, students need to be able to answer TOEFL test because those are a requirement before they do thesis exam in Program Magister (S2) at Pascasarjana of UIN Antasari Banjarmasin. Then, the relation between students‟ necessities and teaching & learning English in most of classes related to students‟ necessities, and a few classes not related. In other word, most of teaching and learning English at Pascasarjana of UIN Antasari Banjarmasin meets students‟ necessities.
LibGuides: Instructional Continuity : Additional Resources (Best Practices)

Resources and tutorials available for faculty to transfer instructional content and activities to the online environment.
Growth rate of EAC countries (2018-2021)

From 2018 to 2019, the growth rate curve was ascending for all EAC countries. With covid-19 in 2020, the curves were downward except for South Sudan. ...
Modulation Parameters Recognition Algorithm Based on Expectation Maximization for Continuous Phase Modulation

Continuous phase modulation (CPM) is widely used in short wave communications because of its high power efficiency and constant envelope characteristic. The modulation parameters recognition of the continuous phase modulated signals in non-cooperative communications is beneficial to restore information and impose interference. In order to overcome the disadvantage of slow convergence speed of expectation maximization (EM) algorithm for CPM parameters recognition, an improved EM algorithm is proposed to solve this problem. The improved algorithm employ Newton-Raphson (NR) iterative method to estimate the frequency offset, the channel gain is determined by the value of frequency offset, the variance of the complex additive white noise is acquired by the frequency offset and the channel gain. The simulation results show that the improved method has a faster convergence speed under the same iteration termination conditions. Moreover, the proposed algorithm has a better probability of correct recognition when the number of iterations is the same.
Quantum random number characterization via quantum inspired machine learning

The generation of good random numbers impacts basic research and applications beyond pure academic interests: random numbers are required for countless applications, such as cryptography and simulations. For most applications, it is of outmost importance to know if a set of numbers is truly random, pseudo-random or contains some residual correlations. Tensor networks are powerful data structures that spring from quantum many-body physics and are now increasingly applied to machine learning applications. This thesis plans to explore the intersection between these two fields, applying quantum-inspired machine learning to random number generation. We aim to perform and characterise novel statistical checks comparing and characterising the statistical quality of different number sets: correlated, pseudo-random, and quantum-random.
A Hybrid Estimation of Distribution Algorithm with Differential Evolution based on Self-adaptive Strategy

Estimation of distribution algorithm (EDA) is a popular stochastic metaheuristic algorithm. EDA has been widely utilized in various optimization problems. However, it has been shown that the diversity of the population gradually decreases during the iterations, which makes EDA easily lead to premature convergence. This article introduces a hybrid estimation of distribution algorithm (EDA) with differential evolution (DE) based on self-adaptive strategy, namely HEDADE-SA. Firstly, an alternative probability model is used in sampling to improve population diversity. Secondly, the proposed algorithm is combined with DE, and a self-adaptive strategy is adopted to improve the convergence speed of the algorithm. Finally, twenty-five benchmark problems are conducted to verify the performance of HEDADE-SA. Experimental results indicate that HEDADE-SA is a feasible and effective algorithm.
An Enhanced Security for Online Voting System using Blockchain Technology

An electoral system or voting system is a set of rules that determine how elections and referendums are conducted and how their results are determined. Election is a very important event in a modern democracy but large sections of society around the world do not trust their election system which is major concern for the democracy. Distributed ledger technology is an exciting technological advancement in the information technology world. Blockchain Technologies offer an infinite range of applications benefiting from sharing economies. In this paper the proposed system is to store the ballot information as a block node for each and every voter and transfer the voters vote hash over the internet to all other nodes. The proposed system is cost-efficient when compared to the traditional electronic voting machines.
THE IMPACT OF HUMAN CAPITAL ON ECONOMIC GROWTH IN SAUDI ARABIA (STANDARD STUDY FOR THE PERIOD(1986-2016)

The Impact of Human Capital on Economic Growth in Saudi Arabia (Standard study for the period 1986 – 2016) Omar Abdul Aziz Al Amoudi Abstract Investing in human capital through education is one of the most important topics in the economy. Education is one of the most important factors driving economic growth. It focused mostly on the accumulation of human capital as a source of accelerated growth. This accumulation of human capital requires spending and investment on education, which reaps its returns through economic growth. The study aimed to show the impact of investment in human capital on the economic growth in the Kingdom of Saudi Arabia during the period (1986 - 2016), by measuring the contribution of each of the indicators of the educational system represented in the number of Saudi workers, and the number of enrolled in different educational stages, Spending on education, and university education outcomes on economic growth. The linear regression model was estimated using the fully corrected least-squares method and the distributed slow-down model (ARDL) as a co-integration method, and variable stability testing using ADF and PP, The study concluded the strength of the relationship between education indicators and economic growth, as well as a positive and statistically significant relationship between the number of Saudi workers in the public and private sectors, In addition to the existence of a strong positive relationship between the number of enrolled within the different educational levels and GDP and has a statistical significance except those enrolled in secondary school where it appeared negative relationship with GDP but has a statistical significance, as spending on education affects economic growth positive relationship as the more spending On education has increased GDP and has a statistical significance, Finally, the study found that higher education outputs represented in the number of university degrees contribute positively to GD