Reviewerly/exHarmony huggingface dataset:
THE APPLICATIONS USED FOR ONLINE LEARNING AT THE ENGLISH EDUCATION STUDY PROGRAM

The pandemic of Covid-19 has forced all of the education system to switch into online, included the students and teachers of English Education Study Program, University of Palangka Raya. This research is intended to analyze the use of applications by students and teachers, also the reasons of using the applications. This research applied qualitative method and the data were analyzed descriptively. The data were the responses from teachers and students for the questionnaires given through Google Forms. The subjects for gaining the data were the students of academic year 2020/2021 and the teachers at the English Education Study Program, the Faculty of Teacher Training and Education, University of Palangka Raya. The results show that the five most favourite applications used by the students were Google Classroom (85.97%), Zoom (74.66%), WhatsApp (48.41%), Google Meet (47.51%), YouTube (11.76%). The reasons why the students used the applications were the applications were easy to use (77.77%), they were quota saving (25%), they were easy to access (11.11%), they had many features (11.11%), and they were effective (9.25%). The five applications used by most of the teachers at the English Education Study Program were Google Classroom (88.88%), Zoom (61.11%), WhatsApp (50%), Google Meet (38.88%), Google Form (22.22%).  The reasons why they chose the applications were because the applicationswere easy to use (66.66%), the familiarity with the application (22.22%) and they were easy to access/connection friendly (22.22%). The additional reasons were the applications were quota saving (16.66%), it had complete features (16.66%) and they were unlimited (16.66%). The reasons that both students and teachers gave in this research regarding the applications used in online learning can be the considerations, especially for the teachers and the institution in designing and choosing the best applications, platforms, or teaching tools for the online learning
Designing and benchmarking full-stack Quantum systems (keynote)

Quantum computing is now in the so-called NISQ (Noisy Intermediate-Scale Quantum) era, in which quantum processors with a limited number of qubits and imperfect behaviour are capable to execute relatively small quantum algorithms. In order to leverage the computational power of such error-prone devices, not only efficient compilation techniques are required but also optimized full-stacks need to be developed. In this talk, I will provide an overview on the compilation of quantum algorithms on NISQ devices. I will also discuss how the use of structured design space exploration methodologies could help towards the development of a cross-layer co-design framework for full-stack quantum systems that will allow for a top-bottom, bottom-up optimizations across layers and the benchmarking of quantum computers.
Extended Abstract - Transformers: Intrusion Detection Data in Disguise

IoT cyber security deficiencies are an increasing concern for users, operators, and developers. With no immediate and holistic device-level fixes in sight, alternative wraparound defensive measures are required. Intrusion Detection Systems (IDS) present one such option, and represent an active field of research within the IoT space. IoT environments offer rich contextual and situational information from their interaction with the physical processes they control, which may be of use to such IDS. This paper uses a comprehensive analysis of the current state-of-the-art in context and situationally aware IoT IDS to define the often misunderstood concepts of context and situational awareness in relation to their use within IoT IDS. Building on this, a unified approach to transforming and exploiting such a rich additional data set is proposed to enhance the efficacy of current IDS approaches.
LEVEL OF PARTICIPATION IN DOMESTIC SOLID WASTE MANAGEMENT AMONG RADIO LISTENERS IN DAR ES SALAAM CITY, TANZANIA

Effective management of domestic solid waste (DSW) is vital for human health and environmental protection. This can be achieved by involving various stakeholders, especially the local people, where knowledge and awareness of the effective management of DSW are required. Also, a positive attitude towards the issue of management with a good perception of cleanliness is among the fundamental factors that influence effective participation in domestic solid waste management (DSWM). The main objective of this paper is to determine the level of radio usage, awareness, perception, attitude, and participation in DSWM among radio listeners in Dar es Salaam City, Tanzania. This study tested the effectiveness of development communication theory (DevCom-theory) in disseminating DSWM information through radio programs. The study employed a quantitative research design, using the survey method with a questionnaire as the research instrument for data collection. A total of 392 respondents from Temeke Municipality participated in this study. The results show positive and significant levels of radio usage, awareness, perception, attitude, and participation in DSWM. Participation in DSWM was the highest-rated variable compared to the other variables. In addition, almost all items of the tested variables revealed insignificant differences by categories of gender, education, and household income.
On the Impact of Inter-language Dependencies in Multi-language Systems

Nowadays, developers are often using multiple programming languages to exploit the advantages of each language and to reuse code. However, dependency analysis across multi-language is more challenging compared to mono-language systems. In this paper, we introduce two approaches for multi- language dependency analysis: S-MLDA (Static Multi-language Dependency Analyzer) and H-MLDA (Historical Multi-language Dependency Analyzer), which we apply on ten open-source multi-language systems to empirically analyze the prevalence of the dependencies across languages i.e., inter-language dependencies and their impact on software quality and security. Our main results show that: the more inter-language dependencies, the higher the risk of bugs and vulnerabilities being introduced, while this risk remains constant for intra-language dependencies; the percentage of bugs within inter-language dependencies is three times higher than the percentage of bugs identified in intra-language dependencies; the percentage of vulnerabilities within inter-language dependencies is twice the percentage of vulnerabilities introduced in intra-language dependencies.
Designing English Course Learning Material for Grand Zuri Hotel Padang Employees

This research was aimed at designing English course handout for Grand Zuri Hotel Padang employees. The type of this research is Research and Development toward designing and producing handout for teaching and learning at Grand Zuri Hotel Padang. It is conducted for the employees of the hotel which participates for English class. In additon, there were 50 (fifty) employees involved in English teaching and learning process at Grand Zuri Hotel Padang and they were divided into two meeting. In fact, the result of the study shows that: (1) current analysis about teaching and learning process of Grand Zuri Hotel Padang related to several information of the previous teaching and learning process where the learners are in pre-intermediate level and a meeting last in 120 minutes, but there was no handout for the learners; (2) need analysis showed that the dominant skill needed by the learners based on the questionnaire were listening and speaking, generally the ability of the learners in English are good, and there were 19 (nineteen) topics that could be choosen by the learners; (3) in designing handout, there were 14 (fourteen) topics in the handout and there was also a syllabus of the handout, also the activity in the handout consist of the introduction about the topic, expressions, reading, paired practice, chit chatting, and worksheet; (4) to validate the handout, there were 4 (four) validators involved, General Manager of Grand Zuri Hotel Padang (Surni Yanti,S.Pd), two lecturers from Hotel Management Study Program at Universitas Negeri Padang, and experience trainer for English in otel industry. In conclusion, based on the findings, there should be attractive and easy to understand materials or handout for the employees of Grand Zuri Hotel Padang; (5) in order to know the effectifity of handout in teaching and learning there was limited try out in Grand Zuri Hotel. Based on the result of the try out, there is a conclution that the material which is prepared for the employees were needed in teaching and learning process , such as handout, which is made by easy and understandable format to be learned.
Big Data Ownership: Do we Need a New Regulatory Framework?

Big data is the new oil – but who has the right to own it? Is the owner the creator of the individual data or the owners of data processing systems which add value to the mass of data – or should the information be shared for free with state institutions, for example, with the goal of limiting the amounts of traffic accidents in the city? This is one of the debates of our time. However, it seems that current frameworks, whether regarding ip law or trade secrets regulations, do not provide sufficient answers. Problems also arise with the offer of contractual relationships or licensing. That initiates the thought that a new type of regulation might be needed.
UofL Libraries: Evaluating Expertise: Activity

Learn about the value of expertise and how to assess the authority of experts, based on credentials, reputation, and situational context.
PENGARUH METODE PENEMUAN TERBIMBING DALAM MENINGKATKAN PEMAHAMAN KONSEP KELAS 4PENGARUH METODE PENEMUAN TERBIMBING DALAM MENINGKATKAN PEMAHAMAN KONSEP KELAS 4

The understanding of the concept which is one of the objectives of learning mathematics in elementary schools is still low. This problem is the same as the data obtained by researchers through interviews with mathematics teachers in grade 4 MI Hidayatul Ummah Gampangsejati. That the ability of students to understand mathematical concepts is still low, it is possible that the method used during the mathematics learning process is not appropriate. So that researchers try to provide solutions by applying the guided discovery method in mathematics learning activities. Which aims to determine the implementation of the guided discovery method and the effect of the guided discovery method on understanding the mathematical concepts of grade 4 MI Hidayatul Ummah Gampangsejati. Guided discovery method is a learning method in which student-centered learning, the teacher is only a guide in learning activities. From the data obtained, that the score of 22 students at the pretest was below the kmh, meanwhile for the postest scores all students could complete the kkm Based on the data on the pretest and posttest values, the results of hypothesis testing showed that was an influence on understanding mathematical concepts after being treated in the form of guided discovery methods. documentation (4) poll, to know the students ' disciplinary character using pretests and posttest polls. Instruments before use in advance research validated and reliability. After that the hypothesis test was tested using the T (Pair-Sample t test) test. The results showed that there was an influence of the model learning Value Clarification Technique of Students ' discipline in MI sirojul ulum Lopang, this was evidenced by the significance of the 0,000 < 0.05 and the average result of the poll before Using the value learning model Clarification Technique (pretest) 41.15 and increased after using the value learning model Clarification Technique (posttest) to 78.8.
Deep Motivation or Surface Strategy: Effects of Authentic Technologies on Scientific Learning Outcomes and Study Approaches

The purpose of this study was to investigate the effects of applying two types of authentic technology, the immersion-based augmented reality (AR) and animation simulation (AS), on college students’ achievement, study approach, and attitude to learning concepts of natural science. The attention-relevance-confidence-satisfaction (ARCS) model was adopted as a learning framework, and a pretest-posttest quasiexperimental design was employed. In total, 122 college freshmen from three classes participated in the 6-week experimental instruction. The Revised Two-Factor Study Process Questionnaire and an attitude questionnaire were used during the experiment to obtain learners’ perceptions and manner of use of these technologies. The results revealed that (a) both types of technology improved knowledge, but the AR group significantly outperformed the AS group; (b) the study approach of the AR group changed from being balanced to being in favor of deep motivation and surface strategy, whereas that of the AS group changed from being balanced to biased toward deep strategy; (c) the AR group had a more positive attitude toward multimedia features and interaction functions, whereas the AS group exhibited a more positive attitude toward teaching materials, interface design, and practicality.
Application of Automatic Text-Classification Algorithm Based on Feature Extraction for Intelligent System of Transportation Knowledge Service

Through analyzing the data scale and characteristics of transportation science and technology information, an automatic text-classification algorithm based on text feature vector space model is presented. In the process, the keywords are determined by introducing the prior probability of each feature word and the TF-IDF value, and the CLC (Chinese Library Classification) classification number is determined by comparing the co-occurrence of keywords with the professional vocabulary data. In practice, the efficiency and accuracy of information classification indexing have improved perceptibly in application of intelligent system of transportation knowledge service.
Análisis comparativo de los contenidos de Ciencias de la Información de la Universidad Central “Marta Abreu” de Las Villas y el Movimiento iSchools.

A comparative study was carried out with the purpose of analyzing the contents of the specialty of Information Sciences at the Central University Marta Abreu of Las Villas (UCLV) and its correspondence with the iSchools Movement. The comparison method was applied and content analysis and clusters analysis were used as techniques. The results reflected the strong relationship between the contents of the UCLV and those of the iSchools of the Librarianship and Documentation Department of the Carlos III University of Madrid, in Spain. It is reaffirmed that the Spanish model constitutes an important reference for our country. The content of the disciplines of Records, Information and Knowledge Management and Research in Information Sciences are the most dissimilar according to the iSchools Movement, which shows how distant is the UCLV from the iSchools movement.
Information Extraction For Afaan Oromo News Texts Using Hybrid Approach

The numbers of Afaan Oromo documents on the web and in other machine readable forms are also increasing from time to time. As a result of this growth, the huge amount of text which contains different valuable information which can be used in education, business, security and other many areas are hidden under the unstructured representation of the textual data. This shows that getting the right information for decision making from existing abundant unstructured text is a big challenge. The unavailability of tools for extracting and exploiting the valuable information from Afaan Oromo text, which is effective enough to satisfy the users has been a major problem and manually extracting information from a large amount of unstructured text is a very tiresome and time consuming job. The overall objective of this research is to develop a hybrid information extraction model for Afaan Oromo news texts. The system was developed by using Python, General architecture text engineering(GATE) and Weka for classification and rule-based technique was applied to address the problem of automatically deciding the correct candidate texts based on its surrounding context words. Nearly hundred sport news texts which contain 550 words were collected from Oromia broadcasting network(OBN).
Aplikasi MOOC Untuk Pembelajaran Dalam Kualitas MAVIB

The publication of learning using MOOC in Raharja University is a facility for students and lecturers in learning, learning using MOOC is one of the objectives in the University of Raharja, which will help lecturers in explaining the material so that students are easy to access where I am in the study, the problem is the absence of web learning online using MOOC application, and the absence of information summary to take a decision and the difficulty of the students get information about course or view the material. To solve the problem is conducted research that builds an improvement system of student learning on the quality and quality of university Raharja using SWOT analysis and SPSS (Statistical Product and Service Solutions) method that is felt can help in the management of data. Then transformed in Web Form at Raharja University, it is expected to overcome existing constraints, by providing information that supports the decision-making system in the online learning publications. The system was created with collaborations from Rinfo, Rinfo Sheet, RinfoForm and iLearning Media that are part of the 10 pillars of Raharja University IT. That is further implemented for the needs of student publications at Raharja University through the Web I-Mavib.
Connecting Your UI with Your Back End

In previous chapters we created the front-end and back-end layers of our new Daniel's Delivery website. However, we are missing one part: How we are going to put those two together?
Identify the Problem to Be Solved

Ken Xie, who was born in China, is one of the most successful entrepreneurs in Silicon Valley. His focus has been on transforming cybersecurity technology, such as by developing the first ASIC-based firewall and VPM appliance in the 1990s.
On cryptographic properties of (<i>n</i> + 1)-bit S-boxes constructed by known <i>n</i>-bit S-boxes

Abstract S-box is the basic component of symmetric cryptographic algorithms, and its cryptographic properties play a key role in security of the algorithms. In this paper we give the distributions of Walsh spectrum and the distributions of autocorrelation functions for ( n + 1)-bit S-boxes in [12]. We obtain the nonlinearity of ( n + 1)-bit S-boxes, and one necessary and sufficient conditions of ( n + 1)-bit S-boxes satisfying m -order resilient. Meanwhile, we also give one characterization of ( n + 1)-bit S-boxes satisfying t -order propagation criterion. Finally, we give one relationship of the sum-of-squares indicators between an n -bit S-box S 0 and the ( n + 1)-bit S-box S (which is constructed by S 0 ).
Analyzing white blood cells using deep learning techniques

The field of hematology involves the analysis of blood and its components like platelets, red blood cells, white blood cells. The outcome of this analysis can be vital in determining the condition ...
Magic Book with Augmented Reality Technology for Introducing Rare Animal

Augmented Reality is a technology that is in great demand by application developers today in all fields, including in the field of education, because it is easier for children to understand while learning an object in 3D visual form to learn some information. Indonesia is a country with animal diversity throughout the island in Indonesia. Unfortunately, many animals in Indonesia are endangered or protected species. This is due to a lack of education that teaches and introduces the diversity of animals that exist in Indonesia so there is a lot of illegal hunting that resulted in some animals becoming rare to find. The aim of this research is to create an android-based application that contains an introduction to endangered species in Indonesia with Augmented Reality named “RaaR”.
USING THE JAKARTA POST ARTICLE AS MEDIA TO INCREASE STUDENTS‟ VOCABULARY IN SPEAKING CLASSROOM

The research focused on increasing students‘ vocabulary in the speaking classroom by using the Jakarta post article as media. Besides, the research was conducted for finding out how the Jakarta post article contributes the development of students‘ vocabulary in the speaking classroom. It is an action research on the students‘ second semester of English Language Education of Universitas Islam Syekh Yusuf in academic years 2017- 2018. As we know that speaking is one of ways to communicate, it is used to interact in social community. However, it is very hard for the students to speak English. It was because the students did not have many vocabularies to compose the sentence. Therefore, writer tried to use the Jakarta post article as media to increase the students‘ vocabularies in the speaking classroom. This research is quantitative research. The writer used SPSS version 24 to calculate the data to know the significantly result. The research findings showed that students‘ vocabulary in the speaking classroom increased after using the Jakarta post article as media. Based on the result of output test statistic in Mann-Whitney that showed the result score Asymp. Sig (2-tailed) 0.029 was smaller than probability score 0.05. It was concluded that using the Jakarta post article as media has given contribution to increase the students‘ vocabulary in the speaking classroom.
An Implementation of User Authentication System using Keystroke Dynamics-based and Adaptive Risk-based Authentication

In this paper, we propose a system that has the convenience of single-factor authentication and security of multi-factor authentication at the same time. This system consists of keystroke dynamics-based authentication(KDA), which uses biometrics, and adaptive risk-based authentication(A-RBA), which uses a user access information. KDA applied the One-Class SVM model, which is an unsupervised learning method that uses small dataset, and A-RBA applied the KNN model, which is supervised learning through a dataset created as a virtual scenario. As a result of the experiment, FAR and FRR of KDA are 0.21 and 0.04, respectively, and accuracy, recall, precision, F1 score, and CVAA of A-RBA are 97.5%, 98.5%, 98.3%, 98.1% and 99.2%, respectively. This result is higher performance than other machine learning models such as Logistic Regression and SVM. This proposed system not only provides user convenience, but will also be a good way to overcome the increasingly emerging hacking attacks.
IMPACT OF SOURCE CODE DECOMPRESSION (UNMINIFICATION PROCESS) ON THE MAP APPLICATION PERFORMANCE

Performance is the key usability attribute.Application performance is affected by its constituent components such as scripts, image files, and libraries.The objective of the paper is to analyse the impact of source code decompression on the performance of a map application.It focuses on two research questions.RQ1: what is the effect of source code decompression through unminification on the map application performance; and RQ2: does an application with a decompressed source code exhibit the primary (initial) performance?A prototype map application was developed to tackle the questions.Three application variants were prepared: 1) basic, 2) minified (compressed), and 3) decompressed (unminified source code).All three variants had their performance tested.The results were juxtaposed.New notions were introduced: primary performance, secondary performance, and code recycling.It was demonstrated that the secondary performance was a compromise between the primary performance and code clarity (readability).