Reviewerly/exHarmony huggingface dataset:
The Interplay between Digital Competencies and Information Literacy in Academic Writing Online Class during COVID-19 Pandemic (PLS-SEM Approach)

Abstract. Due to insufficient academic literacy competency, which consists of information literacy and digital competency, students face online learning barriers during the COVID-19 pandemic. In addition, in the 21st-century learning framework, digital competency has considered as an essential skill. This study examines the interplay between mastery of hardware &amp; software, digital cooperation, digital security, mastery of digital development, and digital skills toward information literacy. They were randomly selected as respondents was a sample of 258 students from the ESP class who took academic writing in Papua's university. The data was analyzed using Smart PLS 3.0.0. in order to conduct exploratory factor analysis. The results show that digital competency correlates positively with digital cooperation, digital security, and digital development mastery. Meanwhile, hardware and software mastery have a positive association with digital cooperation. In addition, digital competency has positive correlation toward information literacy. The implications for academic staff and policymakers of the findings of this study are presented.Keywords: Exploratory Factor Analysis, Digital Competency, Information Literacy, Academic Writing, COVID-19
Private Split Inference of Deep Networks

Splitting network computations between the edge device and the cloud server is a promising approach for enabling low edge-compute and private inference of neural networks. Current methods for providing the privacy train the model to minimize information leakage for a given set of private attributes. In practice, however, the test queries might contain private attributes that are not foreseen during training. We propose an alternative solution, in which, instead of obfuscating the information corresponding to a set of attributes, the edge device discards the information irrelevant to the main task. To this end, the edge device runs the model up to a split layer determined based on its computational capacity and then removes the activation content that is in the null space of the next layer of the model before sending it to the server. It can further remove the low-energy components of the remaining signal to improve the privacy at the cost of reducing the accuracy. The experimental results show that our methods provide privacy while maintaining the accuracy and introducing only a small computational overhead.
¿Disputar, interpelar? Activismo político juvenil y comunicación. Apuntes para una primera aproximación

This paper reviews the relation between the youth experiences of political dissent and the communication processes that are part of them. The ideas and reflections will keep as a reference the diversity of contemporary sociopolitical expressions of Mexico, from the YoSoy132 movement to the resistance and mobilization that take place in a collective form, characterized by the strategic use of digital media and interactive communication, which distinguishes them from earlier forms of dissent that were linked to interpersonal and mass communication. These emergent forms of political dissent that are technologically mediated allow their participants to dispute and interpellate the political and economic actors the cultural meanings that are part of the social conflict, through concrete communication products like digital texts, images, videos.
Multi-Robot Containment and Disablement

This paper presents the multi-robot containment and disablement (CAD) problem. In this problem, a team of (ground or aerial) robots are engaged in a cooperative task of swarm containment and disablement (for example, locust swarm). Each team member is equipped with a tool that can both detect and disable the swarm individuals. The swarm is active in a given physical location, and the goal of the robots is twofold: to contain the swarm members such that the individuals will be prevented from expanding further beyond this area (this is referred to as perfect enclosure), and to fully disable the locust by reducing the size of the contained area (while preserving the perfect enclosure). We determine the minimal number of robots necessary to ensure perfect enclosure, and a placement of the robots about the contained area such that they will be able to guarantee perfect enclosure, as well as a distributed area reduction protocol maintaining perfect enclosure. We then suggest algorithms for handling the case in which there are not enough robots to guarantee perfect enclosure, and describe their performance based on rigorous experiments in the TeamBots simulator.
PUNISHMENT &amp; REWARD, IKLIM ORGANISASI, DAN KOMPETENSI TERHADAP PRODUKTIVITAS KARYA ILMIAH DOSEN PERSAUDARAAN DOSEN REPUBLIK INDONESIA (PDRI) SUMATERA SELATAN

This research aims to analyze Punishment &amp; Reward, organizational climate and potential for the productivity of the scientific work of PDRI South Sumatra lecturers. The research method used is quantitative research with descriptive and verification confirmative survey methods, with a population of 234 PDRI members in the Whatsapp (WA) group and 132 taken after being verified in answering questionnaires and interviews, as well as data processing using the SPSS 23 tool. that punishment &amp; rewards for lecturers can affect productivity with t count 6.215&gt; t table 1.976, organizational climate affects productivity with t count 6.215&gt; table 1.976, and compensation affects productivity with t count of 4.044&gt; t table 1.976, and punishment &amp; reward, Organizational climate, and competence together affect productivity with F count of 26.484&gt; F table 3.0663, with the output solvent coefficient of R Square 70.9%. Thus, that reward &amp; reward affects productivity, organizational climate affects productivity, and competence affects productivity, and together punishment &amp; reward, organizational climate, and competence affect productivity.Key words: punishment &amp; reward, organizational climate, Competence, and Productivity
Developing a new approach to summarize Arabic text automatically using syntactic and semantic analysis

Due to the wide spread information and the diversity of its sources, there is a need to produce an accurate text summary with the least time and effort. This summary mustÂ preserve key information content and overall meaning of the original text. Text summarization is one of the most important applications of Natural Language Processing (NLP). The goal of automatic text summarization is to create summaries that are similar to human-created ones. However, in many cases, the readability of created summaries is not satisfactory, Â Â because the summaries do not consider the meaning of the words and do not cover all the semantically relevant aspects of data. In this paper we use syntactic and semantic analysis to propose an automatic system of Arabic texts summarization. This system is capable of understanding the meaning of information and retrieves only the relevant part. The effectiveness and evaluation of the proposed work are demonstrated under EASC corpus using Rouge measure. The generated summaries will be compared against those done by human and precedent researches.Â Â
Development of Virtual Reality Application to Increase Student Learning Motivation with Interactive Learning in Vocational Education

Abstract In Vocational Education, learning by doing is very important to complement the concept of learning with technical introduction to maximize the results of the material received. However, in various subject areas, learning is still carried out conventionally and students are unable to apply their knowledge practically even though they have theoretical understanding. This is closely related to the lack of motivation from students in the classroom because there is no interactive course content required for visualization of concepts in each subject area. Even during the COVID-19 pandemic, teaching and learning activities had to be carried out online at their respective homes. So that further limits the scope of student practice to maximize learning outcomes. As a result, it is not possible for students to understand more in-depth concepts of subject matter using conventional learning methods. Students’ motivation to learn will increase if students are provided with practical tools so that they can be visually involved and engage with what they teach in class. The development of practical tools with Virtual Reality technology, which can visualize 3D models can be a solution to meet this goal. The main objective of this paper is to create and use Virtual Reality as an immersive learning medium and its contribution to student motivation to understand the definition of subject matter in various fields.
Integrating linguistic knowledge into DNNs: Application to online grooming detection

Online grooming (OG) of children is a pervasive issue in an increasingly interconnected world. We explore various complementary methods to incorporate Corpus Linguistics (CL) knowledge into accurate and interpretable Deep Learning (DL) models. They provide an implicit text normalisation that adapts embedding spaces to the groomers' usage of language, and they focus the DNN's attention onto the expressions of OG strategies. We apply these integration to two architecture types and improve on the state-of-the-art on a new OG corpus.
Analysing and comparing the digital seal according to eIDAS regulation with and without blockchain technology

Digitalisation of public services has already changed the way how we interact with government. The electronic signature, based on public key cryptography, has strengthened the trust towards this transformation. With the recent appearance of the electronic seal, this digital transformation is complete. The new European Union regulation for electronic identification, authentication and trust services (eIDAS) has repealed the old directive and provides a regulatory environment. In the meantime, a novel technology based on cryptography rose as an alternative to fulfil these objectives - the blockchain. This paper, analyses the properties of the electronic seal, based on eIDAS regulation, with and without blockchain technology. The developed application uses local X.509 digital certificates and the multichain platform for the creation and deployment of private blockchains. At the end of the paper, an overview of this comparison is provided, using different documents, pointing out the pros and cons of each technology.
Augmented Reality in Education in Era 4.0

In the era of 4.0 with the growing use of wireless technology, Augmented Reality (AR) becomes an alternative to be used in learning media.Several studies have shown that this technology is effective as a medium for learning science and technology.Therefore, research is also needed to examine the effectiveness of AR technology in learning Islamic religious education.The aims of this study was to determine the effectiveness of AR on Islamic religious education learning.This study used a quasi-experimental method with a model of non-equivalent control group design.The experimental class consisted of grade 10 SMA (Senior High School) Sains Al-Qur'an Yogyakarta, Indonesia.The results showed that there was a significant difference between the control group and the experimental group.The experimental group was faster in understanding Islamic religious education learning than the control group.
Optimal Measurement of Field Properties with Quantum Sensor Networks

We consider a quantum sensor network of qubit sensors coupled to a field $f(\mathbit{x};\mathbit{\ensuremath{\theta}})$ analytically parameterized by the vector of parameters $\mathbit{\ensuremath{\theta}}$. The qubit sensors are fixed at positions ${\mathbit{x}}_{1},\ensuremath{\cdots},{\mathbit{x}}_{d}$. While the functional form of $f(\mathbit{x};\mathbit{\ensuremath{\theta}})$ is known, the parameters $\mathbit{\ensuremath{\theta}}$ are not. We derive saturable bounds on the precision of measuring an arbitrary analytic function $q(\mathbit{\ensuremath{\theta}})$ of these parameters and construct the optimal protocols that achieve these bounds. Our results are obtained from a combination of techniques from quantum information theory and duality theorems for linear programming. They can be applied to many problems, including optimal placement of quantum sensors, field interpolation, and the measurement of functionals of parametrized fields.
Improvement of Secure Multi-Party Multiplication of (k, n) Threshold Secret Sharing Using Only N = k Servers

e realize MPC of multiplication with the setting of N=k,n≥2k-1. We also show that our proposed method is information theoretic secure against a semi-honest adversary.
Peningkatan Minat Baca dengan Program Generasi Masyarakat Gemar Membaca di RPTRA Cililitan Jakarta Timur

Reading has many benefits, one of which is opening the world. PISA research shows a low level of Indonesian literacy compared to countries in the world. Needs to be done to foster interest in reading from an early age and apply it to the community. Based on the initial survey, The Cililitan RPTRA has good facilities, such as the availability of a library room. The number of visitors to the library room is small. We can see that there is a low interest in reading at The Cililitan RPTRA visitors. This activity purpose to achieve a high interest in reading in The Cililitan RPTRA, East Jakarta. The method of activity is community development, encapsulated under the name of The Generation of Reading Fondness Program. Based on interviews with The Cililitan RPTRA visitors this program can increase reading interest. Socialization about the importance of reading needs to be done continuously. Other activities that can upgrade interest in reading such as storytelling and educational games. Procurement of books can be a solution to increase reading choices for visitors to The Cililitan RPTRA.
Edge-Concerned Embedding for Multiplex Heterogeneous Network

Network embedding (or graph embedding) has been researched and used widely in recent years especially in academic and e-commerce area. Most methods pay more attention to homogeneous networks with single-typed nodes or edges. However, networks in real world are more complex and larger, consisting of multiple types of nodes, edges and even node attributes. Existing algorithms treat these multiplex heterogeneous networks as homogeneous network, ignoring correlations among different node types and edge types even deep semantic information. In light of these issues, we developed a new framework to solve heterogeneous network embedding problems. We mainly focus on Attributed Multiplex Heterogeneous Network but our method can apply to both heterogeneous and homogeneous networks. We also propose an edge-concerned metapath strategy to guide random walk, providing walking guidance among different layers separated by edge type and then leverages a heterogeneous skip-gram model to compute overall node embeddings. We conduct quantitative experiments to evaluate our method on four public dataset: Amazon, Youtube, DBLP and Movielens. As demonstrated by experimental results, our method achieves statistically significant improvements over compared previous methods on link prediction tasks. We also explore the parameter sensitivity of our proposed model to figure out function fluctuation while tuning parameters.
An Attention-Enhanced Edge-Cloud Collaborative Framework for Multi-Task Application

We investigate in this paper the issue of Internet of Things (IoT) architecture to take advantage of edge-computing and intelligence. Edge devices are often shared by services packaged running different applications. This requires edge infrastructure to be able to switch between applications. Also, most IoT systems usually concurrently run multiple applications that target different tasks. To address these problems, we propose an attention-enhanced cloud-edge collaborative framework that is composed of one universal block (UB), a few initial layers of the deep model, located at the edge and multiple parallel task-specific attention blocks (TSABs) located in the cloud. For each task, a deep model is constructed by the UB and a TSAB where the UB is responsible for the general feature extraction and the TSABs are responsible for the subsequent task-specific processes. We empirically demonstrate the effectiveness of our approach with several state-of-the-art Convolutional Neural Network (CNN) models, including VGG and ResNet network architectures on various image classification datasets.
Effect of project-based learning and problem-based learning on the students’ writing achievement

The objective of the research is to find out significant differences on the writing achievement between students taught through Project-Based Learning, Problem-Based Learning, and those who are not. This research is quasi-experimental research. The subjects consisted of two groups of students as the experimental groups and one group as the control group. The data were obtained by essay writing tests. The data analysis used descriptive analysis and inferential statistics. The hypothesis was tested using the analysis of covariance (ANCOVA) at the significance level of 0.05. The result of the ANCOVA in the posttest score shows that the significance value is 0.001, which is less than the significance level of 0.05 (F = 7.493, p 0.05). This means that there is a significant difference in the writing ability among grade eight students of SMP N 2 Kalasan taught by using the Project-Based Learning, from those taught using the Problem-Based Learning and those who are not.
Predictions of Daily Horizontal Solar Radiation for Rural Development: The Case of Mubi Town, Adamawa State, Nigeria

The solar radiation which is produced by the sun has created interests for the renewable researchers in the area of solar technology to make environment friendly and develop communities through this abundant energy potential. This study developed a model of Daily Horizontal Solar Radiation (DHSR) for Mubi, Adamawa State, Nigeria. The present study data were obtained from National Aeronautics and Space Administration (NASA) in year 2017. The sought data were air temperature and Relative Humidity which were used as the input parameters and DHSR used as output. Mathematical Model of DHSR of the study area was generated through the Multiple Linear Regression (MLR) analysis that was done in the Microsoft World Excel. Results of the research were validated using statistical tools of Mean Square Error and Correlation Coefficient given 1.61 and 0.95 respectively. Consequently, it was concluded that MLR Model can be considered as a substitute for evaluating the Actual DHSR for weather condition data of Mubi. Therefore, this finding is significant to the development of the socio-economic activities of the Mubi Town. Based on this finding it was recommended that the behavious of MLR Model should be tested in other locations across the Northeast, Nigeria.
The Use of Code-Switching and Code-Mixing in English Teaching-Learning Process

&lt;p&gt;The research aims to find out types of code-switching and code-mixing, the functions of code-switching and code-mixing in the English teaching-learning process. The method of this research is a qualitative descriptive method. The data source is English teachers’ utterances in teaching English as a foreign language, the teacher’s language of instructions. The results of the research are: 1) the students and teachers used code-switching and code-mixing in the process of communication in the classroom; 2) in code-switching, they used inter- sentential, intra- sentential, and tag switching; 3) in code-mixing, they used alternation and insertion; 4) the functions of code-switching include reiteration, message qualification, personalization, referential, and poetic; 5) the function of code-mixing is to draw students’ attention in learning. The findings imply that code-switching and code-mixing are necessary to facilitate learning.&lt;/p&gt;
IMPLEMENTASI KURIKULUM 2013 DALAM MATA PELAJARAN BAHASA INDONESIA DI SMA NEGERI 7 PADANG

ABSTRACT The purpose of this study is to describe (1) planning of learning Indonesian language in the implementation of 2013 Curriculum in SMA Negeri 7 Padang (2) implementing Indonesian learning in implementing 2013 Curriculum in SMA 7 Padang, and (3) evaluating Indonesian learning in implementing 2013 Curriculum at Padang 7 High School. This type of research is a qualitative research with descriptive methods. This research was carried out in Padang 7 High School. The data in this study are the results of data collection by utilizing guidelines for observation, interviews, and documentation about planning, implementing, and evaluating learning conducted by Indonesian language teachers in SMA Negeri 7 Padang obtained from data sources. The techniques used in the research are observation, interviews, and documentation studies. Techniques used to analyze data are data identification, data presentation, and drawing conclusions.Based on the research findings and research results, the following three things can be concluded. (1) Learning planning in the form of RPP made by Indonesian language teachers in SMA Negeri 7 Padang is mostly in accordance with the principles of RPP preparation contained in Permendikbud Number 22 of 2016 concerning the Process of Primary and Secondary Education. (2) The implementation of Indonesian language learning in SMA Negeri 7 Padang has been carried out with a scientific approach. (3) Assessment in Indonesian language learning at SMA Negeri 7 Padang is carried out with authentic assessment, which includes an assessment of the process and an assessment of results. Teacher 1 and teacher 2 of Indonesian subjects have carried out attitude aspect assessments by observation and journals, knowledge assessment by written tests and assignments and skills assessment by practice / performance, project and product assessments. Kata Kunci: Implementasi, Kurikulum 2013, Mata Pelajaran Bahasa Indonesia
Strategia selektywna jako narzędzie w archiwizacji Webu. Analiza wybranych przykładów

Particular archives and projects securing web resources define corresponding solutions and methods of operation in order to achieve the goal set for them. Among them is a strategy that influences how websites and other online material are selected and collected. The article discusses one of the most commonly used solutions – the selective collection strategy. It follows on from 11 examples of archives and initiatives that use this approach. Three types of sources were used to prepare the analysis, which provided information on the use of selective strategy by individual projects: their websites, guidelines and scientific studies on them. During their research, particular attention was paid to what materials they try to archive, how they identify and select them, and how they collect them, and what criteria they apply. In the course of data collection, it was noticed that there was no access to precise information on the functioning of some of the selected examples. For this reason, as well as their great diversity, it was impossible to present them according to one specific scheme. On this basis, supported by the literature on the subject, it was possible, however, to determine what kind of initiatives use the selective strategy and how they apply it, and what are its effects. The review of initiatives also allowed for the characterization of this solution and for drawing conclusions about its advantages and disadvantages.