Reviewerly/exHarmony huggingface dataset:
STUDENTS’ PERCEPTION ON THE USE OF DUOLINGO APPLICATION IN LEARNING ENGLISH DURING COVID-19

&lt;p&gt;This research aims to find out how students' perception of the use of Duolingo application in learning English. This research was conducted in SMP Swasta IT Al-Fattah Desa Lama. A qualitative method was used for this research and there were 20 students in the ninth class as the sample of this research. In collecting the data, this research used a questionnaire and interview. The findings took the result that most students agree and gave a positive response than the negative one of the use of Duolingo application in learning English during Covid-19. Duolingo application gave the benefits and contribution to both the students and teachers in learning English. 1) This application made the students feel enjoyable in learning English and made the learning process became fun during this Covid 19 pandemic; 2) This application gave a significant impact and increased students' knowledge and improved their English during this Covid 19 pandemic; 3) Using this application, the students had a chance to improve their English whenever they want to learn it. The conclusion could be taken that the students had positive responses and perceptions in using Duolingo application for learning English.&lt;/p&gt;
Deep CNN denoiser prior for blurred images restoration with multiplicative noise

Multiplicative noise always appears in the formation of image of synthetic aperture radar (SAR) and laser. In this paper, we use deep convolutional neural network (CNN) denoiser prior based alternating direction method of multipliers (ADMM) algorithm to deblur the image with multiplicative Gamma noise in the plug and play framework. In order to restore the image with more details, a sharpening operator is used. Experimental results show that our method achieves higher evaluation index and more abundant visuals.
PENGEMBANGAN E MODUL MEMBACA PERMULAAN UNTUK ANAK USIA 5 – 6 TAHUN

This research is a research development or Research and Development (R&amp;D) which aims to develop the E Module for Beginning Reading for Children aged 5-6 Years with the ADDIE development model. This research took place in TK Negeri 1 Sandai with 30 participants. This pre-reading e module has a novelty value, namely the e-module designation that targets Kindergarten students aged 5-6 years so that it is adapted to the characteristics of students. In this pre-reading e module, students are invited to learn to recognize letters by applying the steps to reading this beginning, equipped with interesting animated pictures to foster interest in reading and enthusiasm for learning in students. The results of the study indicate that the achievement of students' initial reading skills can be seen in the final assessment of 4.77 (95%) with Very Good Developing criteria (BSB). while in the initial assessment, namely 2.51 (50.2%) the criteria began to develop (MB). The achievement of the final assessment showed a significant difference between the results of the initial and final assessment, namely 2.26 (45.2%). The final assessment showed that the participants' basic reading ability increased by 45.2% compared to the initial assessment before using the e-module reading beginning. Thus, it can be concluded that the use of E Beginning Reading Module for Children aged 5-6 Years is very effective to use
Formation and Use of Open Access Resources in University Libraries during the Pandemic and Martial Law in Ukraine

Objective. The research is aimed at revealing the repository as an important tool for storing and promoting open access resources and open educational resources (OER) as a component of open access resources, and the role of the library in these processes. Methods. To achieve the purpose of the research, a complex of scientific methods was applied, including analysis and synthesis, comparison, statistical method and direct study of practical experience through the analysis of library reports. Results. During the research it was summarized the information about open access resources, in particular OER; examples of the national policy of forming repositories were considered; the experience of the formation and use of institutional repositories in the technical universities of Kharkiv and Mykolaiv was studied; the foreign experience of creating and functioning of repositories of the information-library profile was considered. Conclusions. The further direction of the university library in the promotion of the OER initiative is substantiated, namely, convergence of library activities with educational activities in the aspect of creating, planning, and organizing access to open educational electronic resources.
A Domain-Specific Evaluation of the Performance of Selected Web-based Sentiment Analysis Platforms

There is now an increasing number of sentiment analysis software-as-a-service (SA-SaaS) offerings in the market. Approaches to sentiment analysis and their implementation as SA-SaaS vary, and there really is no sure way of knowing what SA-SaaS uses which approach. For potential users, SA-SaaS products are black boxes. Black boxes, however, can be evaluated using a set of standard input and a comparison of the output. Using a test data set drawn from human annotated samples in existing studies covering sentiment polarity of news headlines, this study compares the performance of selected popular and free (or at least free-to-try) SA-SaaS in terms of the accuracy, precision, recall and specificity of the sentiment classification using the black box testing methodology. SentiStrength, developed at the University of Wolverhampton in the UK, emerged as consistent performer across all metrics.
Knowledge Graphs and interoperability techniques for hybrid-cloud deployment of FaaS applications

Towards enabling the automated and optimized FaaS deployment of applications in a hybrid-cloud setting, the application requirements should be met by comparing them to the capabilities of the available resources of available clusters. To this end, semantic matching between the application characteristics and the individual descriptions of available compute clusters (e.g. from public or private cloud or edge facilities available) is required. In this work, such a system is proposed, namely the Reasoning Framework, which performs semantic matching between application and resource (meta)data and facilitates information sharing among the FaaS platform components leveraging Knowledge Graphs, ontology technologies, and semantic reasoning. The proposed system harvests information from the application function workflow, provided as a graph by the function editor specification (based on Node-RED), including developer-inserted annotations during the design process, and maps them to the dynamic information retrieved from the available clusters. The Reasoning Framework interprets these data as graphs and automatically applies several semantic rules that enable filtering of the available resources and efficient information retrieval through a RESTfull interface. The paper also discusses experimental results to further showcase the advantages of the proposed approach.
To What Extend Are Learning Strategies related to Successful Learners in Writing IELTS in Indonesia

Amongst four skills tested in IELTS, writing IELTS is considered to be one of the most challenging language skills to master. It is believed that writing for second language learners is arguably the strenuous skill to be used in attaining communicative competence. Therefore, discussing learning strategies and good language learners related to IELTS task 2 using four IELTS assessment criteria is still interesting. Considering the significances of all strategies classification, it can be justified those strategies could be very helpful in Writing IELTS Task 2. Particularly, writing IELTS would be significantly improved by using Cognitive, metacognitive, and affective strategies. The reason is that cognitive strategies relate to practicing as the main regular improvement in writing IELTS, Metacognitive strategies connect to planning and brainstorming, and Affective strategies relate to emotional control including anxiety. However, there are some aspects that have to be considered in order to overcome possible problems and strategic limitations. First, there should be explicit instruction and steps from teachers to apply for all of them. Second, Learner should have a capability to distinguish and choose appropriate strategies.
New Insights Into Chaos Based Image Encryption &amp; Its Application

Nowadays the whole world is upgrading with different innovative technologies. We need to resist any attack during data transfer over insecure networks. Random nature &amp; sensitivity to initial conditions in dynamical maps are highly useful to secure cryptography algorithms. In this paper, structure of different chaotic maps have been reviewed, basis of chaos-based image encryption has mentioned. Finally a new encryption scheme has been proposed using tent &amp; logistic map. Performance analysis of proposed scheme has been discussed. Different coupling of chaotic maps, aspects of elliptical curve can be considered for compressed image, video or audio encryption as future work.
Implementasi Jaringan Saraf Tiruan Pengenalan Pola Aksara Batak Simalungun Menggunakan Kohonen Self Organizing Map

The Simalungun Batak script contained in the Batak Letter consists of several variants of forms depending on the language and region, in general there are five variants of the Batak Letter in Sumatra, namely Karo, Toba, Pakpak, Simalungun, Angkola Mandailing. This script is not widely known by the datu, namely people who are respected by the Batak community for mastering magic, fortune-telling, and calendaring so that errors still often occur in the introduction of this script, even though this script can be found in various libraries, namely the traditional books of the Batak community. By utilizing Artificial Neural Networks and using the Kohonen Self Organizing Map method which can be implemented in the Simalungun Batak Letter Recognition Application so that it can make it easier for the public to recognize the Simalungun Batak script. The results of the study that applied an artificial neural network with the kohonen self-organizing map algorithm made the recognition of the Simalungun Batak letter pattern easy for the public to recognize and could also preserve one of the cultures, namely the Simalungun Batak script and make it easier for users to implement it into the android-based application.
Implementasi Metode Analytical Hierarchy Process Pada Sistem Pendukung Keputusan Rekomendasi Ikan Budidaya Berbasis Web

Aquaculture in Asahan Regency still has high potential. The large number of residents who have vacant locations/land, becomes a good potential to be managed. The problem that is often faced is that residents have difficulty in determining the type of fresh or brackish water fish to be cultivated. The Asahan District Government through the Asahan District Fisheries Service has launched a program to increase the production of fresh and brackish water fish. To support this program, residents are expected to be able to take advantage of the potential of existing ponds. Therefore we need a system that can be used to assist the government in determining the types of fish farming that have potential. The purpose of this freshwater fish farming decision support system can provide information about the types of freshwater fish seeds, as well as assist farmers in making decisions about freshwater fish seeds. The research approach uses quantitative methods with program design using the Analytical Hierarchy Process (AHP) method. The results of calculations using pairwise comparison matrices for the use of criteria indicate that the most important priority is shown in the water temperature of 0.39, the second priority is water brightness of 0.41, the third priority is the pH of the water at 0.10, the fourth priority is the type of pond at 0.066, and the fifth priority is The pond area is 0.041. Meanwhile, for alternative uses, data is obtained, namely the weight of the highest value of Fishery Cultivation Potential, namely Rawang Panca Arga with a value of 0.6224, the second alternative is Bandar Pulau with a value of 0.6215 and the third alternative is Bandar Pasir Mandoge with a value of 0.575
Design and Implementation of Student Chat Bot using Machine Learning

Students today are confronted with numerous issues regarding college student information.In a college, there is no effective communication channel for obtaining necessary student information.The automation of web-based communication using computer programming is the primary focus of this paper.A chat bot, or conversational agent that responds to user statements, is created using a computer program.It is able to receive user input in a variety of formats, including speech and text.The appropriate response to the user's query is generated by combining LSA (Latent Semantic Analysis) and AIML (Artificial Intelligence Markup Language).The system will send an automatic ping to the administrator if it cannot locate the appropriate response to the user's query.
From a Seismological Network to a Socio- Seismological One: A Citizen Science Experiment in Haïti to Reduce Seismic Risk: Analysis of a “Small Box” that Can Do a Lot

On January 12, 2010, Haiti was hit by one of the largest seismic disasters known to date. At the time, the culture and perception of seismic risk was low among the population and—because of the lack of seismic sensors in Haiti—so was seismological knowledge. In a citizen seismology approach, the S2RHAI project used low-cost seismic sensors (Raspberry Shake) to (1) complement the national seismic network and (2) to improve risk perception, preparedness, and scientific knowledge of the population. Through these objectives, we introduce a paradigm shift in which seismic networks are not only composed of sensors, but also of citizens who gather around these tools and the information they produce. We present here the results of a qualitative survey of 15 Raspberry Shake (RS) seismometer hosts in Haiti. Semi-structured interviews were conducted to learn about users’ experience to assess their motivations, difficulties, and expectations in this citizen seismology process. We found that RS hosts expressed pride and interest in being part of the RS network and actively contributing to risk reduction in their community. Some of them reported a form of empowerment in that they could compensate for the deficiency of the state, which they generally distrust. However, the RS hosts also expressed the need for more technical and scientific support from scientists. Also, few of them engaged in mediation activities or discussions with their community members, partly because they feared that this would awaken the trauma caused by the earthquake of 12 January, 2010. This allowed us to list concrete actions to (1) improve the seismic information system, (2) better integrate the volunteers into the network, (3) enrich the collaboration between citizens and seismologists, and (4) accompany them in their role as ambassadors to their community. We conclude that understanding the motivations, obstacles, and expectations of volunteers is essential to increase the chances of sustainability of this citizen seismology project.
Afectos y efectos de la pandemia en la educación superior en México Reflexiones desde los estudiantes de la BUAP/UAM-X ante el regreso presencial

Since the pandemic, workers, teachers and students have faced countless adjustments and the gradual return to face-to-face activities. In order to investigate deeply about the experiences of the return to face-to-face classes, we have recovered 60 narrations of students from two public universities in México who elucidate the complexity and effects on modes of subjectivation. The material obtained has been systematized through grounded theory and the analysis was contrasted from the theory of deleuzian affections, as well as theoretical approaches that problematize socialization and sociality in face-to-face classes, its effect on learning processes and the role of the university institution and the school device. The results are presented in four central categories: impressions and opinions about the return to face-to-face classes; the affections and sensations caused by the pandemic and the face-to-face return; the virtual and face-to-face classes; and the hybrid model.
Language creation and engagement

In this chapter, Christine Schreyer describes her role as a language creator for two Hollywood films – Man of Steel (2013) and Alpha (2018). She discusses the process of language creation for each of the films, as well as challenges and opportunities for public engagement with constructed languages. Finally, she provides some tips on the process of language creation that she has uncovered through her own experiences in this field.
CRITICAL SUCCESS FACTORS TO IMPROVE THE PERFORMANCE OF SERVICE OPERATIONS

It is a big controversy that holds up an organizational operations and development to focus on critical success factors. Critical success factors are as important and straightforward as they appear to be. They are the elements that make up a business or project and are crucial to its success and aid in concentration and make sure that teams and departments are collaborated on organizational projects. In order to find the specific improving factors for an organization, this research is focused to investigate, what are that critical factors to improve operations performance to bring wide knowledge for businesses and learners.
Impact of Communicative Language Teaching Method on Students' Speaking and Listening Skills: A Review Article

English language teachers and educators everywhere try to find better language approaches, methods, theories, techniques, and strategies. One way to do that is by implementing the approaches or practices in their classrooms to see which one works, serves more for their students, or has more impact. These communicative language education techniques have been used for many years in many nations. The main goal of the learners is to reach communicative competence; thus, they continuously search for a method or approach that can significantly impact their communicative competence. Hence, teachers and learners try to use different language approaches and techniques to improve the student's language skills, especially their speaking skills. The main aim of this review article is to investigate the impact of communicative language teaching (CLT) by reviewing five reports and some literature reviews. Kasumi's first article, ' Communicative Language Teaching and Its Impact on Students' Performance," was conducted in 2015. The second article is entitled "The effect of using Communicative Language Teaching on Speaking Ability," which Ratih and Hanafi undertook in 2016. The third article is entitled "The Effect of Using Communicative Language Teaching on Developing English Speaking and Listening Skills of Iranian Secondary School Students," which Aalaei conducted in 2017. The fourth article, "The Effect of Communicative Activities on Libyan Secondary School Students' Speaking Performance in Malaysia," was conducted by Owen &amp; Razali in 2018. The fifth article, "The Impact of the Implementation of CLT On Students' Speaking Skills, " was led by Mangaleswaran and Aziz in 2019. The findings of these articles indicated that CLT impacts students' communicative competence, especially speaking and other skills such as listening, reading, and writing. The results show that the sub-skills such as vocabulary, grammar, pronunciation, comprehension, and fluency improve.
A Fully Homomorphic Encryption Scheme for Real-Time Safe Control

Fully Homomorphic Encryption (FHE) has made it possible to perform addition and multiplication operations on encrypted data.Using FHE in control thus has the advantage that control effort for a plant can be calculated remotely without ever decrypting the exchanged information.FHE in its current form is however not practically applicable for real-time control as its computational load is very high compared to traditional encryption methods.In this paper a reformulation of the Gentry FHE scheme is proposed and applied on an FPGA to solve this problem.It is shown that the resulting FHE scheme can be implemented for real-time stabilization of an inverted double pendulum using discrete time control. I. INTRODUCTIONCryptography has allowed for the development of controlsystems, such as hydroelectric dams or energy grids at a regional level or higher, that must be securely monitored and controlled over long distances.Such spatially distributed systems require a remote connection between the plant actuators, sensors and the controller which can only be feasibly secured from intrusion via encryption.Currently, industrial control systems are secured by endto-end encryption, utilising a mix of symmetric-key and public-key encryption schemes [1], [2], [3].These methods are successful in securing low rate communication within large scale control systems.However, they are unsuitable for high sampling frequency feedback-control, as they require multiple encryption and decryption steps.These operations introduce time overhead, reducing the stability margin and possibly de-stabilizing the plant.Furthermore the decryption of data at the controller level means that these methods do not provide security if the controller itself is compromised.Homomorphic encryption (HME) schemes present a solution to these problems.These schemes allow for multiplication and/or addition of encrypted numbers, thus removing the need for decryption and encryption at the controller level.There are two main types of HME: Partially (PHE) and Fully Homomorphic Encryption (FHE).PHE schemes support only multiplication or addition, whereas FHE schemes support both.The first HME scheme was RSA [2], followed by PHE schemes such as EL Gamal [4] and Paillier [5].More recently lattice-based FHE schemes have been introduced in [6], [7], [8].For encrypted control this means these schemes allow for implementation of a broad range of feedback control.However, the high computational complexity of these lattice based schemes prevents them from being used in real-time on conventional hardware.
Self-Training Vision Language BERTs With a Unified Conditional Model

Natural language BERTs are trained with language corpus in a self-supervised manner. Unlike natural language BERTs, vision language BERTs need paired data to train, which restricts the scale of VL-BERT pretraining. We propose a self-training approach that allows training VL-BERTs from unlabeled image data. The proposed method starts with our unified conditional model– a vision language BERT model that can perform zero-shot conditional generation. Given different conditions, the unified conditional model can generate captions, dense captions, and even questions. We use the labeled image data to train a teacher model and use the trained model to generate pseudo captions on unlabeled image data. We then combine the labeled data and pseudo labeled data to train a student model. The process is iterated by putting the student model as a new teacher. By using the proposed self-training approach and only 300k unlabeled extra data, we are able to get competitive or even better performances compared to the models of similar model size trained with 3 million extra image data.