Reviewerly/exHarmony huggingface dataset:
Language Learning Strategies in English Language Learning: A Survey Study

Strategic competence involves a number of learning and communication strategies which can be learned by language learners. These behaviors and thinking process can help second language learners to accelerate their target language learning. Teachers’ knowledge on these strategies will help language learners in overcoming the problems of their learning process. This survey study aims to describe students’ profile of strategic competence by mapping their language learning strategies. The participants were 106 students of Department of English Language Education in academic year 2014/2015. The instrument used was Oxford’s (1989) Strategy Inventory for Language Learning (SILL) Worksheet, Version 7.0 for Speakers of Other Languages Learning English. Students’ profile of strategic competence in academic year 2014/2015 is: memory strategy (3.20), affective strategy (3.38), cognitive strategy (3.45), compensation strategy (3.46), social strategy (3.46), and metacognitive strategy (3.63). Therefore, the only strategy who has achieved high profile is metacognitive strategy (3.63). The other strategies are still on medium profile, which means all the students sometimes use the strategies. For the whole SILL strategies, students of Department of English Language Education, Universitas Islam Indonesia in academic year 2014/2015 get mean score 3.43, which also means on medium profile of strategic competence. From the result, it is recommended that the students need to develop the other five strategies from medium to high profile. Keywords: strategic competence, language learning strategies, survey study
Runtime Performance Benchmarking for NoSQL Databases

An experimental study regarding the performance of NoSQL&nbsp;database management systems is presented in this paper. In this study,&nbsp;two NoSQL database management systems (MongoDB and Cassandra)&nbsp;were compared, and the following factors were considered: degree of parallelism and workload. Two distinct workloads (mostly read and update&nbsp;heavy) were used, and various numbers of client threads. The measured&nbsp;results refer to total runtime and they confirm that MongoDB outperforms&nbsp;Cassandra in almost all tests considered.
Didactic Strategy for Learning and Teaching of Functional Groups in High School Chemistry

With the aim of improving the teaching and learning of chemistry functional groups, a didactic strategy was designed based on real-life situations. This strategy was used at the high school level, in the subject of “Chemistry II.” One group of students was taught functional groups using interactive board software through different dynamics (experimental group), and another group was taught traditionally (control group). Learning was evaluated through a series of questions, exercise solving, and scientific problems. Results indicate that the group of students in which the interactive board software was used achieved higher learning levels in comparison to the control group, which was traditionally taught.
Technologies for attention to diversity: a bibliometric study

In these last decades, digital systems and playful dynamics have penetrated the inclusive education field, in some cases to attend the diversity of the classroom as a whole and, in others, to study in a specific way the use of technologies in students with special needs. About this topic, on the following pages we study the trends of the research carried out through a bibliometric analysis of the scientific production in the Scopus database, which includes an amount of 59 articles, published between 1999 and 2019, are included. The results indicate an increase in the last years of the presence of scientific publications in journals in the field of Social Sciences. Furthermore, data show that the number of articles and the impact of these is scarce, that the predominant country in the publications is United States and that in the cooccurrence of the terms the agents involved in the process, technology and inclusive practices stand out as relevant issues, which implies the urgent need for digital teacher training.
Overview and practical implementation of fuzzy search algorithms

Fuzzy search and approximate search algorithms were reviewed in this article.All the fundamental definitions, that helping to better understand the concept of fuzzy search are noted below.Also was shown how to practically implement them to set up a work flow for mobile network operator.Program that have been shown in the implementation, now available via github linkhttps://github.com/JackMor/HKTgit.This program have been written by computer programmers team called "Infinite Capacity" on 2018 hackathon for Megafon, that have been placed in The library of Novosibirsk State Technical University .Wide spectrum of technology was used to create this program: JavaScript(NodeJS) for server and also fuzzy search was implemented with elasticsearch(JS framework), PostgreSQL for database management, VK BOT API and TG BOT API for the social media interaction.For better understanding of approximate search provided formal and schematic representations of the algorithm.Also you can find pseudocode explanation of Needleman-Wunsch algorithm below.Damerau-Levenshtein distance presented with the exact example of string approximate coparison.References are containing full guide to elasticsearch framework user, that might help to understand the conception of fuzzy search too.In the end of the article you can find a conclusion with the analysis of the future for approximate search algorithms.
Cognitive Modeling Approach for Dealing with Challenges in Cyber-Physical Systems

In this paper, inspired by our previous works, we propose an&nbsp;architecture for the design and realization of cyber-physical systems (CPS)&nbsp;that considers the spatio-temporal context of events, promotes anomaly detection, facilitates efficient human-computer interaction and is capable of&nbsp;discovering novel human and/or machine knowledge. We view deep neural&nbsp;networks as smart sensors and sensory data from the environment represents the semantic and episodic input to a consistency seeking component&nbsp;of the cyber-space. Starting from a knowledge base infused with a deterministic world assumption, this module can detect anomalies and correct&nbsp;estimation errors by combining the outputs of multiple sensors. We also exploit an episodic description of ongoing situations by integrating temporal&nbsp;segmentation with kernel and low-dimensional embedding based methods.&nbsp;We demonstrate parts of the architecture through illustrative examples on&nbsp;our self-collected driving dataset. Our framework can be related to cognitive science foundations and may facilitate reliable functioning of CPS&nbsp;through integrating traditional AI and deep learning methods with deterministic models and reasoning tools. We expect that such knowledge base&nbsp;and cognition driven approaches of joining deep neural networks will be&nbsp;adopted in complex CPS. This looks like a scalable, and beneficial match&nbsp;between human knowledge and the exploding deep learning technologies.
Observations over SPROBES Mechanism on the TrustZone Architecture

In this paper we try to reproduce the results described in the paper "SPROBES: Enforcing Kernel Code Integrity on the TrustZone Architecture" [1]. The implementation revolves around the idea of protecting the operating system against rootkits with minimum overhead. This is described as an introspection mechanism implemented through TrustZone Secure Monitor Calls (SMC) and handled in secure world. It can instrument any operating system instruction. Since the challenge with this implementation was to avoid being removed by a rootkit, five invariants were enforced and considered to be enough to protect the operating system. This implementation was done on a Linux kernel 2.6.38 and used only 12 such SPROBES. As the original article was written the ARM market is expanding further and further with TrustZone extension now available even on the M series cortex systems. In addition to smartphones as described in previous article, the TrustZone extension is found in a lot of IoT device, such as RaspberryPi and in high-end devices. We try to reimplement the above-mentioned work on a new 4.9 Linux kernel and latest arm-trusted-firmware implementation for a reference ARM 64 hardware in order to identify if it could prove a viable software solution Also we provide feedback and observations for this whole process.
Prefix And Suffix Analysis In Relation With Students English Ability

This thesis was about the students’ ability in using prefix and suffix. The purpose of this research was to know how far is the students’ abilities in using prefix and suffix. This research was conducted at the first semester of twelfth grade of SMK BLK Bandar Lampung in 2018/2019 academic year. The type of this research was descriptive quantitative research. The subject of this research was 205 students of twelfth grade in 8 classes. The data of this research was obtained by using test. The researcher analyzed the data by giving score the students’ test, determining the students’ ability classification, and calculating the frequency’s percentage and the average of students’ score, so the students’ ability in using prefix and suffix could be known. Based on the result of the research, the percentage of students’ ability in using prefix and suffix of excellent level students’ score was 3.90% or 8 students, good level students’ score was 17.56% or 36 students, fair level students’ score was 13.17% or 27 students, low level students’ score was 11.22% or 23 students, and failed students’ score was 54.15% or 111 students. The majority of correct prefix was inter- by 172 items, and the majority of correct suffixes were -ment and -ion by 139 items. Moreover, the majority of correct part of speech used in test was verb. In conclusion, the average of students’ ability in using prefix and suffix at the first semester of twelfth grade of SMK BLK Bandar Lampung in 2018/2019 academic year was 46.67. So, it was categorized into low level
TueFact at SemEval 2019 Task 8: Fact checking in community question answering forums: context matters

The SemEval 2019 Task 8 on Fact-Checking in community question answering forums aimed to classify questions into categories and verify the correctness of answers given on the QatarLiving public forum.The task was divided into two subtasks: the first classifying the question, the second the answers.The Tue-Fact system described in this paper used different approaches for the two subtasks.Subtask A makes use of word vectors based on a bagof-word-ngram model using up to trigrams.Predictions are done using multi-class logistic regression.The official SemEval result lists an accuracy of 0.60.Subtask B uses vectorized character n-grams up to trigrams instead.Predictions are done using a LSTM model and achieved an accuracy of 0.53 on the final Se-mEval Task 8 evaluation set.In a comparison of contextual inputs to subtask B, it was determined that more contextual data improved results, but only up to a point.
Digital Preservation of Cultural Heritage: Terengganu Brassware Craft Knowledge Base

Early exposure to cultural heritage is necessary to preserve it from extinction.One form of cultural heritage that is now on the brink of extinction is the Terengganu brassware craft.Current young generations are mostly not interested in this heritage.Furthermore, intangible heritage in the form of knowledge and skills are only stored in the memory of the practitioners.Lack of documentation has led to the sole reliance on practitioners such that the knowledge is lost upon their demise.Hence, intangible heritage knowledge has to be acquired and stored in a knowledge base system to keep them in a systematic and permanent form.Manipulating and transferring the knowledge and skills will also ensure the continuity of this heritage, and ensure it can be accessed by future generations.This paper discusses the development of the knowledge base of Terengganu Brassware Craft as a digital preservation of cultural heritage.Knowledge acquisition was carried out using interview and observation techniques.Then, the knowledge is represented using ontology.This knowledge, in digital form, can be manipulated and disseminated to the community to ensure the continuity of the knowledge.
Stepping OCaml

Steppers, which display all the reduction steps of a given program, are a novice-friendly tool for understanding program behavior.Unfortunately, steppers are not as popular as they ought to be; indeed, the tool is only available in the pedagogical languages of the DrRacket programming environment.We present a stepper for a practical fragment of OCaml.Similarly to the DrRacket stepper, we keep track of evaluation contexts in order to reconstruct the whole program at each reduction step.The difference is that we support effectful constructs, such as exception handling and printing primitives, allowing the stepper to assist a wider range of users.In this paper, we describe the implementation of the stepper, share the feedback from our students, and show an attempt at assessing the educational impact of our stepper.
Efficient Route Recommendation System Based On Keyword Using Candidate Route Generation And Travel Route Exploration

Social media like Facebook and Flicker are most popular in these days, so that sharing of images and visited records by users can be easy.The system aim to make an easy trip planning based upon travel history of users records.Users have their own views, requirements and preferences for their planning trips.So that here introducing text description as keywords instead of limited queries.Also different set of travel route recommendations are needed.Large amount of recorded data mining and ranked preferences are the main expanded version of already existing system to get an automatic system.Therefore, proposing an Efficient Travel Route Recommendation System Based On Keyword that uses data from users trip and travelling records.So in this system for the classification of places of interests uses a keyword extraction module, for accurate and matching with query keywords.An algorithm called route reconstruction is developed to make route of candidate preferences.To get the results, the system used Skyline routing concepts.And for the verification of genuinity of rated locations here introducing NER method.
Safeguarding Malaysian Folktale Through Adventure Game

Folktale is part of people's culture and heritage that represents the identity of a society.Malaysia is prosperous with folktale, which is traditionally diffused verbally from generation to generation.Inopportunely, this heritage is slowly being forgotten by the younger generations especially by teenagers.The study aims to safeguard local folktale through an adventure game made for teenagers.In the context of the study, Bawang Putih Bawang Merah was selected.The study seeks to discover the adventure game's elements from the game guideline and from the user (teenagers).Once found, it is a question of how both the elements can be employed to design and develop the folktale adventure game branded as Orkid Emas in the study.Based on the definitive version of the game, it is a question of obtaining the teenagers' feedback about the game's design and development and safeguarding aspects.The methods employed in the study are the formal and semi-structured interview, document analysis, flowboarding and prototyping.The results of the study show that both the elements of the adventure game from the guidelines and users were ascertained.The Orkid Emas adventure game was successfully designed and developed using the combination of the elements.At large, positive feedback was obtained from select representing teenagers regarding the Orkid Emas' design and development, and folktale safeguarding aspects.
Towards cross-platform interoperability for machine-assisted text annotation

In this paper, we investigate cross-platform interoperability for natural language processing (NLP) and, in particular, annotation of textual resources, with an eye toward identifying the design elements of annotation models and processes that are particularly problematic for, or amenable to, enabling seamless communication across different platforms. The study is conducted in the context of a specific annotation methodology, namely machine-assisted interactive annotation (also known as human-in-the-loop annotation). This methodology requires the ability to freely combine resources from different document repositories, access a wide array of NLP tools that automatically annotate corpora for various linguistic phenomena, and use a sophisticated annotation editor that enables interactive manual annotation coupled with on-the-fly machine learning. We consider three independently developed platforms, each of which utilizes a different model for representing annotations over text, and each of which performs a different role in the process. Keywords: annotation software, biomedical text mining, interoperability
Hybrid Model for Cross Project Fault Prediction Using Random Forests and Multi-Objective Ant Lion Optimization

In software development, the software fault is dealing an important task.The faults presence is not reduce the software quality and increase the cost development.The software system has the prediction in the cross project for the software system, the large number of models is presented.The task of fault prediction is difficult because most of them provide the information as inadequate.The proposed method of this paper is hybrid model for predicting the cross project faults using the random forest (RF) technique and multi-objective Ant Lion optimization (MO-ALO) approach in the given software system.By using the eight software projects, the data in PROMISE data repository is used for the experimental results have been done.The performance evaluation of the method is evaluated with the existing techniques which are Support Vector Machine (SVM), RF and the K-nearest Neighbor (KNN).The results for the number of cross project faults prediction shown in the RF and MOALO based model.
Experimental Study on Neural Feedback in Embedded System Teaching Processing Based on ERP Signal Analysis

Embedded system teaching is an indispensable part in the process of computer language learning. This paper analyzes the neural feedback of embedded system learners in learning embedded systems by observing the generation and fluctua-tion of EEG signals. The ERP signals of computer learners in learning embedded system are monitored by ERP technology. The results show that the embedded system leads to the changes in EEG of computer linguists, and the changes of EEG amplitudes caused by different embedded systems. Combined with previous studies, it is shown that the embedded system processing has different effects on neural feedback. The analysis of EEG signals provides some theoretical basis and new ideas for embedded system teaching.
DISTANCE LEARNING: UKRAINE AND THE WORLD

Distance learning is one of the key means of modern education. It is especially useful in the system of higher education and the improvement of professional skills. Nowadays distance learning is widely popularized in both developed and developing countries of the world. As a result of the rapid development of telecommunication systems now distance education is widely used not only in higher education but also in school education of foreign countries practically in all regions of the world. It is the best way to ensure open education, pliability and an international character of education, the ability to learn throughout life that is very important in the rapidly changing current world. The possibilities of distance learning are effectively used by developing countries for the rapid development of their own education system, which is one of the key principles for the economic successes, and hence the growth of people's wellbeing. The technological basis for the development of distance education in Ukraine began to form in the late '90s of the last century, but yet this teaching-learning system has not developed. Now only 7 universities of the country propose the distance educational services, and in the rest of universities, only some teachers use separate elements of distance teaching. In Ukrainian schools, distance learning is practiced only for pupils who cannot attend lessons for various reasons. Undoubtedly distance learning form should be used as one of the key principles to realize successful reform of Ukrainian education. In that case, it is necessary to use the experience of introducing distance education technology in developing countries, because Ukraine is still such a country.
WONDERFUL OR AWFUL? STUDENT-TEACHERS’ CLASSROOM MANAGEMENT EXPERIENCES IN PRACTICUM TEACHING

This study is aimed at probing the strengths and weaknesses of classroom management experienced by student teachers at Department of English Language Education, UIN Ar-Raniry during the internship program at designated schools. Data collection was based on qualitative semi-structured interview with 8 student teachers chosen by purposive sampling from the 250 fourth student teachers at the English Language Education Department in 2017/2018 academic year. The findings of the current study indicated that group discussion method applied in the classroom enable more efficient classroom management. On the other hand, it is found that student teachers still experienced great deal of anxiety in managing the classroom. This may cause serious problems when facing real classroom management following their graduation as real teachers.
PERBEDAAN EDUKASI KONSUMSI SAYUR DAN BUAH PADA ANAK SD MENGGUNAKAN METODE CERAMAH DENGAN ALAT PERAGA DAN MEDIA AUDIOVISUAL

The consumption of fruit and vegetables for children are quite less in Yogyakarta, it is around 93,6 percent Another effort to increase the consumption of vegetables and fruits are rising knowledge and attitude by health promotion with education methods used props and audiovisual media. This research was conducted to know the difference between lecture method with props and audiovisual media for children knowledge and attitude about the consumption of vegetables and fruits.This study was an experimental quasi study with a control group design of pretest and post test non-equivalent. The sampling research used purposive sampling with 55 students of 5 elementary grade. The test were use unpaired T tests.The result are shown that there was no different between lecturer methods with props and audiovisual media to children knowledge (p=0,073) and attitude (p=0,492) about consumed vegetable an fruits.