Reviewerly/exHarmony huggingface dataset:
Implementación de una estrategia pedagógica mediante un recurso digital para la enseñanza de la inteligencia emocional en espacios remotos

The present investigative work aims to design, apply and evaluate a pedagogical tool through a virtual e-learning environment for the teaching of emotional intelligence in educational contexts. To do this, the study of a third grade classroom and its teacher on the subject of emotional intelligence is used, using qualitative research instruments such asquestionnaires and interviews to develop and apply a virtual interactive platform that delves into the field of emotions through theory transformed into games such as an imitation of a parquet, relationship of couples, reading of stories, appropriation of characters, among others; and then both the benefit and the usefulness of it are evaluated taking into account the opinion of the participants.With this, it is expected to demonstrate that virtual educational environments can be configured as a highly effective pedagogical tool that allows the construction of knowledge remotely, especially in situations so unexpected and limiting for the educational field, such as a pandemic; provided that teachers succeed in making them motivating learning environments for children.
Estimating Neural Network’s Performance with Bootstrap: a Tutorial

Neural networks present characteristics where the results are strongly dependent on the training data, the weight initialisation, and the hyperparameters chosen. The determination of the distribution of a statistical estimator, as the Mean Squared Error (MSE) or the accuracy, is fundamental to evaluate the performance of a neural network model (NNM). For many machine learning models, as linear regression, it is possible to analytically obtain information as variance or confidence intervals on the results. Neural networks present the difficulty of not being analytically tractable due to their complexity. Therefore, it is impossible to easily estimate distributions of statistical estimators. When estimating the global performance of an NNM by estimating the MSE in a regression problem, for example, it is important to know the variance of the MSE. Bootstrap is one of the most important resampling techniques to estimate averages and variances, between other properties, of statistical estimators. In this tutorial, the application of resampling techniques (including bootstrap) to the evaluation of neural networks’ performance is explained from both a theoretical and practical point of view. The pseudo-code of the algorithms is provided to facilitate their implementation. Computational aspects, as the training time, are discussed, since resampling techniques always require simulations to be run many thousands of times and, therefore, are computationally intensive. A specific version of the bootstrap algorithm is presented that allows the estimation of the distribution of a statistical estimator when dealing with an NNM in a computationally effective way. Finally, algorithms are compared on both synthetically generated and real data to demonstrate their performance.
Big Books: Big, Bold, and Beautiful with Impacts

Some Indonesian elementary schools include English as a local content subject. However, one aspect that is often missing in the process of teaching and learning is supporting teaching media. This is often found in schools based in remote areas, including the one at SD Negeri 6 Tambak Ukir, which is included in this study. The teaching and learning at this school is not fully accommodated because of the unavailability of teaching media. The students are not fortunate enough to afford commercial learning media. The problems worsen with the fact that the teachers have never been professionally prepared and trained to teach English. Such problems lead to meaningless learning. Concerning the issues, we developed five big books to be used by English teachers and students of SD Negeri 6 Tambak Ukir with the aim to provide supplementary learning media for the students, particularly in learning English vocabulary. The research adopted the development model proposed by Gall, Gall, and Borg (2003). There are four simplified stages in this development process: problem analysis, product development, product trials, and product revisions. In the first stage, the researchers planned to develop 10 books, but because of the COVID-19 pandemic situation, only five books (including a manual user) could be developed. The topic covers numbers, colours, alphabets, animals, and the human body. The provision of the books helped the teachers in delivering the topics. The books could also create a new learning experience for the students. Besides, the students also felt that they could get closer to their friends because they could learn together and felt extra motivated. In other words, having been validated and tried out, the books were proven to be valid, effective, and practical. They were valid as they were developed based on strong theories, effective as they can fulfil students’ needs, and practical as they can facilitate both teachers and students during the teaching and learning process. Briefly, the big book can describe itself well. It is big, bold, and beautiful with impacts.&#x0D; Keywords: big book, English teaching medium, research and development, SD Negeri 6 Tambak Ukir
A Syntactic Analysis on Sentences Found in the English Textbook for the Tenth Grade Students Entitled “Bahasa Inggris Kelas X” (2017 revised edition) Published by Ministry of Education and Culture Republic of Indonesia

This study is an analysis of sentence structure by using a syntactic approach that portrayed in the tree diagram. This study focused only on the discussion covering the identification of types of sentence and sentence structure. It was found that there are 191 sentences from the six selected text in the textbook consisting of the simple sentence which has 53 sentences (27,75%), the compound sentence has 79 sentences (41,36%), the complex sentence has 33 sentences (17,27% ) and the compound-complex sentence has 26 sentences (13,61%) from the total number of the data. The finding of the analysis shows that the English textbook has all types of sentences, based on both several clauses and their syntactic properties. A drawing tree diagram is a fundamental skill in the study of syntactic structure; it is a common practice to provide a visual representation of the internal structure of phrase and clause. Tree diagrams are a clear way of representing syntactic structure graphically.
Montague Grammar Induction

We propose a computational model for inducing full-fledged combinatory categorial grammars from behavioral data. This model contrasts with prior computational models of selection in representing syntactic and semantic types as structured (rather than atomic) objects, enabling direct interpretation of the modeling results relative to standard formal frameworks. We investigate the grammar our model induces when fit to a lexicon-scale acceptability judgment dataset – Mega Acceptability – focusing in particular on the types our model assigns to clausal complements and the predicates that select them.
Engineering and characterization of high-dimensional states

The capability to engineer and characterize high dimensional states has become a crucial request in the quantum information field. The quantum walk dynamics proved to be a suitable resource for developing general quantumstate engineering protocols. Here, we experimentally verified the flexibility of an engineering protocol based on a one-dimensional quantum walk in the Orbital Angular Momentum (OAM). Although this degree of freedom has found several applications in the quantum information field, extract the information stored in them appears to be difficult. Therefore, we employ machine learning protocols to classify and characterize particularly structured beams endowed with a not uniform distribution of the polarization on the transverse plane. Moreover, we prove that by modeling the engineering process through a refined model it is possible to improve the performances of measurement techniques such as holographic projection and machine-learning based classification. These results represent a further investigation in the manipulation and detection of OAM modes coupling the photonics platforms with machine-learning protocols.
Identification of New Positive Tuberculosis Cases in Aceh Besar District Using Ordinary Criging

Tuberculosis is a contagious infectious disease caused by Mycobacterium tuberculosis. The risk level of transmission of pulmonary tuberculosis with positive smear of acid-resistant bacteria (BTA). BTA is greater hight risk than pulmonary tuberculosis with negative smear. This study aims to predict areas of the number of new BTA positive tuberculosis cases in Aceh Besar district spatially using the kriging method. The data used are secondary data coordinate the point of the number of new cases of positive smear tuberculosis in each puskesmas in the province of Aceh in 2015-2017. The experimental semivariogram calculation is the first step in estimating using ordinary kriging, which is a reference for getting the parameters to be used in theoretical semivariogram calculations. In this case, the semivariogram suitable for new cases of smear positive tuberculosis is the one of the Spherical model. The sill value used is 126.530, the nugget=62, while the range used is based on the distance of each class = 0.158. The results of the analysis showed that the regions with the lowest positive BTA Tuberculosis prediction cases were around Pulo Aceh Sub-District, Montasik Sub-District, and Indrapuri Sub-District, with less than 15 cases. Whereas the region with the most positive predictions of new cases of BTA Tuberculosis was around Baitussalam Sub-District and Jantho City, with more than 30 cases.
PENINGKATAN KETERAMPILAN MENULIS CERITA PENDEK DENGAN COOPERATIVE LEARING PADA SISWA KELAS XI IPA 1 SMAN 3 METRO

Write to teach students XI IPA 1 SMAN 3 Metro to short story. Rearange short story students reveal environments form see, listen, and felt. Write short story by topic ;see, listen, be kissed, be sampled, and felts. Research purpose: implimcation of method cooperative learning to students XI IPA 1 to write short story. Research method :observation, documents, and interview. Techniqe of data tes and non tes. Analysis data be analysis data, prepared data, and conclusions. The result: pracyclus 198, cyclus I 262, increased 64%, achievement learning pracyclus 53, cyclus I 69, increaswd 16%. Cyclus II write skill short story 295, increased 32%, achievement learning 79, increased 10%. Cyclus III write skill short story 308, increased 14%, and achievement learning 88, increased 9%. Conclusion: Cooperative learning of method to increased students XI IPA 3 SMAN 3 Metro write short story.
#ifdef Directives and Program Comprehension: The Dilemma between Correctness and Preference.

Many organizations and open-source projects use the C preprocessor (CPP) to implement configurability in their software systems. Despite extensive research, existing studies on the effects of CPP use on program comprehension are still limited to experiences, opinions, and empirical studies with narrow scopes. So, it is unclear whether the CPP actually leads to what is sometimes referred to as #ifdef hell. In this paper, we expand the existing evidence on program comprehension in the presence of CPP directives, but we also highlight a surprising dilemma. We conducted an empirical study, including an experiment and a questionnaire, on the impact of refactoring CPP directives with 521 experienced software developers. The results indicate that, in contrast to previous findings, comprehension performance slightly worsened in terms of correctness when our participants worked on code with refactored CPP directives. However, in alignment with previous findings, they preferred the refactored code, considering it more comprehensible and easier to work with. This dilemma of objective performance versus subjective preference is a surprising outcome that has not been found before. We argue that our work motivates the need for more studies to understand this dilemma—which may significantly impact common beliefs in research and practice.
A Modification of the Leacock-Chodorow Measure of the Semantic Relatedness of Concepts

The measures of the semantic relatedness of concepts can be categorised into two types: knowledge‑based methods and corpus‑based methods. Knowledge‑based techniques make use of man‑created dictionaries, thesauruses and other artefacts as a source of knowledge. Corpus‑based techniques assess the semantic similarity of two concepts making use of large corpora of text documents. Some researchers claim that knowledge‑based measures outperform corpus‑based ones, but it is much more important to observe that the latter ones are heavily corpus dependent. In this article, we propose to modify the best WordNet‑based method of assessing semantic relatedness, i.e. the Leacock‑Chodorow measure. This measure has proven to be the best in several studies and has a very simple formula. We asses our proposal on the basis of two popular benchmark sets of pairs of concepts, i.e. the Ruben‑Goodenough set of 65 pairs of concepts and the Fickelstein set of 353 pairs of terms. The results prove that our proposal outperforms the traditional Leacock‑Chodorow measure.
PENERAPAN FUZZY ANALYTIC NETWORK PROCESS (FANP) UNTUK PENENTUAN PRIORITAS KRITERIA PADA PEMILIHAN MAHASISWA BERPRESTASI DI UNESA

The selection of outstanding students needs to be done at each university, so that the potential possessed by students in the form of hard skills and soft skills can be increased and the achievements obtained are better. Hard skills and soft skills can be developed by the students participate in various activities that have been made by the department, faculty, and campus. Outstanding students mentioned in this regard should have a good performance in academic and non academic. In the Achievement Student Selection (Pilmapres) there are several criteria that must be met. To determine the priority criteria that influence in this Pilmapres it is necessary to calculate the weight of each criterion. In this study the Fuzzy Analytic Network Process (FANP) method is used. Fuzzy Analytic Network Process (FANP) method is a combination of fuzzy method and Analytic Network Process (ANP) method. By using the FANP method it can be seen that the criteria which are very influential are the criteria for the achievement of field competition where the weight is 22%, the award rate criteria is 17,9%, the weighting criteria for the superior performance results is 14,1%, the weighting criteria for the superior performance award is 11,9%, the weighting of the role criteria in the superior achievements was 11,6%, the weighting of the registrant identity criteria was 10,9%, and the weighting of the career criteria in the organization was 7,6%. For the sub-criteria that influence in the Pilmapres, among others, are innovative findings which have a weight of 27,6%, a work subcriteria 26,9% and a product subcriteria 25,6%.
Penerapan Advance Encryption Standart dalam Pengamanan Elektronik Voting

E-Voting is an election that uses information technology facilities as well as electronic devices where part or all of the process is done digitally. The electoral process by means of E-voting can help the counting process faster and costs less than the conventional electoral process. However, this electronic-based election is prone to manipulation, therefore it requires protection of the system. In this study, AES and CSRF algorithms were implemented to increase security in the E-Voting application. The election is limited to the election of the executive mayor / regent. This study uses Acunetix software to test the level of security. In testing, four versions of the website were made, namely: the website without AES and CSRF, the website only with AES, the website only CSRF and the website using AES and CSRF. The test results on the website with AES and CSRF show a satisfactory increase in security, only one medium level application vulnerability warning and two low level application vulnerability warnings. Test results with Acunetix on websites without AES and CSRF received seven medium warnings and eleven low warnings. The CSRF test results only get two low warnings but the number of data scans is only a few. The AES test results only get four medium warnings and one warning. Thus, the application of the AES algorithm can increase the level of security of the E-Voting system
LibGuides: Open Access : Finding OA Materials

The purpose of this guide to help students at Independent College Dublin understand what Open Access is, how it is changing the way we publish and consume knowledge, and where they might find Open Access resources related to their subject.
INFLUENCE OF ANDROID-BASED ROLE PLAYING LEARNING MODEL TOWARD STUDENTS’ MOTIVATION IN SPEAKING SKILL

This study aims to analyze the influence of Android-based role playing learning models towards students' motivation in speaking skills. This study used a quasi-experimental method with the Nonequivalent Control Group Design. The sample of this study consisted of two classes. The research instrument used tests and questionnaires. Based on the results of the average value of the experimental class pretest class is 59.25 and posttest is 72.95 has increased by 13.70 while the average value of the pre-test control class is 68.3 and post-test is&#x0D; 58.75 experienced a decrease of 9.55. The average questionnaire result data was 89.5 and it was concluded that there were differences in student motivation before and after learning with Android-based role playing models. Learning using Android-based has an influence on learning motivation of students in class X TKJ by 53% with the results of t-table &gt; t-count (5.35 &gt; 2.06), then the hypothesis is accepted. At the end of this study, it is hoped that learning based on Android can be used as an alternative in learning speaking skills
What is the Security Mindset? Can it be Developed?

With the proliferation of information technology (IT) in the world, information security has become an important objective. In a networked IT world where transactions are conducted through extensive use of the internet, cybersecurity has become integral with information security. Security is one of the most exciting computing fields [1], since it has something that no other computer science field has, an adversary. The same element also makes it one of the most challenging fields because of the unpredictability and the creativity/imagination required. The dearth of faculty who can teach the theory and practice of security is a serious impediment to offering formal education in this domain. While virtual world environments, game-based learning, cyberwars, and other learning-focused interactions have the potential to introduce security concepts and thinking skills in an engaging way to students and professionals, there is also a need to inculcate a 'security mindset,' [1]. This session will explore the concept of the security mindset including what it is, what tools security educators need to help inculcate it, and how it can be developed and/or taught in the spirit of 'training the trainers.' 1Rakesh M. Verma, Ray Parthasarathy, and Lila Ghemri. 2020. Web page for the SIGCSE 2021 BOF Session. http://www2.cs.uh.edu/~rmverma/bof.html.
Knowledge-Driven Conversation for Social Robots: Exploring Crowdsourcing Mechanisms for Improving the System Capabilities.

Social robots and artificial agents should be able to interact with the user in the most natural way possible. This work describes the basic principles of a conversation system designed for social robots and artificial agents, which relies on knowledge encoded in the form of an Ontology. Given the knowledge-driven approach, the possibility of expanding the Ontology in run-time, during the verbal interaction with the users is of the utmost importance: this paper also deals with the implementation of a system for the run-time expansion of the knowledge base, thanks to a crowdsourcing approach.
The Effectiveness of Improving the Understanding of Indonesian Students Department of Indonesian Literature of Andalas University Through the Language Card Playing Method

The Penyuntingan course is a course that practices the Bahasa skills of students in editing scientific texts according to Bahasa rules.However, the proficiency of students of the Indonesian Literature Department, Andalas University, has still not achieved these learning objectives.In the Penyuntingan I course, a language card game method was prepared so that the students could understand the editing rules stated in Law No. 50 of 2015 which is Pedoman Umum Ejaan Bahasa Indonesia (PUEBI) and Kamus Besar Bahasa Indonesia (KBBI).The students are formed into the small groups, then they are asked to make 154 language cards which are the application of 154 PUEBI materials.After that, one playing method is chosen, such as playing cards, uno card games, monopoly games, or snakes and ladders to play the language cards.The results showed that the language card playing method was effectively implemented as a learning method for Penyuntingan I courses.Through this method, the students could understand 154 Indonesian rules in Pedoman Umum Ejaan Bahasa Indonesia (PUEBI).
The Multidimensional Organization of Speech

Much of our understanding of linguistic structure was necessarily first built up on the basis of isolated sentences, either constructed by analysts or speakers consulting their intuitions, or from written documents. The availability of corpora of unscripted speech is now allowing us to see what speakers actually do, opening up vast new areas for exploration. Some of the advantages described here are the access to prosody and context. The question addressed is how closely traditional syntactic structures, particularly constituent structures, are matched by prosodic structures. Points are illustrated with corpus material from Mohawk, a language indigenous to the North American Northeast.
Keyword Search for Sign Language using Machine Translation

Sign language, the main mode of communication for the Deaf, is different from the written language in terms of both vocabulary and grammar. Lacking a proper written form, information retrieval from this visual language is a challenging task. Keyword search for sign language will benefit greatly from the use of written language text queries by (i) creating a middle ground for information retrieval, (ii) enabling the people outside of the Deaf community to learn sign language and (iii) making vast amount of parallel corpora between sign language and the written language available for research. In this work, we propose a cross-lingual keyword search paradigm for sign language based on neural machine translation, and analyze the effects of different decoding strategies on retrieval performance.
Election Security: Security for Whom?

Good elections are secure elections—but what does that mean? Does it mean that election processes help eligible people vote, while thwarting anyone else? Does it mean accurate vote tabulation—and being able to prove that the counting was done right? Does it mean keeping voters safe at the polls? Does it mean giving the voting public a sense of security in a time of disinformation and misinformation? Yes, yes, yes, and yes. Learn from national elections experts about cybersecurity, election validation and audits, healthy polling places and communicating about security.Panelists:Wendy Underhill, Director for Elections and Redistricting, National Council of State LegislaturesMatt Masterson, Senior Cybersecurity Advisor, Department of Homeland SecurityJennifer Morrell, Director of Elections Validation Project, the Democracy FundMaurice Turner, Internet Architecture Project, Center for Democracy and Technology