Reviewerly/exHarmony huggingface dataset:
The Uncertainty of Counterfactuals in Deep Learning

Counterfactuals have become a useful tool for explainable Artificial Intelligence (XAI). Counterfactuals provide various perturbations to a data instance to yield an alternate classification from a machine learning model. Several algorithms have been designed to generate counterfactuals using deep neural networks; however, despite their growing use in many mission-critical fields, there has been no investigation to date as to the epistemic uncertainty of generated counterfactuals. This could result in the use of risk-prone explanations in these fields. In this work, we use several data sets to compare the epistemic uncertainty of original instances to that of counterfactuals generated from those instances. As part of our analysis, we also measure the extent to which counterfactuals can be considered anomalies in those data sets. We find that counterfactual uncertainty is higher in three of the four datasets tested. Moreover, our experiments suggest a possible connection between reconstruction error using a deep autoencoder and the difference in epistemic uncertainty between training data and counterfactuals generated from that training data for a deep neural network.
Error Analysis of College Students’ English Application Letters at STMIK Sinar Nusantara

AbstractWriting as one of language aspects becomes the main language practice in each English class. Regarding to the college student task, writing English job application letter requires college students to provide the well-formed letter for job preparation. Therefore, understanding the errors of English sentence structure in college students’ job application letters can bring the suitable English grammar study for writing the formal letter. This research was conducted to find the errors on English job application letters written by college students in fourth semester at STMIK Sinar Nusantara. The respondents were selected as many as 30 students by using purposive random sampling technique. The collected data were taken from the respondents’ writings, English job application letter. The analysis used the algorithm of conducting error analysis proposed by Corder. In this research, students’ job application letters indicate omission with its 92 data or 35,35 % error, mis-formation with its 80 data or 30,80% error, mis-ordering with its 63 data or 24,23% error, and addition with its 25 data or 9,62% error. This research indicates that though the students had references of English job application letters from internet, they still had errors in writing own English sentences in formal form. Keywords: Error Analysis, English Error Analysis, English Application Letters, Job Application Letters, English Formal Letters
Study of Knowledge, Attitude and Practice of citizen of Isfahan towards Using Electronic Services during the Corona Outbreak (COVID-19)

Study of Knowledge, Attitude and Practice of citizen of Isfahan towards Using Electronic Services during the Corona Outbreak (COVID-19)
Implementation of Graph Embedding Algorithms in Node Classification for Wiki

As wiki data integration has become one of the most popular and freely available data sources on the Internet, more and more domestic and foreign researchers are studying and analyzing wiki data in-depth, However, when classifying nodes in wiki data sets, we encountered poor relevance of node classification, which led to the problem of reduced data quality, accuracy, and reliability.In response to existing problems, we propose to use graph embedding related algorithms to classify wiki data sets.To improve the accuracy of the classification task, we have implemented Deepwalk (Deep Walk Random Algorithm), Node2vec, and SDNE (Structural Deep Network Embedding) The algorithm is tested on the wiki data set.The final experimental results show that the Graph Embedding algorithm has a good effect on the node classification of graph structure data, and the SDNE algorithm is the best inaccurate.
Upaya meningkatkan pemahaman dan hasil belajar siswa terhadap unsur-unsur cerita/dongeng melalui media audio visual pada siswa kelas IV di SD Negeri I Mipiran

This research was conducted to improve understanding and student learning outcomes through classroom action research using audio-visual media. This research was conducted in class IV SD Negeri 1 Mipiran with a total of 22 students consisting of 11 male students and 11 female students. This study aims to use audio-visual media in Indonesian language learning, as an effort to improve students' understanding and learning outcomes about the elements of stories/fairy tales. This research is focused on utilizing the use of audio-visual media in learning with the hope that students will be more active in participating in learning so that understanding and student learning outcomes will increase. In addition, to improve teacher performance to be more professional in managing, so as to produce more interesting and meaningful learning. The results showed an increase in both learning outcomes and student activeness in learning. Student learning outcomes showed an increase as follows: Before the improvement of the class average score of 62.5 and after the improvement had increased to 69, the class average increased by 6.5. Then it rose again to 76.8 with the class average score increased by 7.8. So it can be concluded that learning Indonesian about the elements of fairy tales through the use of audio-visual media can improve student understanding and learning outcomes.
TEACHING VOCABULARY THROUGH THE CONCEPT ATTAIMENT MODEL AT SMP IT ANNAJIYAH LUBUKLINGGAU

ABSTRACT The problem of this research was “is it significantly effective to teach vocabulary through the Concept Attainment Model (CAM) at SMP IT Annajiyah Lubuklinggau in academic year 2019/2020?” The objective of this research was to find out whether or not it is significantly effective to teach vocabulary through the Concept Attainment Model (CAM) at SMP IT Annajiyah Lubuklinggau in academic year 2019/2020. The population of this research was all of the seventh grades consist of 43 students of SMP IT Annajiyah Lubuklinggau in academic year 2019/2020 and total number of sample was 18 students from VIII.A. The sample in this research was taken through cluster random sampling. In this research, the researcher used pre-experimental method. In collecting the data, the researcher used written test. In analyzing the data, the researcher used three techniques. They were: individual score, normality test and matched t-test. Based on the result of the data analysis, the researcher found out that the students’ average score was 59.166 in the pre-test and it increased in the post-test which score was 78.888. The result of matched t-test was 7.498, while ttable was 1.734. It means that the null hypothesis (Ho) was rejected and the alternative hypothesis (Ha) was accepted. Furthermore, it was significantly effective to teach vocabulary through the Concept Attainment Model (CAM) at SMP IT Annajiyah Lubuklinggau in academic year 2019/2020.
PROOFREADING CHALLENGES IN THE ENGLISH TRANSLATION OF ACADEMIC ABSTRACTS AND ARTICLES

The world of contemporary science demands from every respected researcher to publish their findings in international databases, whose metrics have become a measure for the popularity and influence of scholarly journals. Hardly is it possible to build a successful academic career without publications indexed in Scopus and Web of Science. As part of the requirements, authors are supposed to provide abstracts of their materials in English or even translate their articles in languages that are not their native. Such a situation poses a challenge to both authors and technical editors of Bulgarian academic journals as they are expected to proofread highly specific translated texts in a language that is not their native. More often than not, those editors have neither the source text to rely on, nor the broader context of the study in cases when the articles have been written in foreign languages and thus they face a number of translation challenges. The present study focuses on some difficulties that regularly occur in the process of proofreading the English translation of academic abstracts and articles, such as ambiguity, translation of titles of literary works, and interference from the native language. The basic aim is to analyze those problems from the perspective of translation studies and eventually suggest some possible ways of coping with them.
Bajo’s Philosophical Interpretation Toward The Cruising Accuracy Of Cultural Studies Throught The Role Of Language

This research article aimed to find out the Bajo's philosophical interpretation toward the cruising accuracy of cultural studies through the role of language.This research used qualitative research methods through an interpretive and constructive paradigm that viewed social reality as an interactive relationship (reciprocal).The analysis was carried out by perspective.So that it depended on the quality of observation and meaning, to reveal something behind the reciprocal phenomena of language in the life of the Bajo ethnic (especially Bajo ethnic in Katela Island) and its rituals.This research found that there are two reciprocal roles of language that are interpreted philosophically through the cruising of cultural studies, namely the role of instrumental and the role of material.In its role as an instrument, language can be in the form of linguistic phenomena that support individual behavior characterized by the emergence of understanding in interaction.The data shows, that linguistic reference can reveal the potential for infrastructure that builds the identity and ideology of ethnic Bajo Linguistic, in its position as a scientific discipline, plays an important role in creating a new grammatical context in determining language as an instrument of identification for a community, because there is no communicative movement of linguistic logic if language is not born as a marker.Meanwhile as the material role, language is tied to sign and symbols in which its convention of meaning laid on the function.Reciprocally it is assumed that the geographic location of Katela Island supports the theological and teleological ideas of the Bajo people who inhabit it.
ghostwriter19 @ ATE_ABSITA: Zero-Shot and ONNX to speed up BERT on sentiment analysis tasks at EVALITA 2020

With the arrival of BERT1 in 2018, NLP research has taken a significant step forward. However, the necessary computing power has grown accordingly. Various distillation and optimization systems have been adopted but are costly in terms of cost-benefit ratio. The most important improvements are obtained by creating increasingly complex models with more layers and parameters.In this research, we will see how, by mixing transfer learning, zero-shot learning, and ONNX runtime2, we can access the power of BERT right now, optimizing time and resources, achieving noticeable results on day one.
Sistem Penjadwalan Sidang Tugas Akhir menggunakan Algoritma Genetika

Objective this research is to automatically schedule student final assignments using genetic algorithms in the Automation Engineering Technology Study Program of the Manufacturing Polytechnic in Bandung. Genetic Algorithm (GA) is a heuristic method or a method of finding optimal values using the principles of evolution. GA is used as a solution search algorithm in this research. The solution was implemented into a program that can create a schedule automatically based on the limitations set by program users. Scheduling parameters that are focused on in this study are duplication or clash issues and category suitability between the final project and examiners. Based on these parameters the program can produce the optimal schedule with varying success rates depending on the ratio between the number of trial examiners and the number of examiners needed at one time, where a ratio above 2: 1 result in success above 90% for duplication cases, and the ratio is above 1.5: 1 for category conformance cases.
WORLD TRENDS OF PROFESSIONAL TRAINING OF FUTURE TEACHERS IN HIGHER EDUCATION INSTITUTIONS

The conference proceedings are focused on the study of innovations in science, taking into account global trends and regional aspects. General issues of the engineering, philological, pedagogical, legal, economic sciences, history of art, agriculture and so on are considered. The publication is designed for scientists, lecturers, postgraduate students, students, as well as for the general readers. International Scientific Conference Innovation in Science: Global Trends and Regional Aspect: Conference Proceedings, March 12-13, 2021. Riga, Latvia: «Baltija Publishing». 260 pages.
K-means method for clustering learning classes

&lt;span&gt;Learning class is a collection of several students in an educational institution. Every beginning of the school year the educational institution conducts a grouping class test. However, sometimes class grouping is not in accordance with the ability of students. For this reason, a system is needed to be able to see the ability of students according to the desired parameters. Determination of the weight of test scores is done using the K-Means method as a grouping method. Iteration or repetition process in the K-Means method is very important because the weight value is still very possible to change. Therefore, the repetition process is carried out to produce a value that does not change and is used to determine the ability level of students. The results of the class grouping test scores affect the ability of students. Application of K-Means method is used in building an information system grouping student admissions in an educational institution. Acceptance of students will be grouped into 3 groups of learning classes. The results of testing the system that applies K-Means method and based on data on the admission of prospective students from educational institutions have very high accuracy with an error rate of 0.074. &lt;/span&gt;
Factors for Joining Village Community Networks in Tanzania

Self-created social networks play key role in the development of communities across the globe. Self-created community networks serve as platforms for social networking among marginalized communities in Africa and the rest of the world. Although community members are motivated to network, social networks face some micro and macro structural challenges. Despite the challenges, community members continue to join and benefit from social networks. However, the reasons for them to join the networks, especially in the African context, are inadequately documented. Using a qualitative methodology and longitudinal research design, the article explores “push and pull” factors for joining a strand of self-created social network known as Village Community Networks (VCONEs). The findings suggest that challenges emanating from the neoliberal context push some community members to join VCONEs. The push prompts them to seek some protection against the negative forces of neoliberalism. VCONEs also pull women to access opportunities offered by the network. Noteworthy, VCONEs have managed to retain some autonomy from external agents such as local governments, donor and NGOs. The autonomy from external agencies makes VCONEs more sustainable than other strands of social networks.
Key <math xmlns="http://www.w3.org/1998/Math/MathML" id="M1"> <mi>n</mi> </math>-Gram Extractions and Analyses of Different Registers Based on Attention Network

Key <math xmlns="http://www.w3.org/1998/Math/MathML" id="M2"> <mi>n</mi> </math> -gram extraction can be seen as extracting <math xmlns="http://www.w3.org/1998/Math/MathML" id="M3"> <mi>n</mi> </math> -grams which can distinguish different registers. Keyword (as <math xmlns="http://www.w3.org/1998/Math/MathML" id="M4"> <mi>n</mi> <mo>=</mo> <mn>1</mn> </math> , 1-gram is the keyword) extraction models are generally carried out from two aspects, the feature extraction and the model design. By summarizing the advantages and disadvantages of existing models, we propose a novel key <math xmlns="http://www.w3.org/1998/Math/MathML" id="M5"> <mi>n</mi> </math> -gram extraction model “attentive <math xmlns="http://www.w3.org/1998/Math/MathML" id="M6"> <mi>n</mi> </math> -gram network” (ANN) based on the attention mechanism and multilayer perceptron, in which the attention mechanism scores each <math xmlns="http://www.w3.org/1998/Math/MathML" id="M7"> <mi>n</mi> </math> -gram in a sentence by mining the internal semantic relationship between words, and their importance is given by the scores. Experimental results on the real corpus show that the key <math xmlns="http://www.w3.org/1998/Math/MathML" id="M8"> <mi>n</mi> </math> -gram extracted from our model can distinguish a novel, news, and text book very well; the accuracy of our model is significantly higher than the baseline model. Also, we conduct experiments on key <math xmlns="http://www.w3.org/1998/Math/MathML" id="M9"> <mi>n</mi> </math> -grams extracted from these registers, which turned out to be well clustered. Furthermore, we make some statistical analyses of the results of key <math xmlns="http://www.w3.org/1998/Math/MathML" id="M10"> <mi>n</mi> </math> -gram extraction. We find that the key <math xmlns="http://www.w3.org/1998/Math/MathML" id="M11"> <mi>n</mi> </math> -grams extracted by our model are very explanatory in linguistics.
Factors For The Development Of Aesthetic Education In Modern Pedagogy

The music lesson is a leading scholar in the system of music education, because it covers sounds in a general way. Music lessons are different from other science lessons in that they are less artistically interesting and give children more creative pleasure, arousing emotional feelings and figurative experiences. Music, in particular, has a great positive effect on the mental and moral development of children.
Game Edukasi Berbasis Android sebagai Media Pembelajaran Matematika untuk Anak Tunarungu

Education is a right for every individual. Not only those with normal conditions, but also those with special needs such as the deaf. Limited intellectual ability in deaf children has consequences for their difficulties in attending academic lessons including maths lessons. This research aims to create an application as a learning medium to attract deaf children in developing their intelligence. This application was created as a means to provide convenience to deaf children in helping the learning process of mathematics. This study uses observation data collection methods, interviews / questionnaires and library studies. The design method used is the waterfall and the testing technique used is Integration and System testing . The result of this study is an android-based game application named math games. The test results show that this application is easy to learn and there are media that make children happy.
Aplikasi Belajar Bahasa Daerah Pulau Taliabu Berbasis Android

The progress of the times has brought various changes in various fields of human life, one of which is the use of regional languages. Taliabu Island is one of the areas within the province of North Maluku, which has its native language or Taliabu language. Currently the use of the Taliabu language has been forgotten by the people of the area, this is built by technological advances that continue to develop, making people forget the importance of culture which should be preserved as the identity of the area. This study aims to build a local language learning application for the island of Taliabu using android as a platform to make it easier for people there or to take the initiative to learn Taliabu. Selection of android as the operating system, because android is currently widely used, ranging from adults to even children, this will have a positive impact to help local governments who are trying to preserve regional culture, one of which is the Taliabu area. Applications will be built using the RAD (Rapid Application Development) method as a system development method, which consists of several stages of work, namely the analysis, design, coding and testing stages. The application of the dictionary for the local language of Taliabu Island based on Android can be translated into Indonesian - Taliabu and Indonesian - Maluku. The resulting output is the form of the translated text and the vocabulary that you want to know the meaning.
Mammogram Classification with Forest Optimization using Machine Learning Algorithms

Introduction:The deadly disease in Indian women is Breast Cancer (BC).A mammogram is used for identifying the tumours in the breast in the early stages which is efficient and cost-effective.Objective: The main objective is to predict BC in the early stages using image processing and machine learning techniques.Methods: Our proposed methodology is 6 step process which includes preprocessing, feature extraction, feature selection, splitting the data into training and testing, classification and performance measure. Results:The experiments are done on MIAS (Mammogram Image Analysis Society) dataset.As more noise in the images of this dataset, filters are applied to get more clarity in images.Features are extracted by Local Binary Patterns (LBP) and optimized by Forest Optimization Algorithm (FOA).These features are divided into 70% training and 30% testing data for classification.The classifiers used are K-Nearest Neighbor (KNN), Naïve Bayes (NB) and Random Forest (RF). Conclusion:The experiments show that LBP based FOA with RF classifier achieved good accuracy in classifying the mammograms.
Correlational Study between Grammatical Competence, Students’ Interest in Writing, and Writing Skill

Abstract: This research aims to know the correlation between (1) grammatical competence and writing skill, (2) students’ writing interest and writing skill, and (3) grammatical competence, students’ writing interest and writing skill. This research was conducted at MTs Negeri 2 Surakarta in the academic year of 2016/2017. The sample is class 8H which consists of 32 students taken by using cluster random sampling. The research instruments used to collect the data are test and questionnaire. The data were analyzed by using single and multiple correlations and multiple linear regressions. The result of the research show that (1) there is a positive correlation between grammatical competence and writing skill; (2) there is a positive correlation between students’ writing interest and writing skill; (3) there is a positive correlation between students’ grammatical competence and, writing interest and writing skill. The students’ grammatical competence gives 24.68% contribution to writing skill and the students’ writing interest gives 19.32% contribution to writing skill. The total effective contribution of grammatical competence and students’ writing interest to writing skill is 44%.It can be concluded that the increase of students’ grammatical competence and students’ writing interest simultaneously will be followed by the increase of students’ writing skill. Key words: grammatical competence, writing interest, writing skill