Reviewerly/exHarmony huggingface dataset:
Polarimetric thermal-to-visible heterogeneous face recognition using coupled independent component analysis

Heterogeneous face recognition (HFR) refers to matching face imagery across different domains, such as identifying a thermal probe image given a gallery of visible face images. In this paper, we propose a method for thermal to visible face recognition based on coupled independent component analysis (Coupled ICA). It has been reported that independent component analysis (ICA) of natural scene patches produces a set of visual filters that resemble the receptive fields of simple cells in visual cortex and the projection matrix form a basis of images. Aiming to learn a common latent space for cross-modal images, we propose to learn a separate set of ICA filters which represent the respective imaging system in each domain using a coupled architecture. Coupled ICA assumes the image sources from one domain to be identical to those observed at the other domain. Pairs of image patches in the two domains jointly update the projection matrix in Coupled ICA model. The obtained ICA filters are used to transform images into a domain-independent latent space via patch-wise synthesis. In addition, we add cross-examples into a one-vs-all sparse representation (SR) classification strategy to improve classification performance. Experiments were conducted with the ARL Multi-modal Face Dataset. The results show that the proposed method can fuse the thermal and visible images and outperforms the state-of-the-art methods of cross-modal face recognition.
HSE Library Guides: Introduction to HSE Library Services: Using 'Search E-Library' to find an article or a journal title

Introduction to HSE Library Services Search across all our online resources and knowledge base at once.
Some features of the mathematical knowledge formation of technical university students

"Given article reveals a topic of the teaching mathematics’ features at a technical university. The teaching mathematics’ problem is an urgent one that needs to be addressed immediately, in the near future today’s students will have to develop all branches of science and technology in the Kazakhstan, and they are quite negatively regarded to the mathematics study, and hence they have low grades of academic performance. Scientists around the world have repeatedly proved that currently without knowledge of the mathematical apparatus the science’s movement is impossible, since mathematics provides powerful methods for knowledge of the world, as well as for studying its laws. In order to apply mathematics as a research method, it is very important to realize and master the essence and interconnection of ideas and concepts, and for this we suggest developing interest to the mathematics study. The given article proposes methods of mathematics study development constructed by the authors and analyzes the obtained results. "
Translations: Adorno and Dahlhaus

Abstract This article provides an introduction to the English translations of texts on timbre and orchestration by German scholars Theodor W. Adorno and Carl Dahlhaus. The Adorno text, “The Function of Timbre in Music,” is based on a series of lectures he gave at the Darmstadt Summer Courses for New Music in 1966, while Dahlhaus’ essay “On the Theory of Instrumentation” was originally published in the journal Die Musikforschung in 1985. This introduction gives an overview into the differing approaches of the two authors to the problem of musical timbre and briefly considers the challenges presented in the translation of German words such as Klang, Farbe, and Klangfarbe.
MENINGKATKAN MINAT BACA DAN KEMAMPUAN BAHASA INGGRIS ANAK MELALUI PEMBENTUKAN RUMAH BACA “ENGLISH EXTENSIVE READING”

This community service is an English language learning program for elementary school-aged children in Kampung Cantilan, Desa Sukarame. This program is organized based on requests from parents who report that they want their children to learn English, but since Kurikulum 2013 (K-13) has been implemented, English is not taught in Elementary School. It does not belong to primary time allocation where it depends on the school policy to take English as an extracurricular subject or not. After conducting the interviews, it can be concluded that the parents want their children to learn English and the children have high motivation to learn English but lack of interest in reading books. Hence, this program is conducted as a means for children to get access to learn English and to get motivated to read a lot. The method used in this community service program was adapted from Vincent II (2009), namely community development practice, whereas the steps used in providing training materials are: orientation, training, feedback and continuation. Pre-test and post-test are carried out at the beginning and at the end of the program and show an increase in scores from pre-test to post-test. From the test results, it can be concluded that this service contributes in gaining children’s English language ability.  Whereas from the interviews, it is known that the children's interest in reading has increased.
Unsupervised Quality Estimation for Neural Machine Translation

Quality Estimation (QE) is an important component in making Machine Translation (MT) useful in real-world applications, as it is aimed to inform the user on the quality of the MT output at test time. Existing approaches require large amounts of expert annotated data, computation and time for training. As an alternative, we devise an unsupervised approach to QE where no training or access to additional resources besides the MT system itself is required. Different from most of the current work that treats the MT system as a black box, we explore useful information that can be extracted from the MT system as a by-product of translation. By employing methods for uncertainty quantification, we achieve very good correlation with human judgments of quality, rivalling state-of-the-art supervised QE models. To evaluate our approach we collect the first dataset that enables work on both black-box and glass-box approaches to QE.
Translating IdiomsusingParaphrasing, Machine Translation and Rescoring

Idioms are rich multi-word expressions that can be found in many works of literature. The meaning of most idioms cannot be deduced literally. This makes translating idioms challenging. Moreover, the parallel text that contains idioms is limited. As a result, machine translation has difficulty in translating idioms correctly. Paraphrasing is a process to restate the meaning of a text or a passage using different words in the same language. Often, paraphrasing is used to give readers a clearer understanding of the original text. Paraphrasing can be used to assist machine translation in translating idioms. In this article, we attempted to improve the translation of idioms using paraphrasing. An approach that combine paraphrasing and rescoring with machine translation is proposed. The paraphrasing and rescoring improve the translation produced by neural machine translation from 12.03% to 12.92%.
The Compatibility of English Textbook "Bright An English" Used in the Seventh Grade of Junior High School

The objective of this study was to identify the compatibility of English textbook “Bright An English” for the seventh grade of High School with the content suitability and presentation appropriateness, determined by National Board of Education Standard (NBES). The mixed method (combining quantitative and qualitative method) were applied in the analysis of data. This current content analysis study followed four systematic steps: 1) Collecting data from the sources and entering them to the checklist table 2)Analyzing the materials presented in the textbook “Bright An English”. 3) Comparing the materials provide within the textbook with the criteria from NBES criteria. 4) Interpreting the data gained from process of evaluation of the textbook “Bright An English”. In the data analysis technique, the percentage of criteria fulfillment was calculated by dividing the total of criteria points which were met in a textbook for each sub aspect with the total of criteria points in each sub aspect. It was then multiplied by 100%. Based on the rubric assessment the researcher concluded that the English Textbook “Bright An English” covers about 85% of material and met the category required by NBES.
The Contributiion of Interactive Teaching Material in Pandemic ; Interctive Website and Automation

Pandemic makes all the activity especially learningis to be done at home. The study contains the development of learning media college students using Edmodo. it is intended to prepare students to face the new era that called industrial era 4.0. it require students to master several application and auotomation.therefore, the instructor should be able to employ and use the aplication to enlighten the job. Its becomes the basis of this research to gain information wetheter storing the material and attendance list using Edmodo is helpful. The theory of R n D or called research and development is used. Some of the processes are storing the material, . This study shows that the content consequence is good and applicable. In addition, the reliability and practicality of the material in the Edmodo also show good results and acceptable
Whit's the Richt Pairt o Speech: PoS tagging for Scots.

In this paper we explore PoS tagging for the Scots language. Scots is spoken in Scotland and Northern Ireland, and is closely related to English. As no linguistically annotated Scots data were available, we manually PoS tagged a small set that is used for evaluation and training. We use English as a transfer language to examine zero-shot transfer and transfer learning methods. We find that training on a very small amount of Scots data was superior to zero-shot transfer from English. Combining the Scots and English data led to further improvements, with a concatenation method giving the best results. We also compared the use of two different English treebanks and found that a treebank containing web data was superior in the zero-shot setting, while it was outperformed by a treebank containing a mix of genres when combined with Scots data.
MULTILAYER PERCEPTRON ARTIFICIAL NEURAL NETWORKS: AN APPROACH FOR LEARNING THROUGH THE BAYESIAN FRAMEWORK

The machine learning area has recently gained prominence and articial neural networks are among the most popular techniques in this eld. Such techniques have the learning capacity that occurs during an iterative process of model tting. Multilayer perceptron (MLP) is one of the rst networks that emerged and, for thisarchitecture, backpropagation and its modications are widely used learning algorithms. In this article, the learning of the MLP neural network was approached from the Bayesian perspective by using Monte Carlo via Markov Chains (MCMC) simulations. The MLP architecture consists of the input, hidden and output layers. In the structure, there are several weights that connect each neuron in each layer. The input layer is composedof the covariates of the model. In the hidden layer there are activation functions. In the output layer, there are the result which is compared with the observed value and the loss function is calculated. We analyzed the network learning through simulated data of known weights in order to understand the estimation by the Bayesian method. Subsequently, we predicted the price of WTI oil and obtained a credibility interval for theforecasts. We provide an R implementation and the datasets as supplementary materials.
THE INFLUENCE OF MANGAROCK ONLINE COMICS IN TEACHING WRITING A NARRATIVE TEXT

Manggarock online comics are used by many researchers in enhancing students’ language skills. This study aims to investigate the effectiveness of Manngarock online comics to improve students' writing skills at the ninth-grade students of SMP Harapan Masa, Depok, Indonesia. This study is categorized as a quantitative study using Pre-experimental design. To attain the data, researchers employ writing tests. The sample of this study is all students of the ninth-grade students of SMP Harapan Masa. The students are subjected to Manggarock online comics. To know the efficacy of Manggarock online comics, researchers apply statistical analysis, which is t-test. The students’ writing skills in the pre-tests and the post-test are calculated using descriptive statistical analysis. Based on the results of analysis, the mean score of students is 79.26. meanwhile, the value of t-test (16.243) was higher than t-table (2.015) in a significant level of 5% (0.05). Therefore, the alternative hypothesis (Ha) proposed was accepted while the null hypothesis was rejected. From the results of this analysis, this study can be concluded that the Manggarock online comics have a positive effect on students' writing skills at the ninth-grade students.
THE IMPLEMENTATION OF VIDEO TO IMPROVE STUDENTS’ WRITING PROCEDURE TEXT

This research is aimed to find out whether using video can improve students’ ability in writing procedure text. The researcher was conducted the research to the ninth grade students at SMPN 3 Palu. This research applied quasi-experimental research design. The samples of this research were grade IX A as the experimental class that consist 24 students and grade IX D as control class that consist of 22 students. They were selected by using cluster random sampling. The instrument of data collection in this research were tests that were divided into pre-test and post-test. There is significant different in pretest and posttest, the mean score of experimental class significantly increased from 39.93 to 80.21. Meanwhile, the mean score of control class from 58.33 to 61.74. It was proven by the result of t-counted is 8.10 and t-table was 1.68 by applying level of significance (0.05). Based on the result above, it can be concluded that video can improve students’ writing procedure text because the T-counted is higher than T-tabel. Key words: Improving, writing, ability, video Abstrak: penelitian ini bertujuan untuk mengetahui apakah penggunaan video dapat meningkatkan kemampuan siswa dalam menulis procedure teks. Penelitian ini dilakukan di kelas Sembilan di SMP Negri 3 Palu. Penelitian ini menerapkan desain quasi eksperimental. Sampel penelitian ini adalah kelas IX A sebagai kelas eksperimen terdiri dari 24 siswa dan kelas IX D sebagai kelas control terdiri dari 22 siswa. Mereka di pilih dengan menggunakan sampel kelompok acak.  Instrument pengumpulan data dalam penelitian ini adalah tes yang dibagi menjadi pretest dan posttest. Ada perubahan yang signifikan di pre test dan post test, nilai di kelas eksperimen meningkat secara signifikan dari 39.93 menjadi 80.21. sedangkan, nilai di kelas control meningkat dari 58.33 menjadi 61.74. Itu dibuktikan dengan hasil dari T-hitung yaitu 8.10 dan T-tabel yaitu 1.68 dengan menerapkan tingkat signifikansi 0.05. Berdasarkan hasil di atas, dapat disimpulkan bahwa video dapat meningkatkan kemampuan siswa menulis teks procedure karena nilau T-hitung lebih tinggi dari T-tabel. Kata kunci : Meningkatkan, kemampuan menulis, vidio
Traditional Judicial Systems Need Ammunition for Future

Y2K revolutionized, restructured and reorganized the Indian way of living with the introduction of computers, internet and networking (computer networks). Today computer and smaller versions of desktop computers like laptops, tablets, Ipads and smart phones are a necessity instead of indulgence. Spending more than 60% of waking hours in the digital world, humans today are more accustomed to the cyber world than the real-world. Thus internet is the preferred medium of communication, information and transactions. Having explored the internet some crooked minds inclined towards crime tends to use the internet and its associated paraphernalia for commission of unlawful act owing to the anonymity, obscurity and inscrutability internet provides. The existing legal framework does not have enough teeth to deal with crimes conducted using digital devices and digital networks. The culprit can easily plan, execute and effectuate a crime without actual presence at the site of crime, thus making it complicated, confusing and confounding for investigators, law enforcement officials and traditional justice systems which are completely dependent on physical evidence to identify the real culprit or to ascertain guilt and decide the amount of punishment. Using a desktop, a laptop or even a smart phone, the criminal can harness the power of internet, Wi-Fi technology, Bluetooth, 4G data speeds and proxy-servers to execute an illegal offence even when he is miles, countries or continents away from the actual location of the crime, thus leaving absolutely no physical trail of the execution of the offence. Considering such possibilities stimulated by technical advancements, it becomes necessary to employ digital footprints as they are the only way to determine the factualness of execution of an unlawful act and to pinpoint the real culprit. Digital footprints have to be given their rightful place in the existing legal framework to facilitate verification of execution of an unlawful act, spotting the actual culprit and determining the amount of punishment. This paper is a detailed analysis of existing legality and legal framework to enable understanding, recognition and acceptance of the significance of digital footprints for both traditional and New-Age crimes and utilization of the same by the current Justice Systems to corroborate, attest and substantiate the execution of an unlawful act.
ADDITIONAL EDUCATION FOR SOCIAL SPHERE SPECIALISTS AND THE NECESSITY OF ITS DEVELOPMENT

The articles analyses the additional education for social sphere specialists and the necessity of its development. The authors stressed the importance of the problem of reorganization and development of additional professional education as part of the system of continuous education, among the priorities of the state and society.
An Analysis Of Students’ Difficulties In Learning Listening At The Tenth Grade Of MA Nurul Falah Learning

Listening  ability  is  one  of  the  important  skills  in  foreign  language  learning, and  there has been relatively little research in this specific area. The prior English skill is listening. Without passing listening, someone can not be able to speak, read, and write. The present study attempts to investigate the listening  problems  encountered  by  a  group  of  Tenth Grade Students of MA Nurul Falah. In this research, the writer uses descriptive research method. Data was gathered by the instruments of observations, students’ listening scores analysis, questionnaires and interviews.  The findings of the study showed that there are two listening difficulties factors that the students encountered which are divided to two, those are internal factors such as unclear pronunciation, limited vocabulary, poor knowledge of grammar, unfamiliarity with the listening topic, inability to concentrate,  do not like English, self-distrust, speech rate, and accent, the second one are from external factors like poor tapes quality and noises around them while they are listening. The suggestions therefore state that the school should facilitate the listening lab with adequate equipment and the English teachers should motivate students’ enthusiasm by starting to like and learn English listening also extensively outside the classroom.
Quantifying the Effects of Refactorings on Bad Smells

Refactoring aims to remove bad smells and increase software maintainability by improving the software structure without changing its behavior. Even with the existence of tools to assist refactoring, many developers do not trust in their solutions, claiming that some studies show that refactoring may even introduce new bad smells into the source code. However, we do not find a complete catalog that states when this may occur. To investigate this subject deeply, the goal of this dissertation is to evaluate the effects of refactoring on the detection of bad smells. Specifically, we want to know if and what refactoring removes bad smells or introduces them. To achieve our goal, we plan to conduct empirical studies to provide a catalog showing these situations.
Complementary Evidence Identification in Open-Domain Question Answering

This paper proposes a new problem of complementary evidence identification for opendomain question answering (QA).The problem aims to efficiently find a small set of passages that covers full evidence from multiple aspects as to answer a complex question.To this end, we proposes a method that learns vector representations of passages and models the sufficiency and diversity within the selected set, in addition to the relevance between the question and passages.Our experiments demonstrate that our method considers the dependence within the supporting evidence and significantly improves the accuracy of complementary evidence selection in QA domain.
문학작품 모델링을 활용한 융합교육에 관한 탐색적 연구: 햄릿 모델링을 중심으로

The purpose of this paper is to articulate the feasibility of the system dynamics simulation on literature focused on Hamlet Modeling 2.0 in the classroom as a convergence education in the K-12 education field.The literature review shows the competences of Korean language education and science education, which are suggested from the Government’s 2015 Revision of education, play a crucial role in convergence education. This paper also illuminates the education strategy and process in the classroom with Hamlet Modeling 2.0., and survey results from the students about the Hamlet Modeling 2.0 in the classroom, which verifies the feasibility of Hamlet Modeling as a convergence education.The conclusion provides some research implications and further research direction.
Kernelled Naive Bayes Using a Balanced Dataset for Accurate Classification of the Material Toxicity

In this work, a new multi-class classification approach was employed in the QSAR model to assess chemical toxicity prediction through handling the imbalanced dataset as the critical preprocessing step in the training dataset. Various classifiers of the decision tree, K-NN, naive Bayes, kernelled naive Bayes, and SVM and two distinct acute aquatic toxicity datasets towards Daphnia Magna and Fathead Minnow Fish were used to evaluate the generality of the approach. The quantitative response (LC50) was discretized into ten bins. Imbalanced dataset classification leads to a high level of errors since the classifier tends to learn from the majority class more than the minority class. Each training dataset was specified by different weights related to the class population. These datasets were then bootstrapped based on their weights to convert the imbalanced dataset into a balanced one. This approach enhanced the accuracy of classification of material toxicity dramatically (up to 99%). Balanced dataset classification had high overall accuracy when correlated attributes were removed. Therefore, fewer attributes are sufficient to predict material toxicity.The overall accuracy improvement of the decision tree, K-NN, naive Bayes, kernelled naive Bayes, and SVM for the Daphnia Magna dataset after balancing the data set are 58.03%, 55.08%, 9.09%, 72.48%, and 53.05%, respectively.