Reviewerly/exHarmony huggingface dataset:
Reinventing the Windbreaker: Windbreaker Hanbok

The windbreaker is one of the biggest activewear markets with increasing annual sales due to increasing outdoor activities from climate changes. Due to the windbreaker’s popularity, innovations in design elements to improve its functionality are readily explored. While the windbreaker provides practical functionalities for outdoor activities such as wind and water resistance, there exist environmental concerns such as the utilization of chemicals for the synthetic fibers. Solutions for environmentally friendly use of materials have not been extensively explored. This paper proposes an upcycled windbreaker design to satisfy both sustainability and functionality. The first objective is to create a sustainable garment using recycled materials to minimize negative environmental impacts while satisfying consumer needs regarding garment performance. The second objective is to combine styles and functionalities from both Eastern and the Western garment design elements to create an innovative East-West fusion for a global application.
Warpspeed Computation of Optimal Transport, Graph Distances, and Embedding Alignment

Optimal transport (OT) is a cornerstone of many machine learning tasks. The current best practice for computing OT is via entropy regularization and Sinkhorn iterations. This algorithm runs in quadratic time and requires calculating the full pairwise cost matrix, which is prohibitively expensive for large sets of objects. To alleviate this limitation we propose to instead use a sparse approximation of the cost matrix based on locality sensitive hashing (LSH). Moreover, we fuse this sparse approximation with the Nystrom method, resulting in the locally corrected Nystrom method (LCN). These approximations enable general log-linear time algorithms for entropy-regularized OT that perform well even in complex, high-dimensional spaces. We thoroughly demonstrate these advantages via a theoretical analysis and by evaluating multiple approximations both directly and as a component of two real-world models. Using approximate Sinkhorn for unsupervised word embedding alignment enables us to train the model full-batch in a fraction of the time while improving upon the original on average by 3.1 percentage points without any model changes. For graph distance regression we propose the graph transport network (GTN), which combines graph neural networks (GNNs) with enhanced Sinkhorn and outcompetes previous models by 48%. LCN-Sinkhorn enables GTN to achieve this while still scaling log-linearly in the number of nodes.
UNIVERSITY CAPACITY TO RAISE PUBLIC AWARENESS OF MEASURES TO COMBAT COVID 19: A RUSSIAN UNIVERSITY EXPERIENCE

The goal of the paper to explore the university capacity to contribute to the public good during the current health emergency.The above statement is explored in the paper with regard to the Peoples' Friendship University of Russia (Moscow, Russian Federation).The research materials include open mass media sources where the academic faculty of the University provide their comments and expert opinions.The research design integrated the analysis of academic papers to shape the research theoretical background and empirical studies.They stood on the ground theory approach and inductive techniques to aggregate the concrete items of data through context-based search of the relevant information.The research findings reveal that in two months of strict quarantine, RUDN University doctors gave 16 interviews to the country's leading TV channels and print media about the forecast of the pandemic in Russia, the nature coronavirus infection in different countries and in different people, analysis of drugs that suppress coronavirus and methods of treatment, the special danger of coronavirus for smokers, the need for proper nutrition in a pandemic, the importance of special attention to the health of pregnant women and the need for constant attention to the psychological state and behavior of children, etc.Further, the university volunteering activities contributed both to the public support in general, and fostered youth sustainability, as well.The above data leads to the conclusion the university community realizes the importance of its social mission for satisfying the information needs of the population, understands the importance of applied research that really helps people in emergency situations.
Sarcasm Detection Using Machine Learning

Now a day’s sarcasm detection has been recognized as one of the toughest challenge of NaturalLanguage Processing (NLP). The sarcasm detection becomes tough due to the gap between what is said andwhat it really means.In the field of social media such as Facebook, Whatsapp, Instagram, Twitter andreviews, it has became very important to detect the sarcastic comments as it effect the ratings of businessactivities for example ratings of amazon products. In our research we are proposing a sarcasm detector toanalyze the variety of comments from different platforms such as:- Twitter, Facebook, Whatsapp, and selfgenerated records. The proposed model is tested for different machine learning techniques namely, SupportVector Machine (SVM), Convolutional Neural Network (CNN) and comprehensive performance isanalyzed. The system acquires an accuracy (%) of 99%,97%, the use of SVM,CNN respectively
Max-sliced Bures Distance for Interpreting Discrepancies

We propose the max-sliced Bures distance, a lower bound on the max-sliced Wasserstein-2 distance, to identify the instances associated with the maximum discrepancy between two samples. The max-slicing can be decomposed into two asymmetric divergences each expressed in terms of an optimal slice or equivalently a witness function that has large magnitude evaluations on a localized subset of instances in one distribution versus the other. We show how witness functions can be used to detect and correct for covariate shift through reweighting and to evaluate generative adversarial networks. Unlike heuristic algorithms for the max-sliced Wasserstein-2 distance that may fail to find the optimal slice, we detail a tractable algorithm that finds the global optimal slice and scales to large sample sizes. As the Bures distance quantifies differences in covariance, we generalize the max-sliced Bures distance by using non-linear mappings, enabling it to capture changes in higher-order statistics. We explore two types of non-linear mappings: positive semidefinite kernels where the witness functions belong to a reproducing kernel Hilbert space, and task-relevant mappings corresponding to a neural network. In the context of samples of natural images, our approach provides an interpretation of the Frechet Inception distance by identifying the synthetic and natural instances that are either over-represented or under-represented with respect to the other sample. We apply the proposed measure to detect imbalances in class distributions in various data sets and to critique generative models.
The system of additional education in an urban settlement of the Russian Federation as a factor of human development: institutional conditions and methodological mechanisms

Problem and relevance. The urban system of additional education can objectively be a key factor in the formation of human potential among students of a particular city. But to do this, it is necessary to define specific didactic forms and management models that organize educational activities in the logic of increasing human capital. The purpose of the article: to determine the content-didactic and management tools, in which the sphere of additional education in a modern Russian city will become a factor in the development of human capital and potential. Methodology: application of the key provisions of the cultural and historical approach (L. S. Vygotsky, B. D. Elkonin) and the system–based approach (G. P. Shchedrovitsky, P. G. Shchedrovitsky, Yu. V. Gromyko) to the construction of a model of additional city education as a tool for the development of human capital and potential. Research result: – the mechanisms of influence of the general socio-cultural system of the city on the sphere of additional education are determined; – identified those components of the urban socio-cultural environment that are formed by the sphere of additional education; – content-didactic and managerial tools are described, due to which the urban sphere of additional education becomes a tool for the development of human potential. Conclusion: in order for the urban system of additional education to become a factor of human capital and potential development, it is necessary to use students ‘ solution of open educational tasks in an open situation and forms of independent construction of life strategies as content–didactic tools. As management tools, it is necessary to implement systems of multi–position network interaction of participants in the educational process, competitive selection of educational programs, events and platforms for the development of relevant pedagogical competencies among participants in the educational process.
Actual problems of digitalization of education in educational organizations of the Federal Penal Service of Russia

Modernization of vocational education in the Decree of the President of the Russian Federation «On the national goals and strategic objectives of the development of the Russian Federation for the period up to 2024» is designated as one of the priority directions of development of the country. Among the innovative approaches to the professional formation development and education of employees who are capable in modern conditions to ensure the high-quality functioning of the penal system we should highlight the creation of a digital educational environment. Digital educational environment is an open set of information systems aimed to solve problems of the educational process. The presence of this allows to create the conditions for the implementation of educational programs, the achievement of planned personal learning results. However digital learning is at the beginning of its path; in the process of introducing it into the education system many problematic issues are to be solved. Proponents and opponents of digital learning argue for the pros and cons of digitizing education. In our opinion digital technologies have become firmly established in our lives and their development continues actively. The results of a survey conducted among cadets and students of educational organizations of the Federal Penal Service of Russia determine the search for opportunities for digitalization of the learning process as well as new goals and directions for the educational process.
Simple Handwriting Calculator Application Using Optical Character Recognition (OCR)

The calculator is a calculation tool that is widely used in various specialized fields of business and commerce. The use of a calculator makes it easier for humans to perform calculation operations, but there are obstacles in the process of inputting numbers if you want to calculate the value of numbers on written media such as paper, whiteboards and so on. The user must first see the text on written media, then read it and remember it then type the writing on a calculator tool or application. The drawback of this method is that when the user forgets the writing on the written media, the user will see the written text and remember it again so that it takes longer to perform calculations using a calculator. The method used in this study is Optical Character Recognition, this method can recognize text contained in images or handwritten images of mathematical number operations. The results of the introduction of the text will then be carried out by arithmetic calculations to get the calculation results. From the trials on 20 handwritten images of mathematical number operations, the results obtained were 85% accuracy of extraction and accuracy of handwritten images that can be calculated and correct by 85%.
Polynomial Time Approximation Schemes for All 1-Center Problems on Metric Rational Set Similarities

In this paper, we investigate algorithms for finding centers of a given collection $$\mathcal N$$ of sets. In particular, we focus on metric rational set similarities, a broad class of similarity measures including Jaccard and Hamming. A rational set similarity S is called metric if $$D=1-S$$ is a distance function. We study the 1-center problem on these metric spaces. The problem consists of finding a set C that minimizes the maximum distance of C to any set of $$\mathcal N$$ . We present a general framework that computes a $$(1+\varepsilon )$$ approximation for any metric rational set similarity.
Aplikasi Penggajian Karyawan Pada CV System Comutama

CV System Comutama is a business entity engaged in the sale of computer accessories. The payroll system contained in the CV System Comutama has not been carried out to the full potential for it requires a payroll application that can support the delivery of data more effectively and efficiently. The purpose of this research is to design employee payroll applications on the CV System Comutama effectively and efficiently, facilitate the financial department to be able to calculate employee payroll quickly and minimize errors and to facilitate the achievement of reports that are fast, accurate, valid, effective and efficient. The research method used is the grounded research method to collect data and analyze data at the same time. The modeling system used is the Data Flow Diagram (DFD) method using the java programming language while the database uses MySQL. With the employee payroll application is expected to facilitate the calculation of employee salaries and provide employee salary data reports that are stored neatly, safely, and accurately in a database that is systematic.
Penulisan Abstrak Bahasa Inggris

This partnership program aims to provide knowledge and skills of writing an English abstract for English Teacher Association, Somba Opu district, Gowa used to express their ideas in a brief, concise, conclusive and informative manner to produce some scientific works. It is expected that it can develop skills, attitudes and a writing culture as a medium for sharing concrete thoughts, both through printed and non-printed media. This program is packaged in the form of training which consists of several activities , namely (1) presentation of material about the concept of basic writing of an abstract by utilizing the online facilities of information and technology in the current situation of a pandemic covid 19, namely Zoom, Google Meet, and Watch Application, (2) individual assignment to write an abstract , (3) abstract presentation , and (4 ) revision of abstract in terms of choice of diction or grammatical mistakes given during the presentation session. The methods used in this training are quite varied, namely lectures, discussions/presentations, and individual consultations to the team. The result of this program showed that (1) the participants gained a good understanding about the concepts and writing organization for English abstract, and (2) there were 85% of them were able to make up a well-organized abstract. It takes into account that this program has a positive impact toward their participant knowledge and skill of writing an English abstract.
Experimental Study on Sampling Theorem in Signal Processing

This practicum is to define the study properties of the sampling theorem. Understand the effect of selecting the sample size and its effect on the signal recovery process. The experiment utilizes a computer or portable workstation to run an examination of the hypothesis reenactment program. From the test information gotten, it can be concluded that the more noteworthy the frequency of the signal to be inspected, the closer the signal will be to the initial signal. The time and frequency of the examining signal are conversely relative. The higher the frequency, the lower the time will be. The magnitude of the amplitude of the output signal is indeterminate.
Utilization Of Data Mining To Classify The Locations Of New Street Food Businesses Attracted And Potentially Big Profits In The City Of Surakarta

This study uses C4.5 algorithm to classify potentially large-profit businesses in the city of Surakarta. The data used are street vendors who are divided into 4 types of merchandise namely snacks, snacks, heavy foods and drinks. The locations that are targeted for classification are Car Free Day. The division of the Car Free Day zone was carried out to find out which areas had more influence on certain foods to get big profits. Car free day zone is divided into 4 parts, namely purwosari area - rumah makan diamond, rumah makan diamond - toko buku gramedia, toko buku gramedia - ngarsopuro and the last one is ngarsopuro – bundaran gladag. Based on the results of the study, the most profitable area to sell is the toko buku gramedia - ngarsopuro. Besides this research also classifies based on the ability of the production of raw materials, namely medium and large. The best business category that requires this type of medium-sized raw material is selling at the toko buku Gramedia - Ngarsopuro area, while for the best raw material the best area is the same among Purwosari - Rumah makan diamonds, Gramedia toko buku - Ngarsopuro and Ngarsopuro – bundaran gladak
Improvement of English Descriptive Writing Skills Through Project Based Learning

This research aims to improve writing skills through the project-based learning model. The research subjects were 36 students. Data collection methods used are observation, testing, and documentation. The act of learning the first cycle of students describe a tourism place. On the second cycle, they describe a tourism place. Cycle II is more focused on linguistic and non-linguistic aspects, which are still lacking. The evaluating system that was suitable for this research was planning, implementation, and project evaluation. Improvement is indicated by the results of students' writing skills scores. The increase occurred: (1) the average value of student pre-cycle by 72,75 rose to 78,06; (2) the first cycle was 78,06 with a percentage of completeness of 50%; (3) the second cycle is 84,46 with an 84,37 % completeness percentage.
PAMERAN VIRTUAL SEBAGAI SALAH SATU UPAYA PROGRAM PENJANGKAUAN KEARSIPAN OLEH ARSIP UNIVERSITAS GADJAH MADA

Archives have a broad role for organizations. That is why it needs to be published. Archive publication is an effort to reach the public. Virtual exhibitions is one of the outreach efforts that can be done during the current COVID-19 pandemic. The purpose of this study was to analyze one of the archival outreach programs at the Gadjah Mada University Archives. Some things that are analyzed are the process of virtual exhibition activities, contents, and the factors that influence the visit to the official UGM Archives page. Through a case study approach, this study seeks to describe some things analyzed. The results showed that the virtual exhibition process was carried out systematically and continuously, content coverage is quite diverse, and the factors that influence a visit to the official UGM Archives page can be identified.
The Effect of Picture Series in Writing Recount Text in SMPN 1 Malinau Barat

Writing is an important major that should be mastered by students. However, it is hard for students to comprehend along English passage. The purpose of this study is to investigate the types of activities that occur during the teaching process of writing recount text through a series of pictures and to identify the benefits students receive from writing a recount text through a series of images. The total sampling technique is used in selecting samples. The results of the study revealed that teaching writing using a series of images can improve students' ability to write recount texts. In particular, they show some improvements to the process of writing and vocabulary.
The Relationship Need For Reading With Motivated Reading Citizens Package C at Pkbm Widya Dharma Nagari Solok Selatan

The background of this research is that the lack of interest in reading the citizens of learning package C at PKBM Widya Dharma Nagari Solok Selatan, researchers suspect the cause of this lack of interest in reading is a lack of need for reading. This study aims to describe the reading needs of learning citizens, to find out a description of the reading interests of learning citizens and how the relationship between the two. The type of this research is a quantitative study with a correlational approach. The population of this study was all citizens who studied package C who were active in PKBM Widya Dharma Nagari Solok Selatan during the 2019 school year, totaling 30 people. The sample in this study was taken as much as 65% with a total of 20 people. The data collection technique is in the form of a questionnaire with the data collection tool in the form of a questionnaire. The data analysis technique in this study used a percentage formula and Rank order. The results of this study indicate that: (1) the reading needs of learning citizens are still low, (2) the reading interest of learning citizens is still low, and (3) there is a significant relationship between reading needs and reading interest in learning package C in PKBM Widya Dharma Nagari Solok Selatan.Keywords: need for reading, interest in reading, learning citizen
Ghigliottin-AI @ EVALITA2020: Evaluating Artificial Players for the Language Game “La Ghigliottina”

Evaluating Artificial Players for the Language Game “La Ghigliottina” (Ghigliottin-AI) task is one of the tasks organized in the context of the 2020 EVALITA edition, a periodic evaluation campaign of Natural Language Processing (NLP) and speech tools for the Italian language. Ghigliottin-AI participants are asked to build an artificial player able to solve “La Ghigliottina”, namely the final game of an Italian TV show called “L’Eredità”. The game involves a single player who is given a set of five words unrelated to each other, but related with a sixth word that represents the solution to the game. Fourteen teams registered to Ghigliottin-AI. Nevertheless, only two teams submitted their run. In order to evaluate the submitted systems, we rely on an API base methodology, via a Remote Evaluation Server (RES). In this report we describe the Ghigliottin-AI task, the data, the evaluation and we discuss results.
The Implementation of Mobile-Assisted Language Learning Through YouTube Vlogging to Boost Students’ Speaking Performance

Technology has an essential part in the world of education 4.0.Technology integration is needed in teaching and learning processes to successfully achieve the targeted learning outcome.Therefore, Mobile-Assisted Language Learning (MALL) has become an interesting topic for studies related to English teaching and learning processes.Numerous studies suggest that MALL is effective for improving students' skills in learning English at any level and boost their learning motivation.Among the studies, some were conducted on investigating the effectiveness of video blogging in improving students' speaking skill.Some other studies were focused on exploring students' view on the implementation of video blogging.However, there are only a few studies that focus on teachers' practice in implementing video blogging.Therefore, through a reflective practice, this article tries to look at and reflect the practice of implementing YouTube vlogging in teaching-learning speaking for the students of a non-English department in Politeknik Negeri Jember.The results showed that YouTube vlogging activities were conducted through five main stages: preparation, modeling, concept-making, implementation, and review.The results also revealed that student self-assessment is needed after vlogging activities are done to help the students reflect on their speaking practice.It is suggested that video blogging activities are implemented in EFL classes as one of teaching and, at the same time, learning strategies to boost students' speaking performance.