Reviewerly/exHarmony huggingface dataset:
RANCANG BANGUN MEDIA PEMBELAJARAN INTERAKTIF MATA PELAJARAN DASAR DESAIN GRAFIS BERBASIS ANDROID

Learning media is one important factor in achieving learning objectives. Proper learning media can increase student interest in learning so that learning can take place optimally. Basic Graphic Design subjects is one of the subjects for class X vocational IT which consists of design theory and practice. Interactive learning media is needed to support the learning process. The solution offered is an interactive learning media based on Android. The application development method is prototyping. The final project is designed in the form of an android-based interactive learning media application that students can benefit anytime and anywhere. In the application there are several main menus including the kd1, kd2, kd3 menus, application guides, and about applications. With this application it is hoped that it can improve student understanding in learning Basic Graphic Design. Keywords: Android, Media, Design, Interactive
Depositional Environment of the Ibrahim Formation and Determining the Oligocene-Early Miocene Boundary in Eastern Iraq

The aim of this study is to investigate the sedimentation environments and diagenetic processes of the Ibrahim Formation (Oligocene-early Miocene) in Zurbatiya, eastern Iraq. The Ibrahim Formation is comprised mostly of clayey micrite and skeletal grains composed of planktonic foraminifera, calcispheres, radiolaria, and benthic foraminifera. Glauconite and pyrite were documented in some restricted zones of this formation; they reflect quiet and reducing conditions. Radiolaria were identified in Late-Oligocene which was not known previously at this age regionally in carbonate formations of the Arabian Plate (AP). Mudstone, wackestone, and planktonic foraminiferal wackepackstone are the main microfacies that are affected by dissolution, cementation (granular), and replacement covering the age of the latest Eocene-Oligocene to the early-middle Miocene. Microfacies analysis indicates a basinal environment with a hemipelagic character of the deep shelf, toe-of-slope, and lower slope. Oligocene-Miocene outcrops have not been known previously in eastern Iraq although they have 160 m thick was first recorded in this study, whereas it was estimated as 56 m in the type section (well-1). Hence, the studied section is therefore suggested to be considered as a type section of the Ibrahim Formation. The Oligo-Miocene boundary is marked by restricted shallow-marine facies at the middle part of the formation indicating a short-term sea-level regression.
Implementing a System for Diagnosing Pulmonary Fibrosis using Hough Algorithm

The main objective of this paper by using image processing algorithms, mainly Hough algorithm, to develop a system which is able to analyze, process and put in evidence all the necessary features of a CT image for diagnosing pulmonary fibrosis. To approach the presented topic, image processing algorithms, image filtering, together with the Matlab work environment were combined and the optimal solution was finally implemented. The main idea behind the method is to identify two types of lines of the CT image which gives to the specialist the correct diagnostic by interpreting the obtained results. As final results, the chosen solution incorporates some crucial steps which have to be done in order to obtain the desired processed image with all the important details visible. The final solution was tested on different CT images and the medical specialist used it for detecting this type of disease, the detection being very easily mistaken.
«…YOUR OPINION IS INTERESTING…, AS THE OPINION OF A TRUE SCIENTIST»: EPISTOLS B. S. BODNARSKY TO S. I.-Y. BOROVOY

The article presents the part of the epistolary heritage of the outstanding Russian and Soviet bibliographer, ideologist of the introduction of the universal decimal classification in the USSR – B. S. Bodnarsky. The article presents for the first time his little-known historical sources. There are twenty epistles to the Soviet historian S. I.-Ya. Borovoy. Generally, the correspondence of these bibliographers is of undeniable interest in the history of Soviet bibliography in particular, and in the history of historical science. The represented epistles are stored in the State Archives of Odessa region, in the fund of personal origin of professor S. I.-Ya. Borovoy. The published ego-documents cover the period from 1952 to 1968 and are a valuable source on the history of socio-cultural life of the early second half of the twentieth century. The provided materials reflect separate fragments of professional activity of two scientists and their personal and scientific communicative communications with some representatives of the Soviet scientific community. The epistles allow us to reproduce some details of the history of Soviet historical science, certain episodes of the biographies of a number of Soviet scholars of those years against the background of socio-cultural events. The particular interest is the epistles of B. S. Bodnarsky in the context of the study of his interpersonal relationships with colleagues and contain facts for a detailed description of the academic community of the time. The epistles also contain a description of human relations, emotional feelings about certain moments that took place in the scientific environment, a description of the atmosphere of everyday life. The special value of the presented primary sources is that their content demonstrates the presence of attentive and friendly attitude between scientists. To a large extent, the personal connections of S. I.-Ya. Borovoy and an influential scholar in academic circles helped his younger colleague to overcome some difficulties and gain recognition as a scholar in the field of bibliography at the All-Union level. The publication of the letters is accompanied by quite complete comments on their content and introduces a valuable historical source into scientific circulation.
Investigating Memorability of Dynamic Media.

The Predicting Media Memorability task in MediaEval'20 has some challenging aspects compared to previous years. In this paper we identify the high-dynamic content in videos and dataset of limited size as the core challenges for the task, we propose directions to overcome some of these challenges and we present our initial result in these directions.
Modifikasi Permainan Puzzle Sebagai Media Pembelajaran Ekonomi Berbasis Make A Match Kelas XI Untuk Meningkatkan Hasil Belajar

Research is in the background because there is no learning media in schools to help the teaching and learning process in economic subjects. Often found low learning motivation in students. In the classroom there is no learning media that supports and increases student learning outcomes in economic subjects in particular, so this study develops a make a match based puzzle game learning media which aims to determine the feasibility, effectiveness, practicality of learning media on student learning outcomes. This research is a development research with Four-D models which only reaches the Develop stage. The trial design of this study used a pretest-posttest group design. The test subjects in this study were 24 students of SMA Negeri 3 Bojonegoro, class XI IPS 1. The results of this study met the feasible requirements, obtained a very feasible category of 91% in media validation, obtained a very feasible category of 100% in material validation, obtained a feasible category of 80% in the evaluation evaluation, obtained a very feasible category of 100% on the validation of effectiveness, and obtained a very feasible category of 100% in practicality, obtained a very feasible category of 95.07% in the response of students. From the research results it can be concluded that the learning media based on make a match puzzle games developed are feasible, effective and practical to use.
A General Class of Transfer Learning Regression without Implementation Cost

We propose a novel framework that unifies and extends existing methods of transfer learning (TL) for regression. To bridge a pretrained source model to the model on a target task, we introduce a density-ratio reweighting function, which is estimated through the Bayesian framework with a specific prior distribution. By changing two intrinsic hyperparameters and the choice of the density-ratio model, the proposed method can integrate three popular methods of TL: TL based on cross-domain similarity regularization, a probabilistic TL using the density-ratio estimation, and fine-tuning of pretrained neural networks. Moreover, the proposed method can benefit from its simple implementation without any additional cost; the regression model can be fully trained using off-the-shelf libraries for supervised learning in which the original output variable is simply transformed to a new output variable. We demonstrate its simplicity, generality, and applicability using various real data applications.
Rancang Bangun Sistem Informasi Penggajian Karyawan PT. Boetomix Nusantara Lestari Berbasis WEB

Design of payroll information systems and requests for funds to the company PT. Boetomix Nusantara Lestari WEB-based still uses Microsoft Excel. By using MS Excel, errors that occur in inputting data and requesting payroll data have many errors. The process of sending goods data still uses whatsapp, because whatsapp used by the salary recapitulation officer has difficulty at the end of every month. This application designed has the aim of providing convenience for users so that the recitation process at PT. Boetomix Nusanara Lestari can run quickly and has a high level of accuracy. Interviews, observations and document analysis are methods used in the data collection process. Unified Modeling Language (UML) is used to describe running business processes and the relationship between users and the system. The employee payroll information system has been tested and the results are in accordance with the needs of PT. Boetomix Nusanara Lestari.
2021 ACM PODS Alberto O. Mendelzon Test-of-Time Award

The ACM PODS Alberto O. Mendelzon Test-of-Time Award is awarded every year to a paper or a small number of papers published in the PODS proceedings ten years prior that had the most impact in terms of research, methodology, or transfer to practice over the intervening decade. The PODS Executive Committee has appointed us to serve as the Award Committee for 2021. After careful consideration and having solicited external nominations and advice, we have selected the following paper as the award winner for 2021: Tight bounds for L_p samplers, finding duplicates in streams, and related problems by Hossein Jowhari, Mert Sağlam and Gábor Tardos Citation. This paper addresses a question posed by Cormode et al. in VLDB 2005, namely whether a uniform (or nearly uniform) sample can be maintained in a dynamically changing database, where data items may be inserted and deleted, while using space much smaller than the size of the database. More generally, it considers maintaining an L_p sample, where an element must be sampled with probability proportional to w^p (possibly up to some small relative error), where w is a weight that may change dynamically. In SODA 2010, Monemizadeh and Woodruff showed that it is possible to perform L_p sampling in a stream using polylogarithmic space. The PODS 2011 paper by Jowhari, Sağlam and Tardos essentially closes the problem by presenting algorithms with improved space usage, as well as a matching lower bound showing that it is not possible to asymptotically improve the upper bounds. The paper has had a considerable impact on the design of algorithms in streaming and distributed models of computation, where L_p sampling has become an essential part of the toolbox. The survey "L_p Samplers and Their Applications" in ACM Computing Surveys (2019) presents a number of surprising applications, for example in graph algorithms and in randomized numerical linear algebra.
Distributing entanglement with separable states: assessment of encoding and decoding imperfections

Entanglement can be distributed using a carrier which is always separable from the rest of the systems involved. Up to now, this effect has predominantly been analyzed in the case where the carrier-system interactions take the form of ideal unitary operations, thus leaving untested its robustness against either non-unitary or unitary errors. We address this issue by considering the effect of incoherent dynamics acting alongside imperfect unitary interactions. In particular, we determine the restrictions that need to be placed on the interaction time, as well as the strength of the incoherent dynamics. We find that with non-unitary errors, we can still successfully distribute entanglement, provided we measure the carrier in a suitable basis. Introducing imperfections in the unitary dynamics, we show that entanglement gain is possible even with substantial unitary errors. Moreover, certain variations in the strength of the unitary dynamics can allow for greater robustness against non-unitary errors. Therefore, even in experimental settings where unitary operations cannot be carried out without imperfections, it is still possible to generate entanglement between two systems using a separable carrier.
Research on Online Mathematics Teaching in Chinese Colleges

Aims: This paper was carried out to understand the situation and implementation effect of mathematics education and teaching work in colleges under the epidemic situation, grasp the problems and solving strategies in the practical processes, provide new ideas for mathematics education researchers and new inspiration for optimizing online teaching.&#x0D; Methodology: The researcher checked all references that met the research criteria and finally identified 37 papers as research papers and summarized all the achievements by taking notes.&#x0D; Conclusions: It is found that the current research results for college mathematics online teaching can be roughly divided into three types: college mathematics online teaching models and platforms, implementation strategies, and evaluation reflections. (1) Current domestic studies mainly focus on the selection of online teaching platforms and models, the implementation strategies of college mathematics online teaching (including strategies before class, during class and after class), and evaluation and reflection (advantages, limitations, factors and optimization). Previous studies have included many achievements with a certain depth and laid a good foundation for future research. (2) Previous studies have great limitations in the selection of research methods, and lack of empirical research to strengthen persuasiveness and reliability. Secondly, although the predecessors have obtained many results, the depth and breadth are very limited. (3) There is still a lot of room for research on this subject, such as online teaching research for other narrow higher mathematics courses, research on online teaching models suitable for students of different professional categories and ability levels, and establishing a sound evaluation system of blended learning model, etc.
Language lexicons for Hindi-English multilingual text processing

&lt;span lang="EN-US"&gt;Language identification (LI) in textual documents is the process of automatically detecting the language contained in a document based on its content. The present language identification techniques presume that a document contains text in one of the fixed set of languages. However, this presumption is incorrect when dealing with multilingual document which includes content in more than one possible language. Due to the unavailability of standard corpora for Hindi-English mixed lingual language processing tasks, we propose the language lexicons, a novel kind of lexical database that augments several bilingual language processing tasks. These lexicons are built by learning classifiers over English and transliterated Hindi vocabulary. The designed lexicons possess condensed quantitative characteristics which reflect their linguistic strength in respect of Hindi and English language. On evaluating the lexicons, it is observed that words of the same language tend to cluster together and are separable over language classes. On comparing the classifier performance with existing works, the proposed lexicon models exhibit the better performance.&lt;/span&gt;
BUSINESS OPPORTUNITIES FOR NOVICE BUSINESS PEOPLE IN MOMENT CAR FREE DAY KUNINGAN REGENCY WEST JAVA

ABSTRACTThis research is set against the backdrop of the rise of car free day events utilized not only to reduce air pollution, but also as a meeting place between groups of people in sports activities, cultural arts, and economics. As a public space, many businesses are used as a medium to promote the products they create. In this event also brings up budding business people. This research is intended to find out the business opportunities made by novice businesses by using SWOT analysis strategy of IFAS and EFAS matric models. This research was conducted with a quantitative and qualitative approach. This sampling method is probability sampling, with proportional random sampling technique. The data analysis tool used is swot analysis. As a result, budding businesses are taking advantage of opportunities by building permanent businesses instead of just on Car Free Day, innovating, and building networks and using digital marketing to introduce products and also to increase product sales, create products and services that differ from competitors, manage finance and planning and analysis properly and maintain the quality of products they offer to the public.Keywords : Business Opportunities, Strength, Weaknesses, Opportunities, Threats, IFAS, EFAS
Hijab in Hornbill Dance Costume: The Impacts of Religious Social Development in the Post-Modern Era

This study aims to examine the use of the hijab in Hornbill dance costumes in East Kalimantan as part of the influence of social religious development in the Post-modern era.The post-modern era is an era after the modern one.Hornbill dance is originated from East Kalimantan.Being passed down through generations, this dance is a manifestation of the past.This study employed the qualitative ethnography method.The results show that the use of hijab in performing the dance is due to the influence of cultures, technology, and religion in the post-modern era.
TRAINING FUTURE TEACHERS TO USE INNOVATIVE EDUCATIONAL TECHNOLOGIES IN THE CONTEXT OF DIGITALIZATION OF EDUCATION

The article is devoted to preparing future teachers to use innovative educational technologies in the context of digitalization of education. The authors reveal the main goal of innovative educational technologies, conduct a comparative analysis of traditional and innovative teaching methods. Also, based on the research work carried out , it reveals the main features that distinguish innovative activity from innovation-oriented activity: the level of significance of new ideas, the level of changes made; the level of adjustment of its actions. It is stated that in the modern global information society, the most important quality and one of the competitiveness criteria for any specialist is the level of readiness for innovation
METHODOLOGICAL PREPARATION OF FUTURE MUSICAL ART TEACHERS FOR SCHOOLCHILDREN’S NATIONAL CULTURE FORMATION BY MEANS OF FOLKSONG CREATIVITY

The aim of the article is to highlight the key positions of planning the process of methodological training of future musical art teachers, which provides a step-by-step acquaintance with the effective methodological tools for the formation of national culture of schoolchildren by means of folk-song creativity. The study was conducted using the methods of theoretical analysis, induction, modeling of pedagogical situations, generalization of theoretical and methodological recommendations. The research devoted to the formation of methodological and ethnocultural competences of future musical art teachers in the context of practice-oriented activity are analyzed. The algorithm of methodological preparation of students for schoolchildren’s national culture formation is defined. The gradual acquaintance of students with a set of methods aimed at involving schoolchildren in folk-song creativity is substantiated.
Speckle reduction in SAR images based on an adaptive filtering in the frequency domain

Speckle in Synthetic aperture radar images makes grainy effects, because of the coherent imaging system which cause some difficulties in object-oriented processes, like segmentation or classification. Therefore, a lot of methods have been developed for speckle reduction purpose. These methods can be classified but not limited in some approaches, like spatial based, transform based and optimization, which mostly suffer from limitations like edge and texture destruction and also regulating parameter dependence. In this paper a new structure has been presented based on adaptive filtering of the amplitude response of the discrete fourier transform of the image in the frequency space, which not only reduces the speckle but also preserves edges and delicate textures. In addition, it has low level of computation and complexity compared to the kernel dependent spatial approaches. The main contribution of the paper is to fit a predefined analytical function to amplitude response of the discrete fourier transform of the image, in order to recover underlying speckle reduced SAR image. Proposed method, improves equivalent number of looks index 50 percent and edge preservation index 50 and 30 percent for real and simulated synthetic aperture radar images, respectively.
DIGITAL LITERACY IN USING GEOGEBRA LEARNING MEDIA IN TERMS OF SELF-DIRECTED LEARNING

Digital literacy is important to improve the quality of education, especially in mathematics learning which can develop and engage students in exploring the efficient digital world for learning mathematics. The purpose of this study is to analyze the digital literacy of grade VIII students of SMP Negeri 1 Karangrejo in using GeoGebra learning media in terms of self-directed learning. This type of research is descriptive qualitative. The subjects of this study consisted of six students, and the instruments used were lesson plans, self-directed learning questionnaires, student response questionnaires, and interview guidelines. The result of this research shows that digital literacy with students who have high level for self-directed learning are able to fulfill all of indicators for digital literacy including being able to understand instructions for use and how to use the GeoGebra application, explain the information in the GeoGebra application, do the exercises correctly, participate in exchanging ideas with friends and develop their creativity into a new work in the GeoGebra application, students with moderate self-directed learning are only able to meet five digital literacy indicators including being able to understand instructions for use and explain the information in the GeoGebra application, do the exercises correctly, participate in brainstorming with friends and try to develop their creativity into a new work on the GeoGebra application, and students with low self-directed learning are only able to meet two digital literacy indicators including able to understand the instructions for use and be able to do practice questions correctly.