Reviewerly/exHarmony huggingface dataset:
Interactive Training Space As A Social University Driver

The aim of the research is to study the problems of interactive space and social interaction in the framework of training for students during their studies at the university. The thesis about the limited socio-pedagogical dimension of group processes in the problem field of higher education, the socio-psychological difficulties of students and the need for their sociological interpretation is argued. Within the framework of the author's sociological research, a characteristic of the real educational practice of higher education is given, the acuteness of the problem posed is proved. The empirical results of a study of the socio-psychological difficulties of students are given, which was carried out on the basis of a quantitative sociological method of questioning and a specific design project of socio-psychological support for students during the period of study was developed. The results prove that for a student who does not have proper experience of professional social interaction, an optimally organized cultural interactive training space, provided that its content is filled with the practical sphere of activity of a future specialist, in addition to resolving social and psychological problems, is also an effective form of professional training. The tendencies objectified in the results of the study give rise to a critical rethinking of a whole complex of problems: from the "slipping" of methods and forms of training students in the era of digital technologies to raising the question of the beginning of recoding the professional education system.
역량중심 초등과학 영재교육 프로그램 지구과학 영역 분석

The Gifted Education Program is re-constructured into core competency-based program in line with fourth industrial revolution, where talented people with comprehensive ability are required. Therefore, competency-based elementary science gifted education program which is provided from Gifted Education Database(GED) is developed in accordance with 2015 revised edition in science and 5 main core-abilities; scientific thinking ability, scientific investigation ability, scientific problem solving ability, scientific communication ability and scientific participation and lifelong learning ability. This research, which is provided from GED, is focused on earth science area among competency-based elementary science gifted education program and analyse quantitatively and qualitatively how science and core-ability is appeared in 3 programs developed in science area. This research can be another guideline when someone would like to use competency-based earth science gifted education program in gifted education. Also, the purpose of this research is to help suggesting a right direction for competency-based earth science gifted education program. The conclusion based on research problem is as follow; Firstly, in competency-based earth science gifted education program, influence rates of scientific communication ability and scientific thinking ability are highest, where influence rates of scientific investigation ability, scientific problem solving ability and scientific participation and lifelong learning ability are relatively low. Secondly, in competency-based earth science gifted education program, single activity may includes several core-abilities. Following research is quite meaningful in aspect of giving out the information to choose topic in core-ability when using competency-based earth science gifted education program in gifted education. Also by supplementing lowly-influenced ability in competency-based earth science gifted education program, it is expected for gifted students to build scientific core-ability.
The Influence of Ciacianese Buton Dialect (CBD) Towards Students’ English Pronunciation

This study was intended to reveal the information on the influence of the Ciacianese Buton Dialect (CBD) towards the students’ pronunciation of English vowels, diphthongs, consonants, and consonant clusters. The study also explained the effort of the teacher in improving the students’ pronunciation. The subjects of this study were eleventh-grade students at SMAN 2 Pasarwajo, Buton regency. This study employed a descriptive qualitative study toward 30 students of grade XI at SMAN 2 Pasarwajo. This study uses several methods in obtaining the data. They are questionnaires, students’ recordings, interviews, and observation. The results of the study describe that the Ciacianese dialect influences the students’ pronunciation of English sounds positively and negatively. Ciacianese dialect gives positive transfer to sounds /e/, /ʊ/, /ɔ/, /ɔ:/, and /ɪ of vowels; sounds /oʊ/, /ɔɪ/, aʊ/, /ɪə/, /ɛə/, /aɪ/, and /eɪ/ of diphthongs; sounds /b/, /d/, /f/, /g/, /h/, /k/, /l/, /m/, /n/, /p/, /ŋ/, /r/, /ʤ/, /s/, /t/, /w/, /j/ and /z/ of consonants; and sounds /nd/, /mp/, /tr/ and /str/ of consonant clusters. Furthermore, Ciacianese dialect gives negative transfer to sounds /i:/, /ɑ:/, /u:/ ae/, /ʌ/ /ə/ and /ae/ of English vowels; sound /ʊə/ of diphthong; and sounds /ʒ/, /v/, /ð/, /θ/, /ʧ/, and /ʃ/ of English consonants. Lastly, since most of the mispronunciation is caused by the lack of pronunciation practice, the teacher should consider providing more spaces for the students to practice the pronunciation.
Robot on the Shoulders of Humans, Artificial Intelligence and Copyright

Recent trends in artificial intelligence development have led to a proliferation of studies on the ability of artificial intelligence systems generate artistic works. Debate continues about the general benefit of society from artistic and scientific works made by artificial intelligence systems. Questions have been raised about infringement of copyright by artificial intelligence. The present article examines the modern approaches to regulation of artificial intelligence and the role of humans in the creation of artistic work. The main purpose of the research is to prevent unfair use of original works created by human and discuss originality in artistic work generated by artificial intelligence. Overall, these studies highlight the needs for the protection of human copyrights in the event of commercial exploitation by artificial intelligence system and the protection of the general public from mass distribution of artificial pseudo-scientific works.
Modern Development Of The Educational Environment Of Higher Educational Institutions

The authors carried out a full-scale analytical study of macroeconomic trends that will influence the development of education systems around the world. We refer to the basic trends: total digitalization and accelerated pace of introducing innovations into the daily life of society, globalization of markets, increased competition, higher education costs, internationalization of education and research, increased mobility and expansion of human opportunities, increased accessibility of education and continuity of education, cognitive revolution, decrease in the growth rate of the quality of education and the benefits that it brings to the student. According to the results of the situational analysis the authors propose marketing tools for solving the identified problems which are dialectically determined by the current stage of the development of the society. The necessity of branding implementation at universities is justified. The hybrid education is supposed to be a suitable variant of education under the pandemic because it allows to form a graduate with skills and abilities which are in demand on the market (firstly, soft skills and emotional intelligence).
"MUSICAL READING": A PEDAGOGICAL APPROACH OF M. F. GNESIN

The article investigates the approach based on "musical reading", developed by music teacher Mikhail Gnesin in the early XXth century. The paper studies the prerequisites, basic provisions and principles of "musical reading" as a highly emotional way of reading a poetic text by note, preserving the nature and specific features of human speech. The author reveals a connection between M. Gnesin's ideas and B. Asafiev's intonational concept. A step-bystep "musical reading" integration into the practical work of theatre actors is considered. The rhythmic reading approach is described and the examples of using various metrhythmic means of musical expression to convey the emotional and semantic content are given. Introduction of speech intonation into music is discussed both in terms of the fixation of the specific characteristics of speech intonation in graphic form and applying this method in practice. The article concludes the prospects of using the method of "musical reading" by the professional theatre artists and arts students (developing speech-based choirs, ensembles and dialogues according to the laws of musical harmony; creating unique speech-and-music works, where human voice with its specific timbre and accompaniment are integral parts of the artistic whole).
Qiskit Optimization Module

The Qiskit Optimization module enables easy, efficient modeling of optimization problems for developers and optimization experts without quantum expertise. It uses classical optimization best practices and masks complex quantum programming.
Image Attack Prediction of Watermarked Images Based on Statatistical Features

In this paper, we have developed an innovative framework for randomly extracting embedded information coefficients when a watermarked image is distorted. In this scheme, we have exploited the effectiveness of machine learning (ML) approach for nonlinearly classifying the inserted information. In this, we have predicted the various predefined attacks on watermarked image by conceptually incorporating these distorted embedded information coefficients in our proposed work. In particulars, we have used varying image statistics to learn these attacks. During the transmission procedure, these image coeffieints are heavely altered by the image processing attacks. In proposed work, machine learning tool random forest is used to predict the type of attacks. In this novel work, we have empirically analyzed that we can restore the extracted image based on the predictions using machine learning approach, here it shows that we can have the better mechanism in obtaining the improved image coeffients than normal procedures. In proposed work, the watermark which is a logo image is inserted in frequency domain (DWT) using existing watermark additive insertion algorithm. Experimental results show that altered image coefficients are well suited for the predicting the attacks, and therefore, it achieves a better alternative for improving the watermarked image features also.
언어 사용역에 따른 보조용언의 사용 양상 연구

Auxiliary combined with endings and particles, forms a single construction and perform various discourse functions to express the speaker's intention at the discourse level. In this study, the usage of 10 high-frequency auxiliary verbs in the corpus was analyzed to discuss the mechanism by which the compositions of auxiliary performs various functions at the discourse level. As a result, it was confirmed that the compositions of auxiliary express various discourse meanings by linguistic factors and non-verbal factors such as language register at the discourse level. The linguistic factors include the grammatical meaning of auxiliaries, sentence ending types, preceding connective endings, prefinal endings, and auxiliary particles. Situational context includes the utterance intention, situation, place, topic, conversation information of the participants(age, gender, status, etc.), and relationships between participants
GERNERMED - An Open German Medical NER Model.

The current state of adoption of well-structured electronic health records and integration of digital methods for storing medical patient data in structured formats can often considered as inferior compared to the use of traditional, unstructured text based patient data documentation. Data mining in the field of medical data analysis often needs to rely solely on processing of unstructured data to retrieve relevant data. In natural language processing (NLP), statistical models have been shown successful in various tasks like part-of-speech tagging, relation extraction (RE) and named entity recognition (NER). In this work, we present GERNERMED, the first open, neural NLP model for NER tasks dedicated to detect medical entity types in German text data. Here, we avoid the conflicting goals of protection of sensitive patient data from training data extraction and the publication of the statistical model weights by training our model on a custom dataset that was translated from publicly available datasets in foreign language by a pretrained neural machine translation model. The sample code and the statistical model is available at: this https URL
SISTEM INFORMASI AKADEMIK BERBASIS WEB MOBILE SEBAGAI TATAKELOLA MANAJAMEN SEKOLAH PADA MTS MIFTAHUL HUDA SUKOREJO

The mobile web-based academic information system makes it very easy to get or access information, so at MTs Miftahul Huda Sukorejo it is necessary to have a mobile web-based academic information system. Because the information has become a necessity for today's society, smartphones are the people's choice to access information on a mobile basis. The research that will be carried out is to design a mobile web-based information system that can run efficiently and effectively and can facilitate information for users. By using the SDLC method, the researcher tries to solve the problem of the academic information system at MTs Miftahul Huda Sukorejo. The design of a mobile web-based academic information system will provide easy information and academic services for parents and teachers at MTs Miftahul Huda Sukorejo
Research Guides: Technology in the Libraries: Software in the Libraries

An overview of technology services and equipment offered by Washington University Libraries.
Work-in-Progress Abstract: WKS, a local unsupervised statistical algorithm for the detection of transitions in timing analysis

The increased complexity of programs and processors is an important challenge that the embedded real-time systems community faces today, as it implies substancial timing variability. Processor features like pipelines or communication buses are not always completely described, while black-box programs integrated by third parties are hidden for IP reasons. This situation explains the use of statistical approaches to study the timing variability of programs. Most existing work is concentrated on the guarantees provided by positive answers to statistical tests, while our current work concerns potential algorithms based on the negative answers to these tests and their impact on the timing analysis. We introduce here one such algorithm, the Walking Kolmogorov-Smirnov test (WKS).
PENGEMBANGAN PENGELOLAAN PEMBELAJARAN TEKNOLOGI INFORMASI DAN KOMUNIKASI BERBASIS EDMODO DI SMP NEGERI 2 SRAGEN

Distance learning or e-learning is a learning system that does not take place in one classroom, so there is no direct interaction face to face between the teacher and students. The platform used to build a distance learning (e-learning), including Edmodo. With Edmodo's platform, it can help teachers to provide learning material online. The cold research objectives achieved include: 1) Describe the initial conditions of ICT learning management in SMP Negeri 2 Sragen, 2) Describe the development of Edmodo-based Information and Communication Technology (ICT) learning management in SMP Negeri 2 Sragen, 3) Describe the feasibility of the learning management model based on Edmodo developed in SMP Negeri 2 Sragen, 4) Describes the effectiveness of management of Edmodo-based ICT learning in SMP Negeri 2 Sragen. The research used is research and development (R&D). The development model used is the Hannafin and Peck Model, with stages: a needs analysis, design, development and implementation. This development model has been conducted limited trials and field trials, where each test is carried out pretest and posttest. The effectiveness of the development of Edmodo-based ICT learning management in SMP Negeri 2 Sragen resulted in an increase in the average value, standard defiation in limited testing in Class IX-C and field testing in Class IX-A and IX-B through paired sample t test application SPSS, so Edmodo is proven to be appropriate.
THE EFFECT OF EXPERIENCE, GENERALIZATION, REINFORCEMENT AND APPLICATION (EGRA) TECHNIQUE TOWARD OF STUDENTS WRITING ABILITY AT EIGHT GRADES OF MTs N 5 MERANGIN ACADEMIC YEAR 2019/2020

This research is motivated by the low of students' ability to write English texts. Based on observations and interviews conducted by a pin on March 19th 2019 in the seventh grade at MTs N 5 Merangin, it is known that there are some problems experienced by students in writing English texts. Problems such as students having difficulty making text based on instructions from the teacher, often confused to start writing, difficulty finding vocabulary, and difficult to arrange words into sentences. In addition, the low of interaction between teacher and student makes students less active.This type of research used by researcher is experimental quantitative research. The type of experimental design that is taken by the researcher is True-Experimental design with the post test only design. This research aims to determine whether there is an effect caused after applying the Experience, Generalization, Reinforcement and Application (EGRA) techniques in students' writing abilities. The research was conducted in July until August 2019. The research subjects were selected by random sampling, so eighth grade A students were selected, amounting to 21 students as the control class and eighth grade B students totaling 20 students as the experimental class. Data collection in this research was conducted by giving tests to students in the form of dialogues based on themes. Based on the results of the analysis conducted by researcher, it can be seen that the average value in the experimental class is 69.06 and the average value of the control class is 48.51. Based on hypothesis testing conducted by researcher using the polled variance formula, then the value of tcount > ttable is obtained. Table is seen based on dk = n1 - n2 - 2 = 39 and significance level (????): 0.05. From the calculation results of tcount is 3,820 and ttable = 1.68488. From the results of this analysis it can be concluded that tcount > ttable or 0.685 > 1.68488, so it is proven that there is effect in student learning outcomes using Experience, Generalization, Reinforcement, and Application (EGRA) techniques compared with conventional techniques.
Industrial Training Report: Shared Facilities Library of Pagoh Education HUB / Nuraina Fatin Adam

Industrial training is one of the compulsory study requirements in order to fulfil students to hold a degree. It is a challenge to anyone who involved on it. I had been chosen to do an internship at Shared Facilities Library. Pagoh Education Hub. I have been there for five months starting from I st August 2019 until 31st December 2019. Shared Facilities Library is a one of the great mechanism for institute of higher education's student in order to acquire and gains a high quality or knowledge. It is also suitable place for Information Management's students to have the practical training. The report of this industrial training consist four chapters which are introduction, organizational information. industrial training activities and industrial training reflection. The main inputs in this report are Chapter 3 and Chapter 4. I will explain in depth activity done within five months here and special project that I have done. Chapter 4 will cover about knowledge gained, personal thoughts, lesson learnt and limitation and suggestion from my perspective.
Towards High Fidelity Monocular Face Reconstruction with Rich Reflectance using Self-supervised Learning and Ray Tracing

Robust face reconstruction from monocular image in general lighting conditions is challenging. Methods combining deep neural network encoders with differentiable rendering have opened up the path for very fast monocular reconstruction of geometry, lighting and reflectance. They can also be trained in self-supervised manner for increased robustness and better generalization. However, their differentiable rasterization based image formation models, as well as underlying scene parameterization, limit them to Lambertian face reflectance and to poor shape details. More recently, ray tracing was introduced for monocular face reconstruction within a classic optimization-based framework and enables state-of-the art results. However optimization-based approaches are inherently slow and lack robustness. In this paper, we build our work on the aforementioned approaches and propose a new method that greatly improves reconstruction quality and robustness in general scenes. We achieve this by combining a CNN encoder with a differentiable ray tracer, which enables us to base the reconstruction on much more advanced personalized diffuse and specular albedos, a more sophisticated illumination model and a plausible representation of self-shadows. This enables to take a big leap forward in reconstruction quality of shape, appearance and lighting even in scenes with difficult illumination. With consistent face attributes reconstruction, our method leads to practical applications such as relighting and self-shadows removal. Compared to state-of-the-art methods, our results show improved accuracy and validity of the approach.
Few-shot Learning: Towards localization and classification of objects

When we have dataset with large number of labelled examples it is easy to perform objectdetection task but, rare object detection from a few examples is a new problem. Metalearninghas been shown to be a promising strategy in the past. However, fine-tuningstrategies have received little attention. We discovered that fine-tuning the last layer ofdetector is a critical task in few-shot object detection. On current benchmarks, such a basicstrategy outperforms meta-learning approaches by about 4 to 16 points and sometimes theaccuracy is doubled when compared to existing methodologies. However, currentbenchmarks are frequently unreliable because of the significant variance in the few samples.To generate consistent comparisons, we change the evaluation processes by choosing varioussets of training examples. The model has been evaluated on three datasets: COCO, LVIS, andPASCAL VOC. Our fine-tuning approach amalgamated with the Ranking based loss functionwhich can be used for both classification and localization is state-of-the-art.
Review topography of sound art

Austrian artist and director of ZKM Center for Art and Media in Karlsruhe, Germany, Peter Weibel (Odessa, 1944), curates a book/catalogue of the mythical exhibition Sound Art, Sound as Medium of Art, that took place between March 2012 and February 2013 in Karlsruhe, with nearly one thousand images of sound art pieces. Along with a very detailed historical trace of sound as a form of art, the book contains different texts and essays about sound and its history written by renowned and iconic figures in art all articulated in five main sections. A very im-portant work for any artist or amateur interested in sound and music.