Reviewerly/exHarmony huggingface dataset:
Tzar cloudy Ivan in thepsychiatric chambers

The article describes a clinical case of patient P., 43 years old, a political activist who conducted extravagant performances in the image of the Tsar, who called for a return to monarchical rule and, in connection with this, was hospitalized involuntarily in a psychiatric hospital. A comparative analysis with the actions of Pyotr Pavlenky and Pavel Krysevich is carried out, the contribution of the psychopathological to the creative activity of representatives of contemporary art is estimated. The validity of the psychiatric diagnoses exposed to patient P., the recognition of his social danger and the validity of the appointment of compulsory inpatient treatment to him are evaluated. It is concluded that freak behavior, presenting itself through actionism, performances and dissent, needs a serious psychological and psychopathological analysis. Often, such dissent becomes a way of self-realization or provocation (trolling), but psychopathology is also capable of hiding behind it. It is stated that this should in no way diminish the social significance and the creative component of the performances and actions of people considered to be freaks. In addition, it is argued that actionism should not be perceived as a socially dangerous act, and there is no reason to imprison a person or send a patient to a psychiatric hospital for compulsory treatment for performances.
Rethinking Coherence Modeling: Synthetic vs. Downstream Tasks

Although coherence modeling has come a long way in developing novel models, their evaluation on downstream applications for which they are purportedly developed has largely been neglected.With the advancements made by neural approaches in applications such as machine translation (MT), summarization and dialog systems, the need for coherence evaluation of these tasks is now more crucial than ever.However, coherence models are typically evaluated only on synthetic tasks, which may not be representative of their performance in downstream applications.To investigate how representative the synthetic tasks are of downstream use cases, we conduct experiments on benchmarking well-known traditional and neural coherence models on synthetic sentence ordering tasks, and contrast this with their performance on three downstream applications: coherence evaluation for MT and summarization, and next utterance prediction in retrieval-based dialog.Our results demonstrate a weak correlation between the model performances in the synthetic tasks and the downstream applications, motivating alternate training and evaluation methods for coherence models.
Variational Hamiltonian Diagonalization for Dynamical Quantum Simulation

Dynamical quantum simulation may be one of the first applications to see quantum advantage. However, the circuit depth of standard Trotterization methods can rapidly exceed the coherence time of noisy quantum computers. This has led to recent proposals for variational approaches to dynamical simulation. In this work, we aim to make variational dynamical simulation even more practical and near-term. We propose a new algorithm called Variational Hamiltonian Diagonalization (VHD), which approximately transforms a given Hamiltonian into a diagonal form that can be easily exponentiated. VHD allows for fast forwarding, i.e., simulation beyond the coherence time of the quantum computer with a fixed-depth quantum circuit. It also removes Trotterization error and allows simulation of the entire Hilbert space. We prove an operational meaning for the VHD cost function in terms of the average simulation fidelity. Moreover, we prove that the VHD cost function does not exhibit a shallow-depth barren plateau, i.e., its gradient does not vanish exponentially. Our proof relies on locality of the Hamiltonian, and hence we connect locality to trainability. Our numerical simulations verify that VHD can be used for fast-forwarding dynamics.
Survei Penggunaan Uji Statistik dalam Penelitian Tugas Akhir Mahasiswa dengan Topik Ergonomi di Prodi Teknik Industri Unika Atma Jaya Jakarta

This study presented a survey results of the statistical tools used by undergraduate university students in Department of Industrial Engineering, Faculty of Engineering, Atma Jaya Catholic University of Indonesia. A number of 26 reports of students’ final project from 2018-2020 was identified and studied. A checksheet form was developed to record the 14 statistical tools used by students consists of descriptive statistics (2 items), inference statistics (10 items), multivariate (1 item) and statistical package used (1 item). The data were analyzed for its frequency and percentage. Results showed that all reports used descriptive statistics to present participant’s demography of their research, as well as the summary of statistics. For inference statistics, the students used a variety of normality test, 2 t-test, anova, equal variance, proportion test, a few nonparametric tests, regression and correlation and multivariate statistics. For statistical package, most students used Minitab (46,2%), followed by SPSS (34,4%) and other such as AMOS, Listrel, PLS(15.4%). Among them, 11.5% used more than one software. In addition, the results of this study could be used to evaluate the contents of the relevant course.
Disrupsi Profesi Akuntan Di Era Revolusi Industri 4.0

This research discusses the disruption of the Accountant Profession in the Era of the Industrial Revolution 4.0, with the aim of analyzing the threats and opportunities of Industrial Revolution 4.0 for the existence of the accountant profession and how to deal with it, in the 4.0 industrial revolution there were very significant changes in various sciences and professions, so that they were able to disrupt the profession. Accountant. This study used a qualitative method with a phenomenological approach, with data collection techniques through semi-structured interviews with both informants. Based on the results of interviews with the two informants, it can be seen that massive use of technology is one of the biggest impacts of disruption. The two informants also expressed the same opinion that the most important thing an accountant must have in the era of the industrial revolution 4.0 at this time is the figure of an accountant who is able to prepare himself to master technology and be ready to face the various changes and technological developments that accompany it.
Semi-Reference Utility Quality Assessment of Sonar Images

In submarine environment, sonar imaging is widely used in detection tasks, since the sonar imaging is independent of illumination. However, the capture and transmission under unstable and elusive underwater acoustic channel would inevitably result in quality degradation of sonar images, which might also impede further processing and applications. To measure this distortion, as well as provide a reliable quality indicator of sonar image enhancement, we propose a sonar image utility quality assessment (SIUQA) with a reduced feature set. Different from traditional metrics, we combine perception- and task-aware features in order to make quality indicators more relevant to underwater tasks. Experimental results show that SIUQA has a superior performance compared with the state-of-the-art semi-reference (SR) quality metrics for sonar images.
In Commemoration of Stanislav Nikolaevich Glazachev, Doctor in Pedagogy, Professor, Honored Worker of Higher Education of the Russian Federation

The paper describes the course of life of recently deceased Stanislav Nikolaevich Glazachev, Doctor in Pedagogy, Professor, Honored Worker of Higher Education of the Russian Federation.
Szemantikus szerepek automatikus címkézése természetes szövegekben

In this study we introduce a machine learning-based approach that can automatically label semantic roles in Hungarian texts by applying a dependency parser.In our study we dealt with the areas of purchases of companies and news from stock markets.For the tasks we applied binary classifiers based on rich feature sets.In this study we introduce new methods for this application area.Having evaluated them on test databases, our algorithms achieve competitive results as compared to the current English results.
Information System Configuration Based On Sentence Similarity (Case Study: Islamic Boarding School ERP)

Information systems are an organized combination of people, software, hardware, communication networks and data sources in the collection, replacement, and collection of information in organizations. This configuration is required in a boarding school information system that uses SOA (Service Oriented Architecture). The configuration of the boarding school information system is based on a boarding school job description that is calculated in terms of the similarity of sentences with the business process model. Calculating the similarity of words is calculated using Word Similarity for Java (WS4J) using three semantic similarities namely wu palmer, lin, and path. From this calculation, the results of the business process model will emerge. In this study, the effect of similarity sentences in the job description of the cleanliness section is compared with the security section of the Islamic boarding school displaying that sentence similarities is almost similar, although in some job descriptions they still have a far different value for similarity.
TECHNOLOGY OF COMPETENCE FORMATION IN THE FIELD OF PROTECTION AND PROTECTION OF TEACHERS 'INTELLECTUAL PROPERTY RIGHTS IN THE PROCESS OF QUALIFICATION IMPROVEMENT

The paper presents a theoretical justification of the technology of competence formation in the field of protection and enforcement of intellectual property rights of teachers of general secondary education in the process of professional development. This technology is aimed at forming a base of knowledge, skills and abilities in the field of intellectual property, which will teach teachers to perceive the results of their own innovative activities as an economic product that can benefit, promote compliance with the rules and regulations of academic integrity in teaching.The outlined technology involves the implementation of five stages: preparatory-diagnostic, motivational-target, cognitive-orientational, activity-operational and control-evaluation.The preparatory and diagnostic stage of the technology consists in carrying out a set of diagnostic actions to determine the state of formation of competence in the field of intellectual property at different stages of professional development to ensure its effective formation.Motivational and target stage of teacher training technology in the field of protection and protection of intellectual property rights is based on information obtained at the preparatory and diagnostic stage, and is to develop a hierarchy of objectives and presentation of learning outcomes aimed at developing teacher competence in the field of protection and protection of rights intellectual property.During the cognitive-substantive stage of in-service teacher training in the field of protection and protection of intellectual property rights, a meaningful part of the process of forming competence in the field of protection and protection of intellectual property rights of teachers in the process of in-service training is realized. courses according to our goals and objectives.The activity-operational stage of the technology of advanced training of teachers in the field of protection and defense of intellectual property rights aims at the direct formation of knowledge, skills, abilities and professional qualities in the field of intellectual property of teachers of general secondary education. The control and evaluation stage of the technology of in-service training of teachers in the field of intellectual property involves the creation of a system for assessing the degree of formation of competence in the field of intellectual property of teachers based on the results of in-service training.
An Innovative Teaching Method and Its Practical Applicability - Focus on the Playful Interaction Among the Students

The research related to innovation has been in a focus of academics for a long time.In the current study, the authors present the positive benefits of applying an innovative teaching method, based on primary research, applying a questionnaire-based survey.The innovative teaching methods may significantly change the traditional lessons.The questionnaire was completed anonymously in October 2019 and February 2020.Evaluated sampling as a form of non-random sampling was applied.There were 236 questionnaires evaluated after the application of the simulation software.We used SPSS to analyze the obtained data.The defined research question was: Is it possible to form different groups based on playful interaction among students?The Ward-method, as a hierarchical method was used for cluster analysis.We finally decided on two-cluster solution: cluster 1 called as a cluster of playful learning students and cluster 2 as a cluster of "uninterested negatives".Novel methods in education play an essential role in the Slovak education system.
Informatization of Education. Media Education and Media Literacy

Recent studies have shown that education in the 21st century cannot be imagined without using information and communication technologies, digital and media tools. As a result of teachers’ training, it has become clear that there is a need to promote teachers, ICTs, media education and media literacy.&#x0D; The article presents the informatization of education, which will promote the development of professional abilities and skills of teachers, lecturers, raising public awareness and improving the quality of education.
RELATIONSHIP BETWEEN FOREIGN DIRECT INVESTMENT AND STOCK MARKET DEVELOPMENT IN A SMALL SOUTHERN AFRICA ECONOMY

This paper investigates the relationship between foreign direct investment and stock market development in a small southern African economy. Specifically, the paper analyses long-run, short-run and causal relationships between foreign direct investment and stock market development in Eswatini for the 1990 to 2018 periods. Results of preliminary analyses of the variable show existence of positive skewness, fat-tailed, non-normal distribution, and I(1) order of integration for the foreign direct investment and stock market return series. Estimates from the ARDL model indicate evidence of a positive and statistically insignificant long-run relationship between foreign direct investment and stock market development in the kingdom of Eswatini. But in the short-run, there exist no relationship between foreign direct investment and stock market development in Eswatini. Estimates from Granger causality test do not show any evidence of causal relationship between foreign direct investment and stock market development in Eswatini. We recommend amongst others that capital market authorities should establish measures to increase the number of listings in the market so as boost investment options. In addition, there should be massive domestic investor-education on benefits of financing projects with a combination capital market funds, which has long-term tenor, and money market funds, which are of short-term nature.
ERROR MANAGEMENT AS A COMPONENT OF THE CORRECTION OF THE RESULTS OF LEARNING WITHIN THE MATHEMATICS LESSONS SYSTEM

An important component of correcting students' learning outcomes in mathematics is to eliminate errors and gaps in their knowledge and skills. The analysis of scientific research has allowed to identify the approaches to studying students' mathematical errors and to carry out their group distribution (into the corresponding sections of the program, in accordance with the certain types of educational activities, due to external circumstances of their detection, the peculiarities of psychological activity of students, causes of occurrence). The main causes of mathematical errors made by students that was discovered during the research are psychological, methodological, and other specific causes, conditioned by the peculiarities of mathematics as an educational subject.&#x0D; In the process of development of methods for correcting the results of students' training in mathematics, the classification of errors as situational and systemic was taken into account. Situational errors indicate students' lack of knowledge of particular facts or inability to perform particular operations, while system errors indicate significant gaps in the knowledge and skills of students, lack of understanding of general methods of working with mathematical objects or the lack of a general vision of the educational material. Methods and means of correction were defined and clustered into 4 groups according to the situation and the subject of correction.&#x0D; The article reviews didactic models of basic mathematics lessons in the context of correction of students' knowledge and skills. The characteristics of each lesson contain a detailed description of the main didactic characteristics of the type of correction, adapted to the specifics of teaching mathematics.
AN IMPROVED ESTIMATION MODEL FOR SOFTWARE SYSTEM PROJECTS

Estimation model is key factor to calculate the size of project and in turn estimate the efforts.Based on these efforts project commitment can be provided.However, there is no accurate model which can predict exact size and efforts in new generation projects which are based on agile development methodology.In earlier days of project development methodology were of conventional types where requirements were almost freeze at the start and waterfall model was good to serve the purpose.But in today's scenarios market changes very fast and development needs are changed accordingly so the agile development is need of the era.The user story estimation approach is very much acquainted for agile development and serve the purpose.Estimations are fairly good with the user story approach, also phase delivery life cycle model leverage the advantages of phase wise estimation.To summarize the context, phase wise project lifecycle and phase wise estimation model provides and improved estimation model where the productivity is also based on the actual results of previous projects.
Analog Document Search Using CRNN and Keyphrase Extraction

There seems to be a peculiar trend in the way information is now used, moving to digital media not just for the newspapers but for books as well.With advances in Optical Character Recognition (OCR), Style Transfer Mapping (STM), and efficient key phrasing, we are now able to digitalize the document to a form that can be read across multiple platforms and searched efficiently.It provides users with the ease of searching for relevant documents without the tedious process of manual searching.We propose a system that uses the CRNN model to detect English characters in the document with high accuracy.We then pair it with a hybrid keyphrasing technique, which uses Positional Rank as its Graph based rank and re-rank the key phrases using the C-Value method.This process allows us to automatically digitize the printed document and summarise it to provide high-quality keyphrases, which can be used to efficiently search and retrieve relevant printed documents.
Needs Analysis of the Mandarin Study Program Graduates’ Competency

This study aims to describe the expected competencies of the Mandarin Study Program's graduates and to analyze their job opportunities.The research design used in this study was a qualitative case study.The subjects of this study were four tourism practitioners and four vice-principals of curriculum.Data were collected through online interviews and document analysis.The interview guide was used as the research instrument.The collected data were analyzed through stages: data classification, data presentation, data interpretation, and drawing conclusions.The results showed that a) there were four main expected competencies of the graduates: professional competence, personal competence, social competence, and pedagogical competence; and b) job opportunities for graduates of the Mandarin Study Program are as tourism practitioners, front liners/customer service agents, translators, teachers, and marketers in industries/business.
INFORMATION SYSTEM FOR INVENTORY OF GOODS USING PROTOTYPE MODEL

Inventory management is the most important activity, because if the inventory in the warehouse is not managed properly, it will allow a decrease in profits and loss of customers. PT Andalan Teknik Karetindo Putra Bangsa has weaknesses in its inventory management activities, where the presentation of the information is done manually, namely through the process of recording in a book, then transferred to the Speedsheet application. Sometimes the data submitted is inaccurate, that is, there are still errors regarding the stock of goods. In this research, we used a prototype software model.. Making this website is made to overcome these problems and to increase the effectiveness and efficiency of company performance. Where we make 2 level access rights, namely for warehouse staff and company leaders. With this website, warehouse staff can quickly and accurately find out the availability of goods and leaders can immediately find out the stock of goods available in the warehouse and can immediately print inventory reports without having to ask to the warehouse
Dataset and Network Structure: Towards Frames Selection for Fast Video Deblurring

Beyond the underlaying unrealistic presumptions in the existing video deblurring datasets and algorithms which presume that a naturally blurred video is fully blurred. In this work, we define a more realistic video frames averaging-based data degradation model by referring to a naturally blurred video as a partially blurred frames sequence, and use it to build REBVIDS, as a novel video deblurring dataset to close the gap between naturally blurred and synthetically blurred video training data, and to address most shortcomings of the existing datasets. We also present DeblurNet, a two phases training-based deep learning model for video deblurring, it consists of two main sub-modules; a Frame Selection Module and a Frame Deblurring Module. Compared to the recent learning-based approaches, its sub-modules have simpler network structures, with smaller number of training parameters, are easier to train and with faster inference. As naturally blurred videos are only partially blurred, the Frame Selection Module is in charge of selecting the blurred frames in a video sequence and forwarding them to the Frame Deblurring Module input, the Frame Deblurring Module in its turn will get them restored and recombine them according to the original order in a newly restored sequence beside their initially sharp neighbor frames. Extensive experimental results on several benchmarks demonstrate that DeblurNet performs favorably against the state-of-the-art, both quantitatively and qualitatively. DeblurNet proves its ability to trade between speed, computational cost and restoration quality. Besides its ability to restore video blurred frames with necessary edges and details, benefiting from its small size and its video frames selection integrated mechanism, it can speed up the inference phase by over ten times compared to existing approaches. This project dataset and code will be released soon and will be accessible through: <uri xmlns:mml="http://www.w3.org/1998/Math/MathML" xmlns:xlink="http://www.w3.org/1999/xlink">https://github.com/nahliabdelwahed/Speed-up-video-deblurring-</uri>
METODE CONDITIONAL AUTOREGRESSIVE DALAM ANALISIS PENYEBARAN KASUS PENYAKIT TUBERCULOSIS

This research discusses the use of CAR model in finding out factors that significantly influence TBC transmission and figuring out its transmission patterns in Gorontalo city. The methods apply CAR model aiming to discover factors that significantly influence TBC transmission and Moran's Index aiming to identify its transmission pattern Findings reveal that the number of impoverished population and highlands in Gorontalo city are factors that significantly influence disease transmission The transmission patterns also indicate positive spatial autocorrelation that signifies a similar category among sub-districts