Reviewerly/exHarmony huggingface dataset:
Conceptual basis of the art of “Theatre of Shock”

The purpose of this paper is to develop the fundamental basis of the art of “theatre of shock”, as the art of the highest spiritual and emotional level, as well as to identify the characteristic features and directorial components that provide it.&#x0D; The methodology. We applied the analytic-conceptual and empirical approaches to identify the most energy-intensive artistic means of creating a theatrical product and the most effective directorial tools for influencing the spiritual-emotional sphere of the viewer by creating the highest energy and philosophical and aesthetic level that can bring the audience to a state of shock.&#x0D; The results. For the first time in art criticism, an analysis of the generalization and systematization of director’s tools and ways was carried out, the creation of a “shock” for the creation of theatrical art. The concept proposed by the author crowns the triangle that, together with the art of “dissimulation theatre” and the art of “excitement theatre”, is the technological trinity of theatrical art: dissimulation — excitement — shock. The study conducted by the author gives grounds to conclude that the creation of theatrical performances, belonging to the art of the highest spiritual and emotional level — to the art of “theatre of shock”, is possible if such fundamental components as: sealed module of dramaturgy, “muscles” of play events, scenographic directing, metaphorical vocabulary, means of psychological theater and energy field of actors’ “emission” are embodied in the stage space. The model of the “theater of shock” assumes complete domination over the emotions of the spectator, the deepest immersion in the whirlpool of dramatic events and bringing to a deep trance with a powerful energy field of emission.&#x0D; The topicality. This paper contains such terms as “theater of shock”, “theater of trance”, “scenographic directing”, “molecular directing” are introduced into scientific circulation.&#x0D; The practical significance. Scientific development of ways, methods and means of creating the “theater of shock” as a kind of the most powerful energy and philosophical-typical level can be implemented in the educational process. Along with this presentation the concept of “theater of shock” can have its continuation in the theses of students with degrees in the field of art history, opens the prospect of updating the theatrical palette.
Innovative Delegation Application in Thai National Digital Identity Platform

&lt;span lang="EN-US"&gt;The national digital identity platform is a robust scheme that enables individuals and entities to prove who they are to digitally access critical information or services. However, &lt;/span&gt;&lt;span lang="EN-US"&gt;c&lt;/span&gt;&lt;span lang="EN-US"&gt;urrent digital identity systems do not sufficiently consider delegation between entities from the viewpoint of dynamic authorizers and permissions. This study aims to understand the pain points and expectations of end-users and service providers in the Thai national digital identity platform, to design &lt;/span&gt;&lt;span lang="EN-US"&gt;a dynamic delegation model &lt;/span&gt;&lt;span lang="EN-US"&gt;and develop an innovative delegation application to test user acceptance. The research utilizes semi-structured interviews with 3 digital identity experts, two focus groups, one with 6 service providers, and the other one with 6 end-users. Based on results from the data analysis and conceptual prototype design, validated by experts, the proposed prototype is practical and suitable for developing a digital &lt;/span&gt;&lt;span lang="EN-US"&gt;delegation &lt;/span&gt;&lt;span lang="EN-US"&gt;mobile web application that is convenient, safe, secure, and reliable utilizing blockchain technology under the Thai national digital identity platform. &lt;/span&gt;&lt;span lang="EN-US"&gt;The technology acceptance model&lt;/span&gt;&lt;span lang="EN-US"&gt; was used to test the application acceptance &lt;/span&gt;&lt;span lang="EN-US"&gt;with &lt;/span&gt;&lt;span lang="EN-US"&gt;42 participants&lt;/span&gt;&lt;span lang="EN-US"&gt;. &lt;/span&gt;&lt;span lang="EN-US"&gt;The result reveals that both person and businesses intend to adopt the digital delegation mobile web application.&lt;/span&gt;&lt;span lang="EN-US"&gt; &lt;/span&gt;&lt;span lang="EN-US"&gt;Use cases of the application include users give their power to trusted entities and Government Agency to provide services to the citizens via the authorized delegatee.&lt;/span&gt;
Open Science at KU Leuven

We are proud that Open Science is active and thriving at our university.A very diverse and motivated community of researchers has presented their research and their experience with various aspects of
Comparison between some meteorological elements measured by ECMWF and Earth stations in different regions in Iraq

The aim of this paper is to validate the data of three meteorological elements Air Temperature (Ta) , Relative Humidity (RH), Wind Speed (WS) from the European Center For-Medium Range Weather Forecasting (ECMWF) , against ground stations data using several Models at six stations well distributed in Iraq (Mosul, Kirkuk, Baghdad, Kut, Nasiriya, and Basra).&#x0D; Due to the difficulties which experienced by the ground climate stations in Iraq from a shortage of devices and equipment for measuring the various climatic elements, which led to a huge shortage of data throughout time for political, economic and natural disasters. It is found that researchers can adopt the data of satellite stations to monitor the climate because let’s found that there is a highly significance Correlations between the data of these stations and the data of the ground stations for climate monitoring&#x0D; Five Mathematical Models were used for that [Linear Models, Quadratic Models, Exponential Models, Logarithmic Models, and Power Models]. The performance of these models were evaluated by comparing the calculated (Ta, RH, WS) from earth stations.&#x0D; Those mathematical correlations help to be able to calculate the ground data in state of there is no ground climate stations data.&#x0D; Several statistical tests Correlation Coefficient (R), Coefficient of Determination (R2), Root Mean Square Error (RMSE), Mean Absolute Error (MAE) were used to control the validation and goodness of these Models.&#x0D; The R2 obtained from these Models were very high in all stations. This means that, there is a highly significance Correlations between (Ta, RH, WS) estimated and [Ta, RH, WS] measured in all station
Perancangan sistem informasi penyimpanan data koperasi berbasis web

Cooperation as one of the driving wheels of the economy also require technology in the implementation of their operations. The application of the information system to the cooperation will affect the cooperative's performance. The Tani Makmur Cooperation in Klaten is a cooperative that helps farmers in managing rice fields, but does not yet have a web-based system that can integrate the required information. In this study, a web-based information system was designed that can be used as data storage, using a waterfall model. Data were collected by observation, interviews, and SWOT analysis. The resulting information system consists of the menu Master Data, Transactions, Reports, Settings, Graphics, Backups, and Help. Cooperation members can carry out storage, borrowing and installment transactions through the Transaction menu. The cooperation admin can view all transactions through the Reports menu. The resulting web-based information system can be used to store cooperation data, thereby expediting and accelerating the transaction process for Koperasi Tani Makmur customers and also reducing the risk of data loss..
ANALISIS KESESUAIAN MATERI DENGAN KOMPETENSI PADA BUKU AJAR BAHASA SUNDA â€œPANGANTEUR BASA SUNDA PIKEUN MURID SD/MI KELAS VIâ€

Textbooks have a very important role in the learning process so there is a need for a conformity between the material in the textbook and the competencies in the curriculum. There had been a lot of research on the quality of textbooks. However, there was still a lack of textbooks at the elementary school level. Therefore, research on Sundanese language textbooks at the elementary school level was needed to measure the conformity of the content and the conformity of the material themes. The purpose of this study was to determine the level of conformity of the descriptions of the materials with core competencies, basic competencies &amp; indicators. The method used in this research was descriptive analysis with literature study techniques. The data source was the textbook Panganteur Basa Sunda with 2013 Curriculum SD/ MI Class VI revised by Kanisius. From the results of the analysis, it was found that the level of conformity of (1) material descriptions with core competencies reached 75%, (2) the conformity level of material with basic competencies reached 91.5% and (3) the level of conformity of material with indicators of the competency achievement reached 85%. Thus, overall Panganteur Basa Sunda book had a good category with the level of conformity of the material with the curriculum reaching 84%. However, the conformity of the teaching instructions with the operational verbs was still lacking (72.8%). Nevertheless, overall this book was suitable to be used in Sundanese language learning in grade VI.
The Correlation Between Students’ Vocabulary Mastery and Speaking Mastery

The purpose of the research was to know the correlation between vocabulary mastery and speaking mastery at grade VIII students of SMP N 5 Padangsidimpuan. Type of this research was quantitative research with a correlational method. Based on calculation of the data, the researcher found that the score of rxy was more than rtable 0.737 0,423. It means the result showed that there was a significant correlation between two variables in the good category.
Improvement of Reading Ability Through Image Card Media

&lt;p&gt;&lt;em&gt;This research was aimed to improve reading ability through image card media. This research is a classroom action research&lt;/em&gt;&lt;em&gt; conducted in three cycles. The stages of each cycle are planning, implementation, observation and reflection. The subjects of this research were 22 students of first grade of SD Negeri Krasak 02. The data collection used was tests and observations. Data analysis is descriptive. The pre-action stage was carried out to determine the initial condition of the students, obtained the value of learning outcomes of 56.82. The learning outcomes of the first cycle were 64.77 with classical completeness 59.09%. In the second cycle of 80.22 with 72.73% classical completeness. The learning cycle III showed an increase in the value of 81.82 with a student mastery level of 95.45%. The activities of teachers and students also experienced an increase in each cycle. Based on the findings, it can be concluded that image card media can improve reading skills. Thus the image card media can be used as a medium for teachers in learning activities to improve reading ability.&lt;/em&gt;&lt;/p&gt;
The Influence of Reading Ability and Learning Interests on Learning Outcomes in Elementary School

The goals of this study were to examine: 1) the impact and influence of Reading Ability Level on Student Learning Outcomes, 2) the impact and influence of Learning Interest on Student Learning Outcomes, 3) the impact and influence of Reading Ability Level and Learning Interest collectively on Student Learning Outcomes.The observation and discussion of the research stated that: 1) there was an effect of Reading Ability Level on Student Learning Outcomes; 2) there is an effect of learning interest on student learning outcomes; and 3) there is an influence between Reading Ability Level and Learning Interest simultaneously on Student Learning Outcomes.We hope that this study will give a
Digital Currencies and Relevant Policy Analysis

The paper collates the relations of digital currencies with the past forms of currencies, studies the operating mechanism of digital currencies, analyzes the influence of digital currencies on the financial order and economic pattern, and probes into how to drive the reform of global monetary system with pragmatic and innovative efforts. The paper highlights: First, the evolution and development of currency reflects the mankind’s social and economic development level. Second, digital currency born with the advances of technology does not change the content of credit money. The credit money-to-digital currency shift must respect the operating mechanism of money and ensure that the physical market and the money market are balanced or roughly balanced. Third, with a complicated influence on the social economy, digital currency is unlikely to change the global monetary system and the international economic pattern easily. Fourth, the work of encouraging financial innovation and improving overall financial infrastructure should come with strengthened efforts to develop sound rules governing the market order in the context of digital economy, by guarding against the risks from “excessive monopoly” and “decentralization”. Fifth, the paper calls for linking “trust, confidence and credit” of the human society organically with such intrinsic values as global development, global planning and global resources, and also leveraging such values to actively approach the “Earth-based” monetary system and its replacement of the “gold standard”, the “silver standard” and the sovereign credit based monetary system which have been in long use.
Bayesian Model-Agnostic Meta-Learning with Matrix-Valued Kernels for Quality Estimation

Most current quality estimation (QE) models for machine translation are trained and evaluated in a fully supervised setting requiring significant quantities of labelled training data.However, obtaining labelled data can be both expensive and time-consuming.In addition, the test data that a deployed QE model would be exposed to may differ from its training data in significant ways.In particular, training samples are often labelled by one or a small set of annotators, whose perceptions of translation quality and needs may differ substantially from those of end-users, who will employ predictions in practice.Thus, it is desirable to be able to adapt QE models efficiently to new user data with limited supervision data.To address these challenges, we propose a Bayesian meta-learning approach for adapting QE models to the needs and preferences of each user with limited supervision.To enhance performance, we further propose an extension to a state-of-the-art Bayesian meta-learning approach which utilizes a matrix-valued kernel for Bayesian meta-learning of quality estimation.Experiments on data with varying number of users and language characteristics demonstrates that the proposed Bayesian metalearning approach delivers improved predictive performance in both limited and full supervision settings.
Black-box Probe for Unsupervised Domain Adaptation without Model Transferring.

In recent years, researchers have been paying increasing attention to the threats brought by deep learning models to data security and privacy, especially in the field of domain adaptation. Existing unsupervised domain adaptation (UDA) methods can achieve promising performance without transferring data from source domain to target domain. However, UDA with representation alignment or self-supervised pseudo-labeling relies on the transferred source models. In many data-critical scenarios, methods based on model transferring may suffer from membership inference attacks and expose private data. In this paper, we aim to overcome a challenging new setting where the source models are only queryable but cannot be transferred to the target domain. We propose Black-box Probe Domain Adaptation (BPDA), which adopts query mechanism to probe and refine information from source model using third-party dataset. In order to gain more informative query results, we further propose Distributionally Adversarial Training (DAT) to align the distribution of third-party data with that of target data. BPDA uses public third-party dataset and adversarial examples based on DAT as the information carrier between source and target domains, dispensing with transferring source data or model. Experimental results on benchmarks of Digit-Five, Office-Caltech, Office-31, Office-Home, and DomainNet demonstrate the feasibility of BPDA without model transferring.
Training of teachers of higher education institutions for the use of distance learning technologies in the context of digitalization

This reflective study using exploratory research is based on a hypothesis because that the training of university teachers in the use of distance learning technologies will be effective if: the potential of distance learning technologies at the university has been determined; the essence and content of the notion "readiness of a university teacher to use distance learning technologies" are disclosed, indicators and levels of formation of the components of teacher readiness are determined university to this type of activity; the previous pedagogical conditions have been theoretically identified and experimentally substantiate. The study showed that, when conditions, means and efforts are well oriented, there are consistently satisfactory results in the use of distance learning technologies in the context of digitalization.
The Concept of the Cognitive Cycle in tasks of General Artificial Intelligence

One of the main problems underlying research programs in the field of general artificial intelligence is the problem of the insufficiency of particular approaches and mathematical models. The paper proposes the concept of creating a hybrid artificial intelligence system for solving practical problems of extracting the meaning of a text that implements the principles of the hermeneutical circle. The concept offers a syncretic-sequential combination of connectionist, symbolic approaches, as well as methods of cluster analysis. The concept is based on the idea of creating hybrid, primarily human-machine systems.
System Description for Transperfect

In this paper, we describe our participation in the 2021 Workshop on Asian Translation (team ID: tpt_wat). We submitted results for all six directions of the JPC2 patent task. As a first-time participant in the task, we attempted to identify a single configuration that provided the best overall results across all language pairs. All our submissions were created using single base transformer models, trained on only the task-specific data, using a consistent configuration of hyperparameters. In contrast to the uniformity of our methods, our results vary widely across the six language pairs.
KINERJA METODE MAHALANOBIS DISTANCE YANG DIBENTUK DARI DUA UKURAN PUSAT DAN DUA DISPERSI MULTIVARIAT (UNTUK UKURAN SIMILARITAS KLASIFIKASI IMAGE)

Distance is a space that connects two points or two locations which can be calculated by length and time. Distance is used to measure the similarity of two objects (for example, an image object). An image can be considered to be similar to another image if the similarity size value is small. On the contrary, if the value of the similarity distance between the training object and the object being tested is large, the object can be said to be different or not. In this design, the image classification of Lakes, Forests and Settlements will be carried out by taking the Color feature using the Color Moment extraction method and the Texture feature using the GLCM (Gray Level Co-occurrence Matrix) extraction method and taking the method of calculating the distance between one data and another data that has High similiarity using the Mahalanobis Distance calculation method with two center sizes namely Mean and Median and three multivariate dispersions, namely the covariance matrix formed by the mean center value, the covariance matrix formed by the value of Median, and the covariance matrix formed by the value of Grand Median. From the research conducted, the performance results that can be considered for use are the Mahalanobis Distance with a median center size with a covariance matrix formed by the Median center value with an accuracy of 69.855% and a covariant matrix formed by the Grand Median center value with an accuracy of 69.565%. In this case the percentage is taken from testing images based on color characteristics using the Color Moment extraction method.
COVID-19 Pandemic: Awakening the Call for Paradigm Shifting in the Teaching, Learning, Research and Professional Development

The COVID-19 pandemic has awoken the entire world from its slumber – the highly-industrialised and the less-industrialised, those regarded to be developed and the less developed or underdeveloped in sciences and technologies, the rich/wealthy and the poor-but-rich-in-resources alike. It has shown that it has no respect for the few who belong to the ruling class and political elites – the virus’ attack on the heir-to-the-throne in Britain, Prince Charles, and the British Prime Minister, Boris Johnson, are good examples. International conferences and summits of heads of state and governments are being conducted virtually. Educators and students from primary school to university and college levels are forced to re-skill to teach and learn online and not mainly through contact learning as was the established norm. Contextually, limited electrification hinders access to the internet and digitisation. The emerging norm is no longer going to be the traditional separation of the sciences, technology, engineering and medicine (STEM) from humanities and social sciences. The interface and interrelatedness of disciplines is a requirement in managing and manoeuvring human life through this pandemic, and beyond. There should be more use of multi-discipline and inter-discipline perspectives and approaches of knowledge development and application. This is not a call for the death of mono-disciplines. They remain essential fields of specialisation within broader contexts.
Confluence of Non-Terminating Left-Linear Higher-Order Rewrite Theories

User-de ned higher-order rewrite rules are becoming a standard in proof assistants based on intuitionistic type theory. is raises the question of proving that they preserve the properties of β-reductions for the corresponding type systems. In a series of papers, we develop techniques based on van Oostrom's decreasing diagrams that reduce con uence proofs to the checking of various forms of critical pairs for higher-order rewrite rules extending beta-reduction on pure lambda-terms. As shown in a previous paper of the two middle authors, con uence of a terminating set of le-linear rewrite rules is obtained when their critical pairs are joinable, beta-rewrite steps being disallowed. e present paper concentrates on the case where arbitrary beta-rewrite steps are allowed for joining critical pars. e rewrite relation used for analyzing con uence, called orthogonal, gives rise to critical pairs, called nested, that overlap both horizontally, as with parallel rewriting, but also vertically, forming chains of successive overlaps. is second paper terminates our investigation of con uence in the case of le-linear rules.