Reviewerly/exHarmony huggingface dataset:
Proof-of-Equality: Fairness Ensured Consensus Mechanism for Blockchain Technology

Blockchain technology has become a great deal of attention with the rapid growth of smart terminals in recent years. Each part of the technology has an important role, too; underlying distributed network, miners, consensus algorithm, smart contract, to name a few. The consensus algorithm is very vital in blockchain technology as it ensures all the miners to adhere to the agreement made among them. If the consensus algorithm has some flaws, it may affect the complete blockchain ecosystem itself. Thus, the success of blockchain technology depends on the strength of the consensus algorithm in the blockchain technology. The consensus algorithm suffers from different flaws such as 51% attack, unfairness, starvation, high utilization of resources, high cost, etc. Thus, with an increasing threat to the consensus algorithm, in turn to the blockchain system, trusting this technology has become very complicated. Hence, in this article, a novel consensus algorithm, referred to as Proof-of-Equality (PoE), has been designed and developed, which tries to balance different parameters of a consensus algorithm. The main objective of PoE is to bring fairness among the miners. In PoE, the selection of miners is made by considering two parameters, namely stake and waiting time. Accordingly, a new function has designed for miner selection in PoE. Ensuring the fairness among miners, as considering factors of power consumption, monotony, and starvation, the experimental results of PoE demonstrate better results when compared to classical Proof-of-Elapsed Time (PoET) consensus algorithm.
Analysing the Second Semester Students’ Ability in Toefl Listening Comprehension

The aim of this research is to find out the second semester students’ ability in TOEFL Listening Comprehension at Sekolah Tinggi Bahasa Asing Cipto Hadi Pranoto. The method applied is the descriptive qualitative research. It revealed that the students’ ability to Longman Introductory Course Book by Deborah Phillips for TOEFL Test show the level of difficulties in Part A (short conversation) is 75 % comprising from 55 % moderate, in skill 1(restatement), skill 2 (expression of negative sentence), skill 3 (suggestion) and skill 6 (the expressions of agreement), 18 % easy in skill 5 (identifying occupation, location). However the problematic aspect in Part A is 2 % difficult to comprehend skill 4, passive statements, in Part B proves that the students’ comprehension of skill 7 (anticipating questions) is 20 % easy, and skill 8 (anticipating topics or main ideas) is 2 % moderate, in Part C shows that 11 % considered moderate to comprehend skill 11 (anticipating topics or main ideas), and 11 % easy to comprehend skill 10 (anticipating question). However, the problematic aspect in Part C is 2 % difficult to comprehend skill 12 (the order of the answer).
Rx TimeMachine: A global pseudoprospective earthquake forecast database for training and ranking predictive algorithms

&amp;lt;p&amp;gt;Recent advances in machine learning and pattern recognition methods have propagated into various applications in seismology. Phase picking, earthquake location, anomaly detection and classification applications have benefited also from the increased availability of cloud computing and open-source software libraries. However, applications of these new techniques to the problems of earthquake forecasting and prediction have remained relatively stagnant.&amp;lt;/p&amp;gt;&amp;lt;p&amp;gt;The main challenges in this regard have been the testing and validation of the proposed methods. While there are established metrics to quantify the performance of algorithms in common pattern recognition and classification problems, the earthquake prediction problem requires a properly defined reference (null) model to establish the information gain of a proposed algorithm. This complicates the development of new methods, as researchers are required to develop not only a novel algorithm but also a sufficiently robust null model to test it against.&amp;lt;/p&amp;gt;&amp;lt;p&amp;gt;We propose a solution to this problem. We have recently introduced a global real-time earthquake forecasting model that can provide occurrence probabilities for a user defined time-space-magnitude window anywhere on the globe (Nandan et al. 2020). In addition, we have proposed the Information Ratio (IR) metric that can rank algorithms producing alarm based deterministic predictions as well as those producing probabilistic forecasts (Kamer et al. 2020). To provide the community with a retrospective benchmark, we have run our model in a pseudoprospective fashion for the last 30 years (1990-2020). We have calculated and stored the earthquake occurrence probabilities for each day, for the whole globe (at ~40km resolution) for various time-space windows (7 to 30 days, 75 to 300 km). These can be queried programmatically via an Application Programmable Interface (API) allowing model developers to train and test their algorithms retrospectively. Here we shall present how the Rx TimeMachine API is used for the training of a simple pattern recognition algorithm and show the algorithm's prospective predictive performance.&amp;lt;br&amp;gt;&amp;lt;br&amp;gt;Nandan, S., Kamer, Y., Ouillon, G., Hiemer, S., Sornette, D. (2020). &amp;lt;em&amp;gt;Global models for short-term earthquake forecasting and predictive skill assessment&amp;lt;/em&amp;gt;. European Physical Journal ST. doi: 10.1140/epjst/e2020-000259-3&amp;amp;#160;&amp;lt;br&amp;gt;Kamer, Y., Nandan, S., Ouillon, G., Hiemer, S., Sornette, D. (2020). &amp;lt;em&amp;gt;Democratizing earthquake predictability research: introducing the RichterX platform&amp;lt;/em&amp;gt;. European Physical Journal ST. doi: 10.1140/epjst/e2020-000260-2&amp;amp;#160;&amp;lt;/p&amp;gt;
THE RIGHT TO PRIVACY IN THE AGE OF PANDEMICS “A STUDY IN GERMAN AND EUROPEAN LAW”

The right to protection of personal data arises where personal data requires processing, usage ad storage. It is therefore a process requiring extracting of personal data from an individual and processing it without infringing on the person’s rights to protection of data as well as privacy. Contact tracing technology is used at the time of epidemics, and it is a technique by which people can be monitored to find out their interactions with a person who has tested positive for a specific infectious disease. This process was previously done as a means of managing infectious diseases so as to shorten the response time. Specifically, for the Covid-19 pandemic, the process has been digitized across the globe. In dealing with covid-19, the state should take into consideration the need to balance between the right of individuals to good health and the right to protection of data as contact tracing and following up on infections is paramount in managing the corona virus pandemic. This can be through setting out legislation that limits the use of information collected for the purposes of corona-virus for that limited purpose in the required institutions. Since Coronavirus is an emerging problem, more needs to be done in terms of research to understand how to deal with it effectively and in balance while protecting the rights and freedoms of individuals. The Paper discuss the legal principles on the right to personal privacy in both Germany and the European Union, through a comparative study between European Union General Data Protection Regulation (GDPR) which came into force on 25th May 2018, and German Federal Data Protection Act (BDSG) of 30 June 2017, amended by Article 12 of the Act of November 20, 2019. it will delve deeper on the relationship between the protection of personal data and other fundamental rights and freedoms.  Lastly it studies the balancing between measures that could help track and contain the virus while safeguarding the privacy of individuals.
3d-mapping as a synthesis of technology and art: genesis, evolution, and relevance in the modern world

The purpose of the article is to identify the features of the formation of projection mapping as a synthesis of technology and art; consider the specifics of development and trends in the use of 3D-mapping technology in historical retrospective. Methodology. To achieve this goal and solve the problems caused by it, an integrated approach to studying the genesis of video mapping, as well as methods of modern art history, in particular, the historical method (to study the features of using video projections in the space of social art in retrospect) was applied; evolutionary method (to consider the dynamics of the development of video mapping as a synthesis of art and technology); typological method (to identify the features of using 3D-mapping, in accordance with the specifics of modern multimedia technologies) and other. Scientific novelty. The formation and development of 3D Video Mapping, as a unique direction in audiovisual art, is investigated; The features of the use of media technologies in the second half of the XX - beginning of the XXI century are revealed and characterized; the evolution of video mapping at the present stage and the specifics of the use of projection mapping in innovative multimedia technologies of the present, in particular the augmented reality space, are examined. Conclusions. The history of world art shows that innovative artists have always relied on innovative methods, tools, and materials, in order to express their creative vision. At the present stage, 3D Video Mapping operates in accordance with the specifics of the modern space of social art and media landscape. However, digital culture and new media are only typical for the end of the XX - beginning of the XXI century. the background of this art form, which actually has a long cultural tradition. At the present stage, video art can be created and displayed on the screen by adding various interfaces and instruments as part of the production or installations. Video installations of the beginning of the XXI century form the relationship between space (external or internal walls of buildings, stage space, etc.) and materials that are video-louvered and displayed on a specific surface. In accordance with the specifics, space plays an active role in the process of demonstration and recognition of innovative art forms in public space.
Real-time Facemask Recognition Using Deep Learning

The investigation of PC vision is especially fascinating because of the worldwide plague COVID-19 to improve general well being administrations. At the hour of death, the disclosure of a little item is a difficult assignment of taking a gander at a PC, as it catches the division and revelation under the video picture. Contrasted with other item disclosure profound neural organizations have shown the revelation of supported articles by acquiring a higher veil. Nonetheless, admittance to the proposed framework is covered by an uncommon point that absolutely occurs with regular infections individuals profit by. Added to completing a face cover well, which estimates constant execution corresponding to an incredible GPU. Test outcomes showing a regular misfortune are 0.0730 in the wake of preparing 4000 ages. Subsequent to preparing 4000 focuses, ages mAP 0.96. This exceptional face concealing framework gets visual yield with 96% separation and identification affectability.
Archaeology on the Air: Radio and Archaeology in Sweden 1925-1950

This paper is an exposition of a rather unusual material in our discipline, the radio broadcasts on archaeology in the 1930s and 40s. They have been analysed using the criteria formulated by Carl-Axel Moberg for studying the mediation of our discipline; who, how, what, why and to whom. The results show that most speakers were well-educated men, and that four major themes can be distinguished in their programmes. Along with experts from many other disciplines, they joined in the huge modemization project of this period in Swedish history, in which the radio played an important part. Finally, it is argued that studies of the processes surrounding the mediation ofarchaeology are necessary for an understanding ofthe changing relationship between pro fessionals and the public. Such studies might also benefit future analyses of the use of arguments based on conceptions of prehistory in public debate.
REINFORCEMENT STRATEGIES EMPLOYED BY THE ENGLISH TEACHERS AT JUNIOR HIGH SCHOOL 17 KOTA JAMBI

Reinforcement is any response both in verbal and non verbal which modift students’ behavior in order to give feedback on their behavior either as a support or correction (Uzer Usman, 2005). This study focuses on investigating the kinds of reinforcement employed by English teacher at Junior High School 17 Kota Jambi class VIII. Researcher used qualitative method. The researcher also took 2 teachers who teaching in VIII class of Junior High School 17 Kota Jambi as the subject of the study. Techniques of collecting the data were interview and observation. In supporting the data was the observation of 2 English teachers. The result of research showed that the teachers gave both of verbal and non-verbal reinforcement during teaching English in class, such as Verbal reinforcement: Word reinforcement and Sentence reinforcement. Also Nonverbal reinforcement: gesture, proximity, activity and token/symbol. It also proved that giving kinds of reinforcement create good athmosphere into the class.
Why You Should Know and Not Only Use Sorting Algorithms: Some Beautiful Problems

In most programming languages, the built-in (standard library) sort() function is the most convenient and efficient way for ordering data. Many software engineers have forgotten (or never knew) the underlying algorithms. In programming contests, almost all of the tasks involving sorting can be solved with only knowing how to use the sort() function. The question might arise in young students: do we need to know how it works if we only need to use it? Also, why should we know multiple efficient sorting algorithms, is not one enough? In this paper, we help the teachers to give the best answers to these questions: some beautiful tasks where the key to the solution lies in knowing a particular sorting algorithm. In some cases, the sorting algorithms are applied as a surprisingly nice idea, for example, in an interactive task or a geometry question.
Professor Slavin and the Development of Evidence-Based Education in China

In the new century, the quantity and quality of empirical education research in China have been greatly improved, and more people are paying attention to and engaging in evidence-based research and practice in education. In this context, Professor Robert Slavin, a well- known expert in evidence-based education at Johns Hopkins University in the United States, contributed greatly to the guidance and assistance to the development of evidence-based education in China. He clarified some vague understandings of Chinese scholars on the research and reform of evidence-based education, trained and instructed Chinese scholars and students, and built a platform for exchanges between Chinese and foreign scholars, which has played an inestimable role in promoting the development of evidence-based education in China.
Environmental Safety Monitoring System Based on Microservice Architecture and Machine Learning

The monitoring systems of various industries have various types and different structures. There are problems of “data chimney” and “information islands”. Monitoring data is difficult to be effectively utilized and cannot provide reliable data information to support for environmental security. In this end, an environment monitoring system based on micro-service architecture is designed. The information management and automatic monitoring business systems are unified into a flexible, robust and efficient system platform to adapt to the big data analysis and the mining applications. Using Hadoop to build environment monitoring big data platform, distributed storage, selective extraction and efficient calculation of the massive environment monitoring data can be achieved. By integrating the detection and monitoring data of the ecological environment and in-depth mining it, a neural network model is established to automatically identify potential safety hazards and recommend corresponding treatment measures, so to assist in the comprehensive research and scientific decision-making of environmental safety and promote intelligent management of safety.
SMART TRAINING AS A NEW APPROACH IN THE SYSTEM HIGHER EDUCATION

The article discusses the concept of "SMART education". The article provides a justification for the significant impact of information technology development on the requirements for the content and quality of education in universities. The main directions and experience of work on the implementation of SMART education in JSC "international University of information technologies" (IIT) are given. It is shown that one of the main ways of implementing SMART education is the use of digital technologies in all spheres of the university’s life. It is with the help of Smart-training that the conditions are created for the implementation of the declared thesis of UNESCO “education for all” and “Life Long Learning”. Various technological solutions for the education sector that are positioned as smart are analyzed, these include the following: smart boards, smart textbooks, smart projectors, software for creating and distributing educational content that is interactive and communicative in nature.
ORGANIZATION OF INTERNAL SCHOOL MANAGEMENT IN THE CONDITIONS OF UPDATING THE CONTENT OF SECONDARY EDUCATION

The implementation in the Republic of Kazakhstan of the updated content of secondary education has revealed several problems associated with improving the managerial functions of school leaders. An updated education system requires a new management paradigm, new management methods and the introduction of modern management theory. This article discusses the relevance of the problem of the formation of readiness of school principals to the new requirements of the 21st century. The article also presents the results of a pedagogical study devoted to various types of intra-school control, competencies and skills of school principals.
Improving Academic Skills on Freshmen Student Performance in Mastering Learning Skills

This study aims to describe the capacity of students' learning skills, provide and develop problem-solving learning skills, prepare appropriate modules that are used by students, and encourage counseling and learning development units. The method used in this action research is a qualitative research design. The research technique was carried out by using a case study approach and observation. The results showed that the students' mathematical abilities ranged from 26-50 (57.14%). Only 14% (11.43% + 2.86%) of AgtSP students have capacities in basic mathematics. Learning skills, for example, reading and writing, had lower AgtSP values, namely 37.14% and 34.29%. AgtSP is still dominated by Papuan students (86%) and a small proportion of non-Papuan students (14%). Many students enrolled in AgtSP graduated from Social Sciences (38%), some graduated from Agricultural High School (33%), and a few graduated from natural sciences 21%) and a small number of students graduated from Non. Agricultural Senior High School, namely administration interest. Student GPA has increased in the number of students who have GPA scores. 23 components affect student learning skills at the university level as experienced by AgtSP. The conclusion is the low scores obtained by mathematics, reading, and writing students enrolled in the Faculty.
Solar Radiation Prediction in India by using an ANN Technique

The paper examines the pattern of solar radiation in an altered purpose sequence and approximation the fault for every task. The revision targets forecasting the extreme solar energy generation per month in India, the pattern of solar radiation energy with sunlight hours, and the month with the highest solar energy radiation. The ANN method is used to predict solar radiation. The Artificial Neural Network (ANN) proper tool is used for the forecast of solar insolation. Solar insolation(radiation) information from 12 Indian stations with diverse climatic situations is used for instruction and test the ANN. The LM algorithm is used in this examination. The outcome of ANN representation is compared with calculated information based on MBE and RMSE. It is initiate that root mean square error (RMSE) in the ANN method vary 0.0486-3.562 for the Indian region.
On the Inheritance Strategy of Excellent Chinese Traditional Culture of Overseas Chinese under the Background of Network Teaching

In order to better help overseas Chinese students master this communication tool, inherit culture, maintain their cultural habits, and keep the root of overseas Chinese, we deeply study a series of strategies of Chinese online teaching, in order to better help them maintain their national characteristics. Starting from the difficulties faced by overseas Chinese in inheriting Chinese excellent traditional culture, this paper takes festivals, totem beliefs, diet and other traditional culture as examples to analyze the inheritance strategies of overseas Chinese excellent traditional culture under the background of network teaching.
Roadmap Development For Cloud Technology Implementation In Animation Industry (A Case Study)

Animation industry in Asia is emerging with the growing demand of animation content following the ever increasing adoption of new OTT channel.Following the growth, animation studio has continuously seek a way to increase their competitive advantage by leveraging lower labor cost, opening satelite studio, new technology, or outsourcing production method.However, these CAPEX solution provide limited flexibility for the studio to adapt to various project specification which reduce production efficiency.Therefore, Cloud technology which boast OPEX solution is a novelties which offer not only efficiency but flexibility to animation production.This paper will follow a case study of an animation studio from company strategic analysis, roadmap development using CMM (Cloud Maturity Model) framework, and business case comparison with TCO (Total Cost of Ownership).The finding not only see the potential benefit of cloud implementation in animation industry but open up new business model possibility for the industry as well.
EHR using Blockchain

Traditionally and as of today, patient’s health information is stored on organization owned centralized database. The current system seems fine at first but has some serious underlying issues. Some of the issues are that the system is not patient centric, seamless data sharing is not possible, inconvenient for patient, etc. To summarize, the one who stores the data owns the data. So, it is evident that there is a need for a system which is more patient oriented. Such system can be developed by using blockchain. Since the nature of blockchain is decentralized, EHRs when stored on a blockchain will take the ownership of data away from the hospitals and will put patients in control of the data. Ethereum based decentralized application can be developed to store patient’s confidential medical information in a distributed way. The application will store patient’s data in an encrypted format to provide additional layer of security and will also overcome the drawbacks of public blockchain.