Reviewerly/exHarmony huggingface dataset:
PCET Calculator ,Education 4.0 Calculator (version 1)

The Fourth industrial revolution like the developments of robots, AI and automation seem inevitable and technical tools have had a major impact on advanced mathematics teaching and mathematics learning. Educator and researcher must think to create a new Technical tools to help mathematics teaching and mathematics learning for the needs of the AI age. Today's online calculators and math applications, photo math applications and calculators contain only the knowledge already stated in the book such as the sine and cosine rule. However, some areas of mathematics today are not complete, which leads to a certain field where some of the same questions are difficult to solve or cannot be solved. As example, We realize that Math Portal is able to tackle problems that can be solved directly by sine rule or cosine rule. But when given problem with 2 sides and an included angle, if we use Math Portal to find other non-included angle, Math Portal will show error. Therefore, a new Technical Tool for solve this problem with complete design is needed today to help teach and learn in higher education, which is the main goal of the creation of PCET calculator. The PCET calculator design covers some future knowledge like Peter Chew rule that has not yet been covered in any textbook as of today. Peter Chew rule is created to solve the problem mention directly as complement rule of topic solution of triangle. PCET calculator having special functionalities, uses future knowledge in PCET calculator design such as Peter Chew Rule[[Chew, Peter, 2019]], Peter Chew Method [[Chew, Peter, 2019]] and Peter Chew Theorem[Chew, Peter, 2021]]. it make PCET calculator can solve problem some which currently cannot be solve by Today's online calculators and math applications, photo math applications and calculators. Another goal of the PCET calculator is to help students to gain interests and promote effective learning in mathematics by mathematical game.
Blockchain and Bitcoin Security in IT Automation

In recent days, the technologies referred to as Block-chain and Bitcoin have gained much interest from society. These activities are increasing relevancy in the era of digitization and which forms a digital economy in the United States and all over the world. Currently, the automation of IT has deployed the use of technology atomization process through robotics hence machine production, the development of the framework of artificial intelligence, the Block-chain, and Bitcoin referred to as the open systems, the concepts of big data, algorithms of software, and the neural networks. In the implementation of enterprise, it is not easy to access the possibilities of assessing adequately and the consequences, which includes the opportunities of a qualitative change. In the last century, the invention of the essential ingredients that are key in the cryptography and its use in the hash functions have been underway and have also included the sensitivities that will enable Block-chain and Bitcoin to be successful. In recent years, technology has become available for the systems of payment, and other applications that revolve around bold issues, and the contracts are smart. The essay will discuss the automation trends and consequences of Block-chain and Bitcoin in the various sectors of the economy, including the industries. The paper will also comment on the analogies associated with the payments that may lead to a deeper understanding of the properties of Block-chain and Bitcoin.
Teachers Talking in Very Young Learners Immersion Class: How They Did It

&lt;div align="center"&gt;&lt;table width="645" border="1" cellspacing="0" cellpadding="0"&gt;&lt;tbody&gt;&lt;tr&gt;&lt;td valign="top" width="439"&gt;&lt;p&gt;&lt;strong&gt;Abstract:&lt;/strong&gt; This research aimed to describe the language used by the teachers namely teacher talk in VYL English Immersion class whose students’ age ranges from three to six years old and to describe how the language was used effectively in the class. The results showed that there were four types of teacher talk used frequently to help the teachers teach effectively in the class namely (1) giving directions, (2) giving information, (3) asking questions, and (4) praising and encouraging. Those four talks did not work alone in the class; the teachers also use gesture and demonstration to accompany the talks.&lt;/p&gt;&lt;p class="Abstract"&gt;&lt;strong&gt;Abstrak:&lt;/strong&gt;&lt;em&gt; &lt;/em&gt;Penelitian ini bertujuan untuk mendeskripsikan tipe-tipe bahasa Inggris yang digunakan guru dalam konteks pengajaran bahasa Inggris pada kelas imersi dengan siswa berusia antara tiga sampai enam tahun dan menjelaskan bagaimana tipe-tipe bahasa tersebut digunakan secara efektif di kelas. Hasilnya, terdapat empat tipe bahasa yang sering digunakan guru untuk menyampaikan materi, yakni (1) pemberian arahan, (2) pemberian informasi, (3) pertanyaan, dan (4) pujian dan dorongan. Keempat tipe bahasa tersebut tidak digunakan secara independen di kelas. Guru juga menggunakan bahasa tubuh serta demonstrasi kegiatan saat menggunakan keempat tipe bahasa tersebut.&lt;/p&gt;&lt;/td&gt;&lt;/tr&gt;&lt;/tbody&gt;&lt;/table&gt;&lt;/div&gt;
Towards Secure and Auditable E-Voting System with Go Ethereum

The advancement of internet technology, cybersecurity, and the distributed system has enabled the development and establishment of electronic voting systems. This study focuses on the design and architecture of a secure and auditable electronic voting system that consists of a website, database system, and blockchain. The Ethereum blockchain is chosen due to its smart contract that is suitable for applications such as e-voting. The implementation is done using the Go language, and the Ethereum blockchain is accessible through the e-voting website. Initial testing and evaluation results show that the proposed design and architecture of the e-voting system allows a secure transaction to take place and auditable at the same time. Several configurations on the blockchain, such as block size, gas limit, and the number of sealers, could be modified to boost the performances further.
Embodied and Material Pedagogies

However, these ways of knowing and also making place are not produced in isolation; they are produced through social-material engagements, through a continuous process of embodied material learning and teaching. In Chapter Four, a new materialist theory of pedagogy is developed; where the intra-actions of humans and matter are pedagogic, an embodied and material pedagogy. This is achieved through the examination of how matter teaches, and how we learn and teach place and belonging.
الاقتصاد المبني على المعرفة وعلاقته في تفعيل مؤشرات التنمية البشرية في العراق للمدة (2005-2016)

The research aims to analyze the indicators of knowledge economy and human development in Iraq, by employing the knowledge economy and information and communication technology in human development and activating its indicators. The research has shown the importance of the knowledge economy in activating the indicators of human development. The knowledge economy shares with the indicators of human development at the same time the human being is the essence of these indicators, as it is the basic indicator in the development of the knowledge economy, as well as the tool and purpose of human development , The research recommended the necessity of working on the development of human development indicators in Iraq, especially the indicators of education and health, and the development of human resources with creative capabilities, to keep pace with developments in developed countries. It is imperative to provide the opportunity for every person to acquire the skills and knowledge necessary to integrate into the information society and benefit from it, and to activate efforts To move to the knowledge economy due to its great role in achieving human development.
چکیده لاتین زمستان 98

The dominance of professional ethics can significantly help organizations reduce organizational challenges and succeed in achieving their goals. Faculty members who play their academic roles at universities, can also play a critical ethical role as models for their students. For this reason, codes of ethics have been developed in many universities and higher educational institutes. In the meantime, organizational universities, having special aims and missions, hold specific status with regard to ethical principles. This research is aimed at proposing a comprehensive model for conceptualizing professional ethics of the professors of the organizational universities through qualitative approach and thematic analysis using Atlas T software. Having reviewed the literature on professional ethics and organizational universities, the researchers interviewed some experts including professors and managers of selected organizational universities. Analysis of the data resulted in the professional ethics model of faculty members of organizational universities containing six dimensions of educational competence, research competence, cultural-educational competence, administrative competence, commitment competence and advisory competence. These six dimensions are categorized and described under twelve components and 53 indicators. Finally the thematic network is designed.
AKTIVASI GOOGLE CLASSROOM TERHADAP PEMBELAJARAN SASTRA

The purpose of writing this research report is to determine in detail the activation of the use of google classroom in literature learning for 6th semester students of the Indonesian language and literature education study program, FKIP UNA. One of the learning strategies that many teachers and lecturers do in the face of the learning system has changed drastically due to the covid-19 outbreak that is currently hitting Indonesia and the world. By utilizing an online application, namely Google Classroom, it is because the entire community is home to both students and workers without exception. Hashtag di Rumah Aja is a new jargon that must be obeyed by all people in Indonesia for an undetermined time, as well as the learning system that has been announced by the minister of education, face-to-face learning is not allowed, all use an online system in all subjects at school to college level. All subjects are conducted online, including literature learning. Literature learning requires every student to be able to appreciate his talents and creativity in literature. Literature learning should not stop even though we are far apart from the activation of Google Classroom if it can hone students' literary skills. In learning literature this time we will focus on the poetry appreciation course. It is hoped that google Classroom activation can increase students' creativity in poetry, especially students who are expected to be able to produce creative poetry. Keywords : Activation, Google Classroom, Literature Learning
FUZZY ENCODER FRAMEWORK FOR FOUR LAYERS COLOR QR CODE

QR code is a popular type of two-dimension barcode due to high demand of QR code which makes it an active research area specifically to overcome QR code limitation. One of QR code limitation is encoding data size limitation. In this paper, we proposed four layers QR code encoder utilizing fuzzy technique to overcome size limitation. The framework extended the maximum capacity for three layers color QR code by 25%. The fuzzy encoder will select the best-fit color QR code in the aspect of the number of colors according to the file size and the space on paper. Then, the encoder will divide the file into a maximum of four layers of a black and white QR code and give each layer a specific color by color multiplexing for those QR codes. We produced a color QR code with a maximum capacity of four times larger than existing black and white QR code. The encoder also proposed color reference on the locator pattern in the QR code to easily identify the number of colors used in the generated color QR code.
Fixations based personal target objects segmentation.

With the development of the eye-tracking technique, the fixation becomes an emergent interactive mode in many human-computer interaction study field. For a personal target objects segmentation task, although the fixation can be taken as a novel and more convenient interactive input, it induces a heavy ambiguity problem of the input's indication so that the segmentation quality is severely degraded. In this paper, to address this challenge, we develop an extraction-to-fusion strategy based iterative lightweight neural network, whose input is composed by an original image, a fixation map and a position map. Our neural network consists of two main parts: The first extraction part is a concise interlaced structure of standard convolution layers and progressively higher dilated convolution layers to better extract and integrate local and global features of target objects. The second fusion part is a convolutional long short-term memory component to refine the extracted features and store them. Depending on the iteration framework, current extracted features are refined by fusing them with stored features extracted in the previous iterations, which is a feature transmission mechanism in our neural network. Then, current improved segmentation result is generated to further adjust the fixation map and the position map in the next iteration. Thus, the ambiguity problem induced by the fixations can be alleviated. Experiments demonstrate better segmentation performance of our method and effectiveness of each part in our model.
Analysis of Covid-19 via Fuzzy Cognitive Maps and Neutrosophic Cognitive Maps

As far world history is concerned, human being faced many problems like world war, terrorist attack, bomb blasters, natural disasters and so on But all these problems are visible and were able to come across in few months or years Nowadays situation is entirely different from the past world history, because all the worlds are fighting with an invisible enemy called Novel Corono virus disease (Covid-19) If we compare with other diseases like Swine flu, Ebola virus this disease is very infectious and the death rate is also severe all around the world The covid-19 pandemic has affected everyone both physically, mentally and changed our life style Almost all the countries are suffering from this disease and the countries are struggling to control from this epidemic Researchers in all the disciplines are exploring ways to control this disease and trying to find a vaccine So this is a correct situation to mathematically analyze the disease covid-19 like symptoms, spreading way and precaution method using Fuzzy cognitive maps and Neutrosophic cognitive maps Both the methods work on expert’s opinion Since medical field involves uncertainty and indeterminacy, we have chosen fuzzy set and neutrosophic sets for our study [ABSTRACT FROM AUTHOR] Copyright of Neutrosophic Sets & Systems is the property of Neutrosophic Sets & Systems and its content may not be copied or emailed to multiple sites or posted to a listserv without the copyright holder's express written permission However, users may print, download, or email articles for individual use This abstract may be abridged No warranty is given about the accuracy of the copy Users should refer to the original published version of the material for the full abstract (Copyright applies to all Abstracts )
The Other Customer Online Revenge: A Moderated Mediation Model of Avenger Expertise and Message Trustworthiness

Based on the stimulus, organism, response theory, this study develops and tests an integrative model that examines for the first time in the consumer revenge literature how online revenge acts influences other consumers present on social media to do the same. By doing so, this study examines the mediating role of message trustworthiness to better explain the effects of adopting an online avenger message after an online other customer revenge post. The study also investigates the moderating effect of the avenger expertise on this mediated relationship. Moreover, the moderating role of online activation in triggering other consumer’s desire for revenge is also examined. Using SmartPLS on (N=211) Jordanian consumers, the mediating role of the online message trustworthiness is supported. In addition, this indirect effect of message trustworthiness on the path between online other customer revenge on adoption is also stronger when the avenger expertise is perceived to be high. Online activation also moderated the transition from a desire for revenge to online revenge.
Video Encryption Using Chaos-Based Information Entropy

A chaotic video encryption algorithm based on information entropy (IEAIE) is proposed. This undertaking examines the security properties of the calculation and assesses the legitimacy of the utilized quantifiable security measurements. While any calculation distributed goes through some pretty much severe test security investigation, huge numbers of those plans are being broken in resulting distributions. In this undertaking, show that two primary inspirations for leaning toward turmoil based video encryption over old-style solid cryptographic encryption, to be specific computational exertion and security benefits, are profoundly sketchy. Show that few factual tests, regularly used to evaluate the security of bedlam based encryption plans, are lacking measurements for security examination. At the point when the round number is just one, the proportionate mystery key of each essential activity of IEAIE can be recouped with a differential assault independently. Some normal weakness issues in the field of disordered picture encryption are found in IEAIE, for example, the short circles of the computerized confused framework and the invalid affectability component based on data entropy of the plain picture. Far and away more terrible, every security metric is flawed, which subverts the security validity of IEAIE. Consequently, IEAIE can just fill in as a counterexample for representing basic entanglements in planning secure specialized technique for picture information.
THE IDENTIFICATION OF RESULTS OF INSPECTION IN LOGISTICS USING DECISION TREE CLASSIFIER AND DTREEVIZ

Due to inadvertent mistakes in the production process, the manufacturer processes the step called inspection for checking and assuring the quality of the products. The inspection helps to rectify the mistakes or damage in the products and also increases customer satisfaction by delivering good quality products to the customers. The damage rate of the product and inspected quantity are used to classify in the decision tree for decision making. The main aim of the study is to identify the inspection results that “how many products were passed; how many went to rework and how many products were failed in the Inspection Process” using Decision tree classifier and dtreeviz in Jupyter Notebook. The inspected product with pass result products will move to the next process called loading.
Students’ Grammatical Errors In Writing Narrative Essay At The Fourth Semester Of English Department

Based on the background of this research, in writing narrative essay the students have limited knowledge, they still confused to choose the suitable tense or what the tense is used in narrative essay. Through this research, the researcher wanted to find out of grammatical error in narrative essay at Fourth Semester in English Department of STKIP YPM academic year 2019/2020. In this research , the researcher used descriptive quantitative research that suitable with the aim of the research. The researcher was decided to conduct  this research at STKIP YPM. The population in this research was Fourth students in English Department of STKIP YPM academic year 2019/2020, with total population  were 25 students. In collecting the data, the researcher was used essay test to collect the data. Based on the result students’ test in writing narrative essay, the researcher found the students grammatical error in writing narrative essay. The students were error in narrative essay in category format has 19 error or 9.5%, mechanic has 70 errors or 34.7%, content has 11 errors or 5.5%, organization has 3 errors or 1.5%, introduction has 15 errors or 7.5%, body has 15 errors or 7.6%, and conclusion has 13 errors or 6.5%. I grammatical error was noun has total 19 errors or 9.5%, verb tense has  total 30 errors or 15%, adjectives has 3 errors or 1.5%, adverb has 1 error or 0.5%, and the last is preposition has 3 errors or 1,5%.  It can conlude that the students in Fourth Semester at English Department of STKIP YPM made was Extremely Good with average score 83, but the students still make an errors in writing and grammatical in narrative essay.
BitRupee - Passwordless authentication using ZKP and Bitcoin Identity protocol

In this digital day and age, passwords are no longer adequate. Users worldwide are victims of multiple malfeasances like brute force attacks, injection attacks, phishing, unsafe credentials, data theft, among others. The benefits of using passwords - which have increasingly become predictable, leave users vulnerable to data and identity theft. Even the strongest passwords are easy to crack and prone to phishing nonetheless. Hence, given all these nuisances, there’s a need to eliminate character-based authentication protocols, which would ultimately benefit all developers as well as end-users. To replace this conventional but antiquated protocol with a secure alternative, would be Passwordless Authentication. BitRupee is a secure passwordless authentication protocol that uses cryptography where one’s identity is presented with anonymity. This type of multi-factor authentication layer approves a sign in only after two or more verification factors (that are secured with a cryptographic key pair) are authorized. The BitRupee system is decentralized and only stores a public key in the database. The system creates a public and private key, of which the user is only able to access the private key. Further after signing the key, the user sends the information over the API to the server, where it checks its validity with the public key and grants access accordingly.
Penerapan Metode Fisherface Untuk Mendeteksi Wajah Pada Citra Pasfoto

Face is one of the easiest physiological measures and is often used to distinguish individual identities from one another. Humans can distinguish faces from one person to another and remember someone's face quickly and easily. To read the characteristics of a face, a reader is needed, a database capable of storing facial pattern data and of course software that can analyze the data. Therefore, the method used in detecting faces is Fisherfaces, which is a new method of facial recognition. The advantage of using this method is that the processing time is relatively short / fast. This is because the fisherfaces process uses a process in the form of a matrix, making it suitable to be applied to systems that require real-time processing. But this method also has a drawback, namely that it requires a lot of templates so that the results of the introduction will be more accurate and optimal. Thus, achieving the maximum results from this research is certainly done with great effort. By using an online service, a web spreadsheet application on the www.think-maths.co.uk site that can convert digital images into pixels in the form of .xls format in the excel application