Reviewerly/exHarmony huggingface dataset:
Learning in the Digital Age During the COVID-19 Pandemic for School Improvement

Background: Digital learning became increasingly popular when the COVID-19 disaster hit. Even though, its implementation is still less popular after no special indicators are used to create systematic learning. Comprehensive access to online education with fifth generation (5G) mobile technology coverage will enhance the quality of learning in the face of the digital age. Contribution: The contribution of this study is to increase the awareness of online learning during the COVID-19 pandemic. It recognizes the importance of strengthening online learning when schools close. It also highlights digital technologies and practices for school improvement and enters an endemic era. Method: Synthesis method. Researcher synthesized information naturally to help others see connections between things. Results: The presence of the COVID-19 threat has opened a new norm in pedagogical methods in Malaysia. The use of technology has long been championed since 2013. Its importance became apparent after the emergence of the pandemic in early 2020. Not because of pandemic had to give way to technology but the times need change according to the currents of modernity and high technology. Since then, we have faced the threat of a pandemic and through a life of new norms. The convenience of computers and smartphones has changed the current learning process. Conclusion: The COVID-19 pandemic has affected the structure of Learning and Teaching in Malaysian educational institutions. Education institutions were also instructed to close and the live or face-to-face method of Learning and Teaching was changed to fully online Learning and Teaching. The education system will undergo changes of learning in the digital age. Digital learning also continues to be the new norm of pedagogy in the future.
Quantum Information Education and Research Through a Digital Approach During the COVID-19 Lockdown: A Case Study

The COVID-19 lockdown necessitated new ways to deliver education, resulting in multitudinous innovations. Much published research has addressed the innovations and deficiencies of education during this period. However, few reports deal with research and advanced education; thus, this case study intends to account for the actions and outcomes of research and graduate education in quantum information. We tracked the implementations and performed a conglomerate analysis to evaluate the quality outcomes of 35 students in a research group. Data collection supported the chronological examination of technological implementations and their participants and the metadata of scientific products, particularly their quality, date, and participants. This research shows that tools and new technologies combined with sustained effort led to higher quality and quantity than previous years. Finally, the confinement has offered some students the opportunity to focus on their academic lives under valuable supervision. We conclude that quality can be attained during emergency education with proper didactic design and high motivation sustained by committed advisers.
AN APPROACH TO APPLICATIONS ARCHITECTURE MODELS ANALYSIS

A relevant problem of applications architecture model analysis was considered in this paper. Its significance is defined by the fact that designed blueprints of software systems should be thoroughly checked for all potential inefficiencies in order to avoid additional effort and costs for defect correction in later project stages. As a result, the research goal was defined as detecting strong and weak points in software design solutions via applications architecture model analysis. The research objective was set at the process of analyzing applications architecture models, and the research subject was set at the software solution for analyzing applications architecture models. Existing software tools for applications architecture modeling and analysis were defined based on an examination of general software development problems for applications architecture model analysis. The ArchiMate enterprise architecture modeling language was chosen as the standard representation of applications architecture models to be analyzed because there are nearly no alternatives to ArchiMate language for architectural description of enterprise application models that are standardized, supported by most diagramming software, and exchangeable. The domain of applications architecture models analysis was discovered, an approach to analyzing applications architecture models was proposed, a software solution for analyzing applications architecture models was designed and developed, and it was used to evaluate applications architecture models that represent web development patterns. The analysis results could be used by system or software architects to estimate the suitability of applications architecture solutions for ongoing projects, detect flaws in specific architectural patterns, and reduce effort and costs in later project stages.
Development of an Innovative E-book Integrated Learning Video to Improve Learning outcomes and Learning Motivation of Chemistry Education Student on Metabolic Biochemistry Topic

Education is very important role in the formation of quality human resource, because that educator must be creative and innovative.Innovation in learning can be in the form of developing teaching material using technology.The study aims to produce a ebooks assited by Kvisoft Flipbook Maker as alearning media and learning resource in metabolic biochemistry learning so as to increase student motivation and learning outcomes, this research with the ADDIE models the data collection instrument used was validation questionnaire based on the National Education Standard Agency (BSNP).The data were analyzed by descriptive statistical analysis.The result showed the feasibility of innovative an e-book of Biochemistry metabolism integrated with learning videos, with an average score of 3.45 and include in the valid, limited trial use e-books show effectived result in improve learning outcomes with an N-gain score 0.74 and motivation with an averange score of 85%
cSPAM Cloud based Student Project Administration and Management

In today’s world, time is very crucial and thus valuing time is of utmost importance. Managing projects and submissions of each subject mini project and semester mini project becomes a hectic task for both faculties and students. Efficiency is thus compromised in such situations. The time spent in the whole process of mini project from start to end takes a lot of time if done manually and the monitoring and tracking the progress of all the groups by the faculty is too hectic for the faculties. Project management tool plays a crucial role here, skipping all the wastage of time and hassle of project submissions. Our proposed system is a common platform for our institute to manage project submissions and interacting with faculty members and teammates everything online to achieve efficiency.Our proposed system will provide 3 different logins i.e student, faculty and admin.Here students could easily submit their progress of the project and faculties would be able to take to give feedback to the group , keep tracking and monitoring the progress and admin would be authenticating students and faculties and also creating the separate channels for the groups and assign the mentors.
The Correlation Between Reading and The Ability of Students in Expository Writing

Reading is one of skills in English which can get and take the infromation from printed text. Based on preliminary reasearch at SMP Negeri 1 PantaiLabu it was found that the students’ reading score was still low. The objective of this research was to know there was apositive correlation between the students’ reading and the ability at the first semesterof the seven grade of SMP Negeri 1 PantaiLabuin the academic year of 2019/2020. In this research, methodology of the research is a correlation research. In the taking the sample of the research was gained through simple random sampling. The population of the research was taken from students of the seven grade of SMP Neger 1 PantaiLabu The researcher took 40 students from 100 population. In collecting the data, the researcher used question and answer method to measure students’ reading and the ability. Thetry out of question and answer was done to find out the validity and reliability. Then a try out reading ability test was also done to find out the validity and reliability. After the data of students’ reading ability were collected, the data were statistically computed, to find out the correlation between students’ reading and the ability. From the data analysis, the result of applying the distribution shows that coefficient correlation is possitive correlation between students’ reading and the ability of students in expository writing at the first semester of the seven grade of SMP Negeri 1 PantaiLabuin academic year of 2019/2020. From this research, it is suggesed that students have good a reading ability.
Enhancing Technical Q&amp;A Forums with CiteHistory

Software engineers often use Q&amp;A forums like Stack Overflow and MSDN to ask and answer technical questions. Through a survey study and web browser log analysis, we find that both askers and answerers of technical forum questions typically conduct extensive online research before composing their posts. The inclusion of links to these research materials is beneficial to the forum participants, though post authors do not always include such citations. Based on these findings, we developed CiteHistory, a browser plugin that simplifies the process of including relevant search queries and URLs as bibliographic supplements to forum posts, and supports information re-finding for post authors. We discuss the results of a two-week deployment of CiteHistory with professional software engineers, which demonstrated that CiteHistory increased reference inclusion in posts, and offered auxiliary benefits as a personal research tracker.
Query in linguaggio naturale per il dominio della dieta mediterranea

This paper presents an ongoing work for allowing users to ask questions in natural language to a database management system on the domain of recipes. The system translates questions from Italian language to SQL exploiting an interlingua represented by a logical formalism such as relational calculus. There are two specific features of this project: first, the use of relational calculus as semantic representation for interlingua translation; second, the role played by pragmatic information, that is the Mediterranean diet domain implicitly encoded in the database schema.
Optimal control of compound Poisson processes

The problem of controlling a compound Poisson process until it leaves an interval is considered. This type of problem is known as a homing problem. To determine the value of the optimal control, we must solve a nonlinear integro-differential equation. Exact and explicit solutions are obtained for two possible jumps size distributions.
Sparse Decision Diagrams for SAT-based Compilation of Multi-Agent Path Finding (Extended Abstract)

Multi-agent path finding (MAPF) represents a task of finding non-colliding paths for agents via which they can navigate from their initial positions to specified goal positions. Contemporary optimal solving algorithms include dedicated search-based methods, that solve the problem directly, and compilation-based algorithms that reduce MAPF to a different formalism for which an efficient solver exists. In this paper, we enhance the existing Boolean satisfiability-based (SAT) algorithm for MAPF via using sparse decision diagrams representing the set of candidate paths for each agent, from which the target Boolean encoding is derived, considering more promising paths before the less promising ones are taken into account. Suggested sparse diagrams lead to a smaller target Boolean formulae that can be constructed and solved faster while optimality guarantees of the approach are kept. Specifically, considering the candidate paths sparsely instead of considering them all makes the SAT-based approach more competitive for MAPF on large maps.
Third-party cyclic code reconstruction over binary erasure channel

We consider a setup where Alice is transmitting channel coded messages to Bob and intruder Willie is snooping over this communication. Willie does not know the channel code that Alice is using and wishes to identify it in order to decode the intercepted messages. This problem is termed as blind reconstruction of channel codes and has possible applications in cognitive radios and military. In this work, we consider the situation when Willie knows that Alice's channel code belongs to the family of binary cyclic codes and the underlying communication channel is the binary erasure channel. We present an algorithm to identify the parameters of the unknown channel code corresponding to the given data. The key step in our algorithm consists of distinguishing between the two situations when all of the assumed parameters are correct and when either of the parameter is incorrect. As part of analysis, we present a lower bound on probability of correctly distinguishing between these two situations.
Implementation of Expert System to Diagnose Pregnancy Disorders using Fuzzy Expert System Method

The process of problem analysis can be carried out by a computer system that has included a knowledge base and a set of rules from an expert, known as an expert system. One of the problems that the expert system can solve is to diagnose pregnancy disorders. This study aims to determine how to design an expert system by adopting a doctor's expertise with the fuzzy expert system method. The data used in this study were 46 data obtained from the medical records from Tugurejo Hospital in Semarang City. The variables used were general symptoms and pregnancy disorders. The result of this research is the implementation of the fuzzy expert system to diagnose pregnancy disorders. The level of system accuracy generated from the scenario of 26 data as training data and 20 data as test data is equal to 95%.
Type-safe regular expressions

Regular expressions can easily go wrong. Capturing groups, in particular, require meticulous care to avoid running into off-by-one errors and null pointer exceptions. In this chapter, we propose a new design for Scala's regular expressions which completely eliminates this class of errors. Our design makes extensive use of match types, Scala's new feature for type-level programming, to statically analyze regular expressions during type checking. We show that our approach has a minor impact on compilation times, which makes it suitable for practical use.
The Principle of Self-Contained Formation of the Musical Form: Functional and Semantic Aspects

In the artistic process the task of creating an artistically integral and completed form is initially set and then solved by the artist who created it. A work of art appears as a result of the decisions made, the outcomes of which compel the recipients of the art work to interpret their role and meaning. Being present in a broad field of compositional possibilities induces the analyzing musician towards a search for the criteria of their arrangement. In the present research work the present function is assigned to two principles, universal in their nature, formulated in Russian musicology by O. Sokolov – those of progressive development and self-contained formation. Turning her attention on the second of them, the author of the work examines its manifestation in various genres – from small-scale works to cyclic forms. By the example of works by Mussorgsky, Debussy, Webern and Prokofiev, as well as Chopin’s Prelude No. 2 opus 28 (1831) and Shostakovich’s String Quartet No. 7 (1960), original variants of implementing the phenomenon of self-containment capable of expanding the perception of its functional-semantic potential. The chosen angle of research appeals not only to Sokolov’s terminology brought out into the article’s title, but is also relatable to the methodology of the scholar who diffuses the laws of musical form on literary writing. The present circumstance makes it possible to turn to verbal sources – Thomas Mann’s novel The Magic Mountain, Anton Chekhov’s novelette The Black Monk, and Alexander Pushkin’s The Tale of Tsar Saltan. During the process of studying the mechanisms of self-contained formation their dependence on the level of the complexity of the form and the particularities of style and genre is discovered. In the small-scale compositions the action of the principle is realized by means of intonational evolution on an inner-thematic level; the self-contained quality of the large-scale forms becomes the result of a special strategy of juxtaposition of themes. Frequently both processes are predetermined dramaturgically, which inevitably implicates not only functional, but also semantic waymarks into analytics.
ANALISIS KARAKTER TOKOH DALAM NOVEL AKU MENCINTAINYA MAMA KARYA FREDY S

This study aims to describe the characters in the novel Aku Cintanya Mama by Fredy S. The characters in question are (1) the character of the protagonist, (2) the character of the antagonist, and (3) the character of the tritagonist.&#x0D; The research approach used in this study is a qualitative descriptive analysis approach. The source of the data in this study was the text of the Novel Aku Cintanya Mama by Fredy S Published by Bintang Indonesia, in Jakarta 1999, the novel totaled 128 pages. The form of the data in this study is in the form of qualitative data, namely, quotations of words, and sentences that indicate the existence of types of characters in the Novel Aku Cintanya Mama by Fredy S. The data collection technique used in this research is the reading and note technique. The data analysis technique uses a qualitative descriptive method.&#x0D; Based on the research results, Rian's character is kind, friendly, brave and full of love. Tias's character is cruel and spiteful. The character of Rian's father is a mediator, confident, advisory and calm. The character of Rian's mother is caring and worried. Seno's father's character is mediocre and serious. The character of Seno's mother is a mediator. The character of Tias's mother is sensitive, understands, believes and does not have the heart. Seno's character is submissive and advice. Andri's character is advice and obedience. Rudi's character is obedient.
Adaptation of the expansion process conditions in a screw expander for low-temperature separation of carbon dioxide

The process of crystallization of carbon dioxide occurs when gas mixtures containing carbon dioxide in expansion machines operating at low temperatures expand. This low-temperature separation of carbon dioxide for the purpose of producing dry ice has been studied using the example of expansion in turbo expanders. The dynamics of the expansion process in the paired cavities of screw machines is considered, the optimal values of the outer diameters of the screws are selected, and the parameters of the expanding gas mixture necessary for calculating the crystallization process are determined to study a similar process in screw expanders.
A RELATIONSHIP BETWEEN KNOWLEDGE INSPIRATION, LANGUAGE PROFICIENCY AND LESSONABILITY

This study is expected to discover: (1) There is a relationship between of knowledge inspiration and language proficiency; (2) There is a relationship between language proficiency and lesson ability and (3) There is a relationship between knowledge inspiration, language proficiency and lesson ability. The study is directed by January – April 2019 in the second semester understudies, scholastic year 2018-2019. The information of the exploration is gathered utilizing survey to gather the information of understudies' knowledge inspiration and experiment to gather the information of language proficiency and lesson ability. The data are then being explored utilizing basic connection and various straight relapse. The study discoveries show that (1) There is a positive relationship in the midst of knowledge inspiration and language proficiency (ry1 = 0.745&gt; r table = 0.205); (2) There is critical positive relationship between language proficiency and lesson ability (0.720 &gt; 0.205; (3) There is a positive relationship between knowledge inspiration, language proficiency and lesson ability (F perception 91.941 &gt; F table 3.11).
Enhancing marketing capabilities using blockchain

Blockchain technology aims to change how almost every company is especially marketing companies handle the data. After crashing on the scene as the driver behind Bit coin in 2009, it has become relevant to several sectors beyond financial services, including industrial manufacturing, marketing, health care, and logistics. The common thread between these industries is that they all contain complex and large numbers of interconnected entities, transactions, and vast data quantities. The digital market also shares those features. Combined with the industry’s accountability concerns, these features make ads a prime candidate for Blockchain solutions. Blockchain will help overcome one of the greatest issues facing the marketing industry of various practices. Publishers, advertisers, and ad-tech companies are investigating Blockchain to improve transparency around marketing practices, with the ultimate aim of growing fraud. According to projections by Juniper Research, ad fraud is estimated to cost the industry $44bn by 2022. Blockchain can monitor distributed marketing processes. Blockchain can inject transparency into the marketing industry for ads. Blockchain can resolve many obstacles in the marketing industry, and in this research, we will discuss various ways in which the industry should address these challenges using Blockchain. Finally, we will discuss how Blockchain based marketing offers space to marketers by giving them proper insights into their actions and market conditions.
Correction to: An Ambient and Pervasive Personalized Learning Ecosystem: “Smart Learning” in the Age of the Internet of Things

Chapter [“An Ambient and Pervasive Personalized Learning Ecosystem: “Smart Learning” in the Age of the Internet of Things”] was previously published non-open access. It has now been changed to open access under a CC BY 4.0 license and the copyright holder updated to ‘The Author(s)’. The book has also been updated with this change.
"A Study of Contact Tracing Applications for Containing the Spread of Covid-19- A Global Perspective"

- In order to contain the spread of pandemic Covid- 19, most of the countries across the globe have come up with the contact tracing applications commonly known as “Contact Tracing Apps”. Transparency, privacy and security of user’s data are the major concerns that are associated with the successfulness of a contact tracing app. The success of a contact tracing app can be measured by looking at the segment of the population using the app. The Government of India launched Aarogya Setu as a mobile application to help to contain the spread of Covid- 19 by providing mechanisms to trace the contacts of an infected individual, so that the individuals who have come into the contact of an infected individual, can be isolated and quarantined as per the protocol issued by the government from time to time and thereafter can be medicated. Aarogya Setu Application serves as a preventive measure that one can take to keep himself/ herself informed, if the individuals whom he/ she has been in contact is not a Covid- 19 patient. Aarogya Setu is a technological endeavour undertaken by the Government of India that encompasses the software technology and internet technology. Majority of the countries across the world have adopted the technology based solutions for the purpose of contact tracing in the wake of Covid- 19.