Reviewerly/exHarmony huggingface dataset:
Conversational machine reading comprehension based on cosine

With the development of natural language processing technology and artificial intelligence technology, more and more industrial applications have landed. Our lives have also been improved through intelligent voice assistants. In life, we can control various home appliances by talking to the voice assistant, and we can also chat with the AI voice assistant. In the final analysis, these activities are actually the expansion of the dialogue system, and in the dialogue system, historical dialogue information plays a vital role. The contribution of this article is to use the cosine similarity to compare the current question with the chat information that occurred before. If the similarity is high, it is added to the sentence embedding of the final model input. The advantage of this is that it improves the accuracy of the machine in answering questions in multiple rounds of conversations.
Meditative Inquiry and Mindfulness

The premise of this chapter is that the understanding of consciousness and its transformation should form the core of educational experience as has been argued by Ashwani Kumar in his writings. Throughout this chapter mindfulness is presented as an ally in the theory and practice of education. Meditative inquiry is not a teaching technique or a strategy; it is meant to be a new paradigm for education. Likewise, mindfulness in its essence is also not a technique or a strategy. Like meditative inquiry, mindfulness is a foundational way of being. This chapter presents the case that they are well-aligned with each other. Both have far-reaching transformative implications for the prevailing paradigms in education. They provide more than traditional rote learning, adherence to ideologies as objective truth, and a fragmented sense of self in perpetual conflict. They provide conditions for transformation at the level of consciousness, the felt sense of connectedness, and authentic dialogue without fixation on ideologies.
The Influence of Parental Tutoring on The Second Grade Students Thematic Learning Outcomes

This review plans to decide the effect of nurturing on topical learning results for Class II SDN Karangtengah 4 Kediri in the scholarly year 2020/2021. Research directed by the scientist is quantitative exploration involving delineations in information handling. The outlines utilized in this review are second grade understudies, an aggregate of 14 understudies. Information assortment strategies, for example, survey, perception and documentation were utilized in this review. The motivation behind the polls is to recognize understudy information on parent direction and documentation, topical learning results, a concise history of the school foundation, the school's vision and mission, school conditions, and so forth ought to give information on The aftereffects of this review form whether parent training affects understudies' topical review results II. Class SDN Karangtengah 4. This is demonstrated when Xcount is the worth of 22 from the aftereffects of speculation testing utilizing the Chi-square equation. The 273 is a huge 5% bigger than the Xtable at a cost of 7 815. Along these lines, in this exploration, the elective theory (Ha) and He are dismissed with an extremely amazing level of impact. From the computation of the coefficient of assurance, the impact of parental direction, understudies' II. It has an impact of 74.99% on the impact of topical learning results. Class at SDN Karangtengah 4.
Digital Requirement Development: Three Years of Using Digital Methods to Improve Standardization of Procurement Specifications

Abstract Joint Industry Program 33 (JIP33) was established through IOGP with backing from the World Economic Forum to drive industry level standardization for procurement of equipment and packages. During Phases 1 and 2 of JIP33 the traditional business applications Microsoft Word, Microsoft Excel and e-mail were used to develop, collaborate and publish 14 specifications. For phase 3 a digital requirements management platform was implemented to enhance capacity, efficiency and auditability of specification development and maintenance. This platform has subsequently been used to develop and publish 27 ‘exception’ style specifications and 4 ‘narrative’ style specifications, bringing the JIP33 published specification library to 45 since the program's commencement in 2016. JIP33 proposed that the adoption of a digital requirements management platform would reduce the cost and time of development, simplify collaboration and improve the quality and maintainability of output. The platform's original configuration and work processes have evolved to enhance collaboration and improve traceability. Natural language processing technology has been integrated into the platform to support JIP33 writing protocols and reduce user dependence on external tools. Document production is automated using customised data transformations to output the specifications in a publishable form. Requirement Interchange Format (ReqIF) data exports are being piloted in collaboration with the IOGP Standards committee to test the digital transfer of JIP33 specifications into user databases. Changes to JIP33 work processes aimed at improving user engagement also provided resilience to the Covid pandemic and the sudden shift globally to virtual working. However, notwithstanding improvements in the tools and process, timely engagement of collaborators in content development and reviews remains a significant area for improvement. Resistance to ‘sentence centric’ requirement writing should decline as familiarity and culture change programs take effect. Improvements to JIP33 data transformations are predicted to streamline extraction of publishable specification documents from the platform. Digital transfer of JIP33 specifications has also been piloted and advances in the standardisation of data attributes across the industry will drive the future evolution of the JIP33 program's use of these tools. This paper will present an update of the JIP33 program's sustained use of a requirement management platform and other digital tools for specification development and future digital integration of JIP33 specifications by users.
SciTech Premium Collection

The SciTech Premium Collection is a multidisciplinary database created by ProQuest that covers engineering, the natural sciences, technology, and related fields. SciTech is a streamlined package of many of ProQuest's already established science and technology databases. Offering a single search bar for a multitude of scientific journals and resources, SciTech provides an easy-to-use, all-in-one resource for students and faculty. While not an innovative platform in terms of UX or ADA compliance, the content contained in SciTech paired with the platform's user-friendly design is essential for any institution that serves science, technology, and engineering disciplines.
The Influence of Thematic Monopoly Media on Learning Outcomes on The Theme of Technology Development of Third Grade

This study discusses thematic monopoly media on learning outcomes on the theme of third grade technology development at SD Islam Al Washoya Jombang which aims (1) To determine learning outcomes in the theme of technology development for third grade students at SD Islam Al Washoya without using thematic monopoly media. (2) To find out the learning outcomes in the theme of technology development of third grade students of Al Washoya Islamic Elementary School by using thematic monopoly media. (3) To find out there is a difference in the average thematic learning outcomes between students who learn to use thematic monopoly media and students who study without using monopoly media for class III Al Washoya Islamic Elementary School. In this study, the type of research was "Quasy Experiment" using a "non-equivalent control group design" design. The population of this research is all third grade students of Al Washoya Islamic Elementary School which has a total of 16 students. The sample used is class III students who have a total of 16 students, namely 8 students as the control class and 8 students as the experimental class. Based on the results of the descriptive analysis, the average value of the two groups was obtained, namely the control class with a pretest score of 68.13 and a post-test score of 66.88, while in the experimental class the pretest score was 66.88 and the posttest score was 91.88. The results of inferential statistical analysis obtained the value of Sig. (2-tailed) &lt; or (0.000 &lt; 0.05). Thus, it can be concluded that there is a difference in the average learning outcomes of third grade students of SD Islam Al Washoya who are taught to use thematic monopoly media and those who are not taught to use thematic monopoly media.
Short-Term Solar Power Forecasting For Smart Grid Management

Building a smart power grid is essential to supporting advanced city infrastructure. A smart grid can be defined as a computer-driven power grid that integrates efficiently and safely the actions of all connected entities: power plants and consumers. The modern concept of smart grid management targets a real-time balance of the inherent variability in the power production from renewable sources. Consequently, short-term forecasting of power production became a key task in providing smartness to the grid. Accurate forecasts allow computers to take control actions to balance the grid. In this context, this chapter focuses on intra-hour forecasting of photovoltaic (PV) power. A brief introduction to solar irradiance variability is presented firstly. Then, a survey on the performance of solar irradiance forecasting models is conducted. It is motivated by the commonsense observation that the accuracy of forecasting the output power of a PV plant is highly conditioned by the accuracy of forecasting the solar resource. The second part of the chapter includes a review of several models for short-term forecasting the output power of a PV plant. A critical survey on the metrics used for measuring the accuracy of the forecast is presented as well. The chapter ends with a case study on short-term forecasting of PV power, namely on the specific climate of southeastern Pannonia Plain. The study is conducted with high-quality data measured on the Solar Platform of the West University of Timisoara, Romania. <br>
Linguistics Database

ProQuest's Linguistics Database (LDB), a collection of over 260 journals in linguistics, serves as the full-text complement to the key indexing database Linguistics and Language Behavior Abstracts (LLBA). Together, these two resources constitute ProQuest's Linguistics Collection, a suite of products “covering all aspects of the study of language including phonetics, phonology, morphology, syntax, and semantics.”Since most of these journals have short backfiles, going back 20 years or less, it is suggested to pair LDB with another product that offers deeper chronological coverage (such as JSTOR).
Visualize Algorithms with Android Application

Algorithm Visualization is a technique that uses sophisticated pictures, slides and movies to explain the unknown concepts and to uncover some of the hidden features of an algorithm. By reading textbooks of data structure and algorithms one cannot understand the concepts deeply but, if similar information is given using some pictures it becomes easy to understand. This technique can also be helpful in the research and development and education area. As we know that there are two aspects of everything, if there is some advantage of using it then there are also disadvantages of it. The limitations of algorithm visualization is that we cannot easily convert it to pictures because we need to check for every operation done by the algorithm. The chosen picture must satisfy all the operations of an algorithm. For example the picture for stack is vertical bar along with equal divisions is capable to do stack operations like “push”, “pop” and “peek”.
Security Concerns for Blockchain Based Sharing of Mobile Student Credential

Blockchain has recently taken off as a disruptive technology, from its initial use in cryptocurrencies to wider applications in areas such as property registration and insurance due to its characteristic as a distributed ledger which can remove the need for a trusted third party to facilitate transaction. This spread of the technology to new application areas has been driven by the development of smart contracts – blockchain-based protocols which can automatically enforce a contract by executing code based on the logic expressed in the contract. One exciting area for blockchain is higher education. Students in higher education are ever more mobile, and in an ever more agile world, the friction and delays caused by multiple levels of administration in higher education can cause many anxieties and hardships for students as well as potential employers who need to examine and evaluate student credentials. Distance learning as a primary platform for higher education promises to open up higher education to a wider range of learners than ever before. Blockchain-based storage of academic credentials is being widely studied due to the advantages it can bring. As with any network-based system, blockchain comes with a number of security and privacy concerns. Blockchain needs to meet several securityrelated requirements in order to be widely accepted: decentralization; confidentiality; integrity; transparency; and immutability. Researchers have been busy devising schemes to ensure that such requirements can be met in blockchain-based systems. Several types of blockchain-specific attacks have been identified: 51% attacks; malicious contracts; spam attacks; mining pools; targeted DDoS attacks; and others. Real-world attacks on blockchain-based systems have been seen on cryptocurrency sites. In this paper, we will at look at the specific privacy and security concerns for blockchain-based systems used for academic credentials as well as suggested solutions. We also examine the issues for academic credentials which are stored “off-chain” in such systems (as is often the case).
Canada Commons

As the successor to the Canadian Electronic Library, Canada Commons aims to continue as a source for Canadian e-books and government and policy documents. Holdings include over 19,000 e-books, and indexation and linking to over 133,000 publications. The Canada Commons interface has a simple, appealing design that does not overwhelm the user. Built using Coherent Digital's Commons Platform, it is nearly identical in design and functionality to the company's Policy Commons database. Given the limited number of products geared for the Canadian library market, Canada Commons provides access to Canadian e-books, government and policy documents that users will not get in Gale OneFile: CPI.Q or ProQuest Canadian Business &amp; Current Affairs (CBCA), both of which are standard databases in most Canadian academic libraries. Canada Commons will appeal to public, academic, and corporate library users.
CHATBOT MOVIE RECOMMENDER SYSTEM

This paper deals with the recommender engine and chatbot through python using machine learning, artificial intelligence, to assist movie buffs by recommending what film to watch without requiring them to go through the timeconsuming and complex process of selecting from a vast number of films ranging from thousands to millions. Our goal in this post is to decrease human effort by recommending movies based on the user's preferences. To address these issues, we developed a paradigm that combines both a content-based and a collaborative approach. When compared to other systems that use a content-based approach, it will provide more explicit results. People are limited by content-based recommendation systems; these algorithms do not prescribe things out of the box, restricting your ability to learn more. As a result, when used in a chatbot, it produces reliable results.
IPA on University Education Service Quality during COVID-19 Pandemic: Focusing on University Students Major in Aviation Tourism

The university education comes to face a risk, as the school age population has been drastically decreased and the industry/society is also dramatically changed, during the COVID-19 pandemic. Universities are required to meet the educational satisfaction by providing differentiated educational services, where the competition among them is intensified, along with the decrease of the number of students entering universities and the open of global education market. In these days, the department of aviation tourism has been increasingly opened by universities and colleges, along with the growth of the aviation industry, but it is actually difficult to attract students. This study, therefore, attempts to understand the factors which can enhance the education service quality by IPA with the education service quality in the department of aviation tourism. The questionnaires for online were administered to university or college students major in aviation tourism. A total of 282 copies returned were statistically analyzed via data coding and data cleaning, by using SPSS v. 21.0. The findings show that the importance and satisfaction with the education service quality were highest for the teaching service, followed by the education service, and then, environmental and well-being service. The results of the analyses are thought to be used as the basic data for enhancing the education service quality and managing the quality of education.
A Study on the Experience of Pre-Special Education Teachers in Class Video Production using ICT

The purpose of this study is to investigate the experience of pre-special education teachers in class video production using ICT. The subjects of this study were 35 students of K University"s secondary special education department: 19 students in the experimental group, 16 students in the comparison group. After the students in the experimental group produced a class video using ICT for students with learning disabilities, they were asked to fill out a questionnaire about the class video production process and perception. The experimental group and the comparison group were tested for the efficacy of ICT-using professors. The research results are as follows. First, when producing ICT-using class videos, the most used method was to record audio in the work as a production method, and smartphone app as a program. Second, pre-special teachers were able to learn about the overall class video production through ICT-using class video production, and recognized that the quality of class was improved through research on class and learners and repeated practice. Third, as a result of comparing the level of teacher efficacy using ICT through the production of class videos using ICT, there was a difference between groups in the items related to ICT application in class. In view of these results, it was suggested that experience in ICT-using classes is necessary for special education teachers to develop their teaching competency.
Librarians as Partners in Biomedical Data Science

Over the last decade, biomedical research and clinical practice have been transformed in many ways by the same technological advances that have made the world increasingly data driven. Journal and funder policies that promote data sharing also mean that not only do we have more data, but that more of it is available for researchers around the world to leverage in their pursuit of knowledge to advance human health. While the rise of biomedical big data has facilitated important advances, biomedical data science involves a unique set of challenges. Fortunately, librarians and information professionals are well suited to engage with researchers on many of these issues, making academic libraries ideally situated to serve as partners in advancing biomedical data science. Although the opportunities are many, this chapter specifically highlights five areas where librarians' skills make them valuable collaborators.
Intelligent Travel Guide: A Travel Recommender System

The hassle of deciding on a travel destination is often overlooked by travel websites. Travellers, a lot of times, do not have a clear idea of where they want to travel to. We aim on solving this problem by introducing a chat bot system that can recommend travel destinations based on minimal information from the traveller. Another interesting feature of the project is its itinerary generator. The system aims on providing a human-like user experience through the use of a chatbot interface. The interface interacts with the user to retrieve information about the user’s details like travel date, number of children and adults travelling and the budget of travelling. The user’s budget will be the main focus of this application as we want to give the end-user the best travel experience based on their particular budget. The recommender also takes other external factors such as the season, previous traveller experiences and weather into consideration. Incorporating these factors ensure that the most optimal destination is recommended to the user. As per the recommendation, the user can opt to get several itineraries to choose from. The itinerary generator also takes several external factors into consideration when generating an itinerary. The choice of itineraries vary in the choice of places and in activities according to budget and other external factors.
A Study on the Analysis of the AI Educational Contents Usability Test Appropriateness by Rasch Rating Scale Modeling

The purpose of this study is to analyze the appropriateness of item, item difficulty, rating scale, and compare people"s ability to item difficulty with the AI Educational Contents Usability Test(AI-ECUT) scale through applying Rasch Model based on the item response theory. The data are 105 students responding survey after attending to usability test. For data processing, frequency analysis, factor analysis, and Rasch model analysis are performed using jMetrk, Winsteps, and SPSS program. The results are as follows. First, it is found that the AI-ECUT scale is found to satisfy one-dimensional fitness. Second, it is found that appropriate to change the rating scale category from 5 points to 4 points Likert scale. Third, as a result of examining the item relevance of the AI-ECUT scale, the Q41 item is found to be inappropriate and needs to revise. Forth, there are lots of lower difficulty levels items compared to higher and middle difficulty levels items.
Low-carbon constraint-oriented peak shaving optimization method for nuclear power integration into power system

The rapid development of nuclear power energy has effectively alleviated the social power demand. However, the sensitive characteristics of nuclear power plant operation disturbances have a certain impact on the grid load. In order to improve the peak-shaving capability of nuclear power integration into the power system, a peak-shaving optimization method is proposed on the basis of full consideration of low-carbon constraints. First of all, this article introduces the principle of low-carbon restraint and establishes an evaluation framework for energy conservation and economic operation. Secondly, the peak shaving optimization problem is formally described, the sum of comprehensive costs is minimized as the objective function of optimal dispatching, and the corresponding constraints are set. In addition to considering the operation cost, the safety output characteristics of nuclear power units during peak shaving are considered, and multiple constraints are established. Finally, the peak shaving capacity of power system is determined, and the peak shaving optimization strategy of nuclear power access power system is formulated. The example results show that after the application of this method, the output of nuclear power unit is improved, the peak shaving accuracy and time-consuming are better than the traditional method, and the cost is effectively reduced, which shows that this method has high application value.