Reviewerly/exHarmony huggingface dataset:
“Great Deeds”: <i>Frontiers</i> and Other Adventures at the Library of Congress, 1996-2019

In the late 1990s, the Library of Congress under the leadership of Librarian of Congress James H. Billington launched an innovative digital library project, Meeting of Frontiers, built around the theme of the parallel experiences of the American West and the Russian Far East and Siberia and the meeting of the frontiers in Alaska. The project flourished until 2005, and digitized rare collections at more than thirty libraries and archives in Russia and the United States. The project was left unfinished, however, as funding ran out and the Library shifted to new priorities, including the development of a World Digital Library (WDL). In 2016–2018, a small group of Library staff members, faced with the likelihood that both WDL and Frontiers would be shut down in the post-Billington era, mounted a successful effort to save the remarkable Frontiers content for permanent use by researchers and general users.
A Forecasting : Bitcoin Price with the ARIMA Method to Help Swing Traders Made Decision

Abstract: The economic situation is greatly affected by the pandemic. It causes people to look for ways to keep their money safe even if they can make a profit. One of the answers to that question is various investment products such as stocks, bonds, mutual funds, and cryptocurrency. Cryptocurrency or commonly called Cryptocurrency is a digital asset used to exchange. Cryptocurrency today has become a very remarkable phenomenon, especially since entering the era of the COVID 19 pandemic. Bitcoin is a digital currency created in 2009 by Satoshi Nakamoto. Cryptocurrency price movements have patterns and are predictable. The effort to make this prediction is called forecasting. Methods research on this paper using ARIMA methods. The forecasting results for the next five periods of the Bitcoin price show a linear line at the price of USD 48065.1.
On ‘Correct answer – dodgy method’

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The Research of Computer Network Security and Protection Strategy

With the broad notoriety of computer organize applications, its security is additionally gotten a tall degree of attention. Variables influencing the security of organize is complex, for to do a great job of network security could be an orderly work, has the tall challenge. For security and unwavering quality issues of computer arrange framework, this paper combined with practical work involvement, from the danger of arranging security, security innovation, network some Proposals and measures for the system plan rule, in arrange to create the masses of clients in computer systems to improve security mindfulness and master certain organize security innovation.
Parametric Synthesis of a Robust Controller for Maximising the Response of an Interval Control System

This paper presents a solution to the problem of the parametric synthesis of a robust controller that ensures maximum control response. Since the stability of a linear system determines its response time, the root approach and the criterion of the maximum stability degree are put forward to solve the above-mentioned task. As a method for the parametric synthesis of a controller, the coefficient method that uses interval coefficients of a characteristic polynomial of a system is chosen. Based on obtained sufficient conditions, the methodology of the parametric synthesis of a linear controller is developed. The designed controller can provide the quasi-maximum robust stability degree in the system subject to certain constraints on its oscillativity and minimum acceptable quality factor. The main contribution of this paper is to develop systems of inequalities for third-order interval control systems with a PI-controller for various constraints. The graphical solution to these inequalities allows finding optimal parameterizations of the controller. To validate the obtained theoretical result, the parametric synthesis of a robust PI-controller for third-order control systems at different limits is performed.Parametric Synthesis of a Robust Controller for Maximisingthe Response of an Interval Control System
Teaching Reading with KWL Strategy during Online Learning

This current study aimed at investigating the effect of KWL strategy towards the reading comprehension of second grade students at SMA N 1 Kintamani in online learning. This research was an experimental research with pre-test and post-test control group design. By involving XI IPS 1 as the control group which taught by using conventional method and XI IPS 2 as the experimental group which taught by using KWL strategy in teaching reading. The obtained data were descriptively and inferentially analyzed by using SPSS 23.0. In pre-test, the study found the experimental group (M= 56.28) showed higher mean score of reading comprehension rather than the control group (55.87). The result of t-test also revealed that the mean difference between experimental and control group in pre-test was not significant (α=&gt;0.05). Furthermore, in post-test the experimental group got better reading comprehension achievement than the control group. The result of the study found that the experimental group (M=74.32) got higher mean score of reading comprehension compared to control group (M= 61.16). The result of t-test also confirmed that the mean difference between experimental and control group in post-test was significant (α=&lt;0.05. In conclusion, KWL strategy gave a significant effect on the reading comprehension of second grade students at SMAN 1 Kintamani.
EEOC Survey Reports: Online Mediation Works. Online Mediation Is Better?

Alternatives to the High Cost of LitigationVolume 40, Issue 7 p. 106-120 ADR Brief EEOC Survey Reports: Online Mediation Works. Online Mediation Is Better? Mylene Chan, Mylene ChanSearch for more papers by this author Mylene Chan, Mylene ChanSearch for more papers by this author First published: 24 June 2022 https://doi.org/10.1002/alt.21956Read the full textAboutPDF ToolsRequest permissionExport citationAdd to favoritesTrack citation ShareShare Give accessShare full text accessShare full-text accessPlease review our Terms and Conditions of Use and check box below to share full-text version of article.I have read and accept the Wiley Online Library Terms and Conditions of UseShareable LinkUse the link below to share a full-text version of this article with your friends and colleagues. Learn more.Copy URL Share a linkShare onFacebookTwitterLinked InRedditWechat Volume40, Issue7July/August 2022Pages 106-120 RelatedInformation
When Quantum Meets AI

Today’s world runs with intelligence which we are calling artificial intelligence. In the same way, the mysterious concepts obtained from this AI could be solved with the help of Quantum. Quantum computing emerges artificial intelligence to introduce a new era of technology. The combinational approach will lead us to open new gates to innovations that help human life in the more comfortable zone. Quantum AI could solve difficult problems and able to build strong encryption algorithms which helps in the cyber security domain. In this way, there are many applications in which quantum AI gives support and would become the main pillar in that domain. This chapter discusses those applications as well as enriches the history of Quantum AI and gives a view on how these technology combinations work and help humans.
Distance Education in a Higher School: Difficulties according to the opinion of the students and teachers

The article defines the peculiarities of distance educational technologies application in the period of the new coronavirus pandemic and substantiates the necessity to monitor the processes of distance educational technologies application. The authors give an estimate of the degree of readiness of the higher educational establishments to the high-quality distance education, the assessment of the students’ academic load change was held when implementing the distance education, and the issues of change of the students’ motivation level to the distance education were considered. The conditions of the teachers’ on-site Internet access in the higher educational institution were assessed, as well as the level the students’ technical capacities for distance education. The authors classified the main issues faced by the teachers and students in the process of distance education, as well as presented the offers to improve the distance education organization. The following conditions for the distance education improvement were stated: provision of the students and teachers with high speed Internet, equipping the classroom with special distance learning facilities (notebooks, video hardware, touchpads, VR equipment, including creation and purchase of virtual laboratories), providing the teachers with technical facilities for distance work, teachers’ training in the field of information and computer technologies.
Implementation of CSRF and XSS Using ZAP for Vulnerability Testing on Web Applications

The security of Web applications is one noteworthy component that is often overlooked within the creation of Web apps. Web application security is required for securing websites and online services against distinctive security threats. The vulnerabilities of the Web applications are for the most part the outcome of a need for sanitization of input/output which is frequently utilized either to misuse source code or to pick up unauthorized access. An attacker can misuse vulnerabilities in an application’s code. The security of Web applications may be a central component of any Web-based commerce. The security of Web applications deals particularly with the security encompassing websites, Web applications, and Web administrations such as APIs. This paper gives a testing approach for vulnerability evaluation of Web applications to address the extent of security issues. We illustrate the vulnerability assessment tests on Web applications. Showing how with an aggregation of tools, the vulnerability testing broadcast for Web applications can be enhanced.
Speech and ICT Competence of a Teacher as a Tool to Improve the Guality of Distance Learning

The article discusses the development of distance learning as an alternative measure of education. Particular attention is paid to the degree of importance of the teacher’s professional competencies in the framework of distance learning, as a result of which the role of speech and information and communication competence is revealed. Modern education is increasingly faced with a distance learning format. The relevance of this phenomenon, the program for the modernization of Russian education and the focus of modern pedagogy on a competency-based approach dictate the need to highlight the most significant competencies that are fundamental for a teacher for the period of conducting a distance course. In the article, the author reveals the importance of a teacher’s ICT competence for choosing a format for conducting distance learning and creating a comfortable psychological and pedagogical virtual space for a student, and also emphasizes the relationship between speech and ICT competence, calling them the main levers of influence on the productivity of the educational process. When solving educational problems, professional pedagogical skills play a key role. The structure of pedagogical excellence consists of many interrelated elements, among which a significant place is occupied by the professional competencies of the teacher. It is not enough to have one or more competencies to improve the quality of education, so the competencies are closely related. Speech is the most important professional tool of pedagogical activity, both in traditional and distance learning. Speech communication is one of the main means of achieving the pedagogical task, including distance learning, and speech competence provides the teacher with the unconditional achievement of learning goals. Considering as the goal of distance learning the assimilation of a system of knowledge, abilities, skills, as well as the formation of a diversified personality of a student, the teacher is called upon to manage the process of its learning. Thanks to ICT competence, the teacher has the opportunity to most successfully build the educational process, and thanks to speech competence, to manage the educational process.
A High Telepresence Visual Perception Method Based on VR Technology, Depth Camera and Three Degree of Freedom Series Robot

In the system design of electric robot, in order to improve the realism and telepresence of robot control, virtual reality (VR) technology is introduced into the design process, which can bring better experience to users. This paper studies a high telepresence visual perception method, adopts VR technology, depth camera and three degree of freedom series robot, and designs the inverse kinematics solution and target scaling algorithm of the operating system, which is of great research significance for the visual design of electric robot.
Fast Interface with Ensemble Ternary Neural Network

The use of machine learning is expanding in various applications such as image processing in data centers. With the spread of deep learning, neural-network-based models have frequently been adopted in recent years. Because the processing speed is slow when evaluating machine learning on a CPU, a fast-dedicated hardware accelerator is often used. In particular, the demand for hardware accelerators in data centers is increasing. A low power consumption and high-speed processing are required in a limited space. An implementation method for a ternary neural network utilizing the rewritable look-up table (LUT) of a field-programmable gate array (FPGA) is proposed. Binary/ternary neural networks, which are quantized to 1–2 bits for mapping to LUTs, suffer from a poor recognition accuracy. To prevent a decrease in the recognition accuracy, let <tex xmlns:mml="http://www.w3.org/1998/Math/MathML" xmlns:xlink="http://www.w3.org/1999/xlink">$q$</tex> be the number of quantization bits to be stored in the LUT. The memory size of the LUT becomes <tex xmlns:mml="http://www.w3.org/1998/Math/MathML" xmlns:xlink="http://www.w3.org/1999/xlink">$O(2^{q})$</tex> bits, and it tends to be exponential in size. We improved the accuracy using an ensemble ternary neural network. There are various ways to select data for ensembles during training, and various ways to select branch pruning for trivialized neural networks. We chose the greedy method for our design. An evaluation using various benchmark datasets showed that the ensemble approach achieved a recognition accuracy equivalent to that of the 32-bit float model. We also estimated the amount of memory required to implement an LUT for an ensemble ternary neural network. The size of the LUT is 1.9 Mbit, which can be realized on the current FPGAs.
MoDa: Designing a Tool to Interweave Computational Modeling with Real-world Data Analysis for Science Learning in Middle School

Coordinating modeling and real-world data is central to building scientific theories. This paper examines how a complementary focus on modeling and data contributed to 8th grade students’ learning of mechanisms underlying wildfire smoke spread in MoDa, a web-based environment that integrates computational modeling side-by-side with real-world data for comparison and validation. Epistemic network analysis of student responses in pre-post tests revealed a shift from primarily macro-level explanations to explanations that integrated macro and micro-level explanations of the phenomenon. Video data analysis revealed three design elements that contributed to student learning: Naming of the blocks, match between data and model visualization, and collective reflections on models. We reflect on implications for the design of environments that integrate computational modeling with real-world data analysis.
BECON – A Blockchain and Edge Combined Network for Industry 4.0

With the quantity of internet-connected devices increasing and as IoT (Internet of Things) is gaining popularity, the degree of data and information collected by IoT sensors is incredibly high and needs large amounts of resources for processing and analysing the data. Edge processing permits the sensor data to be processed nearer to its source. But, resource constraints of edge computing give rise to new obstacles for regular data storage, transmission, and protection. This paper performs a survey on various implementations and researches made by professionals and institutions to analyse this innovative alternative. We also propose the utilization of a blockchain- based localized application to modify IoT edge processing. With this setup, we generate the possibility for a resource owner to hitch the system and to lend the computer resources as per requirement. The paper aims to depict the advantages of an integrated system of blockchain and edge-based offers over a network without blockchain. We aim to improve the security factor of transactions carried out on the edge network, reduce the utilization of computational power and increase scalability. The survey performed by the authors is focused on learning the advantages and drawbacks of this choice. Implementation of this framework is demonstrated using IOTA- a non-profit open-source technology organization and Tangle. Tangle is a distributed, open and scalable ledger, it supports frictionless data and transfer of value.
MSR54 Multi-Task Learning in Click-through-Probability (Multi-CTP) Prediction for Real-World Digital Content Recommendation

To develop a predictive deep learning model structure (Multi-CTP) to handle extreme sparse data, for the start stage of content recommendation in healthcare digital marketing and education. The multi-task learning approach alleviates the learning pressure and improves the performance of the recommendation system, by using existing data to build auxiliary tasks and models to provide better feature representations of the main task.
The Integrated Framework of Environmental Internet of Things Based Recruitment Process and the Impact Created by IoT in Inventory Management

The internet of things (IoT) is focused in offering new technologies which is changing the business environment by showing the potential in different sectors like retail, transportation, healthcare etc. Through IoT, the managers can gather and process data and information in an effective manner, also they can use them to automate in order to enhance productivity and efficiency. With the usage of such technologies, human resource managers can access information for possible candidates which can be accessed through IoT. The overall behaviour of potential candidate tends to help them in shortlisting and choosing the desirable ones. The application of IoT has emerged in enhancing the recruitment of candidates in search of candidates based on large volume of information, assist in screening the candidates, selecting the most suitable ones. The application of IoT technology can modify the HR roles, enable in changing the company perspective in enhancing recruitment process, source the candidates effectively and select them so as to meet the organisational requirements. The implementation of IoT driven technologies support in removing the biases in screening the candidates and aids in candidate selection with the support of other technologies like artificial intelligence, predictive analytics etc. Furthermore, IoT is also involved in better inventory management as it supports the organisation in converting the data which are sourced through RFID (Radio Frequency Identification) into more insights related to inventory data, location of the products, tracking the movement of goods until it reaches the hands of the customers. With the application of IoT inventory managers possess better control in managing the inventory through automated ordering request and thereby reduce manual time and cost for the business. This paper is focused in presenting a conceptual understanding on the application of environmental IoT in recruitment process and also the overall impact created by the technology in managing the inventory efficiently.
Internet of Things Enabled Health Monitoring System for Smart Cities

Prior to Internet of Things (IoT), interactions of patients with doctors or physicians had been restrained to visits, textual and tele communications. There was no chance doctors or physicians could monitor patients’ health constantly and give advice accordingly. IoT-empowered devices have made remote screening in the healthcare sector promising; unleash the ability to keep patients protected and healthy and engaging doctors to convey the standout care. It has additionally accelerated patients meeting and delight as communications with physicians have come to be simpler and steadily proficient. Moreover, remote screening of patients’ health helps to diminish time-span of hospital stay and stops re-admissions. IoT additionally has a major role in reducing healthcare cost considerably and improving remedy outcomes. IoT is absolutely remodelling the healthcare sector via reanalyzing the space of devices and individuals’ communication in conveying healthcare solutions. Applications of IoT in healthcare which benefit patients, families, physicians, hospitals, and physically challenged persons have been discussed in this chapter.
Exploring teachers’ perceptions on the operation of elementary school basic English programs

This study explored teachers’ perceptions of the operation of elementary school basic English programs. Basic English programs have been implemented as an important component of the elementary English enhancement policy. This study investigated the teachers’ satisfaction level and the effectiveness of the basic English programs to understand the current situation and evaluate the effectiveness of the policy. The findings showed that teachers mainly utilized the “system for the diagnosis and learning support of basic English ability” when diagnosing students’ English achievement levels. Furthermore, most teachers showed positive perceptions about the level of infrastructure and program operation, but this varied by the size of the region. The effect of basic English programs for improving students’ interest in English and self-directed learning ability was relatively lower in the schools in rural areas than in large cities.&#x0D; Lastly, the majority of teachers demanded support for more teaching and learning materials and program management. This paper concludes by asserting the need for sophisticated support for basic English education at elementary schools, focusing more carefully on the circumstances of the size of the region.
CAVI: A Coadaptive Audiovisual Instrument–Composition

This paper describes the development of CAVI, a coadaptive audiovisual instrument for collaborative human-machine improvisation.We created this agent-based live processing system to explore how a machine can interact musically based on a human performer's bodily actions.CAVI utilized a generative deep learning model that monitored muscle and motion data streamed from a Myo armband worn on the performer's forearm.The generated control signals automated layered time-based effects modules and animated a virtual body representing the artificial agent.In the final performance, two expert musicians (a guitarist and a drummer) performed with CAVI.We discuss the outcome of our artistic exploration, present the scientific methods it was based on, and reflect on developing an interactive system that is as much an audiovisual composition as an interactive musical instrument.