Reviewerly/exHarmony huggingface dataset:
PENERAPAN METODE KWL (KNOW-WANT TO KNOW-LEARNED) UNTUK MENINGKATKAN MOTIVASI BELAJAR DAN KEMAMPUAN MEMBACA PEMAHAMAN

This study deals with the application of KWL (Know-Want To Know-Learned) method to improve learning motivation and reading comprehension ability grade VB students of SD Negeri Cileles Jatinangor Sub-district, Sumedang. The general purpose of research is to describe the application of KWL method to improve learning motivation and reading comprehension ability. Specifically, the purpose of this study describes the planning, implementation and improvement of learning motivation and reading comprehension skills of children's stories on Indonesian subjects after applied KWL method. The research method used in this research is Classroom Action Research (PTK ) Kemmis and Mc model. Taggart which is implemented in three cycles. Data collection techniques used are documentation techniques, observation, interviews and tests. The result of research by applying KWL method in Indonesian Language subjects can increase students motivation and improve students reading comprehension, as evidenced by the students learning motivation in cycle I, the average indicator of students' learning motivation is only 63.8%. In cycle II, the mean of student learning motivation indicator is only 71,2%. In cycle III, the average indicator of student's learning motivation increased to 75.4%, and increased 4.2%. The average value and the percentage of learning completeness in cycle I average score reached 63.75 with the percentage of learning completeness 41.6%, in the second cycle the average score reached 69.7 with the percentage of learning completeness 66.6%, and in cycle III the average value reached 71.6 with 87.5% complete learning percentage. Based on the research, some recommendations that can be submitted include teacher must study KWL method first before implementing learning, teacher can apply KWL method for other subjects, principal must provide infrastructure which support learning activity applying KWL metede, and for further researcher if will apply the KWL method then it should examine or master the theories about the KWL method and may try to apply the KWL method to other subjects.
Efficient Compression Schemes for Double Random Phase-encoded Data for Image Authentication

Encrypted images obtained through double random phase-encoding (DRPE) occupy considerable storage space. We propose efficient compression schemes to reduce the size of the encrypted data. In the proposed schemes, two state-of-art compression methods of JPEG and JP2K are applied to the quantized encrypted phase images obtained by combining the DRPE algorithm with the virtual photon counting imaging technique. We compute the nonlinear cross-correlation between the registered reference images and the compressed input images to verify the performance of the compression of double random phase-encoded images. We show quantitatively through experiments that considerable compression of the encrypted image data can be achieved while security and authentication factors are completely preserved.
Emergence of Human-Centric Information Security – Towards an Integrated Research Framework

In this poster, we first summarize the evolution of information security research as three stages of information security development: technology-centric, economics-centric, and the emerging trend of human-centric. We identify the main contributors and outputs of each stage. Based on this understanding, we present an integrated research framework termed Integrated Model of Human-Centric Information Security (iMOHCIS), which systematically incorporates various factors that influence human brain functions, and illustrates how human brain activities eventually lead to actual information security behaviors. This iMOHCIS framework focuses on human-centric information security at individual agent level. We then extend it to incorporate multi-agent interactions in two significant dimensions: qualitative dimension and quantitative dimension. The iMOHCIS framework and its extension capture the essence of the emerging human-centric information security, provide a comprehensive framework for understanding human elements in information security, and generate a systematic approach to identifying significant research questions related to human-centric information security. This framework also provides a foundation for human-centric information security education curriculum design.
Development of Alarm Prediction System for Monitoring Steam Turbine Based on SCADA Data

A steam turbine is a critical machinery in power plants for generating a driving force of a generator.The high reliability of the turbine is a must to guarantee the availability of power plant in producing electricity.Therefore, a turbine condition monitoring (CM) system is needed to access real conditions and the health state of such equipment.Even though many CM systems have been developed, however, the current system was set up manually based on a determined threshold that was adopted from standard or best practice.The CM system that automatically generates the true alarm based on the performance of the generator is still rare.In this paper, an automated alarm system that uses the power output of a generator as a reference has been developed.The data for developing the alarm system is vibration data acquired by the SCADA system that is a very famous data acquisition system used in the industry.Furthermore, the method of developing such an alarm system is machine learning (ML) through a long short-term memory (LSTM) network.Validation of the proposed method has been conducted using a real system of SCADA data for training the LSTM.The trained LSTM is then used to generate an alarm system based on predicted data for turbine condition monitoring.The results show that the alarm generation and prediction give a plausible performance measured by RMSE.
Intuitionistic Fuzzy Translations of Implicative ideals of BCK- Algebra

The notion of fuzzy translations was introduced by Jun et.al., as an extension of fuzzy set. In this paper, the concept of intuitionistic fuzzy translation to Intuitionistic fuzzy implicative ideals and Intuitionistic fuzzy commutative ideals in BCK-algebras is introduced and investigated some of its properties.
COVID-19 Could Accelerate Government Adoption of AR, VR Tech

As the demands of remote government work extend from weeks to months, public-sector agencies must begin exploring tools like augmented and virtual reality for improved communication and collaboration.
A User Interface for Exploring and Querying Knowledge Graphs (Extended Abstract)

As the adoption of knowledge graphs grows, more and more non-experts users need to be able to explore and query such graphs. These users are not typically familiar with graph query languages such as SPARQL, and may not be familiar with the knowledge graph's structure. In this extended abstract, we provide a summary of our work on a language and visual interface -- called RDF Explorer -- that help non-expert users to navigate and query knowledge graphs. A usability study over Wikidata shows that users successfully complete more tasks with RDF Explorer than with the existing Wikidata Query Helper interface.
UJI DISTRIBUSI SEMPROTAN SPRAYER PESTISIDA DENGAN PATTERNATOR BERBASIS WATER LEVEL DETECTOR

The research aimed to examine droplet distribution using a knapsack sprayer with a water level detector-based patternator. The tests consist of measuring spraying discharge, effective spray wide and height, droplet distribution pattern and area, and traveling speed. The sensor calibration showed that the system read the liquid volume in the container with R2 = 0.99 at a linear curve: y = 2.572 + 2.502x. The spray discharge was 0.033 L/s. The optimal spray was at 60 cm-nozzle height with effective spray wide and height were 0.64 m and 0.344, respectively. The spray distribution pattern illustrated that nozzle height affected droplet areas. The traveling speed due to nozzle height at 40 to 70 cm was 0.29 to 0.58 m/s, and had a line-up tendency, whereas spraying capacity was declined 1298 to 562 L/Ha.Keywords: Spray distribution, patternator, sprayer, water level detector
Generative Models for Content Creation

Author(s): Lee, Hsin-Ying | Advisor(s): Yang, Ming-Hsuan | Abstract: Content creation can be broadly defined as a way of conveying thoughts and expressing ideas through some medium such as speech, text or any of various arts. The general goal of content creation is to generate contents that make the information accessible and understandable to audiences. In recent years, with the rapid progress in artificial intelligence, it has become an inevitable fact that the future of content creation is a powerful blend of machine technology and human creativity. However, it remains extremely challenging for machines to truly emulate what a content creator does. Therefore, instead of attempting to take over the role of professional content creators, we aim at (1) how to shorten the gap between professional content creators and general users with the help of machines, and (2) how to leverage machines to facilitate the creation process. In this work, we propose efficient algorithms based on generative models to tackle several content creation tasks that are originally time- and money-consuming. First, we address the problem of image-to-image translation. We propose a disentangled representation image-to-image translation (DRIT) framework to perform diverse translation without paired training data. Our model disentangles images into a domain-invariant content space and a domain-specific attribute space to enable diverse translation. Furthermore, to improve the diversity of the generated images, we propose a simple yet effective model-seeking regularization term. The proposed regularization term can serve as a plug-in term to various conditional generation tasks. Second, we address the music-to-dance translation task. Given an input music clip, we aim to generate a corresponding dancing sequence. We propose a synthesis-by-analysis learning framework. We first learn to perform basic movement, then learn how to combine basic. movements based on input music. The generated dancing sequences are consistent to the input music clips in terms of music style and audio beats. Third, we address the design layout generation task. Given a set of desired components as well as user-specified constraints, we aim to generate visually reasonable and appealing layouts. We propose a multi-stage framework. We first learn to predict complete relationships among components given the user-specified constraints, then we predict bounding boxes of all components. Finally, we finetune the prediction to further improve the alignment and visual quality.
Expert System Diagnose Disease Persian cat with Bayes Theorem Method

Lack of knowledge of the disease and the limitations Pesia cat disease management is often experienced by the owners of Persian cats. Therefore it is necessary to act / respond quickly to prevent infection with the disease more serius.Teorema Bayes is a method used to predict the probability. Therefore, in this study will be analyzed Persian cat disease data using Bayes theorem using four diseases areFeline Leukemia Virus, Worms, Cat Flu and Mushrooms Cryptococus. Based on these descriptions, we need a system that can represent an expert who has the knowledge base and experience of the Persian cat disease, which is an expert system. Developments in information technology more widely and rapidly. So much in use in various fields. That accompanied the information technology internet support each other resulting in increased web-based technologies
YANG Data Types and Groupings for Cryptography

This document presents a YANG 1.1 (RFC 7950) module definingidentities, typedefs, and groupings useful to cryptographicapplications.
Tech Services Online

This column highlights current websites and other online resources relevant to technical services librarianship. We welcome new reviewers, comments, and suggestions. Please reach out to the editor,...
The Influence Of Parental Attention and Learning Interest Towards Learning Achievement

The purpose of this study was to determine the effect of parents' attention on learning achievement in English and the effect of learning motivation on learning achievement in English. Furthermore, to determine the effect of parents' attention and motivation to learn together on learning achievement in English. The research method used was a survey. The sample size was 52 students, with the sampling technique used was random sampling. Hypothesis testing with 2-way ANOVA test.. The results showed: 1.) There was a significant influence of parents 'attention and learning interest learn together on students' English learning achievement at MTsN East Jakarta, as evidenced by the value of Sig = 0,000 <0.05 and F count = 27.525. 2.) There is a significant influence of parents 'attention on students' English learning achievement at MTsN East Jakarta, as evidenced by the value of Sig = 0.000 <0.05 and t value = 3.360. 3.) There is a significant influence of learning interest on students' English learning achievement in MTsN East Jakarta, as evidenced by the value of Sig = 0.000 <0.05 and t value = 3.604. Parental attention and learning motivation have a significant effect on learning achievement.
Variational Bayes in Private Settings (VIPS) (Extended Abstract)

Many applications of Bayesian data analysis involve sensitive information such as personal documents or medical records, motivating methods which ensure that privacy is protected. We introduce a general privacy-preserving framework for Variational Bayes (VB), a widely used optimization-based Bayesian inference method. Our framework respects differential privacy, the gold-standard privacy criterion. The iterative nature of variational Bayes presents a challenge since iterations increase the amount of noise needed to ensure privacy. We overcome this by combining: (1) an improved composition method, called the moments accountant, and (2) the privacy amplification effect of subsampling mini-batches from large-scale data in stochastic learning. We empirically demonstrate the effectiveness of our method on LDA topic models, evaluated on Wikipedia. In the full paper we extend our method to a broad class of models, including Bayesian logistic regression and sigmoid belief networks.
Organization of Cataloging Units in Academic Libraries

"Organization of Cataloging Units in Academic Libraries." Technical Services Quarterly, 37(3), pp. 337–338
On the Regulatory Support of Applied Pedagogical Bachelor Degree in the Republic of Kazakhstan

The article discusses some problems of the implementation of applied pedagogical bachelor's degrees in the conditions of integration of higher and post-secondary pedagogical professional education of the Republic of Kazakhstan as the development of the education system is a priority, as investment in education which is a key to the well-being of society as a whole. Education that constitutes a major investment into human capital, is also a key driver of economic growth. In an integrated dynamic global market place, education systems should continually improve and work to adapt to changing circumstances. In general, the goal of the Kazakhstan education system is defined as “increasing competitiveness of education and development of human capital through ensuring access to quality education for sustainable economic growth.”
Assessment of Cybersecurity Competition Teams as Experiential Education Exercises

articles and over 120 full conference papers, in addition to making numerous other conference presentations.Straub's research spans the gauntlet between technology, commercialization and technology policy.In particular, his research has recently focused on cybersecurity topics including intrusion detection and forensics, robotic command and control, aerospace command and 3D printing quality assurance.Straub is a member of Sigma Xi, the AAAS, the AIAA and several other technical societies, he has also served as a track or session chair for numerous conferences.
LibGuides: DIY Success: Library 101: 2020 New Student Orientations

Quick start guide the library resources and services to help you succeed at Cal State East Bay
Automated Performance Indicator System for CI/CD &amp; DevOps Developers of Software Industry using Python

Github is the medium to collaborate on the projects and it is very important for the professional developers and the individuals who are working on the projects together. In more technological language it is termed as Web based VCS or Version Control System. During these tough times like COVID19 all the people are requested to stay at home and work from there only. In this case the individuals who are working on their own can do their jobs in old fashion and they are not going to face many issues as they are the sole creator and manager of their work. But this paper focuses on the people who are working in collaboration on some project. Before this pandemic people were working on the projects locally and there was no need of any additional platform as many organizations have their own framework/platform to collaborate and develop the software product but it is not possible now. While working locally, on company's platform, it is quite easy to track progress and the work done by individual. This paper emphasizes the use of Github for that purpose and proposes the methodology for keeping record the performance of the individual and the team.I.
Data scraping from facebook fanpages program

The purpose of this study was to develop the data collecting program of fanpages on Facebook supporting displayed-changes without software development. The employed program focused on the data collecting program of fanpages on Facebook for the reason that there were a large number of users for specific purposes; for example, the fanpages dealing in fashionable bags on Facebook had a great many of customers being interested in anything baglike etc. The program was set to determine the series of Tag HTML of the model fanpages and applied to other fanpages as the target group for the data collecting. The developed program was used for accuracy assessment. A sample of 20 fanpages on Facebook were drawn from the fanpages dealing in fashionable bags online using simple random sampling method. The findings indicated that 19 fanpages on Facebook were allowed to access topics provided thoroughly; nevertheless, 1 fan page revealed 4 topics only such as ID names, total of LIKE numbers, total of comments, and dates of posting and access. In addition, there were 2 topics containing the missing data. The picture links attached were not displayed because of the inability to connect to the sources, and the lack of access texts posted was caused by using texts blending. Based on the findings of this investigation, it was concluded that the data access reached the accuracy by 98.5%. Further research is recommended to emphasize the variety of the model fanpages in order to increase the accuracy and efficiency of the program. Furthermore, using artificial intelligence technology can result in more effective data analysis. It should be noted that the model fanpages must be well-selected with a wide range of specific texts.
Pengembangan Video Motivasi Untuk Meningkatkan Literasi Peserta Didik Pada Pembelajaran PAI di SMK Nurul Qur’an Pati

Writing this paper entitled "Development of Video Motivation to Increase Student Literacy in Islamic Learning in Madrasah Aliyah". This writing aims to produce innovative and contextual learning media for the material presented and so that students are also able to literate in understanding the purpose of the video content independently. Islamic Learning is successful in supporting students to be able to answer the purpose of the lesson, the ability of individuals to process information, and knowledge for life skills called literacy. In developing the evaluation of this paper, the writer uses the literature study method. Based on the data from the study results, it can be seen that the learning media based on audiovisual or video that does not motivate students can improve the ability of students to titrate. Can the objectives of learning Islam can be achieved.
REMITTANCES AND FINANCIAL INCLUSION IN AFRICA: A LONG RUN APPROACH

This paper examines the link between migrant remittances and financial inclusion in Africa.Our sample consists of 29 African countries from 2004 to 2017.Using a system GMM and a Pooled Mean Group (PMG), we find that migrant remittances have a negative short-term but positive long-term effect on financial inclusion.In addition, migrant remittances increase access to financial services in the long run.However, remittances have a negative effect on the use of financial services.To benefit from migrant remittances, it would be useful to lower the transaction costs of migrant remittances and adopt financial instruments that can better channel these flows to productive sectors.
Blockchain Technology – Support for Collaborative Systems

Blockchain technology is one of the most promising new technology, a new approach in data registration and distribution, and represents a new paradigm for how information is shared.Blockchain technology gained attention after the first application of this technology -Bitcoin blockchainwas deployed.The tech community considers that blockchain is one of the most disruptive technologies and saw more possibilities of using it in many other sectors.The technology can create trusted, secured, transparent, verifiable, real-time communication networks capable to support almost everything, from payments networks to supply chains, real estate deals, healthcare data sharing, voting systems protected from falsification, etc.This paper aims to briefly present the blockchain technology and how it could be applied in a collaborative system in the healthcare industry.
Dual Task Interference During Walking After Ten Days Of Complete Physical Inactivity

Prolonged physical inactivity or immobilization after sports injuries and/or surgery can lead to severe cognitive and motor disorders that prevent rapid recovery and lead to future falls. Previous studies have shown that gait control provides the demand for cognitive centers of the brain and that dual-task assessments may indicate an increased risk of falling or a protection strategy to prevent falls. PURPOSE: To determine to which extent walking and walking while texting ability deteriorates after prolonged physical inactivity. METHODS: Ten healthy young volunteers successfully completed 10 days of horizontal bed rest with 24h video and medical monitoring. Gait speed parameter was obtained with the 2D OptoGait system (Microgate, Italy, EU) under four different conditions in a random order: self-selected and fast paced walking condition with (dual-task) and without (single-task) typing on the smartphone. RESULTS: Ten days of horizontal bed rest had no significant impact on the self-selected gait speed in single- (-5.7%; p=0.190) and dual-task conditions (-4.0%; p=0.339). In contrast, bed rest significantly decreased gait speed in fast paced walking condition in single- (-9.9%; p=0.009) and dual-task conditions (-10.3%; p=0.002). CONCLUSION: Our results show that bed rest reduces gait performance and that the effects are greater for tasks that require more attentional resources - tasks with higher complexity. The results can be used for the future development of effective rehabilitation countermeasures.Supported by ASI, MARS-PRE Project, n. DC-VUM-2017-006.