Reviewerly/exHarmony huggingface dataset:
NT-ODP Theoretical Model Extension

Inside organizations (enterprise, administration, etc.), operation/management and decision-making activities use dependently different types of information. The organization-information interactions are generally divided into five main operations (storage, manipulation, security, communication, and management) and employ IS (information system) and/or ICTs (information and communication technologies) that represent the major uses of new technologies (NT) inside organizations. Technically, the modernization of information exploitation inside organizations, through NT, is still an interesting research topic where questions mainly concern the concepts such as information, data, IS, and ICTs themselves (definitions, mutual relations, locations, etc.). This paper presents an extension of the basic theoretical model NT-ODP which illustrated the possible relations which could occur inside organizations, between new technologies (NT) tools and the organizations digital patrimony (ODP). By modifying the way in which the fundamental aspects of the basic model are applied, this new extension aims to illustrate the accurate manner in which to organize the different departments of an organization in order to be able to profit effectively from the organization digital patrimony.
INCREASING STUDENTS’ VOCABULARY OF SEVENTH GRADE AT SMP N 1 GALANG THROUGH WORD WALL MEDIA

The objective of the research is to prove whether word search puzzle can be applied to increase students’ vocabulary. This pre-experimental study uses 22 students as a sample. They are grade VIID of SMP N 1 Galang. The procedure of this research consists of pretest, treatment, and posttest. The result of the analysis shows that word wall media contribute greatly to the students’ vocabulary. It can be seen by the difference of the mean score between pre-test and post-test. The mean score of pre-test was 61.545 while in the post-test improved up to 75.727. The data of this research are analyzed by using SPSS Program version 16.0. Then the data of both tests are analyzed by using T-test, and the result shows that the T-test value 6.172 is high than T-table value 2.831. It can be inferred that word search puzzle was very effective to increase students’ vocabulary.  Keywords:  Increasing, vocabulary, word wall media
Analysis of Environmental Conditions and Its Effects Towards The Success of Student Learning in Senior High School in Subdistrict Kampar Timur

This study aims to analyze the environmental conditions and their influence directly and indirectly on the success of student learning in high schools in Kampar Timur Subdistrict. The data used consists of primary and secondary data. The data is collected using questionnaires and documents. The study population was 567 high school students in Kampar Timur Subdistrict with a sample of 235 students taken by proportional random sampling. The analytical method used is path analysis. The results of the analysis show that family environment and community environment variables directly influence the school environment by 13.54% and 4.58%. Then the variable school environment, family environment and community environment affect the success of learning. The direct effect of the school environment on learning success is 24.70%. While the total direct and indirect influence of the family environment is 12.82% and the community environment is 4.84%.
Quantum gating at a distance

Quantum SystemsThe processing of quantum information is reliant on the encoding and manipulation of quantum states of a qubit. Superconducting circuits are the most advanced platform at present, but there is an issue with cross-talk between the qubits and the challenge of error correction as the systems are scaled up. Another approach being pursued is a modular platform in which the qubits are spatially separated. Daiss et al. demonstrate the operation of a quantum gate in which one qubit conditionally controls the state of another qubit spatially separated by 60 meters (see the Perspective by Hunger). Because the approach is platform independent, it could be extended from the demonstrated neutral atoms to ions, impurity vacancy centers, or even a combination of these qubits.Science , this issue p. [614][1]; see also p. [576][2] [1]: /lookup/doi/10.1126/science.abe3150 [2]: /lookup/doi/10.1126/science.abg1536
The relationship creativity with achievement student’s girl and boy majoring at Humanities, Mathematics and Science

This study aimed at studying the relations between creativity of male and female high school students majoring at Humanities, Mathematics or Science with their academic achievement. 320 students (176 male and 144 female) were selected through cluster sampling who responded to creativity questionnaire. Academic achievement was measured by students’ GPA. Data were analyzed through Pearson Correlation Coefficient, Stepwise regression Analysis and Analysis of Variance. Results revealed Fluidity and Expansion, as components of creativity, were respectively the most powerful predictors of academic achievement. Multivariate Analysis of Variance showed components of creativity were not different by students’ major of study. Additionally, results of Analysis of Variance indicated there were no gender differences in components of creativity. This research provides useful and effective evidence to principals, teachers, and educational planners that forces them to pay special attention to creating an environment based on mutual trust and respect in schools, and that they have an understanding of ability. Have different people and talents and pay attention to these individual differences in teaching, evaluation and academic guidance, and allow the student to express and develop his / her abilities. This personal and individual attention to and providing a relatively calm atmosphere enables students to discover themselves, which may lead to the concept of self-concept, and apart from this growth and flourishing, individual skills affect academic performance.
Software Quality Assurance of Cyber Society v1.0 to support online learning during the COVID-19 Pandemic

In this paper, we present the result of software quality assurance of the Cyber Society v.1.0. This paper is a continuation of the previous work. The Cyber Society is built by using the Massive Open Online Courses (MOOCs) model. This website is a development in the practice of technology-based learning during the COVID-19 Pandemic in Indonesia. The objectives of this study are functionality, reliability, efficiency, maintainability, and usability testing.Based on the results of this research, it can be concluded that: (1) the result of functionality testing has a scale that the percentage obtained is 99.5%; (2) the results of the reliability testing is the very good quality; (3) based on the result of the efficiency testing, especially the response time on the typical website is strong, with adequate response time only on the course page; (4) runs well and with very good results satisfies the portability aspect; and (5) the result of usability testing has a category. Therefore, based on the testing of aspects through Software Quality Assurance (SQA) using the ISO 9126 model to test the feasibility of this software, it can be concluded that The Cyber Society website can be categorized as feasible.
SSHOC D8.2 Certification plan for SSHOC repositories

This report is the first deliverable of Task 8.2 “Trust & Quality Assurance” within WP8 of the SSHOC project. The distributed character of data infrastructures within the SSHOC communities requires developing an agreed approach to assessing the trustworthiness and quality of data repositories. This deliverable provides an overview of Trusted Digital Repository (TDR) standards offering a certification framework for communities represented in the SSHOC project (CESSDA, CLARIN, DARIAH, E-RIHS). Moreover, the deliverable lays the ground for the SSHOC trust work that is needed in order to facilitate the adoption of TDR standards and the FAIR principles in SSH data repositories across the board. In this report, ‘trust’ refers to the landscape of issues, standards and processes related to trustworthy digital repositories. Trust between all parties in the quality of data and services is critical for research infrastructure in terms of people, processes and technologies. The level of trustworthiness can be assessed through evaluation against agreed requirements.
Impact of Artificial Intelligence on demand Forecasting in Supply chain Management during COVID-19

COVID -19 has bought in lot of damage to the supply chain as companies have not been able to respond to rapidly increasing consumer demand, limited products supplied and changes in workplace rules .The war against COVID-19 has made us to come with innovative solutions. The application of AI in supply chain related task holds high potential for boosting top line and bottom line value. Companies today at even at the enterprise level have started implementing AI tech into every day supply chain tasks. It’s a lousy time for companies to start looking, but AI can help them to enable their efforts. If more Industry can adopt technology in their operation, Supply chain could become a green industry in no time.AI in these uncertain times will help to accurately forecast the demand and will help to meet those demands. What this pandemic has shown us is that integration of Artificial intelligence and supply chain management applications helps automate decision-making, Improve efficiencies and better utilization of human resources.
Bi-Lateral Interactive Device for Deaf

Abstract This paper proposes an assisting system which will help hearing impaired people to communicate with normal people so that world could understand them better. This basically converts Indian sign language to speech and then the corresponding speech from the normal person will be translated into sign language, by this way our system eliminates the need of a third party and reduces the discomfort in the interactions. Gestures from deaf serve as the input to the system which will be captured by camera. Using image processing techniques and machine learning, gestures are being recognized, extracted and identified with the help of a raspberry pi module. Keywords: Image Processing, Raspberry PI, Machine Learning Cite this Article Aswathy S., Jameema C.K., Suhail K.T., Nahan Rahman M.K. Bi-Lateral Interactive Device for Deaf. Journal of Software Engineering Tools & Technology Trends . 2019; 6(2): 1–4p.
SECOND ORDER ILLATA AND PATTERN ONTOLOGY

Second order illata were introduced into the theory in order to explain the possibility of the development of a structurally unique theory (R. David) by analogy with the traditional ideas about the underdetermination of the theory by data. The ontology of patterns (D. Dennett, J. Ladymen) changes the usual «non-systematic» view of the ontology of science, that allows to deny the necessity of the second order illata and to present the development of the structurally unique theory in a more traditional way, but already within the framework of an «interpretative» approach of understanding ontology.
Sistem Informasi Perpustakaan Berbasis Web (Studi Kasus: Perpustakaan Medayu Agung Surabaya)

Medayu Agung Library is a library located on Jl. Medayu Selatan IV / 42-44, Rungkut, south of Surabaya, the flow of the process there is still done manually such as searching books in catalogs and borrowing books so that users must bother to queue to see the catalog if you want to borrow. In designing and building this library information system using the waterfall method. The system design process uses the ICONIX Process with the stages of making use cases, use case text, sequence diagrams and class diagrams. The system development process uses the MVC (Model View Controller) architecture model with a laravel framework. While the system testing method uses the black box method. The library information system is expected to help the Great Medayu Library to provide maximum service so that the flow of information between librarians and librarians becomes better. Library information systems can also help librarians in recording data on existing transactions.
LibGuides: Virtual & Augmented Reality: Home

Learn about Virtual and Augmented Reality, and services available at the Nexus Collaborative Learning Lab!
Pemodelan Sistem Informasi menggunakan Togaf ADM dari Preliminary Phase sampai dengan Phase D pada Sistem Penerimaan Mahasiswa Baru di Universitas X

Information System Modeling using Togaf 9.1 from Preliminary Phase to Phase D which is applied to the Application of Student Admission at X University is done because there is no modeling related to the application for New Student Admissions. long time to practice and use this New Student Admissions application. And also there are some obstacles faced by some users when using this New Student Admissions application. This modeling is done to design an enterprise architecture that can be in the form of an information system design to support the course of the New Student Admissions process. This modeling is carried out using the TOGAF ADM framework in TOGAF 9.1 starting from Preliminary Phase, Phase A, Phase B, Phase C and, and Phase D. With the results of this modeling it is expected that X University can implement this architecture architecture for the process and application of New Student Admissions which is expected to help X University in the future so that this process can run even better.
Digital Signage Message Best Practices and Guidelines

Please familiarize yourself with the digital signage best practices for creating an effective message for Fordham University’s digital signage system.
AUGMENTED REALITY TARI JAIPONG

Abstracs The use of information technology, applications based on android, especially in the field of cultural preservation education can be used as a means to improve the quality of culture, both education through formal education and informal education. Augmented reality is one of the newest technologies in delivering information. Generally, applications that apply Augmented reality technology aim to provide information to users in a clear, real-time and interactive manner. In the field of art education, Augmented reality can be used as a medium for cultural preservation, one of which is to preserve regional dances which are cultural heritage that we must protect. Jaipong dance modeling into three-dimensional form using the Makehuman application, which is driven by the Blender application. Unity and Vuforia are used to combine and build all assets into an Augmented Reality application. By utilizing AR technology, it is hoped that the community will be more enthusiastic and interested in the jaipong dance which is a cultural heritage of West Java which has been inserted with augmented reality technology so that people can see the image through the three-dimensional image displayed on an Android device without having to come far to the art studio, so that the jaipong dance still exists using sustainable technology. Keywords: Information Technology, Android, Augmented Reality, Makehuman, Blender, Unity, Vuforia, Sustainable Technology
LibGuides: ACRL, IPEDS, and National Surveys: Support Tools

Support guides and tutorials for PALNI libraries completing the ACRL, IPEDS, and other national surveys.
LibGuides: Advertising Research And Planning for Your Business: THE ADVERTISING PLAN

This guide intends to show the basic thought process of creating an advertising plan and to help you find information in the library's databases.
On Informative Tweet Identification for Tracking Mass Events

Twitter has been heavily used as an important channel for communicating and discussing about events in real-time. In such major events, many uninformative tweets are also published rapidly by many users, making it hard to follow the events. In this paper, we address this problem by investigating machine learning methods for automatically identifying informative tweets among those that are relevant to a target event. We examine both traditional approaches with a rich set of handcrafted features and state of the art approaches with automatically learned features. We further propose a hybrid model that leverages both the handcrafted features and the automatically learned ones. Our experiments on several large datasets of real-world events show that the latter approaches significantly outperform the former and our proposed model performs the best, suggesting highly effective mechanisms for tracking mass events.
Usage Space Sampling for Fringe Customer Identification

With large numbers of available customers, it is often essential to select representative samples for reasons of computational cost reduction and upstream advanced data analytics.However, for many analytical procedures, the usage behavior observed from a smaller sample of customers must indicate well the fringe of usage and its relation to extreme product loads.Due to the high complexity of technical or service systems, it remains challenging to minimize the number of samples while sufficiently capturing the fringe customers.With the availability of data related to usage behavior, we consider a sampling method to address this problem by analyzing the customer usage space before sampling, then separately sampling fringe and core customers, and weighting the samples afterwards.Experimental results show that the method can identify fringe customers with significantly fewer, yet reproducible samples, while maintaining the distribution representativeness of customer population to a large extend.
Walk This Way: Online Content Platform Migration Experiences and Collaboration

Online content hosted on web-based platforms has many benefits for libraries and their patrons. Vendors will often migrate to newer platforms as new developments and products emerge. Although migrations are meant to improve services, content platform migrations are complex, resulting in problems regardless of careful preparation. In this presentation, a publisher and an academic librarian offer their experiences and challenges with online content platform migrations. A co-chair of the National Information Standards Organization’s Content Platform Migration Working Group shares the group’s work to establish content migration best practices.
Advanced Security Using Blockchain and Distributed Ledger Technology

Blockchain technology was started to launch a new technological revolution to store digital transactions through the internet, verify authenticity and licensing, and provide the highest degree of security and encryption. This technology is built on top of a peer-to-peer fully distributed network, all maintained and verified by everyone (i.e., no existence of a single trusted authority). That is the essence of ingenuity in the invention. This technology is a radical solution to the problem of trust in the digital world. Starting with cryptocurrencies, blockchain implementation has been extended for possible use in many industries, such as voting, health records, digital copyright, real estate, the Internet of Things, and so on. Blockchain has the potential to change our lives for the better, just as the internet has for the past 20 years. Blockchain offers improved resilience against hacking, as well as encryption, scalability, auditing, and most important, transparency, which satisfies the CIA triad (confidentiality, integrity, and availability). It will serve as the pathway for innovations and inventions in the world of the internet. In this chapter, we review what the blockchain is, its popular types, how it might contribute to the cybersecurity world, and its likely future trends.
How To Keep Your Identity Safe On The Web

You have probably heard of horror stories of hackers stealing peoples identities online, especially with banking or personal information. These ...
Implementasi Fuzzy Tsukamoto Untuk Menentukan Kepala Sekolah Berprestasi Tingkat SMK

One of the factors that influence in improving the quality of education is the quality of school principals who have good achievements. An award for selecting outstanding principals at the SMK level is an important thing to do in an effort to support the progress of educational institutions because with the selection of outstanding principals, the quality of education and school management will be further improved. This study uses the Fuzzy Tsukamoto method to help determine the ranking of outstanding principals. The input variables used were performance, portfolio, written test, publication assessment, and interviews. The result of the calculation of the Spearman correlation coefficient is 0.92, so it is a very strong correlation category.
On the Existence of Algebraically Natural Proofs.

For every constant $c > 0$ , we show that there is a family $\{P_{N, c}\}$ of polynomials whose degree and algebraic circuit complexity are polynomially bounded in the number of variables, that satisfies the following properties: •For every family $\{f_{n}\}$ of polynomials in VP, where $f_{n}$ is an $n$ variate polynomial of degree at most $n^{c}$ with bounded integer coefficients and for $N=\begin{pmatrix}n^{c}+n n\end{pmatrix}, P_{N, c}$ vanishes on the coefficient vector of $f_{n}$ . •There exists a family $\{h_{n}\}$ of polynomials where $h_{n}$ is an $n$ variate polynomial of degree at most $n^{c}$ with bounded integer coefficients such that for $N=\begin{pmatrix}n^{c}+n n\end{pmatrix}, P_{N, c}$ does not vanish on the coefficient vector of $h_{n}$ . In other words, there are efficiently computable equations for polynomials in VP that have small integer coefficients. In fact, we also prove an analogous statement for the seemingly larger class VNP. Thus, in this setting of polynomials with small integer coefficients, this provides evidence against a natural proof like barrier for proving algebraic circuit lower bounds, a framework for which was proposed in the works of Forbes, Shpilka and Volk [1], and Grochow, Kumar, Saks and Saraf [2]. Our proofs are elementary and rely on the existence of (non-explicit) hitting sets for VP (and VNP) to show that there are efficiently constructible, low degree equations for these classes and also extend to finite fields of small size. Our proofs are elementary and rely on the existence of (non-explicit) hitting sets for VP (and VNP) to show that there are efficiently constructible, low degree equations for these classes and also extend to finite fields of small size.
Robust Loss Functions for Complementary Labels Learning

In ordinary-label learning, the correct label is given to each training sample. Similarly, a complementary label is also provided for each training sample in complementary-label learning. A complementary label indicates a class that the example does not belong to. Robust learning of classifiers has been investigated from many viewpoints under label noise, but little attention has been paid to complementary-label learning. In this paper, we present a new algorithm of complementary-label learning with the robustness of loss function. We also provide two sufficient conditions on a loss function so that the minimizer of the risk for complementary labels is theoretically guaranteed to be consistent with the minimizer of the risk for ordinary labels. Finally, the empirical results validate our method’s superiority to current state-of-the-art techniques. Especially in cifar10, our algorithm achieves a much higher test accuracy than the gradient ascent algorithm, and the parameters of our model are less than half of the ResNet-34 they used.