Reviewerly/exHarmony huggingface dataset:
Enhancing CNN Based Knowledge Graph Embedding Algorithms Using Auxiliary Vectors: A Case Study of Wordnet Knowledge Graph

Knowledge graphs (KGs) have been utilized by various business fields. One example is Google that stores data in knowledge graphs for searching and retrieval tasks. Even though these graphs have reached an impressive size, they are far from completeness. Missing relations in knowledge graphs is a severe problem for algorithms that operate over knowledge graphs. There are many researchers trying to develop knowledge graph embedding methods so that they can handle different types of relations. ConvKB is one of the knowledge graph embedding methods that utilize convolution neural networks (CNN). However, this method lacks the ability to handle symmetric relations. Being inspired by this limitation, we would like to enhance this method by proposing ConvKB+, which is obtained by modifying ConvKB's CNN structure and introducing an additional relation vector. Our experiment results show that our method outperforms ConvKB by achieving higher MRR on some symmetric relations of the WN18RR dataset.
GENIUSUP! CHEMISTRY (SPECIAL EDITION)! AN EDUCATIONAL EXPERIENCE THROUGH SERIOUS GAMES FOR CHEMISTRY LEARNING IN A LUDIC WAY

GENIUSUP! CHEMISTRY (SPECIAL EDITION)! AN EDUCATIONAL EXPERIENCE THROUGH SERIOUS GAMES FOR CHEMISTRY LEARNING IN A LUDIC WAY
TEACHER’S BELIEFS ON INTEGRATING MOBILE APPLICATION IN EFL CLASSROOM

21 st century skills necessitate the abilities that students’ need for their career development in the current era. The utilization of Mobile Application in teaching and learning process as the integration of Information and Communication Technology in 21 st century learning demands the teacher to get used of it. Hence, this study aims to investigate teacher’s belief on integrating Mobile Application in EFL classroom. To reach the objective, a case study on an individual teacher used in this research. The participant was purposively selected because she was considered as the informant who could give sufficient information to answer the research questions. The finding of this study was teacher believes that utilizing Mobile Application is very important as Mobile Application has ability to make transformation of educational aspects by making use of it to reach instructional objectives then the quality of teaching and learning will improve.
LibGuides: Website Research: CRAAP Test

Content adapted from the guide Website Research by Rebecca Hill Renirie, Central Michigan University Libraries, retrieved from https://libguides.cmich.edu/web_research
EVALUATING FACULTY’ SATISFACTION IN CONTINUANCE USAGE OF DISRUPTIVE TECHNOLOGY BY INTEGRATING KANO MODEL WITH EXTENDED UTAUT AND ECT MODEL

Purpose – This study aims to examine the different characteristics of faculty satisfaction in the area of higher education, their perceived satisfaction and continuance usage of technology for better teaching and learning by integrating the theory of expectation and confirmation and kano two-dimensional model.Design/methodology/approach– In this paper, by integrating Expectation Confirmation Model (ECM) and Unified theory of acceptance and use of technology (UTAUT) are applied to the Kano model to sort the Faculty Satisfaction attributes into different quality categories and to calculate the Faculty Satisfaction Index including Better / Worse values, and also to consider the importance of weighting each quality element in identifying key elements for maximizing teaching. Data from 328 faculty members are collected and analysed in light of Kano's method.Findings – A total of 16 innovative service requirements is identified. Among them, seven requirements are attractive, and eight are one-dimensional attributes according to Kano's method of categorization.Practical implications – The paper describes how the technology in teaching plays an important role in higher education. In addition, it also shows how continuance intention to use technology by faculty can give a competitive edge to Colleges and Universities.Originality/Value – The empiric findings of this study show that faculty satisfaction attributes are a basic requirement for the adoption of teaching with technology and can motivate faculty after post-COVID pandemic to use technology in classrooms. In addition, different faculties have different characteristics for the adoption of technology with teaching. These findings help to improve the understanding of faculty satisfaction in technology-based teaching, help colleges and universities to better understand faculty requirements, and provide effective guidance on how to improve teaching.
BikeVT - VTTI Cross-Platform Mobile Application

BikeVTreport (PDF and .docx): technical document describing the development process of the application for VTTI, as well how to continue development of the application.BikeVTpresentation (PDF and .pdf): presentation giving a high-level overview of the project, the app, and the development process.
[At the heart of the Dutch COVID-19 epidemic: experiences of a municipal health service and a look at the future]

COVID-19 first appeared in the Netherlands at the end of February 2020. North Brabant province was the epicentre, which led the municipal health service (GGD) 'Hart voor Brabant' to register 1495 cases in a single month in its area. As the GGD spearheaded the fight, it was faced with a rapid increase to a major epidemic. We describe the experiences of the GGD 'Hart voor Brabant' on the basis of a GGD's responsibilities. An epidemic consists of several stages, each with its own focus with respect to source and contact tracing and diagnostic testing. An epidemic of this magnitude is usually associated with common healthcare challenges, for example limited availability of diagnostic resources and personal protective equipment. Now that the government is easing the measures, early source identification and rapid start-up of contact tracing are particularly important. The big challenge now is to convince COVID-19 patients' contacts to stick to all control measures.
Future of currency: a comparison between traditional, digital fiat and cryptocurrency exchange mediums

The ever-increasing computing power backed by Moore's law and the rapid breakthroughs in encryption has transformed the way currency is transferred and used. While the traditional government-controlled currency maintains its dominant position, a new virtual currency known as cryptocurrency has sprung up. It competes head-on by decentralizing the system, facilitating peer-to-peer transactions, and offering a universal exchange medium. However, the phase shift process is in its early stage, hindered by doubts in the mind of the public. In this paper, a comparison has been made between traditional, digital fiat and cryptocurrency, using the technique for order of preference by similarity to ideal solution (TOPSIS). It helped to ascertain the current level of awareness amongst the people of Pakistan and their likelihood of adopting the virtual currency. A forecasting approach along with a case study is also employed to see the future trends and security concerns revolving around the new medium.
Modelling Multi-Agent Epistemic Planning in ASP. Theory and Practice of Logic Programming

Designing agents that reason and act upon the world has always been one of the main objectives of the Artificial Intelligence community. While for planning in simple domains the agents can solely rely on facts about the world, in several contexts, e.g., economy, security, justice and politics, the mere knowledge of the world could be insufficient to reach a desired goal. In these scenarios, epistemic reasoning, i.e., reasoning about agents' beliefs about themselves and about other agents' beliefs, is essential to design winning strategies. This paper addresses the problem of reasoning in multi-agent epistemic settings exploiting declarative programming techniques. In particular, the paper presents an actual implementation of a multi-shot Answer Set Programming-based planner that can reason in multi-agent epistemic settings, called PLATO (ePistemic muLti-agent Answer seT programming sOlver). The ASP paradigm enables a concise and elegant design of the planner, w.r.t. other imperative implementations, facilitating the development of formal verification of correctness. The paper shows how the planner, exploiting an ad-hoc epistemic state representation and the efficiency of ASP solvers, has competitive performance results on benchmarks collected from the literature. It is under consideration for acceptance in TPLP.
Pemetaan Saluran Irigasi sebagai Upaya Penyediaan Air bagi Kebutuhan Pertanian (Studi Kasus: Desa Sindangsari, Kecamatan Ciranjang, Kabupaten Cianjur)

Irrigation Network Rehabilitation activities are the main supporting activities in the agricultural business by providing irrigation water for the realization of food sovereignty, particularly rice. Lowland rice is the principal agricultural commodity in Sindangsari village, Cianjur. More than 50 per cent of this village's rice fields are irrigated. Unfortunately the current irrigation conditions are classified as dry due to drought, thus inhibiting rice production. In addition to being dry, there are also many points of garbage accumulation that pollute the water flow and even obstruct the water flow. This activity aims at mapping the condition of irrigation canals in Sindangsari village. The irrigation channel map has been successfully prepared and approved by the Cianjur Regency Regional Planning Agency and the Ciranjang District Water Resources Management Office, so that more policies on irrigation issues in the area can be taken into consideration. Key words: irrigation, network rehabilitation, rice, rice field
A selective introduction to Python and key concepts

Python has become the predominant programming language for general data science and analytics. In this chapter, we will discuss the core concepts and design goals of the Python programming language. We will also cover the core functionality of the language, key data structures, and important packages. Rather than serve as an exhaustive review of the Python syntax, this chapter pairs language elements with important concepts and focuses exclusively on those components of Python that are in common use among data scientists. After reading this chapter, you should know how to interact with the Python interpreter and you will also be familiar with the core data structures, operators, and types used in Python. With this knowledge, you should be ready to begin working on your own small projects and scripts.
중국어 평생교육 학습자를 고려한 수업설계 전략 ― 중장년 학습자 특성과 학습동기를 바탕으로

In this article, we proposed the class design model based on motivation for learning to improve the learning efficiency of lifelong education Chinese language learners with current phenomenon which is rapidly entering an aging society. First, surveys and interviews were conducted to find out the learning type of life long education learners. The study found that the integrated directivity factor and the intrinsic factor were the highest among the types of learning motivation and it became a foundation for the class model of learning motivation. As for the way to proceed with class, teachers classify learning contents by the type of motivation and offers classes for all learners about contents that learners absolutely need to learn.The part that can apply learner’s learning motivation was divided into ‘Task selection type’ and ‘Activity selection type’. This article presented the way to proceed with class flexibly according to the type of class. In addition, the purpose of this study is to improve learning interests and learning efficiency for lifelong education Chinese language learners by applying learning motivation model in class and by presenting various evaluation tools to check specific learning examples and learners’ learning situations
Diagnosing Incompleteness in Wikidata with The Missing Path

To make their data usable, Linked Data producers need to providea minimum level of completeness. But the task of finding the miss-ing attributes for a specific list of entities is notoriously difficult.We make the hypothesis that identifying subsets of entities witha similar structure can help finding the cause of incompletenessand decide if and how it could to be solved. We contribute with our visualisation tool: “The Missing Path”, relying on dimensional re-duction techniques to create a map of the entities based on missingproperties, revealing clusters. Users can alternate their focus withthe second coordinated visualisation that shows the distributionof properties, and of their values, datatypes and languages. We de-scribe the evaluation and iterative design process we have plannedwith Wikidata contributors.
Research Guides: Research Data: FAIR Data Principles

A guide for locating, managing, and sharing research data. Best practices for assuring your data are findable and reuseable.
Bilinear Pairings Signcryption Scheme For User Authentication Keys In Heterogeneous Networks

Heterogeneous network user authentication keys are vulnerable to plain text attacks, resulting in poor encryption performance. Therefore, a heterogeneous bilinear pairing signcryption scheme is proposed. The symbol frequency detection method is used to detect symbols of user authentication data, establish an ORK user protocol in a heterogeneous network, and perform a pairwise signcryption scheme to linearly encode user cognitive information in a heterogeneous network. Use Ryption technology to authenticate and re-sign users in heterogeneous networks, and use a bilinear pairing signature encryption scheme to control cipher text in user processes to encrypt identity authentication information in heterogeneous networks. Establish a statistical analysis model to encrypt user authentication information in a heterogeneous network to achieve intelligence. Simulation results show that the method has good scrambling ability and strong anti-attack ability. It is used for bilinear pairing signature encryption of user authentication keys in heterogeneous networks.
LibGuides: English Composition and First Year Writing (for students): Specific Course Pages

A research guide for students in first year writing or composition classes (1005A/B, 1010, 1050, 2030, 3010, etc)
HATE SPEECH ANALYSIS AND REPORT GENERATION ON TWITTER

As social media has become one of the most used media among youngsters and people, social media analytics has become a very crucial and important factor these days. Our project aims at analyzing the social media i.e. Twitter. As many people are spreading hate speech on social media, it has become necessity to analyze and keep track of these hate speeches and the users who are frequently performing hate speech This paper will give you a real-time approach to analyze the tweets on twitter based on hate speech detection and an analysis report will be generated of the users which are categorized as hateful users. In this paper we are using CNN LSTM hybrid architecture [1,2]. Also some generalized analysis of Twitter such as trending hashtags, peoples perspective about any trending topics, wordClouds on any topic and much such type of pictorial reports will be generated. This paper will provide you a systematic approach for user specific real-time hate speech report generation and analysis
INCREASING STUDENT VOCABULARY BY USING CROSSWORD PUZZLE EIGHT GRADE STUDENTS OF SMP NEGERI 1 GALANG

The objective of the research is to prove whether the use of crossword puzzle is effective to increase students’ vocabulary. This pre-experimental study uses 23 students as a sample. They are grade VIII c of SMP Negeri 1 Galang. The procedure of this research consists of pretest, treatment, and posttest. The result of the analysis shows that crossword puzzle contributes greatly to increse 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 is 67.30 while in the post-test increase up to 90.87. 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 8.502 is high than T-table value 2.074. It can be inferred that crossword puzzle is very effective to increase students’ vocabulary. Keywords: Increasing, Crossword Puzzle, Vocabulary.
LibGuides: English Composition and First Year Writing (for students): Evaluating Sources

A research guide for students in first year writing or composition classes (1005A/B, 1010, 1050, 2030, 3010, etc)
Short Paper: An Update on Marked Mix-Nets: An Attack, a Fix and PQ Possibilities

Marked mix-nets were introduced by Pereira and Rivest as a mechanism to allow very efficient mixing that ensures privacy but at the cost of not guaranteeing integrity. This is useful in a number of e-voting schemes such as STAR-Vote and Selene. However, the proposed marked mix-net construction comes with no proof of security and, as we show in this paper, does not provide privacy even in the presence of a single corrupt authority. Fortunately, the attack that we present is easy to prevent and we show several possible ways to address it. Finally while the original marked mix-net paper worked with ElGamal, we identify conditions that the adopted encryption scheme should satisfy in order to be appropriate for a marked mix-net. This opens the possibility of building marked mix-nets based on intractability assumptions which are believed to hold in the presence of a quantum computer.
LibGuides: Jazz Resources in the Music & Recorded Sound Division...and Beyond: Digital collections with remote access

Circulating, non-circulating, and online resources related to jazz. Created by Jessica Wood, Assistant Curator of Music & Recorded Sound
Improvement of Attribute-Based Encryption Using Blakley Secret Sharing

Attribute-based encryption (ABE) enables fine-grained access control of encrypted data. This technique has been carefully scrutinised by the research community for over a decade, and it has wide theoretical interests as well as practical potentials. Thus, any efficiency improvement of it is highly desirable but non-trivial. In this paper, we demonstrate that the computational costs in ABE can be slightly reduced using Blakley secret sharing. The main reason that contributes to this improvement is a unique feature enjoyed by Blakley secret sharing, i.e. it is more efficient to handle (n, n)-threshold secret sharing compared with Shamir secret sharing. Due to the space limitation, we only describe how to improve key-policy attribute-based encryption (KP-ABE), but our method is very general and it can be used to improve some of its variants similarly, e.g. cipher-policy attribute-based encryption (CP-ABE). This work may also inspire further investigations on Blakley secret sharing, both applying this unique feature to other cryptographic primitives and exploring more undiscovered features.
THE ANALYSIS OF STUDENT’S MISBEHAVIOR IN LEARNING ENGLISH LESSON

Student’s misbehavior, sometimes, can interrupt the process of teaching and learning. Moreover, one of students didn’t realize that his/her misbehavior can hinder their achievement on English lesson. The purposes of this research are: (1) to find out the characteristics of student’s misbehavior, and (2) to find out the factor of student’s misbehavior in learning English lesson. The research used qualitative approach. The participants of this research were 20 students at SDN Cadaskertajaya 1 Karawang. The results of this research showed that: (1) there are three kinds of student’s misbehavior to English lesson, There are: (a) in-attention, for examples daydreaming, doodling and looking at the window; (b) disruption, for examples talking with friends, laughing in-appropriately and shouting out during instruction; (c) annoying others, for examples provoking, teasing, and calling names. (2) The factor of student’s misbehavior is affected by internal and external. The internal factor is students itself, for instances: attention seeking and learning difficulties. In other hand, the external factor is from the teacher and society.
Some Methods for Constructing Solution Generators of a Search Method in the State Space for Declaring Logical Tasks

Design and analysis of predicate decision models for a certain class of logical tasks using the state space search technique is the result of the present study. The technique itself is not new, but it needs spreading-out practical base with software-based pattern when representation and storage of the complete search graph of all states are not possible. The study proposes a classification of approaches towards developing elements of the state space and methods of declaring generators proper. The practical part of the study is made in the Prolog language. The formal models of the following solutions are described: The Generalized Crossing Task, The Transfusion Task and The Code Word Construction Task. To describe objects and their states, it was proposed to use Bit Chains, and to generate the next state – Bitwise Operations. The described approaches for constructing the desired variants make it possible to find all possible solutions of a given dimension. The prospects for generating knowledge base rules are indicated. #CSOC1120.
Home: Shark Week: LIBRARY TOOLS AND RESOURCES

It's time for some sharks! Provides consistent links to major options across all subject pages.
STUDENTS’ NEEDS ANALYSIS ON LEARNING OF THE ENGLISH LISTENING SKILLS IN VOCATIONAL HIGH SCHOOL

Learning English in Vocational High School has certain characteristics related to the learners' major. English as a foreign language has an important role to be mastered by the students. The orientation of the students after graduating from school mostly gets a job related to their competency. It is in line with the objective of the 2013 curriculum that learners of vocational high school are demanded to have a good character, an adequate competency, and be creative and innovative. As the mean of communication, English needs to be learned both in written and orally so that they can apply the English language in any situations after their graduation. This study aims at analyzing materials need in learning the English listening skills. The subjects of this study are twenty-three students from the eleventh grade of a vocational high school in Yogyakarta. The result of this research may help teachers and institutions preparing materials appropriately.
Multi-Rate Unscented Kalman Filtering for Pose Estimation: Using a car-like vehicle-platform

Pose estimation through fusion of GNSS with secondary sensors has long been an established field. With the developments surrounding autonomous navigation over the past decade this topic has gained extra importance. In the current literature GNSS based pose and localisation is often improved through fusion with either a IMU}or VS with the goal of improving on stand-alone GNSS localisation results as well as dealing with GNSS outages. In this thesis however, all three of these sensors will be fused together using a cascade of a IMU orientation filter and a Multi-Rate UKF. This filter structure is evaluated using simulations and real-world data obtained using a created vehicle-platform. The simulated results indicate that using a Multi-Rate Unscented Kalman Filter for pose estimation is promising as the filter, when configured properly, outperforms stand-alone GNSS receivers for pose estimation. However, the real-world experiments show that the used sensors lack accuracy and precision to obtain satisfactory results.