Reviewerly/exHarmony huggingface dataset:
Central Louisiana Technical Community College Library: Use the Library from Home: COVID-19 (Coronavirus): Important CLTCC Links

This guide provides information for how to access the library's resources off-campus. This page provides links to information for CLTCC students.
INNOVATIONS IN DEMENTIA CARE USING SENSORS AND ARTIFICIAL INTELLIGENCE

Digital phenotyping refers to the quantification of a symptom or behaviour using a variety of different sources of data collected moment-to-moment in daily life. In the context of dementia care, sensors can be wearable and used to measure movement, location, various physiological markers, and environmental exposures (light,sound, temperature). Sensors in beds can be used to assess physiological measures of sleep. Sensors are also often embedded in the environment to track movement and interactions within the milieu (ie opening of doors, turning on taps). Finally, computer vision-based sensors are able to “watch” for facial expressions and posture. Importantly, to transform sensor data into clinically useful information it is necessary to find important features and patterns in the data. This process is termed data mining, and often involves modeling using advanced machine learning. The aim is to develop a system capable of capturing clinically meaningful information, and capable of using this real-time data to provide warnings or make predictions that have a meaningful impact on clinical decision-making or patient care. In this session, we will be presenting research on the use of different kinds of sensor data for the assessment and monitoring of behavioural and psychological symptoms in dementia (BPSD). Dr. Vahia will be speaking about a passive motion sensing technology to map behavioural phenotypes. Dr. Seitz will present the use of actigraphy to track motor activity in people with dementia. Dr. Iaboni will present the results of a study using multimodel sensors including a wearable device to detect episodes of agitation in people with dementia. She will then present a study which makes use of pose-tracking in video images to monitor daily life gait and postural stability of people with dementia. In each talk we will consider some of the ethical dimensions of this work, including the fine line between real-time clinical measurement and surveillance.
: Scan and Deliver: FAQs

How to use the Library's Scan and Deliver service - get journal articles or 10% of a work sent straight to your email
Exploration Versus Data Refinement Via Multiple Mobile Sensors Based On Epistemic Utility Controller

The study of an unknown region using multiple mobile sensors is considered. The problem involves balancing between the exploration desire vs. data refinement desire with either limited or local measurements. The problem raised here may contain several constraints such as the affordable power of the sensors for changing the trajectories and the feasible trajectories, as well. For this purpose, we develop a new framework. Due to the constraints in these types of problems, the proposed framework makes value-laden decisions on selecting the trajectories using Gaussian process modeling and epistemic utility controller.
LibGuides: IUN Virtual Library for Faculty: Home

Accessing the John W. Anderson Library's resources and services for all online classes. A guide that provides a gateway to access library databases, e-books, interlibrary loan, virtual reference help, and video conferencing instruction.
Oxides and Hydroxides

This chapter provides the survey scans and high resolution scans of the minerals belonging to the chemical class of the oxides and hydroxides together with tables of the peak positions and atomic ratios. Minerals covered in this chapter are: cuprite, periclase, corundum, hematite, perovskite, ilmenite, rutile, pyrolusite, cassiterite, anatase, brookite, thorianite, gahnite, magnetite, franklinite, chromite, minium, chrysoberyl. tantalite/columbite-(Fe,Mg,Mn), goethite, böhmite, manganite, brucite, gibbsite, bayerite, and romanechite.
Evaluation of Strength characteristics of Borated Stainless Steel (B-SUS304P-1) for Basket of Metallic Cask

The basket of transport and storage metal cask must have neutron absorption ability, heat dissipation function and structural strength. Borated stainless steel (B-SUS304P-1) which have enough neutron absorption ability and structural strength are suitable for application to baskets in transport and storage metal cask. Strength characteristics of Borated Stainless Steel were evaluated under the conditions of design loads and assumed defects.
InfoGuides: COVID-19: Information for Oregon Libraries: Remote Library Services

Resources about the Coronavirus Disease 2019 (COVID-19) epidemic for those working in Oregon libraries A collection of resources for libraries providing remote online services
Library Guides: eBooks and audiobooks: Read a Classic Challenge

Stuck at home in lockdown? Here are Kerferd Library eBooks and audio books you can use from home
Multielement geochemical data missing value and below detection limit imputation

Introduction The precise measurement of small concentrations of elements from chemical analyses is limited due toinstrument sensitivity. Such concentrations are known as the detection limit (DL). Given the increasing popularityof multivariate data analysis tools to identify patterns within geochemical data, which often require all data to berepresented by real values, methods for imputing missing or below DL (BDL) values are required. BDL valuesare often either removed completely or replaced with a constant value such as half the BDL (Carranza, 2011;Hron and others, 2010). Where additional information is available, such as with multivariate data, BDL valuescan be imputed using methods that assess the conditional similarities between samples within data space.
A Systematic Literature Review on the Security and Privacy of the Blockchain and Cryptocurrency

A blockchain can be summarized as a decentralized ledger of all transactions across a peer-to-peer network. It is the main technology behind the large number of diverse cryptocurrencies that are currently available in circulation. Since its introduction, the blockchain technology has shown promising application prospects and attracted lot of attention from both academia and industry. It also has become an obvious target to adversaries. In this paper, we conduct a systematic literature review on the security vulnerabilities and cyber-attacks to blockchain and cryptocurrency by searching and analyzing previous research papers indexed in reputable journal databases. Based on our findings, we then summarize the most common and critical security threats and attacks and the current countermeasures.
Gender Difference in Teachers’ Perception of School Climate and Their Job Performance in Secondary Schools

The study investigated gender difference in teachers' perception of school climate and their job performance in secondary schools in Anambra State, Nigeria.Four research questions and four null hypotheses were used to guide the study.The sample size of 550 teachers representing 10% of the population and proportionate stratified sampling method was used to identify the sample size.The face validity was established and the reliability was determined through Crobach Alpha for Organizational Climate Index (OCI) and Teachers' Job Performance Questionnaire" (TJPQ) was 0.81 and 0.66 respectively.Pearson Product Moment was used to analyze the research questions and hypotheses.The findings revealed that the relationship between female teachers' perception of open and closed school climate with their job performance was not significant.Based on the findings, the researchers recommended that principals should encourage teachers to devotedly discharge their job performance by maintaining school climate that will enable them discharge their duties with enthusiasm.
Development of Basketball’s Display Device by Kosen Students

We reported the activity contents in graduate study that five students of Kobe city college of technology worked on as a practice example of the engineering education in 2018. The purpose of study is development of a display device using image recognition technology that is available in a basketball game. Table officials support the progress of a game as well as referees in an official game of basketball at high schools and universities. The display device which we suggest can communicate the information of match score and fouls by analyzing movements of a referee and a basketball using image processing technology. OpenPose and TensorFlow were used in image processing technology mainly.
IMPROVING STUDENTS’ MOTIVATION IN THE CONTEXT OF FINAL PROJECTS THROUGH TEAMWORK AND HIGH-TECH PROJECTS

With the introduction of the European Higher Education Space (EHES) all students in master and bachelor’s degrees must develop, before finishing the academic program, a Final Project. In engineering degrees this final project inherits from the traditional Engineering Final Projects; although considering the new context and the required academic effort they are totally different tasks (especially in terms of innovation and scope).As time goes, these new Final Projects have turned each time more academic and got further from real technologies, problems or projects. Thus, recent surveys show an incredible decreasing in the students’ motivation in relation to final projects, as well as some topics are totally over demanded (those that sounds more like currently required professional skills or modern technologies such as Big Data or Blockchain). Besides, the number of students developing Final Projects has gone up incredibly and tutorial time has now to be divided into a much greater group of people, so the tutorial quality also going down. To address these problems, in the past, experiences based on Design-Thinking methodology were carried out. Although results were satisfactory, some problems related to the number of students and the regulation for Final projects have pushed us to find new and more suitable approaches to manage Final projects and improve the students’ motivation and their academic results. In this case, we proposed a new methodology were students, instead of facing a common challenge, must develop a large high-tech project. They must collaborate in groups, but each student is in charge of one independent module, which will be presented as his Final Project. In particular, during the second term of the year 2018/19 in the Universidad Politécnica de Madrid, a pilot experience has been conducted, based on the introduction of this new methodology to develop Final Projects. The experience was developed in the context of Telecommunication engineering degree. Students from all specialties were considered, although software engineers were the most important group. Projects related to robotics, Blockchain and software engineering were developed.During this experience, students in the pilot experience (around 30% of the total students) should develop different prototypes, solutions, evaluation mechanisms and validation methodologies build a product fulfilling the requirements of the project and to ensure its correct behavior. Students will also employ professional tools for teamwork. A key element of this methodology is the teamwork. Although each student is in charge of one module, in order to get all the Final projects approved, the entire system must work correctly and meet the proposed requirements.Results showed students were motivated to increase the scope of their Final Projects according to the requirements of real high-tech projects. Besides, academic results of Final projects also went up in a significant manner (as well as the working time employed by students to build their project).
RANCANG BANGUN KECERDASAN BUATAN UNTUK NON PLAYER CHARACTER PADA GAME PLATFORM ANDROID

A maximum 200 word abstract in English in italics with Times New Roman 11 point.Abstract should be clear, descriptive, and should provide a brief overview of the problem studied.Abstract topics include reasons for the selection or the importance of research topics, researchmethods and a summary of the results. Abstract should end with a comment about the importanceof the results or conclusions brief. Game is one means of entertainment to fill the spare time. Oneof the most important elements in the game is artificial intelligence, where this element is used tohone the ability of the players. Artificial intelligence in games is generally applied to Non PlayerCharacter (NPC) in the game, because NPC is the most frequently developed by game developers.In this paper, the author tries to review a game on the market, both in terms of concept, graphics,and especially artificial intelligence on the NPC in the game, then the author will create a gamesimilar to the game being reviewed, but with artificial intelligence on an upgraded NPC. Fromthis research, produced a game called Pixel Adventure. This game has 4 enemy NPC predators,bees, frogs, and forest monsters. Each enemy NPC has different levels of artificial intelligenceand attacks against players.Keywords— Artificial Intelligence, Games, NPC
Design Options for Audio Frequency Shifting System for Unique and Interesting Sound Effects

A Frequency Shifter shifts the full spectrum of an audio input signal up and down the frequency axis. When shifted, the harmonic relationships of the input signal are not preserved and the resulting inharmonic signal has an interesting uncommon metallic sound. The frequency shifters, originally developed to supress audio feedback howling, were used in early music synthesizers to create unique special sound effects. Early frequency shifters were implemented with analogue diode ring modulators that suffered from annoying audio carrier tone bleed-through due to mixer imbalance. Implementing the frequency shifter in DSP holds the promise of reduced cost, improved dynamic range, and absence of undesired artifacts.
High-risk Consumer Credit Scoring using Machine Learning Classification

The use of statistical models in credit rating and application scorecard modelling is a thoroughly explored field within the financial sector and a central component in a credit institution’s underlying business model. The aim of this report was to apply and compare six different machine learning models in predicting credit defaults for high-risk consumer credits, using a data set provided by a Swedish consumer credit institute. The selected models include the ones most frequently used for scorecard modelling across the banking industry as well as some more rarely used that could potentially add valuable insights. The models are briefly introduced and the most important concepts for each model are explained, as well as how to deal with the lack of transparency in complex models by the use of white-boxing methods. Appropriate metrics for evaluating prediction performance on imbalanced and insufficient data sets are discussed, as well as how to increase model performance by using different oversampling techniques. All available information about the loan applicants was then exhaustively examined, and a carefully refined set of input features was constructed to ensure optimal predictive power and generalizability. After tuning and testing the models, the results showed that logistic regression, support vector machine, neural network and a soft voting ensemble showed similar performance results using the same input feature configurations. Attempts to create synthesized samples to handle the imbalance problem showed no effect and was therefore not used. The white-boxing model SHAP showed a promising ability to instructively explain the underlying decision basis for complex models such as neural networks. However, considering the limited data set at hand, the recommended model to use is the logistic regression model given its simplicity and on a par performance with the other models. Having larger amounts of data available on the other hand, the more complex models such as neural networks and support vector machines could have a potential advantage. (Less)
“ONE PEN, ONE TEST”. EXPERIENCES DEVELOPING INDIVIDUALISED TESTS AT UNIVERSITY

Performance evaluation at the university entails several challenges. Designing good tests to measure performance or knowledge requires time and effort. The development of exams is time consuming and professors usually do not have too much time to design parallel forms of the same test to avoid cheating. In this paper we present our experiences developing one test per person in the degree of Psychology and Criminology at our university. We have used R programming language to design short tests to assess the performance and knowledge in statistics and data analysis. The contents of tests were related with introductory and descriptive statistics and were printed in paper. We administered one of those tests per week and assessed competence achievement in a formative evaluation framework. Two functions per exam were generated: a) a function to create a set of personalised tests containing open questions, and b) a function to automatically correct individual exams. Our method to test knowledge and performance reduces cheating and allows quick correction and feedback to students.
LibGuides: Alternative Educational Resources During COVID-19: Streaming Offers

Many publishers are offering free access to their resources during the COVID-19 crisis. This is a compilation of known offers available to Johnson & Wales University.
FROM DIGITAL COMPETENT TEACHER TO TEACHER SPECIALIST IN PROFESSIONAL DIGITAL COMPETENCE – A MODEL FOR PROFESSIONAL DEVELOPMENT FOR IN-SERVICE TEACHERS

Information about the paper titled "FROM DIGITAL COMPETENT TEACHER TO TEACHER SPECIALIST IN PROFESSIONAL DIGITAL COMPETENCE – A MODEL FOR PROFESSIONAL DEVELOPMENT FOR IN-SERVICE TEACHERS" at IATED Digital Library
Word Sense Disambiguation in Tamil using Indo Wordnet and Cross-Language Semantic Similarity

Word sense disambiguation is the way to compute the correct sense of a word. It is considered as one of the important subtasks in natural language processing, machine translation and information retrieval. WSD found improving the overall performances of these systems. The job of WSD is to eliminate all senses of a word except the appropriate one as per the given context. The work in Tamil linguistics domain for information retrieval or natural language processing is very less. WSD can be performed in supervised and unsupervised manner. Here, we have proposed an unsupervised approach to disambiguate Tamil words in a given context using the context words and their dictionary gloss definitions. We have proposed two variants of our approach. The first approach uses the number of word overlapping between the glosses of context words whereas the second one uses the similarity between the glosses of context words with that of the ambiguous word. The second one found best among the two. For our approach, we have used Tamil Indo-WordNet, Oxford Tamil Dictionary and English WordNet dictionary glosses. Our method achieves better result in recognising correct senses in Tamil text.
Subject Guides: Presenting with Zoom: Technology for Personal Laptops/Desktops

Find tools to help you succeed in giving an A+ presentation! These items are available for checkout to equip your laptop with the tools necessary to video call or practice presenting.
CSI Library: Resources for Learning and Teaching Remotely: Welcome

This guide lists a few of the electronic resources that are now available to students and faculty to help with distance learning and teaching for the Spring semester
FCPL Curated Content: Curbside and Virtual Services: From Around the Web

Many around the world are opening their archives and other resources to the world at this time. We have pulled a few together for you.
Design and Implementation of Intelligent Tutor System for Training of Scalpel Operation

Abstract In order to improve the effect of knife-holding training and reduce the requirement of experimental environment, an intelligent tutor system for knife-holding training is designed and studied. The system can simulate the anatomy working scene, and has the function of intelligent recognition of scalpel holding technique and movement. It can also automatically complete the whole experiment teaching process, such as knife-holding training task layout, precise monitoring of training process, multimedia interactive training guidance, training result evaluation, educational administration management and so on. The experimental results show that the new design concept and practice method of the system are of great significance for reference and popularization.
LibGuides: New Technology on the Horizon: Summon

A look at the technology and electronic resource advances coming to the Xavier University of Louisiana Library.
A Security Monitoring and Alarm System for Nursing Homes Based on ZigBee Technology

This paper proposed a security monitoring and alarm system based on ZigBee technology, which was used to lessen the workloads in nursing homes. This system can monitor five physiological states of the elderly, including urine in bed, ambulation, falling, position and accidents in the washroom. This paper first introduced the whole structure of the monitoring system, then introduced each function module in detail. In order to measure the utility of the monitoring system, Sijiqing nursing home in Beijing tested the system and experiments proved that the system met its requirements.
LibGuides: Open Access to Resources during COVID-19: Academic E-Book Resources

Some publishers are lifting restrictions on e-resources during the COVID-19 pandemic. UWF Librarians will be adding to this list as they become available.
STEAM EDUCATION AT MASTER LEVEL

This work presents the Innovation and Improvement Learning Project "Applying STEAM strategies in the Social Sciences and Arts areas by means of a Service-learning methodology" that aims to facilitate the acquisition of the Science, Technology, Engineering, Arts and Maths competences of Master students in the Universitat Politécnica de València (UPV) by means of a service-learning focus.An interdisciplinary group of seven lecturers work in an own model that latter could be also applied to other Master and Bachelor Programs.By now, we have developed a competence sheet for each STEAM competence that could be applied in any subject that would like to work on it.To achieve these competences by a holistic approach, we also relate them to the UPV transversal competences and to the United Nations Sustainable Development Goals.The final objective is that any program could cover all the STEAM competences to add value to the students' learning.The first results show that, putting all these concepts together, we compel the students to propose creative solutions that could help organizations as well as individuals.
Research on the Application Strategy of Automation Technology in Electronic Information Engineering Design System

In order to improve the efficiency of office management and realize the level of automation in many fields, this paper puts forward a novel application method of automation technology and electronic information engineering design system. This method takes Internet technology as the basic platform, and then combines automation technology and electronic information engineering technology to construct a perfect automatic electronic information engineering design system. The research results show that this method can not only improve the efficiency of office management and the intelligence of people's living and working environment, but also promote the development of many science and technology. it is a very efficient and scientific application method, which is worth popularizing and learning.
SOCRATIVE AS A TOOL FOR SUPPORTING THE EXISTING CURRICULUM: A PRELIMINARY QUANTITATIVE EXAMINATION OF STUDENT PERSPECTIVES

M. France1, X. Guo2, P. Cowley1 1University of Bolton (UNITED KINGDOM) 2University of the West of Scotland (UNITED KINGDOM)