Reviewerly/exHarmony huggingface dataset:
VR för behandling av akrofobi

More than 10% of Sweden's population suffers from some kind of phobia and this project is studying ways to ease acrophobia (fear of heights) with virtual reality (VR). Therefore, the purpose of the work was to investigate how to best ease acrophobia with help of VR. The research questions to be answered were: Is it possible with just visual and auditory feedback to create a credible environment to cure acrophobia? and Does it make any difference if the person performs tasks in the virtual environment compared to not doing it during treatment?. Two versions of a VR prototype were evolved to investigate the best possible method. The prototypes were developed through an iterative design process. The difference between the versions was whether they interacted with different virtual objects or not during the treatment. The prototypes were compared to each other in usability testing with 22 persons, where four had a fear of heights. Based on the results from the comparison testing, it was found that it was entirely possible to create an environment that produces a sense of height, which is essential to ease acrophobia. It was also found that performing tasks during treatment added value. However, both prototypes had different strengths and a combination of the two prototypes would probably have been the best solution to cure acrophobia.
Evaluation of Learners' Online Learning Behaviour Based on Analytic Hierarchy Process (AHP)

The online learning behaviour has become an important factor in predicting the learning achievement. Evaluating online learning behaviour is one of the hot topics in the field of IT education, but does not carry out specific weights and score distribution. Therefore, the online learning behaviour data from the 'Moso Teach' cloud platform was analysed by correlation analysis, cluster analysis and analytic hierarchy process analysis. We found that problem-solving behaviour of learners is the least, which is not common in online learning behaviour, while social interaction behaviour is better than problem-solving behaviour, and resource learning behaviour is the most common in online learning. The score distribution diagram of resource learning behaviour shows an inverse s-shaped curve, while the curves of the score distribution diagram of social interaction behaviour and problem solving behaviour are close to a straight line. There are learning achievement differences in resource learning behaviour and problem-solving behaviour, and core-marginal differences in resource learning behaviour and social interaction behaviour.
Library Facilitation of eTextbooks in Engineering Classes: Student Adoption and Perception

As a means of aiding students who struggle with the high cost of textbooks, some libraries now leverage their ebook subscription packages to provide eTextbooks for courses.At the University of Michigan, the engineering librarians routinely offer ebook versions of engineering textbooks whenever possible.Although this institution has been following this principle for the past ten years, it has done so with little direct knowledge of students' preferences regarding their options for print versus ebook format for their textbooks.Some studies have shown that students expressed a preference for using their textbooks in print format.To assess the usefulness of the service of providing eTextbooks, in the Fall 2019 semester the engineering librarians at the University of Michigan developed and sent a survey to engineering graduate and undergraduate students whose textbooks were available as eTextbooks.The survey sought to learn about students' use of the ebooks and their opinions about eTextbooks.As a follow up to the survey, the librarians met with two focus groups who provided more qualitative information on student use of eTextbooks.Survey and focus group results may inform not only changes to the service of providing eTextbooks, but also can be shared with publishers to potentially inform improvements to ebook platforms.This paper reports on the results of the survey and focus group and implications for the future.
The Effect of 5-anonymity on a classifier based on neural network that is applied to the adult dataset

Privacy issues relating to having data made public is relevant with the introduction of the GDPR. To limit problems related to data becoming public, intentionally or via an event such as a security ...
LibGuides: Library / Open Access Database Tools and Tips: Get Help!

Most databases have common elements which help streamline your research and save time. This How-To guide shares tools and tips for using the library databases at ACC.
Neural Network Machine Learning Analysis for Noisy Data: R Programming

Neural community machine learning analytical assessment paper discusses the explanatory distinction of secondary data via making use of neural network computing for noisy records the utilization of R programming. Although there’s massive hole between the dedication of excellent equipment to analyze overfitting and multicollinearity archives devices for many researchers. Its most necessary aims are to analyzed secondary whose files have been tremendously validation of binary documents base devices of 4 hundred files four variables from internet. The neural community strategies of evaluation are used for prediction whether or not or no longer the university students had been admitted or no with referring their preceding documents the utilization of R software. The outputs with many graphical interoperations had been usually provide a clarification for to gain analytical conclusion. Initially community mannequin with single and more than one hidden layer for first-class admit prediction variable conversed at 11197 for single hidden layer and 5811 for multiple hidden layers. The output and confusion matrixes have been in addition analyzed with developing and reducing of hidden layer that minimized the blunders had been considerably decreased from 33.7 percentage to 23 percentage when the use of rprop+ algorithm and stepmax at one hundred thousand. Therefore, this paper offers best way of computing for inspecting noisy data evaluation when data devices with multicollinearity using r application
RANCANG BANGUN WEBSITE JURUSAN ILMU PEMERINTAHAN FAKULTAS ILMU SOSIAL DAN ILMU POLITIK UNIVERSITAS PALANGKA RAYA

The Government Science Department is under the auspices of the University of Palangka Raya Faculty of Social and Political Sciences (FISIP), requiring facilities / media to manage academic data and information in the form of websites.The methods used in making the website are: data collection, consultation and design design methods using UML-Based Web Engineering (UWE). The website was developed using PHP, Xampp, Adobe Dreamweaver CS3, Notepad ++, Adobe Photoshop, and MYSQL.Website testing uses blackbox testing to test system functionality and browser testing for testing web pages using internet explorer, mozilla firefox and google chrome. The more appropriate display result is to use Google Chrome. Users of this website are admin, course coordinator lecturers, editorial team of journals, students and visitors
PMA LibGuides: Home: Service Updates

Updates on Library and Archives' phased approach to gradually resuming services while maintaining our first priority of staff and patron safety.
LibGuides: Cataloging Legal Literature: Help Resources

Cataloging Legal Literature, 5th Edition, describes the authors' understanding of current descriptive subject cataloging and classification practices for legal materials.
THE IMPLEMENTATION VIDEO TO IMPROVE SPEAKING SKILL

The objectives of this study are to describe the teacher implementation of video as teaching media and to describe the improvement of students’ speaking skill of grade VIII F  of SMP Negeri 9 Purworejo after being taught in the academic year of 2018/2019. This research was classified as classroom observation research. It was conducted in four meetings from March until May 2019. The subjects of this research were 29 students of class VIII C of SMP Negeri 9  Purworejo.  The  research  was  classroom  observation  research  and  used  qualitative descriptive as the method of analyzing data. The qualitative data were obtained through observations and documentation. The researcher observed the teacher taught students with video as learning media in the class. The videos were given from the teacher helped the students to improve their speaking skills especially in pronunciation, grammar, expressions, vocabulary, fluency, body language, fluency,  and still many things. The students could learn English better in the real situation as they got appropriate models of speaking English through video. The students speaking skills were measured the mean score before being taught with video was 54.17 and the mean score after being taught with video was 70.24. So there was an improvement in speaking skill after using video. K e ywords: Im plementation, Video, Speaking Skill
Research Guides: Summer Tales 2020: Reading #3

Summer Tales was launched to create virtual communities for students taking classes remotely promising short mental breaks from coursework through a fool-proof method of distraction.
DO PEOPLE THINK ABOUT ACCURACY, FLUENCY, AND COMPLEXITY IN DAILY ROUTINES

The significant care and the globalization of English have been caused broad demand for good English-speaking skills in various realms. The aim of this research is getting to know what people think accuracy, fluency and complexity when they are speaking or writing in English. Many students think too much of grammatical-error and they need to remember all tenses so they can practice English. Students need motivation from their-selves before they learn English; moreover, English as foreign language, students will study English as they must pass their subject in school. In addition, the present paper aimed to know the people perception of accuracy, fluency and complexity in written and spoken English. The researchers use qualitative research method and open questions for questionnaire.  The study  data  is  collected  from 10  students  in TEFL  class. Therefore, 50% students chose fluency, 30% students chose accuracy, and 20% chose complexity. The result of this research, students chose fluency because by mastering  fluency  in  speaking,  students  can  correct  them  in  grammatical structure by the time. As one respondent said that fluent in English is basic and it is better if we fluent then accurate by correcting their grammatical structure. In the end, the researchers knew that students prefer fluent then accurate so they can complex in English. K e ywords : L e arning English, accuracy, fluency, complexity
English Item Quality Analysis of Second Semester Exams Grade XII at MAN 3 Banjarmasin in Academic Year 2017/2018

Keywords: English Second Semester Exams, Item Analysis, Quantitative Analysis.The purpose of this study was to determine the English item quality of the second semester exams grade XII at MAN 3 Banjarmasin in academic year 2017/2018 in terms of validity, reliability, level of difficulty, item discrimination, and distractor efficiency. The problem statements of this research is how the item test quality analysis of second semester exams grade XII at MAN 3 Banjarmasin in academic year 2017/2018.This research is descriptive quantitative research. The subject of the research was the students’ answer sheet of English item test of second semester exams grade XII at MAN 3 Banjarmasin in Academic Year 2017/2018. The subject of this research was the English items quality analysis of second semester exams grade XII at MAN 3 Banjarmasin. Data collecting was done by documentation method. Data is analyzed by manual with Microsoft Excel.The result of this research showed that:(1) Items in the form is said as valid totaled 31 items or 77% and items which declared invalid amounted to 9 items or 22%; (2) items in the form is said has high reliable because r_11 ≥ 0,70 or equal 2; (3) items that categorized to difficult item category to 6 items or 15%, , medium category 21 items or 52,5%, and easy category 13 or 32,5% items; (4) English item which have excellent categories are 3 items or 7,5%; good categories are 15 items 37,5%; satisfactory categories are 13 items or 32,5%; poor categories are 7 items or 17,5%; and worst categories are 2 items or 5%; (5) 11 items or 27,5% had distractors that works excellent, 15 items or 37,5% had good function distractors, 9 items or 22,5% had distractors that works not bad, 4 items or 10% had less good distractors, and 1 item or 2,5% had bad distractor; (6) based on test item analysis according those aspects contained 15 items or 37,5% in the good category, 16 items or 40% in the less good category, and 9 items or 22,5% in the not good category.
Measurement error estimation and calibration for on-line detection phase variations in the laser-induced damage growth features of optical components

The amplitude and phase distributions of reflection or transmission light are locally disturbed by damage regions. The damage state of optical components under successive laser irradiation can be evaluated according to the phase variation of a transmitted beam. The measurement accuracy of phase information related to the phase-unwrapping method is a critical factor for evaluating the damage state. This study analyzes and compares the performance of two important phase-unwrapping methods for detecting on-line large damage sites based on optimal modified lateral shearing interferometry. Meanwhile, the system stability and the measurement repeatability are also validated according to the retrieved phase pattern, which is beneficial to estimating the measurement accuracy. Experimental results of optical films are also presented and discussed to verify the feasibility of the estimation method utilized and the recommended phase-unwrapping method for on-line detection of the laser-induced damage growth features.
Pengaruh Model Discovery Learning Berbantuan Media Pop-Up Book terhadap Hasil Belajar Tematik Siswa Kelas IV SD Gugus X Kota Bengkulu

This research aim to study the influence of the Discovery Learning model aided by Pop-Up Book media on student learning outcomes in Thematic learning. This research is quantitative research. The research method used a Quasi Experimental method with the design type Matching Only Pretest-Posttest Control Group Design. The population of this study is the IV grade Elementary school students of cluster X  Bengkulu City. The samples were class IVB SDN 58 Bengkulu City and class IVB SDN 38 Bengkulu City. The sampling technique used the purposive sampling. The total sample are 42 students consisting of class IV B SDN 58 Bengkulu City with 21 students as the experimental class and class IV B SDN 38 Bengkulu City with 21 students as the control class. The research instrument used the knowledge learning test in the form of multiple choice questions given through Pretest and Posttest, for the results of learning attitude and skill aspects were used the observation sheets as the instrument. Data analysis technique in this research is quantitative analysis using descriptive statistics and inferential statistics. Based on the results of data processing, that estimated the results of the t-test show the value of t-count in Indonesian subjects are 2.96 and IPA are 5.03 greater than the value of t-table at a significant level of 5% are 2.02. Thus the  hypothesis are proven and accepted. This shows that there is an influence of Discovery Learning Model aided by Pop-up book media on student learning outcomes in Thematic learning
RETRACTED CHAPTER: Recognition of Handwritten Digits by Image Processing Methods and Classification Models

OCR (Optical Character Recognition) is a line of research within image processing for which many techniques and methodologies have been developed. Set of pixels recognized based on the digitalized image and this study presents an iterative process that consists of five phases of the OCR. For this purpose, several image processing methods are applied, as well as two variable selection methods, and several supervised automated learning methods are explored. Among the classification models, those of deep learning stand out for their novelty and enormous potential.
THE INFLUENCE OF THE INTENSITY OF UPLOADING INSTAGRAM STATUS ON READING COMPREHENSION

This research is conducted to know whether there is a positive and significant influence of the intensity of uploading instagram status on reading comprehension at the eleventh grade students of SMA Negeri 2 Purworejo in the academic year of 2018/2019. The sample of this research is 35 students of the class IPS 3 at the eleventh grade students of SMA Negeri 2 Purworejo in the academic year of 2018/2019 by using purposive sampling technique. From the computation, it indicates that the mean score of students’ reading  comprehension  is  higher  than  the  mean  score  of  students’  intensity  of uploading instagram status (69.26 > 58.29). Then, the result of this research showed that students intensity of uploading instagram status gave positive and significance influence  toward  their  reading  comprehension.  It  is  proven  from  the  result  of correlation of coefficient product moment, showed that observed r (0.633) it included to the table interpretation between (0.60 - 0.799) in the level of strong interpretation. And based on the regression line between X and Y gave evidence that the correlation is positive, and also the significance value is more than (0.05) and the equation of the regression is  69.39, so it is significant. Then, the alternative hypothesis (Ha) was accepted.  Thus,  this  research  it  can  be  concluded  that  there  is  a  positive  and significance influence of the students’ intensity of  uploading instagram status and students’ reading comprehension at the eleventh grade students of SMA Negeri 2 Purworejo is accepted in the level of strong interpretation. Keywords : I ntensity, Uuploading Instagram Status, Reading Comprehension
LibGuides: Resources for Online Teaching and Learning: Agricultural & Food Sciences: Online Educational Tools

This guide contains online teaching and learning materials for Agricultural and Food Sciences majors.
동기식 온라인창업교육의 학습자만족 모델 개발

Owing to pandemic (COVID-19), the traditional face-to-face education method has been changed to the non-face-to-face real-time online education methods. Using a real time-based video conference system, synchronous education can be adopted by face-to-face class easily. Specially, it is very important to minimize the difference in learning effects between face-to-face and non-face-to-face in Entrepreneurship education. In this study, in order to derive the factors that affect the satisfaction of learners in synchronous online education, authors collected data from learners taking a synchronous entrepreneurship course. Through previous research, learned the reality of education and the composition of lessons. Spatiotemporal effectiveness, mentor ability, and educational environment influence learning satisfaction. PLS-SEM results revealed that it was confirmed that only spatiotemporal effects affect learner satisfaction. However, the education environment (f luent operation and convenience of function use of real-time based online conference system) effect teaching presence, class structure, and spatiotemporal effects. Through this research, we hope to provide theoretical and practical support for developing effective teacher activities, proper lesson structure, convenient function of the conference system, and learner-centered online learning environment when developing synchronous online classes.
UMC Library: Online Learning: Journals/Articles

A research guide aimed at supporting online learning at the University of Minnesota, Crookston.
Latest information on UIC HQ and the situation related to Covid-19 – UIC Communications

The preparation for the General Assembly as well as the Europe assistants meeting took place last week, for the first time via web-conference. This remote organisation went very well. Everyone…
LibGuides: Things To Do While You're Stuck At Home: Exercise

Different things to keep yourself (and everyone else in your house) occupied and entertained during this difficult time. Exercises you can do at home with little to no equipment.
Gaze-based JPEG compression with varying quality factors

Background: With the rise of streaming services such as cloud gaming, a fast internet speed is required for the overall experience. The average internet connection is not suited for the requirement ...
Dynamic Binary Lifting and Recompilation

Author(s): Altinay, Anil | Advisor(s): Franz, Michael | Abstract: Legacy binaries that do not have source code remain a vital part of our software ecosystem. Lifting and recompilation of legacy binaries allows for a wide range of late program transformations such as security hardening, deobfuscation, and reoptimization even when the source code is unavailable. Existing binary lifting approaches are based on static binary disassembly which has several limitations. Distinguishing code from data statically, for example, is undecidable in the general case. Static disassembly must rely on heuristics and assumptions to disassemble binaries in the absence of dynamic information and high-level language semantics. Consequently, static disassembly cannot reliably handle indirect jumps, inline assembly, and obfuscated code. Lifting approaches that rely on static disassembly, therefore, often produce unsound binaries.Dynamic disassembly of binaries can circumvent the limitations of static disassembly including the ability to handle obfuscated and encrypted binary code. In this dissertation, we present BinRec, a new approach to heuristic-free binary recompilation which lifts dynamic traces of binaries to a compiler-level intermediate representation (IR); the lifted IR is lowered to a recovered'' binary by taking advantage of the existing compiler toolchain. Our approach allows applying rich program transformations, such as compiler-based hardening and optimization passes, on top of the recovered representation. We identify and address a number of challenges in binary lifting, including unique challenges posed by our dynamic approach.In contrast to existing frameworks, our dynamic front end can accurately disassemble and lift binaries without heuristics, and we can successfully recover all SPEC INT 2006 benchmarks including C++ applications. We evaluate our approach in four application domains: I) binary reoptimization, ii) deobfuscation (by recovering partial program semantics from virtualization-obfuscated code), iii) binary hardening (by applying existing compiler-level passes such as AddressSanitizer and SafeStack on binary code), and iv) attack surface reduction in the recovered binary (by removing unused program paths).
LibGuides: Copyright for Libraries: Home

This LibGuide is to assit anyone seeking information pretianing to copyright issues librarians might face on a daily bases while preforming their duties.