Reviewerly/exHarmony huggingface dataset:
LibGuides: Economics and Management: Development and Planning

A guide to assist library users to easily find library resources related to Economics and Business management
Safeguarding Location Privacy in the Internet of Things

The visualization of ubiquitous approach to intelligence, anyplace and anytime, is flattering into a truth, permitted by promptly evolving wireless broadcastings with an analysis that varies from a few inches to many miles. In near future, the world will be completely intertwined and the quantity of smart gadgets will explode to an extensive number; the estimate is 10 times the human populace. Internet of Things (IoT) shall bring plethora of advantages and ease in our habitual life. But what about all the data including personal information, location monitoring, daily routine, etc., be shared and stored over Internet. It is vital to maintain the accuracy and extensiveness of biometrics for the authorization of an individual. So, there is a need for highly reliable methodologies. Nevertheless, with the evolution of the IoT applications, the communication transfer will have tremendous growth, both in terms of ease and privacy issues. We have studied many privacy issues and have proposed a methodology keeping in mind location privacy. A secure system will build trust and, thus, will make the client more secure and private while moving from one place to another.
LibGuides: Audio Visual Support: Borrower Types

See what the Innovation Commons has available to borrow to support digital learning and teaching.
LibGuides: 53rd Annual CBHL 2021 Meeting: Committee Meetings, May 5, 2021

Program and schedule the 53rd meeting of the Council on Botanical and Horticultural Libraries in Washington D.C., May 5-7, 2021
Web-Based New Student Admissions Application at PAB 8 Saentis Private High School, North Sumatra Province

Admission of new students is one of the processes that is usually carried out every year in educational institutions such as schools. New student admission is useful for screening selected prospective students to become students. In this study, the admission process for new students at the PAB 8 Saentis Private High School was still carried out conventionally and had not been computerized, which allowed many errors from writing data, piling up files and losing data. Based on this, it is necessary to apply for new student admission applications at PAB 8 Saentis Private High School. The result of this research is an application that has the ability to provide accuracy and convenience of inputting data for parents and prospective new students to obtain information about schools using the waterfall model. With this new computerized admission application, it is hoped that it can help convey information and facilitate the implementation of the preparation and management of data on new student admissions at PAB 8 Saentis Private High School.
Interval-Valued Feature Selection for Classification of Text Documents

This paper presents the classification of text data using the symbolic data type of interval-valued feature selection method. Initially, the documents are represented in the form of interval-valued features. The proposed method uses a supervised environment in which every feature is represented using a single crisp value with the help of the proposed ranking method. Further, the features are ranked using scores associated with each of them. The top-ranked Q′ features are chosen from the Q set of evaluated features, and Q′ is decided through empirical evaluation. The feature selection criteria proposed is validated using symbolic classifier with the help of standard text datasets Reuters-21578 and TDT2 dataset. The experimental results obtained from this method show that the proposed method is more effective compare to other existing techniques.
LibGuides: Hair and Media Make-up: Home

A comprehensive guide to the Library's resources which are chosen to help you study effectively.
Approaches to the development of online learning In the digital environment of higher education in Yakutia

The authors justified the idea of developing online courses based on the use of Moodle tools, allowing the formation of knowledge in the field of technological and methodological skills and abilities to use educational applications, services, and their application in professional activities in the implementation of online learning in the digital environment of the university. Assessment of the effectiveness of the online course is confirmed by the solution of professional tasks from the knowledge of the digital educational environment with interdisciplinary content and tasks requiring the use of e-learning tools. Analysis of the results using two-way analysis of variance revealed a significant effect of factors on the effective feature using the F-test. The significance of the study lies in the development of online advanced training courses aimed at improving the technological level of teachers and educators of the Republic of Sakha (Yakutia) in the implementation of the remote format of training using online distance learning tools and technologies.
SOUND DIRECTING - AS A TYPE OF ACTIVITY IN THE COMBINATION OF TECHNIQUE AND ART

Sound directing is a field that consists of a mixture of knowledge and experience. Before creating a work, an artist working in this field must feel its whole appearance, and the state of every sound and every musical instrument in it.
LibGuides: Searching in Oxford Art Online: A Database LibGuide: Advanced Search

How to search Oxford Art Online effectively and efficiently Basic Google-style box at the top right of the database interface
텍스트 마이닝 기반 한국어 학습자 어휘 사용 양상 연구

The purpose of this study is to measure ‘vocabulary diversity’, ‘vocabulary relationship complexity’, and ‘text coherence’ that appear in the written corpus of Korean learners by using the text mining technique to examine learners’ vocabulary usage patterns by proficiency level. ‘Vocabulary Diversity’, ‘Vocabulary Relationship Complexity’, and ‘Text Coherence’ were measured by targeting the corpus of 3-6 level learners corresponding to the middle and high level of Korean language education institutions using text mining techniques. As a result of the measurement, the higher of the learner’s mastery, the higher the value was measured. The vocabulary diversity increased to 0.0026 for the 3rd level, 0.0932 for the 4th level, 0.2382 for the 5th level, and 0.3658 for the 6th level, and the vocabulary relationship complexity increased to 0.2381 for the 3rd level, 0.3085 for the 4th level, 0.4325 for the 5th level, and 0.4899 for the 6th level. Text coherence rose to level 3 0.1717, level 4 0.1910, level 5 0.3210, and level 6 0.3684. As a result of conducting an analysis of variance to confirm whether these quantitative values were significant, the differences in the averages for each level of proficiency measured by applying the text mining technique were all significant and were consistent with qualitative analysis.
VISUAL MODELS AS A MEANS OF TEACHING IN PRIMARY MATH’S EDUCATION: PROBLEMS OF TEACHER TRAINING

The modern teaching of mathematics relies heavily on the modeling method. At the same time, visual models are the most preferred means of teaching mathematics in primary school. Numerous scientific studies suggest methods for improving the practice of teaching mathematics using visual models. However, much less attention has been paid to the problem of preparing a primary school teacher for the use of visual models in mathematics lessons. The purpose of the study is to identify and describe the features of teachers' use of visual models in mathematics lessons, to identify the problems of preparing students for the use of visual teaching models and to propose one of the approaches to its improvement. To achieve the result, various methods were used: theoretical analysis of modern sources on the use of visual models in teaching mathematics; an observation method for identifying the features of the use of visual models by teachers in mathematics lessons, a case method for determining the attitude of future primary school teachers to the use of visual models. As a result of the research, the problems of preparing students for the use of visual models in primary teaching of mathematics are highlighted. One of the main problems of this training is the discrepancy between the verbal‐logical thinking of an adult and the visual‐ figurative thinking of a child. Therefore, when developing the ability to teach using visual models, it is important to start not with mastering the technical aspects of building models, but with understanding and accepting the value of educational modeling by students.
STUDI TENTANG MINAT BELAJAR PESERTA DIKLAT PADA MATA DIKLAT GOOGLE FORM DI BALAI DIKLAT KEAGAMAAN BANJARMASIN TAHUN 2019

The purpose of this study was to determine the learning interest of the training participants of the Google Form training course by Balai Diklat Keagamaan Banjarmasin. The subjects of this study were participants of Substantive Technical Training for Multimedia-Based Learning Media in 2019 with 30 respondents. Data collection is done through questionnaires and observations. The data collected is qualitative data with the processing carried out qualitatively which is to do a qualitative descriptive analysis with a percentage. The results obtained in this study are that the learning interest of the training participants with each indicator of feeling happy, attention, relevance, and involvement of the training participants is very good.
Arabic Information Extraction Methods A Survey

The IR systems developed for western languages such as English have high performances when used in their own languages but they donâA Zt have this same performance when used for  eastern languages such as Arabic. This is due to the fact that the Arabic language has a different and complex structure and morphology: polysemy irregular and inflected derived forms various spelling of certain words various writing of certain combination character short diacritics and long vowels. In addition an Arabic word is derived from a root by concatenating some affixes based on regular set of word patterns. To address these problems several methods have been proposed. The aim of this paper is to propose a survey of these methods. Although we not claim that this an exhaustive study this work covers near 20 different methods. The main approaches applied in these methods are morphological or statistical analyses. To extract information from an Arabic document the involved methods based on both approaches must answer the following question: How can we find the root of the word we search. To find a word in an Arabic dictionary first we must extract the root of this word and then find this root in the dictionary due to the fact that the vocabulary of the Arabic language is essentially built from the roots derivation. The roots are words composed of three to five consonants letters. This work will contribute to the enhancement of the Arabic information retrieval system performance due to the fact that Arabic information extraction methods are the kernel of such system.
Human Gender and Emotion detection from live voice recordings using AI

Gender identification is considered to be one of the major problems in the field of signal processing. Formerly, this problem has been solved using various image classification techniques which typically includes information extraction from a set of images. However, gender classification using vocal features has recently been a topic of interest to a lot of researchers across the globe. A close scrutiny of some of the human vocal features reveals that classifying gender goes way beyond just the frequency and the pitch of a person. One of the most challenging problems faced in machine learning is feature selection or as is technically known as dimensionality reduction. A similar problem is faced while deciding gender-specific traits-which serve a significant purpose in classifying the gender of a person. This paper will inspect the efficiency and significance of machine learning algorithms to the voice-based gender identification problem. This voice based gender detection can be used for classifying user and displaying related products for online shopping.
POWTOON: PRESENTING SQ3R IMPLEMENTATION IN READING CLASS THROUGH A WEB-BASED MEDIUM

Technology has growth rapidly from time to time and it has been in an era so-called industrial revolution 4.0. Its growth has impacted many aspects of human life including education. Thus, as lecturers whose students are mostly from millennial generation, we should also apply technology in a class to meet their characteristics which cannot be separated from it. Furthermore, the use of technology in a class can give some benefits, like motivating students and delivering the material in an attractive way. Additionally, to maximize this technology usage, the researchers implemented Survey, Question, Read, Recite, and Review (SQ3R) teaching strategy in reading class. It was expected to encourage students in reading and using technology in a reading class. This study is descriptive research and was aimed to describe the implementation of SQ3R in reading class and how the students present the result of their reading using a web-based medium, Powtoon. The research subjects were second semester of English Literature Students at Universitas Teknokrat Indonesia (UTI) who took Basic Reading Class. At the end, the researchers found that the students responded positively by implementing SQ3R in reading class well. They also showed a great performance during their presentation of SQ3R implementation through a web-based medium, Powtoon. Keywords: SQ3R, reading class, web-based medium
Impact of Employee Fraud on Business Entities in Nigeria

The aim of every business is profitability of going concern. However, no matter the profit and injection of fresh capital to a business, the going concern will be threatened, if fraud is allowed to creep into it. The study intends to determine how employee fraud affects the operation and success of business enterprise in Nigeria.Combinations of qualitative research design and survey research techniques were used in this study. Questionnaires were administered to collect data relating to fraudulent practices by employees in private and public sector
A Simulation Study to Investigate the Performance of Survival Mixture Model of Three Different Distributions to Anlayze Heterogeneous Data

In this paper a simulation study of a parametric mixture model of three different distributions is considered to model heterogeneous survival data. Some properties of the proposed parametric mixture of Exponential, Gamma and Weibull are investigated. The Expectation Maximization Algorithm (EM) is implemented to estimate the maximum likelihood estimators of three different postulated parametric mixture model parameters. The simulations are performed by simulating data sampled from a population of three component parametric mixture of three different distributions, and the simulations are repeated 10, 30, 50, 100 and 500 times to investigate the consistency and stability of the EM scheme. The EM Algorithm scheme developed is able to estimate the parameters of the mixture which are very close to the parameters of the postulated model.The repetitions of the simulation give parameters closer and closer to the postulated models, as the number of repetitions increases, with relatively small standard errors. The results revealed that the EM successfully estimated the parameters of the three component mixture model.
A Blind Recognition Algorithm of Scrambler after Convolutional Encoder

Abstract In a wireless communication system, the data is usually scrambled after channel encoding. However, existing research on blind recognition often ignores the pseudo-random scrambling of channel encoding data, which is not in line with the actual situation. To solve this problem, this paper proposes an algorithm to recognize the scrambler parameters with convolutional codes. First, we transform this problem into a cognition problem of cancelling scrambling sequence by using the properties of the polynomial of scrambler. Then, we put forward a fast judgment method after the cancellation of scrambling. The proposed method is based on the conditional entropy and can effectively identify the scrambler after the convolutional encoder. The method has a better performance of resisting error comparing to the traditional method and saves computing resources. Simulation results show that the parameters of the scrambler can still be determined effectively when the bit error rate is 6% in the case of sufficient data.
영어원어민과 한국인의 모바일 텍스트 메시지에 나타나는 비언어적 커뮤니케이션 양상의 화용론적 연구 : 이모티콘 사용을 중심으로

This study aims to explore how the use of emoticons differs between English native speakers and Koreans in terms of social distance and relationships in mobile communication. The research was conducted by surveys with participants' ages ranging from their 20s to over 60 from various professions. A total of 181 responses were collected. The results show that Koreans use emoticons more often than English speakers, and for English speakers, the main reason for using emoticons is to show emotions whereas for Korean, it is to make messages friendly. The survey results show that both groups use emoticons with close relationships such as family, friends, and close colleagues. Both groups responded that they would use emoticons most when sending thanking messages. However, Koreans do not tend to use emoticons much with family when thanking, compared to English-speaking professionals. In cases of relationships that provoke the most discomfort when receiving message with emoticons, English professionals responded colleagues whereas the Korean respondents did not think this is the case. Regarding the appropriate use of emoticons, a number of Korean professionals think emoticons should be used when showing emotions that cannot be delivered by text. However, many English professionals stated that the use of emoticons should be in informal texting and it is not appropriate in a professional relationship. (Daejeon University)
Language mechanisms of political campaigning among the youth in the 2019 presidential election in Ukraine

This article looks into the linguistic mechanisms designed to establish communication between the presidential candidate Volodymyr Zelens’kyi and the youth in the 2019 Ukrainian election campaign. The young voters, who are less familiar with the political, economic, and social processes in the country due to their age and little life experience are at risk of falling victim to political technologists. The article examines Zelens’kyi’s political projects on Facebook, Instagram, YouTube, Tele-gram, and Viber channels, the Twitter page of his campaign stuff, and the personal Facebook page. Aside from technological techniques, the paper focuses on the discourse of the election campaign built by the technologists to win the favor of young voters. It examines a linguistic component of the election rhetoric of this particular political project and reconstructs the main messages addressed to the youth. A complex of special linguistic methods has been applied to the texts,e.g., content analysis, discourse analysis, and critical discourse analysis, which helps “to deci-pher” the ideological components. Successfully selected channels, practices, and methods of virtual communication, “cor-rect” messages, and manipulative methods of the language use of the election campaign waged by Zelens’kyi, e.g., the clash of two generations theme, were converted into the votes “in favour” for the previously inactive electoral group. Convergence tactics were used to adjust the language to the younger generation. These in-clude the use of vocabulary from the Internet and the latest technologies, borrowings, informal youth forms of address, slang forms, language games, graphic capabilities of electronic space, in particular hashtags, stickers, and emojis. Keywords: communication, social networking, targeting, Facebook, vulgarisms, slang.
Suspect Face Depiction and Recognition

In forensic science, it's seen that hand-drawn face sketches are still very inadequate and time-consuming when it involves using them with the newest technologies used for the identification of criminals. Through this paper, we introduce an independent software that allows users to make composites suspect face sketch of the suspect without the assistance of forensic artists using the drag-drop feature inside the software and automatically match the suspect face sketch with the police database much faster and efficiently using deep learning and cloud infrastructure.
John Hope and Aurelia E. Franklin Library: Government Documents: Government Documents Basic Collection

Keeping America Informed Through Government Documents Resources. Discover information from the Library of Congress, the U.S. National Archives, the Official Guide to Government Information and Services, MetaLib (Federal Government Databases Search) & more
ORGANIZATION OF THE ONLINE LABORATORY PRACTICUM AT INORGANIC AND ANALYTICAL CHEMISTRY - A POSSIBLE SOLUTION FOR PANDEMIC SITUATION

The article analyzes the possible methods for performing laboratory work in chemistry during a situation of lockdown or pandemic. Laboratory practice is one of the main ways to learn the basics of science. The results of the experiments performed by the students stimulate their thinking, lead them to discussions and lead them to draw conclusions. All this leads to the optimization of the learning process. The use of very simple tools often helps in learning, facilitating the assimilation of the material. If the transfer of knowledge is not done correctly initially, then the subsequent understanding of the material will be more difficult to achieve. In the absence of a strong connection with previously studied topics it will be more difficult for students to think. Students begin to believe that science is difficult to understand, interest is often lost, and knowledge gained during the theoretical course may lose its value. People are naturally curious and always on the lookout, and the lab is a good place to satisfy that curiosity. In the laboratory, students have the opportunity to test their theoretical knowledge, which structures thinking and increases interest in science.
The Translation Quality on Slurs in BlacKkKlasman Movie

This research aims to analyze the micro translation technique and determine its impact on the accuracy of translation quality on slurs in movie called BlacKkKlasman. It applied a descriptive qualitative method with embedded case study. The data in this research focused on slur expressions explored in BlacKkKlasman movie. They were collected by using document analysis and then they were also validated by 3 raters through FGD (Focused Group Discussion). The results of the analysis revealed that there are 13 micro translation techniques applied. The established equivalent technique becomes the most dominant technique in this analysis because it cannot be separated from the context. As a result, it has a good impact on the quality of translation, especially on accuracy. It can be proven by knowing the average total of the translation quality for accuracy amounting 2.8 of 3 points. So, the translation quality of slurs especially in the term of accuracy assessment in this research is good.
University Students Crisis events Managements in Big Data Age – A Case Study of Nanjing

This research surveys students in Xianlin university town in Nanjing through questionnaires and interviews. Current situation of campus critical incidents managements is analyzed. This research finds that objective information resources in college students crisis events managements are more comprehensive, more concentrated and crisis events are of higher occurrence, elusiveness and contingency. The current management model of college student crisis events has no remarkable effects and big data technology is not widely adopted in managements.
LibGuides: Monroe One Tutor Clips: Home

Tutor Clips are short tutorials to help teachers use the Monroe One BOCES Multimedia services.