Reviewerly/exHarmony huggingface dataset:
Ts. Dr. Lee Khai Loon creates specially designed chalet management system for hotel industry

A lecturer from the Faculty of Industrial Management (FPI), Universiti Malaysia Pahang (UMP), Ts. Dr. Lee Khai Loon, 34, has created a research product called ChaMs.
Male or female, does it matter? The variation of emoticon use on Tunisians’ Facebook conversations

Computer-Mediated Communication (CMC) has witnessed a meteoric rise that not only reshaped people’s lives but also their language. In its early days, CMC was seen as an impersonal medium, effective in task-oriented communication but inadequate in socio-emotional conversations, because it lacks nonverbal cues. Against the development of CMC and the necessity of nonverbal information in communicative effectiveness, CMC offered its own version of nonverbal cues; hence the inception of emoticons that are mainly used to compensate facial expressions in face-to-face conversations and help CMC users to express their emotions in a fast brief way. Regarding the widespread use of social network sites and the development of CMC mediums, the use of emoticons has drawn the interests of many researchers. The current research adopts a Computer-Mediated Discourse Analysis approach to emoticon use. The study examines the role of gender as a social factor involved in nonverbal cues variation, focusing on the use of emoticons. Against the speculative claim that Arabic males and females differ in their linguistic choices, the analysis reveals that the role of gender was blurred in relation to emoticon use. Accordingly, gender considerations fade away in the Arabic Tunisian e-discourse.
ANALISIS KESALAHAN HANGEUL MATCHUMBOEP (EJAAN BAHASA KOREA) DALAM PENULISAN ESAI DESKRIPTIF MAHASISWA PENDIDIKAN BAHASA KOREA ANGKATAN 2017 [ERROR ANALYSIS OF HANGEUL MATCHUMBOEP (KOREAN SPELLING) ON CLASS 2017 KOREAN LANGUAGE EDUCATION STUDENTS’ DESCRIPTIVE ESSAYS]

This research is a descriptive qualitative study that aims to analyze the errors of Hangeul Matchumboep (Korean Spelling) in descriptive essays of Korean language education students. The focus of this research is to describe the types of Korean spelling errors and to calculate the percentage of Korean spelling errors made by students of Korean Language Study Program at the Faculty of Language and Literature of the Indonesian University of Education class of 2017. The data of this research are descriptive essays written by Korean language education students class of 2017. As for the selection of the participants, the researcher employs a simple random sampling technique with a total of 38 participants, which then divided into three types; high, medium, and low error values. The results indicate that the higher the value, the lower the error rate. Types of dominant writing errors are the type of vocal letter substitution error with 43,24% and the use of spaces with 45,94%. After the types of spelling mistakes were found, it can be concluded that the cause of these errors is the lack of student competence in understanding the use of vocabulary in certain forms of sentences that are bound by the phonological rules. This effect can be caused by learning incomplete second language rules learned by students (intralingual) and the influence of language rules from the first language on the second language (interlingual). Keywords: Spelling Error Analysis, Hangeul Matchumboep, Essay
RMLOA: Stata module to compute limits of agreement for data with repeated measures

rmloa computes Bland and Altman's limits of agreement (LOA) for paired X-Y observations. When i() is not specified, the LOA is computed assuming that each X-Y paired observation is independent of all other observations (Bland and Altman 1986). When i() is specified, LOA is computed for repeated measures, using either the method where the true value of the difference is constant (by specifying the constant option), or the default, which uses the method where the true value of the difference varies (see Bland and Altman [2007] for the details of these methods).
Extractive Text Summarization Using Supervised Learning and Natural Language Processing

The amount of textual data that we are exposed to is growing each day. It is very difficult to browse through all the available textual matter to find relevant material or to read through all the information in order to stay updated. To keep up with the pace, the need for a tool that can automatically reduce the amount of content while also retaining the key points and essence of long pieces of text arises. Automatic text summarization mechanisms form a solution well suited to this problem which is what our proposed model aims to implement. In this paper, a Natural Language Processing based extractive approach is used for summarization of a single document. An extractive summary is assembled by selection of a subset of information rich sentences from the source document. A supervised approach is used here in which Support Vector Machine, K-Nearest Neighbour and Decision Tree algorithms are used to generate models whose performances are compared using ROUGE metric. The highest scoring model is used to summarize an unseen document. The summary is displayed as text and converted to audio form. The results obtained using the proposed approach are sufficiently good as average F1 scores secured for ROUGE-1, ROUGE-2 and ROUGE-L are 0.706, 0.630 and 0.434 respectively.
On some projective triply-even binary codes invariant under the Conway group ${\rm Co}_1$

A binary triply-even $[98280, 25, 47104]_2$ code invariant under the sporadic simple group ${rm Co}_1$ is constructed by adjoining the all-ones vector to the faithful and absolutely irreducible 24-dimensional code of length 98280. Using the action of ${rm Co}_1$ on the code we give a description of the nature of the codewords of any non-zero weight relating these to vectors of types 2, 3 and 4, respectively of the Leech lattice. We show that the stabilizer of any non-zero weight codeword in the code is a maximal subgroup of ${rm Co}_1$. Moreover, we give a partial description of the nature of the codewords of minimum weight of the dual code.
Introduction to Db2

Welcome to this introduction to Db2. Since you are here, you are likely looking for a place to get started with Db2. Our hope is that this book will be that first step you are looking for. This book is meant to be an introduction to the Db2 environment and to the Python interface. The first half of the book will cover Db2 at a level that should be of interest to both administrators and programmers. It will cover many aspects of Db2 that you will make use of in either of the two roles. The last half of the book will concentrate on using the Python programming language to interface to Db2. While mainly oriented to programmers, administrators will find it useful as well for some of their everyday tasks.
Smart Shaving Mirror

Shaving of a face can be difficult for many people. This task can be made even more challenging for a person who encounters difficulty with either movement or vision. This project investigated the use of smart mirror technology to produce a mirror that would assist the user in the shaving process. The smart mirror was intended to intuitively provide an enlarged image of the area of the user’s face that is being shaved. The selected region would be determined by tracking the movement of the shaving device being used.Based on the literature review, three tracking algorithms were produced and tested. Two of these were based on the K-means algorithm. The first used the traditional method of K-means clustering, while the second implemented two different optimisation techniques discovered in the literature.The first technique reused the cluster centres from the previous frame. This technique lowered the number of iterations required to complete the clustering and therefore, the computational time decreased. The second method checked if the Euclidean distance from the pixel to the cluster had increased as a test to determine if the pixel needed to have its cluster assignment recalculated. The combination of these two techniques resulted in a time saving of over 60% when incremental differences were present in the frames.The third tracking technique implemented was the cross-correlation algorithm. The cross-correlation algorithm in its original form is very heavy computationally. However, through the use of the integral image technique, the algorithm operated with high efficiency.Implementing the software in a more efficient language, such as C++, has the potential for completing a working smart mirror with the desired capabilities.
AI in the Medical Decision Context

This famous quote from the 19th-century French poet, novelist, and dramatist Victor Hugo somewhat summarizes the complexity of any decision-making process. Typically, a straight line defines the shortest path between two points or objects. These objects need not be physical objects and may simply be an abstract concept, such as an objective or a resolution, in which case the straight line is assimilated to the shortest process one would take to achieve such objective. Through the straight-line metaphor, Victor Hugo attempts to establish the necessity of careful examination of the implications of every decision to be made. Stated differently, it is in the decision maker's best interest to understand, probably to the best of their abilities, the implications or consequences that may happen as a result of the decision being made.
Sign Language Recognition using Convolutional Neural Networks in Machine Learning

Sign language is a way or means of communication used by individuals with speaking and hearing impairments. It is one of the essential means of communication for such individuals to stay connected with the rest of the world and to express their ideas, needs or beliefs. There is a great need for an efficient and cost-effective real-time translation software or tool in the modern-day world to understand what the disabled individual is trying to express with accuracy. The proposed system is a real-time translation software or tool used for the conversion of hand gestures into natural languages such as English used by people for communication. The translated data will interpret the alphabet or number associated with the sign shown to the live camera feed. The software proposed in this project is created using Python, NumPy, OpenCV, LabelImg and TensorFlow. The image or video obtained from the camera device will be processed using convolutional neural networks (CNN). The CNN model is pre-trained with a large dataset from open sources or using a custom dataset on sign language gestures. Based on the recognition rate and prediction analysis from the CNN model, the provided image or video will be classified as the respective Alphabet or number from the American Sign Language Set. This helps the individuals to understand the sign language used by disabled individuals with ease.
The Exploration of Dialogic Teaching in College Mental Health Education Courses

Dialogue teaching; People-oriented perspective; Mental health education
Hybrid Inception Recurrent Residual Convolutional Neural Network (HIRResCNN) with Harmony Search Optimization (HSO) for Early Breast Cancer Detection System

For women, most common cause of death is Breast tumour and in worldwide, it is the second leading reason for cancer deaths. Due the requirement of breast cancer’s early detection and false diagnosis impact on patients, made researchers to investigate Deep Learning (DL) techniques for mammograms. There are four stages in this proposed HIRResCNN framework, namely, Pre-processing, reduction of dimensionality, segmentation and classification. From images, noises are removed using two filtering algorithms called Median and mean filtering in pre-processing stage. Then canny edge detector is used for detecting edges. Gaussian filtering is used in canny edge detector to smoothen the images. In the next dimensionality reduction stage, attributes are correlated using Principal Component Analysis (PCA) inclusive of related features. So, this huge dataset is minimized and only few variables are used for expressing it. In order to detect the breast cancer accurately, foreground and background subtraction is done in the third stage called segmentation stage. At last, for detecting and classifying breast cancer, a Hybrid Inception Recurrent Residual Convolutional Neural Network (HIRResCNN) is introduced, which integrates Harmony Search Optimization (HSO) to tune bias and weight parameters and classification accuracy is enhanced using HIRResCNN-HSO model. Strength of Recurrent Convolutional Neural Network (RCNN), Residual Network (ResNet) and Inception Network (Inception-v4), are combined in a powerful Deep Convolutional Neural Network (DCNN) model called HIRResCNN. using Mammographic Image Analysis Society (MIAS) dataset, various experiments are conduced and results are compared with other available techniques. Around 92.6% accuracy rate is produced using this proposed HIRResCNN classifier in finding breast cancer.
Classification Of Batik Keraton and Pesisir Imagery Using Convolutional Neural Network

Convolutional Neural Network (CNN) is a machine learning method of Multi-Layer Perceptron (MLP) development designed for 2-dimensional data processing. Therefore, we have conducted a literature study on CNN that is used to classify the image of keraton and coastal batik. The results of this literature study can be seen from the accuracy of the classification of batik imagery using CNN. IThis this paper explains the methods, features, and also the application of CNN for the classification of batik imagery, especially keraton batik and coastal batik. We used the sequential method for CNN and implemented it using Google Collab. In this study you classified 4 batik motifs namely Batik Kawung, Batik Lasem, Batik Megamendung, and Batik Parang. The accuracy rate obtained in this study was 92%.
Business Model Canvas : Intelligent Windows / Noor Alia Yamin

Intelligent Windows provide windows grilles and glass with great efficiency, safety and security. For example, window grilles can be opened in a short time with aided of technology fingerprint scanner which occupants can use during emergency like fire. The transparency of window glass also can be changed from transparent to opaque or vice versa which they comfort and feel safe when staying at home without worrying people outside can see inside the home through windows
Real-time currency recognition on video using AKAZE algorithm

Currency recognition is one of the essential things since everyone in any country must know money. Therefore, computer vision has been developed to recognize currency. One of the currency recognition uses the SIFT algorithm. The recognition results are very accurate, but the processing takes a considerable amount of time, making it impossible to run for real-time data such as video. AKAZE algorithm has been developed for real-time data processing because of its fast computation time to process video data frames. This study proposes the faster real-time currency recognition system on video using the AKAZE algorithm. The purpose of this study is to compare the SIFT and AKAZE algorithms related to a real-time video data processing to determine the value of F1 and its speed. Based on the experimental results, the AKAZE algorithm is resulting F1 value of 0.97, and the processing speed on each video frame is 0.251 seconds. Then at the same video resolution, the SIFT algorithm results in an F1 value of 0.65 and a speed of 0.305 seconds to process one frame. These results show that the AKAZE algorithm is faster and more accurate in processing video data.
Tillgänglighet för synnedsatta på webben medhjälp av Wordpress-teman och plugins

The purpose of this report is to highlight that there is a need to learn more about accessibility in web development and web design, and to explore how Wordpress can facilitate the practical work o ...
Pengaruh Model Two Stay Two Stray Terhadap Hasil Belajar dan Aktivitas Siswa Pada Pelajaran IPS

The purpose of this research was to identify the differences of social studies study result and activites between studenst who studied with Two Stay Two Stray model (eksperiment class) and students who studied with conventional learning model (control class) at 8 th grader in Belitang 1 st Junior High State School . This research was using quasi experiment with pretest-posttest control group design. The data were collected by using observation, documentation, and test. In the other hand, data analysts technique was paired-sample T-Test and two way anova for the different test and influence test. Based on the research result, it  can be concluded that (1) there were a difference between student who studied with Two Stay Two Stray model and conventional methode toward the social studies study result, and (2) there were influnce of Two Stay Two Stray model toward student activities when they studied social studies. Penelitian ini bertujuan untuk mengetahui perbedaan hasil belajar IPS dan aktivitas siswa antara siswa yang diberi perlakuan model pembelajaran Two Stay Two Stray (kelas eksperimen) dengan siswa yang diberi perlakuan model pembelajaran konvensional atau ceramah (kelas kontrol) dan mengetahui pengaruh model pembelajaran Two Stay Two Stray terhadap aktivitas dan hasil belajar IPS siswa. kelas VIII SMP Negeri 1 Belitang. Penelitian ini merupakan penelitian quasy experiment (eksperimen semu) dengan design pre-test post-test control group design .Teknik pengumpulan data yang digunakan adalah observasi, dokumentasi, dan tes. Sementara analisis data yang digunakan adalah uji paired-sampel t-test dan anova dua jalur untuk uji beda serta uji pengaruh. Adapun hasil penelitian menunjukan bahwa (1) terdapat perbedaan hasil belajar IPS siswa yang belajar menggunakan model pembelajaran Two Stay Two Stray dengan yang belajar menggunakan metode ceramah, dan (2) terdapat pengaruh penggunaan model pembelajaran Two Stay Two Stray terhadap aktivitas belajar IPS siswa. Kata kunci: aktivitas belajar, hasil belajar, model pembelajaran two stay two stray
Mæling á notendaupplifun á Sjónvarpi Símans

Sjonvarp Simans er gagnvirkt sjonvarp með grafiskt notendaviðmot sem býður notendum upp a linulega og olinulega dagskra sjonvarpsefnis. Sjonvarp Simans Premium er askriftarleið sem býður upp a fjolmargar kvikmyndir og þattaraðir eða um 8 þusund klukkustundir af efni og eru askrifendur um það bil 35.000 einstaklingar. Þegar notendur nota voru þa þarf upplifun þeirra að vera anaegjuleg svo þeir seu liklegri til að vilja nota voruna aftur. Notendur verða hliðhollir vorum ef þaer falla að gildum þeirra og uppfylla markmið notendanna. Þess vegna er notendaupplifun mikilvaeg.Markmið rannsoknarinnar er að maela notendaupplifun a Sjonvarpi Simans. Rannsakendur notuðu fjorar mismunandi aðferðir; eigin upplifun, viðtol við notendaþjonustu, notendaprofanir fyrir vana og nýja notendur og spurningalista i formi vefkonnunar.Afrakstur rannsoknarinnar er tviþaettur; ferlar sem rannsakendur maela með fyrir Simann til að gera frekari maelingar i framtiðinni og tillogur að umbotum i viðmoti sem gaeti baett notendaupplifun af Sjonvarpi Simans. Meginniðurstoður rannsoknarinnar benda til þess að notendaupplifun askrifenda Sjonvarps Simans Premium se almennt goð. Sjonvarp Simans virðist uppfylla krofur notenda sinna og falla að gildum þeirra þar sem þjonustan er su vinsaelasta a Islandi i dag. Þo kom jafnframt i ljos að stor hluti notenda virðast hafa takmarkaða þekkingu a viðmotinu og na þar með ekki að nýta valmoguleika Sjonvarps Simans til fulls.; Sjonvarp Simans is an interactive television service with graphic interface and offers their users linear, live and non-linear content. Sjonvarp Simans Premium is a subscription based service which offers a multitude of movies and series and gives access to around 8000 hours of content. There are about 35.000 subscribers to this service today. When users use a product, their user experience has to be pleasant so it is possible for the user to be willing to use the product again. Users become favourable to certain products if the products adhere to their values and fulfill their goals. Therefore user experience is important. The goal of this research is to measure user experience for Sjonvarp Simans. Researchers used four different methods; test the product themselves, interview with customer service, user testing with new and experienced users and a web survey. The result of this research is twofold; processes that researchers recommend for Siminn for further appraisal of user experience in the future and suggestions for how to better the interface of Sjonvarp Simans which could result in better user experience for their subscribers. The results of the research suggest that user experience of Sjonvarps Simans Premium is on average good. Sjonvarp Simans seems to fulfill its user’s demands and adheres to their values because the service is the most widely used in Iceland today. Furthermore, the results show that a large portion of users have limited knowledge of the interface and can therefore not use Sjonvarp Simans to its fullest potential.
Estrategias didáctico-pedagógicas en contextos educativos de emergencia: la UCO Psicología, Sujeto y Aprendizaje en el curso 2020 (Facultad de Psicología, Udelar)

This article analyzes issues related to the communication in virtual education, the accessibility of resources in the context of health and educational emergency, based on the experience of the Curricular Unit Psychology and Learning, corresponding to the Degree in Psychology (Universidad de la Republica). It describes the proposal and the adjustments in the current context. Also it is analyzed students opinions related to the objectives and contents of the course, to the didactic-pedagogical proposal, as well as to the relationship between teachers and students.The conclusions reflect on the importance of promoting autonomy strategies and the regulation of learning processes in the current context from closeness and support in the pedagogical bond. Likewise, emphasis is placed on the importance of iteration and recursion, which allows the generation of flexible designs that adapt to the needs and conditions in which learning processes are developed.
프로젝트 관리자의 역량이 프로젝트 성과에 미치는 영향 : 건설업과 컨설팅업 비교 중심으로

This research aims to explore whether the competence of project managers will affect project performance in the construction industry and consulting industry, which have different characteristics and types in the era of convergence. The fourth industrial revolution is triggering innovative changes through the integration of various fields, and the importance of project managers' effective response capabilities is emerging. Therefore, this study identifies the competency factors that have the greatest impact on project performance in the project manager’s competence, and further examines whether there is a difference in the impact of project manager’s competence. On the project. Project performance compared by industry. This study conducted a survey of workers in the construction and consulting industries and analyzed the results. According to the results of this study, if a highly qualified project manager is invested in a project that combines construction and consulting, it is expected that the probability of project success will increase. As a result, both the construction industry and the consulting industry affected the project performance, there were differences in factors affecting the project manager's competency of the construction industry and the consulting industry.