Reviewerly/exHarmony huggingface dataset:
Analysis of Educational Change in Gifted Education Depending on Gifted Education Areas

The purpose of this study was to examine teachers’ perception of educational needs and educational change in gifted education depending on gifted education areas in the 4th industrial revolution. For this purpose, we surveyed 221 gifted teachers. The results are follows. First, Most teachers perceived gifted education and the educational reform in gifted education are necessary, but our gifted educational system is not ready for the change. Second, Teacher perceived creativity, critical thinking/problem solving abilities and cooperation are important abilities for the gifted students in the future. Especially, educational needs for science gifted areas are communication, creativity, critical thinking/problem solving abilities and curiosity. However, educational needs for liberal arts gifted areas are creativity and persistence. Finally, most gifted teachers perceived educational innovation in gifted educational curriculum and contents development in gifted educational curriculum is the most urgent. Also, educational change in gifted identification, educational curriculum and contents, professional development strategy, and gifted educational policies are discussed between science and non science areas. Implications of the study were discussed in depth based on the results.
Research Guides: Diverse Children's and Young Adult Literature: Finding Diverse Books Online

This guide collects tools that help readers, teachers, and librarians locate diverse children's literature and young adult literature, including awards, blogs, and book lists.
Rancangan Sistem Informasi Kegiatan Masjid Berbasis Web (Studi Kasus: Masjid Suciati Saliman)

Suciati Saliman Mosque is one of the Great Mosque that has many worshipers. Suciati Saliman Mosque is located in Gito Gati Street, Grojogan, Pandowoharjp, Sleman. The number of activities that held at the Suciati Saliman Mosque whose publications are still limited, makes it difficult for many people to get information. Suciati Saliman Mosque also does not have a system or media to share that can be easily accessed by everyone. For this reason, it is need to design a web-based information system about all the activities  that can be accessed anywhere and anytime by everyone, The stages of this research include data collection by interviewing, analyzing data, then designing use case diagrams, activity diagrams, databases, and prototype.
Ontology based Chatbot for General Conversation using Deep Natural Language Processing

Chatbots are replacing a number of the roles that were traditionally performed by human workers, like online customer service agents and educators. From the initial stage of rule-based chatbots to the time of rapid development in AI, the performance of chatbots keeps improving. The aim of this research is to develop a chatbot for general conversation using Cornell movie corpus dataset, a dataset of more than 600 movies containing thousands of conversations between lots of characters. Moreover, the model can be used to train different datasets to create chatbots in any domain such as chatbots for movie buffs, weather forecasting, taking online appointment with doctor as and more. It deals with building of a super powerful chatbot but by implementing a state of the art and Deep Natural Language processing model. The seq2seq model will be implemented with one of the best API to build deep learning applications or artificial intelligence, which will be tensor flow and generate a chatbot for general conversation like a friend.
LibGuides: ENL for Elementary School Library: Parent Resources

This LibGuide is intended to provide guidance and resources for students, parents and classroom teachers in supporting ENL student in grades K-5. Guidance and content for parents of ENL students
Disparities on the Internet Use among European Countries

espanolEl presente estudio analiza el uso de internet entre paises europeos a partir de los datos de la European Social Survey (2016), con el fin de de ampliar el conocimiento relativo a la proliferacion de esta tecnologia. Este estudio pretende analizar y ampliar la informacion relativa al uso de internet, asi como presentar las diferencias entre los distintos paises participantes en el estudio. En esta linea, se ha realizado un analisis descriptivo que incluye variables sociodemograficas como genero, nivel educativo, o pais. Ademas, se ha analizado la frecuencia de uso de internet asi como el tiempo de conexion online, para explorar diferencias entre ambos. Se presentan resultados y conclusiones. EnglishInternet Use among European Countries has been analyzed attending data provided by the European Social Survey (2016). The present article aims to offer broader information regarding Internet use and remark existing disparities among participant countries on the Survey. Sociodemographic variables as gender, age, education level or country have been taken into consideration for presenting a descriptive analysis of data. Furthermore, the frequency of internet use and time spent online, both, have been examined to explore differences among them. Results and conclusions are presented for discussion.
Investigating the gap between existing and desirable institutional research using distance analysis technique (Case study of Noushirvani Babol University of Technology)

The present study was conducted with the aim of clarifying the existing and desirable situation of similar functions of institutional research in Babol Noshirvani University of Technology. The Survey population consisted of 70 experts of Babol Noshirvani University of Technology, 60 of whom were selected by stratified random sampling.The instrument used in this study was the standard questionnaire for the evaluation of institutional research functions that contained 37 pairs of corresponding questions, which were designed based on the five-point Likert scale. To analyze the data using Wilcoxon's tests, Spearman correlation using SPSS21 software was used. The findings showed that there is a gap in all aspects of institutional research. In the dimensions, from the highest to the lowest gap in this analysis are for policies, information authority, accountability, evaluation, research and decision making, communication and intermediate, the greatest gap is related to the assessment of the degree and success rate of graduates in engagement and entrepreneurship. From the evaluation point and the lowest gap is related to the relationship between universities and international institutions from communication point. There is a positive correlation between the between all of gaps. The status quo for institutional research is not meeting expectations from experts in Babol Noushirvani University of Technology. Given the effects and interactions of the gaps on each other, the adoption of a multifaceted decision-making approach to manage and reduce existing distances is inevitable.In this regard, the establishment of an institutional research office can be a good way to this achieve goals.
KAJIAN DESAIN KARAKTER PERSONA 4 BERDASARKAN PENDEKATAN ARCHETYPE DAN MANGA MATRIX

Games are often used as an entertainment medium that occupies a place in the hearts of consumers. One type of game that still has a high interest in console games. Persona 4 is a Playstation game that was released on July 10, 2008, and won the Game of the Year title from many game criticism and media review games. Persona 4 was praised for its unique visual style, interesting and powerful stories, and the bold adoption of social themes and gender sexuality. The visual aspect of Persona that will be analyzed in this research is related to the creation and design of characters in intellectual property. This research will be examined in terms of overall character design, using Carl Jung's Archetype approach to dissect personality characterization, then its relation to visual using Hiroyoshi Tsukamoto's Manga Matrix approach and then deepened by using intertextual theory to dissect conceptually, as well as what aspects influence the character's creation. So it is hoped that the results of this study can be a reference material for developing character design created in the world of learning and also industry, especially in the gaming industry, to create fantasy characters that have an appeal in attracting players.
Blind Detection of Digital Image Partial Saturation Manipulation

With the rapid development of the Internet and the popularization of digital image equipment, digital images have become our main source of information. At the same time, the detection technology of malicious tampering with the original content of the image came into being and developed rapidly. For the enhancement of digital images, the color saturation of the image will often be modified to some extent. In the current research, few related documents detect the image saturation tampering. This paper proposes a feature-based detection algorithm for image tampering with Photoshop. In this paper, the mean and variance of the Gaussian fitting saturation histogram in HSV space, the mean value of the angle between the brightness and saturation in HSI space and the estimated noise variance are extracted respectively. The K -means cluster is used to classify the image blocks, marking the tampering part. Experimental results show that the proposed method has better detection results for local saturation tampering.
AN ANALYSIS OF DEVELOPING ENGLISH TEACHING MATERIALS AT THE VOCATIONAL HIGH SCHOOL IN CIMAHI

The purpose of this study was to analyze the development of English teaching materials at the vocational high school (SMK) Mohammad Toha in Cimahi, the availability and suitability of English teaching materials to the needs of students, especially teaching materials / materials that students learn according to their level of needs in the world of work especially for SMK students. The research problem formulation is; 1) how is the development of English teaching materials used in vocational high school (SMK) Mohammad Toha Cimahi especially in computer and network engineering (TKJ) majors? 2) what difficulties did the teachers get in developing specific English language teaching materials ?. And the purpose of the study was to develop more specific English Language Teaching Materials in accordance with the field of vocational students at Mohammad Toha Cimahi Vocational School (SMK) especially in the Department of Computer and Network Engineering (TKJ). 2) To find solutions to the obstacles faced by teachers in developing specific English Language teaching materials. This research method uses descriptive qualitative method which aims to describe the development of English Language Teaching Materials in Vocational High Schools (SMK). The results and findings in the field that students have high motivation to learn English, but there are obstacles they face including; 1) The material presented still does not meet the target needs of students for their career world, 2) Authentic material is not yet available, 3) The absence of developers / innovations in the development of teaching environments conducted by schools and teachers so that the material presented still does not answer the needs of students in SMK, innovation has not been made in developing teaching materials at school so the material presented is still textual. Teachers experience difficulties in developing teaching materials because of the lack of knowledge, the absence of experts in the development of teaching materials and the lack of training and reference in the development of teaching materials.
ІГРОВІ ТЕХНОЛОГІЇ НАВЧАННЯ ТА ОЦІНЮВАННЯ ЯК ОДНА З ІННОВАЦІЙНИХ ФОРМ РОЗВИТКУ ПРОСТОРОВОЇ УЯВИ

The article gives an example of the innovative approach to computer technologies in the educational process of spatial awareness development on the example of gamififcation. Gaming training technologies represent a special learning method that involves mastering the learning material, forms the interaction between learning and application of knowledge in practice with use of the game, and also helps to find and attain the desired aim, that is, to achieve a certain result. There was considered the experimental version of the black box of educational and evaluation computer game with use of the combined algorithm of the spatial awareness development test, which was proposed and investigated by the author in the article «Algorithmization tests development Algorithmization tests development orithmization tests development of spatial imagination» in the scientific magazine MOTROL, and the reasonability of its creation and introduction into qualification professional or teaching and learning processes. There was elaborated the structure of the “Exam” block, which consists of several functional sequential elements, in one of them sub-blocks were separately marked out that provide the formation of initial data, set the initial and boundary conditions in accordance with the chosen type of system that is being modeled.
How to Download APK from Google Play Store (Step by Step)

Downloading APK files from Google Play is quite easy. You will learn how to do the same by reading the instructions on this article. This is the latest ...
DEPLOYING BACKGROUND SUBTRACTION APPROACH FOR TRACKING AND DETECTING MOVING OBJECTS

This paper illustrates the deployment of the background subtraction (BGS) approach in detecting and tracking the targeted moving objects (MOs).Through the BGS method, there is a potential of cost-saving because the process of storing data occurs once the motion is detected.The aim was to detect the MOs effectively.The applied technique is applicable at all scenarios and places that need the real-time video surveillance systems (VSS), including airports, forest, frequent entrances for criminals, traffic monitoring, country borders, cash machines, schools, banks, among other challenging outdoor and indoor areas.The concept of installing VSS is substantially much needed.The BGS method was employed with fewer complications so that the approach can be utilised in a pragmatic manner (conditions) where the VSS is highly needed.The VSS must be more convenient, effective and efficient to enhance advanced security systems.
Domesday statistics (Documentation)

A description of the DomesdayStatistics database, which includes all significant Domesday statistics, several millions data items allocated between ten tables and some 180 fields of data. A breakdown of the structure of the ten tables and each of their fields or columns of data is provided.
Cyclopropane Hydrogenation vs Isomerization over Pt and Pt–Sn Intermetallic Nanoparticle Catalysts: A Parahydrogen Spin-Labeling Study

Hyperpolarized propane produced by heterogeneous hydrogenation of cyclopropane with parahydrogen has been proposed as a safe inhalant for sensitivity-enhanced in vivo magnetic resonance imaging. The present studies were initially motivated by the possibility to improve the pairwise selectivity of hydrogenation using Pt–Sn intermetallic nanoparticle catalysts which achieved a record high pairwise selectivity in the hydrogenation of propene. The performance of the Pt₃Sn catalysts is found to be comparable to that of the Rh/TiO₂ catalyst employed in a recent publication. However, significant amounts of propene are also produced by isomerization over the Pt–Sn catalysts. The isomerization is promoted by weakening of the propene–surface binding energy and depletion of the H adatom density. While this is a remarkable finding from the perspective of catalysis science, the isomerization to propene over the Pt–Sn catalysts negates the advantages of using cyclopropane rather than propene as the safer reactant for in vivo use.
Advances in the application of artificial intelligence in critical care medicine

Artificial intelligence technology has produced a series of advanced models and algorithms in the field of critical care. Many model applications have been tested by clinical trials to support the physicians′ optimal clinical decision making. In this review, we will introduce application progresses of artificial intelligence in intensive care. This review aims to make clinicians understand how artificial intelligence serve in critical care medicine. The major contents of this review include introducing characteristics of data in intensive care unit (ICU), e.g., time series, image, text and discrete data. Early warning models in the field and research based on medical information mart for intensive care (MIMIC) database will be discussed in detail. Based on the application of artificial intelligence, clinicians will make better clinical decisions in a timely manner so as to improve clinical service ability for caring critical patients.Key words: Artificial intelligence; Big data; Critical care medicine; Intensive care unit
LibGuides: Open Access to Resources during COVID-19: Free Educational Resources for Teachers and Parents

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.
Naïve Bayes: Machine Learning and Text Classification Application of Bayes’ Theorem

This paper introduces the basics of classification and machine learning, as well as building an application of one classification model. The classification model chosen is based on Bayes’ Theorem and adapts it to handle large datasets. The paper also introduces a more meaningful precision-recall measure which is suited to machine learning algorithms.
실용 학문 전공 Z세대 학습자를 위한 글쓰 기 수업 사례

purpose of this article is to introduce writing classes for Z-generation learners who major in practical subjects. Through this, we aim to highlight the debate over writing classes that can be useful to practical learners of Z generation. Here, the Z-generation refers to only those who, born between 1995 and 2005, are currently going through their youth period. Also, a practical study major means a learner who has been engaged in a curriculum designed for a job finding strategy, ones quite different from the humanities majors. This debate is meaningful as an increasing number of Korean young people are choosing higher education because of employment. For this discussion, it is essential to check the situation at universities in Korea. This is because the majority of Z-generation in Korea is currently attending universities. The discussion specifically includes the issue regarding whether universities should keep their status as ivory tower of truth or become a gateway to employment. It will also focus on changes in learners due to policies to strengthen liberal arts and longer life expectancy. Then, we can start a full-fledged discussion for the students of practical studies. Writing classes are going through the process of finding a relationship between thinking education and working(job) education—between liberal arts and employment. This paper will describe the objectives and scopes of writing classes at actual sites and, in detail, their content and methods. In the process, we would like to provide a sketch of the design of future writing courses in liberal arts at universities by looking at prospects and directions of writing classes. This paper emphasizes the importance of writing in modern society and it is meaningful in that it offers some powerful suggestions for the spread of writing education at universities.
Learning to Evaluate Neural Language Models

Evaluating the performance of neural network-based text generators and density estimators is challenging since no one measure perfectly evaluates language quality. Perplexity has been a mainstay metric for neural language models trained by maximizing the conditional log-likelihood. We argue perplexity alone is a naive measure since it does not explicitly take into account the semantic similarity between generated and target sentences. Instead, it relies on measuring the cross-entropy between the targets and predictions on the word-level, while ignoring alternative incorrect predictions that may be semantically similar and globally coherent, thus ignoring quality of neighbouring tokens that may be good candidates. This is particularly important when learning from smaller corpora where co-occurrences are even more sparse. Thus, this paper proposes the use of a pretrained model-based evaluation that assesses semantic and syntactic similarity between predicted sequences and target sequences. We argue that this is an improvement over perplexity which does not distinguish between incorrect predictions that vary in semantic distance to the target words. We find that models that outperform other models using perplexity as an evaluation metric on Penn-Treebank and WikiText-2, do not necessarily perform better on measures that evaluate using semantic similarity.
Silence as a Message Conveying Process: A Yorùbá Paradigm

Usually, the picture that comes to the human mind at the mention of the word, silence, is absence of sound.This could be linguistically explained as a situation where nothing is uttered. In a way, it may be countedas something out of place when it comes to achieving a communication purpose in discourse as it is believedthat speech is central in this regard. Meanwhile, during discourse, apart from speech, several discursivestrategies including silence are usually exploited by interlocutors to maximise their communicativecompetence regardless the language(s) they use. It is not surprising then to identify certain instances inwhich speakers of Yoruba language exploit this process to covey messages during linguistic interaction.Precisely, the reality of this is culture specific and thus hopeful to be meaningful enough for evaluation inactualising discourse analysis objectives especially from a Yoruba perspective, using Clair’s (2003)provision as a theoretical framework.
Evaluation of an AI system for breast cancer screening in mammograms of young women.

e14068 Background: The interpretation of the mammography is challenging, especially in young women, who have dense breasts. Artificial intelligence (AI) promises to improve breast cancer detection; however these systems should be tested on different datasets. Our aim is to evaluate the performance of a publicly available deep convolutional neural network, developed by Wu et al. (IEEE Trans. Med. Imaging, 2019), applied to mammograms of young women. Methods: The test dataset consisted of mammograms obtained on a single occasion from 135 young women (up to 40 years old) on a Siemens mammography system. Each exam consisted of 4 full-field digital mammography images and had two labels (left malignant and right malignant). Mammograms were analyzed by a single mammography trained radiologist, using BI-RADS reporting tool. Among 270 labels, 170 were malignant and 100 were non-malignant. We used the program developed by Wu et al. that, according to the authors, presents AUC of 0.895 for the general population. As a preliminary test, we ran this program in a publicly available dataset named INbreast and obtained AUC of 0.8708, very close to the result reported by the authors. Results: We applied the program to our dataset of young women and obtained AUC of 0.876. We computed its standard error, obtaining 0.0290. At equal error rate point of the ROC curve, specificity and sensitivity are both 0.774. With this result we conclude that, at least for our dataset, cancer detection in young women is not substantially more difficult than in general population for an AI system. We fine-tuned the weights of the original network to the population of young women using transfer learning and obtained a slight improvement in AUC: 0.9018±0.0528, where the mean and the standard error were obtained using 5-fold cross validation. As the improvement was small and the standard errors are large, we would have to test on a larger test set to ensure that the observed improvement is real. Conclusions: We conclude, based on the experimental data, that there is no substantial degradation in accuracy when a mammogram screening program for general population is used for young women. We also conclude that it seems to be possible to obtain a slight improvement in accuracy by fine-tuning the network for the population of young women.