Reviewerly/exHarmony huggingface dataset:
Employing Open Book Tests in Evaluating Female Graduate Students in the College of Education at Imam Mohammad bin Saud Islamic University: A Case Study: توظيفُ اختبارات الكتاب المفتوح في تقييم طالبات الدِّراسات العُليا بكليَّة التَّربيَّة في جامعة الإمام محمَّد بن سعود الإسلاميَّة: دراسة حالة

The study aimed to reveal the benefits of employing open book tests in evaluating female graduate students in the College of Education at Imam Mohammad bin Saud Islamic University, by identifying the faculty members' attitudes about employing open book tests in evaluating female graduate students in the College of Education at Imam Mohammad bin Saud Islamic University. As well as, the study aimed to clarify the implications of employing open book tests in evaluating the female graduate students on the teaching practices of faculty members at the College of Education at Imam Mohammad bin Saud Islamic University. The study used the descriptive approach and relied on the interview in collecting data. The study' sample was intentionally from the faculty members of the College of Education at Imam Mohammad bin Saud University. The study' sample consisted of (two female members) in the Departments of Administration and Educational Planning, and the Foundation of Education. The study produced findings, most notably: the importance of the open book test in developing higher order thinking skills and critical and innovative thinking among female students, female students' fear of the open book test due to the inadequacy of the test requirements with the time available for it, the reluctance of some members to take open book tests due to the difficulty of planning, implementing and correcting it, their fear of female students' complaints, and their lack of confidence in the results of the test, the effectiveness of employing open book tests in evaluating female graduate students for their suitability for the advanced educational stage, the need for training in the application of open book tests in order to realize its importance and the effectiveness of its impact on female students, the importance of employing educational techniques in preparing the female students to apply the open book tests, the importance of the faculty member providing immediate feedback to the female students that supports their self-evaluation of their skills in the open book test, raising the quality of teaching the course through the evaluation of the female students at the end of each semester.
An exploration of the national document design of Korean career education in elementary schools: A case on career education curriculum of British Columbia

The purpose of this study is to explore a new direction of re-designing national documents of Korean elementary schools’ career education ahead of the 2022 revised national curriculum. Particularly, in the limited domestic contexts of academic and policy research climate dealing with the document systems of overseas career education in relation to primary and secondary career education, this study is concerned with the national document design of career education in Korean elementary schools. In order to attain the goal, this study attempts to analyze the documents of career education curriculum of elementary schools in British Columbia from three different aspects: characteristics, goals, and content structures of the career education. Based on the results, this study meticulously discussed how the national documents of Korean career education in elementary schools should be re-designed through pointing out five major issues; the necessity of articulating the core characteristics of the primary schools’ career education with grade-specific aspects, the necessity of writing core ideas with elaborative explanations in the goal of the career education, the necessity of systematic contents’ structure based on the grades, and the necessity of the elaborative design structure of competence-based career education.
School-based Training for Novice Teachers in Vocational Colleges

With the development of the new era, Chinese society needs more high-quality workers, and puts forward new requirements for the high-quality development of vocational education. In order to ensure the sound development of vocational education, the key is to improve the professional level of teachers in Vocational Colleges through school-based training, especially school-based training for novice teachers from the aspects of teachers' morality, theoretical teaching, practical teaching and so on.
Research on digital etiquette in business communications

The formation of a new social order also presupposes the formation of a new social culture — digital culture as a semantic and regulatory component of a network society. But so far there are no clearly formulated requirements for human behavior in the virtual space.In this connection, ambiguous situations arise between employers and subordinates. The study of the attitude to the norms of etiquette, which determines the value attitudes and standards for participants in network communications at all levels of interaction. The purpose of the work is to investigate the formation of ideas about the norms of business etiquette in a virtual environment in the process of business communications. The research was carried out by the method of a questionnaire survey on the territory of Kostroma, Perm and St. Petersburg. The study involved employees of companies representing various sectors of the economy and students of various fields of study studying the disciplines "Business etiquette" and "Business communications". The following was established: in general, everyone observes etiquette, including in the digital environment; many have a feeling of lack of confidence in the knowledge of the norms of digital etiquette; active use of social networks for business communications; company management should not monitor the behavior of their employees in the digital environment. The results of the study make it possible to understand the peculiarities of observance of etiquette in a digital environment, identify problems that arise during business communications in a virtual environment, and can also serve to develop psychological recommendations for the formation of effective methods.
Iterative Shaping of Error Patterns For Normal Syndrome Decoding of Iterative Codes

The problem of two-dimensional syndrome-norm decoding of iterative codes based on a library of error patterns is considered. In two-dimensional coding, sequence code is first transformed into a code matrix, and then the row and column check code are calculated. In the decoder, the error position of the twodimensional can be obtained by the operations that first calculate the syndromes and norms, then match with the error patterns in the existing library. The error pattern library is stored in the memory and generated by the subset of the error pattern. Subset patterns are generated from the base pattern using row and column permutations. The norm calculated based on the syndrome unambiguously determines the base pattern and the corresponding subset of error patterns, which reduces the search space for the syndrome to a subset. In this case, the syndrome is used as an address for retrieving a specific error pattern and correction rule from the memory. With the error rate increased, the size of the error pattern library is raised and the computational complexity of its formation is enlarged. As a result, the known methods for generating the error pattern library become non sufficient. This paper proposed a mathematical model, a generator structure, and an algorithm for fast generation of an error pattern library based on the iterative expansion of the error patterns, which makes it possible to reduce the number of generated redundant error patterns by orders of magnitude and significantly shorten the computational complexity in comparison with the known approaches.
Akses Informasi Pemustaka Tunanetra Pada Layanan Braille Corner Di Dinas Kearsipan Dan Perpustakaan Kota Jambi

Introduction. This research is entitled Information Seeker Behavior of Blind Users in Braille Corner Services at the Jambi City Archives and Libraries Service, the purpose of this study is to determine the behavior of the blind in seeking information at the Jambi City Archives and Library Service. Information seeking behavior arises because of the need for information, so the higher the need for information, the higher the number of activities seeking information. Information behavior by users has its own pattern. Because each user will find the information they need differently, therefore the need for information is very important. From this difference, the writer is interested in studying "The Behavior of Information Seekers for the Braille Corner Service for Blind Users at the Jambi City Archives and Library Service".&#x0D; Data Collection Method. This study uses a qualitative descriptive method in the form of case study research. Informants in researching 3 people, informants were selected based on purposive sampling. Data collection techniques in this study were observation, in-depth interviews and documentation, the subjects in this study were blind users who visited the Braille Corner service. &#x0D; Data Analysis. Data analysis techniques in this study used data reduction, data presentation and drawing conclusions. &#x0D; Result and Discusions. The results obtained from the search for information on Braille Corner services for blind users at the Jambi City Archives and Library Service are strongly influenced by Braille Corner service officers. The type of information that is often accessed by blind users at the Jambi City Archives and Library Service is the printed collection of Braille. Information obtained by blind users is used for their respective interests and is used for different purposes.
Development of Android-based Interactive Multimedia to Enhance Critical Thinking Skills in Learning Matters

The advancement in science and technology in the 21st Century necessitates improving critical thinking skills in students. Implementing digital technology such as interactive multimedia in the learning process can encourage quality learning and teaching. This study aims to create Android-based interactive multimedia that will help students improve their critical thinking skills in learning matters. This research aims to develop android-based interactive multimedia to enhance critical thinking skills in learning matters. This research employed a developmental method that included analysis, design, development, implementation, and one group pretest-posttest to assess students' critical thinking skills. The participants were 30 students from Private Junior High schools in Bandung Barat. The instruments used were the expert's judgment rubric, students' questionnaire, and objective test. With an overall score of 88.25%, the experts' judgment score was classified as very good. Moreover, the average score of students' impressions was 84.56%, classified as very good. Based on the data analysis, the value of g is 0.52, which is classified as a medium enhancement. This finding indicates that students' critical thinking skills improve after applying Android-based interactive multimedia.
Types of Career Guidance Work and Prospects for Its Development in a Non-linguistic University

This article is devoted to the peculiarities of career guidance work carried out by a pedagogical university.The article defines the concept of career guidance work and summarises the experience of its implementation at the Faculty of History and Philology of the Arzamas branch of the NNSU.The authors describe the system of career guidance work developed and tested by them at the university, consider the most optimal forms and methods of its implementation, identify the types of career guidance activities following their goals, objectives and content.The proposed model makes it possible to attract students to the university, improve the quality of pre-university training, and form a stable motivation for professional activity among future students.The article concludes with the effectiveness of this model, which is determined by its systematic, complex nature, a variety of methods, the introduction of new forms and the use of modern digital technologies.
Penggunaan Sistem Klasifikasi di Perpustakaan Daerah provinsi Lampung Sebagai Bentuk Peningkatan Pengelolaan Perpustakaan

&#x0D; Introduction. The material discussed in this journal is to explain and describe in detail the use of the classification system at the Regional Library of Lampung Province, what system is used, how it is used. &#x0D; Data Collection Methods. The method used in this journal research is interview research and documentation study. The author also uses qualitative methods and literature studies.&#x0D; Data Analysis. Analysis of the data using data reduction, data presentation, and make conclusions about the Regional Library of Lampung Province.&#x0D; Results and Discussion. The results of this study are that the Lampung Provincial Library Service uses 2 classification systems, namely a manual system and also a digital system with the E-DDC application. The librarian at the Lampung Provincial Library Service uses E-DDC edition 23, although using two classification systems, the librarian at the Lampung Provincial Library Service still uses a manual system more often because if you use a digital system with the E-DDC application the librarian sometimes has problems when use it, however, the use of the E-DDC application is still being used today.&#x0D; Conclusion. The use of the classification system in the Regional Library of Lampung Province uses two classification systems, namely the manual system and the E-DDC (Electronic-Dewey Decimal Classification) application. The manual system is still often used by librarians of the Lampung Province Regional Library, even so the E-DDC application is still used but rarely because sometimes it gets obstacles when you want to use it.
Finite Sample Properties of Parameterized Expectations Algorithm Solutions; Is the Length So Determinant?

The solution of the Parameterized Expectations Algorithm (PEA) is well defined based on asymptotic properties.In practice, it depends on the specific replication of the exogenous shock(s) used for the resolution process.Typically, this problem is reduced when a sufficiently long replication is considered.In this paper, we suggest an alternative approach which consists of using several, shorter replications.A centrality measure (the median) is used then to discriminate among the different solutions using two different criteria, which differ in the information used.On the one hand, the distance to the vector composed by median values of PEA coefficients is minimized.On the other hand, distances to the median impulse response is minimized.Finally, we explore the impact of considering alternative approaches in an empirical illustration.
Multi-Stage Gaussian Noise Reduction with Recurrent Neural Networks

In this paper, we implement multi-stage deep learning methods to recover signals from noisy observations. We seek an alternative to the traditional iterative optimization-based methods by exploiting the denoising properties of autoencoders. The novelty of our method is in the reformulation of the denoising problem as a multi-stage process and in the use of recurrent neural networks to gradually recover the intended signal. Numerical experiments on a modified version of the CIFAR-10 dataset show that signal recovery in multiple stages produces sharper images than a standard autoencoder approach. We present quantitative evidence of improvement using both the mean squared error and the structural similarity index.
HSV Values and OpenCV for Object Tracking

This research shows how colour and motion may be utilised to speed up the surveillance of things. Video tracing is a technique for detecting a huge vehicle over a long distance using a camera. The main goal of video tracking is to link objects in subsequent video frames. When objects move faster than the frames per second, maintaining connection might be difficult. Using Hue saturation space values and OpenCV in separate video frames, this article shows how to follow moving objects in real-time. We begin by finding the HSV value of the object to be tested, and then we understand the steps along. The tracking of the items was shown to be 90 percent accurate.
The Correlation Between Mastery of Vocabulary and Reading Comprehension Students

This research deals with the student’s mastery of vocabulary and reading comprehension. It is aimed at finding out whether there is a high correlation between the mastery of vocabulary and reading comprehension. In this research the population was taken students of SMP Swasta Tenera PTPN IV Kab. Langkat. The total number of the samples was 20 students. After the data had been collected, the writer analyzed the data by using the formula of Pearson Product Moment. After calculating the correlation of mastery vocabulary and reading comprehension test, it was obtained that the correlation coefficient was 0,57. It means that there is a high correlation between mastery of vocabulary and reading comprehension. It implies that the higher the student’s mastery on vocabulary, the better they can comprehend the reading texts.
NoonGil Lens+: Second Level Face Recognition from Detected Objects to Decrease Computation and Performance Trade-off

Artificial intelligence has developed in various fields. The development became more significant after Neural Networks(NN) began to gain popularity. Convolutional Neural Networks(CNNs) are good at solving problems such as classification and object detection. However, the CNNs model tends to function to solve a specific problem. In the case of both object detection and face recognition it is difficult to make a single model that works well. NoonGil Lens+ is expected to be an approach that can solve both problems at once. As well as being a solution, it is also hoped that this approach can reduce the trade-off of accuracy and execution speed. The approach we propose can be called as Noongil Lens+, a system that connects YOLOv3 and FaceNet. It is inspired from a korean series called ‘STARTUP’. The author only develops the FaceNet model and the proposed system in this paper (NoonGil Lens+). Region Selection, a machine learning-based greedy approach was proposed to determine snapshots to fed into FaceNet for facial identity classification. FaceNet is trained on the CelebA dataset which has gone through the preprocessing process and is validated using the LFW dataset. NoonGil Lens+ was validated using 70 images of 7 celebrities, characters, and athletes. In general, the research was carried out successfully. NoonGil Lens+ using Region Selection has an accuracy of up to 75.2%. The Region Selection execution speed is also faster compared to Cascade Faces.
Implementation Of Backtracking Algorithm In Elena Puzzle Game Setup

Elena Puzzle is a puzzle game that appears on an anime called Phi Brain in episode 10, Elena puzzle game is a puzzle game where players have to put the 18 pieces of pawns on the game board size 6x6. Pawns are placed consists of the three different colors red, blue and yellow. Pawns put on in the game area must be in accordance with the instructions on the edge of the arena. The instructions are on the sidelines of arena explain that the first color that was encountered in the edge of the arena is a color that corresponds to these instructions. In each row and column in the game of arena can not have two same colors and in each row and column must have three different colors. The purpose of this research is to build an artificial intelligence agent that can solve the puzzle. The methodology used is the backtrack algorithm, that is an algorithm based on Depth-First Search, so the search for solutions is done by tracing the rooted tree-shaped structure in preorder. This process is characterized by the expansion of the deepest node until no longer found the successor of a node. The results will be obtained from existing applications is backtracking algorithm implementation in building artificial intelligence agencies in order to complete the puzzle in accordance with the instructions provided.
Principal Component Analysis of Distributional Data

We compare two extensions of principal component analysis to distributional variables and we introduce a generalization strategy when the knowledge experts want to perform histogram PCA on several distributional datasets. Actually, most of proposed approaches only consider the situation where users have one dataset and from a technical standpoint, the proposed solutions are based on either the first order moments or the quantiles. In that, we present two Histogram PCAs respectively based on the barycenters of distributions and on the average correlation matrix induced by the quantiles of distributions. We review the benefits and the flaws of using the barycenters versus the quantiles and we present a generalization framework when there are more than one histogram dataset. The methods we described are applicable in many domains like people analytics, risk and control management, internal audit, anti money laundering, healthcare analytics, sports analytics, etc.
Classification of Tourism-Related Topics in Phuket: A Case Study

The tourism industry has continued to play an important role in the Thai economy. It is an industry that brings foreign currency to spend in the country's economy, causing employment, driving the country's economy. But with the advent of the digital era, travelers' behavior has changed by using digital technology as a tool to find information about attractions, places to stay, and traveler preferences. So, if those who operate tourism businesses and government agencies that govern tourism-related policies can understand what social media is talking about. It will be very useful in clarifying, understanding, developing, improving, as well as looking for opportunities for the tourism business in the future, but social media data is large unstructured data and difficult to manipulate by humans. Therefore, our idea was to study the classification of tourism opinion topics using the Latent Dirichlet Allocation (LDA) technique and to develop a digital platform for displaying the classification and trends of tourism opinion topics. Phuket is suitable as a case study because Phuket is one of the country's top tourism income earners, thus being regarded as an important area in Thailand's tourism industry. The aim of this study is to develop a digital platform, which will enable stakeholders to understand the underlying issues and interests of the online community and show trends in opinion issues from the past to the present that can be used to develop, improve, and seek new opportunities in tourism. It can be a resource for other researchers to use in further research.
Binary classification with corrupted labels

In a binary classification problem where the goal is to fit an accurate predictor, the presence of corrupted labels in the training data set may create an additional challenge. However, in settings where likelihood maximization is poorly behaved—for example, if positive and negative labels are perfectly separable—then a small fraction of corrupted labels can improve performance by ensuring robustness. In this work, we establish that in such settings, corruption acts as a form of regularization, and we compute precise upper bounds on estimation error in the presence of corruptions. Our results suggest that the presence of corrupted data points is beneficial only up to a small fraction of the total sample, scaling with the square root of the sample size.