Reviewerly/exHarmony huggingface dataset:
Virtual Aesthetic on Dreadeye VR Game

Indonesia is very rich in myths that exist in society, the wealth of myths found in the archipelago is illustrated by the many community stories that are still found today. One example is the myth about Indonesian ghosts and their various frightening forms. Fear arises from human ignorance of something and develops into a wild fantasy in humans, until finally it can be accepted by human logic. This can be seen from the many kinds of entertainment media that take the theme of horror, one of the media currently used is video games. One of the games from Indonesia that has developed this virtual aesthetic using 3D visualization technology is the game studio Digital Happiness from Bandung, with the game title Dreadeye VR. This game is a Virtual reality game where to play it requires a VR device. With the concept of Virtual reality, this game provides deeper interactivity for users to explore real spaces in the virtual world. Virtual reality brings a new experience for users to continue to enjoy objects in the game, even if they do not make direct contact. This can lead to being carried away to bring new meaning to each individual. So, the problem of this research is, how the Dreadeye VR game presents virtual aesthetics for the players and the purpose of this research is to find out the factors of the formation of virtual aesthetics in the Dreadeye VR game. The methodology of this research is qualitative, while the approach and theory used is MDA (Mechanic, Dynamic, Aesthetic), the MDA approach describes each interrelated component such as mechanics, dynamics, and aesthetics. Mechanics explain programming and game rules, dynamics describe interactive games and playing experiences, aesthetics describe the sensations felt when interacting with games.
PowerPoint slideshow navigation control with hand gestures using Hidden Markov Model method

Gesture is the easiest and most expressive way of communication between humans and computers, especially gestures that focus on hand and facial movements. Users can use simple gestures to communicate their ideas with a computer without interacting physically. One form of communication between users and machines is in the teaching and learning process in college. One of them is the way the speakers deliver material in the classroom. Most speakers nowadays make use of projectors that project PowerPoint slides from a connected laptop. In running the presentation, the speaker needs to move a slide from one slide to the next or to the previous slide. Therefore, a hand gesture recognition system is needed so it can implement the above interactions. In this study, a PowerPoint navigation control system was built. Digital imaging techniques use a combination of methods. The YCbCr threshold method is used to detect skin color. Furthermore, the morphological method is used to refine the detection results. Then the background subtraction method is used to detect moving objects. The classification method uses the Hidden Markov Model (HMM). With 526 hand images, the result shows that the accuracy of the confusion matrix is 74.5% and the sensitivity is 76.47%. From the accuracy and sensitivity values, it can be concluded that the Hidden Markov Model method can detect gestures quite well as a PowerPoint slide navigation control.
Pengembangan Media Pembelajaran Electronic Book (E-Book) Pada Mata Pelajaran Praktikum Akuntansi Perusahaan Dagang

The rapid development of learning resources following the times to support and support learning in schools, sometimes there are still many school there are not able to provide adequate and complete learning resources. Emergence of an innovative solution to overcome to problem to the SMK. Therefore, the developer tries to develop learning media with e-book teaching materials. This research was conducted with the aim of e-book product. With the selection of recording material and summarizinf the accounting practicum of trading companies. This study uses a 4D research model, but only up to the development stage. The result of the expert validation assessmenton the e-book obtained the “Very Eligible” criteria.
An investigation into the Challenges experienced by Foundation Phase teachers in the implementation of the National Reading Strategy: A case of five primary schools, Limpopo Province, South Africa

The teaching of reading appears to be a global concern, especially in South Africa. Various reading programmes have been implemented as attempts to address the above challenge. The National Reading Strategy is one of those programmes that have been implemented in the Foundation Phase. The problem of learners not able to read still exists, despite the implementation of the above strategy. Approximately 50% of the learners experiences reading difficulty when they transit from the Foundation Phase to the Intermediate phase. This may be attributed to various factors of which this study see to address.. The purpose of this study was to investigate the challenges experienced by Foundation Phase teachers in the implementation of the National Reading Strategy in the primary schools of Dikgale area, Limpopo Province, South Africa. The study followed a qualitative research approach where a cross-sectional design was adopted. Ten (10) teachers from five mainstream primary schools were requested to take part in the study. Data was collected through interviews, observations and document analysis. Data was analysed with a thematic content analysis, which involved identifying common themes that emerge from the data collected. The preliminary findings were as follows: (a) Lack of teacher training in the form of workshops on National Reading Strategy (b) The problem encountered in the interpretation of the National Reading Guidelines(c) The attitude towards the implementation of the National Reading Strategy. The study recommends that fully developed workshops be implemented
Use of Worksheet events in Excel to save solver objective cell value from each iteration

Solver is a Microsoft Excel add-in program which is used to find an optimal value for a formula in the objective cell. Solver accomplishes this either by maximizing, minimizing or setting the objective cell value to a specific value. The article presents the utility of in built worksheet events in Excel VBA to save the value of objective cell from each iteration when solver is used for optimization.
Amazigh part-of-speech tagging with machine learning and deep learning

Natural language processing (NLP) is a part of artificial intelligence that dissects, comprehends, and changes common dialects with computers in composed and spoken settings. At that point in scripts. Grammatical features part-of-speech (POS) allow marking the word as per its statement. We find in the literature that POS is used in a few dialects, in particular: French and English. This paper investigates the attention-based long short-term memory (LSTM) networks and simple recurrent neural network (RNN) in Tifinagh POS tagging when it is compared to conditional random fields (CRF) and decision tree. The attractiveness of LSTM networks is their strength in modeling long-distance dependencies. The experiment results show that LSTM networks perform better than RNN, CRF and decision tree that has a near performance.
A Heuristic Feature Selection in Logistic Regression Modeling with Newton Raphson and Gradient Descent Algorithm

Binary choices, such as success or failure, acceptance or rejection, high or low, heavy or light, and so on, can always be used to express decision-making.Based on the known predictor feature values, a classification model can be used to predict an unknown categorical value.The logistic regression model is a commonly used classification approach in a variety of scientific domains.The goal of this research is to create a logistic regression model with a heuristic approach for selecting input characteristics and to compare the Newton Raphson and gradient descent (GD) algorithms for estimating parameters.Among predictor traits, there were four that met the criterion for being both dependent on the target and independent of one another.Also, optional features In Malang, Indonesia, researchers used the Chi-square test to find four significant characteristics that increase the incidence of pregnant women developing preeclampsia: age (X1), parity (X2), history of hypertension (X3) and salty food consumption (X6).In the above work author proposed, the logistic regression model developed using the gradient descent approach had a lower risk of error than the logistic regression model generated using the Newton Raphson algorithm.The model with the gradient descent approach has a precision of 98.54 percent and an F1 score of 97.64 percent, while the model with the Newton Raphson algorithm has a precision of 86.34 percent and an F1 score of 72.55 percent.
Color image distortion assessment based on synthetic ground truth recovery

Color distortion is one of the serious problem that can appear in color image.Despite various image quality evaluation methods have been studied over the past decades, the color distortion-related assessment method is available only in situations where the ground truth is essential.Here, this paper proposes a comprehensive quantitative method for measuring color distortion that may occur in color image.Our method can objectively evaluate a practical color distortion (which may occurred in natural scenes) that cannot be evaluated by previous methods.To achieve this, we first designed a test chart.The image taken with this chart can reproduce two types of color distortion, false color and decolorization.Our proposed evaluation algorithm can assess the level of color distortion quantitatively.It is confirmed that our experimental results were well matched with human subjective evaluation results.
Making Most of Eldiru as Learning Media in The Pandemic Era

Pandemic condition drastically changes the world system.All universities close their face-to-face learning process.They change their learning activity into an online one.Learning management system (LMS) is developed in most universities to deal with the condition.Universitas Jenderal Soedirman as one of universities in Indonesia also develops its LMS to facilitate the learning process, called eLDirU (e-Learning Jenderal Soedirman University).eLDirU is an online learning platform functioned as a digital literacy learning innovation for native digital generation.It has many features that, indeed, can make the learning process easier.It has quite complete menus, such as assignment for comprehending the material, attendance for checking students' attendance, BigBlueButton for video conferencing, forum for chatting and having questionand-answer section for lecturers and students, Google Meet for Moodle for ease access in synchronous class, URL for linking more medias in helping students learn more, quiz for recording students' mastery about the topic in form of test, and others.It is also handy because both students and lecturers can download it in their smartphones and reach their learning classes wherever they are.eLDirU can be applied both for synchronous and asynchronous classes.It also make lecturers feel easy in handling many classes.
Parametric Validation of the Reservoir Computing–Based Machine Learning Algorithm Applied to Lorenz System Reconstructed Dynamics

A detailed parametric analysis is presented, where the recent method based on the reservoir computing paradigm, including its statistical robustness, is studied. It is observed that the prediction capabilities of the reservoir computing approach strongly depend on the random initialization of both the input and the reservoir layers. Special emphasis is put on finding the region in the hyperparameter space where the ensemble-averaged training and generalization errors together with their variance are minimized. The statistical analysis presented here is based on the projection on proper elements method.
ENRICHING STUDENTS’ VOCABULARY BY USING CHARADE GAME AT PRE-INTERMEDIATE LEVEL

The study aims to improve English speaking skills with vocabulary mastery through charade game techniques. This research uses library research methods. The biggest problem of today's students lies in mastery of the vocabulary itself. Therefore, teaching staff are required to be able to continue to create ways or techniques of learning in the classroom that can lead students to master english vocabulary more. This game indirectly helps to improve the vocabulary of students. In this game words will be demonstrated with gestures so that students are able to express words with movement. This technique also helps students to be more active in the classroom and motivates students due to the presence of competence in the game. Charade games also help students understand reading texts because vocabulary is difficult to understand first.
An index of student learning enthusiasm based on digital learning empowerment during the Covid-19 in Gondangmanis Village

During the Covid-19 period, digital learning is the last option, and it is causing concern among parents about the possibility of student learning returning to normal. According to the findings of the community survey, parents faced numerous challenges, as evidenced by students' decreased enthusiasm for learning. Based on the existing issues, community service activities in the Gondangmanis village are required, as well as intensive assistance in developing student interest through online learning empowerment. According to the results of the student ability assessment, 90% of the students are in the "very good" category. The average index value of 182.9 for Kandangan hamlet and 153.3 for Manisrenggo hamlet indicates that students in Gondangmanis village are more interested in online learning. This means that during the pandemic, community empowerment activities based on the use of digital learning can increase student learning enthusiasm.
The effect of gesture on the perception of linearity in instrumental music

Given that music performances are made up of gestures, we might ask how the movements of an individual can alter how one perceives music.To address this question, this paper examines a hypothesis concerning the gestural priming of melodic events, and the role of this priming on the perceived continuation of the melody.When primed with a linear gesture, we hypothesize that participants will be more likely to select the continuation of a melodic idea, that is to say the melody keeps moving in the same direction.Conversely, when primed with circular gestures, participants will be more likely to select musical ideas that reverse and return to the starting pitch.Our results show that there was no significant effect of gesture, but there was a significant effect of musical scale when diatonic scales were used alongside the gesture.It appears that gestural priming is not a predictor of whether participants selected a musical gesture that continued or returned.These results suggest that familiarity with a musical context is perhaps more predictive of melodic expectation than gesture.
Zeroth-Order Optimization for Composite Problems with Functional Constraints

In many real-world problems, first-order (FO) derivative evaluations are too expensive or even inaccessible. For solving these problems, zeroth-order (ZO) methods that only need function evaluations are often more efficient than FO methods or sometimes the only options. In this paper, we propose a novel zeroth-order inexact augmented Lagrangian method (ZO-iALM) to solve black-box optimization problems, which involve a composite (i.e., smooth+nonsmooth) objective and functional constraints. This appears to be the first work that develops an iALM-based ZO method for functional constrained optimization and meanwhile achieves query complexity results matching the best-known FO complexity results up to a factor of variable dimension. With an extensive experimental study, we show the effectiveness of our method. The applications of our method span from classical optimization problems to practical machine learning examples such as resource allocation in sensor networks and adversarial example generation.
Solar irradiance modelling-lower tropospheric profile

Solar radiation can be used as an effective tool to determine atmospheric composition and thus indoor / lower tropospheric irradiance modelling can be done.Here is a case study of an area ( Lab3,dept of physics, NTU,NT road, Bangalore, Karnataka, India).This study helped to identify the radicals / ions active in spectral region, 400 to 700 0 A .If hazardous radicals of medical concern are found precautionary measures can be taken by intimating residents of this area to take caution.
The Use Of Youtube (Ut Tv) as Knowledge, Learning and Information Resources during Covid-19 Pandemic

The distance learning systems required a variety of ways and media to explore knowledge for students everywhere and anywhere, but the challenges of the education world in hand with the needs of internet resources are quite large.This is initiated by the experience in using technology.The internet itself open up many possibilities for integrating technology into classroom learning.YouTube is one of a paltform that can be integrated in learning courses that are considered difficult by most students.The purpose of this study is to see the optimization of YouTube used (UT TV) and Online learning tutorials as learning media for Open University students specifically during covid-19 pandemic, this article describes more about the effectiveness of using YouTube as Open Educational Resource.The Data collection techniques are conducted through documentation from the learning process that has been done by using YouTube.The collected data is analyzed by using descriptive analysis with a percentage count.The results showed that the videos on YouTube can be used as one of the learning media and reference learning resources for students specifically during covid-19 pandemic.
THE INFLUENCE OF USING CHORAL READING TECHNIQUE TO THE ELEVENTH GRADE STUDENTS’ READING MASTERY AT SMA NEGERI 1KASIMBAR

This paper focuses on the using of choral reading technique to the eleventh grade students’ reading mastery at SMA Negeri 1 Kasimbar. The writer applied quasi experimental research design and need pre-test and post-test to both experimental and control class. The pre-test was to know the level of students’ reading mastery ability before giving treatment while the post-test was used to know the result after giving treatment. There was a significant difference score of the post-test of the experimental class (1.495) and the control class (1.235). The level of significance was set up 0,05 with 40 degree of freedom ( (df) = Nx + Ny = 21 + 21 + 40). The result of data analysis indicates that tcounted (3,729) which was higher than ttable, it means that the hypothesis of the research was accepted. Thus, there was significant influence of using choral reading technique to the eleventh grade students at SMA Negeri 1 Kasimbar.
Exploring Learning Analytics for the Course Design Improvement: The Results of a Pilot Experiment

One of the most crucial challenges in e-learning is the course's quality and learning analytics to ensure it is one of the prominent avenues to be taken in the field.The paper initially aims to present the literature review findings on the benefits and challenges of learning analytics for higher education.Secondly, it shows the results of the pilot experiment.The experiment methodology comprises two cases.The first case presents course design quality solely based on learning analytics data.The second case describes the course design's quality using the proposed framework based on both data from learning analytics and a survey including specified criteria.Although the pilot experiment is limited to the number of courses included and a small sample, it provided significant insights into the benefits and challenges of learning analytics as a tool for course design improvement and course design quality interpretation.
THE INFLUENCE OF HIGHER ORDER THINKING SKILLS, VOCABULARY MASTERY AND READING MOTIVATION ON READING COMPREHENSION ACHIEVEMENT

This research aims at finding out the influence of Higher Order Thinking Skills (HOTS), vocabulary mastery and reading motivation on reading comprehension achievement among State SMP Students in Magelang Regency. This research was an ex post facto involving three independent variables; students’ HOTS (X1), vocabulary mastery (X2), and reading motivation (X3) and one dependent variable, students’ reading comprehension achievement (Y). The sampling technique was the proportional cluster random sampling. The research instruments were three tests and a questionnaire. The kind of validity of the tests was the content validity by experts’ judgment. The construct validity of the questionnaire was measured by factor analysis. The reliability of the tests was measured by Cronbach’s Alpha with the Alpha of HOTS test is 0.768, vocabulary mastery test’s is 0.757 and the reading comprehension achievement test’s is 0.716. The reliability of the questionnaire was measured by Cronbach’s Alpha with the Alpha is 0.862. The data were analyzed using the multiple regression analysis continued by the partial correlation. The result of the multiple regressions indicates that HOTS, vocabulary mastery and reading motivation influence reading comprehension achievement with the F=236.709 with the significant level below 0.05 which means that the three independent variables influence significantly on reading comprehension achievement. The Adjusted R Square is 0.653 which means that the reading comprehension achievement is 65.3% predicted by the three independent variables. The contribution of HOTS on reading comprehension achievement is 38.7%, vocabulary mastery is 50.3%, and reading motivation is 8.2%.
ON INDEPENDENT SYSTEMS OF DEFINING RELATIONS FOR FREE BURNSIDE GROUPS OF PERIOD 3

We construct systems of independent defining relations for free Burnside groups $B(m,3)$ of ranks $m=2, 3$. The proof for the case $m=2$ is established using the matrix representation of $B(2,3)$. For the case $m=3$ the approach is based on the natural embedding of $B(2,3)$ into $B(3,3)$.
Generation of reference images using filtered radon transform and truncated SVD for structural artifacts

Image quality assessment (IQA) is an effective way to evaluate image/signal processes (ISPs).Here, we present a single value decomposition (SVD)-based IQA method to quantitatively evaluate morphological distortion of chessboard patterns.Incorrect ISP tuning parameters can create suboptimal images with artifacts on the edges of small text or high-frequency patterns.We reproduced those artifacts by using a small chessboard pattern and quantitatively evaluated the morphological distortion in the pattern.Then, we verified our method through qualitative evaluation survey and Pearson correlation.As a result, the score of the proposed method was in good agreement with the qualitative evaluation result and had a Pearson correlation coefficient (PCC) of 0.97.