Reviewerly/exHarmony huggingface dataset:
Sketch-to-Face Image Translation and enhancement using a Multi-GAN approach

Abstract: Image to Image Translation using GANs has been introduced for a few years now, and newer methodologies keep originating daily. Our method combined two approaches to generate accurate and more precise results. First, we use inpainting in the Contextual GANs model followed by Generative Facial Prior GAN (GFP GAN) for image enhancement to give realistic results of a face for the sketch input.
Development of Remote Schooling Helper Application

This paper attempts to solve the issue of teachers' inability to monitor students' attention effectively in the virtual classroom setting which was changed by COVID-19.To solve this issue, this research designs and implements software that can monitor students' postures by using gyroscope sensors and detect students' presence in the class by using webcams.The gyroscope sensor and the webcam send sampled data to the web server where the attention is categorized (as "Out of class," "Present," "Concentrating," "Participating") using the algorithm based on the inclination of the upper body and the location and size of the face detected on the camera.The categorized conjectured attention is shown on the teacher's monitor via a website.After the design and the implementation, this paper runs a mock virtual class with the use of the developed application to verify its effectiveness of the developed application.The results show that an application like this can be used to track students' conjectured attention in a virtual classroom setting and assist teachers in the virtual setting.
Clustering of Librarians' Initial Knowledge on the Theme of Training

Background of study: The implementation of librarian competency development through training in Sidenreng Rappang Regency, South Sulawesi Province, was carried out by dividing librarians based on the location of their agency's work area. In practice, there are training barriers, namely differences in absorption of the material due to limited training time and differences in initial knowledge of the training material. Purpose: According to the librarian's prior knowledge of the training to be held in future, this study attempts to determine the best grouping and number of participants. Method: The methodology used in this research is Cross Industry Standard Process for Data Mining (CRISP-DM) which consists of 6 stages. The data collection technique used a questionnaire with a linear numerical scale from a score of 0 to 10 to 97 librarians in Sidenreng Rappang Regency. Data were analyzed using the K-Means algorithm to determine the number of groups and the number of librarians in each group and evaluated using the Davies-Bouldin index (DBI) algorithm to determine the most optimal group division. Findings: According to this study, the best number of groups for training in the processing of library materials is two under a DBI value of 0.68983. With a DBI value of 0.69431, the best number of groups is two in the library promotion training. Conclusion: the library service training had the best number of groups of 2 with a DBI value of 0.65698. Meanwhile, for INLISLite-based automation training, the best number of groups is two groups with a DBI value of 0.65500.
PELATIHAN PEMANFAATAN NEARPOD SEBAGAI INOVASI PEMBELAJARAN DI SEKOLAH MI MUHAMMADIYAH PONOROGO

Nearpod is a web-based media that can be accessed by anyone including teachers and students using a pre-owned gmail account. The presence of this nearpod provides a new color, especially for teachers in developing ideas and at the same time as learning innovations, especially mathematics. Science and technology for the community (IbM) by utilizing the nearpod is one of the community service activities (PkM), especially for MI Muhammadiyah teachers in Ponorogo as a new breakthrough to complete and provide convenience for teachers in providing material information and students easily accessing that information. This “nearpod” web media began to boom in 2020 until now, which adapts online learning activities (on the network). It is hoped that this activity will provide new information for teachers that the nearpod can be used as an innovation in mathematics learning in particular. Nearpod can support mathematical material that can be well designed, so that students will easily understand math material. In addition, with this new normal condition, of course there are still some things that are related to media that can be accessed by students at any time. From this activity, the teacher has been able to create and design learning materials with nearpods for mathematics materials.
EVALUASI KUALITAS PATHFINDER SEBAGAI ALAT TEMU BALIK INFORMASI DI PERPUSTAKAAN UIN SUNAN KALIJAGA

Pathfinder is a kind or reference source in process or re-meeting behind the information at the library. The aim of studied is evaluation for pathfinder with eight dimensions of service satisfaction evaluation, there are performance, features, reliability, confermance to specification, easthetic, and percieved quality at Library of Sunan Kalijaga Islamic University by Voice Of Customer in House Of Quality of Quality Function Deployment method. Result this studied is the satisfaction assessment of user about technical characteristics (Hows) is information content in the pathfinder and repair for collection synopsis quality for the convenience of the user. An indicator of declared dissatisfied, it is on product durability of the user need (Whats). The researcher suggest is, digitalization pathfinder at the toolbar digital cillection of www.lib.uin-suka.ac.id.
Integrated Quantum Optical Phase Sensor

Abstract The quantum noise of light fundamentally limits optical phase sensors. A semiclassical picture attributes this noise to the random arrival time of photons from a coherent light source such as a laser. An engineered source of squeezed states suppresses this noise and allows sensitivity beyond the standard quantum limit (SQL) for phase detection. Advanced gravitational wave detectors like LIGO have already incorporated such sources, and nascent efforts in realizing quantum biological measurements have provided glimpses into new capabilities emerging in quantum measurement. We need ways to engineer and use quantum light within deployable quantum sensors that operate outside the confines of a lab environment. Here we present a photonic integrated circuit fabricated in thin-film lithium niobate that provides a path to meet these requirements. We use the second-order nonlinearity to produce a squeezed state at the same frequency as the pump light and realize circuit control and sensing with electro-optics. Using a 26.2 milliwatts of optical power, we measure (2.7 ± 0.2 )% squeezing and apply it to increase the signal-to-noise ratio of phase measurement. We anticipate that on-chip photonic systems like this, which operate with low power and integrate all of the needed functionality on a single die, will open new opportunities for quantum optical sensing.
Comparison of GLCM and First Order Feature Extraction Methods for Classification of Mammogram Images

Breast cancer is one of the main causes of death in women and ranks first in cancer cases in Indonesia. Therefore, an early detection and prevention of breast cancer is necessary, one of which is through mammography procedures. A machine learning classifier such as Support Vector Machines (SVM) could be used as an aid to the doctors and radiologist in diagnosing breast cancer from the mammogram images. The aim of this paper is to compare two feature extraction methods used in SVM, namely the Gray Level Co-Occurrence Matrix (GLCM) and first order with two kernels for each method, namely Gaussian and Polynomial. Classification using SVM method is carried out by testing several parameters such as the value of C, gamma, degree and varying the pixel spacing values ​​in GLCM, which usually in previous studies only used the default pixel spacing. The dataset consists of 500 mammogram images containing 250 benign and malignant images, respectively. This study is expected to find out the best method with the highest accuracy between these two texture feature extractions and and able to distinguish between benign and malignant classes correctly. The result achieved that Gray Level Co-Occurrence Matrix (GLCM) feature extraction method with both Gaussian and Polynomial kernel yields the best performance with an accuracy of 89%.
A Novel Method of Computing Quadratic Weil Sum

Abstract Let χ be an additive character of F q and let L ( x ) be a linearized polynomial over F q n . In this paper, we consider the Weil sums of quadratic functions, namely, <?CDATA $\displaystyle \sum {}_{x\in {F}_{{q}^{n}}}\chi (T\mathrm{r(}\chi L(\chi ))$?> <mml:math xmlns:mml="http://www.w3.org/1998/Math/MathML" overflow="scroll"> <mml:mrow> <mml:mstyle displaystyle="true"> <mml:mo>∑</mml:mo> <mml:mrow> <mml:msub> <mml:mrow /> <mml:mrow> <mml:mi>x</mml:mi> <mml:mo>∈</mml:mo> <mml:msub> <mml:mi>F</mml:mi> <mml:mrow> <mml:msup> <mml:mi>q</mml:mi> <mml:mi>n</mml:mi> </mml:msup> </mml:mrow> </mml:msub> </mml:mrow> </mml:msub> <mml:mi>χ</mml:mi> <mml:mo stretchy="false">(</mml:mo> <mml:mi>T</mml:mi> <mml:mi>r(</mml:mi> <mml:mi>χ</mml:mi> <mml:mi>L</mml:mi> <mml:mo stretchy="false">(</mml:mo> <mml:mi>χ</mml:mi> <mml:mo stretchy="false">)</mml:mo> <mml:mo stretchy="false">)</mml:mo> </mml:mrow> </mml:mstyle> </mml:mrow> </mml:math> . Quadratic Weil sum is a critical topic in number theory and has applications in sequence design, coding, and cryptography. The computation of a quadratic Weil sum is complicated and sometimes impractical. This paper introduces a novel and generic way of computing quadratic Weil sums, which allows us to deal with the computation more efficiently compared with previous methods. As a result, we give a formula for computing <?CDATA ${{\sum }^{\text{}}}_{x\in {P}_{{q}^{n}}}\chi (Tr({{\sum }^{\text{}}}_{i,j\le n}{a}_{ij}{\chi }^{{q}^{i}+{q}^{j}}))$?> <mml:math xmlns:mml="http://www.w3.org/1998/Math/MathML" overflow="scroll"> <mml:mrow> <mml:msub> <mml:mrow> <mml:msup> <mml:mo>∑</mml:mo> <mml:mtext>​</mml:mtext> </mml:msup> </mml:mrow> <mml:mrow> <mml:mi>x</mml:mi> <mml:mo>∈</mml:mo> <mml:msub> <mml:mi>P</mml:mi> <mml:mrow> <mml:msup> <mml:mi>q</mml:mi> <mml:mi>n</mml:mi> </mml:msup> </mml:mrow> </mml:msub> </mml:mrow> </mml:msub> <mml:mi>χ</mml:mi> <mml:mo stretchy="false">(</mml:mo> <mml:mi>T</mml:mi> <mml:mi>r</mml:mi> <mml:mo stretchy="false">(</mml:mo> <mml:msub> <mml:mrow> <mml:msup> <mml:mo>∑</mml:mo> <mml:mtext>​</mml:mtext> </mml:msup> </mml:mrow> <mml:mrow> <mml:mi>i</mml:mi> <mml:mo>,</mml:mo> <mml:mi>j</mml:mi> <mml:mo>≤</mml:mo> <mml:mi>n</mml:mi> </mml:mrow> </mml:msub> <mml:msub> <mml:mi>a</mml:mi> <mml:mrow> <mml:mi>i</mml:mi> <mml:mi>j</mml:mi> </mml:mrow> </mml:msub> <mml:msup> <mml:mi>χ</mml:mi> <mml:mrow> <mml:msup> <mml:mi>q</mml:mi> <mml:mi>i</mml:mi> </mml:msup> <mml:mo>+</mml:mo> <mml:msup> <mml:mi>q</mml:mi> <mml:mi>j</mml:mi> </mml:msup> </mml:mrow> </mml:msup> <mml:mo stretchy="false">)</mml:mo> <mml:mo stretchy="false">)</mml:mo> </mml:mrow> </mml:math> explicitly in the case a ij ∈ F q . We also incorporate our results to obtain the condition for a class of Boolean functions to be bent, which are highly non-linear and widely applied in cryptography.
An Improved Weighted Differential Evolution Algorithm Based on the Chaotic Mapping and Dynamic Reverse Learning Strategy

Abstract The weighted differential evolution algorithm has the disadvantage of slipping into local optima and low convergence. To address these problems, an extended weighted differential evolution algorithm based on the chaotic mapping and optimal-worst dynamic opposite learning strategy is proposed. Firstly, the chaotic sequence generated by improved one-dimensional Logistic-Chebyshev mapping is employed to modify the starting population generated uniformly within the original algorithm, which aids in broadening the richness of the population. Secondly, to augment the probability of obtaining global optimum, an optimal-worst dynamic reverse learning strategy is used. Finally, a new evolutionary step size generation method is incorporated into the algorithm, which helps to acquire better solutions. The experimental outcomes obtained by testing 10 benchmark functions in CEC 2020 indicate that the proposed method has been greatly improved in accuracy.
Study for Identity Losses in Image-to-Image Domain Translation with Cycle-Consistent Generative Adversarial Network

Abstract The effect of identity loss in image-to-image domain translation using generative adversarial networks (GAN) remains largely uncertain given its wide application in many successful GAN architectures, e.g., CycleGAN. In this study, negative identity regularization and idempotence regularization are identified from several related studies, and a novel loss, positive identity loss which limits the generative model’s output on the input of positive samples from the source domain, is defined. Results from identity regularized GANs and those without are compared and analyzed. This study concludes that: 1) negative identity loss is helpful in regularizing CycleGAN’s tendency to apply inversible but non-identity transform on non-features such as coloration and background landscapes; 2) positive identity loss significantly increases resolution, details, and affinity with the original image on top of negative identity loss; 3) idempotence loss has positive but limited impacts on output image quality.
Digital Learning Integrated with Local Wisdom to Improve Students’ Physics Problem-Solving Skills and Digital Literacy

Abstract Digital learning integrated with local wisdom is designed to improve students' physics problem-solving skills and digital literacy. The study aims to analyze the practicality and effectiveness of digital learning integrated with local wisdom designed to improve students' physics problem-solving skills and digital literacy. The research was conducted by applying a pre-experimental design, one group pre-test and post-test for 66 high school students. When the learning process is carried out, observe the practicality of learning. The data collected from the pre-test and post-test were analyzed using paired t-test and n-gain. The results show that digital learning integrated with local wisdom is designed to improve students' physics problem-solving skills and digital literacy. It is proven that: it is practical (applicable) which is indicated by each phase that can be implemented by teachers with good categories; and effective in increasing students' physics problem solving and digital literacy, as indicated by a significant increase in physics problem-solving skills and digital literacy at 5%, and the average n-gain is in the medium category.
Examining the Effect of Using Mobile Technologies in Chemistry Laboratory on Self-Directed Learning Readiness: An Action Research

The aim of the present research is to determine the current situation in the readiness levels of 11th grade high school students for self-directed learning, to examine the effectiveness of laboratory activities developed with with mobile technology integrated into the 5E learning model in various chemistry subjects on students’ self-directed learning levels, and to contribute to improving the quality of teaching by taking student opinions about the activities developed at the end of the study. The research was designed as action research from qualitative research designs. The related laboratory activities developed within the scope of the research were carried out with thirty-three 11th grade students. The Self-Directed Learning Readiness Scale (SDLRS) was used to determine the readiness levels of high school students for self-directed learning and a semi-structured interview form was used to determine the students’ views on the activities. The data obtained from the interviews were analyzed by content analysis. During the applications, students performed the activities with mobile technology in a much shorter time compared to the classical laboratory activities and they had the opportunity for self-directed learning thanks to the mobile technology support they used in the applications. In the study, it was observed that students improved their ability to display the data obtained from the necessary calculations in various chemistry subjects, especially at the end of the activities, in the form of graphs without the help of a teacher.
Design for a Literature and Film Course Using a Mixed (Learner and Teacher-Centered) Approach

This study aims to mitigate the difficulties (e.g., lack of clarity, confusion, and resistance) of implementing a studentcentered learning course in a traditionally teacher-centered context (Kim, 2015) by adding elements of direct instruction to the student-centered curriculum. In this mixed-method (student and teacher-centered) elective course, thirty Korean intermediate university EFL students from multiple disciplines chose the class materials–the novel &lt;i&gt;Charlie and the Chocolate Factory&lt;/i&gt; (Dahl &amp; Schindelman, 1964) and its two film adaptations (Burton, 2005; Stuart, 1971). The participants then designed and implemented project-based activities as well as the means of assessment while the instructor facilitated the activities and delivered lectures and mini lessons based on students’ needs. To analyze student and teacher perceptions of the mixed-method approach as well as students’ description of their selfefficacy, the researcher applied a qualitative analysis of student and teacher journals as well as post-course interviews. The results showed that the mixed-method approach can lead to several benefits including authentic direct instruction and an improved sense of self-efficacy in teachers and students. One unexpected result was student satisfaction with the low-stakes atmosphere created by background music played during group activities. Some limitations such as teacher workload, assessment accuracy, and small sample size are described.
EFL instructors’ scaffolding strategies use in writing classrooms: The case of Wollega University

Second language acquisition is facilitated when teachers provide the necessary assistance for the learners through the process of scaffolding. The study aimed at identifying the scaffolding strategies EFL instructors use in writing classrooms at Wollega University. Six EFL teachers were video recorded while teaching writing to first-year students in Communicative English Skills II. The video-recorded data were transcribed and analyzed using Open code project software. Interview data were also used to strengthen the teachers’ classroom activities. The data from the interview were analyzed through narration according to specific themes. The result indicates that the instructors use scaffolding strategies like a questioning, explanation, inviting learners, repeating students’ utterances, praising learners, giving instruction, recasting, directing students’ thinking, giving feedback, use of L1, and others. Contrary to the use of scaffolding strategies, the misuse of the strategies has to be given attention to enhance its usage. Keywords: Interaction; scaffolding; strategies; writing.
Pengembangan Website Sebagai Sarana Peningkatan Promosi Pasar Tradisi Lembah Merapi Di Desa Wisata Banyubiru Kabupaten Magelang

Banyubiru Tourism Village has a market potential that is able to attract tourists to come to the Merapi Valley Tradition Market. The market sells a variety of traditional specialties, traditional souvenirs, traditional utensils, and so on. However, in the promotional activities of this tourist village, it is still conventional and has not been touched by digital promotions, either in the form of websites or social media. This is the background for the community service program to create a website for the Merapi Valley Tradition Market in Banyubiru Tourism Village, Dukun District, Magelang Regency. The activity of making this website began with observations of the Head of RW, Head of RT and local residents to collect information about the Merapi Valley Traditional Market. After the website content components have been sufficient, proceed with the design and content of the Merapi Valley Traditional Market website. Furthermore, the implementation of website creation begins with the preparation of hosting and domains as well as the addition of SSL for website security. These components are needed so that the website can be accessed online by anyone who needs information. Hosting is a service for storing data, images, and files on a website. Domain is the website address. Additional security features SSL (Secure Socket Layer) is required to provide encryption security on the website. The process after implementation, namely uploading the website to the hosting that has been provided. The last is the handover of the website to the Management of the Merapi Valley Traditional Market. Making this website aims to make it easier for the wider community, both domestic and foreign tourists to get information about the cultural diversity in the Banyubiru Tourism Village, especially the culture in the Merapi Valley Tradition Market.
Probing How Flashcards and Teams Games Tournament Boost EFL Learners’ Vocabulary

This current study investigates the implementation of flashcards and the Teams Games Tournament (TGT) to enhance students' vocabulary mastery. The participants were SDIT Nurul Hidayah Cigedog Brebes, fourth graders in the academic year 2021-2022. In addition, thirty-three students were the subjects of the study. This study employed Classroom Action Research. Instruments included a pre-test, a post-test, a questionnaire, and an observation. Besides using the normality test, descriptive statistics and paired sample T-test were utilized to analyze the data. In cycle I, the pre-test average was 72.12, and the post-test average was 82.03. In cycle II, the pre-test and post-test standards increased from 85.67 to 93.061. The cycle I mean was more significant than the cycle II mean. The "Paired Samples T-test" indicated that the cycle II result is higher than the cycle I result. Besides, the responses of students were positively received. The results of the observation sheet indicated that the students conducted teaching and learning activities effectively. Therefore, the implementation of flashcards and TGT is successful in enhancing students' vocabulary mastery.
Picture Series in Teaching Writing Skills: A Literature Review

This library research investigates how picture series implementation effectively improves students' writing skills on different text types. Data were collected from journals published in the last ten years, from 2012-2022, and analyzed using content analysis. The results indicated that picture series effectively improve students' writing skills in descriptive, narrative, recount, procedure, explanation, and spoof texts. Even the picture series is helpful when applied to teach writing skills to deaf and hard-of-hearing students. A visual representation of events arranged in chronological order naturally provides the students with clues that can help them arrange and develop ideas in writing. Besides, the picture series stimulate the students' process of thinking and imagination to write the assigned text. Picture series also promote students' engagement and participation. In other words, picture series enables students to improve their writing skills and change their behavior toward learning.
Automated, Systematized, Enrolment Program (A.S.E.P): An Efficient Way of data Gathering for Enrolment

Automated, Systematized, Enrolment Program (A.S.E