Reviewerly/exHarmony huggingface dataset:
Unsupervised Transfer Learning for Generative Image Inpainting with Adversarial Edge Learning

Deep learning-based image restoration techniques have made great progress in recent years, and EdgeConnect network has achieved good results in image restoration. We find that EdgeConnect suffers from a complex training process and poor migratability, which reduces its usability in practical applications. We explore the reasons for the poor transferability learning and generalization of the EdgeConnect model, and propose a small-sample unsupervised joint transfer learning method for the case of small datasets and low data similarity. The method combines a large amount of Fine-tune with a small amount of direct migration training to enable the network to learn new knowledge of the target domain while avoiding overfitting and negative migration. We perform migration learning and evaluation on 600 images from Paris StreetView with a pre-trained model obtained on the CelebA dataset, and show that it outperforms other current methods in terms of quality.
THE INFLUENCE OF READING MOTIVATION AND READING SELF-CONCEPT ON READING COMPREHENSION ACHIEVEMENT OF THE EIGHTH GRADE STUDENTS OF STATE JUNIOR HIGH SCHOOL OF LEMPUING DISTRICT

This study aimed to find out the influence of studentsâ€™ reading motivation and studentsâ€™ reading self-concept on studentsâ€™ reading comprehension achievement of the eighth grade students of state Junior High School of Lempuing District. In this study, 223 students of the eighth grade were chosen as the sample.Â This study applied the correlational causal effect quantitative research design. Questionnaire and test was used to collect the data. They were analyzed by using simple regression and multiple regression analysis. The result showed that (1) there was a significant influence of reading motivation on reading comprehension achievement of the eighth grade students of State Junior High School of Lempuing District, (2) there was a significant influence of reading self-concept on reading comprehension achievement of the eighth grade students of State Junior High School of Lempuing District, (3) there was significant influence of reading motivation on reading self-concept of the eighth grade students of State Junior High School of Lempuing District, (4) there was a significant influence of reading motivation and reading self-concept simultaneously on reading comprehension achievement of the eighth grade students of State Junior High School of Lempuing District.
Design and construction of a fuzzy logic solar tracker prototype for the optimization of a photovoltaic system

In this article, a fuzzy logic solar tracker was designed and implemented to increase the efficiency of a photovoltaic system by updating the position of the panel throughout the day for optimal use of solar radiation. In the design and implementation of the solar tracker, different control strategies were analyzed, concluding that the fuzzy control satisfies all the requirements of the photovoltaic system with a solar tracker, the developed prototype underwent different tests in a determined period of time to validate the performance of the solar tracker. system compared to one with a fixed position, achieving an increase of 40% compared to fixed solar systems.
COMPETENCIES OF FUTURE TEACHERS IN A MULTICULTURAL EDUCATIONAL SPACE: MIGRANT CHILDREN AND A MODERN SCHOOL

The article is devoted to the competence of future teachers to work with migrant children. The changes in the ethnic composition of students taking place in the modern Russian school determined the appeal to the analysis of professional tasks, difficulties and professional requirements of teachers. The methodological idea of the article is the consideration of migrant children as a special educational category of students requiring special methods and technologies of pedagogical activity. The area of application of the results is the pedagogical process of training future primary school teachers in the system of higher professional pedagogical education. Currently, the education system does not adequately meet the current demographic situation in the context of multicultural education: a significant increase in the number of migrant children in schools actualizes the study of ethno-pedagogical competencies of teachers in a multicultural educational environment. Teachers play a key role in the process of social adaptation of a child from a migrant family, but the problem of professional training of teachers to work with migrant children remains open. The revealed ethno-pedagogical nature of the problems, the necessary knowledge, the specifics of the content of the activity in solving the tasks of educational, socio-psychological and cultural adaptation of migrant children allowed us to conclude that the result of training teachers to work with migrant children is the formation of their ethno-pedagogical competence.
COMMUNICATIVE AND AXIOLOGICAL APPROACH IN THE IMPLEMENTATION OF MUSICAL AND THEATER CREATIVITY

The object of research — musical theatricalization, acting as a genre class, which has stable and mobile genre features (the axial are musical and theatrical beginning, the synthesis of which may appear in different forms, changing the ratio of musical and theatrical means of expression); subject — communicative-axiological aspects of the implementation of musical and theatrical creativity; purpose — development of communicative-axiological approach to the study of musical theatricalization. Methodological approaches used in the study: conceptual, systematic, integrated. Scientific novelty is due to the introduction of an original methodology, allowing a new approach to the study of the phenomena of musical theatricalization, both past and present. Communicative-axiological approach is based on the conjugation of the concepts of communicative and axiological approaches in the same research field. The totality of research methods leads to the study of certain communicative situations in which, as a result of the interaction of communicants in the aesthetic and socio-cultural space there is a transfer of information from one subject to another and the field of different values, due to social, professional and personal factors is formed. Communicative-axiological approach implies a comprehensive study of the phenomena of creative activity, focused on identifying aesthetic and anthropological value. The approach unfolds within the receptive dialogic paradigm, according to which in the process of realization of musical theatricalization there is perception of the figurative plan of events of a specific situation and simultaneously processing and translation of the already updated content. In this way, «effective experience» is carried out and initially subjective meanings penetrate into intersubjective space, thereby determining the process of formation of the value orientations of the individual.
Implementasi Sistem Informasi Geografis pada Pemetaan Lahan Aset Desa Palembon menggunakan Google Maps API

Village assets are assets owned by the village. It is necessary to collect, record, and report the data. The village assets consist of several types, one of which is buildings and land. To collect data on building and land assets, a mapping is needed to describe the condition of the distribution area of these assets. Therefore, a web-based Geographic Information System (GIS) design, using the Laravel Framework utilizing the Google Maps Javascript API as a digital map provider and MySQL as a database. This system is used to fix the problems with data collection, recording, and reporting the asset data.
Analisis Kepuasan Pengguna BIMA Menggunakan Integrasi Model EUCS Delone Mclean dan Self-Efficacy

Technology modernization is developing so fast that people have become dependent on it. Technology has a major impact on human life. It plays a larger role in the life of a wider community, especially in education, where it plays a role as a knowledge provider. The information system is an integrated unit of information technology and an activity to support operations and management to use the technology. One of the information systems used in education is the Research and Community Service Information Base (BIMA). BIMA is an information system that reports research activities such as planning, implementation, and reporting. BIMA implementation is within the Academic Community of the Telkom Purwokerto Institute of Technology. However, BIMA still has several problems with the infrastructure and systems, creating dissatisfaction when users access it. Based on these conditions, an analysis of user satisfaction with BIMA is needed. This study uses the EUCS, Delone Mclean, and Self-Efficacy Model Integration. This study analyzes user satisfaction levels and determines which factors significantly affect BIMA user satisfaction. The testing technique used is SEM-PLS. Based on the test results, there are five variables with a significant effect. Information Quality, System Quality, and Self-Efficacy significantly affected User Satisfaction. Technical Support significantly affected System Quality, and System Quality variables significantly affected Information Quality. One hypothesis has no significant effect on User Satisfaction, namely the Technical Support variable with p-values &gt; 0.05, which is 0.478 and the t-statistic value &lt;1.64, which is 0.032.
The Role of Indigenous Knowledge in Achieving a Flood Resilient Society in Flood Risk Area of Musi River, Case Study: 3-4 Ulu Palembang, Indonesia

Waterfront settlements are commonly found in Palembang, where the housing is spread around the river.River flooding is an annual natural phenomenon and people living near the river built houses that are floodproof with the height of the building exceeding the highest water level.Many years of experience with floods have given rise to indigenous knowledge of flood-proofing construction systems.A Wooden stilt house is a well-known housing that can be spotted along the Musi River and is an example of indigenous knowledge in the flood protection system.The study area is in the riparian of 3-4 Ulu which has a high risk of flooding.It is a qualitative-descriptive study that uses questionnaires to determine indigenous knowledge about flood control practices implemented with an assessment tool called Flood Resilience Rose (FRR).The digitization of existing indigenous knowledge with ArcGIS is conducted to provide an overview of indigenous practices in the study area and how a resilient society in a floodprone area functions in sustaining and adapting to floods.The outcome of this study is expected to inform the decision-making process in reducing flood risk in the Palembang municipality.
Penerapan Metode Model View Controller dan Clustering Untuk Sistem Pemesanan Menu Berbasis Android

Waroenk Akul is a variety of food places located in the Pasar Minggu area of ​​South Jakarta, where Waroenk Akul is still applying the method of ordering food directly to the seller by means of the customer getting a menu book and recording the desired menu order still using the books and pens provided, based on the application. android here this ordering aims to make it easier for customers to order and choose food using their respective customer's cellphones, this android feature is also available a menu that is often ordered by customers in its android application. In this research, the system development uses the MVC (Model View Controller) method which divides the login display and the user interface or the display seen by the user, while the Clustering searches for information data in a system, with a key, for example finding the fried rice menu, then will appear all types of fried rice menu. With this system, it is very easy for customers to see the food menu without having to open the book food menu.
Analysis of Website Usability of Provincial Governments in Indonesia with The Heuristic Evaluation Method

The Indonesian government initiated the implementation of E-government as a public service in 2003 with Presidential Instruction No.3 of 2003 issuance of National Policy and Strategy for E-Government Development. This rule was strengthened in 2007 by Regulation of the Minister of Communication and Information Technology No.41/PER/M.KOMINFO/2007 concerning General Guidelines for National Information and Communication Technology Governance. However, many provincial government sites still have not implemented a usability test. This problem is reinforced by the website interface not meeting the standards set by the government. So, usability testing is needed to find the problems found on the provincial government website. The method used in this usability test is the heuristic evaluation method. The evaluation was carried out by involving three evaluators to evaluate 28 provincial government sites. The evaluator detects problems based on ten heuristic principles proposed by Jakob Nielsen and is assessed with a severity rating. analysis results show the province of Aceh and the Special Region of Yogyakarta website is ranked first with the lowest severity rating value with a value of 0.43. In contrast, North Kalimantan is ranked last with the highest severity rating value with a value of 1.08. Around 71.4% of provincial government websites have no problems with user control &amp; freedom, and consistency &amp; standards. Then half of the provincial government's websites have problems with recognition rather than recall. Last, more than 50% of websites have problems with other heuristic principles.
5. Effect of number and position of frames in speaker age estimation

With the invention of powerful processing devices as well as lucrative capabilities in the first two decades of the 21 st century, machine learning algorithms will soon be able to predict speaker age with higher accuracy or much lower error rate.It is an age-old quest for the human society to profile individuals remotely which basically includes age.Speaker age estimation has been treated in quite few perspectives.However, most of these approaches fail to show the effect of utterance length, aka number of frames on speaker age estimation.We present a detailed analysis on the effect of number of frames and position of frames for speaker age estimation using four magnitude-based and one phase-based spectral feature sets.The optimal speech duration for this objective is investigated.In addition, the mismatch between the training and test utterance duration is explored.The magnitude-based features are mainly derived from filter bank analysis.After the filter-bank analysis, an i-vector is generated for each utterance.Least squares support vector regression (LSSVR) is employed for speaker age estimation.In the experiments, the aGender database which consists of utterances from four age groups of German speakers is used.Increasing number of frames in the training and test increases the age estimation accuracy.This can be associated with the notion that more data helps the estimation process.Concerning position, the frames located at the centre of utterances tend to offer better results for both genders.The backend algorithms offer the best performance when the utterance length of training and test sets are equal for longer speech segments, otherwise training with medium length utterances and testing with longer ones offers better estimation performance especially for the female dataset.
Enhancing Customer Relationship Management Using Fuzzy Association Rules and the Evolutionary Genetic Algorithm

The importance of Customer Relationship Management (CRM) has never been higher.Thus, companies are forced to adopt new strategies to focus on customers, given the competitive climate in which they operate.Also, companies have been able to maintain customer data within large databases that contain all information related to customers, thanks to the tremendous technological development seen recently.Multilevel quantitative association mining is a significant field for achieving motivational associations between data components with multiple abstraction levels.This paper develops a methodology to support CRM to improve the relationship between retail companies and their customers in the retail sector to retain existing customers and attract more new customers, by applying data mining techniques using the genetic algorithm through which an integrated search is performed.The proposed model can be implemented because the proposed model does not need the minimum levels of support and trust required by the user, and it has been confirmed that the algorithm proposed in this research can powerfully create non-redundant fuzzy multi-level association rules, according to the results of these experiments.
OPTIMIZING THE USE OF YOUTUBE CHANNEL TO IMPROVE STUDENTS’ SPEAKING ABILITY DURING ONLINE LEARNING

Technology plays an important role in people’s day-to-day life and can be used effectively for various aspects in education. The YouTube channel is regarded as one online material that can be integrated into traditional English lessons. It is also considered a source of online material that can play a vital role in the teaching and learning process. This study attempts to find the optimizing of YouTube channel to improve students’ speaking ability. A classroom action research was conducted to first semester college students of STIA Satya Negara Palembang. The population of this study was all of students in the first semester and the samples were 35 students in redundant class chosen using purposive sampling. The data were obtained from speaking assessment and interview and later analyzed by using constant comparative method and descriptive statistic. This study showed that YouTube channel as English learning material improved speaking ability of students including fluency, vocabulary, pronunciation, grammar, and content. Therefore, it can be concluded that optimizing of YouTube channel is able to improve the students’ speaking ability during online learning. Further study may concern on the optimizing of YouTube channel to teach other English ability like reading and writing.&#x0D; &#x0D; Keywords: YouTube Channel, Speaking Ability, Online Learning
Design of Virtual Experiment Teaching of Inorganic Chemistry in Colleges and Universities Based on Unity3D

Focusing on the high-cost issues and many risk and uncontrollable factors in chemical experiment teaching in modern colleges and universities, a virtual reality inorganic chemistry (IC) simulation experiment strategy based on Unity3D technology is studied.Starting from the needs of IC experiment teaching, a collision detection algorithm (CDA) between the experimental environment and the virtual scene with Unity3D as the main technical framework is designed.The results show that the collision detection (CD) time of the CDA designed in the research is 99ms, the detection average value is 95.29%, and the accuracy variance is 0.021.The above values are better than the same type of algorithm.This shows that the CD accuracy and efficiency are higher, and the performance is stronger.In addition, the virtual chemistry experiment designed in the research can significantly improve the students' using attitude from the three main aspects of perceived ease of use (PEU), immersion and interactivity, and then enhance the students' learning effect.Therefore, the method of virtual experiment teaching of IC in colleges and universities based on Unity3D is effective and provides a new idea for modern teaching reform.
A Deep Learning based Approach for Recognition of Arabic Sign Language Letters

No one can deny that the deaf-mute community has communication problems in daily life.Advances in artificial intelligence over the past few years have broken through this communication barrier.The principal objective of this work is creating an Arabic Sign Language Recognition system (ArSLR) for recognizing Arabic letters.The ArSLR system is developed using our image pre-processing method to extract the exact position of the hand and we proposed architecture of the Deep Convolutional Neural Network (CNN) using depth data.The goal is to make it easier for people who have hearing problems to interact with normal people.Based on user input, our method will detect and recognize hand-sign letters of the Arabic alphabet automatically.The suggested model is anticipated to deliver encouraging results in the recognition of Arabic sign language with an accuracy score of 97,07%.We conducted a comparison study in order to evaluate proposed system, the obtained results demonstrated that this method is able to recognize static signs with greater accuracy than the accuracy obtained by similar other studies on the same dataset used.
Sentiment analysis on Amazon Product Reviews

Sentiment Analysis refers to analyzing text in order to determine the sentiment or opinionthat the text is supposed to convey. In this article, the text that is being analyzed are Amazonproduct reviews taken from Kaggle’s Amazon Reviews Dataset, and the predicted sentiment iswhether or not the reviewer liked or disliked the product.
Training Natural Language Processing Models on Encrypted Text for Enhanced Privacy

With the increasing use of cloud-based services for training and deploying machine learning models, data privacy has become a major concern. This is particularly important for natural language processing (NLP) models, which often process sensitive information such as personal communications and confidential documents. In this study, we propose a method for training NLP models on encrypted text data to mitigate data privacy concerns while maintaining similar performance to models trained on non-encrypted data. We demonstrate our method using two different architectures, namely Doc2Vec+XGBoost and Doc2Vec+LSTM, and evaluate the models on the 20 Newsgroups dataset. Our results indicate that both encrypted and non-encrypted models achieve comparable performance, suggesting that our encryption method is effective in preserving data privacy without sacrificing model accuracy. In order to replicate our experiments, we have provided a Colab notebook at the following address: https://t.ly/lR-TP
Implementation Of K-Nearest Neighbor Algorithm With SMOTE For Hotel Reviews Sentiment Analysis

Indonesia has considerable tourism development potential, this phenomenon is in accordance with the number of foreign tourist visits to Indonesia from January to September 2022 recorded by Badan Pusat Statistik many as 2,397,181 visitors. This research focuses on super-priority destinations in Labuan Bajo, East Nusa Tenggara, based on the government's plan that the focus of developing this destination is to increase hotel development to meet the need for an additional 2,000 hotel rooms. Thus, the available hotel rooms are still limited. Then for need to choose a hotel based on the November 2021 survey by the Populix website, 76% of 1,012 respondents chose to book hotels online with the majority using the Traveloka website. However, making decisions in choosing hotels using the reviews feature in the Traveloka website still raises various problems, such as biased information and even the rating values ​​given do not match the reviews submitted. So that users to know what becomes the perception of positive and negative ratings, it is necessary to do in-depth research on satisfaction factors to find out positive and negative sentiments of hotel visitors. This study uses the k-nearest neighbor algorithm with SMOTE on the research objects of the three most popular hotels in Labuan Bajo. Data testing uses a value of k = 3 so that it produces an accuracy value of 87.71% - 93.47% with a maximum error tolerance of 12.29%. In addition, the performance of accuracy results is validated by the appropriate AUC value, namely the good classification category.