Reviewerly/exHarmony huggingface dataset:
Strategi Pembelajaran Membaca Permulaan pada Peserta Didik Berkebutuhan Khusus

Proper education is a citizen's right. This is stated in Article 31 Paragraph 1 of the 1945 Constitution, which states that every citizen has the right to education. One form of implementation is schools for children with special needs, which are provided specifically to educate students with special needs (PDBK). Schools for children with special needs in Indonesia are regular schools, special schools (SLB), and inclusive schools intended to realize and guarantee education for all. This research aims to reveal the efforts made by SD Tumbuh 1 in creating effective strategies for learning beginning reading for children with special needs. The sources of this research are the principal, vice principal, counselling guidance teacher, special needs companion teacher, homeroom teacher and all teachers and staff at SD Tumbuh 1 Yogyakarta. Sampling was conducted in classes 1A and 1B, which comprised 21 students. Observation techniques, in-depth interviews, and document studies were applied to obtain data. Data analysis was carried out using qualitative descriptive analysis, which includes data reduction, data presentation, and conclusion drawing. The results showed efforts to create effective strategies in learning beginning reading for grade 1 at SD Tumbuh 1 Yogyakarta. First, repetition strategies with challenges are effective for learning beginning reading for children with special needs at SD Tumbuh 1 Yogyakarta. Second, the ease of regular students and students with special needs at SD Tumbuh 1 Yogyakarta, in the beginning, reading using repetition strategies in every lesson.
An End-To-End Deep Learning Approach for Atherosclerosis Detection using Autoencoders

Cardiovascular disease remains the primary cause of mortality worldwide. Early diagnosis of cardiovascular diseases, particularly atherosclerosis, has been the focus of extensive research. Gated Magnetic Resonance Imaging has enabled researchers to capture high-resolution images of the cardiovascular system, facilitating the detection of arterial wall plaque. The integration of machine learning techniques into the diagnostic process has significantly improved the accuracy of cardiovascular disease diagnosis. This paper proposes a deep learning approach that utilizes autoencoders to identify atherosclerosis in murine subjects from gated MRI images. The images underwent preprocessing using a Block Matching 3D (BM3D) filter to eliminate noise and Contrast Limited Adaptive Histogram Equalization (CLAHE) to enhance contrast. To evaluate the performance of the proposed model, we trained and tested two different autoencoder architectures, stacked and convolutional. The models successfully distinguished healthy and diseased subjects based on input and reconstructed images. The Convolutional Autoencoder outperformed the Stacked Autoencoder by minimizing the reconstruction loss by 95%, demonstrating superior accuracy in reconstructing medical images.
Differential Newborn Face Morphing Attack Detection using Wavelet Scatter Network

Face Recognition System (FRS) are shown to be vulnerable to morphed images of newborns. Detecting morphing attacks stemming from face images of newborn is important to avoid unwanted consequences, both for security and society. In this paper, we present a new reference-based/Differential Morphing Attack Detection (MAD) method to detect newborn morphing images using Wavelet Scattering Network (WSN). We propose a two-layer WSN with 250 × 250 pixels and six rotations of wavelets per layer, resulting in 577 paths. The proposed approach is validated on a dataset of 852 bona fide images and 2460 morphing images constructed using face images of 42 unique newborns. The obtained results indicate a gain of over 10% in detection accuracy over other existing D-MAD techniques.
SCHOOL BUDGET NEEDS ASSESSMENT: MULTI-SITES STUDY AT MALANG PUBLIC JUNIOR HIGH SCHOOLS

This study aims to examine more deeply and find supporting factors related to the need for assessment funding in three public junior high schools in Malang city. In addition, this study also aims to analyze what dimensions are very supportive in the financing assessment process within the institution. This article uses a qualitative research type with a multi-site and descriptive approach to reveal some of these dimensions. Meanwhile, the techniques used in extracting data related to the research theme are in-depth interview techniques, participant observation, and documentation techniques. After going through data mining techniques to obtain information, the researchers found that five main things became successful in assessing school financing needs. First, identify the urgency of allocating absorbed education funding. Second, policy analysis in determining the main priority elements of education financing must be considered so that it is right on target and under the vision and mission of the institution. Third, being able to assess and identify sources that generate funding for education. Fourth, agencies and stakeholders involve the community in the education design and financing process.
EXPERT SYSTEM FOR DIAGNOSING DISEASE USING FUZZY LOGIC

In this research, a system for diagnosing disease was designed and implemented. This system will be used for paramedics expert. They need to enter many symptoms. The symptoms are classified into two categories, crisps and fuzzy. The fuzzy symptoms are input using slider. It is used for uncertainty symptoms. Building this system, needs three steps knowledge acquisition, knowledge representation and then building knowledge base, and finally building inference engine. This system uses standard class operator, algebraic class operator, and Einstein class operator. Implication rule uses Dienes-Rescher and for combine all rules use Mamdani Combination. Based on all symptom that have been entered using standard class operator, this system is a success for diagnosing disease and its inference value. Keywords : diagnose disease, expert system, fuzzy logic.
MOTIVES OF PARTICIPATION AND ATTITUDES OF SCIENTIFIC VOLUNTEERS

This article presents the study of the attitudes of scientific volunteers through cognitive, emotive and behavioral components. As part of the cognitive component, participants' ideas about scientific volunteering and associations with it are described. The study of the emotive component demonstrates what feelings and emotions scientific volunteers experience when engaged in this activity. In turn, the behavioral component reveals the experience of scientific volunteers, the specifics and focus of civil science projects. The motives of participation in scientific and volunteer activities are also described, which are classified within the framework of the Schutz typology, namely the in-order-to and because motives. The paper considers the socio-cultural characteristics of scientific volunteers. A number of recommendations are proposed to increase the effectiveness of attracting people to scientific and volunteer activities.
MENGIMPLEMENTASIKAN MODEL JEMBATAN KELEDAI UNTUK MENINGKATKAN KEAKTIFAN DAN HASIL BELAJAR SISWA

This study aims to determine the increase in and learning outcomes after the implementation of learning model Donkey Bridge dan Contextual Teaching and Learning. This research is classroom action research (PTK) is conducted in two cycles. The subjects were students of class V MIN 1 Kota Tasikmalaya totaling 20 pupils. Collecting data using observation method for learning activities and methods of testing for learning outcomes. Data were analyzed to determine the mean percentage. The results showed that an increase in the percentage of learning activities and learning outcomes. At the first cycle average percentage of students learning outcomes in action I amounted to 70,95 (low category) and action II amounted to 75,95 (middle category) with learning activities amounted to 50% (low category). At the second cycle the average percentage of students learning outcomes amounted to 87,90 (high category) and action II amounted to 92,75 (high category) with learning activities amounted to 90% (high category). The implementation of Donkey Bridge dan Contextual Teaching and Learning prove to increase the level of learning outcomes significantly and be able to improve students’s activities.
Possibilities of Building a Personalized Educational Trajectory Using Moodle Platform

The article examines the differences between the two concepts of personalization and individualization in the context of education. The authors emphasize that most scientists agree that it is necessary to distinguish between these terms. Individualization implies the possibility of choice for students within the framework of the main educational program, and personalization – the development of an educational path, taking into account the interests, experience and pace of mastering the material for each student individually. The authors of the article draw attention to the terminological ambiguity associated with the introduction of digital technologies in education and offer clear and concise formulations for defining terms. The article also describes the designer of individual educational trajectories – an innovative development – in the distance learning system of Peter the Great St. Petersburg Polytechnic University, which allows you to create personalized educational trajectories based on materials posted on the Moodle platform by automating the selection of elements of disciplines according to a given professional profile.
Thinking Through Performance Technology in Music / Sound

Performance Philosophy is an emerging interdisciplinary field of thought, creative practice and scholarship. The international, peer-reviewed, open access journal publishes articles that interrogate what this field might be and what might be possible within it.
SecureHealth: A Blockchain-Based Healthcare Application

This study uses blockchain technology to create a decentralized platform that is safe for storing and exchanging medical records.The technology guarantees tamper-proof and permanent records of patient data while giving patients control over their private health information.In order to improve healthcare services, the application will also offer some extra healthcare features like a doctor locator and area warnings.Medical records will be maintained on the decentralized storage network Arweave, while the application will be built on the Solana blockchain.This strategy will improve medical data security while ensuring quick access to medical records.
حالة البحث وتوجهاته في نموذج الفصل المقلوب للتعلم باستخدام التكنولوجيا: مراجعة منهجية للدراسات التجريبية المحكمة المنشورة في مجلات مختلفة حتى عام 2022

The current study aims to investigate research trends in the flipped classroom model (FCM). To achieve this, 823 peer-reviewed empirical studies published in different journals up to 2022 were selected and systematically reviewed. According to the data, FCM research receives more scholarly attention each year. The trend that was found in FCM research is that participants are generally chosen from the undergraduate level, and the majority of participants were found to be students. Furthermore, FCM researchers have applied various research methods during the past years; however, they have shown a preference for the quantitative design. The findings of this review show that research on the FCM is more commonly conducted in the fields of medical and health sciences and language than in other disciplines. These findings are expected to provide a better understanding of the status and trends associated with the FCM and help to visualize future practice and research directions.
Governance and Institutions in Development in Africa

This article establishes the link between governance and institutional quality on economic performance within African economies. The paper establishes whether these social and economic structures support or constrain efforts to achieve sustainable development within these economies. In establishing the link between governance and institutions with development outcomes, the authors use the Worldwide Governance Indicators and OECD`s Country Risk Classifications as two institutional quality and governance measures. The article equally looks at the facets of governance, institutional quality dimensions, and how they impact development outcomes. Consequently, acceleration in economic growth in the African economies shall not only require accountable and transparent governments, but equally strong institutional frameworks and human capacity building alongside visionary leadership with sound policies and their subsequent implementation. The paper proposes strategic interventions toward improving governance and strengthening institutional frameworks for accelerated growth and development.
Domain Adaptation Based on Semi-Supervised Cross-Domain Mean Discriminative Analysis and Kernel Transfer Extreme Learning Machine

Good data feature representation and high precision classifiers are the key steps for pattern recognition. However, when the data distributions between testing samples and training samples do not match, the traditional feature extraction methods and classification models usually degrade. In this paper, we propose a domain adaptation approach to handle this problem. In our method, we first introduce cross-domain mean approximation (CDMA) into semi-supervised discriminative analysis (SDA) and design semi-supervised cross-domain mean discriminative analysis (SCDMDA) to extract shared features across domains. Secondly, a kernel extreme learning machine (KELM) is applied as a subsequent classifier for the classification task. Moreover, we design a cross-domain mean constraint term on the source domain into KELM and construct a kernel transfer extreme learning machine (KTELM) to further promote knowledge transfer. Finally, the experimental results from four real-world cross-domain visual datasets prove that the proposed method is more competitive than many other state-of-the-art methods.
CBIR-SAR System Using Stochastic Distance

This article proposes a system for Content-Based Image Retrieval (CBIR) using stochastic distance for Synthetic-Aperture Radar (SAR) images. The methodology consists of three essential steps for image retrieval. First, it estimates the roughness (α^) and scale (γ^) parameters of the GI0 distribution that models SAR data in intensity. The parameters of the model were estimated using the Maximum Likelihood Estimation and the fast approach of the Log-Cumulants method. Second, using the triangular distance, CBIR-SAR evaluates the similarity between a query image and images in the database. The stochastic distance can identify the most similar regions according to the image features, which are the estimated parameters of the data model. Third, the performance of our proposal was evaluated by applying the Mean Average Precision (MAP) measure and considering clippings from three radar sensors, i.e., UAVSAR, OrbiSaR-2, and ALOS PALSAR. The CBIR-SAR results for synthetic images achieved the highest MAP value, retrieving extremely heterogeneous regions. Regarding the real SAR images, CBIR-SAR achieved MAP values above 0.833 for all polarization channels for image samples of forest (UAVSAR) and urban areas (ORBISAR). Our results confirmed that the proposed method is sensitive to the degree of texture, and hence, it relies on good estimates. They are inputs to the stochastic distance for effective image retrieval.
Science Popularization on Nature of the Native Land

The problem of popularization of scientific knowledge about the nature of the native land among students in higher and secondary schools is considered in connection with the requirements of the state for the formation of a holistic scientific picture of the world among graduates of educational institutions. The purpose of the article is to clear options for popularizing geographical knowledge in a regional context and their implementation into audience of schoolchildren, college and university students. Method of generalization of both options for popularizing scientific knowledge and information on global changes of temperature on the planet, their manifestation within the Novosibirsk Region and the role of human in these changes is used as the main one. The Interfaculty Technopark of Universal Pedagogical Competencies is an effective integrative platform where it is possible to combine the pedagogical efforts by school teachers, college and university lecturers, and experts in the field of geographical education. These activities help to educate the young generation and form information literacy on local history and tourism by providing the reliable facts on the natural environment. An example of science popularization on nature of the native land on the changes of global temperature in the Novosibirsk Region has been shown. Options for the application of the topic of temperature fluctuations in the thesis statement as one of the current issues in the educational process are proposed.
The Influence of Learning Media Flash Card and Picture in the Development of English to Improve Childhood Speaking Skills

Early childhood has a strong curiosity, that's one of its characteristics. This curiosity can be overcome by using the media as a media application. Because learning English as a language that is widely used in the world today is quite a difficult task, especially for young children. However, there are many ways to make learning English easier, especially speaking skills, by using learning media, such as listening to children's songs, watching animated videos, and using application features on mobile phones. Learning media is anything that is used to increase the effectiveness of learning for each student. Through the development of technology, education and mass media, they can create a more attractive and efficient way of teaching for everyone, especially children. In early childhood, the media used certainly attracts more attention, such as the use of flash cards and pictures. This learning media causes the emergence of creativity for every child which is useful for improving their abilities, especially speaking skills, so that children are even more courageous to express their opinions using English.
Media Language Games for Junior High Indonesian Language Learning

The purpose of this research was to characterise the impact of using language game media to teach Indonesian, hoping to improve the language skills of eighth-grade students in Jeneponto Regency. Different treatments were administered to each group of students in this quantitative research, which followed an experimental research design. The control group received no special treatment and simply traditional approaches, whereas the experimental group was given media language games. Finding differences in learning achievement between students taught using media language games and students not taught using language games (conventional method) is a key goal of this study, which aims to inform best practices for teaching Indonesian to eighth-grade students in Jeneponto Regency. As a result, media-based language games are a powerful tool for teaching and learning Indonesian.
Aplikasi Sistem Informasi Geografis untuk Identifikasi Potensi dan Kerentanan Longsor di Kabupaten Bondowoso Provinsi Jawa Timur

Application of Geographic Information System for Identification of Landslide Potential and Susceptibility in Bondowoso Regency. The study was to determine the potential and susceptibility of landslides, as well as to determine the distribution of landslide points in Bondowoso Regency. This research uses a survey and scoring method which refers to PSBA UGM (2001) and BNPB (2012). The parameters used in this study were five, namely soil movement, presipitation, soil type, slope, and land use. The landslide susceptibility level is obtained by overlapping the landslide potential map and the vital land use map. The class of landslide potential in Bondowoso Regency is categorized into areas with no potential to high landslide potential. The class with no potential spread in the lowlands is 27,906.57 ha or 18.27%, the low potential class is 60,391.34 ha or 39.53%, the medium potential class is 43,803.54 ha or 28.67% and the high potential class covering an area of 20,685.32 ha or 13.54% of the total area of Bondowoso Regency. Areas with high landslide susceptibility are Grujugan, Klabang, Maesan, Pakem, and Sempol sub-districts with 50 landslide points found in the sub-district.
Implementation of Adaptive Neuro-Fuzzy Inference System and Image Processing for Design Applications Paper Age Prediction

The development of technology today is widely misused by some people who intend to forge paper on documents and books. One way to find out the authenticity of a paper is by knowing its age. The age of paper can be known in several ways: carbon dating, uranium dating, and potassium-argon dating. But these methods still have weaknesses, requiring sophisticated equipment at a high cost, long processes to get results and limited access. To solve this problem, researchers made an application that can identify the age range of a sheet of paper with a faster process, low cost and does not have to be used by laboratory employees alone. The application is a Paper Age Prediction Application made desktop-based, using the MATLAB programming language with the Anfis Sugeno (TSK) Gaussian membership function method. Image processing by taking the average values of C, M, Y, and K from 70 images used as a database and will be trained with ANFIS. The research method uses interviews, observations, and literature studies—the prototype application development method. The test results showed an application success rate in identifying 60 data that had been trained by 100% against 40 that had not been trained by 42.5%.
The Development of Teaching Materials Based on Mobile Learning in English Learning for Elementary Schools

This research is motivated by the low learning outcomes of elementary school students in learning English. This research aims to develop Android-based mobile learning teaching materials to support English language learning in elementary schools and improve student learning outcomes. This study uses Research and Development (RD) research using the Borg and Gall model, with the research sample being 5th-grade students of public elementary schools in West Java Province. Product validation tests were obtained from material, language, practitioners, and design experts and practitioners. Furthermore, the practicality test was obtained from the teacher and student response questionnaires throughout the learning process. Meanwhile, the effectiveness test was obtained through a limited trial using an experimental pretest-posttest control group design. The output of this research is to produce an application program for Android-based mobile learning teaching materials. Based on the study results, it can be concluded that Android-based mobile learning teaching materials are valid, practical, and effective for learning in elementary schools.