Reviewerly/exHarmony huggingface dataset:
An Investigation of Students Phonological Awareness in Speaking

The study is designed to address the fundamental question of how students understand phonological awareness. Learning to read is based on phonological awareness, the purpose for the student to be able to recognize the sounds of the spoken language, which of course enables the recognition of the spoken voice. In this case, speaking, which is one of the most important English language skills, also plays an important role, and the thought processes of languages are interconnected. The research used in this context was a quantitative method. Third-semester students of Universitas Muhammadiyah Makasssar were used as subjects, but only five students became research subjects to understand phonological awareness. The medium used in this study was a text medium. All correspondents used English. Based on the results of the study, it was revealed that three out of five subjects understood the four indicators of phonological awareness and two of them understood very little or did not understand the four indicators of phonological awareness. This shows that understanding students who were the subject of the third semester of the English Language Education study program already good and the total number of research results is 77.5 or in terms of quality was good.
SISTEM INFORMASI PENGELOLAHAN ARSIP BERBASIS WEB PADA KANTOR JASA PENILAI PUBLIK MBPRU

Archives are a source of information that has an important function to support the administrative and management activities of an agency. The archive can be in the form of letters, both incoming and outgoing letters. Management of letter archives at the Muttaqin Bambang Purwanto Rozak Usawatun Public Appraiser Services Office (MBPRU) is still done manually. Seeing the very important role played by MBPRU in the field of property valuation, machine appraisal, factory appraisal, feasibility studies, heavy equipment valuation and land acquisition appraisal required by stakeholders. So it is better if this archive processing is developed digital management. This development was carried out in the form of research on the design of a Web-Based Records Management Information System software that MBPRU could later use for services to their customers. Researchers went directly to the field to get the necessary data. The programming language used is PHP and MySQL for database processing. The results of this study are in the form of a programming application in the form of outgoing mail report data input, and disposition data input. yearly, outgoing letter reports from year to year as well as letter disposition reports using this system, the process of recording incoming and outgoing archives can be properly organized when searching archives and retrieving archives. It is hoped that this archive processing application can be further developed by further researchers to complement what researchers have developed, as a system that is connected to one another.
ANALISIS KEMAMPUAN GURU DALAM PENGGUNAAN MEDIA PEMBELAJARAN DIGITAL PADA MASA ADAPTASI KEBIASAAN BARU DI SDN 105377 NAGA KISAR KEC. PANTAI CERMIN T.A 2020/2021

The purpose of the research is to determine the ability of elementary school teachers using digital learning media during the new habit adaptation at State Elementary School 105377, Naga Kisar Pantai Cermin in 2020/2021 academic year. This study is descriptive quantitative research. The sample in this study was 8 teachers. The data collection technique used in this research is questionnaires. The results showed that the teacher's ability using digital learning media at State Elementary School 105377 Naga &#x0D; Kisar was moderate with an average score 3.11. With the percentage of alternative answers for each sub-indicator, the sub-indicator of teachers knowing and being able to use digital learning media, the answers are always 67.18% included in good category, frequent answers 20.31% included in low category, 12.5% answers sometimes, included in very low category. The sub-indicators of digital learning media can build cooperation and confidence of children, 50% of the answers are always included in medium category, 20.83% of the answers are often, low category, the 29.16% answers are sometimes included in low category. The sub-indicators of digital learning media are able to arouse children's enthusiasm and motivation in learning, 7.5% answers are always included in low category, 22.5% answers are often included in low category, sometimes 70% included in good category. Based on the analysis of questionnaire for each sub-indicator, it can be concluded that teacher's ability to use digital learning media at State Elementary School 105377 Naga Kisar is in medium category.
Sparse Waypoint Validity Checking for Self-Entanglement-Free Tethered Path Planning

A novel mechanism to derive self-entanglement-free (SEF) path for tethered differential-driven robots is proposed in this work. The problem is tailored to the deployment of tethered differential-driven robots in situations where an omni-directional tether re-tractor is not available. This is frequently encountered when it is impractical to concurrently equip an omni-directional tether retracting mechanism with other geometrically intricate devices, such as a manipulator, which is notably relevant in applications like disaster recovery, spatial exploration, etc. Without specific attention to the spatial relation between the shape of the tether and the pose of the mobile unit, the issue of self-entanglement arises when the robot moves, resulting in unsafe robot movements and the risk of damaging the tether. In this paper, the SEF constraint is first formulated as the boundedness of a relative angle function which characterises the angular difference between the tether stretching direction and the robot's heading direction. Then, a constrained searching-based path planning algorithm is proposed which produces a path that is sub-optimal whilst ensuring the avoidance of tether self-entanglement. Finally, the algorithmic efficiency of the proposed path planner is further enhanced by proving the conditioned sparsity of the primitive path validity checking module. The effectiveness of the proposed algorithm is assessed through case studies, comparing its performance against untethered differential-driven planners in challenging planning scenarios. A comparative analysis is further conducted between the normal node expansion module and the improved node expansion module which incorporates sparse waypoint validity checking. Real-world tests are also conducted to validate the algorithm's performance. An open-source implementation has also made available for the benefit of the robotics community.
Towards Efficient Federated Learning Using Agile Aggregation in Internet of Vehicles

Federated learning is an enabling technology for the services in Internet of vehicles because it can effectively alleviate privacy issues in data circulation and diversified intelligent applications. However, existing federated learning methods still confront the problem of low computational efficiency when applied to the scenario of high-dynamic vehicles. In order to address this problem, we present a multistep federated learning architecture including task release, vehicle model training, identity authentication, quality assessment, and weighted aggregation processes, where a novel agile aggregation model is established. Based on the agile aggregation model, an efficient federated learning (EFL) algorithm is proposed, which is specifically applied to the scenario of high-dynamic vehicles during the training model. We theoretically analyze its advantages over the existing traditional federated learning algorithms in terms of efficiency, training accuracy, and security. Simulations are conducted using the MNIST dataset to evaluate the performance of the proposed EFL algorithm. The results show that EFL improves the efficiency of the federated training process with effective accuracy and privacy preservation.
Intellectual Property Protection of Digital Cultural Heritage

Use of information and communication technologies are becoming a crucial part of our lives, which creates new opportunities for promoting Cultural Heritage through digital technologies and the internet. Use of techniques for intellectual property protection of digital content by cultural heritage institutions has gotten little attention up to this point. As technology evolves rapidly, concerns about protecting intellectual property have arisen, as digital content could be modified using freely available software. The paper focuses on watermarking techniques that could be used in the digitization process and analyses of algorithms for protecting intellectual property of digital heritage content.
Electronic Repository of Educational Materials on the Topics “Rehabilitation in Post-COVID” and “Neurorehabilitation in Neuro-COVID”: Structure of the Course and Analysis of Learners’ Opinion

The pandemic of COVID-19 imposed the necessity to develop the competences of medical specialists and health professionals on the topic “COVID-Rehabilitation”. We prepared educational materials and an electronic repository, including these topics. The current article presents the structure of the course and the learners’ opinion on the benefits of the educational module.
Online Database of 14 th -century South Slavonic Manuscripts. Research Results and Perspectives

This paper shares the experience of the Kopisti14 project team in achieving a common interdisciplinary scientific result through active collaboration between philologists and computer scientists, each contributing according to their expertise. Some early results of this collaboration are presented. They show how the data collected and processed together offer some interesting insights and raise questions for future research.
SimilarNet: Pairwise Similarity Comparator Layer for Versatile Comparison

&lt;p&gt;This paper proposes a specialized artificial neural network layer named SimilarNet, designed to compare two feature vectors while considering the positions of their elements to produce an output in a vector format. By leveraging the advantages of the cosine similarity and concatenation layer, SimilarNet can effectively compare two vectors, enabling the construction of trained comparison models using multidimensional activation functions. In addition, SimilarNet can realize 1:1 comparisons of data with different shapes, unlike cosine similarity.&lt;/p&gt;
Towards an Augmented Reality Game for Learning about Ivan Vazov's Literary Works

This paper presents a concept for a serious game based on an augmented reality representation of a mural artwork located in the National Library “Ivan Vazov” in Plovdiv, Bulgaria. The mural features the renowned Bulgarian author Ivan Vazov in the center, surrounded by characters from his literary works. By using a head-mounted display in front of the mural, the players would see movement of the characters and will be able to interact with them in a gamified augmented reality environment. The serious game proposed in this paper offers a solution to the engagement of players with literature and textual heritage within a broader cultural context.
IMPROVING COMPOSITION ABILITY THROUGH SERIES IMAGE MEDIA IN BIPA LEARNING TO MALAY-INDONESIA STUDENTS OF HANKUK UNIVERSITY OF FOREIGN STUDIES SOUTH KOREA

This classroom action research aims to improve the ability to compose through serial image media in learning Indonesian for foreign speakers of Korean for the first time in an audiovisual course for 4th semester students. This research conducted on 30 semester 4 students, consisting of 15 male students and 15 female students. The learning used in this research is classroom action research with the Kemmis and McGartgart spiral model. Improved test scores compose of initial requirement of cycle I to cycle III is the average value at the beginning conditions was 59.67 with a completeness percentage of 43.33% (13 students), in cycle I it increased to 65.33 with a completeness percentage of 60% ( 18 students), in cycle II it increased to 72 with a completeness percentage of 73.33% (22 students) and in cycle III it increased to 75.66 with a completeness percentage of 86.66% (26 people). The results obtained from the class action research on 30 students, namely by increasing the average value of the initial conditions of 59.67 increased to 65.33 in cycle I, in cycle II increased to 72 and in cycle III increased to 75.66. It can be concluded that serial picture media in Indonesian language learning for foreign speakers of composing material can improve the writing ability of Malay-Indonesian study program students. Educators can use serial picture media as learning media which can improve students' composing abilities, so that students can easily develop ideas. or his mind in composing.
INSPIRE: Instance-Level Privacy-Pre Serving Transformation for Vehicular Camera Videos

The wide spread of vehicular cameras has raised broad privacy concerns. Ubiquitous vehicular cameras capture bystanders like people or cars nearby without their awareness. To address privacy concerns, most existing works either blur out direct identifiers such as vehicle license plates and human faces, or obfuscate whole video frames. However, the former solution is vulnerable to re-identification attacks based on general features, and the latter severely impacts utility of the transformed videos. In this paper, we propose an INStance-level PrIvacy-pREserving (INSPIRE) video transformation framework for vehicular camera videos. INSPIRE leverages deep neural network models to detect and replace sensitive object instances in vehicular videos with their non-existent counterparts. We design INSPIRE as a modular framework to enable flexible customization of protected instance categories and their protection modules. An implementation of INSPIRE focused on protecting people and cars is described, which we tested on six re-identification datasets and three real-world vehicular video datasets to evaluate its privacy protection and utility preservation capability. Results show that INSPIRE can thwart 97% of re-identification attacks for people and cars while maintaining a 0.75 object detection mean average precision on transformed instances. We also demonstrate experimentally that INSPIRE is robust against model inversion attacks. Compared to solutions that provide comparable privacy protection, INSPIRE achieves relatively 1.76 times higher counting accuracy and 31.61% higher object detection mean average precision.
A Dynamic and Collaborative Deep Inference Framework for Human Motion Analysis in Telemedicine

Human pose estimation software has reached high levels of accuracy in extrapolating 3D spatial information of human keypoints from images and videos. Nevertheless, deploying such intelligent video analytic at a distance to infer kinematic data for clinical applications requires the system to satisfy, beside spatial accuracy, more stringent extra-functional constraints. These include real-time performance and robustness to the environment variability (i.e., computational workload, network bandwidth). In this paper we address these challenges by proposing a framework that implements accurate human motion analysis at a distance through collaborative and adaptive Edge-Cloud deep inference. We show how the framework adapts to edge workload variations and communication issues (e.g., delay and bandwidth variability) to preserve the global system accuracy. The paper presents the results obtained with two large datasets in which the framework accuracy and robustness are compared with a marker-based infra-red motion capture system.
An Experimental Pipeline for Automated Reasoning in Natural Language (Short Paper)

Abstract We describe an experimental implementation of a logic-based end-to-end pipeline of performing inference and giving explained answers to questions posed in natural language. The main components of the pipeline are semantic parsing, integration with large knowledge bases, automated reasoning using extended first order logic, and finally the translation of proofs back to natural language. While able to answer relatively simple questions on its own, the implementation is targeting research into building hybrid neurosymbolic systems for gaining trustworthiness and explainability. The end goal is to combine machine learning and large language models with the components of the implementation and to use the automated reasoner as an interface between natural language and external tools like database systems and scientific calculations.
Textural and genetic investigations of gold mineralization in fault-controlled quartzcarbonate veins in Bayburt-Zarani area (Eastern Pontides-NE Turkey)

The Eastern Pontides Orogenic Belt (EPOB), geographically corresponding to the northeastern part of Turkey hosts several different types of mineralizations that are closely related to Late Mesozoic-Early Cenozoic arc magmatism. Of these, Zarani gold mineralization, which is located in the southern part of the EPOB occurs as quartz-carbonate veins/veinlets within the Pulur metamorphic massif of Paleozoic age. Mineral textures indicate low-temperature vein-type mineralization. Gold mainly occurs in quartz and pyrite. The presence of calcite, dolomite, and sericite in the mineralization indicates near neutral pH conditions of ore-forming fluid. Geochemical analyses of chlorites in the quartz-carbonate veins reveal a temperature of ore formation at 140-297 °C, which is compatible with those obtained from fluid inclusions in the mineralized quartz (i.e. 132-226 °C). The average salinity value obtained from fluid inclusions is 4.32% NaCl equiv. O and H isotope values range from -6.03 °C to +1.47 °C and from -60 °C to -119 °C, respectively, indicating a mixture of magmatic and meteoric fluids. Mixing is also evidenced by the XFe analytical data of hydrothermal chlorites associated with ore-forming gangue minerals. Gold precipitation in Zarani mineralization is caused by boiling. The occurrence of mineralization within quartz-carbonate vein/veinlets in metamorphic host rocks, the mineral paragenesis with near-neutral pH conditions of the ore-forming low salinity fluids and the H-O isotopic data imply that the Zarani gold mineralization is an orogenic type epithermal mineralization that may be related to deeply buried Early Cenozoic felsic intrusions, produced by subduction-induced processes in the southern part of the EPOB.
INTERACTION WITH MUSIC IN THE MODERN WORLD: INTEGRAL PRACTICES

The article is devoted to the interaction between humans and music in the modern world. The Integral Musical Personality Model is a new approach to the study of the impact of music on human consciousness. In this work, it is proposed to consider music as a tool for self-knowledge, which allows people to better understand themselves, their values, and goals. The personality model is based on the idea that a person is a complex system consisting of different levels of consciousness. Each level is responsible for certain functions and experiences. For example, the cognitive level is responsible for thinking and rational thinking, the value level is responsible for emotions and feelings, and the spiritual level is responsible for higher spiritual experiences. Music can influence these levels of consciousness and activate them. For example, certain musical pieces can activate the cognitive level, promoting creative thinking and problem-solving. Other musical pieces can activate the value level, causing emotional and spiritual experiences. Individual musical collections can help people to better understand themselves, raise their level of consciousness and achieve spiritual growth - this is shown in the form of integral practices that a person can use today. This practice is based on the work of Ken Wilber, who developed a theory of integral consciousness.It has been applied to a variety of settings, including education, therapy, and personal development.It has the potential to be a valuable tool for understanding and using music in our lives.
SISTEM INFORMASI PENGOLAHAN ASET DESA PADA KANTOR DESA MANDIANGIN TUO

Village assets are village assets originating from the village's original assets, purchased orobtained at the expense of the Village Revenue and Expenditure Budget (APBDesa), Village Asset Management at the Mandiangin Tuo Village Office is carried out by recording it on paper and storing it in a special village file cabinet. This causes many errors to occur, and spend a lot of time searching for the data. In order for inventoryrecords and goods mutations to be more precise and accurate and easier to do in recording the existence of these goods,the Mandiangin Tuo Village Officer equires an application in the form of a website.
Development of Foreign Language Teaching Material Based on Higher Order Thinking Skills (HOTS) to Increase Students’ Literacy Skills

Abstract. The purpose of this study is to develop an foreign language teaching material based on Higher Order Thinking Skills (HOTS) and to investigate the impacts of the implementation of the teaching material in increasing students’ literacy skill. This study used research and development approach by adopting ADDIE model which consisted of 5 steps (Analyze-Design-Develop-Implement-Evaluate). The participants of the study were 25 students who took General Writing and Reading course in the English Literature study program in the fifth semester. An assent form was given to all the participants. Data were collected by using study test results, scale and interview. The data of the study were 1) the results of validation test from five expert validators regarding the teaching material being developed, 2) the results of students’ study test comprised of writing and reading tests, and 3) qualitative data regarding students’ responses to the teaching material being developed. The data were analyzed using descriptive statistics and inferential statistics. Descriptive statistics were used to make categorization of pre-test and post-test scores, while inferential statistics were used to analyze the paired sample t-test to know if there was a significant difference between pre-test and post-test. The results of the study showed that the implementation of HOTS-based teaching material being developed had positive impacts significantly on the improvement of students’ literacy skill, which were in this regard the results of learning General Writing and Reading course. Students responded favorably to the implementation of the teaching material because it allowed them to think critically and creatively. Keywords: Teaching material, Foreign language teaching, Higher Order Thinking Skills (HOTS), Studens’ literacy skill.
Nature-Based Learning in Improving Student Learning Achievement: A Systematic Literature Review

This study aims to conduct a literature study on nature-based learning for English subjects. The research method used is Systematic Literature Review (SLR). In this study data collection was carried out by reviewing books, articles and journals. Based on this research it was found that nature-based learning can make students free to explore and interact directly with the environment. This makes students not only accept but become actors in the learning process. The results of the study also show that the use of nature- and environment-based learning models has proven effective in increasing English vocabularies and improving language skills, namely listening, reading, writing, and speaking. The results of the study show that the use of nature and environment-based learning is proven to be able to improve the results of mastery of English vocabulary well and is proven by the increase in the results of students' learning achievement.