Reviewerly/exHarmony huggingface dataset:
Motivation to Read and Parental Support: Implications to the Grade Six Student’s Reading Comprehension

Any Filipino child with sufficient reading motivation and parental support would have greater chances of success in school. This descriptive correlational study sought to determine if there is an association among the participants’ reading comprehension level, their level of motivation to read, and the extent of their parents’ support in reading. Fifty (50) Grade 6 pupils from a public school in the division of Misamis Oriental were the participants. Researcher-made and validated instruments were utilized to gather the data. The research instruments were pilot tested on 30 pupils in a nearby school which yielded reliable results in terms of its Cronbach Alpha. Descriptive statistics and Spearman Rho were used to analyze the gathered data. The study revealed that the participants’ level of motivation to read and the extent of their parental support were generally high. The reading comprehension level in all components, identifying the main idea and key details, sequencing a passage into an ordinal series, making inferences, and identifying unfamiliar vocabulary was fair. Data also showed that the participants’ motivation for reading and the extent of parental support is not significantly associated with their reading comprehension skills. The results point to the need for teachers and educational leaders to design appropriate, effective, and research-based interventions to arrest the low reading comprehension performance of the students. &#x0D;
INTELLECTUAL-COGNITIVE CHARACTERISTICS AND INTERPRETIVE COMPETENCE OF THE INDIVIDUAL: ANALYSIS BASED ON THE MATERIALS OF THE EXPERIMENT

The work is devoted to the problem of intellectual and cognitive factors and components of the interpretive competence of the individual. From this point of view, the materials of the previously conducted experiment are analyzed. The purpose of the experiment was to reveal tendencies to correlate the level of formation of human interpretive processes with the level of development of the main metacognitions: intellectual initiation, strategicness, reflection and decentration. The analysis confirmed the leading role of these intellectual and cognitive abilities of an adult in terms of the role in the formation of his interpretive potential. The role of each of the metacognitions in terms of meaning-making or meaning-perception processes in the context of human interpretive skills is analyzed. The correlations of individual components of each metacognition with the development of interpretability in a person are monitored and some phenomena revealed during the survey are analyzed. This concerns such qualities as independence, planning, programming, modeling, evaluation of results, readiness for self-development, reflexivity, subjective quality of choice, dialogicity of interpersonal relations. It was concluded that required components of an adult's interpretive competences are the development of mechanisms for evaluating results, thoroughness, independence and satisfaction with choices, readiness for self-development. A higher level of formation of interpretive mechanisms in an adult correlates with more productive reflection (systemic) and fewer manifestations of unproductive (introspection and quasi-reflection), as well as a higher level of indicators of dialogicity, self-value and constructiveness of interpersonal relations, which indicates the development of decentration. Constant configurations of metacognitions have been revealed, which can be considered hypothetical factors of influence on a person's interpretive capabilities. The main axes of contrasting existing metacognitive skills as levers of influence on the formation of interpretive processes of adults are: (a) presence of most metacognitive skills in a person – lack of competence in most metacognitions and (b) reflexivity – non-reflexivity of a person.
Art History and Augmented Reality: Designing Virtual Art Exhibitions in the Classroom

XR (Extended Reality) technologies are developing into an important tool for the study of art history and this article details the innovative teaching strategies and learning outcomes associated with a course taught at the University of Miami in Spring 2020 entitled "Art History and Augmented Reality." 1 The students participating in the course were all part of the da Vinci Scholars program that brings together talented undergraduates who have an interest in the intersection of science, technology, and the arts.The students were given the task of creating a virtual art exhibition that could be experienced using the Magic Leap Augmented Reality headsets.The starting point of each exhibition was an ancient artwork from the Antiquities Gallery of the Lowe Art Museum at the University of Miami but the students were given free rein to determine the theme and content of the exhibition.The innovation in this project lies in the definition of students in art history as makers; in this activated learning environment, they devised the content and designed the application itself.The interdisciplinarity of the faculty was also innovative, as specialists in art history, user interface design, project management, computer vision, and software engineering all collaborated and shared instructional duties throughout the course.Through this process, the students were empowered to take the skills they acquired and apply them to similarly complex problems and projects at the university and beyond in their professional careers.
XML CLUSTERING FRAMEWORK BASED ON DOCUMENT CONTENT AND STRUCTURE IN A HETEROGENEOUS DIGITAL LIBRARY

As textually published information is increasing in digital libraries, efficient retrieval methods are required. Textual documents in a digital library are available in various structures and contents. It is possible to represent these documents with hierarchical levels of granularity when these are organized in XML structure to improve precision by focused retrieval. By this means, contextual elements of each document can be retrieved from a known structure. One solution for retrieving these elements is clustering from a combination of Content and Structural similarities. To achieve this, a novel two-level clustering framework based on Content and Structure is proposed. The framework decomposes a document into meaningful structural units and analyzes all its rich text in its own structure. The quality of the proposed framework was experimented on a heterogeneous XML document collection, having varieties of data sources, structures, and content, be represented as a sample of a real digital library. This collection was made with capabilities to test all of our objectives. The clustering results were evaluated by the Entropy criterion. Finally, the Content and Structure clustering was compared with the usual clustering based on the Content Only to prove the efficacy of considering structural features against the existing Content Only methods in the retrieval process. The total Entropy results of the two-level Content and Structural clustering are almost twice better than the Content Only clustering approach. Consequently, the proposed framework has the ability to improve Information Retrieval systems from two points of view: i) considering the structural aspect of text-rich documents in the retrieval process, and ii) replacing the document-level retrieval with the element-level retrieval.
Sistem Klasterisasi Volume Sampah Organik di Kota Magelang menggunakan K-Means

Waste is one of the most serious problems faced by many regions. In Magelang City alone, 70 tons of waste is generated per day, and 60% of it is organic waste. Business sectors such as restaurants, culinary tours, markets, and hotels are high producers of organic waste. Organic waste can be utilized and sorted to be useful for maggot farmers, compost and biogas makers, but the lack of information about the source and availability of this waste is an obstacle for organic waste users and the Environmental Service. The purpose of this research is to assist the Environmental Agency in planning waste transportation, as well as making it easier for organic waste users to get information about the waste. In this study, the data used is waste volume data and data on the number of visitors and traders in hotels, markets, and street vendors in Magelang City, the data is then processed using the K-Means clustering algorithm. The data that has been processed produces the optimal number of clusters is 2, cluster 1 is a low waste volume producing category, while cluster 2 is a high waste volume producing category. After obtaining the clustering results using the K-Means algorithm, an evaluation of the results was carried out using the silhouette score method which resulted in a score value of 0.66, from the evaluation results it can be concluded that the application of the K-Means algorithm in clustering the volume of organic waste in Magelang City is quite good. With these results, it is hoped that it can help the Magelang City government, especially the Magelang City Environmental Agency, maggot cultivators, and other organic waste users to more easily obtain information about the availability of organic waste, which is expected to help reduce the volume of organic waste.
WG-Storm Scheduler for Distributed Stream Processing Engines

Abstract Stream Processing Engines (SPEs) allow applications to process a large amount of data in real-time. However, to schedule big data applications; the SPEs create several challenges in terms of load balancing, resource utilization, etc. As the volume of data increases over time, it also poses a challenge to predict the resource and application requirements for processing. All these factors play an important role, they can cause problems in achieving maximum throughput due to inefficiency in any of them. Most SPEs ignore the topology, which may minimize throughput during scheduling and may increase network latency. In this paper, we proposed a topology-aware and resource-aware scheduler (named WG-Storm) based on Directed Acyclic Graph (DAG) that enhances the resource usage and overall throughput using efficient tasks assignment. WG-Storm is built on Apache Storm and results are generated using the 2 linear topologies and compared with the 5 state-of-art schedulers including the (A3-Storm, Default, Isolation, Multi-tenant, and Resource-aware). Results have shown up to 30% throughput improvement using minimum resource usage in heterogeneous clusters.
LEGAL NORMS ON THE PROTECTION OF COPYRIGHT AND RELATED RIGHTS IN THE DIGITAL ENVIRONMENT IN THE LEGISLATION OF UZBEKISTAN AND INTERNATIONAL TREATIES

The article deals with the problems associated with ensuring the legal protection of objects of copyright since the last quarter of the twentieth century and related rights in information and communication networks and, in turn, issues related to the constant maintenance of a balance between authors (right holders) and users are discussed. It is known that in 1996 the World Intellectual Property Organization adopted 2 important documents - “Internet Treaties” - to ensure the legal protection of copyright and related rights on the Internet. It was the adoption of these documents that had a serious impact on the countries of the world, making the necessary changes to their national copyright laws. At the same time, in the last 20-30 years, the rules for ensuring the copyright protection and related rights in the digital environment have taken place among other international and regional documents related to the field. It should be noted that the national copyright legislation of Uzbekistan also reflects the norms of the legal protection of works on the Internet and telecommunication networks. The article discusses these aspects and the problems of applying existing norms in practice. Theoretical and comparative analyzes were also carried out based on the norms of international conventions (“Bern Convention”, “Rome Convention”) and agreements (“WIPO Internet treaties”, TRIPS Agreement) and doctrinal sources. The article also discusses the analysis of such concepts as “the digital environment”, “digital technologies”, “multimedia”, and “cyber environment” and their essence. As a result of discussions, conclusions are drawn about the need to ensure the protection of copyright and related rights in the digital environment in Uzbekistan, legal mechanisms, issues of the practical application of the norms of “Internet contracts”, and the role of organizations managing property rights on a collective basis.
Research on the Investment Value of Cryptocurrency and Blockchain Technology

Blockchain fundamentally alters the digital world by introducing fresh ideas on efficiency, security, and safety. Data and system stability. Blockchain is a digital public ledger that is decentralized, unchangeable, and open to all stakeholders. Blockchain has many applications, including NFT, cryptocurrency, metaverse, Defi, etc. Cryptocurrency is a type of digital money that operates independently from the government or banks and is intended to be used as a medium of exchange across computer networks. This paper introduces blockchain technology, discusses whether there are bubbles inside the cryptocurrency, and gives investment advice based on cryptocurrency and blockchain.
DEVELOPMENT OF THE EDUCATIONAL ENVIRONMENT OF THE UNIVERSITY IN THE CONDITIONS OF MODERN REALITY

The article reveals the main trends in the development ofthe educational environment of the university in the conditions of modern reality. The dominant role of digital technologies is considered. The importance of various subcultures in the development of universities is noted. The attention is focused on certain aspects offurther successful functioning.
How Does Problem Based Learning Work on Students' Writing Ability? (CAR Study)

The problem-based learning method is one of the methods that can be applied in EFL classes, especially for students' writing skills, so that it can create a pleasant learning atmosphere and make learning more active in classroom learning activities. The problem-based learning model is one of the learning models that can shape scientific behavior, social actors, and develop students' curiosity. Learners are initially faced with a problem, then followed by a student centered information search process. Seeing the importance of this method, this study aims to see the extent to which the PBL method can improve students' ability to write Narrative text. With Classroom Action Research design, this study was applied to 20 students of class X. In collecting data, tests were used to obtain an overview of student achievement, each of which was given in each cycle. The results of this study show that PBL can improve students' narrative text writing skills, this can be seen from the percentage of student results in each cycle. In addition to making the classroom atmosphere active and participatory, PBL also makes students think more critically in solving their problems. Students are required to be able to solve their problems both individually and in groups. Seeing the important role of this PBL method, the results of this study can be used as starting points or corrections for further research
Increasing Students’ Speaking Skill Through Narrative Storytelling At Smp Muhammadiyah 2 Cirebon

ABSTRACT&#x0D; Storytelling is a technique to increase monologue speaking skill. Some types of text can be used in storytelling such as recount, and narrative text. The writer used narrative story for this research because the students learnt the importance of how to communicate ideas and interact with the others completed by moral message on it. They developed their vocabulary and learnt how to use and express the words and sentences. The objectives of this research are to determine (1) whether the use of narrative storytelling increase the eighth grade students’ speaking skill (2) to describe how the students’ responses after they learnt storytelling. The population of this research is the eighth grade of SMP Muhammadiyah 2 Cirebon. The writer used pre-experimental research in finding her research. One group pretest-posttest design from McMillan (2001) was used in this research in order that she chose the eighth grade A for her sample in this study. A test and some question in interview were given to them. The data was analyzed by t-test formula from McMillan. The writer got t-acount (4.2987) is higher than t-table (2.0281), the distinction between t- a and t-t was about 2.2706. The data proved through testing of hypothesis was accepted that there was the increasing of students’ speaking skill after storytelling was used in teaching speaking to the eighth grade of SMP Muhammadiyah 2 Cirebon. The students’ responses after they learnt storytelling, all of them were excited in spite of lack of vocabulary, applied past tense, and how to express and intonation the certain words correctly were the problems for most of the students in storytelling. The writer gave motivation, stimulation, and media of teaching to support speaking skill study.&#x0D; Key words: Storytelling, Narrative, and Speaking Skill
Tanggapan Mahasiswa Hukum Unisba Terhadap Website Lembaga Bantuan Hukum Bandung

The research entitled Responses of Unisba Students to the Bandung Law Institute Website (Case Study on the Bandung Legal Aid Institute's Website www.lbhbandung.org) was driven by the development of information media, especially websites. This study aims to determine the responses of Unisba students to the LBH Bandung website by observing the object of research, namely the Bandung Legal Aid Institute Website regarding content quality, content availability, message content consistency and visual appearance of the Bandung Legal Aid Valley website. This research uses a qualitative descriptive method and a collection method with interviews, observation, and literature studies. The results showed that the majority of respondents stated that the information about LBH Bandung organizations displayed on www.lbhbandung.org was in accordance with the needs of visitors. This is because on this website all information related to LBH Bandung from history, organizational profiles, cases that have been resolved, organizational structure and anything related to LBH Bandung's organization has been displayed in full according to the needs of visitors. The results showed that the quality of the message content, the availability of the message content, the consistency of the content and the visual appearance of the website greatly influenced the positive response and attractiveness of website visitors, especially students.
Affective factors influencing students’ second language acquisition during the war

The article focuses on the impact of affective factors on second language acquisition during the Russia-Ukraine war and the impact it has on the Ukrainian education system. The study aims to investigate how emotions such as anxiety, stress, and depression impact language learning and to identify tools for educators to measure the affective filters of students. The study is based on Krashen's Affective Filter Hypothesis and adopts a qualitative phenomenological design. The data was collected from 32 Bachelor students at Taras Shevchenko National University of Kyiv through an online multidimensional Anxiety-Stress-Depression Test and open-ended questions. The results indicate that the students’ emotional state, such as increased levels of anxiety, has a significant impact on their language learning performance and reduces their cognitive resources for focus and learning. The study highlights the importance of considering students’ affective factors in language teaching and the role of teachers in creating a supportive and collaborative learning environment to reduce anxiety and promote self-efficacy. The conclusion emphasizes the complexity and uniqueness of each student’s experience and the need for appropriate supports to mitigate the effects of adversity and promote positive potential.
Transforming to Yoked Neural Networks to Improve ANN Structure

Most existing classical artificial neural networks (ANN) are designed as a tree structure to imitate neural networks. In this paper, we argue that the connectivity of a tree is not sufficient to characterize a neural network. The nodes of the same level of a tree cannot be connected with each other, i.e., these neural unit cannot share information with each other, which is a major drawback of ANN. Although ANN has been significantly improved in recent years to more complex structures, such as the directed acyclic graph (DAG), these methods also have unidirectional and acyclic bias for ANN. In this paper, we propose a method to build a bidirectional complete graph for the nodes in the same level of an ANN, which yokes the nodes of the same level to formulate a neural module. We call our model as YNN in short. YNN promotes the information transfer significantly which obviously helps in improving the performance of the method. Our YNN can imitate neural networks much better compared with the traditional ANN. In this paper, we analyze the existing structural bias of ANN and propose a model YNN to efficiently eliminate such structural bias. In our model, nodes also carry out aggregation and transformation of features, and edges determine the flow of information. We further impose auxiliary sparsity constraint to the distribution of connectedness, which promotes the learned structure to focus on critical connections. Finally, based on the optimized structure, we also design small neural module structure based on the minimum cut technique to reduce the computational burden of the YNN model. This learning process is compatible with the existing networks and different tasks. The obtained quantitative experimental results reflect that the learned connectivity is superior to the traditional NN structure.
HOW ANXIETY AFFECT ENGLISH ACHIEVEMENT?: A CORRELATIONAL STUDY OF INDONESIAN EFL LEARNERS

English is the language of communication used throughout the world, the ability to speak English is the main priority of many languages studied by students today. One of the factors that prevent students from speaking English is anxiety. This study aims to determine the level of students' anxiety in learning English, the level of anxiety of students' academic achievement and the relationship between students' anxiety with the process of learning English and their achievement in the learning process. The method used in this study is qualitative with a descriptive approach. This study was conducted to 41 students of grade XI of X enrolled in the second semester of academic year. Results showed that the students’ anxiety in learning English was moderate (M=3.17) and their English academic achievement was categorized as failed (M=70.98). Finally, it was found that there was a significant correlation between students’ anxiety in learning English and their English achievement as the result p = .00 &lt;0.05, r= .98. Therefore, it is recommended that teachers try to find more creative methods and strategies to support and motivate the students in learning English
Development of Mathematics Educational Games Through PowerPoint for Early Childhood

This research has entitled the development of mathematics educational games in the form of power points for children aged 5-6 years to produce learning media that attract children's interest in mathematics learning at Muthiah Islamic School Kindergarten, Kayuagung. This development uses a combination of the Alessi &amp; Trollip model and formative evaluation from Tessmer. Data collection techniques use expert reviews, interviews, and observations. The results showed that the one-to-one evaluation stage obtained an average of 86% of children's observation results on eight themes with very good categories, so the product was declared practical and easy to use for children. Meanwhile, in the small group evaluation stage, the average results of children's observations on eight themes were obtained by 92% with excellent categories. From all the stages that have been carried out, it can be concluded that mathematical educational games in the form of power points are declared valid and practical for children.