Reviewerly/exHarmony huggingface dataset:
Anomaly Detection in Cloud Components

&lt;p&gt;Today’s smart connected world is all about devices, data and connectivity. Cloud computing has been introduced to support the rapidly growing technological demand by providing ﬂexibility, efﬁciency, mobility, robustness and disaster recovery mechanism to individuals and businesses. Cloud platforms, under the hood, consist of a complex inter-connected stack of hardware and software components. Each of these components can fail, which may lead to an outage. Therefore, anomaly detection accuracy plays a vital role in effective system operation management, which is the key to ensure stability and performance. Our goal is to improve the quality of Cloud services through early detection of such failures by analyzing resource utilization metrics. In this thesis, we constructed a Gated-Recurrent-Unit-based autoencoder to generate reconstruction errors and computed the likelihood of anomalies based on the distribution of reconstruction errors. The combined approach enables efﬁcient detection of abnormalities in multi-dimensional telemetry time-series gathered from a private Cloud.&lt;/p&gt;
The Power of Trendy Flash Intro Builder 1.0 in the Teaching of Grammar

The purpose of the study was to look into the effectiveness of Trendy Flash Builder 1.0 software in teaching grammar. This study used a non-random sample of students from all demographics and a non-randomized pretest-posttest control group design. The subject of the study was implemented in the English department of UNIPA Blitar. The research subject for this study was a student from two classes, IA and IB, from which the treatment class was drawn at random. Class IB was the experimental group, receiving Trendy Flash Builder 1.0 software as a teaching medium, whereas Class IA was the control group, receiving no teaching media. As these groups differed on several parameters, ANCOVA was employed to try to reduce some of these disparities. As a result of data calculations, the research hypothesis was confirmed. It is possible to infer that Trendy Flash Builder 1.0 software as a teaching medium can have a significant impact on students' grammar achievement.
Identifikasi Kebijakan Digitalisasi dan Ketimpangan Pendidikan (Studi Kasus Guru Sekolah Dasar Kecamatan Raba Kota Bima)

Digitalization is one of the Indonesian government's efforts to equalize access to education and reduce the problem of the digital divide in the educational context. This article aims to explore the extent to which digitalization policies have helped teachers in elementary schools in Raba District, Bima City to improve access to and quality of education and overcome their digital disadvantages. The method used in this research is qualitative with a case study approach. The respondents of this study were 13 teachers from 4 elementary schools, 1 school principal, and 1 elementary school supervisor. Data was collected through in-depth interviews and documentation. The results of this study indicate that there are two aspects of education digitalization policies that directly affect respondents. The first is the digitization of educational policy communications. In this aspect, teachers experience accelerated access to information about education policies and information in general. Teachers have a better understanding of national education policies and are able to follow direct directions from the central government through available information channels. In the second aspect, namely the digitalization of the teaching and learning process, teachers have not utilized the digital facilities provided to maximize the learning process even though they are aware that the government provides these facilitie.
MATHEMATICS LEARNING PROCESS AND RESULTS OF ELEMENTARY SCHOOL STUDENTS IN LIMITED FACE-TO-FACE LEARNING

The aim of the research is to analyze the learning process and the learning outcomes of students in limited face-to-face learning. The research method used was descriptive qualitative, the research subjects were class V teachers and fifth grade students. The research instruments used were interview text, observation, documentation. The validity of the data obtained was tested using the triangulation test, and the analysis process used the Miles and Huberman model, namely data reduction, data presentation and conclusion. The results of the study show that the implementation of limited face-to-face learning at elementary school is carried out in compliance with health protocols. The learning process in the classroom the teacher explains the material briefly, concisely and clearly, after that gives examples of practice questions to students. In the learning activities the teacher uses the talking stick learning method, lectures and explanations of sample questions. The learning activities in the class are quite active, and the learning outcomes achieved by students have been able to reach the specified KKM. However, in the learning process it is still teacher center, so it needs to be developed into a student center so that the learning process is more meaningful for students. So that students are given the freedom to explore knowledge independently more deeply and improve self-quality.
Optimized Secure Federated Learning for Event Detection in Big Data using Blockchain Mechanism

Currently, cloud storage in blockchain and federated learning technology provides better security among data transmission and file access.But, in some of the cases, security issues arose.So, to avoid security problems and offer better protection in a cloud environment, a novel optimized buffalo-based Homomorphic SHA blockchain (OBHSB).In this model for accessing the cloud storage data with the key matching method, if any of the unauthenticated users are trying to access the file initially, the system checks the key matching parameter.The proposed model was developed to provide better security in big data presented in the cloud environment.However, the parameters in the proposed model were compared with the existing models to make sure better performance was attained through the proposed model.Attack was considered as an event in this research.In the performance analysis, the performance rate of the proposed model was validated.Subsequently, the case study was developed in this research to explain the working procedure of the proposed design; model performs hashing, encryption, decryption, and key matching mechanisms.The results proposed model is observed to have 100% confidentiality rate after attack.
Mask R-CNN Approach to Real-Time Lane Detection for Autonomous Vehicles

The accurate and real-time detection of road lanes is crucial for the safe navigation of autonomous vehicles (AVs).This paper presents a novel approach to lane detection by leveraging the capabilities of the Mask Region-based Convolutional Neural Network (Mask R-CNN) model.Our method adapts Mask R-CNN to specifically address the challenges posed by diverse traffic scenarios and varying environmental conditions.We introduce a robust, efficient, and scalable architecture for lane detection, which segments the lane markings and generates precise boundaries for AVs to follow.We augment the model with a custom dataset, consisting of images collected from different geographical locations, weather conditions, and road types.This comprehensive dataset ensures the model's generalizability and adaptability to real-world conditions.We also introduce a multi-scale feature extraction technique, which improves the model's ability to detect lanes in both near and far fields of view.Our proposed method significantly outperforms existing state-of-the-art techniques in terms of accuracy, processing speed, and adaptability.Extensive experiments were conducted on public datasets and our custom dataset to validate the performance of the proposed method.Results demonstrate that our Mask R-CNN-based approach achieves high precision and recall rates, ensuring reliable lane detection even in complex traffic scenarios.Additionally, our model's real-time processing capabilities make it an ideal solution for implementation in AVs, enabling safer and more efficient navigation on roads.
Application of audio technology of Internet of Things based on parallel storage system in music classroom

Hard disk not only has powerful storage capacity but also has highly intelligent interface and convenient application design. In daily life, hard disk is a very suitable tool for data collection and storage. The performance of hard disk is better when the number of samples is not too many, the sampling rate is low, and the number of sampling paths is small. However, when faced with some complex problems with high sampling rate and multiple paths, high-speed data storage will face greater difficulties. Therefore, this paper introduces a parallel storage system, and discusses the basic structure and the implementation of the system the factors that affect the storage rate, the specific structure of the data acquisition system in the system, which is subdivided into the structure of the power supply, data acquisition, caching and sorting and so on. With the support of parallel storage system, this paper summarizes some basic characteristics of audio, and focuses on the decisive role of hard disk in audio interactive system. In the process of research, it is found that the hardware system based on parallel storage system has many advantages, such as low consumption, small volume, high performance and low cost, which can achieve the research goal well. In recent years, the Internet of Things has been widely used in many fields. Scientists have long explored the application of the Internet of Things technology in the construction of contemporary mobile multimedia audio system, so that the multimedia video communication system can achieve intelligent development, and at the same time to realize its performance optimization, the price of the Internet of Things audio technology can be reduced. In this paper, combined with the advantages of parallel storage system, the application of Internet of Things audio technology in music classroom will be discussed to improve the efficiency of music teaching and students' music literacy.
Perancangan Stasiun Isi Ulang Air Minum BXCan

The existence of public facilities in the Mal aims to provide convenience and satisfaction for Mal visitors. BXC Park is a public space facility used by visitors as a place to exercise and relax. Activities carried out by visitors at BXC Park tend to be draining so that the body will feel thirsty and need fluid intake. However, there is no access for visitors to get drinking water in the BXC Park area. This research was created to provide solutions to the problems experienced by BXC Park visitors so that sports activities become more effective. The method used in carrying out this research begins with observing the problems found in BXC Mal, identifying BXC Mal visitor activities, and in the final stage is determining what kind of tools can facilitate access for Mal visitors to get drinking water after exercising. The final result obtained is to design a BXCan drinking water refill station that complies with post-pandemic standards.
Indonesian and Egyptian EFL university students’ difficulties in reading comprehension

Comprehension is an important aspect of every reading activity. Through reading comprehension, readers can understand the content or passage of a text. Nevertheless, many students still experience the difficulties in their English reading comprehension. This study aimed to reveal the Indonesian and Egyptian EFL university students’ difficulties in reading comprehension as well as its causative factors. This study involved two EFL students who are majoring in English Education in semester five. This study used a qualitative method with a narrative inquiry design. To collect the data, the researcher implied a semi-structured interview.. . This study helped to develop the theory of Nuttall (2008) and Alderson (2005) about the difficulties in reading comprehension and the causative factors of difficulties in reading comprehension. Thematic analysis by Barkhuizen, Benson, and Chick was used to analyze the data. The result of this study showed that there were several difficulties faced by the Indonesian and Egyptian EFL university students in reading comprehension. They were namely difficulty in understanding word meaning, understanding long sentences, determining the main idea, and making the inference. The next finding reported the factors that caused the students’ difficulties were namely lack of language knowledge, lack of interest, lack of concentration, and the length of the text.&#x0D; &#x0D; Keywords:&#x0D; Reading comprehension;&#x0D; Students’ difficulties;&#x0D; Causative factors&#x0D;
Teachers’ Beliefs and Teaching Practices in Teaching Phonics to Lower Primary Learners

In English language education, it is essential for young students to demonstrate proficiency in macro skills. Phonics scaffolding leads to more proficient macro skills but the mastery of phonics is frequently overlooked in the process of acquiring language proficiency, as educators frequently emphasize practicality rather than the technical and fundamental aspects of the language. Relevant research has demonstrated the significance of phonological awareness in English language instruction. However, current studies that focus on teachers’ beliefs and teaching practices’ relationship in phonological instruction is limited. Hence, this research aims to examine teachers’ beliefs and practices in teaching phonics to young learners. The research employed a survey design by distributing questionnaires to 150 lower primary teachers at suburban schools in Gua Musang, Kelantan, Malaysia. The findings indicated that there is a positive correlation between the teachers’ beliefs and their teaching practices, which demonstrates that teachers' beliefs and teaching practises influence young students’ phonics mastery. The significance of this study lies in its contribution of progressive and relevant approaches to the teaching and learning of English phonics.
Perancangan Ulang Media Kampanye Event Street Race Polda Metro Jaya untuk Mengurangi Balap Liar Remaja

Among teenagers, the case of illegal racing is a phenomenon that often occurs. Illegal racing is an activity to compete with speed either by motorbike or by car which is carried out on public streets. The perpetrators of illegal racing are usually teenagers. They have a reason because of the lack of a place to channel their hobbies. So, they prefer to do it on the highway. Since the advent of the automotive trend among teenagers, many teenagers prefer to keep themselves busy with automotive hobbies, especially motorcycles, rather than doing brawls that are detrimental to society. But this hobby is also often misused. For example, for teenagers who have a hobby of drag racing, they often use public roads to carry out racing actions. In fact, there are also many teenagers with similar hobbies who use official racing arenas or what are commonly called circuits to channel their drag racing hobbies.
Design and implementation of optical image communication encoding grounded on optical Fourier transform

Abstract This research suggests a unique picture encoding technique based on OFT and block-based transformation in order to communicate image data over an open network. First, a transformation technique was used to create a transformed picture, and then an optical Fourier transform (OFT) algorithm was used to encode the newly-created encrypted version of the converted image. The suggested method’s security relies on the alteration algorithm, sensitivity to the randomness of the phase mask, and the order of OFT. The method has been shown to be beneficial in theoretical and experimental studies. As a result of the implementation, the maximum and minimum UACI (unified average changed intensity) and pixel rate (NPCR). A foundation for future research and a framework for new researchers have been laid down in this study.
METHODOLOGY FOR THE DESIGN AND VALIDATION OF CURRICULA IN HIGHER EDUCATION FOCUSED ON LEARNING OUTCOMES

The article presents an analysis of the curricular design in the educational context of Colombia, focusing on Law 1330 of 2019 and its regulatory decree 21795 of 2020.From which a proposal is derived, a unified proposal called Didactic Disaggregation of Taking Learning; which results from the analysis of the implementation of regulations in 33 academic programs from five universities in Colombia.Curriculum analysis tools were applied to understand and design the essential aspects of the curriculum.The approach made it possible to identify deficiencies in the verification of the graduation profiles, the consistency in the formulation of the profiles and the lack of articulation between the courses and subjects, but common patterns were also found in the curricular design.Five key categories are proposed for the curricular design in higher education, which include the comprehensiveness of the graduation profile, the articulation of academic spaces, the unification of the syntactic structure, the focus on the student, and the interdependence of the micro curricular level.In conclusion, the need to improve coherence, consistency and articulation in the curricular design is established, proposing key guidelines and categories to achieve greater academic quality, through the adjustment and updating of the curricular design, the adequacy of evaluation mechanisms, the traceability of the training processes, the articulation between courses, among other aspects.
Sentiment Analysis of Social Media Data on COVID-19

The COVID-19 pandemic has forced people to resort to social media to express their thoughts and opinions, which could be analysed further. In this paper, we aim to analyse the impact of the COVID-19 pandemic on social media users by Sentiment analysis of data collected from popular social media platforms, Twitter and Reddit. The textual data is preprocessed and is made fit for proper sentiment analysis using two unsupervised methods, VADER and TextBlob. Special care is taken to translate tweets or comments not in the English language to ensure their proper classification. We perform a comprehensive analysis of the emotions of the users specific to the COVID pandemic along with a time-based analysis of the trends, and a comparison of the performance of both the tools used. Geographical distribution of the sentiments is also done to see how they vary across regional boundaries.
Pengembangan Aplikasi Kelas Digital Scola sebagai Media Evaluasi Pembelajaran Musik di Sekolah

Purpose: The use of media in the learning evaluation stage affects student learning outcomes which can be seen from scores in tests and other evaluation stages. It is also seen from how the ability of educators to create learning media that can develop students' interest in the learning process to evaluate learning which is expected to make the stages of learning more effective and efficient with the use of attractive teaching media. One of the interesting learning media is the Digital Classroom application by Scola LMS (Learning Management System) also as a digital learning solution in schools. Method: By utilizing the Scola application, educators can also manage school data in an organized and centralized manner, access content and materials from other schools, and make learning interactive. Result and discussion: This research uses the 4D development model which is formed of the stages of define, design, develop, and disseminate by focusing on the definition and design stages of application development. Implication: The results show that the Digital Classroom Application by Scola is a solution to answer the challenges of conventional learning that is so-so so as to create a digitally sophisticated learning atmosphere.
Education in End-to-end Technologies in Russian Universities: Scale of Implementation and Features of Management

The article is devoted to the issues of managing education in end-to-end technologies, in particular big data analytics and artificial intelligence, in Russian universities. The article presents statistical data on the scale of the implementation of big data and artificial intelligence training programs in Russian universities. The authors note that to process a significant amount of information, algorithms for working with big data were used, such as Google Chrome extensions for extracting data from Instant data scraper and Table Capture web pages. Based on the results of the study, the key features of managing the development and implementation of training programs for big data and artificial intelligence in the top 15 universities of the country were identified and analyzed. It is noted that most of the programs have been developed “at the intersection” of academic disciplines and are aimed at training universal specialists, which dictates the integration of university faculties during their creation and close interaction with representatives of the professional community. Judgments are given that the most dense integration of universities and business is the automatic employment of students during the period of study. It is revealed that the management of the development of training programs for big data and artificial intelligence involves collaboration with EdTech platforms and the implementation of programs in a remote form that combines the advantages of a classical university program and the convenience of online learning, in particular, communicative comfort. The study showed that learning management also involves the development of “soft skills” among specialists in the field of data analytics and artificial intelligence.
Self-regulated learning strategy in learning activities of literal reading course to build learning independence

This study attempts to describe how a Self-regulated learning strategy is implemented in Literal Reading course learning activities based on the characteristics of each strategy phase: Forethought and Planning phase, Monitoring on Performance phase, and Reflection on Performance. This case-study research involves Literal Reading class as the lowest reading comprehension level. It is expected that the learning activities given in the activities meet the needs of reaching the objectives of Literal Reading and match the characteristics of each phase of the Self-regulated learning strategy. Forethought and Planning phase focuses on giving chances to students to get familiar with the materials by observing the learning objectives and plan on what they will do to reach the goals. Monitoring on the Performance phase works on how students can control their learning activities according to their preferences and strategies while allowing them to work with peers or have discussions with the lecturer. Reflection on Performance allows students to review any feedback or new information to plan better strategies in learning. The implications are discussed in the findings.
Pengembangan Aplikasi Augmented Reality Pada Mata Pelajaran Bahasa Inggris Untuk Kelas 1 Sekolah Dasar

This research was developed to overcome problems in students who tend to get bored in English subjects with book media. This research aims to develop Augmented Reality in English subject for grade 1 elementary school. The research method used in this study namely research and development (R&amp;D) with the ADDIE application development model (Analysis, design, development, implementation, and evaluation), in this study is limited to stage implementation. Products are developed using game engine Unity 3D and Vuforia. Data analysis techniques in this study will use descriptive and quantitative analysis techniques. The data collection instrument used was a questionnaire with 8 respondents. The end result of the product is an educational game-based application Augmented Reality learning English which contains 3D objects, descriptions, sentences and sounds from objects that are run. The results of the feasibility test obtained an average score of 81.90% in the very good category. With the application Augmented Reality this is expected to help 1st grade elementary school students in learning English.