Reviewerly/exHarmony huggingface dataset:
Enhanced Load Balancing Based on Hybrid Artificial Bee Colony with Enhanced β-Hill climbing in Cloud

This paper proposes enhanced load balancer based artificial bee colony and β-Hill climbing for improving the performance metrics such as response time, processing cost, and utilization to avoid overloaded or under loaded situations of virtual machines. In this study, the suggested load balancer is called enhanced load balancing based on hybrid artificial bee colony with enhanced β-Hill climbing (ELBABCEβHC) to improve the response time, processing cost and the resource utilization. Our proposed approach starts by ranking the task then the greedy randomized adaptive search procedure (GRASP) is used in initializing populations. Further, the binary artificial bee colony (BABC) enhanced with the modified β-Hill climbing with the sinusoidal map strategy is applied to schedule tasks considering load balancing in cloud. The proposed approach is implemented in CloudAnalyst. The experimental results show that for different user groups all over the world. the performance of ELBABCEβHC algorithm outperforms round robin (RR), throttled load balancer (TLB), and active monitoring load balancing (AMLB) algorithms considering response time, processing cost and utilization.
Analisa Qashidah Nahdliyyah Karya M. Faisol Fatawi: Kajian Resepsi Sastra Prespektif Hans Robert Jauss

Every human being has his own view in assessing a literary work. These views can be collected and used as an assessment of a literature. The existence of different receptions in responding to a literary work raises a unique thing. By studying literature through Hans Robert Jauss's theory of literary reception, it can be a material for introspection for authors and readers as well as assessing the superiority or value of the literary work. This study aims to (1) describe how UIN Malang students respond to Qasidah Nahdliyyah, (2) describe the horizon of readers' expectations of Qashidah Nahdliyyah, (3) describe the factors that cause differences in responses and horizons of readers' expectations. The theory used is Hans Robert Jauss' literary reception called Horizon Harapan. This research is presented in the form of a table containing the results of the researcher's questionnaire to several students. The results of this study are the discovery of factors that cause variations in responses and horizons of readers' expectations in the form of: (1) the reader's experience in studying literary works, (2) the reader's knowledge of poetry and its building elements, (3) self-identity, education, and The respondent's family background is not a factor in the differences in literary receptions.
An Analysis of Speaking Barriers in English Learning at Senior High School in Songgon Sub-district

Speaking is an important things in interaction, and speaking English is very important to learn to communication when people from the different nations meet. This research aimed to find the type and the dominant barriers in speaking English learning at Senior High School in Songgon Sub-district. The research design was descriptive qualitative. The respondent were 160 from three school in Songgon Sub-district, they are 69 respondent from MA Alfatah, 17 respondent from SMA 4 Muhammadiyah, and 74 respondent from SMK Nurut Taqwa which determined by using cluster sampling. The data were taken by using online system of questionnaire and interview. The data from questionnaire was analyzed by using Likert scale. The data analysis was determined based on theory linguistics barrier and non-linguistic barriers. Analysis questionnaire and interview data showed that students at Senior high school In Songgon sub-district have high Barriers in speaking English learning. The type of barriers had by students showed the percentage score of each indicator are 66% in speaking barrier, 57% in lack of vocabulary, 65% poor in grammar, 64% poor in pronunciation, 71% in lack of motivation, 62% in fear of mistake, 61% in anxiety, 65% in lack of confidence, and 57% in shyness. The most dominant barriers had by students are poor in grammar from linguistic factor and lack of motivation from non-linguistic factor.
The Effect of Word Mapping Strategy on Students’ Vocabulary Mastery

Vocabulary is one of the foremost important components in learning language. Word mapping strategy is depiciting of changing relationship between and among words to encourage students studying English. The researcher used experimental method. The research was conducted at SMK PGRI Banyuputih from 10stAugust until 15thAugust 2018, in the academic year 2018/2019. The population of the research was tenth grade students at SMK PGRI Banyuputih. The samples were class X AK as the experimental class and class X TKJ as the control class. Both of them were consisted of 15 students. This research used quantitative approach with experiment design. The technique of collecting data used was a test. The data was analyzed by using t-test formula. Based on the result of the data analysis of T-test formula, it can be known the result of t-test was higher than the t table. That was 2,89 &gt; 2,048. it show that there is an effect of word mapping strategy on the vocabulary mastery of the tenth grade students at SMK PGRI Banyuputih in academic year 2018/2019.
CERTI-BLOCK A Blockchain Technology Based Certificate Validation System

Abstract: In recent years, blockchain technology has made significant strides, offering promising opportunities to revolutionize the education sector. This innovation can create innovative and cost-effective learning pathways while redefining the relationships between educators and students. One of its most transformative aspects is the creation of immutable digital certificates, which could overcome the limitations of current certificate verification systems by providing speed, reliability, and independence from central authorities. Despite its potential, the application of blockchain in education is still in its infancy, and this paper aims to shed light on this emerging field
A Study on Yun Dong-ju's Poetry through Bibliographic Data Analysis 3

The purpose of this paper is to discuss the life and poetry of Yun Dong-ju, focusing on “Catholic Boys,” a bibliographic data related to Yun Dong-ju. “Catholic Boys”, first published in April 1936, contains eight children’s poems by Yun Dong-ju, as well as works by his friend Um Dal-ho and children’s literature writer Kang So-cheon. This paper summarizes the works of Eom Dal-ho in “Catholic Boys” and infers the time and place where Yun Dong-ju and Kang So-cheon met based on Kang So-cheon’s works in “Catholic Boys”. In addition, we analyzed the eight children's poems published by Yun Dong-ju in “Catholic Boys” and analyzed the way the works were included in Yun Dong-ju's study notes and magazine scraps and their evolution, the issue of confirming the certified copy of Yun Dong-ju's poetry was discussed by examining the aspects in which they were accepted in posthumous collections of poetry and the recently published complete works of Yun Dong-ju.
A Consideration on Documents Proving Korean Language Proficiency for Foreign Students’ Permanent Residence in Korea

The purpose of this article is to take a close look at the documents proving Korean language proficiency, which are essential requirements when issuing visas and changing residency status for foreigners, identify the problems, and propose ways to prove Korean language proficiency for permanent residence in Korea from the perspective of international students. there is. For this purpose, documents proving Korean language proficiency presented in the “Visa Issuance Guide Manual” and the “Foreigners Residence Guide Manual” were presented by residency status, and TOPIK and KIIP were compared and analyzed. This is a way to prove practical Korean language skills for international students settling in Korea. First, prove Korean language skills through integration with academic achievements. Second, prove your Korean language skills by submitting a letter of recommendation from the evaluator. Third, prove your Korean language skills through actual conversations or interviews. Fourth, it was proposed to demonstrate Korean language proficiency based on cultural activities and volunteer experiences.
A Study on the Operation of Art Convergence Education in Higher Education Institutions in Korea

This paper is based on the recent changes and trends in convergence education trends that focus on art. The goal is to closely investigate and analyze the current status of art convergence education for all higher education institutions in Korea and provide basic data on determining how to operate it. As a research method, the process of conducting a typification process, determining the subject of the investigation according to the third level of screening criteria, and collecting data using online and offline were conducted. In particular. I focused on materials in four fields literature, art, music, and movies. As a result, contents such as ‘the trend of expanding the opening of convergence departments and convergence departments’, ‘the existence of many curricula for the operation of culture and arts educators’, and ‘the dominance of literature-led art convergence education cases’ were confirmed. It is time to listen to the voices of the art community demanding a change in the approach of convergence education, and reflect on and enhance the behavior of opening competitive convergence education in a simple way.
Fortifying IoT against crimpling cyber-attacks: a systematic review

The rapid growth and increasing demand for Internet of Things (IoT) devices in our everyday lives create exciting opportunities for human involvement, data integration, and seamless automation. This fully interconnected ecosystem considerably impacts crucial aspects of our lives, such as transportation, healthcare, energy management, and urban infrastructure. However, alongside the immense benefits, the widespread adoption of IoT also brings a complex web of security threats that can influence society, policy, and infrastructure conditions. IoT devices are particularly vulnerable to security violations, and industrial routines face potentially damaging vulnerabilities. To ensure a trustworthy and robust security framework, it is crucial to tackle the diverse challenges involved. This survey paper aims to aid researchers by categorizing attacks and vulnerabilities based on their targets. It provides a detailed analysis of attack methods and proposes effective countermeasures for each attack category. The paper also highlights case studies of critical IoT applications, showcasing security solutions. In addition to traditional cryptographic approaches, this work explores emerging technologies like Quantum Crypto Physical Unclonable Functions (QC-PUFs) and blockchain, discussing their pros and cons in securing IoT environments. The research identifies and examines attacks, vulnerabilities, and security measures and endeavors to impact the overall understanding of IoT security. The insights and findings presented here will serve as a valuable resource for researchers, guiding the development of resilient security mechanisms to ensure the trustworthy and safe operation of IoT ecosystems.
Breast Tumor Detection Using Efficient Machine Learning and Deep Learning Techniques

Breast cancer tissues grow when cells in the breast expand and divide uncontrollably, resulting in a lump of tissue commonly called and named tumor. Breast cancer is the second most prevalent cancer among women, following skin cancer. While it is more commonly diagnosed in women aged 50 and above, it can affect individuals of any age. Although it is rare, men can also develop breast cancer, accounting for less than 1% of all cases, with approximately 2,600 cases reported annually in the United States. Early detection of breast tumors is crucial in reducing the risk of developing breast cancer. A publicly available dataset containing features of breast tumors was utilized to identify breast tumors using machine learning and deep learning techniques. Various prediction models were constructed, including logistic regression (LR), decision tree (DT), random forest (RF), support vector machine (SVM), Gradient Boosting (GB), Extreme Gradient Boosting (XGB), Light GBM, and a recurrent neural network (RNN) model. These models were trained to classify and predict breast tumor cases based on the provided features.
Obstacle Avoidance Path Planning Method Based on DQN-HER

In recent years, mobile robots have been widely applied in different areas, such as medicine, rescue and home service. Obstacle avoidance path planning is one of the most important issues for mobile robots. Researchers have paid attention to the methods integrated with reinforcement learning (RL). Even though the sparse reward problem of RL is proven to be solvable by Hindsight Experience Replay (HER), obstacle avoidance is still a thorny problem. Therefore, we proposed a DQN (Deep Q-learning Network)-HER RL method with proactive obstacle avoidance skill to learn the obstacle avoidance path planning task. We built simulations in Webots and designed an ablation experiment. The results showed our method improved learning stability and efficiency. In addition, we are planning to apply our method to the heterogeneous multi-robot system for multi-robot path planning in future work.
A Descriptive Study of Teachers’ Questioning Strategies in English Classroom Interaction at SMAN 2 Taruna Bhayangkara in the Academic Year 2019/2020

Questioning strategies are the important method for teachers to ask the students by giving the question. The goal of this research was to identify out the type and the level of questioning strategies that used by the English techers in English classroom interaction at SMAN 2 Taruna Bhayangkara in the academic year 2019/2020. This research used descriptive qualitative research design. There were 6 English teachers as the respondents. It determined by using purposive sampling. To collect the data, it taken by using questionnaire and interview. Likert scale was the tool to analyze the data from quistionnaire. To determine the data analysis, it related to eight indicators namely wait time, probing question, balance, participation, prhasing, sequencing, adaptation, and student question. From the data analysis, it offered that questioning strategies always use by the teachers in English classroom interaction. The percentage of wait time was 80.56%, probing question 79.17%, balance 61%, participation 76.39%, phrasing 87.5%, sequencing 80.56%, adaptation 68.06%, student question 73.61%. In addition, the most performed type of questioning strategies was phrasing (87.5%) and based on the Bloom’s Taxonomy, teachers used of model questions in understanding level which has indicated in lower level question. Thus, the English teachers should develop questions in higher level to stimulate students higher order thinking skill.
Utilizing Media Network and Big Data on Presidential Election’s Winning: A Case Study

Background: Media and big data can be used as a political communication tool to win the presidential election, as in the case study of the Jokowi-Ma'ruf Amin pair who made optimal use of these two tools to win the 2019 presidential election contest. With big data, the successful team moves more efficiently and on target in attracting potential voters in the 2019 Presidential Election. Aim: To analyze the use of media networks and big data by the Jokowi-Ma'ruf Amin pair in the 2019 Presidential Election. Method: This study uses a qualitative descriptive approach with a literature study method. Self-study review dipakai penulis dalam menyajikan topik yang dibahas dengan pemahaman atas subjek penelitian. Findings: In the case study of the Jokowi-Ma'ruf Amin candidate pair, the utilization of media networks and the use of big data to map the battle areas in the 2019 Presidential Election contestation, has brought the candidate pairs Joko Widodo and Ma'ruf Amin (as political actors supported by party institutions) bearer politics) to be the winner in the political contestation. This is none other than because the success team of the Jokowi-Ma'ruf Amin candidate pair has paid attention to all aspects to win in the political contest, and took steps to involve media both digital and non-digital to the fullest, and utilized big data analysis in determining steps in the campaign.
Keefektifan Penggunaan Media Kartu Huruf terhadap Kemampuan Membaca Permulaan Siswa pada Mata Pelajaran Bahasa Indonesia Kelas I SD Negeri Widoro Tahun Ajaran 2022/2023

This study aims to determine the effectiveness of the use of letter cards on the ability to read beginning in the Indonesian language class I students at SD Negeri Widoro. This study used a quantitative research type and an experimental method with a pre-experimental design with the One Group Pretest-Posttest Design. This research does not use a comparison class but has used a pre-test so that the influence or effect of using letter card media can be known with certainty. Data collection techniques were carried out through observation and tests. Data were analyzed using a quantitative approach. The independent variable in this study is the letter card media. As well as the dependent variable is the ability to read at the beginning of class I SD Negeri Widoro, totaling 21 students. The sampling technique is saturated sampling. The results showed that in giving the posttest learning outcomes test which was analyzed using the t-test with the proportion = 7.80 &gt; = 2.08 meaning that there is a difference in the use of letter card media on students' initial reading ability in Indonesian language class 1 SDN Widoro.
MALLO: A New Paradigm for Ubiquitous Language Learning

One of the greatest advantages of mobile language learning is its ease of access, especially to learners in the 21st century who have the option of selecting any learning content that matches their preferences or language development goals, anywhere and at any time. Mobile-assisted language learning or MALL takes learning beyond the classroom, which imposes spatial and temporal constraints. This study aims to investigate components of language learning with a mobile-assisted design, and develop and evaluate a mobile-assisted English language learning and teaching innovation, namely Mobile-Assisted Language Learning in Open Resources Environment or MALLO for high-school English as a foreign language (EFL) students. MALLO is a research-based application which employs Exploratory Factor Analysis (EFA) in its development to identify significant components. The participants in this study consist of two sample groups: 1,500 high school students from six regions of Thailand to explore the components; and 300 students to examine MALLO users’ satisfaction Both were selected via the stratified sampling method. After that, nine experts evaluated MALLO in terms of its components, its support for English language learning, its functions, and its application for English language learning. The results indicate that MALLO is comprised of four important components: mobile English learning resources, the use of MALL, mobile technology, and portal collective tools. The results also show the satisfaction of learners as users of the MALLO application at high levels with an average of 4.05 to 4.15. In the final stage, the MALLO application was evaluated by nine experts and the results were also in the range of high or very high levels across all aspects, with an average rating of 4.444.72.
How to best combine demosaicing and denoising?

Image demosaicing and denoising play a critical role in the raw imaging pipeline. These processes have often been treated as independent, without considering their interactions. Indeed, most classic denoising methods handle noisy RGB images, not raw images. Conversely, most demosaicing methods address the demosaicing of noise free images. The real problem is to jointly denoise and demosaic noisy raw images. But the question of how to proceed is still not clarified. In this paper, we carry out extensive experiments and a mathematical analysis to tackle this problem by low complexity algorithms. Indeed, both problems have only been addressed jointly by end-to-end heavy-weight convolutional neural networks (CNNs), which are currently incompatible with low-power portable imaging devices and remain by nature domain (or device) dependent. Our study leads us to conclude that, with moderate noise, demosaicing should be applied first, followed by denoising. This requires a simple adaptation of classic denoising algorithms to demosaiced noise, which we justify and specify. Although our main conclusion is 'demosaic first, then denoise,' we also discover that for high noise, there is a moderate PSNR gain by a more complex strategy: partial CFA denoising followed by demosaicing and by a second denoising on the RGB image. These surprising results are obtained by a black-box optimization of the pipeline, which could be applied to any other pipeline. We validate our results on simulated and real noisy CFA images obtained from several benchmarks.
Exploring Digital Literacy Practices in English Language Learning for Secondary Level Students

Integrating digital literacy into the teaching and learning process in ELT (English Language Teaching) classes has become a significant challenge for teachers in the 21st century. Digital literacy has evolved beyond being a mere technical skill; it has fundamentally transformed the way learners approach their education. In response to this shift, many English learners, including secondary school students, now rely heavily on advanced utilities and web-based tools to create and share meaning. This paradigm shift has not only influenced the curriculum for English students at SMA IT Abhur Mataram but has also been guided by the global Digital literacy competency framework set forth by UNESCO. The approach taken in this study employs a graphical representation to subjectively depict the advanced levels of English language learning. It identifies seven key areas of higher education skills that play a crucial role in English learning at Abhu Mataram High School. These areas encompass proficiency in equipment and software, mastery of data and information, effective communication and collaboration, content generation using computers, ensuring online security, problem-solving abilities, and career-related skills. In summary, the digital literacy standards established by UNESCO for the broader digital society can be effectively applied within the context of English language learning. These seven areas of computer skills, which are integral to the learning process at Abhur Islamic School Mataram, are systematically integrated into preparatory, intermediate, and concluding exercises, ensuring a comprehensive and up-to-date approach to English education in the digital age.