Reviewerly/exHarmony huggingface dataset:
ORTUMAN: Inovasi Media Pembelajaran Berbasis Android dengan Pendekatan Visual Auditory Kinesthetic (VAK)

This study aims to produce android-based learning media in the science subject material Organs of Movement of Animals and Humans, Theme 1, by applying the Visual Auditory Kinesthetic Model (VAK) learning style. This type of research uses the Development (R&amp;D) model, and the development procedure used is Agile development, which consists of five stages: requirements, design, development, testing, deployment, and Review. The subjects in this study were 19 students of class V, MI NW No. 3, Pancor, to find out the user's response. This research is limited to the product development and feasibility testing of Android-based learning media products. Data collection techniques include observation, interviews, and questionnaires, as well as data analysis using descriptive and qualitative methods. The results of the authors show that the developed Android-based learning media obtained the results of the material expert feasibility test with very feasible results, and the results of the media expert feasibility test were very feasible, and the results of user response trials from the aspects of content suitability, learning quality, and media quality showed that Android-based learning media in the science subject material Organs of Movement of Animals and Humans Theme 1 by applying the Visual Auditory Kinesthetic Model (VAK) learning style is feasible to use and has a high response as an innovation in the learning process
Clustering Data Pasien Covid Berdasarkan Usia dan Gejala Menggunakan Algoritma K-Means

The case of COVID-19 is familiar to everyone's ears, but there are still a lot of people who don't care about the importance of maintaining health protocols because of the lack of education about the COVID-19 virus. The increase in cases of covid-19 is getting higher from year to year with increasingly diverse patient symptoms, therefore researchers are interested in conducting research on grouping covid patients based on age and symptoms using the k-means algorithm clustering method. Rapidminer 5 is an application used to process patient data. covid-19, but before processing the data, several processes and stages will be carried out including data cleaning, data selection, integration, transformation until the data is ready to be processed using the rapidmider application. From the result obtained cluster 1 wich amounted to 866 items it was certain that it consisted of patients aged 42-81 years with 50 deaths, while in the cluster 2 wich amounted to 1566 items with an age range of 1-41 years with 16 death. The k-means algorithm clustering method is the most appropriate solution for processing covid patient data. -19, this is because the level of accuracy produced is quite effective. The results obtained in grouping Covid-19 patient data using the k-means algorithm can be used as evaluation material by the government, especially the East Lombok District Health Office in dealing with cases of the increasingly high spread of COVID-19.
Rancang Bangun Sistem Informasi Penjualan Baju Thriff Dalam Meningkatkan Mutu Palayanan dan Jumlah Transaksi

The development of information technology is growing very rapidly, so it has a very important role in various fields, one of which is in the business field, there are still many companies or businessmen who need information systems to support all activities ranging from marketing, data and information management. Queen thrift is a shop engaged in the fashion or clothing business located in Masbagek, Masbagek sub-district, East Lombok. So far, for promotional or marketing media carried out by Queen Thrift shop owners, namely using social media. With this, new innovations are urgently needed, and convenience in the promotion process, as well as online services in the form of information systems. so that these products can be seen by consumers quickly without having to come to the store. With this, it is necessary to update the old system to the new system, namely by creating an online sales information system. With the hope to facilitate monitoring, storage, calculations and reports. In order to be able to provide the right information needed by customers and the store itself.
AI-mediated English for research publication purposes

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EKSPLORASI LINTASAN BELAJAR MATERI POLA BILANGAN DENGAN KONTEKS Q.S. AL-ANFAL AYAT 66

The study's objective was to describe the learning trajectory of number pattern material in the context of Q.S Al-Anfal verse 66. At MTS Basiuni Imran Sambas, 26 eighth grade students participated in this study. This study uses design research as its method. Design research consists of three stages: preparing for the experiment, experiment design, and retrospective analysis. Written tests and interviews were used to collect data, which were then analyzed and revised to obtain the actual learning trajectory. This research produced a learning trajectory that included several activities, namely (1) reading the translation of Q.S Al Anfal verse 66; (2) fill in the table; (3) observing the column for the number of patient people and the column for the number of enemies to see the relationship between the two; (4) calculate the number of enemies that can be defeated if you know the number of patient people or vice versa; (5) looking for an unknown value to find the general formula for an even number pattern.
Teaching Campus Optimization Using ICT As A Social Education Movement Building Education In Undeveloped Villages

SD PAB 25 in supporting an effective 2013 curriculum, the process of academic activity in which the subject teacher gives a recap of scores to each homeroom teacher to be inputted back in the final grade as a report card, the length of time to search for data in the process, besides that the student assessment processing system is still manual, that is, recording it in the book, can cause damage or loss of data that will later be needed when making the report card. The system development methodology uses the system development cycle. The design of input, output, menus, and database displays uses Sublime Text and the Javascript programming language, using the Mongo DB Database Management System. With this web site, data processing can be processed quickly and accurately, and duplication is avoided. The resulting output is in the form of report cards.
Harvard Library HOLLIS: Mindsponge Theory

Harvard University Library System HOLLIS (Holding of the Mindsponge Theory title)
Cyber Security Unveiled: Trends and Protections in the Digital World

Cybersecurity is the practice of protecting our systems, networks, and programmes from cyber attackers and it aims to access, alter, or destroy sensitive information that affects normal processes. Cybersecurity specialists are constantly searching for new, cutting-edge strategies, where the various methods that cybercriminals can use to attack. According to the Cyber Security &amp; Infrastructure Security Agency (CISA), “Cyber security is the art of protecting networks, devices and data from unauthorized access or criminal use and the practice of ensuring confidentiality, integrity and availability of information”. Cybersecurity protects against theft and loss of all forms of data, including sensitive data, protected health information (PHI), personally identifiable information (PII), intellectual property, personal information, data, and systems used by governments and businesses hence it is essential. One of the most important aspects of cybersecurity is End-user Protection. All software and hardware used by end users must be scanned at regular intervals as there can be malicious threats. The attackers do not fall behind as a result of the advancement of new cyber security systems. They use improved hacking methods and target the weaknesses of numerous companies worldwide. Aside from other things, many people are still very concerned about cyber security. At present cyber security faces, many challenges and this study focuses on user security for the most recent technologies that encountered difficulties. Keywords— Cyber Security, Cyber Attacks, Defects, Technologies, Hacking.
Using Tik Tok as a Way to Enhance Motivation in Reading Fluency through Sight Words Duet

Reading skills plays a crucial role in English language learning, particularly in ESL classrooms.Encouraging learners' engagement is a major impediment when it comes to reading skills.Despite its fundamental purpose within language, struggling readers are often averse to participating in reading-related activities, leading to their poor reading fluency and comprehension, as well as a lack of motivation towards reading lessons.To address this issue, the Tik Tok SiWo Challenge is introduced as a tool to mitigate the issues related to reading fluency through sight word reading outside the classroom, further motivating pupils towards reading.This study aimed to measure the effectiveness of Tik Tok SiWo in enhancing Malaysian primary school pupils' language learning and motivating them in reading fluency by reading sight words.10 Year 2 Malaysian primary school pupils from a suburban school were selected by purposive sampling strategies to take part in this Design and Development Research.A document analysis was conducted on School Based Assessment, supported by questionnaire and semi-structured interview as the research instruments.The findings revealed that implementing the Tik Tok SiWo Challenge has significantly impacted pupils' language learning.It has improved their concept of automaticity in sight word reading, enhanced their reading fluency, and kept their motivation level high.This study uncovers the potential of using social media platforms such as Tik Tok for educational purposes, especially in improving reading fluency and enhancing pupils' motivation towards reading.Future research should focus on analyzing the impact of the Tik Tok SiWo Challenge in a larger sample, exploring its implications in diverse contexts, and assessing its long-term impact on pupils' reading skills.Ultimately, this study highlights the significance of developing innovative approaches in enhancing language learning, which can foster a positive and engaging learning environment in the classroom.
Mixture of Gaussian Processes for Bayesian Active Learning

&lt;p&gt;This paper introduces a Mixture of Gaussian processes (MGP) model and explores its application in the context of Bayesian active learning. The MGP offers an alternative approach to fully Bayesian Gaussian processes by leveraging the benefits of `fully' Bayesian active learning while circumventing the computationally expensive Monte Carlo sampling of the Gaussian process's hyperparameters. Through a detailed empirical analysis, we demonstrate that the MGP equipped with Bayesian Active Learning by Disagreement (BALD) improves querying efficiency and delivers competitive performance compared to both standard and fully Bayesian Gaussian processes. Across six classic simulators, our experiments reveal that the MGP with BALD achieves, on average, the lowest negative log probability with the fewest iterations. Moreover, these models are more than seven times faster than fully Bayesian Gaussian processes with BALD. Furthermore, we extend our evaluation to a real-world simulator from the air traffic management domain, where MGP outperforms both Gaussian processes and fully Bayesian Gaussian processes. Additionally, we demonstrate the applicability of the MGP within the Bayesian optimization framework, where it yields the best minimum on five out of the six simulators considered.&lt;/p&gt;
Perceptron Based Data Prefetching

&lt;p&gt;Machine Learning (ML) has shown its capacity for solving problems where prediction is a key factor, and the fact led us to start to explore ML in Data-prefetching, where prediction is also a key factor. Among various ML algorithms, Perceptron Learning caught our attention because of its simplicity that could make it fit well for microarchitecture design. Therefore, we propose Perceptron based Data-prefetching in this paper, contributing to the state of the art by presenting the followings: a novel memory address prediction algorithm based on Perceptron Learning; the hardware implementation thereof; and the evaluation results with an industry-standardized benchmark suite.&lt;/p&gt;
Method of Distinguishing Sentences in English

This journal discusses methods used to distinguish sentences in English. The research is based on computational analysis of syntactic and semantic features in sentences. Some of the techniques and approaches discussed in this research include machine-based classification, syntax-based approaches, as well as the use of deep learning models. A comparative study was conducted to evaluate the performance of these techniques. The results show that classification techniques such as Support Vector Machines (SVM), Naive Bayes, and Artificial Neural Networks produce satisfactory results in distinguishing sentences based on syntactic and semantic features.Moreover, syntax-based approaches using syntactic information in the sentence structure also proved effective in classifying sentences into categories such as declarative, interrogative, imperative, and exclamative.Another study explored the use of deep learning models, such as convolutional artificial neural networks and recurrent neural networks, to distinguish sentences in English. These approaches combine sentence structure and context to achieve more accurate classification results. Overall, this research provides insight into the different methods that can be used to differentiate sentences in English. The results of this research can contribute to the development of more advanced and effective natural language processing systems.
Applying Literary Composition to Comparative Research on Hyun Jin-Geon and Nam Cao, Two Authors in General Literature Education Program of Korea and Vietnam

This is a comparative study of two works by Nam Cao and Hyun Jin-Geon dealing with intellectuals, Hyun Jin-Geon's “My Destitute Wife” and Nam Cao's “A Redundant Life”. I have focused on the comparison of the narrative perspective and the artistic view of the two works as the main part of this comparative study. These two works both deals with the story of a married couple. Also, both of the stories feature a husband who is a poor writer. Works of realism are created from an objective point of view. In accordance with such characteristics, Hyun Jin-Geon's work objectively and calmly depicts the narrator even though it is from a first-person point of view. On the other hand, Nam Cao's work is based on an objective narrative point of view in which the characters in the work, the wife and husband, appear in the third person perspective, but express Nam Cao's unique polyphonic voice through the movement of perspective. These similarities and differences contain the same artistic intention to create works with vitality that go beyond realism or narrative perspectives. Their views on art share a valuable literary idea sufficient to lay the groundwork for realism in both countries. It is true that the history and culture of Korea and Vietnam are different from each other in their views on art, but their artistic ideas have provided high value to the literature of both countries. They use their own language to capture the cry of those who suffer, face the cause of life becoming hopeless, and urge them to live their lives with all their might. As writers under colonial rule, they were writers who conveyed light in the darkness of history. Their artistic conception does not stop at targeting intellectuals as in this study but also conveys the same message in other works relating stories of women and the lower classes.
Performance of the automated Sysmex XN-3000 analyser for detecting white blood cell abnormalities in South Africa

Background: Automated haematology analysers such as the Sysmex XN-3000 (Sysmex Corporation, Kobe, Japan) utilise white blood cell (WBC) flags to identify quantitative and qualitative abnormalities. Owing to clinical and biological factors, the sensitivity and specificity of the flags vary when compared to microscopy, the gold-standard method for assessing peripheral blood smear (PBS) morphology. Objective: This study assessed the performance of the Sysmex XN-3000 haematology analyser in comparison to PBS microscopy for the detection of WBC abnormalities. Methods: We collected 250 random full blood count samples from the haematology laboratory at Inkosi Albert Luthuli Central Hospital, Durban, KwaZulu-Natal, South Africa, from March 2022 to April 2022. The performance of the automated WBC flags of the Sysmex XN-3000 was assessed in comparison to PBS microscopy, and the impact of established clinical variables on the performance of the flags was determined. Results: The sensitivity of the ‘blast’ flag was 96.3%, and the specificity was 84.9%. The efficiency of the flag was adversely impacted by low white cell counts (&lt; 1.5 × 10 9 /L; p &lt; 0.001), chemotherapy ( p = 0.002), malignancy ( p = 0.02), and infection ( p = 0.02). The ‘abnormal lymphocyte’ flag demonstrated a sensitivity of 90% and a specificity of 96.2%, and its performance was adversely impacted by chemotherapy exposure ( p = 0.03). Three cases (1.2%) erroneously flagged as ‘monocytosis’ demonstrated blasts on microscopy. Conclusion: In our setting, PBS microscopy remains necessary to confirm blasts, abnormal lymphocytes, and monocytosis in patients with malignancy, current chemotherapy exposure, low white cell counts, and infection. What this study adds: This study adds evidence that PBS morphology remains the gold standard for confirming WBC abnormalities in patients with a history of malignancy, chemotherapy, and leucopenia.
Implementation of Problem Solving Methods Assisted by Dunia anak Applications to Improve Elementary School Students' Early Reading Skills

Literacy activities for choosing Problem Solving learning methods or problem solving are also supported by several learning theories, namely Vigotsky's theory (Meo et al., 2021) explaining that intellectual development in individuals can be formed when faced directly with new and challenging experiences when solving existing problems. then Dahar (Rusman, 2012) said that learning new knowledge in accordance with one's own capacity will produce better and more meaningful things, because solving problems independently is supported by the knowledge they have. Problems that are packed with reading will make students understand reading and develop reading literacy. The need to develop learning media that can provide reading materials, train reading habits and reading literacy, so that in this case students are not only proficient in reading but also proficient in capturing meaning (Bada &amp; Olugsegun, 2015) This study uses a quantitative experimental method. Problem solving as defined is a way of thinking scientifically to find a solution to a problem. (Sutarmi &amp; Suarjana, 2019). Meanwhile, according to Arus Sohimin problem solving is a learning process that focuses on teaching and problem-solving skills followed by strengthening skills. In this case the problem is defined as a non-routine problem and the solution is not yet known. Precisely problem solving is looking for or finding ways of solving (finding patterns, rules) (Sitorus, nd, 2020) The research design used is the One Group Pretest-Posttest Design. This class will be treated by the teacher by applying the problem-solving method assisted by the application of the world of children in literacy activities. At the end of the learning process in the experimental class, it was measured using measuring instruments, namely interest questionnaires, responses and performance tests of students' early reading abilities, SPSS output results obtained through the Independent Samples Test in Table 4.6 above, it shows that the problem-solving method assisted by the child's world application is more than the average class student learning outcomes in demonstration learning. This is because the tcount obtained from the t-test for Equality of Means, which is 7,183, means that it exceeds the predetermined ttable, which is 1,669. In addition, the results from Sig. (2-tailed) is 0.001 meaning less than 5%, so the data concludes that reject H0 and accept Ha. This means that the average learning outcomes of students who were treated using the problem-solving method assisted by the children's world application were better than the average initial reading ability results that were given treatment with demonstration learning. Keywords: [Literacy, Problem Solving,]
An Incremental Bioinspired-learning Model for integrating Dynamic Security in Blockchain-based distributed Cloud deployments

&lt;p&gt;Blockchain-based distributed cloud deployments generally use static methods to model encryption, hashing, consensus and sharding techniques. Existing dynamic security models for blockchains either have higher complexity, or lower performance efficiency when applied to real-time deployments. To overcome these issues, this text proposes design of an incremental bioinspired-learning model for integrating dynamic security in blockchain-based distributed cloud deployments. The proposed model uses Q-Learning to dynamically select different encryption &amp; hashing. This assists in dynamically modifying security performance for different data-level attacks. Model proposes use of a novel Proof-of-Distributed-Cloud-Performance-Trust (PoDCPT), which integrates temporal execution performance of distributed Virtual Machines (VM) for selection of optimal miner nodes during consensus. These miner nodes are selected based on computational delay, execution efficiency of VMs, and their temporal mining performance under different attacks. The selected miner nodes assist in adding new blocks to the sharded chains. Sharding configurations of these chains are selected using hybrid Ant Lion Optimization (ALO) with Teacher-Learning?based-Optimization (TLbO) process. This hybrid combination assists in formation of delay &amp; complexity-aware sidechain configurations. This enables the model to reduce computational delay by 3.5%, reduce energy consumption by 5.4%, improve throughput by 8.3%, while enhancing mining efficiency by 4.5% under different cloud attacks. &lt;/p&gt;
The Impact of Synchronous and Asynchronous Learning on Academic Integrity Violations by University Students

This study intends to investigate the impact of synchronous and asynchronous online learning on the occurrence of academic ethical infractions among students. The object of this research is an active student of Bachelor Degree in the Department of Accounting, Faculty of Economics and Business, Universitas Brawijaya. A total of 354 data were collected using a survey method with purposive sampling technique. Data analysis was performed using the SPSS application. The test results show that synchronous online learning has an effect on students' academic ethics violations. In addition, the test results also show that asynchronous online learning has an effect on violations of student academic ethics. The findings are consistent with the Fraud Triangle Hypothesis, which contends that when fraud is possible, cases of academic ethical infractions become more serious.