Reviewerly/exHarmony huggingface dataset:
Development of Literacy Through a Combination Picture and Picture Learning Models, Singing Methods and Scondhand Material

This study is to describe the teachers' activities and children and improve the development of early childhood literacy skills through a combination of picture and picture models and singing methods with used media. This research uses the Classroom Action Research (CAR) method. Research settings in group B children in Sayang Ibu kindergarten Cukan Lipai, Batang Alai Selatan District, Hulu Sungai Tengah Regency, amounting to 16 children in the 2019/2020 school year, consisting of 15 boys and six girls. Data collection techniques using observation, documentation, and interviews and assessment of aspects of cognitive development. Indicators of the success of teacher activities score 27-32 with an outstanding category, children's activities reach ≥ 82% (very active) and the development of children's literacy of at least 80% of children or get a 3 star (★★★) with the category of developing in line with expectations (BSH). Conclusion of the results of the study: teacher activity reached 97% outstanding results of children's activities classically 82% very active category and the results of children's literacy development 94% reached ★★★developing as expected and ★★★★ developing very well.
EBCR: Empirical Bayes concordance ratio method to improve similarity measurement in memory-based collaborative filtering

Recommender systems aim to provide users with a selection of items, based on predicting their preferences for items they have not yet rated, thus helping them filter out irrelevant ones from a large product catalogue. Collaborative filtering is a widely used mechanism to predict a particular user's interest in a given item, based on feedback from neighbour users with similar tastes. The way the user's neighbourhood is identified has a significant impact on prediction accuracy. Most methods estimate user proximity from ratings they assigned to co-rated items, regardless of their number. This paper introduces a similarity adjustment taking into account the number of co-ratings. The proposed method is based on a concordance ratio representing the probability that two users share the same taste for a new item. The probabilities are further adjusted by using the Empirical Bayes inference method before being used to weight similarities. The proposed approach improves existing similarity measures without increasing time complexity and the adjustment can be combined with all existing similarity measures. Experiments conducted on benchmark datasets confirmed that the proposed method systematically improved the recommender system's prediction accuracy performance for all considered similarity measures.
PERANCANGAN PROTOTIPE PENDIAGNOSA PENYAKIT JANTUNG KORONER DENGAN METODE BACKPROPAGATION

Coronary heart disease is a disorder caused by the inhibition of arteries that drain blood to the heart muscle. This disease is a non-communicable disease which often results in death directly to the victims. This study aims to design an artificial neural network architecture using the backpropagation method that can predict a person having coronary heart disease by inputting cholesterol levels, blood pressure, and blood sugar levels, and body mass index. This research is research and development. The research methods used in making this prototype, namely: (1) problem analysis, (2) needs analysis, (3) literature study, (4) prototype design, and (5) prototype testing. The patient data used to test the prototype were 20. The results show that the neural network model used has an average error value of 0.792% with 5000 training times. A diagnostic prototype for coronary heart disease using backpropagation was successfully built with good results.
Mobile Authentication Service (MAS) Scheme and Public Engagements in Eradicating Fake Drugs in South-east Nigeria

Background: The issue of fake drugs is a global threat, especially in developing countries like Nigeria. Thus, NAFDAC, among other strategies, launched a Mobile Authentication Service (MAS) scheme that enables the public to authenticate drugs at the point of purchase using scratch codes and Short Messaging Service(SMS).Objective: The study examined the level of public awareness, knowledge, and useof MAS in eradicating fake drugs in South-east Nigeria.Methods: The study adopted a mixed methods research of survey and Key Informant Interviews (KII). The data gathered from 400 respondents via a structured questionnaire were analyzed using descriptive and inferential analysis,while the transcripts from KII were thematically analysed.Results: The analysed data reveals a low level of awareness, knowledge, and use of MAS among respondents, especially in rural areas. Some challenges faced by the respondents in the use of MAS include a low level of awareness and knowledge of MAS, poor network services, elitist nature of the campaign messages on MAS, and partial access to MAS among drug manufacturers. The data also reveal strategies towards enhancing the operations of MAS to ensure its efficiency in eradicatingfake drugs in Nigeria.Conclusion: The study, therefore, concludes that the level of public awareness, knowledge, and use of MAS is relatively low, especially in rural areas. The study found that the use of MAS if enhanced is an efficient scheme in eradicating fakedrugs in Nigeria.
JURNAL REVIEW: PERBANDINGAN SISTEM OPERASI LINUX DENGAN SISTEM OPERASI WINDOWS

Operating Systems are four components that must not be absent for Information Systems. For companies that have implemented a computerized system as part of the company's operational support, must pay attention to what Operating Systems are good for the company. Including the advantages and company budget for Information Technology. To get a good Operating System in accordance with office needs, a comparison of the Windows Operating System and Linux Operating System. The results of the comparison of these two Operating Systems can be input for deciding which Operating System is suitable for the company.
USING PEER COLLABORATION TECHNIQUE TO IMPROVE STUDENTS' WRITING SKILL OF THE EIGHT GRADE OF SMP NEGERI 1 TONRA

Abstrack : The objective of this study to know the difference of students writing ability before and after being thought by related picture. Pre-experimental method was to find applied in this research with one sample group and two test, pre-test and pos-test. The population of this research was basic writing class VIII in SMP Negeri 1 Tonra Subdistrict of Tonra Bone Regency 2018-2019. The total sample of this research was 21 students from one class. Whereas, the result of computation showed that t-observed was 9,71 and t-critical was 2.086 (at 1c.=0.05). It meant that t­ observed was higher than t-critic (9,71 &gt; 2.086). Thus, the null hypothesis was rejected, and the alternative hypothesis was accepted. It meant that there was a significant difference in students' writing ability before and after being taught by using related pictures. So it could be concluded that teaching writing by using related pictures gave better result in improving the students' writing ability of descriptive genre. There is a significant difference eight grade in students' of SMP Negeri 1 Tonra Subdistrict of Tonra Bone Regency writing ability before and after being taught by using related pictures.
State-Based Recurrent SPMNs for Decision-Theoretic Planning under Partial Observability

The sum-product network (SPN) has been extended to model sequence data with the recurrent SPN (RSPN), and to decision-making problems with sum-product-max networks (SPMN). In this paper, we build on the concepts introduced by these extensions and present state-based recurrent SPMNs (S-RSPMNs) as a generalization of SPMNs to sequential decision-making problems where the state may not be perfectly observed. As with recurrent SPNs, S-RSPMNs utilize a repeatable template network to model sequences of arbitrary lengths. We present an algorithm for learning compact template structures by identifying unique belief states and the transitions between them through a state matching process that utilizes augmented data. In our knowledge, this is the first data-driven approach that learns graphical models for planning under partial observability, which can be solved efficiently. S-RSPMNs retain the linear solution complexity of SPMNs, and we demonstrate significant improvements in compactness of representation and the run time of structure learning and inference in sequential domains.
The role of information literacy in the formation of professional competence of future special educators

The article is devoted to determining the place of information literacy in the structure of professional competence of special teachers. The analysis of the works of domestic and foreign researchers made it possible to reveal the specifics of the interpretation of the concept of “information literacy”, ideas about its meaning in the general training of future special teachers. Professional competence as a result of vocational education presupposes the presence of specific elements that serve as criteria for assessing the level of its formation. Indicators of information literacy are clearly expressed in characteristics that describe the current requirements for a future special teacher, and are part of the content of professional competence. The ability to satisfy one's own information needs, collect, exchange, store information and assess its quality are essential components of the general culture of a modern person. In the development of professionalism of future special teachers these abilities perform significant functions. The empirical research was organized in order to identify the degree of understanding in special educators necessary for effective teaching. The study involved 120 defectologists who studied at the Pavlodar Pedagogical University. The experiment is a survey of working special teachers, which was carried out using the author's questionnaire. The study showed a high need for practice in special teachers who have information literacy. The article discusses the development of information literacy as a fundamental component of the professional competence of special teachers through improving the organization of dual education.
TEACHING CREATIVE WRITING AT SCHOOL (EXERCISES TO PROVOKE INTEREST TO LEARNING)

ВИКЛАДАННЯ ТВОРЧОГО ПИСЬМА В ШКОЛІ (ВПРАВИ, ЩО ВИКЛИКАЮТЬ ІНТЕРЕС ДО НАВЧАННЯ)The article offers a set of particular tasks and exercises which help a teacher of English as a foreign language to inspire the learners for effective creative writing.Teachers are aware that their pupils have different learning abilities and they are to find a balance which helps and encourages both gifted and average children.Moreover we should keep in mind that rather a big group of pupils are slow enough, accordingly, they need and deserve teachers' attention.We'd like to share some exercises on developing writing activities, both in poetry and essay writing, which encourages pupils' participation through creativity, imagination and writing.At all ages people want to know as much as possible about themselves and the way others percept them.Creative writing helps us all discover the world we live in.
Guest Editors’ Introduction: Machine Intelligence at the Edge

<bold xmlns:mml="http://www.w3.org/1998/Math/MathML" xmlns:xlink="http://www.w3.org/1999/xlink">Recent years have</b> seen widespread application of machine learning (ML) to a diverse range of industries and problem domains. By taking advantage of the availability of massive amounts of data and scalable compute resources, ML methods are able to outperform traditional hand-tuned models on today’s wide-range of AI tasks, particularly in the settings of server computing and/or cloud computing. However, the success of ML in sensing applications such as object detection and speech recognition has also driven a demand for such technology (both training and inference) in edge settings, for applications such as autonomous vehicles, mobile devices, and embedded/Internet of Things (IoT) systems. Unfortunately, most existing ML models, hardware, and frameworks are tailored toward the server and/or cloud computing environments and are ill-equipped for edge computing. State- of-the-art ML systems in industry today already use custom frameworks, algorithms, and hardware built for a server infrastructure. Addressing the unique challenges of ML at the edge will similarly require specialization, codesign, and integration of domain knowledge for the edge across the computing stack. This timely special issue <italic xmlns:mml="http://www.w3.org/1998/Math/MathML" xmlns:xlink="http://www.w3.org/1999/xlink">IEEE Design&amp;Test</i> of called for novel research on ML models, hardware architectures, programming tools, and design methodologies for ML at the edge.
Virtual Reality with Virtual Private Assistant Research: A Case on Amazon Sumerian

In modern years, there is a growing recognition of Virtual Reality(VR) in education andthe logic behind this may be the distribution programs in various walks of life. With theminimal device framework, the developers can easily construct and organize applicationsthat can be reachable from anywhere without the in-depth understanding of editing andmanaging 3D objects. In an intended design, Intelligent Virtual Assistant offers theopportunity for hospitality services to enhance the customer experience. The VirtualAssistant can give guests a more personalized experience with either a touch or a VirtualAgent, a custom kiosk, or a smartphone. If you are visiting for the first time and need toidentify the local business and location on the map, this MIET Virtual Assistant will helpyou find them. This paper outlines the results of a project undertaken by the Meerut Instituteof Engineering and Technology, AKTU, India, which aims to provide a purposeful hostingservice in the VR area using amazon service which is known as AWS Sumerian . Thisproject’s benefaction and shortcomings are explored.
PENINGKATAN KEMAMPUAN MENULIS PENGLAMAN PRIBADI DENGAN MENGGUNAKAN MODEL INVESTIGASI KELOMPOK SISWA KELAS VIII MTS AL-KHAIRAAT GURAPING OBA UTARA

The problems in this study were (1) whether the improvement of writing skills in personal experiences using the group investigation model of class VIII MTs students. Al-Khairaat Guraping the northern oba? (2) How to increase the ability to write personal experiences using the group investigation model of class VIII students at MTs Al-Khairaat Guraping Oba utara? The research was conducted with the aim of (1) To determine the results of the use of the group investigation model in learning to write personal experiences in class VIII students of MTs. Al-Khairaat Guraping northern oba. (2) To determine the increase in the ability to write personal experiences using the group investigation model of class VIII MTs students. Al-Khairaat Guraping northern oba. The method used in this research is quantitative descriptive. The population in this study were 70 students of class VIII MTs. Alkhairaat Guraping northern oba. While the sample in this study was 30 students at 50%. Based on the results of the analysis and conclusions, it can be seen (1) observations of teachers in the field of Indonesian studies that have implemented the teaching and learning process properly in accordance with the application of the curriculum and the use of learning tools in the form of syllabus and lesson plans in writing personal experiences;; (2) the initial test (pretest) of students who get very good qualifications (SB) are 6 by 20%, students who get good qualifications (B) are 26%, students who get quite good qualifications (CB) are 8 by 26 %, students who get poor qualifications (KB) as many as 5 as many as 16. Have not achieved an increase; (4) students who get very good qualifications (SB) are 14 by 46%, students who get good qualifications (B) are 23%, students who get quite good qualifications (CB) are 9 by 30 %, students who get poor qualifications (KB) as many as 0 students by 0% achieve an increase.
Praktikalitas Sistem Informasi Penerimaan Siswa Baru (PSB) Berbasis WEB (Studi Kasus SMK Negeri 7 Padang)

This research and development is motivated by the problem of registering new students conducted manually so that, it is less effective and there are also many students who come from areas outside the city of Padang. This study aims to determine the Practicality of Designing and Making Information Systems for New Student Admissions Based on Mobile Web of SMK Negeri 7 Padang. This research uses a 4D Research &amp; Development method. The subjects of the study amounted to 21 people, with the design and development steps as follows. (1) Define, in the define step an analysis of the requirements of the system will be carried out (2) Design, in this step a design will be made for the system to be created ( 3) Develop, in this step an assessment phase of the system will be made and (4) Disseminate, at this stage the product distribution has been made. Practicality testing is carried out on the Information System for New Student Admissions Based on the Valid Mobile of SMK Negeri 7 Padang. The overall practicality assessment results of the practical assessment of the New Student Admissions Information System Based on SMK Negeri 7 Padang Mobile Web is 86.26%, so the practical level can be interpreted to be very practical to use. In conclusion, based on the assessment along with expert input as well as the results of the field trial of the New Student Admissions Information System Based on Mobile Web as an information system that has been tested for its feasibility, excellence, and can be used in the admission process of SMK Negeri 7 Padang
Subjective Video QoE With a Hybrid Cognitive-Motor Task

This paper reports on the subjective video quality analysis with and without a parallel task. It aims to understand how the quality perceived by the human observer brain is affected when the subject is not entirely focused on the judgment task. For this purpose, two subjective video quality tests were performed according to the ITU-T P.910 recommendation - Subjective video quality assessment methods for multimedia applications. They consisted of two parts involving a total of 24 subjects. Unlike the first test, the second test included an additional (parallel) psychomotor task where subjects had to sort different colors of pasta into three bowls. Various analyses were provided, including preliminary analysis, group analysis, and RMSE analysis. Surprisingly, the results show that not all the spectrum of quality is affected equally by parallel task introduction.
Implementasi Algoritma Dijkstra untuk Pencarian Rute Terpendek Menuju Rumah Sakit pada Aplikasi C-Hos (Covid-19 Hospital)

Exactly on March 2, 2020, the corona virus (Covid-19) entered Indonesia. In Jakarta, there were 445,302 positive cases of Covid-19 as of June 12, 2021. The government itself has appointed Wisma Athletes as an emergency corona hospital and there are also several hospitals in Jakarta to serve as COVID-19 referral hospitals However, many people do not know the referral hospital for COVID-19. This is very unfortunate, because at any time people or residents who have shown symptoms of Covid-19 can immediately come to the nearest Covid-19 referral hospital. From this problem, an Android-based C-Hos (Covid-19 Hospital) application was created by applying the Dijkstra Algorithm to search for the shortest route to the covid-19 referral hospital. Based on the results of testing 20 times, the accuracy of the shortest route to the Covid-19 referral hospital on the C-Hos application is 100%.
Estimating the Effects of Text Genre, Image Resolution and Algorithmic Complexity needed for Sinhala Optical Character Recognition

While optical character recognition for Latin based scripts have seen near human quality performance, the accuracy for the rounded scripts of South Asia still lags behind. Work on Sinhala OCR has mainly reported on performance on constrained classes of font faces and so been inconclusive. This paper provides a comprehensive series of experiments using conventional machine learning as well as deep learning on texts and font faces of diverse types and in diverse resolutions, in order to present a realistic estimation of the complexity of recognizing the rounded script of Sinhala. While texts of both old and contemporary books can be recognized with over 87% accuracy, those in old newspapers are much harder to recognize owing to poor print quality and resolution.
An Investigation Into the Mathematics of Decryption Techniques in RSA Encryption, With an Implementation in Python

This study explores the mathematics of two different techniques that can be used to access the decryption key in RSA encryption including semi-prime factorization and a logarithmic method. The study then presents a Python program, written by the author, that automates the calculations for either of the decryption techniques and also calculates the number of iterations required to determine the decryption key in either circumstance. Most importantly, the program utilizes only values of the RSA encryption algorithm that would be made publicly available in actual circumstances to calculate the decryption key so as to mimic real-life occurrences with as much integrity and accuracy as possible.
The Influential Relationship of Strategic Flexibility in Business Sustainability in the Pharmaceutical Companies’ Sector in Jordan

Purpose: This study aims to investigate the impact of strategic flexibility on business sustainability in pharmaceutical companies in Jordan.Design/Methodology/Approach: The researchers have designed a questionnaire consisting of (37) items that included the independent variable, strategic flexibility in its dimensions (productivity, marketability, competitiveness, and proactivity), and the dependent variable in business sustainability with its dimensions (economic, social, and environmental).It was distributed to pharmaceutical companies in Jordan, where the researchers used the comprehensive survey method as the size of the study population reached ( 125) managers, the sample size was ( 125), among which (123) were valid for analysis, and two were excluded.Findings: The study found a set of results, including the level of both strategic flexibility as well as its dimensions (productive flexibility, marketability, competitiveness, and anticipation) and business sustainability, as well as its dimensions (economic, social, and environmental), in pharmaceutical companies being high, according to the viewpoint of the sample members, as well as the existence of a statistically significant impact at 5% level of significance of strategic flexibility with its combined and individual dimensions (productivity, marketability, competitiveness, and proactivity) on business sustainability in its combined dimensions (economic, social, and environmental).Practical Implications: The study recommends higher management in pharmaceutical companies and boards of directors to pay more attention to the topics of business sustainability in its dimensions (economic, social, and environmental) and strategic flexibility in its dimensions (productivity, marketability, competitiveness, and proactivity), especially in light of the conditions that the world is experiencing under the impact of the Corona pandemic and its negative repercussions on the economy and human health.