Reviewerly/exHarmony huggingface dataset:
PUC: parallel mining of high-utility itemsets with load balancing on spark

Abstract Distributed programming paradigms such as MapReduce and Spark have alleviated sequential bottleneck while mining of massive transaction databases. Of significant importance is mining High Utility Itemset (HUI) that incorporates the revenue of the items purchased in a transaction. Although a few algorithms to mine HUIs in the distributed environment exist, workload skew and data transfer overhead due to shuffling operations remain major issues. In the current study, Parallel Utility Computation (PUC) algorithm has been proposed with novel grouping and load balancing strategies for an efficient mining of HUIs in a distributed environment. To group the items, Transaction Weighted Utility (TWU) values as a degree of transaction similarity is employed. Subsequently, these groups are assigned to the nodes across the cluster by taking into account the mining load due to the items in the group. Experimental evaluation on real and synthetic datasets demonstrate that PUC with TWU grouping in conjunction with load balancing converges mining faster. Due to reduced data transfer, and load balancing-based assignment strategy, PUC outperforms different grouping strategies and random assignment of groups across the cluster. Also, PUC is shown to be faster than PHUI-Growth algorithm with a promising speedup.
Comparative Analysis of Fake Review Monitoring and Detection using Logistic Regression, Decision Tree, Support Vector Machine

Here we have Analysed Framework of Review Detection. Product Review dataset is taken from Amazon review dataset. Now a days the usage of Internet and online marketing has become very popular. We have performed various data mining techniques for fake review detection based on different features. The amazon product review dataset is taken from dataset repository. In our process, we have to analyse or to classify the product review into fake reviews and real reviews by using the machine learning algorithms such as Logistic regression, Support vector machine and decision tree.
Exponentially Weighted Mean Filter for Salt-and-Pepper Noise Removal

This paper defines an exponentially weighted mean using an exponentially decreasing sequence of simple fractions based on distance. It then proposes a cutting-edge salt-and-pepper noise (SPN) removal filter—i.e., Exponentially Weighted Mean Filter (EWmF). The proposed method incorporates a pre-processing step that detects noisy pixels and calculates threshold values based on the possible noise density. Moreover, to denoise the images operationalizing the calculated threshold values, EWmF employs the exponentially weighted mean (ewmean) in 1-approximate Von Neumann neighbourhoods for low noise densities and k-approximate Moore neighbourhoods for middle or high noise densities. Furthermore, it ultimately removes the residual SPN in the processed images by relying on their SPN densities. The numerical and visual results obtained with MATLAB R2021a manifest that EWmF outperforms nine state-of-the-art SPN filters.
Teaching of Organic Chemistry Laboratory for Improving Scientific Literacy: Research-Type Experiment and Innovation Ability

A series of teaching exploration is carried out in organic chemistry laboratory to improve scientific literacy of undergraduate students.This article details our efforts in designing teaching activities on research-type experiment to introduce students to the scientific process and impart basic research ability through program design, implementation and summarization.
TEACHERS’ PROFESSIONAL SELF-DEVELOPMENT OF VOCATIONAL TRAINING IN A DIGITAL EDUCATIONAL FORMAT

The rapid dynamics of digitalization of the vocational education system requires a teacher not only with no experience, but also active professional development.The purpose of the article is based on the analysis of domestic and foreign studies and pedagogical practice to diagnose the professional teachers' selfdevelopment of vocational training at the stage of active implementation of the digital learning format during the pandemic.The leading method of research is a questionnaire: the set of methods includes a questionnaire for assessing the level of readiness of a teacher for development by V.I.Zvereva, N.V. Nemova.A non-standard questionnaire adapted for teachers of vocational training and an author's questionnaire that allows an analysis of factors contributing to and hindering the professional development of respondents.The diagnostic results show a high level of professional activity of teachers in the "pre-digital" period and in the conditions of the digital educational format.However, there are significant differences in the assessment of the factors of professional self-development among teachers in the conditions of the classical system of education and at the stage of active implementation of the digital format of education.The novelty of the research lies in the study and subsequent analysis of the factors contributing to and hindering the professional self-development of teachers.The practical significance is due to the possibility of using the author's questionnaire for empirical studies of the professional development of teachers of vocational education.
Digital Literacy in Primary School

The program reveals the goals of mastering primary digital literacy by students in primary school, characterizes digital skills and determines the place of the digital literacy course in the curriculum, reveals the main approaches to the selection of course content and thematic planning, taking into account the hours chosen by the educational organization.
Penerapan Pembelajaran Tematik Berbasis TIK di Sekolah Dasar

In the 2013 curriculum learning inelementary schools has implemented integrated thematic learning.meaning that the learning material presented is an integration and various subjects are packaged in an integrated manner using themes and sub-themes as unifying learning. Learning media thematic is a bridge between learning materials that must be adjusted to the needs of the characteristics of elementary school students who still think concretely and combine various concepts in one study into the themes contained in the media. Information and communication technology is a medium for carrying out activities such as processing, managing, and, transferring information with the principle of using ICT effectively, efficiently, attracting and stimulating creativity. ICT is one of the learning media that is widely usedin various fields of education because it increases effectiveness andefficiency in the learning process.
Penentuan Tajuk Entri Utama Pada Proses Katalogisasi Bahan Pustaka: Permasalahan dan Tantangan

Problem. The main entry heading is one of the important aspects in cataloging where there are problems and challenges faced by librarians in determining it. Aim. The purpose of this study is to obtain an overview and analyze these problems and challenges. Method. The author uses the literature review method where the author looks for references from journals and books for later analysis according to the focus of the study. Research Findings. The author finds that leaders need to be present in the uniform perception among librarians in determining the title of the main entry in the catalog. Conclusion. The researcher concludes that in determining the title of the main entry in the catalog, it is necessary to follow AACR 2 and there are problems related to facilities and human resources faced by librarians and library leaders in determining the title of the main entry. As for the challenge, in the era of digitalization, librarians need to be adaptive and innovative in organizing the field of processing library materials, especially in determining the title of the main entry.
SISTEM INFORMASI RIWAYAT PERJALANAN (SIRP) MASYARAKAT DIMASA PANDEMI BERBASIS WEBSITE (Studi Kasus: Kecamatan Sungai Geringging)

The Corona virus or covid-19 began to appear in wuhan china at the end of 2019. Until now the corona virus has been a disease that has spread tremendously in countries in the world, none of which is Indonesia. To prepare accurate and reliable information in order to suppress the spread of the corona virus in Indonesia, an information system is needed. The Sungai Geringging District Government is a government in Padang Pariaman Regency which is currently collecting data on the travel history of its people during the pandemic manually or has not maximized computerization and technology. This of course makes the sub-district government in recording data, managing community data entering and leaving the government environment ineffective and inefficient. To assist the Sungai Geringging District Government in collecting data and disseminating information, it is necessary to build a website-based SIRP (Travel History Information System) information system. In designing this SIRP (Travel History Information System) the researcher used UML (Unified Modeling Language) modeling. In this study, UML was used to facilitate researchers when designing the system to be made. The method that researchers apply in this study is the prototyping method. With the construction of the Travel History Information System (SIRP) during the pandemic, it is hoped that the Sungai Geringging District Government can easily manage community data that enters and exits the government environment. In addition, the public can easily find out information on how many people are under surveillance (ODP) and people without symptoms (OTG) and other information related to the corona virus.
Analisis Perbandingan Algoritma Naive Bayes Classifier dan Learning Vector Quantization dalam Sistem Identifikasi Boraks pada Bakso Daging Sapi

Meatballs are processed meat products that are prone to be mixed with harmful substances as processed ingredients. This study aims to analyze the performance of the Naive Bayes Classifier method and the Learning Vector Quantization neural network as an object of comparison in order to find the best approach to detecting the borax content in beef noodles. The data used in the study consisted of 2 populations, namely data from processed meatballs independently with different levels of borax and data from surveys in the field. Based on the results of data testing using the instrument, the best accuracy level is the Naive Bayes Classifier approach, which is 93.33% for the population of meatballs containing borax. While the test for data without using the best performance tool also obtained the Naive Bayes Classifier approach with an accuracy of 79.34%.
DISINFORMATION AND CRIME IN GEORGIA: CAN WE CRIMINALISE IT?

The impetus of this paper is to explore disinformation, crime and criminalisation in the context of new media and critically evaluate the statement whether criminalising media or people who deliberately spread false information is logical response to this problem. In doing so, the paper firstly, tries to define what is disinformation, then it explores the process of criminalisation, describes the harm principle and conceptualises the types of harms. Paper then analysis challenges for defining crime in the era of new media, then it explores the value of free speech and finally, infers that criminalisation of disinformation is extreme act from the state, it usually causes only remote harms and therefore, criminalising disinformation shall be resisted.
Qualified electronic signature: basic rules of use in the educational field

The article describes the main functions of a qualified electronic signature (QES) and the rules of use in education. The principles of application of qualified electronic signature in electronic document management systems are considered. The peculiarities of the use of qualified electronic signatures in the field of education on the example of higher education institutions are analyzed. The importance of QES in the electronic document management system is emphasized, as it is used by individuals and legal entities for identification. Emphasis i s placed on the advantages of using a qualified electronic signature during educational activities and as an indispensable component of the final stage of the passage of documents in electronic document management systems.&#x0D; The issue of using a qualified electronic signature from a legal point of view has been clarified. What is important is the identification and authenticity of a qualified electronic signature, because unlike paper documents, an electronic document can easily be subject to various changes. To do this, it is important to control the authenticity of QES with the help of various services to verify the authenticity of a qualified electronic signature.&#x0D; Examples of obtaining QES in modern conditions using both online and offline methods are given. To receive an offline signature, you must contact one of the service providers in person. It is much more convenient to get a signature online: it can be obtained by legal entities and individuals who are clients of PrivatBank.&#x0D; The focus is on the efficiency and convenience of using QES during the establishment of the work process in the field of education. Therefore, for Ukrainian educational institutions that seek to use the latest technologies, the use of QES is an indispensable and effective tool in the implementation of modern activities.
Evaluation System of Elderly Living Space in the Era of Intelligent Internet of Things

By introducing, constructing, and perfecting the system of intelligent Internet of Things (IoT) and smart home in accordance with quantitative evaluation criteria, the evaluation system of elderly living space was established. First, the construction situation of smart elderly services, user experiences, and social requirements were concluded based on the collection and review of the related literature. Then, the indexes involved in the intelligent IoT system for the elderly were evaluated. The expert questionnaires were designed and distributed for analysis. Finally, through decision-making trial and evaluation laboratory (DEMATEL) analysis, a new evaluation index system was established. The research results reflect various aspects that need to be noticed in the construction of elderly living space in the intelligent IoT era and provide insightful references for constant improvement and update of future intelligent IoT systems, thereby making the elderly living space more convenient and comfortable and meeting the needs of society than before.
STRATEGI PENGEMBANGAN CONTENT BASED VIDEO RETRIEVAL PADA PERPUSTAKAAN SEKOLAH TINGGI MULTI MEDIA MMTC YOGYAKARTA

Utilization of knowledge, especially those in video format, sometimes librarians and users have problems finding collections based on video content. This paper aims to see how the strategy of developing Content Based Video Retrieval at the MMTC Yogyakarta Multi Media High School Library. The research method used by researchers using qualitative research with a library research approach. The data collection technique of this research begins with the activities of selecting, searching, presenting and finally analyzing the data. In analyzing the data, the researcher uses content analysis techniques (content analysis). is a research technique to make reference to the introduction of certain characteristics in the text systematically and objectively. The results showed that the development of the Yogyakarta MMTC Multi Media High School Library, especially for the development of a Video-Based Retrieval System (CBVR) must be evaluated through a SWOT analysis in two ways, namely macro analysis, opportunities and threats variables will be formulated, and second from internal analysis will be formulated strength variables. and weakness. In addition, in the Content Based Video Retrieval development strategy, there are aspects that need to be considered and seen, namely: user needs, development budget, human resources: library staff, support from leadership and facilities (software and hardware) and IT infrastructure (network).
Data music album Please Hold: A sonic account of studying and teaching at the university during Covid-19

This article presents the data-based spoken word music album Please Hold. The album is the outcome of a research project which investigates experiences of higher education during the Covid-19 pandemic. The lyrics stem directly from the research data that I collected through interviews with students and academics at the University of Cambridge. With this album I introduce ‘data music’ as a new format for research communication that is uniquely capable of affectively conveying emotional understanding and embodied knowledge. The interpretation of research data is never finished or final when working with data music, since the process of meaning-making continues with each listener. In this article, I discuss my creative process and expand on the content and form of each of the four tracks. As such, I frame and situate the album as a sonic account of the pandemic university and of learning and teaching online during Covid-19.
MEDIA PEMBELAJARAN INTERAKTIF KULTUR JARINGAN TUMBUHAN DI SMA N 1 GRABAG DENGANADOBE ANIMATE CC 2015

The purpose of this research is to be able to design and build multimedia-based learning media in Biology lessons in plant tissue culture material so that it can be used as a learning tool to know more about plant tissue culture material using learning media.From these problems, the idea arose to create Biology Interactive Learning Media on Plant Tissue Culture Materials at SMA Negeri 1 Grabag.The research methodology used in this research is MDLC (Multimedia Development Life Cycle). The modeling used in this design is UML (Unified Modeling Language). System testing in this study uses Black Box Testing for testing application functional requirements, questionnaires for application testing, and Pre-Test Post-Test for material testing.Biology interactive learning media on plant tissue culture material has succeeded in becoming an interesting, effective, efficient source of student learning, as evidenced by the Pre-Test evaluation, there are still many students who have score below the KKM (70). After the Post-Test the student's score increases and it becomes above the KKM. Keywords:Biology, Plant Tissue Culture, MDLC, UML, Interactive
Students’ Perceptions of The Use Of ‘TELL’ in English Learning Process in Bosowa University Makassar

Technology in language teaching has become an incredibly important part of current pedagogy. The present study seeks to justify the perceptions of students about the use of Technology Enhanced Language Learning (TELL) in the process of learning English in Bosowa University Makassar. A quantitative research design was employed as the approach to gathering data about the perception of the students. The questionnaire was used to cater as the research tools for the achievement of research goals. Descriptive statistic was performed to analyze the obtained data through questionnaires. The findings confirm that students have gained benefit in terms of language learning with the use of technologies.
The Interference Made by Students to Pronounce English Phoneme in Wajo Buginese Context of South Sulawesi

This study was aimed at finding out the factors of Buginese students’ interference in pronouncing English phonemes at the Eleventh Grade of SMA Negeri 1 Majauleng. The research applied a descriptive research method. The subjects of this research were Wajo Buginese students at eleventh grade of senior high school at Wajo regency in South Sulawesi. They were chosen by using purposive sampling technique, and there were 20 students involved in this study. The instrument of the research was pronunciation test and reading test form and. The students’ pronunciation in reading test was recorded to be analyzed based on research focused. The results of this research showed that most of the students were difficult to pronounce the front vowels correctly, it indicated that the interference of made by Wajo Buginese students in pronouncing English phoneme occur in substitution of phoneme and the phoneme that has prominent interference was /ae/. Therefore, students’ dialect of Wajo Buginese interfered English pronunciation in reading.
Analysis Students' Perception of Using Mobile Assisted Language Learning (MALL) in Reading Class

This study aims to determine students' perceptions of the use of MALL in the reading class on their learning development using mobile phones as a distance learning medium, especially in the current conditions faced by students such as the corona virus which is to overcome this to maintain the quality of student education or education. lecturers must take advantage of MALL, it aims to create an innovative and creative learning environment with an integrated learning system based on faith and piety, as well as science and technology. This study uses descriptive qualitative research. This research was carried out in the second semester students of the English Department at the University of Muhammadiyah Makassar. sample is 20 studentsThe findings of this study indicate that the use of MALL in the learning process in the reading class is quite helpful for them, this can be seen from the scale obtained by students based on the results of the Guttman scale analysis, the results of 66% according to the interpretation table are in the range of 0.51 – 0.99, so it can be concluded It is said that the perception of students who use MALL in the reading class is close to appropriate.
Hierarki Kebutuhan Tokoh Utama Dalam Novel Edensor Karya Andrea Hirata

This study aims to identify and describe the Hierarchy of Needs for the Main Characters in Andrea Hirata's Edensor Novel. The approach used in this research is descriptive qualitative. The data in this study are in the form of words, phrases, sentences that show the Hierarchy of Needs for the Main Characters in Andrea Hirata's Edensor Novel. The data source is the Edensor Novel by Andrea Hirata. Data collection techniques are: 1) Reading novels. 2) Take notes. Data analysis techniques in this study, namely; (1) data reduction, (2) data codification (3) data classification, (4) data description, (5) data interpretation, (6) data verification. The theory used is Abraham Maslow's theory of Humanistic Psychology. The results of the study indicate that there is a hierarchy of needs from the main character. Starting from the physiological needs, the need for security, the need for belonging and love, the need for esteem, the need for self-actualization.
Path of College English Teaching Reform under the Background of Big Data

<p style="text-align: justify;"><span style="font-family: "times new roman";">College English is one of the basic core courses for college students in China. This course involves many difficult concepts and grammatical structures, which is very difficult for most students. The starting point of any teaching plan is to determine whether teaching is needed to specify what teaching should accomplish. Therefore, the needs of students are the key to the success of College English teaching. The traditional college English teaching does not consider the students' individual learning ability and feedback, which will lead to the students' lack of key knowledge and make them lose interest in English. This paper discusses the cognitive and motivational effects of animation teaching agent and alternative delivery system (simple flashing arrow with audio) when college English level students learn English relative clauses in big data and multimedia environment. This study also examined the cognitive efficiency of the two media systems in English grammar teaching. Therefore, the platform can improve students' autonomous learning ability and English ability. The results show that: in 2020, 601 papers with "artificial intelligence" and 526 papers with "English Teaching" as keywords will be published the most.</span>