Reviewerly/exHarmony huggingface dataset:
Analysis of Writing Programs and Students’ Errors to Increase the Students’ Writing Skill

This study presents the analysis of writing programs which can increase the students’ writing skill by concerning students’ errors. The method used qualitative and quantitative analyses. The participants involved in this study were 30 students of the third level majoring in analytical chemistry department in Politeknik AKA Bogor, academic year 2021/2022. The Researcher wanted to know the area of errors in each writing program. The result shows that the average of grade students got in the program of teaching reading and vocabulary was 68.75% with 31.25% error in the area of identifying the words: analysis, analyze, analytical, analyst, prepare, preparation, determine, determination, require, and statistically. In the program of teaching grammar and structure, the students’ score average was 70% which was bigger than the first program. Meanwhile the average of error was 30% in the area of using past tense, present tense, present perfect tense, modal auxiliary, passive voice, relative clause, past and present participle. In the next program, analyzing sentences from chemistry textbook, the students had difficulty in identifying main and relative clauses, and analyzing present and past participles in a sentence. The students obtained 71.25% for the average of grade and 28.75% error. In writing from simple to complex sentences, the students got score 77.5% and 22.5% error in the area of making sentences consisting of main and relative clauses and applying present and past participles as verb in a sentence. Finally, after having 4 programs stated above, in the program of writing practice report, the students got average of grade 80% meaning excellent, and 20% error in the area of interpreting data in writing and developing main idea. This research finds that the writing programs: teaching reading vocabulary, teaching grammar and structure, analyzing sentences from chemistry textbook, writing from simple to complex sentences, and writing practical report are the writing programs that can increase the students’ writing skill. To make the decision which area of writing programs needs to have more attention, it can be determined by analyzing the students’ errors.
Diagnostics Of Methodological Competencies Of A Teacher

Within the subject field of the article, the regional experience of developing and testing tools for diagnosing the methodological competencies of teachers, including the experience of organizing work with teachers of basic schools of the Pedagogical University to improve the quality of educational results, is provided.Considering the diagnostics of methodological competencies of a teacher as a condition for improving the quality of education, the article focuses on the characteristics of diagnostics tools for identifying the level of methodological competencies of a teacher in relation to the taught subject and the results of its testing, determining professional deficits and planning possible corrective actions to overcome them.The presented materials describe the methodological approaches and methods used in the development of the diagnostic work model, show the results of testing diagnostics tools in terms of the methodological competencies of the teacher, reflect the analytical work based on the results of testing and applying the results to management decisions.The materials of the article include the intermediate results of a longitudinal study, which was initiated as part of the implementation of the state order for 2021 "Development of a regional model for managing the quality of teacher education based on identifying professional deficits and building individual educational trajectories for teachers (including students -future teachers)".The conclusions in the article are addressed to promising solutions for the development of methodological competencies of teachers in the system of continuing professional education of teachers and interaction between the school and the pedagogical university.
GERAK MUDRA SULINGGIH SIWA DALAM UPACARA DEWA YADNYA

Sulinggih in carrying out the Mudra sometimes has the same meaning but the form is different. The uniqueness of the mudra movement is strongly influenced by the aguron - guron line. This work descriptively describes Shiva's sulinggih mudra which is practiced during the implementation of Dewa Yadnya. The rhythmic movement of the mudra can carry Sulinggih's soul to Shiva at the time of the Dewa Yadnya ceremony. The stages and forms of mudra have a deep meaning and function, starting from the Akasa Mudra Movement to the Tangkep Hand Movement and the Hredaya Mudra. The energy of the mudra at the time of the dewa yadnya ceremony is able to synergize or synchronize the energies between planets. Spiritually the form and movement of each type of mudra will be related to the form and energy of one of the dewatas as a manifestation of God. Therefore, this mudra energy came to be known as manik secap asta gina, meaning that through the hands everything will be realized. The mudra of Sulinggih Shivat is closely related to Yantra (in the form of offerings), Mantra (puja), and Mudra in the process of purification of the Bhuana Agung.
LACK OF NORMALCY PLANNING IN HIGHER EDUCATION IN MEXICO

Appears in: ICERI2022 Proceedings Publication year: 2022Pages: 8024-8032ISBN: 978-84-09-45476-1ISSN: 2340-1095doi: 10.21125/iceri.2022.2062Conference name: 15th annual International Conference of Education, Research and InnovationDates: 7-9 November, 2022Location: Seville, Spain
Retracted: Clinical Research on Gastrointestinal Surgery Based on Smart Medicine

[This retracts the article DOI: 10.1155/2022/3698721.].
LET'S STOP MOTIVATING - LET'S HELP DISCOVER THE MEANING OF LEARNING

Appears in: ICERI2022 Proceedings Publication year: 2022Pages: 3035-3039ISBN: 978-84-09-45476-1ISSN: 2340-1095doi: 10.21125/iceri.2022.0755Conference name: 15th annual International Conference of Education, Research and InnovationDates: 7-9 November, 2022Location: Seville, Spain
SPC RAS — 45 Years of Scientific Activity

45 years ago, had started the history of the St. Petersburg Institute for Informatics and Automation of the Russian Academy of Sciences (SPIIRAS), when by the Order of the Council of Ministers of the USSR dated December 19, 1977 and by the Decree of the Presidium of the Academy of Sciences of the USSR dated January 19, 1978, the Leningrad Research Computer Center of the USSR Academy of Sciences (LRCC) had been established, that later in 1985 was transformed by the decision of the Presidium of the USSR Academy of Sciences into the Leningrad Institute for Informatics and Automation of the USSR Academy of Sciences (LIIAS), then in 1991, as stipulated by the return to the city of its historical name, the Institute acquired its current name of SPIIRAS. By its 45th anniversary, the Institute for Informatics (LRCC, LIIAS, SPIIRAS), having united with five leading academic entities of the North-West of Russia, in 2020 turned into the St. Petersburg Federal Research Center of the Russian Academy of Sciences (SPC RAS). With no exaggeration, a distinctive mark of the SPC RAS scientific team is systemic interdisciplinary research. The fundamental results received by the SPC RAS scientists in computer science, cybernetics, artificial intelligence, robotics, security, ecology, agriculture and innovation and investment development of territories fit well in forming the applied solutions that regard the digital transformation of agroecological production, strengthening food, environmental and information security of citizens of our country.
THE IMPACT OF A SHARED SCREEN ON A TEACHER'S ACTIVITIES IN A COMPUTER-SUPPORTED CLASSROOM

Appears in: ICERI2022 Proceedings Publication year: 2022Page: 5243 (abstract only)ISBN: 978-84-09-45476-1ISSN: 2340-1095doi: 10.21125/iceri.2022.1275Conference name: 15th annual International Conference of Education, Research and InnovationDates: 7-9 November, 2022Location: Seville, Spain
Category Of Time As A Cross-Disciplinary Concept In Research Activities Of Students

Time is one of the most studied and discussed, and at the same time one of the least understood categories.The paper considers a category of time as an interdisciplinary concept in the process of education of tertiary school students.During the research, the authors analyzed existing concepts of time and classified approaches explaining the nature of time.Correlation between the concepts of time with functional areas of post-graduate students during their work on their masters degree thesis, allowed revealing principal mistakes on behalf of the students, largely caused by incorrect understanding of the nature of time.A suggested classification of approaches to the nature of time will help avoid limited views of the problem of time, forming a complex understanding of the time phenomenon among the postgraduate students, thus preventing mistakes in their work on their theses.Introducing such integrated understanding of time as a cross-disciplinary category into the subject of Philosophy of Science may increase efficiency of scientific research.
CHALLENGES AND BENEFITS TO SOFTWARE ENGINEERING GROUP PROJECT CONTEXTS

A significant final year project is a component of many degree programmes, particularly in computing related degree courses.The project provides a final opportunity in a Software Engineering degree programme for students to demonstrate rigorous software engineering skills in the design, development, and testing of a solution to a specific problem.However, there is a significant challenge for the project teaching team to provide project contexts in which students can develop the additional skills of teamworking and working with an external customer.These skills are highlighted by employers in the Software Engineering industry as essential and are identified as core skills in Software Engineering curricula guidelines and reviews.Team-working skills can be developed effectively by providing group projects and guiding the team's organisation around communication, task co-ordination and broader project management processes.However, providing projects which will develop the skills of students around working with a customer is more challenging.Traditionally academic staff propose projects in their specific area of research interest and provide regular supervision by "acting" as the customer or client along with academic guidance.Alternative approaches have been used to provide a more realistic experience of working with a customer by sourcing and providing projects from industry partners, crossuniversity collaborations, and community-based organisations.In this paper, we discuss the relative benefits of the different projects' contexts from the perspective of the students carrying out the projects, their project mentors or supervisors and the module assessors.we reflect on and present the challenges of providing, supporting, and assessing projects from a variety of contexts and lessons learned after two iterations of a final year software engineering project module.
A Transaction Cardinality Estimation Approach for QoS-Adjustable Intelligent Blockchain Systems

The rapid development of the blockchain leads to a blowout of on-chain transactions, contracts, and currencies, which will further accelerate the increase of data. The existing blockchain systems typically support exact transaction queries, which, however, cannot satisfy the QoS requirements with intelligent adjustment in the blockchain systems. To this end, this paper takes the first step to define and address the practically important problem of transaction cardinality estimation for QoS-adjustable intelligent blockchain systems. We first establish a mathematical relationship between the bit string and transaction cardinality. Thus, we can leverage the number of leading 1s of the obtained bit string to estimate the transaction cardinality. We then improve the block header and body with a corresponding search algorithm to access bit strings in blocks. We also propose an estimation protocol with intelligent adjustable QoS to support accuracy-guaranteed and efficiency-optimized estimation. Finally, we design an authentication scheme and guarantee the reliability of our protocol through rigorous theoretical derivation. When achieving the transaction cardinality estimation in blockchain, two technical challenges need to be addressed. (i) To ensure efficient, verifiable, and overhead-saving bit string accessing mechanism in blockchain, we propose the Merkle Cardinality Tree (MCT) and target block filtering mechanism based on Bloom Filter (BF) in off-chain and improve on-chain block header by joining the abstract of MCT and BF. (ii) To improve estimation efficiency while guaranteeing accuracy requirements in hybrid blockchain scheme, we propose a Dynamic One-round Sampling-based cardinality Estimation (DOSE) protocol and integrate BF-DOSE to intelligently accelerate estimation. We build MCT in Ethereum and store the MCT Root in the block header for estimation authentication. Extensive experiments reveal that our BF-DOSE protocol can well satisfy various accuracy and efficiency requirements of QoS-adjustable intelligent blockchain systems, and is one to two orders of magnitude faster compared with benchmark schemes.
Classification of Satellite Imagery for Identifying Land-Cover Objects using ECW Compression Images: The Case of Makassar City Area

This paper presents a case study on the effect of lossy compression using the Enhanced Compressed Wavelet (ECW) format on remote sensing image classification. ECW was chosen because it is widely used as a standard format for storing aerial and satellite imagery. The case study was conducted on a high-resolution multispectral Pleiades image taken from an area in Makassar, Indonesia. Image classification is performed using the geographic object-based image analysis method, where a simple linear iterative clustering (SLIC) algorithm is implemented for segmentation before classification. Six land cover categories were selected to validate the classification results: water bodies, trees, rice fields, shrubs, and urban areas. The effect of image compression on classification accuracy is studied by varying the compression ratio. Then the results are compared with the original image. Experimental results prove that compression with ECW format does not have much effect on classification accuracy. Even the Random Forest and Gradient Boosting Machine provide higher accuracy with the compressed image compared to the original image. In addition, it can be concluded that Random Forest is the best classifier with the highest accuracy.
Preface

The 11 th National Physics Seminar (SNF 2022) is an annual meeting hosted by the Physics Department, Faculty of Mathematics and Natural Sciences, Universitas Negeri Jakarta (UNJ). Due to the COVID-19 pandemic, the SNF 2022 was conducted online (Virtual Conference) on June 25 th , 2022, in Jakarta, Indonesia. The seminar’s scope includes but is not limited to material physics, instrumentation and computational physics, medical physics &amp; biophysics, earth physics and space science, theory, nuclear and particle physics, energy and environmental physics, and physics education. The theme of this year’s seminar is “Innovations and Challenges in Physics for Stronger Recovery.” The seminar was divided into three sessions: the opening ceremony, the keynote speaker session, and the oral presentation. The first session, the Opening, started with the Report of the Chair, the Dean of FMIPA, the Chair of the Physical Society of Indonesia (PSI) Jakarta and Banten Chapter, and the Opening Speech from the Chancellor of Universitas Negeri Jakarta. In the second session, keynote speakers presented their phenomenal research, including discussion. The third is a parallel session with oral presentations from presenters, researchers, and lecturers for 15 minutes per presenter, including discussion. There are 12 virtual rooms designed for parallel sessions with an average occupancy of 14 presenters. A moderator and operator guide each parallel room. I want to thank the Physical Society of Indonesia (PSI) Jakarta and Banten Chapter for their support. As a scientific forum, 194 participants attended this seminar among students, lecturers, researchers, and practitioners who participated as both presenters and participants. We received 134 papers selected through the Morressier system and selected 92 papers to be published in the Journal of Physics: Conference Series with the scope of physics and related fields. Assessment by reviewers includes scope, novelty, originality, scientific impact, accuracy and correctness, and clarity of expression. We want to invite the participants back to participate in the 2023 SNF in the Universitas Negeri Jakarta-Physics Department. List of Editors, Conference Details are available in this pdf.
An exact solution to the Fourier Transform of band-limited periodic functions with nonequispaced data and application to non-periodic functions

The need to Fourier transform data sets with irregular sampling is shared by various domains of science. This is the case for example in astronomy or sismology. Iterative methods have been developed that allow to reach approximate solutions. Here an exact solution to the problem for band-limited periodic signals is presented. The exact spectrum can be deduced from the spectrum of the non-equispaced data through the inversion of a Toeplitz matrix. The result applies to data of any dimension. This method also provides an excellent approximation for non-periodic band-limit signals. The method allows to reach very high dynamic ranges ($10^{13}$ with double-float precision) which depend on the regularity of the samples.
Implementation of a Digital Twin of the CoSES District Heating Prosumer Laboratory

This paper presents a digital twin for the district heating prosumer laboratory at the Center for Combined Smart Energy Systems (CoSES) consisting of heat generators, thermal storages and heat consumption.It is developed using a newly created, Modelica-based simulation library named CoSES ProHMo.Existing simulation models often fail to accurately represent the behavior of commercial hardware components.Therefore, the digital twin features new, accurate heat generator models and tuned models for thermal storage units and heat consumption.The component models are parametrized using measurements from the CoSES laboratory.It can be exported and used in other programs via the Functional Mock-up Interface (FMI).This allows the digital twin to be used platformindependently to design control strategies for realistic heating systems.If desired, the control strategies can be ported to an embedded controller and further tested in the CoSES laboratory.A case study with multiple heat generators, thermal storages and a heat sink was designed to demonstrate the utility of the library.The analysis of the results shows previously unanticipated interactions between different heat generators and the internal controllers of commercial hardware.Based on these findings, the proposed digital twin library can be used by the research community to create realistic scenarios for testing novel control strategies for heating systems and prosumers in district heating grids.
The Effectiveness of Developing E-Book Learning Media in Class Management Course

The purpose of this study is to know the increase of the college students’ cognitive learning outcomes who use e-book learning media developed in the Class Management course in the Primary School Teacher Education department, Faculty of Science Education, State University of Medan. This research type is Research and Development with the ADDIE model, namely analysis, design, development, implementation and evaluation. The instruments used for data collection are tests. The results of the increase of the college students’ cognitive learning outcomes analysis show that the initial average score is 85.3 while the final average score is 89.8. When viewed from the gain score, obtained a gain score of 0.307 which is classified as the medium category.
MEDIA-POLITICAL DISCOURSE FROM A TEXTOLOGICAL VIEWPOINT

There are different research methods, techniques and strategies that are used to study the text. One of such methods is the method of textual analysis, a variety of study approaches used to analyze and comprehend a piece of writing. Understanding media-political texts and avoiding manipulation and information bias requires not only linguistic and extra-linguistic competence, but also awareness of different strategies. In the present paper, we are aimed to provide an overview of textual analysis as a research tool for studying incidents of manipulation in media news broadcasts from a textological perspective.
Barriers to the Reading Comprehension of Public Junior High School Students

The Study Focused on the Barriers to the Reading Comprehension of Public Junior High school Students. The study made use of qualitative techniques to identify barriers in Reading Comprehension from selected Grade 7 students at Pajo National High School, in the school year 2022-2023.The researchers utilized the Phil Iri guide questionnaires to determine the student’s skills in terms of reading comprehension, this scale presents the overall view of the students themselves about the barriers and their reading comprehension.The study yielded that Despite the teachers' best efforts, it is obvious that students experience challenges in developing their reading comprehension. Moreover, the students agreed that they have difficulties understanding the texts provided. Likewise, despite the teachers' confidence in their overall ability to teach reading, there will always be some students who struggle to understand the readings, even if the bulk of students may do it well. This may be a sign that the teacher did not further consult with each and every student when it came to the discussions. If teachers want to further develop their students' reading comprehension skills, they must be able to meet their urge to innovate their comprehension.
Video-based Marungko Approach in Grade 7 Blended Remedial Reading: An Action Research

the study focused on the use of the Video-based Marungko Approach in Grade 7 Blended Remedial Reading.This study used a quantitative descriptive research design wherein a purposive sampling technique was used through paper-based and online surveys. The teacher-respondents will be the researchers themselves as the implementer of the intervention. The research locale, Punta Princesa National High School is a large school with SBM Level II Implementer adopted modular learning modality in its K to 12 Basic Education Curriculum as part of its learning continuity plan amidst COVID-19, the researchers choose to test the video-based strategy in the said locale to aid in the blended distance learning of the learners for the 4th quarter of School Year 2021-2022. The study yielded that the video-based Marungko Approach remedial reading strategy posted significant differences in the performance of the respondents. Since the overall result suggests a significant difference in learners’ performance, from Frustration to Instructional level based on Phil-IRI standards thus, a suitable opportunity for learners to develop their reading comprehension even outside the school premises and during their convenient study time.