Reviewerly/exHarmony huggingface dataset:
Potential Application of Buttala Iron Ores for the Synthesis of Hematite Nanoparticles

Journal of the Geological Society of Sri Lanka is a peer-reviewed and open access journal published by the Geological Society of Sri Lanka. It aims to publish the most topical and highest quality papers, summarizing the results of recent research across all sub-disciplines of the Earth Science. Papers are frequently interdisciplinary covering both pure and applied fields of Geology. Contributions often refer to local, regional and/or international studies and emphasize the development of the understanding of fundamental geological processes.
Product Innovation Development in The Creative Industries Aren Handicraft in Jember Regency Tutul Village

Purpose: The purpose of this research is how the process of developing product innovation in aren handicraft.&#x0D; Design/methodology/approach: This type of research uses descriptive methods with a qualitative approach. Researchers use the model developed by Urich &amp; Eppinger for the product innovation development process.&#x0D; Findings: The results showed that in phase 5 (Production Ramp Up) workers were able to produce new products from hyacinth raw materials and wood waste with a variety of innovations.&#x0D; Research limitation/implications: The Research is limited to aren handicraft in Village Tutul Jember.&#x0D; Practical implications: This research can be used as a guide for several interested parties, namely lecturers, students and the craft industry&#x0D; Originality/value: This Paper is original&#x0D; Paper Type: Research paper
Random forest algorithm for algorithm for prediction of high school science students acceptance snmptn based on students assesment report

National Selection for State University (SNMPTN) is one of the selection lines for admission of new students in Indonesia to enter State Universities by invitation.Report card grades are one component of the assessment of admission of new students to enter state universities on this pathway.The difference in standards between universities in determining the admission of SNMPTN applicants, causing the need to predict based on several related factors.This research uses data mining techniques with Random forest algorithm.From the results of research that has been done, it was found that the Random Forest algorithm can be used to predict students who are accepted at SNMPTN based on report card grades, obtained from the results of the classification process with the student report card report survey dataset received by SNMPTN, This is indicated by the accuracy, precision, and recall values of 93%.Optimization of the random forest algorithm using the oversampling technique with the SMOTE method can improve the classifier's performance due to the imbalanced class problem
Violation Information and Student Achievement with a Website-Based System at the School of Insan Cendekia Mandiri Boarding School

Education is a very important thing to develop the potential of students to become human beings who believe and fear God Almighty, and become human beings who are beneficial to the homeland and nation. Over time, education and technology can collaborate to facilitate the teaching and learning process. However, in classical educational institutions or what we know as Islamic boarding schools, they still rarely use technology to improve their system and education. Therefore, this is one of the reasons that encourage researchers to build a website-based information system on student violations and achievements at the Insan Cendekia Mandiri boarding school boarding school which aims to assist ustadz and ustazah in seeing the development of their students and making it easier for them to take on policy. This system uses the HTML, PHP and SQL database programming languages and this research method uses the WDLC (Web Development Life Cycle) system which is often used to build and develop websites, in this method there is a website development cycle, namely planning, analysis, design, implementation, finishing and maintenance.
Indian research in applied mathematics during 1996-2020: A bibliometric analysis

In this paper, bibliometric analysis of scientific literature published during the period 1996-2020 in.the field of Applied Mathematics has been presented using Scopus linked SCImago country ranking database. Further, India’s contribution at global level is highlighted in particular using key bibliometric indicators namely document published, citations (external/self) and citations per document along with their annual corresponding growth to validate the findings. India is growing exponentially and contributing 2.5% to global research output with average 11.63% of annual corresponding growth. In addition, citations (external/self) and citations per document show average annual corresponding growth within ±5%. The outcomes of this study could foster new policies and the improvement in existing policies for various research activities especially for India.
Analysis of the Combination of Naïve Bayes and MHR (Mean of Horner’s Rule) for Classification of Keystroke Dynamic Authentication

Keystroke Dynamics Authentication (KDA) is a technique used to recognize somebody dependent on typing pattern or typing rhythm in a system. Everyone's typing behavior is considered unique. One of the numerous approaches to secure private information is by utilizing a password. The development of technology is trailed by the human requirement for security concerning information and protection since hacker ability of information burglary has gotten further developed (hack the password). So that hackers can use this information for their benefit and can disadvantage others. Hence, for better security, for example, fingerprint, retina scan, et cetera are enthusiastically suggested. But these techniques are considered costly. The advantage of KDA is the user would not realize that the system is using KDA. Accordingly, we proposed the combination of Naïve Bayes and MHR (Mean of Horner’s Rule) to classify the individual as an attacker or a non-attacker. We use Naïve Bayes because it is better for classification and simple to implement than another. Furthermore, MHR is better for KDA if combined with the classification method which is based on previous research. This research showed that False Acceptance Rate (FAR) and Accuracy are improving than the previous research.
An Analytical Study on the Purpose and Use of the E-Resources in Libraries with Special Reference to Mody University of Science and Technology, Rajasthan

Libraries have long been interested in new technology, both for their ability to improve service quality and for their potential to improve operational efficiency. In light of the potential savings in operations and administration of collections and users that e-resources provide, libraries of all types—public, academic research, and special—are eager to embrace new technology. In order to be read by a computer, e-resources are digital objects that include electronic representations of books, journals, and other reading materials. Electronic versions of library materials are now widely accessible and may be accessed over the internet. There is no time limit on when you may get the information you need.
Development of Multimedia Bilingual Learning for Early Childhood Education

This study aims to describe bilingual learning in PAUD Group B in TK Perintis II Arang Limbung, Sungai Raya District. The method used in this study is the Research and Development (R&amp;D) method with the ADDIE (Analysis, Design, Development, Implementation, Evaluation) development model. The subjects of this study were the Head of Pioneer II Kindergarten, class teachers, student behavior, and parents. Data collection techniques use interviews, observations, and documentation. Data analysis techniques through qualitative analysis. The results showed that every child can develop language naturally. However, language development is also influenced by parents, the environment, and the world of education, especially in bilingual learning, namely Indonesian and English. Students have been taught in two languages and delivered through singing, playing, and dancing. This attracts students to follow the lesson with a feeling of love and joy. Therefore, the purpose of this study is to develop English learning media so that children's cognitive abilities can be improved. The conclusions of this program study show that the bilingual program in ECCE provides positive results for children's language development.
Pemanfaatan Media Flipbook Terintegrasi Task Based Learning (TBL) untuk Pembelajaran Phonetic Symbol

Task Based Learning (TBL) is a distinct way of teaching language. TBL is an approach that offers material to students who require them actively involved in the learning process to achieve goals or complete tasks (Hashemi, et al., 2012). This study aims to develop learning media in the form of a flipbook not only focuses on the material displayed, but also on the final result of the process learning. At the end of the explanation session that was presented, students were given assignments authentic so that they can apply the theory they have obtained in the session previous. The flipbook application can combine material in the form of text, images, nor video. In Phonology, students only get written samples about phonetics symbols. With the development of this flipbook, they can find out direct examples of direct pronunciation of phonetics symbols. Thus, in this study, flipbook media integrated with Task-based Learning can provide an explanation as well as a clearer picture in the learning Phonology. This study used a type of research and development (R&amp;D). Researcher developed flipbook media that is integrated with Task-based Learning in the course phonology. In this study, researchers used the Ncesoft Flipbook Maker application features adding text files in the form of Microsoft Word or PDF, as well as image files (JPG/JPEG) and videos. As with other flipbook applications, the final flipbook can be rotated like a video to the end of the page. The subjects of this study consisted of 92 people. Researcher involving 90 IKIP Budi Utomo students taking Phonology courses. While the other two people consist of 1 material expert and 1 display design expert.
Walking inCommon: A Model for Mobile, Situated Knowledge

This commentary is a transcription of Episode 1 from the podcast series: Walking inCommon.The project conceived by visual artist Naiza Khan, offers a critical examination of alternative modes of practice-based visual research and learning.It opens a portal to explore how ideas of a performative, embodied mapping can trigger multiple ways of sensing the land and the body.
An Approach for Automatically Generating Traces for Python Programs

Dynamic specification mining technology depends on traces, and the coverage of traces determine the effectiveness of specification. With the development of Python programs, mining specification of Python programs has become a big challenge. However, there are no tools that are enable to generate traces automatically. In order to improving the coverage and availability of traces, we propose an approach for automatically generating traces for Python programs. Firstly, we preprocess a Python program to get the annotation information. Next, using a random generation method and symbolic execution technology, we get test data automatically for the program. Then, we generate test cases by coverage guidance. Finally, we execute the test cases to extract traces of the program. Taking the generated traces as the input of specification mining tool, we get a specification model represented by finite state automata, which directly proves the availability of traces. And the experiment shows that our method has more advantages in statement coverage and branch coverage than the existing Python test case generation tool Pynguin.
HOW TO MAKE A PERFECT INDEX? (OLGA I. KAPITSA’S VIEWS ON THE BIBLIOGRAPHY OF CHILDREN’S LITERATURE)

At the beginning of the 20th century, a single community of critics of children’s literature began to form, who called for a more responsible and thoughtful choice of books for children’s reading. The article presents Olga Kapitsa’s point of view on the principles of compiling indexes of children’s literature. Based on archival materials from the Children’s Reading Demonstration Library, an overview of the discussion on the first part of the “Systematic Index of Books for Children and Youth” devoted to fairy tales is given, and the principles of evaluating the works of various authors are also revealed: writers who write specifically for children, Russian and foreign classics. According to Olga Kapitsa, first of all, in works for children, it is necessary to pay attention to such subjective and evaluative signs as a comfortable narrative atmosphere for the child reader, the ability to arouse his interest, the absence of false intonations and excessive sentimentality or deliberate bias in the author’s “appeal” to children, at the same time texts they should be artistic and written in figurative language, and the publications should be qualitatively decorated and illustrated. The formulation of the criteria and the arguments for their allocation in the works by Olga Kapitsa demonstrate not only the conceptual apparatus of the pedagogical discourse on children’s reading in the 1910–the 1920s, which had been formed at the previous stage of the development of children’s literature criticism but also the influence of the new bibliographic approach to the description of the book flow for children during this period.
Fourth Semester Students’ Perspective of Classroom and Distance Learning During Covid-19 Pandemic in Learning Second Language Acquisition

This research aimed to evaluate the fourth semester students’ perspective of Distance Learning (DL) compared to Classroom Learning (CL) in learning Second Language Acquisition (SLA) in English Department Program of Universitas Pendidikan Mandalika in academic year 2022/2023. This research was a qualitative research. The subjects of this research were fourth semester students that consisted 67 students who were learnt SLA through DL and CL. An online questionnaire was sent to all of the subjects. After the data have been collected, the researchers then analyzed the data by theory of Huberman (1994), the Qualitative Data Analysis was done with three steps; Data reduction, Data Display and Conclusion. Based on the analysis data, it was found that the DL students experienced some problems during learning the theory of SLA, the result of questionnaire showed that SLA learning process through DL was not run efficiently than CL. Moreover, the result of questionnaire of CL students showed that CL process gave motivation for self-directed learning and communication with lecturers and their fellow students was easier with CL.
Active Learning Materials for English Online Classes Based on Genre-Based Approach

The COVID-19 pandemic has impacted all aspects, including education. This phenomenon has drastically changed the teaching and learning interactions in schools. This change shocked teachers and students unprepared for competence, subject matter, and technology, including psychology. For that constraint, the authors are interested in contributing their ideas/thoughts in the form of developing active learning materials for English online classes based on a genre-based approach for VIII grade junior high school students. The researchers developed the product through development research (RD) involving a sample of 114 VIII grade junior high school students and 3 English teachers. Through needs analysis of respondents, researchers can map the objectives and learning materials needed by respondents. Researchers use this need analysis to develop online-based learning materials. The final product is a supplementary online book consisting of 6 units with different themes. From the results of field trials, it is known that this book is very well received by the user, in this case, the VIII grade students and English teachers of SMP/MTs.
Implementation of the Turbo Boyer Moore Algorithm in Searching Medical Record Data

The Patient Medical Record Data Search application is used to assist the Bintunan Air Treatment Health Center in finding medical record data with faster time efficiency, where so far the search is still done manually by looking at the books. The Patient Medical Record Data Search application is used to assist the Puskesmas in managing patient data, doctor data and patient medical record data every time for treatment, so that the processed data is stored in the application database. Applications for Searching Patient Medical Record Data at the Bintunan Air Treatment Health Center have implemented one of the search algorithms, namely the Turbo Boyer Moore algorithm, where the search process is carried out per string / word through a shift in data matching between keywords and data in the database. Based on the results of black box testing, the functionality of the Patient Medical Record Data Search Application at the Bintunan Water Treatment Health Center has been running properly and is able to display medical record search results using the Turbo Boyer Moore Algorithm.
Water that is Too Clear Has Few Fish: A Tradeoff between AI Regulation and Innovation

In response to the rapid development of AI, several governments have established a variety of regulatory interventions for this technology. While some countries prioritise consumer protection through stringent regulation, others promote innovation by adopting a more hands-off approach. However, this tradeoff has not been analyzed systematically. We developed an economic theory of how the welfare-maximizing level of regulatory stringency for AI depends on various institutional parameters. Our game-theoretic model is motivated and built upon the comparison of regulatory documents for AI from the EU, the UK, Russia, and China. The results show that if a government strives to find the right balance between innovation and consumer protection to maximize the actual consumer welfare, stringent regulation is optimal when foreign competition is either high or low, whereas light-touch regulation is optimal when foreign competition is intermediate. Meanwhile, minimal regulation are rationalizable if a government prioritizes innovation, domestic producer surplus, or perceived consumer welfare.
On the role of blockchain for self-sovereign identity

Self-sovereign identity (SSI) is a model for digital identity in which users control their identity. Users are issued with credentials and can use such credentials to construct verifiable proofs of identity to a third party. Typically, blockchain technologies are leveraged to implement a verifiable data registry, which is a constituent part of the SSI architecture. It is often suggested that blockchain enables the decentralised and trusted ecosystem required for an SSI system. We evaluate whether blockchain can provide the necessary decentralisation and trust. We argue that blockchain has the potential to enable this ecosystem, but this is dependent on the type of blockchain used to implement an SSI system. Moreover, with respect to trust, we argue that blockchain alone is not sufficient and must be accompanied with other mechanisms to provide a trusted ecosystem for SSI systems.
Developing a Model for Predicting Lung Cancer Using Variational Quantum-Classical Algorithm: A Survey

There are real life problems that currently proved hard for classical computers (even the best of supercomputers) to solve-the so called computationally intractable problems. Computers and computing devices are limited, by virtue of the fact that they cannot perform certain complex problems. For example, modern cryptography assumes that it is impossible to factorize a large number as the complexity of solving this problem increases exponentially. Even the best supercomputers of today cannot sufficiently find the prime factors of a number with 700-1,000 digits. With quantum computing, however, Shor’s algorithm proved that in principle, a quantum computer can be used to break the security of conventional cryptosystems. Quantum computing also promises exponential improvements for many optimization problems. Lov Grover algorithm was also designed to search for an element in unstructured database. Effort is currently on to leverage quantum computing and quantum mechanical phenomena to tackle complex machine learning problems. Using machine learning algorithm to solve problems is common place. What is however new is using quantum machine learning algorithm to solve problems such as detecting, classifying and predicting disease such as lung cancer. In this work, we highlight the limitations of classical computers to solve certain problems and then propose a hybrid model called the variational quantum-classical algorithm to predict the possibility of a patient developing lung cancer given a set of features which are spelt out in the dataset. The dataset is initially pre-processed, and made to pass through a Parameterized Quantum Circuit (PQC) and then post-processed. Finally, the output of the post-processing phase is used for prediction of lung cancer.
Factors Influencing Digital Competence: A Focus Group Study From the Perspective of the Medical College Students

Over the last decade, learning and working in medicine has been increasingly influenced by digital tools. Today’s medical students are growing up in a digital age where digital tools and devices are a regular part of professional life. The development of digital competence is crucial for healthcare education, as healthcare professionals will be the ones helping orientate patients in digital healthcare systems and tools. This study aims to explore the opinions and experiences of medical college students regarding the factors influencing digital competence. Four focus group discussions were organised, with 26 medical college students in total in various study programmes in December 2021. The interviews were conducted in Latvian and transcribed by the lead researcher. Thematic analysis of the focus group discussions identified four main themes to be associated with the factors influencing digital competence: personal factors (self-confidence in using Information and Communication Technologies (ICTs), attitudes towards ICTs, prior training on ICTs, motivation), learning design (online, blended learning), lecturers’ digital competence and external aspects (family support, Covid-19 pandemic). This study presented results that could also be helpful for other universities to promote targeted development and improvement of digital competence of their students.
Query Resolution of Literature Knowledge Graphs Using Hybrid Document Embeddings

Literature Knowledge Graphs play a critical role in helping domain experts carry out query resolution for finding relevant articles in published literature. Such knowledge graphs are usually in the form of Curated Document Databases (CDDs). Domain Experts and researchers typically query such literature knowledge graphs using some form of query-resolution mechanism. Machine learning techniques can be used to automate query-resolution. This paper presents a document query-resolution mechanism, given a query and set of documents in a knowledge graph, based on a hybrid word embedding that combines knowledge graph embeddings with “traditional” embeddings. A query-document data set extracted from a clinical trials CDD (the ORRCA CDD) was used. Three “traditional” word embeddings were considered: CBOW, BERT and SciBERT. The evaluation demonstrated that hybrid embeddings produced better results than when the embedding models were used in isolation. A best Mean Average Precision of 0.486 was obtained when using a CBOW and random walk knowledge graph hybrid embedding.