Reviewerly/exHarmony huggingface dataset:
NFTCert: Streamlining Certificate Creation and Verification with Blockchain and NFTs

Abstract: This project emerges from the need to address the inefficiencies and vulnerabilities in traditional certificate management and authentication processes across various industries. The project's central objective is to develop an innovative solution by harnessing the power of blockchain technology, with a specific focus on leveraging the Polygon blockchain. The problem it aims to solve is the cumbersome and often error-prone nature of certificate creation and verification. Traditional methods lack transparency and are susceptible to fraud and unauthorized alterations. This project presents an approach to autonomously generate certificates using predefined templates, streamlining the entire certificate creation process. These certificates, along with their associated metadata, are securely stored on the blockchain in the form of non-fungible tokens (NFTs), ensuring immutability and traceability. The methodology employed involves the integration of blockchain and NFT technology to provide a robust and efficient system for certificate management and authentication. It emphasizes transparency, security, and efficiency throughout the process. While the full results and details are discussed in the research paper, this project's implications are far-reaching. It has the potential to revolutionize how certificates are issued, managed, and authenticated across multiple sectors. By enhancing the efficiency and security of this critical component, the project contributes to increased trust, reduced fraud, and improved overall workflow efficiency in industries reliant on certificates.
DineEase

Abstract: This research paper explores the development and implementation of an online food ordering and table booking system, called "DineEase," for the college canteen. In the modern era, customers increasingly seek convenient and user-friendly methods to order food and reserve tables. DineEase addresses these demands by providing an intuitive online platform that enables customers to order meals and book tables effortlessly from their personal devices. This paper discusses the advantages, features, and future prospects of DineEase, as well as the challenges encountered during its creation and the corresponding solutions devised. By implementing DineEase, the college canteen aims to enhance customer satisfaction, streamline operations, and embrace the digital transformation in the food service industry.
Communicative Language Teaching Method: Analysis of Teachers' Prophetic Problems At Daar El-Nayl Islamic Boarding School Cilebut Bogor

In learning English, speaking ability is essential aspect, especially for teachers, especially pronunciation. Implementation in the classroom, the teacher is expected to be a good facilitator and motivator with the hope that later students will have the ability to communicate smoothly and their enthusiasm for learning will continue to increase. One teaching method that can be applied is Communicative Language Teaching (CLT). The purpose of this research to increase the teacher's motivation, creativity, exploration of the teacher's English communication skills. Besides that, through this teaching method it is hoped that it can add new experiences for teachers. This research is classroom action research conducted at the Daar El-Nayl Cilebut Islamic Boarding School, Bogor. There are a total of 4 teachers, they are the objects in this study. Data collection was carried out by observing and recording the value of each research stage. The results of the study showed that there was an increase in the ability to communicate in the pronunciation of English vocabulary which could be seen from the increase in the average score.
Workshop How to Register a Journal to the Directory of Open Access Journals (DOAJ)

Promoting journals managed in DOAJ, it provides convenience as a curated online directory a community that indexes and provides access to managed journals to improve the journal. The data available in DOAJ are independent, and this community service is believed to guide journal managers regarding DOAJ indexing. The problem is that many scientific journals in Indonesia have yet to be indexed by DOAJ, which DOAJ provides all content free of charge without delays or user registration requirements and meets high-quality standards. This community service method uses three stages. The first stage is the preparatory stage of team coordination to determine collaboration, resource persons, and preparation of activities and events. The second stage follows up the implementation with activities in the form of lectures, discussions, questions and answers, and practice which aims to build insight into registering journals with DOAJ. The evaluation stage is carried out by giving questionnaires to seminar participants as respondents to get feedback from the organizers. The results were that 86.96% understood how to register scientific journals with DOAJ. Thus, it can be obtained an overview of the level of success in implementing community service related to participants' understanding of registering scientific journals with DOAJ.
On Diophantine equation xb=Dy

Diophantine equation is an important part of the number theory and it has been widely studied for a long time. There are many studies on solving the integral solutions of Diophantine equations using algebraic methods. This paper uses documentation method, sums up the results of research in different documents of finding the integral solutions of some Diophantine equations in various conditions, especially the utilization of theories on Pell equation, which in the form of xb=Dy. This paper mainly considers the situations when a =2 or a=3, which is a particular type of Diophantine equation. Several of the studies focus on the same equation but using different ways. Also, some subsequent studies on different equations are based on the former theorems provided by other writers and expand these theorems to broader applications. In order to emphasize the theorems obtained by the essays quoted and the methods the authors used, most of the mathematical procedures in their proofs are omitted.
Implementasi Literasi Guna Meningkatkan Kompetensi, Tulis Dan Hitung Siswa Di SDN 066045 Medan Helvetia

Field Work Practicum (PKL) is one of the courses that must be completed by students of USU's Social Welfare Study program under the guidance of trained and qualified supervisors. PKL 1 works closely with the MBKM Teaching Campus Partners-USU activities which require students to go directly to schools that are USU-Partners. The role of the teaching campus is very helpful for teachers in terms of literacy and numeracy to improve students' reading, writing and numeracy competencies at UPT SDN 066045 Medan Helvetia. During the implementation of the teaching campus program there were several problems, namely learning seemed monotonous, rigid and dominated by teachers who did not apply a variety of learning systems. Thus, learning breakthroughs are needed that are able to make students active in reading, writing and even counting. This teaching campus program does not only aim at increasing literacy and numeracy, but this program also aims to help improve the quality of schools in terms of learning, administration, and technology. This assistance is expected to be able to improve the quality of student learning so as to create a safe and comfortable learning environment for students to study. This practicum uses the CaseWork method proposed by Zastrow, as follows: Intake and contract, Assessment, Planning, Intervention, Evaluation, Termination. The results of this practicum activity aim that the children at SDN 066045 Medan Helvetia can understand learning well
Application of ontology/conceptual modelling in the context of risk identification at level crossings

This conference paper discusses a new analytical approach to the evaluation of traffic safety at the railway crossings. The new method is based on the use of ontological principles. The ontological tools present a comprehensive decision-making tool, will can be applied to any potential hazardous railway crossing on a road or rail network. The ontology can be considered as a knowledge base that not only stores the data itself, but also defines the relationships between these data, and can therefore be described as a clearly suitable tool for describing risks at level crossings.
Blockchain Intelligence: Where Blockchain Meets Artificial Intelligence

We're in the midst of a time of unparalleled digital disruption and transformation. The breakthrough technologies that are at the heart of digital disruption and transformation are artificial intelligence and blockchain. They have become most trending and unruly technologies. Blockchain is gaining extensive attention because of cryptocurrencies and also due to its provision of secure and decentralized resource sharing manner. AI, on the other hand, offers intelligence and decision-making capabilities for machines that are similar to humans. Both AI and blockchain, spreading at a phenomenal rate and having distinct degree of technological complexity and multi-dimensional business implications, are in situations where they can benefit from each other, and help one another. The researcher of this paper explains how and why these transformative technologies and their convergence can alter marketing as we know it today. The researcher also presents a case study to summarise various marketing use cases that will be used for transformative innovations and their implications for society firms, customers, and, eventually, academic studies. This work looks at the detailed literature on the interaction and possible collaboration areas between the blockchain and AI that can benefit marketing and the list is nowhere close to being completed.
An Application of Blockchain: A Review

Population growth and urbanization have accelerated waste generation, making waste management a global challenge. Technological advancements such as IoT, big data analytics, cloud computing, machine learning, and blockchain have supported various approaches to waste management. Blockchain provides information security, integrity and data record keeping, making it attractive for conventional garbage. However, many people have not yet accepted it. This research paper provides an overview of blockchain’s role in waste management and explores its potential to integrate IoT, AI, and social research. The adaptability of blockchain technology is becoming more and more apparent as more businesses investigate its possible uses. Although the financial services industry has received the majority of attention to yet, blockchain is starting to be incorporated into the operations of other service-related industries, such as healthcare. This paper explores the various ways that blockchain technology can be applied to the healthcare sector. The paper illustrates possible effects, goals, and possibilities related to this disruptive technology using instances from public healthcare administration, patient-centered medical research, and pharmaceutical anti-counterfeiting initiatives.
Innovation of Grammatical Cohesion in Student Thesis Abstracts

This research in-depth discusses aspects of grammatical cohesion in the thesis abstracts of Indonesian Language and Literature program students at Semarang State University. The focus of the analysis lies in how students use grammatical cohesion to organize and connect ideas in their abstracts. The research method involves careful analysis of students' abstract texts, with emphasis on the use of pronouns, conjunctions, substitutions, and ellipsis. Through a qualitative descriptive approach, this research aims to identify patterns of use of grammatical cohesion in abstract contexts and evaluate its impact on the clarity and consistency of the information conveyed. The results showed variations in the level of mastery of grammatical cohesion among students. Some abstracts highlight a good understanding of the use of pronouns and conjunctions to form logical relationships between ideas, while others show a tendency towards less use of ellipsis grammatical cohesion. These findings can provide valuable insight into how students apply grammatical cohesion in the context of their thesis abstracts. The implications of this research can support the development of more effective learning strategies in improving students' academic writing skills in the field of Indonesian Language and Literature. Keywords: Abstract, Conjunction Ellipsis, Reference, Subtitution, Grammatical Cohesion
Models for estimation of solar irradiance in Zimbabwe: A statistical and machine learning approach

&lt;p&gt;The present study focused on the statistical development of solar irradiance predictive models for locations with limited solar irradiance measuring equipment. Multiple linear regression models were developed using both measured and satellite corrected meteorological data. The study chose easy to measure and access meteorological data for analysis and modelling. Multicollinearity and correlation analysis were performed to analyse the relationships among the independent and depended variables. Statistical predictive models were developed, and the prediction accuracy of the developed models was analysed using the coefficient of determination (R&lt;sup&gt;2&lt;/sup&gt;) and the Mean Absolute Percentage Error (MAPE). The results revealed a higher performance of the developed models compared to generic empirical models. The prediction MAPE for the three models developed were respectively 0.117 kWh/m&lt;sup&gt;2&lt;/sup&gt;, 0.132 kWh/m&lt;sup&gt;2&lt;/sup&gt; and 0.044 kWh/m&lt;sup&gt;2&lt;/sup&gt; for H&lt;sub&gt;g&lt;/sub&gt;, H&lt;sub&gt;b&lt;/sub&gt; and H&lt;sub&gt;d&lt;/sub&gt;. The models also had R&lt;sup&gt;2&lt;/sup&gt; values of 0.895, 0.972 and 0.993 respectively for global horizontal irradiance (H&lt;sub&gt;g&lt;/sub&gt;), direct normal irradiance (H&lt;sub&gt;b&lt;/sub&gt;) and diffuse irradiance (H&lt;sub&gt;d&lt;/sub&gt;). The developed models outperformed the generic models by a minimum of 5.74%. The study showed that it is more accurate to predict Global Horizontal Irradiance by summing the predicted component of H&lt;sub&gt;b&lt;/sub&gt; and H&lt;sub&gt;d&lt;/sub&gt;.&lt;/p&gt;
AN ANALYSIS OF DIGITAL IMAGES USING NEURAL NETWORKS TO DETECT HEMATOLOGIC DISEASES

The article discusses the application of the transfer learning method for the ensemble of artificial convolutional neural networks with preliminary digital image segmentation for blood cells in order to classify them later. The results obtained during neural networks classification demonstrate the efficiency of such technologies used for improving the accuracy of artificial neural networks when solving the problems of medical images segmentation for leukocytes in order to diagnose hematologic diseases.
APPLYING TEXT QUESTIONS GENERATION ALGORITHMS FOR AUTOMATIC TEST GENERATION

The article presents findings of manual, semi-automatic, and automatic approaches to gen-erate test questions based on such methods as annotation, keyword extraction, and learning datasets for com-piling tests for studying material, along with a description of each method algorithm, examples of generated questions, and their quality assessment. These examples demonstrate the advantages of an algorithm for gen-erating a method using a dataset and a combination of methods, as well as their possible practical application.
The Openness of Digital Archives in Japanese Universities and Its Opportunities

This study aims to examine the presence and openness of digital archives among Japanese national universities based on nine survey items, including the existence of digital archives, openness levels, organization and presentation of information, and availability of English information. The authors annotated 86 library websites and found that digital archives at Japanese university libraries are relatively extensive in quantity, yet they tend to be accessible only in Japanese. More than half (57%) of the national university libraries make their digital archives available online, with the combined features of open-compliant licenses and restricted policies. From the analysis of the collected data, it is evident that there are possibilities to enhance more inclusive accessibility for diverse user groups while widening global engagement to support the Japanese university internationalization agenda by improving the online presentation and organization and the extent of the openness qualities of the digital archives. Making collections available online, which is currently the case, does not always automatically make them open, but unlocks the first step of the process to pursue further opportunities to exploit the potential of digitization projects.
Quantum Information Processing Technology Based on Quantum Optics

We outline ongoing endeavors in the development of quantum information processing technology utilizing quantum optics. We highlight the distinctive attributes of quantum optical platforms and explore two distinct approaches: discrete variable and continuous variable quantum optics, for the realization of quantum information processing. In addition, we showcase recent achievements in the implementation of quantum simulators, aiming to address practical challenges using today’s available technologies.
Quantum Computing Research at the National Metrology Institute

With a wide range of promising applications arising from unprecedented computing performance, quantum computing has recently received great attention. This technology that relies on quantum superposition and quantum entanglement can be realized in various physical platforms such as superconducting quantum devices, optical systems, semiconductor nanostructures and neutral atoms and so on. The Korea Research Institute of Standards and Science (KRISS), the national metrology institute of Korea, is actively carrying out research on quantum computing technologies with its extensive experience and expertise obtained from the development of measurement standards and precision measurement technologies based on diverse physical systems. In this article, we briefly discuss quantum computing research activities at KRISS.
Promoting Open Science Principles and Primenjena psihologija (Applied Psychology)

At its heart, “open science” is a simple matter of sharing key parts of the research process that are traditionally not shared. These include detailed methods, protocols, and other materials needed to conduct the work; detailed analytical steps or code used for data analysis; the raw data collected during an investigation; and preliminary drafts of the manuscript.This default towards not sharing may be for many reasons, but my opinion is that for many years, the largest reason is that it was simply not possible to share raw data before online publication became the standard. That status quo became embedded in lab culture, and simply changing the status quo in a community as decentralized as the scientific community is always going to be a slow process. The fact that sharing more details about the process of scientific research represents a possible risk for the researcher, in a system where only statistically significant findings are publishable (Dickersin 1990; Komukai, Sugita, and Fujimoto 2023) and where others are not required to share their materials, makes it all the more challenging to move beyond the current state.
Multi-objective Ranking to Optimize CNN’s Encoding Features: Application to the Optimization of Tracer Dose for Scintigraphic Imagery

The pooling layer is at the core of every convolutional neural network (CNN), contributing to data invariance, variation, and perturbation. It describes which part of the input image a neuron in the output layer can see. CNNs with max pooling can handle simple transformations like flips or rotations without too much trouble. The problem comes with complicated modifications. The rank order importance is used here as an alternative to max-pooling. The rank texture descriptor is non-parametric, independent of geometric layout or size of image regions, and can better tolerate rotations. These description functions produce images that emphasize low/high frequencies, contours, etc. We propose a multi-objective ranking algorithm derived from Vargas et al. [10] to optimize CNN’s encoding features. It is applied for the first time to estimate trace dose in radiology with scintigraphic imagery.
Analysis of Digital Literacy in Biology Learning at SMAN 3 Batu Ampar

Background: Information technology has offered various conveniences in biology learning, students can learn more flexibly and are not hindered by the limitations of space and time, so it must be balanced with digital literacy. This study aims to determine the level of digital literacy of students in biology learning in class X SMAN 3 Batu Ampar. Method: This study used descriptive qualitative method. The research subjects were students of class X SMAN 3 Batu Ampar. Data collection techniques using indirect communication and observation. Collecting data using a questionnaire sheet and an observation sheet. The data analysis technique used is descriptive statistical analysis. Results: The results show that the level of digital literacy of students on the basic standard indicators of computer use is moderate (51%), while the basic internet standard indicators are moderate (50%), the basic standard indicators for the Windows operating system are low (43%), and the basic standard indicators for e-mail is low (48%). Conclusion: The level of digital literacy of class X students of SMAN 3 Batu Ampar in biology learning is classified as moderate. Despite the lack of facilities owned by some students, students have been able to use the internet to complete tasks in biology learning.
Cloudy: A Python-based Simulator for Modern Cloud Environments

Abstract Cloud computing is a pervasive technology, underpinning numerous modern services. However, understanding and optimizing cloud environments can be complex and challenging, demanding sophisticated simulation tools. Existing cloud simulators, predominantly developed in languages like Java, often lack flexibility, struggle with rapid adaptation to emerging technologies, and can be difficult to integrate with contemporary libraries, especially in Artificial Intelligence (AI) and Linear Programming (LP) domains. To address these limitations , we introduce Cloudy, a Python-based simulator designed to model and simulate modern cloud environments. As Python offers simplicity, readability, and extensive library support, Cloudy provides an easily accessible, yet powerful , tool for comprehensive cloud simulations. It leverages Python's seamless integration with AI and LP libraries for advanced experimentation and supports modern cloud peripherals, such as GPUs. Moreover, Cloudy accommodates various cloud service models, making it highly versatile for different cloud-based scenarios. Compared to the established CloudSim simulator, Cloudy demonstrated a significant reduction in memory usage and simulation time by 15.6x and 2.75x, respectively. This paper offers an in-depth exploration of the Cloudy simulator, its features, and potential applications.