Reviewerly/exHarmony huggingface dataset:
Exact and Metaheuristic Algorithms for Variable Reduction

A variable reduction strategy (VRS) drives evolutionary algorithms (EAs) to evolve more effectively by simplifying optimization problems. To represent a decision space with the smallest set of variables via VRS, a variable reduction optimization problem (VROP) has been defined, which could be handled by a heuristic rule-based automatic variable reduction algorithm (HR-AVRA). However, HR-AVRA has limitations in identifying an optimal solution and is susceptible of getting trapped in local optimums. To handle these challenges, we propose to solve VROP with exact and metaheuristic algorithms. We construct a linear programming model of VROP for the first time. Then, Gurobi, an exact algorithm optimizer, is employed to seek and identify an optimal solution for it. Subsequently, we design two representative single-point-based and population-based metaheuristic algorithms, simulated annealing-based (SA-AVRA) and ant colony optimization-based (ACO-AVRA) methods, to solve VROP more effectively. These variable reduction algorithms can group variables of a continuous optimization problem into reduced and core variables, with the latter representing both reduced variables and the entire decision space. Extensive experiments verify that Gurobi can provide optimal solutions for small-scale VROPs, while SA/ACO-AVRA enables more reduced variables than other variable reduction methods. We also integrate various variable reduction algorithms with several competitive EAs to tackle equality-constrained optimization problems and nonlinear equations systems. Experiments show that EAs integrated with a variable reduction algorithm outperform both standard EAs and those with several other complexity reduction methods. Furthermore, integrating a variable reduction algorithm that introduces more reduced variables generally can lead to better performance of EAs.
Exploring Copilot Github to Automatically Solve Programming Problems in Computer Science Courses

In recent times, the field of computer programming has experienced a significant revolution, thanks to advancements in machine learning. Applications have emerged with the capability to generate source code from natural language descriptions. These tools primarily utilize language models based on deep learning, which have been trained on a collection of programs and projects hosted in public repositories. One of these tools is Github Copilot, an artificial intelligence capable of generating source code that can be integrated as an extension into development environments. The objective of this study is to experimentally explore, analyze, and evaluate the suggestions made by the Github Copilot tool in programming topics related to the Computer Science degree at the University of Bio-Bio. We propose five steps: (1) collecting natural language statements for both general and specific programming problems; (2) utilizing Github Copilot to generate programs; (3) evaluating its performance; (4) conducting an analysis; and (5) measuring code quality. This approach allows us to gain an initial understanding of its effectiveness, emphasizing its application for well-established problems and monitoring its use for problems with distinct objectives.
FORGE: Pre-Training Open Foundation Models for Science

Large language models (LLMs) are poised to revolutionize the way we conduct scientific research. However, both model complexity and pre-training cost are impeding effective adoption for the wider science community. Identifying suitable scientific use cases, finding the optimal balance between model and data sizes, and scaling up model training are among the most pressing issues that need to be addressed. In this study, we provide practical solutions for building and using LLM-based foundation models targeting scientific research use cases. We present an end-to-end examination of the effectiveness of LLMs in scientific research, including their scaling behavior and computational requirements on Frontier, the first Exascale supercomputer. We have also developed for release to the scientific community a suite of open foundation models called FORGE with up to 26B parameters using 257B tokens from over 200M scientific articles, with performance either on par or superior to other state-of-the-art comparable models. We have demonstrated the use and effectiveness of FORGE on scientific downstream tasks. Our research establishes best practices that can be applied across various fields to take advantage of LLMs for scientific discovery.
Online Reachability Analysis and Space Convexification for Autonomous Racing

This paper presents an optimisation-based approach for an obstacle avoidance problem within an autonomous vehicle racing context.Our control regime leverages online reachability analysis and sensor data to compute the maximal safe traversable region that an agent can traverse within the environment.The idea is to first compute a non-convex safe region, which then can be convexified via a novel coupled separating hyperplane algorithm.This derived safe area is then used to formulate a nonlinear model-predictive control problem that seeks to find an optimal and safe driving trajectory.We evaluate the proposed approach through a series of diverse experiments and assess the runtime requirements of our proposed approach through an analysis of the effects of a set of varying optimisation objectives for generating these coupled hyperplanes.
A software defect prediction approach by Cat Hunting Optimization(CHO) algorithm and deep learning based on the GAN-VGG16 networks

Abstract The authors have requested that this preprint be removed from Research Square.
All physical information is discretely connected from the beginning and all geometrical appearance is a delayed statistical consequence

Information is physically measurable as a selection from a set of possibilities, the domain of information. This defines the term "information". The domain of the information must be known together reproducibly beforehand. As a practical consequence, digital information exchange can be made globally efficient, interoperable, and searchable to a large extent by online definition of application-optimized domains of information. There are even more far-reaching consequences for physics. The purpose of this article is to present prerequisites and possibilities for a physical approach that is consistent with the precise definition of information. This concerns not only the discretization of the sets of possible experimental results but also the order of their definition over time. The access to or comparison with the domain of information is more frequent, the earlier it was defined. The geometrical appearance of our space is apparently a delayed statistical consequence of a very frequent connection with the common primary domain of information.
A systematic literature review: Real-time 3D reconstruction method for telepresence system

Real-time three-dimensional (3D) reconstruction of real-world environments has many significant applications in various fields, including telepresence technology. When depth sensors, such as those from Microsoft’s Kinect series, are introduced simultaneously and become widely available, a new generation of telepresence systems can be developed by combining a real-time 3D reconstruction method with these new technologies. This combination enables users to engage with a remote person while remaining in their local area, as well as control remote devices while viewing their 3D virtual representation. There are numerous applications in which having a telepresence experience could be beneficial, including remote collaboration and entertainment, as well as education, advertising, and rehabilitation. The purpose of this systematic literature review is to analyze the recent advances in 3D reconstruction methods for telepresence systems and the significant related work in this field. Next, we determine the input data and the technological device employed to acquire the input data, which will be utilized in the 3D reconstruction process. The methods of 3D reconstruction implemented in the telepresence system as well as the evaluation of the system, have been extracted and assessed from the included studies. Through the analysis and summarization of many dimensions, we discussed the input data used for the 3D reconstruction method, the real-time 3D reconstruction methods implemented in the telepresence system, and how to evaluate the system. We conclude that real-time 3D reconstruction methods for telepresence systems have progressively improved over the years in conjunction with the advancement of machines and devices such as Red Green Blue-Depth (RGB-D) cameras and Graphics Processing Unit (GPU).
Central Bank Digital Currency—Initial Considerations

This paper briefs the Executive Board on staff's initial considerations on central bank digital currency (CBDC).
Non-Changeable Document using Blockchain

The concept of Non-Changeable Documents (NCDs) using blockchain technology is a pivotal development in ensuring data integrity and security. This paper explores the innovative approach of employing blockchain to create immutable records, guaranteeing the authenticity and integrity of documents. NCDs leverage the decentralization and cryptographic features of blockchain, rendering documents unalterable. Their application spans across various industries, including legal, healthcare, and finance, promising significant advantages in terms of fraud prevention, transparency, and compliance. This research paper also delves into the technical underpinnings of NCDs, elucidating the cryptographic mechanisms and consensus protocols that safeguard their reliability. By harnessing the decentralized and tamper-proof nature of blockchain, NCDs provide a formidable solution for organizations seeking to safeguard critical data against unauthorized alterations. This transformative potential of Non-Changeable Documents underscores their ability to elevate document security and establish trust in an increasingly interconnected digital landscape. In an era marked by data breaches and concerns over document authenticity, NCDs offer a promising avenue to ensure the integrity and security of sensitive information, reinforcing trust in digital records. Key Words: Blockchain, Documents, Fraud, Smart Contract, Ethereum Blockchain, Security
Edge Domination of the Nilpotent Cayley Graph of the Residue Class Ring

In their earlier study, the authors have obtained the properties of the nilpotent Cayley graph G (Zn,N) associated with the set of nilpotent elements N of the residue class ring (Zn, ⊕, ), modulo an integer n ≥ 1 and its vertex domination parameters. In this paper, the edge cover and its associated parameters of this graph are found.
IMPROVING THE SPEAKING SKILLS OF PRIMARY SCHOOL STUDENTS THROUGH A COMMUNICATIVE APPROACH

The purpose of this study is to find out the extent to which the communicative approach is able to have an appropriate influence on the speaking skills of elementary school students. The method used in this research is action research. This research was conducted at SD Negeri Tonga, The research subject was class V- A students totaling 24 students consisting of 11 boys and 13 girls. The participants involved in this study were the researchers themselves who acted as teachers who taught in class V-A and class V-B teachers as collaborators. The instrument used in this study was an observation sheet. Based on the results of data processing and analysis, the conclusion of the results of this study is that there is a significant improvement in speaking skills through a communicative approach in grade V students with theme one "Objects in the Environment," subtheme "Humans and the Environment". In cycle I, 13 students (54.17%) were complete, and 11 students (45.83%) were not complete. In cycle II theme two "Events in Life", subtheme "Various Events in Life", as many as 18 students (75%) were complete, and 6 students (25%) were not complete with an average score of 80.Keywords: Speaking Skills; Communicative Approach; Primary School
Inquiring Arabic-Islamic Debatable Terms to ChatGPT: Will it Take a Side?

In this paper, we argue that, as a powerful artificial intelligence (AI) language model, ChatGPT can be used to provide sufficient responses to questions regarding controversial Arab–Islamic terms. Therefore, this study aimed to examine the responses generated by ChatGPT regarding these terms, which are often debated by the community. By relying on a combination of content and sentiment analysis, we analyzed ChatGPT's response through the specific prompts submitted. The result shows that ChatGPT can provide sufficient and promising explanations regarding two concepts that are still considered debatable today, Jihad and Bid'ah in particular. Furthermore, the explanations generated from this AI language model are relatively balanced and moderate because they present multiperspective answers. In its conclusion part of each response, ChatGPT always warns that these terms described are labeled "complex" and "controversial" meaning there is no sentiment in favor of one particular view. This research implies that ChatGPT can be used to help us answer various questions or at least provide an understanding at the conceptual level, even though it is related to debatable matters.
Meningkatkan Literasi melalui Metode Batu-Basah pada Siswa di Sekolah Dasar Kota Samarinda

The purpose of this study was to improve the reading culture of elementary school children using the Batu Wet method, where the activity was carried out for three days. The problem that exists today is the lack of students reading, especially in non-educational books, which researchers teach using the wet stone method and are carried out for three days. This research method is a descriptive qualitative method where the data source comes from research results and secondary data comes from research results published in the form of publications. The data analysis technique used is data reduction to conclusions (observation results, student activity forms and student presentations). The results of this study were that on the first day of observation it was found that several students were still not very enthusiastic about participating in activities. On the second and third day of observation it was seen that students' interest in reading increased as reflected in the enthusiasm of students to take part in this reading and writing activity. Based on the results of the study it can be concluded that the Batu Wet method can be used to improve the reading culture and courage of class III students at SDN 007 Samarinda Ulu
Mineralogical and Petrographic Features and Mineral Formation Sequence of Gold-Antimony Ores from Udereyskoe Deposit (Krasnoyarsk Region)

The article presents results of petrographic and mineralogical studies of gold-antimony ores of the Udereyskoe deposit and their concentration products. The main mineral associations of ores are characterized, mineral forms of occurrence are revealed, and distribution of Au, Pd, Ag is estimated. The paragenetic scheme of mineral formation sequence was clarified and supplemented. The important mineral forms of gold occurrence are goldbearing arsenopyrite and native gold (Au,Ag), as well as rare aurostibite AuSb2 and intermetallides such as antimony gold (Au,Sb), and palladium gold (Au,Pd). The revealed diversity of forms of noble metals and analysis of their relationships with associating sulfides and nonmetallic minerals indicate at least two contrasting early and late stages of ore genesis. Early quartz-pyrite and late pyrite, which are two stages of mineralization, are determened within the early stage. Three consecutive stages of mineralization are established in the late stage: quartz-stibnite, pyrite-stibnite-quartz, and pyrite-arsenopyrite-stibnite.
Role of IT enabled knowledge management in strategic decision making: An empirical study

In today’ s world marked by ever-expanding technological advancements organizations face challenges in effectively managing their knowledge resources in order to ensure strategic decisions that play crucial role in deciding the competitive edge. IT that facilitates access, storage, retrieval and dissemination of knowledge make it easier for various organizations to manage their information resources as well as assists in constructive utilization of knowledge for strengthening their firm. Moreover, the role of IT in disseminating knowledge fosters effortless flow of knowledge at diverse levels of organizations, enhancing knowledge accessibility and encouraging knowledge sharing among workers. IT’s ability to supplement knowledge sharing attitude among workers also pave way to collaborative learning and teamwork contributing towards adaptability of the working environment. The significant and positive relationship that IT and knowledge management shares further confirm how technological advancement and its capabilities to help access extensive knowledge and classify the same enable in strategic decision making. The impact of IT enabled knowledge in increasing competitiveness, innovational ability and organizational agility aid in building a working environment that advance decision making capabilities. Research in this arena will help practitioners develop advanced ways that cater to harnessing potential of IT systems in order to help build fruitful knowledge management practices. A sample of 261 respondents was collected from management of different organizations. The four factors that identify the Role of IT enabled knowledge management in strategic decision making are Access to Information, Knowledge Discovery &amp; Sharing, Innovation &amp; Creativity, and Adaptability and Agility.
Type-3 Fuzzy Differential Evolution for Optimal Fuzzy Controller Parameterization

This chapter is presentingFuzzy Control the usage of Type-3 in Differential Evolution (DE) for achieving its parameter adaptationParameter Adaptation. Type-3 theory is a recently new idea, and a study is undertaken by varying a key component of type-3 sets, the Lower Lag, which is changed to form various fuzzy systems that are utilized to change the DE behavior with the goal of enhancing its convergenceConvergence. In this chapter we describe the original DE and later the proposed type-3 DE algorithm. We also illustrate the proposal with benchmark function optimizationOptimization and a fuzzy control problem.
Peningkatan Hasil Belajar Peserta Didik Dengan Model Pembelajaran Snowball Throwing Pada Pembelajaran Dasar Telekomunikasi

Based on the previous observations at SMKN 5 Telkom Banda Aceh on Basic Telecommunication subject, it presented that most students still lack of enthusiasm and interest in learning. They prefer did another in the class other than study. This problems faced the students in the classroom atmosphere noisy and disrupted learning activities. This has an impact on the students’value or score which got bad and down. The purpose of this study was to determine the learning outcomes of students and their responses to the application of the Snowball Throwig learning model in basic telecommunication learning at SMKN 5 Telkom Banda Aceh. This study uses a quasi-experimental design with one group pretest and posttest. By using test sheets and questionnaires, this research was carried out using quantitative data analysis techniques. The results showed that the learning outcomes of students increased significantly with the average pretest score of 28.50 increasing to the posttest average value of 71.00. So it can be concluded that there is an increase in student learning outcomes in Basic Telecommunication learning at SMKN 5 Telkom Banda Aceh with the application of the Snowball Throwing learning model. In addition to learning outcomes, student response data is good. This is evidenced by looking at the student's response to the positive statement of the questionnaire on average above 75%. It can be concluded that the application of the snowball throwing learning model is able to improve student learning outcomes and attract students' interest in learning.
Perancangan Sistem Akuntansi Penjualan Tunai Pada Toko Barasaki Siteba

The purpose of this study was to design a cash sales accounting information system used by Barasaki Stores. This research is in the form of observation and interviews. Data was collected by collecting data from Barasaki Stores directly by observing, videotaping all activities, documents and accounting records used, internal control system mechanisms, and functions involved in cash sales at Barasaki Stores, as well as conducting debriefings with store managers and employees which is related. Data were analyzed using descriptive data analysis techniques that compared theoretical knowledge related to the problem to be studied. The results of the analysis show that the cash sales accounting system is not in accordance with the theory, concurrent positions often occur in stores, there is no warehouse function and accounting function, and there are no records and documents related to the cash sales accounting system, and there is no printed serial invoice number on cash sales invoices &#x0D;
Translation quality on product label from English into Indonesian

The purpose of this research is to give better understanding about translation used in product label. The objectives of this research are: 1) to analyze the translation method of translation on product label used by translator; 2) to describe quality of translation (accuracy, naturalness, readability). This research uses descriptive qualitative method. The data is translation of product label from English into Indonesian taken by using purposive sampling method. To collect data, researchers use content analysis. Data is analyzed through data reduction, data display, conclusion and drawing. Then, in checking validity of this research, researchers use triangulation. The instrument of research was validated and quality of translations was scored by involving rater. The first finding of this research shows that translation method of translation on product labels used by translator are literal translation (26,67%), faithful translation (1,67%), free translation (38,33%), and communicative translation (33,33%). The second finding of this research about quality of translation are: (a) the accuracy of translation is 75% (first product), 50% (second product), 75% (third product), 50% (fourth product), 75% (fifth product); (b) the naturalness of translation is 75% (first product), 75% (second product), 50% (third product), 75% (fourth product), 50% (fifth product); (c) the readability of translation is 50% (first product), 100% (second product), 50% (third product), 75% (fourth product), 75% (fifth product).
A Comparison of Sensitive Information Detection Framework using LSTM and RNN Techniques

Sensitive information is meant to be stored securely to avoid any data breach. Hence this research emphasized on whether or not Long Short Term Memory and Recurrent Neural Network is suitable for sensitive information detection framework since performance analysis on this method are not common. In this research, the objectives are to design Sensitive Information Detection Framework using Deep Learning techniques, to detect sensitive information using LSTM and RNN techniques and to test and validate the sensitive information detection framework performance. This research uses raw data set given from Book Hack Enterprise company and by using Weka Explorer software tool to go through 5 phases in the proposed framework, which are Dataset, Preprocessing, Feature Extraction, Classification Algorithm and Performance Evaluation. This research evaluates the model performance based on Accuracy, Precision, Recall and F1-score.