Reviewerly/exHarmony huggingface dataset:
Changes in the orthographic principles of the Hungarian language based on the last three spelling rules

Twelve editions of the publication entitled The Rules of Hungarian Orthography have been published so far. In each new edition there was an attempt to update the rules according to era and language use.&#x0D; The principles of Hungarian orthography had already appeared in the first stage of academic unification, as the edition entitled The Principles and Rules of Hungarian Orthography, published in 1877, containing the four principles of spelling: following pronunciation (writing in accordance with pronounciation), word analysis, traditional spelling and simplification. In this study, the spelling principles that form the basis of Hungarian orthography is compared with the three most recent regulations The Rules of Hungarian Orthography.&#x0D; In this study, the trends of Hungarian spelling principles have been surveyed from the regulations published in the first edition in 1832 to the present day. It has been presented how long the principles of Hungarian orthography have determined the rules of Hungarian orthography. These principles were present from the very beginning and guided the Hungarian orthography and its development. The changes were not significant, they only tried to bring closer the regulations to the language use adjusted to the language use of the given era. The principles of Hungarian orthography did not change radically at the beginning of the 20th century, despite the fact that relevant efforts were taken in the rules of Hungarian orthography. In the last three editions the principles have remained in their original forms, only minor changes have been taken.
The Impact of Digital Entrepreneurship on High Performance at Zain Jordan Telecom Company

Study design/ methodology: This study aimed to investigate the impact of digital entrepreneurship on high performance in the Jordanian Zain Telecom Company.The study was conducted on a sample of managers consisting of ( 104) managers from all administrative levels in the company, data were collected from them through the electronic questionnaire, the researcher adopted the descriptive analytical method in the study .The study identified five dimensions to represent digital entrepreneurship, namely: digital leadership, digital knowledge, digital finance, digital culture and digital innovation, while four dimensions were identified to represent high performance: continuous improvement, quality of the workforce, teamwork and flexible work system.Findings: The results of this study indicated that there are high levels of interet for the company's management in the dimensions of digital entrepreneurship and the dimensions of high performance, and that there is a significant impact of digital entrepreneurship on high performance, and that all dimensions of digital entrepreneurship have a significant impact on high performance.The study presented a set of recommendations, including the company's continued interest in interacting with its external environment to keep abreast of the changes and developments surrounding it, whether in terms of technology or management, and following up on everything new in the world of business and digital leadership, focusing on teamwork to preserve its intellectual capital and striving for employee satisfaction And follow multiple strategies, such as the special rewards strategy that raises and enhances their performance.
Enhancing Reading Skills among Children with Specific Learning Disabilities

This article presents a literature review and recommendations on enhancing reading skills for children with specific learning disabilities.Immediately after a child is diagnosed as encountering problems in reading, we must start to plan interventions for them.This article coincides with the education demands on ensuring sustainable development among children with specific learning disabilities.We hope more reading instructions can support children with specific learning difficulties to ensure a better education.The results of this study can provide a clearer picture of the prototype product direction that needs to be developed to help more children who encounter reading difficulties.Recommendations are made through framework design and intervention with interactive teaching kits to capture their attention while learning a language.We also developed three-dimensional books covering 10 Bahasa Malaysia word clusters.Hence, language will be much easier to learn by grouping the words based on the level of difficulties.It is also important for teachers to understand students' abilities in planning learning activities accordingly.
Pembuatan Game Animasi Teka Teki Silang Menggunakan Adobe Flash CS6

Computer technology is one of the technologies that can help accelerate human work. Computer technology has been applied in various fields including education, health, offices, telecommunications, business, military and so on, as well as in the world of entertainment. One form of entertainment including games, games are very rapidly developing along with advances in computer technology. Games are very much in demand both from children, adolescents to adults. The game itself is of various types, one of the games that enjoy doing and is educational for children and adolescents at the moment is a quiz-shaped game. Flash is a software that is generally used to make an animation, but currently flash is widely used for other things, for example making websites, games, etc. The purpose of this final project is to design animated games for children and people adults train their memory and outside insights about computers. Children and adults should never get bored with learning, thus helping children and adults learn about technology and make it easier for children and adults to learn general knowledge of technology and about computers. From the results of this study, it can be seen that the crossword animation game general knowledge about basic computer-based flash levels can find out more clearly about Adobe Flash CS6.
Sistem Informasi Rekam Medis Pada RSU Elpi Al-Aziz Menggunakan Bahasa Pemrograman VB.NET 2010

RSU Elpi Al-Aziz is an agency engaged in public health services. At RSU Elpi Al-Aziz, in providing services to patients, drug data collection, prescriptions and reports are still done manually or not computerized. Patient data storage media using paper media resulting in the search for data is done by browsing the archives that can take time and prescription making is still done by handwriting where there can be errors recording and making reports related to medical records are still done manually by recording patient data through archives that can take time but it is vulnerable to errors. To support the development method of Medical Record Information System that is made now the author uses the waterfall method by using system development tools in the form of flowcharts, context diagrams, DFD, and database design tools proposed in the form of ERD. As well as data collection techniques with research methods by observation, interviews and literature studies. Implementation of the computer program used in this medical record information system using Visual Basic 2010 programming language with MySQL database that provides facilities to facilitate the process of making information systems and product implementation. The Information System created can overcome the problems that exist in RSU Elpi-Aziz. Storage Media, processing of patient data, medical records, and drugs have been computerized so that the process of public health services can be done quickly and avoid mistakes and facilitate performance at RSU Elpi Al-Aziz.
Perancangan Aplikasi Kamus Bahasa Batak Menggunakan Metode Searching

In modern times like today, of course there are many dictionaries in circulation, ranging from books, desktop, web, and even mobile. And each has its advantages and disadvantages. For example, a conventional dictionary in the form of a book, has advantages in terms of the amount of vocabulary but requires a long time in terms of Word Search, and less practical to carry anywhere. To overcome this, a mobile-based dictionary is the answer. The author designed the batak language dictionary application with the hope of answering the expectations of users who need a practical and responsive dictionary. The dictionary has not been designed using the searching method. Every country even in a narrower scope, today the development of technology has produced several devices, one form of application. The application is a device that can run several features such as a communication medium that is easy to use and easy to understand so that if there are people who want to learn it will be very easy to understand and for people, especially batak blood also if they do not understand their own language by using this application will understand where the shortcomings in the batak language.
Sistem Informasi Pengajuan Judul Skripsi Fakultas Ilmu Komputer Universitas Panca Budi Menggunakan Bahasa Pemrograman Berbasis Web

Universitas pembangunan pancabudi in submitting thesis titles and approving thesis titles still in a simple way, remembering that now the technology is already sophisticated, so the writer makes an information system for submitting titles online, namely by way of students submitting thesis titles and head of study program approving thesis titles online, after that the head of study program enters a supervisor who will guide students but, students can print a certificate form as proof that the title of the thesis has been approved, with this system is expected to facilitate students in the submission of thesis title. With this new system, students and related sections will be easier to submit and process data that includes all thesis title submission data so that the title submission process can run effectively. In addition, students will be easier to get the information needed to facilitate students in the process of submitting thesis titles and get the signature of the head of the study program system as well as to get the signature of the supervisor so that students do not need to come to the campus to see the results of the submission of thesis titles this application is designed by using PHP and MYSQL as the database with a web-based programming language.
Summer of migration: consolidating institutional repositories into a redesigned singular platform

Purpose The purpose of this paper is to describe a state mandated merger of two institutional repositories from two separate campuses of a university into one new institutional repository. Due to a State Legislature mandate, the University of South Florida was required to merge institutional repositories from two campus into one new institutional repository. Design/methodology/approach USF Libraries formed a committee, planned for the migration and executed of the migration. Findings The authors discovered many unforeseen issues during the process of the migration such as difficulties with site redirects and hidden collections. Originality/value This project was a large-scale migration of institutional repositories, under a tight deadline due to a legislative mandate, that has not been discussed in detail in the literature.
Advance Role of Computers in Modern Research Study

There is a lot of interest in advanced computing technologies when it comes to artificial intelligence. This paper is designed to help promote the research and application of advanced computing technologies by providing a forum for researchers and practitioners from around the world to exchange research results and share development experiences. The papers featured in this anthology cover various aspects of advanced computing technologies and experimental studies of some application systems.
Cloud computing: google firebase firestore optimization analysis

Cloud computing is a new paradigm that provides end users with a secure, personalized, dynamic computing environment with guaranteed service quality. One popular solution is Google cloud firestore, a global-scale not only structured query language (NoSQL) document database for mobile and web apps. Recent research on cloud-based NoSQL databases often discusses the difference between them and SQL databases and their performance. However, using cloud-based NoSQL databases such as firestore is tricky without any scientific comparison methodology, and it needs analysis of how its particular systems work. This study aims to discover what is the best design that could be implemented to optimize data read cost, response size, and time regarding the cloud firestore database. In this study, we develop a grade point average (GPA)-report mocking application to assess data read based on our institution’s needs. This application consists of three functions. Add the graduated GPA and students’ names, and view the ten highest GPAs, GPA average, and total graduated students. The finding indicates that aggregating data on the client side or utilizing the Google cloud function trigger, then updating aggregation data in one transaction significantly reduces document read count (cost), response size, and time.
Data storage architecture for e-government interoperability: Morocco case

&lt;span lang="EN-US"&gt;Nowadays, the amount of data created by the government and public sector organizations is growing at an exponential rate. Data sharing and the interoperability of e-government systems pose technological challenges. The lack of technical interoperability prevents the successful exchange and sharing of information among public organizations. To meet this challenge, enhancing interconnection and communication between different public infrastructures is an essential condition. To optimize the provisioning of storage resources, software defined storage (SDS) solutions add flexibility and adaptability to the storage process by isolating the hardware from the software. Hyper-converged infrastructure (HCI) is an emerging set of SDS solutions that provide compute, network and storage in a single platform. This paper presents a storage HCI-based architecture to store public data from different public entities, enhance collaboration and improve technical interoperability. The relevance of this approach of e-government interoperability is to allow public organization to store their data in an efficient and flexible manner on one hand, and to participate to Morocco’s e-government project on the other hand.&lt;/span&gt;
Hybrid agile development phases: the practice in software projects as performed by software engineering team

&lt;span lang="EN-US"&gt;The combination of scrum and waterfall is one of the software engineering teams that preferred hybrid agile models. The purpose of combining the two models is to leverage the advantages of each also to tailor the hybrid agile model to the needs of the project. However, to what extent are the phases, stages, and features of scrum and waterfall implemented in a software project remains unclear. Additionally, which phase will employ scrum, and when will waterfall be deemed optimal is also the arising question. This research adopted a qualitative study, and interviews are used as a data collection instrument. The interview is conducted based on an interview protocol, and thematic analysis is utilized to extract the themes from the interviews. This study investigates how the scrum and waterfall models are utilized in a software project, and three themes were identified in answering the research question. The findings indicate five development phases in a hybrid agile project and that waterfall is the preferable model in planning, while development is on scrum, and project testing and deployment could be either waterfall or scrum.&lt;/span&gt;
Efforts of Performance Optimization: The Experiment on Ten Accounting Datasets

In the big data and digitalization era, fast-accurate decision-making has become a basic need, so data mining has a crucial role. The decision tree algorithm is quite commonly applied for classification functions, but performance level must always be evaluated for optimizing accuracy rate. Several optimization methods to accommodate these objectives include GA-bagging, PSO-bagging, forward selection, backward elimination, SMOTE, under-sampling, GA-Adaboost, and ABSMOTE-WIGFS. The results of the decision tree experiment on ten types of accounting-finance datasets used in this study obtained results with an average accuracy of 83.46%, an average precision of 65.64%, and an average AUC of 71.9%, while the majority of various optimizations are proven in improving the performance of decision tree algorithm where the application of ABSMOTE-WIGFS method is proven in providing the best rate with an average accuracy 87.71%, an average precision 87.09%, and an average AUC 84.87%, so it can be concluded that various optimization efforts are worth to be applied in case of accounting-finance themes for increasing the performance rate. Furthermore, the next research can prove these methods in other fields outside of accounting cases.&#x0D; &#x0D;
Positive Matrix Factorization of Large Aerosol Mass Spectrometry Datasets Using Error-Weighted Randomized Hierarchical Alternating Least Squares

Abstract. Weighted positive matrix factorization (PMF) has been used by scientists to find small sets of underlying factors in environmental data. However, as the size of the data has grown, increasing computational costs have made it impractical to use traditional methods for this factorization. In this paper, we present a new weighting method to dramatically decrease computational costs for these traditional algorithms. We then apply this weighting method with the Randomized Hierarchical Alternating Least Squares (RHALS) algorithm to a large environmental dataset, where we show that interpretable factors can be reproduced using these methods. We show this algorithm results in a computational speedup of 38, 67, and 634 compared to the Multiplicative Update (MU), deterministic Hierarchical Alternating Least Squares (HALS), and non-negative Alternating Least Squares (ALS) algorithms, respectively. We also investigate rotational ambiguity in the solution, and present a simple “pulling” method to rotate a set of factors. This method is shown to find alternative solutions, and in some cases, lower the weighted residual error of the algorithm.
THE IMPACT OF ARTIFICIAL INELLIGENCE ON E-COMMERCE

Online retailers are now using AI to improve the shopping experience for customers, optimize inventory management and logistics, and detect and prevent fraudulent activity (Bawack et al.,2022). However, the incorporation of AI into e-commerce also raises a number of legal and ethical considerations, including issues related to data privacy and the potential impact on employment (Drew et al.,2018).This report aims to explore the various ways in which Artificial Intelligence is being implemented for e-commerce and to assess the potential benefits and challenges of using AI in this context. In addition, the report will consider the legal and ethical implications of AI in e-commerce and will look ahead to emerging trends and technologies that are likely to shape the industry in the coming years.
Transformation of Payment in Education Use Bitcoin with Reduced Confirmation Times

Significant changes in the financial system are prompted by the growth of the national economy, particularly as a form of payment. The means evolved from barter to things or commodities to metal and paper as the base materials for money before arriving at barter. With such significant changes, there is also a need for a transformation in the world of education in order to welcome technological advancements and one way to survive the changes in the increasingly rapid digital era. As the economic need increases, trade transaction methods shift from traditional to internet-based. One of the necessary international online payment options is bitcoin. For many applications where payments are modest and instantaneous approval is required, Bitcoin is inappropriate because of the high transaction fees and long confirmation periods. As a result, despite the introduction of numerous rival cryptocurrencies to address these problems, the Bitcoin network continues to be the most extensively used payment method. Unquestionably, new finding of this research that effectively address the problems of high transaction costs and transaction verification times are needed if the company is to benefit from its user network. The Lightning Network (LN), which makes use of off-chain bidirectional payment channels between participants, is one of the most recent payment network concepts to be proposed.
Detection Method of Marine Floating Garbage based on Improved Faster R-CNN

Traditional marine floating garbage cleaning is implemented manually. Workers have to suffer from the poor environment and intensive tasks, which reduce their efficiency. Neural network can help automate the process, and thus free workers from the heavy labor. This paper proposes a neural network network-based method to improve the accuracy of garbage identification and classification, especially for the small-sized garbage. The method combines the improved Faster R-CNN target detection model and Resnet50. According to the characteristics of marine floating garbage, the parameters of fast r-cnn are determined through repeated experiments, which improves the accuracy of small target detection. Experimental results show that the method provides a comprehensive recognition rate of up to 79,36%.
Analisis Subjek dan Metadata Arsip di Polsek Limapuluh Kota Pekanbaru

This study aimed to find out how to analyze the subject and archive metadata at the Limapuluh PoliceSector, Pekanbaru City. The method used is descriptive with mixed quantitative and qualitative, with a sample of 189 archives in the Criminal Investigation Unit of the Limapuluh Police Sector, Pekanbaru. Data collection techniques are observation, interviews, and documentation. The results showed that from a total of 189 archives, the percentage of archives was very high on the subject of theft as many as 139 archives (73.54%), followed by the subject of Embezzlement (6.88 %), Cheating and Fraud (4.76%),crimes against public order (4.23%), Crimes against morality (3.17%), Printing of Criminal Aid Receipts (3.70%.), Persecution (1.59%), Crimes Against People's Liberties (0.53%), Crimes Against Life (0.53%), Destroying or Damaging Goods, (0.53%), the Limapuluh Police Sector in Pekanbaru, has already put it efforts to matching the Metadata of the Police Archives. So that it has complied with provisions in inputting data into the register book. The Limapuluh Police Sector provided easy access to conventional metadata, within the year 2017 to 2019
Variational Quantum Search with Exponential Speedup

Abstract With powerful quantum computers already built 1,2 , we need more efficient quantum algorithms to achieve quantum supremacy over classical computers in the noisy intermediate-scale quantum (NISQ) era 2,3 . Grover's search algorithm 4,5 and its generalization, quantum amplitude amplification 6 , provide quadratic speedup in solving many important scientific problems 7 . However, they still have exponential time complexity as the depths of their quantum circuits increase exponentially with the number of qubits 6,7 . To address this problem, we propose a new algorithm, Variational Quantum Search (VQS), which is based on the celebrated variational quantum algorithms 8,9 and includes a parameterized quantum circuit, known as Ansatz. We show that a depth-10 Ansatz can amplify the total probability of k ( k ≥1) good elements, out of 2 n elements represented by n +1 qubits, from k /2 n to nearly 1, as verified for n up to 26, and that the maximum depth of quantum circuits in the VQS increases linearly with the number of qubits. We demonstrate that a depth-56 circuit in VQS can replace a depth-270,989 circuit in Grover's algorithm, and thus VQS is more suitable for NISQ computers. We envisage our VQS could exponentially speed up the solutions to many important problems, including the NP-complete problems, which is widely considered impossible.