Reviewerly/exHarmony huggingface dataset:
Development of Number Theory and the Application in Cryptography

The primary focus of number theory, one of the fields of fundamental mathematics, is on the characteristics of integers. The development of cryptography also benefited greatly from the contributions of number theory. The paper primarily examines the evolution of number theory and its use in cryptography using a method of literature review. The study discovers that number theory development in the East reached a prosperous phase in the 1930s. From the 15th and 16th centuries through the 19th century, number theory flourished in the first. Number theory is still being developed, as demonstrated by the discovery of the biggest known prime number by American mathematician Curtis Cooper. Numerology is also extensively employed in cryptography, including the RSA technique and digital signatures. Numerous algorithms used in cryptography mostly depend on a working understanding of number theory.
Trust-Aware Certificateless Signature on IIoT Sensors using Blockchain Technology

The Industrial Internet of Things (IIoT) has brought about enormous changes in both our individual ways of life and the ways in which our culture works, transforming them into an unique electronic medium. This has enormous implications for almost every facet of life, including clever logistical, smart grids, and smart cities. In particular, the amount of gadgets that are part of the Industrial Internet of Things (IIoT) is increasing at such a fast pace that numerous gadgets and sensors are constantly communicating with one another and exchanging a substantial quantity of data. The potential of spying and hijacked assaults in messaging services has grown as a result of the creation; as a direct consequence of this, protecting data privacy and security has become two key problems at the current moment. In recent years, a protocol known as certificateless signature (LCS), which is both better secured and lighter, has been more popular for use in the development of source of energy IIoT protocols. The Schnorr signature serves as the foundation for this method’s underlying mechanism. In spite of this, we found that the vast majority of the currently implemented CLS schemes are susceptible to a number of widespread security flaws. These flaws include man-in-the-middle (MITM) attacks, key generation centre (KGC) compromised attacks, and distributed denial of service (DDoS) attacks. As a potential solution to the issues that have been discussed in the preceding paragraphs, we, the authors of this work, suggest an unique pairing-free provable data approach. In order to develop a revolutionary LCS scheme that is dependable and efficient, this plan takes use of the most cutting-edge blockchain technology as well as smart contracts. After that, in order to verify the dependability of our system, we simulate both Type-I and Type-II adversary and run the results through a series of tests. The findings of a system security and a summative assessment have shown that our design is capable of providing more reliable security assurance at a lower overall cost of computation (for illustration, limited by around 40.0% at most) and transmission time (for example, reduced by around 94.7% at most) like other proposed scheme.
EduChain: A Blockchain-Based Privacy-Preserving Lifelong Education Platform

With the popularization of lifelong education, academic and vocational education run through the life of students. However, the traditional lifelong education platform has three problems, namely incoherent achievement data, poor privacy protection, and vulnerability to single-point attacks, which seriously hinder the development of the lifelong education industry. This paper proposes a lifelong education platform based on blockchain supporting privacy protection (EduChain). The access control on achievement data is realized based on proxy re-encryption, and anyone can trace achievement data to the issuing organization through digital signature technology. EduChain can realize the credible transfer and privacy protection of lifelong education archives between students and checkers. The experiments demonstrate the practicality of EduChain in education scenarios.
Harmonic Shapes

The seven notes of the major scale have since long formed the basis for music theory and music analysis in a European and Anglo-American context. Diatonic music is divided into different keys based around a specific tonal centre – the tonic. This article highlights music that does not conform to the traditional harmonic movement within a key. Such music usually requires an unnecessarily complex theoretical explanation using established theoretical concepts when analysing tonal content. Some musicologists use traditional analysis to demonstrate how, for example, rock music differs from more traditional key-centred music. Other musicologists claim that certain music has established a practice and a tonal language of its own and should be analysed as such. So, how should harmony in music be defined, if not through the notion of traditional keys? In this article a new concept is proposed – harmonic shapes. These shapes are outlined over a pitch space, and can serve as a tool both for analysis and for creating music. Maybe a concept like this can help creators break free from a traditional framework, and still have a kind of dogma and direction for their creativity?
SHORT-CUT COSTING OF PROCESS VESSELS USING Al AND CONVENTIONAL TECHNIQUES

The paper will describe an analysis of a set of real industrial data on the relationship between the cost and size of chemical process pressure vessels. The measures of size include: height, diameter, wall thickness, type, orientation and material of construction, together with the number and size of nozzles. The purpose of the investigation is to provide the company with methods of rapidly estimating the approximate final cost of the item when no detailed design work has been attempted. The approaches to be compared include multi linear regression (MLR), neural networks (NN), fuzzy matching, rational functions and other non-linear models.<br> MLR was used to give a base point from which to judge the other methods. We have shown that neural networks, having a particularly simple structure, can provide good estimates from a minimum amount of information and the technique of fuzzy matching can yield reasonable accuracies. However, because we had a limited amount of data we were keen to reduce the number of fitted parameters to a minimum. In this regard, the rational and new non-linear forms had much to recommend them. With a small original data set, the non-linear models seemed to be the most attractive method, but if a larger resource was available for analysis then the NN and fuzzy matching ideas had much merit.
MEASURED AND ESTIMATED SOLAR RADIATION IN THE ARABIAN GULF COAST

This paper presents the actual global solar radiation on a horizontal surface along with the prevailing meteorological conditions encountered during the measurement period from January 1<sup>st</sup> to December 31<sup>st</sup>, for one complete year, in the Arabian Gulf Coast near the city of Dhahran. High resolution, real time solar radiation and meteorological data were collected, and processed. Hourly, daily, and monthly statistics of solar radiation was made from the one-minute-averaged recorded values. The highest measured daily, and monthly mean solar radiation were found to be 351 and 328 Wm<sup>&minus;2</sup>, respectively. The daily maximum amount of over 1000 Wm<sup>&minus;2</sup> solar radiation was observed in the summer season, from May to September. Beside the global solar radiation measurements, the main observed meteorological parameters were temperature, pressure, wind speed, precipitation, and relative humidity. On the other hand, the estimation of daily and monthly mean global solar radiation was performed based upon two empirical formulas which relate the solar radiation to the sunshine duration, relative humidity, maximum temperature, the latitude of the monitoring location, sunset hour and declination angles. The agreement between the measured and estimated solar radiation values was found to be satisfactory. Nevertheless, the empirical formula underestimates the solar radiation values during summer, and overestimates during winter.
Interpreting Network Protocols

Now that we know how to perform the requirements for our packet captures to include the different parameters for the communications as well as the ability to set filters on the network traffic we capture, it is time to turn our attention to the different protocols that are part of any network investigation from analysis of intrusions all the way up to collection of forensics evidence. When you think of it, all that we do on the Internet, none of this would be possible without the network protocols that drive our client to server communications.
Needs Analysis of Digital-Based History Learning Resources in Senior High School

Contextualization of history learning can be done by utilizing the environment and phenomena, namely by using historical learning resources in the environment, one of which is a museum. However, the problem is that distance and time are not possible if the teacher takes the students to the museum location. An alternative solution for this learning period is the development of digital learning resources in the form of virtual museum tours for historical subjects. Before developing these learning resources, it is necessary to conduct an introduction to the main research on the development of historical learning resources. The purpose of this study was to determine the analysis of the needs and effectiveness of the Sriwijaya museum virtual tour as a digital history learning resource on learning outcomes in class X at a state senior high school in Palembang. The research method used is the mixed method with a qualitative approach and Classroom Action Research. The results of this study indicate that 71.8% of students are interested in simulating a visit to the Sriwijaya virtual museum via smartphones and that 100% of teachers need interactive learning resources and proven effectiveness in improving student learning outcomes to get an N-gain of 0.57 in the medium category.
Regulatory sandbox for innovation: International evidence and implications for Vietnam

The development of digital technology, innovative products, services and new business models promises to play an important role in ensuring economic growth and delivering social benefits. However, the development of these products, services and new business models is often delayed or prevented due to lack of regulatory framework. This study aims to present issues related to innovation promotion policies in the world: innovation hubs, policy experiments, and regulatory sandbox, as well as practices in Vietnam. The study has shown that the sandbox is a valuable tool to promote innovation across countries, especially in the Fintech sector. However, the sandbox is not the only one to promote innovation. In other cases, innovation hubs perform more efficiently promoting innovation than other strategies. In Vietnam, many new products and services (car booking apps and Mobile Money) have been allowed to operate as part of the new industrialization and modernization under a unique mechanism known as "a pilot". The sandbox is currently under development for a Decree proposition and has only been applied to Fintech solutions in the banking sector.
Twitter Sentimental Analysis for Businesses Using Python Web Services in Salesforce Cloud

The presence of social media platforms has not only enabled the people to exchange personal views about the things that run around their lives but also provided the business organization to tackle with the reviews and reach their customers in quick manner, enabling the public relations (PR) teams, sales teams and marketing teams to address the issue quickly. The process of resolving the tickets, queries and tackling the reviews requires an automated process that actually helps the marketing teams to analyze the emotion of the consumer over social media. Using the sentimental analysis, organizations can understand the issue quickly and resolve it before it could reach a wider audience and probably lead to defamation of the business organization. With the growing reach for businesses over the globe, it is quite necessary for the marketing teams to address the negative reviews reach wider users and help the organization understand the issues with the product or service of the organization. This paper explains the approach for sentimental analysis, categorizing the emotion, raising a ticket over Salesforce platform. Salesforce is a platform that helps in managing relations with customers and potential customers, replying to the user from the same platform without going away to another platform.
A novel recurrent neural network of gated unit based on Euler's method and application

The main focus of this paper is to interpret the neural networks as the discretizations of differential equations, which has more benefits for analyzing the intrinsic mechanisms of neural networks.Under this theoretical framework, we propose a conditionally stable network unit called the GUEM, which is based on the Euler's method for ordinary differential equations and the gated thought in recurrent neural networks.Moreover, we build a sequenceto-sequence recurrent neural network based on the GUEM and fully connected layers, which does not amplify perturbations caused by noises of the input features.Finally, the numerical experiments of inverse scattering problems demonstrate the effectiveness and efficiency of our network.
Leveraging Demonstrations for Learning the Structure and Parameters of Hierarchical Task Networks

&#x0D; Hierarchical Task Networks (HTNs) are a common formalism for automated planning, allowing to leverage the hierarchical structure of many activities.&#x0D; While HTNs have been used in many practical applications, building a complete and efficient HTN model remains a difficult and mostly manual task.&#x0D; &#x0D; In this paper, we present an algorithm for learning such hierarchical models from a set of demonstrations.&#x0D; Given an initial vocabulary of tasks and accompanying demonstrations of possible ways to achieve them, we present how each task can be associated with a set of methods capturing the knowledge of how to achieve it.&#x0D; We focus on the algorithms used to learn the structure of the model and to efficiently parameterize it, as well as an evaluation in terms of planning performance.&#x0D;
PELATIHAN PEMBUATAN MEDIA PEMBELAJARAN BERBASIS TIK MELALUI APLIKASI ANIMAKER

Training activities for making learning media through the Animaker application are a response to the need to improve teacher skills in the context of developing interesting and interactive learning media. With the hope of being able to foster interest and motivation in student learning. The training method is carried out using a face-to-face classical approach. The purpose of the training is to open the teacher's insight and knowledge about the development of animaker application learning media. As well as being able to develop it independently. The results of the training showed that the teacher gained new knowledge related to making ICT-based learning media with the Aniamker application, was able to make IT-based learning media, and was able to be creative in order to innovate in making videos and other teaching media. Overall the response of the teachers in both schools was enthusiastic in participating in the training activities until the end of the implementation and hoped that there would be a continuation of the following activities.
Using a Hierarchical Taxonomy, Load Balancing in Cloud Computing

The performance and effectiveness of computer resources are decreased by the load unbalancing problem is a multi-variant, multi-constraint issue.Overloading and underloading have two undesirable effects, which are addressed by load balancing procedures as a remedy to load unbalancing situations.disregarding how crucial load balancing methods are for To our knowledge, there isn't a comprehensive, extensive, systematic, or hierarchical classification of the many load balancing techniques.systems now in use.Moreover, neither the literature nor any studies have been done on the elements that lead to load unbalancing issues.An exhaustive overview of loadbalancing strategies is provided in this piece.Future load balancing algorithms must overcome significant obstacles while pointing out the advantages and disadvantages of existing techniques.New insights on load balancing arealso proposed in the research.
Madrasa Agility In The Digital Age: Increasing Flexibility And Countering Artificial Intelligence Threats

This study aims to analyze the sustainability of Madrasa in the digital era by focusing on two aspects, namely increasing flexibility and dealing with the threat of artificial intelligence. This research was conducted using the library research method, with data collection techniques in the form of systematic literature reviews. The results of the study show that the sustainability of Madrasa in the digital era is very dependent on the ability of Madrasa to increase flexibility and face the threat of artificial intelligence. Increased flexibility is carried out by developing learning programs that can be accessed online and offline, using innovative learning technology, and involving teachers and students in the learning process. Meanwhile, to deal with the threat of artificial intelligence, Madrasa need to improve digital capabilities and prepare teachers and students to face changes in an increasingly complex and dynamic world of work. Madrasa also need to strengthen Islamic values ​​and wisely introduce artificial intelligence concepts. The sustainability of madrasa in the digital era requires a holistic approach, which includes aspects of technology, management, and curriculum. In the face of artificial intelligence, madrasa need to strengthen their identity and reputation as institutions that provide high quality education and strong Islamic values. Madrasa also need to strengthen Islamic values ​​and wisely introduce artificial intelligence concepts. The sustainability of madrasa in the digital era requires a holistic approach, which includes aspects of technology, management, and curriculum. In the face of artificial intelligence, madrasa need to strengthen their identity and reputation as institutions that provide high quality education and strong Islamic values. Madrasa also need to strengthen Islamic values ​​and wisely introduce artificial intelligence concepts. The sustainability of madrasa in the digital era requires a holistic approach, which includes aspects of technology, management, and curriculum. In the face of artificial intelligence, madrasa need to strengthen their identity and reputation as institutions that provide high quality education and strong Islamic values. Keywords: Madrasa, Agility, Digital, Artificial Intelligence
Batang Bayang River Flood Modeling Based on Rain Return Period

West Pasaman Regency is one of the regencies in West Sumatra that experiences flooding the most. In 2020, in April and September, floods occurred in the West Pasaman district, more precisely around the Nagari Ujung Gading area, Lembah Melintang District. Floods most often inundate the Jorong Lombok and Jorong Irian areas. The flood that occurred was caused by the overflow of the Batang Bayang river. Puddles of water inundated at least 150 residents' houses until the water level reached a height of 1 meter. The problem of flooding almost every year is felt by residents who live near the location of the Batang Bayang river. This study aims to determine the flood discharge of the Batang Bayang river with return periods of 2, 5, 10 and 25 years. Then this study also aims to determine the ability of the Bayang Bayang River to flow flood discharge for 2, 5, 10 and 25 years return periods. The results show that the 2-year return period produces a maximum flood discharge of 47.2 m/s3. In the 5-year return period it produces a flood discharge of 110 m/s3, in the 10-year return period it produces a flood discharge of 143.6 m/s3 and at the return period of 25 years resulted in a flood discharge of 189.2 m3/s. The cross section modeling in the 2 year return period resulted in a water elevation of 21.07 meters. The 5-year return period modeling results in a water level elevation of 22.4 meters. The 10-year return period models the water at an elevation of 23.01 meters and the 25-year return period produces a water level of 23.72 meters.
Internet of Things Communication, Networking, and Security: A Survey

The Internet of Things (IoT) integrates billions of smart devices that can communicate with one another with minimal human intervention.It is one of the fastest developing fields in the history of computing.It is a promising system that needs new protocols and architectures in comparison to conventional networks.Security has to be tackled effectively in this system as it considered one of the main critical issues.Because heterogeneity is an inherent feature of IoT, it raises a large number of security concerns that must be addressed through new methodologies like cryptographic algorithms to mitigate the risk.The goal of this work is to provide a comprehensive survey of ML methods and recent advances and methods that can be used to develop enhanced security methods for IoT systems.IoT security threats that are related to inherent or newly introduced threats are presented, and various potential IoT system attack surfaces and the possible threats related are discussed.
Redesigning UI/UX of A Mobile Application Using Task Centered System Design Approach

Digital transformation requires a software system development method to identify and analyze user needs. In this research, software system development uses the Task Centered System Design framework with several stages, including identification, needs analysis, design, and evaluation. The identification stage is carried out by conducting interviews with stakeholders, and then the results of the interviews are analyzed and approved by stakeholders. This study aims to obtain user needs to build an application interface by applying the steps of the Task Centered System Design method and usability evaluation and calculating the weight of the feasibility value by testing the Heuristics method and System Usability Scale on the solution application design. The evaluation phase aims to determine the value of the usability problem in the design that has been designed. The evaluation phase uses the Usability Heuristic method by involving experts in the field of software development and the System Usability Scale method involving end users. After conducting research from the identification to the evaluation stage, the average severity rating of the Heuristic Usability test component scored less than 1 (one) in the second iteration, and the System Usability Scale results scored 70.3 for admin and 73.75 for the customer application. This result is in grade C with an adjective rating of Good.