Reviewerly/exHarmony huggingface dataset:
Enhancing IoT Security-Exploring the Application of Blockchain

These years the application of Internet of Things technology has significantly expanded, playing a crucial role in various domains. The widespread adoption of 5G networks has greatly improved communication efficiency, thereby fostering the rapid development of the Internet of Things (IoT). However, as the number of IoT devices continues to grow, the centralized management model on which IoT relied has exposed a series of security vulnerabilities, making IoT security a prominent area of academic research. Blockchain technology, with its decentralized and trustless nature, offers a reliable solution to enhance IoT security. This paper explores the application of blockchain technology in IoT security and presents several notable use cases.
A Method for Extracting Sensitive Information from Long Text Based on Natural Language Processing Technology

When extracting sensitive information from texts, the accuracy of the extraction results is low because of the unstructured attribute characteristics of text information data. Therefore, the design and research of long text sensitive information extraction method based on natural language processing technology are proposed. Fully considering the ways of text to avoid sensitive information, this paper uses Chinese automatic word segmentation technology in natural language processing technology to remove which words are and which are not words in multifunctional text, uses forbidden word list processing technology to delete function words that have no practical significance in text, and uses Chinese character component combination technology to mark split words in text, thus realizing the preprocessing of unstructured text information data. In the stage of sensitive information extraction, a model based on bidirectional cyclic network is constructed to extract sensitive information from long texts. In the test results, the TPR of the designed sensitive information extraction method is above 0.92, which has obvious advantages compared with the control group.
Image Encryption Algorithm Based on Henon Chaos Theory

The widespread application of image technology has made its security issues particularly important. The core of information security research is cryptographic technology, which is mainly based on nonlinear science and information science research. Among them, cryptography research represented by chaos has received high attention from many scholars in recent years. Utilizing the various excellent characteristics of chaos to construct secure cryptographic algorithms and applying them to multimedia secure communication such as images has become a hot topic in the field of information security. This article is based on Henon chaos theory for research and applies it to the design of image encoding and encryption, designing a specific scheme for encryption and decryption based on Henon chaos theory. Through experimental evaluation, it was found that the algorithm has a large key space and strong security.
Problem-guided Neural Math Problem Solvers

The Math Word Problem (MWP) refers to mathematical problems described in natural language. Recent research has mostly employed sequence-to-sequence (Seq2Seq) or sequence-to-tree (Seq2Tree) approaches to generate computational trees or expressions that help solve the problems. Some works have also treated MWP as a complex relation extraction task. These approaches have shown empirical effectiveness, but recent studies have indicated that these neural solvers merely establish a shallow mapping between text and arithmetic expressions, failing to effectively utilize the textual information of the problem to guide the reasoning process. In this work, to address the issue of neural solvers' limited utilization of text and problem information, we propose a novel architecture for the encoder and decoder, where multiple question representations are obtained from a transformer-based encoder to enhance the guiding capability of problem text information in the decoding process. Each decision in the decoder is guided by the encoded information of the problem text. According to our experiments, our approach demonstrates competitive performance on four benchmark datasets.
Cardiovascular Diseases in Oncological Patients Treated at a Tertiary Hospital in the Northern Macroregion of Rio Grande do Sul

Background: Cancers (CAs) are related to cardiovascular diseases (CVDs), mainly due to the cardiotoxicity of oncological therapies (OTs). Objectives: Analyze and describe the CVDs that affect oncological patients (OPs) before and after the diagnosis of CA. Methods: This is a retrospective cohort study carried out with OPs from a Tertiary Hospital in the Northern Macroregion of Rio Grande do Sul, in which data was obtained from medical records dated between 2011 and 2020, which were analyzed using statistical techniques, [...]
Inductive Ontology for Specifying the Contexture of Web Health Information Systems

Inductive ontology helps to describe the algorithm of process, application, architecture, plan, design, etc. It is easily pertinent for elaborating the concept. An ontology creator shows all connectivity of the core concept to another concept, procedures, and application with the five fundamentals i.e., properties, matter, energy, space, and time; hence, it made broader the idea plan of its users/reader enables to find out various connected elements relevant to the query on the direct and indirect way. The services sector has two main property-level functions first to develop/produce the service and second to provide the service. Both the property has specific phases of multiple processes i.e., creating services, owner/authority functions, user functions, identity, process, etc phase can be easily described in a graphical way. Here, a researcher describes the ontology for web-based health information systems (WHISs) by explaining two websites namely Web MD, and drugs.com. Both the WHISs are rich in information and data relevant to mankind's health, lifestyle.
A Modified Water Cycle Algorithm: An Opposition Based Meta-Heuristic Optimization to solve real world Engineering Problems

This paper proposes the Opposition based learning on a latest recent population based Water Cycle Algorithm on different benchmark constraint optimization techniques. Water cycle is a Hydrological based technique which works on better search location of the stream and river that flows to the sea which works on certain control parameters that will be defined initially and obtain the population matrix. With the help of the application of the opposition learning opposite search will be made to receive the better search location to find the better fitness value and avoid the premature convergence and get best convergence rate. This Proposed Opposition based Water Cycle Algorithm is implemented and tested on fifteen benchmark problems mentioning the fitness value as well as the constraints value. The convergence plot using a comparative study between Water Cycle Algorithm and Opposition based Water Cycle Algorithm, the proposed method had proved to obtain the best result and superior for the problems on to which it had implemented. The ANOVA test result is shown for the statistical analysis of the data obtained.
GEOLOGICAL INFORMATION ABOUT GEOLOGICAL PHENOMENA, THREATENING CITIES

It is statistically calculated, that in general one in every hundred thousand people on Earth dies from natural disasters. Natural disasters that have occurred around the world over the past 20 years have killed 1.3 million people and caused over $ 2.9 trillion in property damage, according to a report by the United Nations Office for Disaster Reduction (UNISDR). Research in recent years has shown that as a result of earthquakes, people mainly die due to errors by geologists, builders, manufacturers of building materials and other errors made by designers, managers and other participants in urban planning.и The reliability and objectivity of geological information, and the study of hazardous geological phenomena can be considered the main link in protecting the population from natural disasters. The application of artificial intelligence (Al) in construction is increasingly in demand throughout the construction industry, from planning to construction, including geological surveys and geological risk assessment.
Data Visualization in the Information Society

The study addresses the importance of data visualization (DV) in today's society, and its role in the effective communication and interpretation of data in various sectors. The cognitive nature of DV and the impact on decision making were analyzed. Likewise, different DV techniques and applications in fields such as healthcare, business management, scientific research, and academia are explored. Concrete examples of the application of DV in business management, scientific research, journalism, media, politics and government management are provided; and highlights the usefulness in each of these contexts. In addition, various tools and software that are widely used for VD are mentioned.
A Study on the Role of Artificial Intelligence on Buying Behaviour of Consumers in India

This case study looks at the ways that artificial intelligence (AI) has improved marketers' ability to understand and analyze Consumer Behaviour. To make their marketing strategy and plans more effective, marketers are researching consumer Behaviour on the internet. AI may be the answer given the vast volume of data that is already accessible and the regularity of data breaches. An image recognition system might be able to identify and categorize things in photos by analyzing millions of examples. When a chatbot sees examples of text interactions, it can learn to have realistic discussions with humans. Businesses now need to take advantage of the best AI talent to stay ahead of the competition. It can provide insight into every phase of the customer journey and aid marketers in comprehending the motivations underlying Consumer Behaviour. Stronger client relationships and a greater client lifetime value are possible consequences when done properly. AI may be used by marketing teams to interpret vast volumes of data in order to use the knowledge and pinpoint their target audience. Businesses can make use of it to develop user-centered sales funnels and build their marketing plans around them. In the end, more traffic is produced, which is advantageous for marketing departments trying to convert site visitors. Artificial intelligence (AI) and other technologies are transforming our understanding of and perspective on marketing..
Optimization of Fuzzy Regression Transfer Learning using Genetic Algorithm for Cross-Domain Mapping

Artificial intelligence and big data have become widely utilized in industry and thus machine learning has been extensively researched. However, it is challenging to apply existing data-driven methods when the amount of data is insufficient. Therefore, transfer learning, which reuses knowledge acquired from domains with similar data characteristics and tasks, has gained attention for achieving fast and accurate model learning in new domains. Although numerous transfer learning methods have been proposed for classification problems, few have been proposed for regression problems. Moreover, conventional fuzzy regression transfer learning tends to work well only in limited domain environments with extremely limited target data, making its application to real-world data challenging. The present study applies a combination of regression models based on Takagi-Sugeno fuzzy theory and transfers learning to regression problems in domains with incomplete knowledge. We propose two methods, one based on a genetic algorithm and one based on differential evolution combined with a genetic algorithm, for optimizing mapping for input space modification and applying them to real datasets. The results of evaluation experiments demonstrate that the proposed methods have higher efficiency and learning accuracy than those of conventional methods.
Manajemen Perpustakaan dalam Meningkatkan Literasi Mahasiswa

This study aims to determine the role of libraries, namely librarians, collections, management and increase the interest in reading students and female students of the Islamic University Tribakti Lirboyo Kediri. This research is aims to determine and describe the planning, procurement, use, inventory, inhibiting factors and supporting the library at the Islamic University tribakti. This study is a qualitative research using descriptive methods. Data collection was conducted by interviews, observations, and documentation studies. Data analysis techniques are carried out through descriptive interpretation, data validity test, participation extension, and auditing. Library planning is carried out by musyarawah, organizing is done by election and mutually agreed, implementation is carried out in accordance with the plan and according to their respective duties and supervision is carried out every day such as supervision of circulation and cleanliness, neatness and discipline services. The development of the collection is done by deliberation and submission from the user, the supporting factor is adequate facilities, the inhibiting factor is that the librarians available are not graduates from their fields.
Comparative Study of the Sorogan Method and Deliberation Method to Improve Kitab Kuning Reading Ability

This study was to determine how the comparison between the sorogan method and the method of deliberation on the ability to read the book on the students of Madrasah Ihya " Ulumiddin. This study the authors used quantitative methods. This study has three formulations of the problem, how the results of the Sorogan method in improving the ability to read The Kitab Kuning in Madrasah Ihya " Ulumiddin? How are the results and deliberations in improving the ability to read The Kitab Kuning in Madrasah Ihya " Ulumiddin? How the results of the comparison of Sorogan and Musyawaroh methods in improving the ability to read The Kitab Kuning in Madrasah Ihya " Ulumiddin PP Darussalam Lirboyo Kediri. The results, the ratio between the variables of sorogan and deliberation method to the variable ability to read the book (Y) is 0.764 or if it is projected to be 76.4%, and R calculate the variable sorogan method there is a comparison with the variable ability to read the book (Y) is 0.667 or if it is projected to be 66.7%. It can be concluded sorogan method is more effective on the ability to read the book.
Estimating and testing relations and trees on the basis of pairwise comparisons

Abstract The paper presents an ample account on author’s results, concerning the methods of estimating and testing of relations (equivalence, tolerance, preference) and trees on the basis of multiple pairwise comparisons with random errors, which are presented in a new book, Klukowski (2021c). The book contains also main results presented earlier in Klukowski (2011). The new content pertains mainly to: the preference relation with incomparable elements, trees and tests for verification of estimates of the relations. The estimators and tests have good statistical properties; estimators - consistency with good convergence, tests - known distributions of test statistics (exact, limiting or approximate). Some properties of estimates (precision and convergence) have been determined using the simulation approach. The results here reported gain in significance in view of the renewed interest in practical application of pairwise comparisons in various application domains, which give rise to various concrete data analysis problems.
THE FUNCTIONS OF E-LAUGHTER IN WHATSAPP CONVERSATIONS AMONG STUDENTS

The terms of e-laughter (haha, hoho, hehe) are implicitly understood by everyone (Larson, 2015). Mostly WhatsApp is used to share written messages and images. It is also has been used to share their emotions, such as laughter. This study intended to focus on types of e-laughter and the function in WhatsApp conversations. This study explored 30 WhatsApp conversations and 30 online surveys to achieve the aims and goals by using Conversational Analysis (CA). This study resulted that e-laughter in the forms of emojis are being used universally among students, and laughter particles are functioned to express the emotion of laughter as in face to face interaction in mobilising the topics in WhatsApp conversations. These findings suggested that emojis are of high frequency, functionality, and efficiency in WhatsApp communication. Interestingly, e-laughter played a vital role in reflecting the non-verbal symbols in face-to-face communication. In socio-emotional settings, people frequently use laughter emojis to create a lively atmosphere to boost conversation (Li &amp; Yang, 2018).Keywords: WhatsApp, written communication, emojis, e-laughter, conversational analysis
Career development for enhancing employability of students as prospective specialists in the university educational environment

Universities play an important role in providing a wide range of services and connecting all stakeholders, such as employers, alumni, and other community members to prepare students for future employment, establish networking with labour market representatives, assist them in integrating into the labour market, and develop students’ as potential specialists’ employability skills, thereby fostering their career development in the university educational environment. The aim of this study is to analyse the career related theories and propose a career development model for economics and business-focused universities. The following research methods were used: desk study, analysis and evaluation of scientific literature (theoretical research method); reflection of personal experience (empirical research method). The theoretical research emphasised modern career-related theories and resulted in a proposal for a career development model for a university. A mandatory course that formally prepares students as prospective specialists for employment and internship, exposure to the labour market via internship, networking events, and mental support provided by qualified psychologists, university teachers as part of an academic advising programme and alumni organized in the form of an alumni mentorship programme, are the main pillars of the proposed career development model.
INVOLVEMENT OF UKRAINE IN THE PROCESSES OF GLOBAL INTERACTION

Objective. The objective of the article is the analysis of the level of involvement of Ukraine in the processes of global interaction in the period of 2017-2021. Methods. The following cognitive methods and techniques are applied in the research process: theoretical generalisation and comparison, analysis and synthesis, induction and deduction, tabular and graphical methods. Results. It is established that globalization is the main mega trend at the current stage of development. It is determined that one of the most representative and authoritative indicators of globalization in general, the inclusion of countries in the processes of global interaction in particular, is the KOF Globalisation Index, which, from 2002, is systematically calculated and published by the Swiss Institute of Economics at the Federal University of Technology in Zurich. It is identified that the KOF Globalisation Index is detailed by indicators of economic (trade and financial globalisation), social (interpersonal globalisation, information globalisation, cultural globalisation) and political globalisation, each of which is given in three dimensions: average value, de facto value (actual level of globalisation - the real level of global interaction) and de jure (politics and other factors contributing to the development of globalisation; varies within 0-100, where 0 is the minimum value, 100 is the maximum). It is substantiated that in 2017-2021 Ukraine is a country that is actively involved in the processes of global interaction, which is reflected both in the dynamics of the actual participation of the country in the processes of international cooperation, and in the further development of institutions, facilities and other components of the pool of determinants of the development of international cooperation of countries. It is established that in the analysed period Ukraine achieved the greatest success in the sphere of political and social globalisation. It is proved that in the sphere of economic globalisation Ukraine is most actively involved in the processes of global trade interaction, in the sphere of social globalisation - in information interaction. It is established that in most spheres the level of de jure globalisation of Ukraine is higher than the similar de facto indicator (the exception is the sphere of economic globalisation, where the opposite situation is observed - the level of economic globalisation of Ukraine is de facto higher than the de jure indicator).
Genetic algorithms in the problems of solar power-station optimisation

Solving the tasks of finding the maximum in the field of renewable energy sources. The scientific work is devoted to the application of genetic algorithms to solve the problems of optimizing the efficiency of solar energy in renewable energy sources. The main focus of the work is on finding the maximum parameter values in solar power plants. The relevance of the study is due to the constant growth in the popularity of the use of solar energy and the need to increase its conversion efficiency. The application of genetic algorithms in solving the tasks of finding the maximum in solar energy is an important step in achieving optimal configurations of FES and ensuring the stable functioning of this type of power plants in general. The work includes the analysis of the influence of various parameters on the efficiency of photovoltaic panels and the development of optimal strategies for the use of genetic algorithms to improve their performance. The obtained results open up new opportunities for increasing the competitiveness of FES in the field of renewable energy sources. The genetic algorithm is recognized for its ability to provide quality results and work faster than the selection method. This method is widely used in world practice [6]. Modern algorithms for tasks where the size of the search space is so large that the exact finding of the optimal solution becomes impossible, then in such cases heuristic solutions meet the requirements, have also been studied. One of the goals of the research is the analysis of optimization algorithms and their applicability for solving the optimization tasks of solar energy. Genetic algorithms, although effective, have their limitations - in many cases, they tend to converge to a local optimum (or even an arbitrary point), instead of a global one. This indicates their inability to decide how to maintain high fitness in the short term. Additionally, the complication is related to how to protect evolutionarily formed parts from destructive mutations [7, 9]. In the process of research, the specified limitations were taken into account and mechanisms were developed to reduce their negative impact. The algorithm considered in the work is not only resistant to local minima, but also, due to the internal parallelism expressed in working with individual solutions, rather than whole classes of solutions, provides a relatively fast search for the optimal solution. Research methods basically use the iterative technique of improving results