Reviewerly/exHarmony huggingface dataset:
An Enhanced Genetic Algorithm using Directional-Based Crossover and normal mutation For Global Optimization Problems

Global optimization has been employed in many practical modeling processes. Using gradient methods to solve optimization problems may be computationally inefficient and time-consuming, particularly when convexity or differentiability is not guaranteed. On the other hand, nature-inspired techniques offer an effective gradient-free approach for solving complex, non-convex, or non-differentiable problems. Genetic algorithms are one of the most effective and widely used nature-inspired techniques. However, canonical genetic algorithms do not always guarantee convergence to the optimum point owing to the stochastic nature of the genetic operators, and typically require more work to ensure convergence and increase performance. Improving the genetic operators remains an open issue and usually involves a trade-off between the speed of convergence and searchability. In this study, we propose an enhanced genetic algorithm that relies on directional-based crossover and normal mutation operators to increase the speed of convergence while preserving searchability. The proposed algorithm is evaluated using a set of 40 typical benchmark functions in two dimensions. In addition, to examine its performance at higher dimensions, 16 functions from the test set were tested at 10 and 100 dimensions. The evaluation results of the proposed algorithm are compared to the outcomes of three modern optimization algorithms, namely (Whale optimization algorithm, Teacher-Learner based algorithm, and Covariance matrix adaptation evolution strategy). The results revealed that the proposed algorithm outperformed the conventional algorithms at lower dimensions in all test functions and showed a relatively better performance than the other algorithms at higher dimensions.
Linguistic Analysis of Hate Speech on Social Media

This article aims at defining the essence of “Hate Speech” and studying it as a source of neologisms and metaphors depicted on social media. Concerns about the relationship between inflammatory hate speech and violent acts have grown as a result of the rising number of attacks against people of different national, ethnic and religious affiliations, cultures, orientations and beliefs. The fact that the language of social media is characterized by tendencies to disguise the truth, reveal half-truths and ambiguous expressions and influence public opinion makes us realize that people especially public figures spare no effort to find effective terminology or phraseology in order to cast a shadow, ridicule or humiliate the opposing side through linguistic means. Therefore, the analysis of such linguistic peculiarities of social media gain a great importance in order to avoid the use of irrelevant terminology aiming at insulting and humiliation people.
Optimization algorithm of interacting countries and its application for solving problems of pharmacokinetics

With the increasing complexity of optimization problems in the scientific environment, evolutionary algorithms inspired by certain processes in the world are becoming increasingly popular. This paper proposes a new evolutionary algorithm for interacting countries, which is mostly inspired by classical genetic algorithm, island algorithm and migration algorithm. Next, in the article, we study the performance of the algorithm on classical test functions. The results of the algorithm demonstrate its suitability for solving optimization problems and the prospects for its further study. In conclusion, the application of this algorithm to the search for pharmacokinetic constants of the two-compartment model is considered.
Pengaruh Harga, Cita Rasa, Dan Kemasan Terhadap Kepuasan Konsumen Pada Canteen Anugerah School Sidoarjo

&#x0D; &#x0D; &#x0D; &#x0D; This study aims to examine the effect of price, taste, and packaging both individually and simultaneously on customer satisfaction at Canteen Anugerah School Sidoarjo. The population taken is consumers of Canteen Anugerah School Sidoarjo aged 10 to 70 years who made purchases in the last 2 months. 76 respondents filled out the questionnaire and met the requirements. The variables in this study are price, taste, packaging, and customer satisfaction of Canteen Anugerah School Sidoarjo, with indicators, namely price affordability, price compatibility with product quality, price competitiveness, price compatibility with benefits, smell, taste, oral stimulation, packaging quality, packaging innovation, conformity to expectations, interest in visiting again, and willingness to recommend. Data collection methods using questionnaires. The data analysis used is Multiple Linear Regression Test. The results showed that the price variable (X1) was found to have a t value of 1.569 &lt; 1.992 (t-table) and a sig. of 0.121&gt; 0.05. From these results, it can be interpreted that price has no influence on customer satisfaction at Canteen Anugerah School Sidoarjo. The Taste variable (X2) is known to have a t value of 4.851&gt; 1.992 (t-table) and sig. of 0.000 &lt; 0.05 and the Packaging variable (X3) is known to have a t value of 5.195&gt; 1.992 (t-table) and sig. of 0.000 &lt; 0.05. From these results, it can be interpreted that Taste and Packaging have an influence on customer satisfaction at Canteen Anugerah School Sidoarjo.&#x0D; &#x0D; &#x0D; &#x0D;
Features of competent models’ development in the field of information security

The article is devoted to the study of procedures for the formation of assessment tools in the training of departmental specialists implementing the functions of planning, implementation and control of organizational systems of higher and additional education, aimed at improving the mechanisms for forming information security policies and assessing the effectiveness of systems, tools and measures taken for informatization objects devoted to various levels of the hierarchy . The problematic issues being studied are related to the development of the theoretical foundations of management in organizational systems, methods and algorithms for solving management problems, including information and software. The results of scientific research, applied scientific research and qualification work for forming educational and methodological support for educational organizations and funds of assessment tools in the field of information security are analyzed, taking into account the features of competency models for the training of departmental specialists. The mechanisms and detailed procedures for the formation of assessment tools, focused on promising technologies for ensuring compliance of knowledge, motivational attitudes and skills with the competencies of a specialist in the field of information security, are generalized. Conceptual models of the competency modeling in object-oriented programming paradigms, new mathematical models for managing individual educational trajectories and designing competency-oriented tasks for assessing the development of competencies are proposed.
Information Quality Analysis of YouTube Videos on HIFU for Prostate Cancer: How much is too much?

Prostate adenocarcinoma is the most diagnosed cancer among men [1]. This highly prevalent disease in the localized stage is often tackled with either whole gland treatment (radical prostatectomy or radiation) vs. active surveillance [2-4]. However, in recent times there has been a push towards focal therapy with goals of eradicating significant cancer within the prostate while preserving genitourinary function [5,6]. Trans-rectal High-Intensity Focused Ultrasound (HIFU) ablation of prostate tissue) HIFU for prostate cancer, recently approved by the FDA offers patients and providers another treatment option to consider in management of this disease [7]. Thus, it is imperative that information that patients peruse be reliable and of good quality.
Secure 3: An Application of the Multiplication Approach for Enhancing Online Banking Security

In today's increasingly technologically driven world, the shift towards online activities has become ubiquitous, offering convenience and accessibility like never before. One such activity that has witnessed a substantial digital transition is banking, as more and more individuals opt for online banking over traditional in-person visits. This transition is not surprising given the quick and seemingly secure nature of digital banking. However, with the convenience of online banking come inherent risks, particularly in the realm of cybersecurity. With billion smartphone users accessing banking applications, it also creates opportunities for cyberattacks, putting personal information and financial assets at risk. Current security measures include two-factor authentication, involving PIN verification through text or email, and biometrics, such as fingerprint and iris scanning. These measures have proven useful but are not infallible, as hackers continue to find vulnerabilities. The author proposes an innovative solution Secure 3, which is an authentication method that integrates voice recognition with facial and fingerprint recognition, offering a comprehensive, multi-layered approach to identity verification. While these individual authentication forms exist in online banking, their combined implementation remains rare. The uniqueness of a user's voice, iris, and fingerprint renders them unstealable, offering enhanced security against cyber threats. Secure 3 may be a promising avenue to fortify online banking security and protect users from emerging threats in the digital landscape.
Data preprocessing approach for machine learning-based sentiment classification

Public sentiment regarding a particular issue, product, activity, or organization can be measured and monitored with an application based on artificial intelligence. The data come from comments circulating on social media. However, the rules for writing comments on social media have yet to be standardized, so non-standard words often appear in these comments. Non-standard words affect the determination of sentiment into positive, negative, and neutral categories. Therefore, this study proposes a data preprocessing approach by inserting the Rabin-Karp algorithm to improve non-standard words. This research consists of several stages, namely crawling data, data preprocessing, feature extraction, model development (based on Naïve Bayes (NB), Support Vector Machine (SVM), and Decision Tree (DT) methods), and analysis of the results. The experimental results showed that the proposed approach influences the determination of the sentiment category composition. Then, model testing results showed that all models obtain the highest value in the Positive category for the precision parameter with a value 1. All models in the Neutral category obtain the highest value for the recall parameter, almost reaching 1. All models in the Neutral category achieve the highest value of the f1-score parameter, with an average value of 0.95. In general, the results of the performance analysis of the classification model showed that the NB and SVM-based models have better performance than the DT method.
Comparison of 2015 and 2022 Revised Music Curriculum for Elementary School

Following the 2015 revised curriculum, a 2022 revised curriculum was announced. Through a literature review, this study investigates the 2015 and 2022 revised music curricula for elementary schools from diverse perspectives When the table of contents was compared, redundant goals and characteristics were grouped and sorted in an organized and uniform manner. In addition, the content structure and the value and attitude of achievement standards were further expanded in the 2022 revised music curriculum, compared wkth the 2015 revision. In terms of text-mining-based emphasis, term frequency, and term frequency-inverse document frequency, it is possible to examine the contexts similar to current social situations, such as competence, category, trans-curriculum, and artificial intelligence, in the 2022 revision. Through such research activities, this study makes the following suggestions, First, due to rapid social changes, it is necessary to strengthen the content structure of the music curriculum further. Second, a study should be conducted on how to evaluate the value and attitude categories. Third, the 2022 revised music curriculum must be critically reviewed. With regard to academic background, social context and the use of terms in such a curriculum, it is necessary to continue amending and upgrading the particularity and generality of the curriculum through continued studies.
Digital Technology and Copyright Protection the Challenges of Indian Performers Rights Society

Indian music is ever-green. Every restaurant, pub. Airports, stadium, television etc plays them making them world famous. India has 465 FM Radio stations which constantly play Indian Bollywood music. Though the song becomes well known the singer who sang the song is not recognized nor does he or she receive sufficient compensation for the song. The artist in India is the one who works so hard but ends up getting nothing. The ‘Indian Copyright law was amended in 2012’ to acknowledge the rights of performers. The singers were recognized as performers. The law provided for royalty to be paid to the singers. In reality this royalty never reached the singers. The problem for the singer was identifying the user playing his song and the problem for a genuine user was identifying the location of the singer to pay the royalty directly to him. Therefore, there was a need for an independent body to administer the copyright and collect royalty. ISRA is the bridge between the singer and the user which helps in collecting royalty. This article discusses the issues faced by the singers and the need to develop a smother collective administration of copyright.
Stochastic model of the smart power grid section functioning

A feature of large systems, in particular electric power systems, is that the entire system physical state of the is affected by a large number of interacting elements that are randomly in different states. The work relevance is caused by to the fact that construction of mathematical models taking into account the structure and features of the power grid functioning allows us to solve important problems of the energy intellectualization. The goal of the study is due to the desire to show the advantages that arise when using the apparatus of the hidden Markov models theory to semi-Markov models of intelligent electrical systems. To do this, we build a semi-Markov model of a section of a distribution power grid (intelligent electrical grid). Using the theory of semi-Markov processes with a common phase space of states, it is possible to determine the temporal characteristics of the system reliability and obtain a more adequate model. However, territorial dispersion, inaccessibility of some sections of electrical networks and the widespread introduction of automation tools give rise to new problems. For a timely response to various factors, it becomes necessary to as-sess and forecast the states of the system (sections of the system) depending on the signals received in the course of its operation. This can be achieved by applying the hidden Markov models theory. Reliability characteristics are determined and, using the algorithm of stationary phase enlargement, an enlarged semi-Markov model of the section of the intelligent distribution grid is built, which allows passing to the finite state space of the model. Using the merged model, the parameters are determined and a hidden Markov model is developed, for which the most probable states corresponding to a given signal vector are found, the elements subsequent states of the modeled system and signals are predicted. The final part of the article provides an example of finding the reliability characteristics of the system and solving a number of problems in hidden Markov models theory.
Learning Mathematical Logic and Sets Using E-Learning

Video is a learning medium that is simple to integrate into a variety of activities, both online and offline. As a result, video development, including studying mathematical logic and set material, is essential. This research aims to develop project-based educational videos on mathematical logic and mathematics material. This research is development research using the Richey Klein (DPE) development model. There are three stages of development: design, production, and evaluation. This educational video was implemented on 25 students in the third semester of the Mathematics Education Study Program (FKIP UAD). The results of the material expert assessment showed a score of 4.23 (good category) and the media expert assessment scored 4.55 (very good category). Besides that, the student’s response during implementation got a score of 3.9 (good category).
SOC for Cybersecurity &amp; SOC 2® for Service Organizations – An empirical study on industry’s perspective

ABSTRACT Businesses across the globe have been going digital. A paradigm that has been accelerated due to pandemic. This has resulted into creation of a complex cyberspace. Further, organizations have become linked and dependent on each other, due to increased outsourcing as well as shift towards cloud computing. This has also led to creation of various industry standards and frameworks that help organizations evaluate their own and their provider’s practices related to system reliability, information security and cybersecurity. Amongst these, SOC2 for service organizations and SOC for Cybersecurity are two leading reports that help organizations assess system reliability and cybersecurity. AICPA recognizes it has that there is confusion amongst the applicability of these reports, and therefore it has created some guidance on how these two reports are different and how they can be leveraged by organizations. This guidance provides an inside-out perspective driven by purpose of these reports and the methodology used to create these reports. The industry (practitioners, implementors and vendor managers, CXOs) perspective on the applicability and distinction of these reports was not yet available. This research brings out industry (practitioners, implementors and vendor managers, CXOs) perspective on the applicability and distinction of these reports. Findings indicate that SOC2 demand and usefulness is perceived high whereas SOC for Cybersecurity demand and usefulness is perceived low by the industry. Findings of this research also indicate that industry excepts AICPA to simplify SOC2 reports and make them easier to understand. Keywords: SOC2, SOC for Cybersecurity, systems reliability, AICPA, trust services criteria
Use of E-Learning Tools in Teaching and Learning English

Information and Communication Technology (ICT) plays a pivotal role in every walk of life in the present world. The teaching methodology has undergone a profound transformation due to very prevalent of technology and its tools. Technology and e-learning has become a buzz word during the Covid-19 pandemic time. The world has shut down for the first time and all the educational institutions are closed with uncertainty of its reopen. There is no chance of conducting classroom-based teaching and learning. At this juncture, the compelled option is online teaching and learning. This paper introduces some of the useful tools and technics to overcome the problem classroom teaching learning English language. It also helps to learn language skills independently. These tools provide opportunities for motivating students learning and collaborative nuance. Majority of the tools which are discussed in the paper can be used for the enhancement of four skills (LSRW) of language.
APPLYING MEMRISE APP TO IMPROVE STUDENT’S VOCABULARY IN ONLINE LEARNING DURING THE COVID 19 PERIOD AT JOYKIDS PRIVATE LESSON

This study aims to apply the Memrise application to improve vocabulary learning for joykids private lesson students on learning during the pandemic. This research is qualitative descriptive research. This research was conducted at Joykids Private lesson in Surabaya. The research subjects were 8 Joykids Private lessons from grades 3 to 5 with beginner English skills. The instruments used are observation, documentation, and interviews. Data collection techniques in this study are data reduction, triangulation, and concluding. The results showed that the ability of students after learning to increase vocabulary through the application was excellent and helped students in increasing English vocabulary during the pandemic. Research shows that this Memrise application-based research is a valuable method for improving students' vocabulary with a fun way of learning.
Analisis Sentimen Game Genshin Impact pada Play Store Menggunakan Naïve Bayes Clasifier

Online games are an entertainment medium that cannot be separated from some groups of people, especially during the co-19 pandemic. The existence of a policy of violence reduces the interaction of people in the world, including in Indonesia, resulting in an increase in online activity, especially playing games. Game is an interesting online gaming platform, where players can still interact socially boldly. Genshin Impact is a mobile game that provides other platforms such as PC, PlayStation and Nintendo Switch. Although some people like this game, others are not satisfied with the game play. Sentiment analysis is also very useful when game developers want to know what users think about the game experience. This research aims to build a model of the classification of reviews on the Genshin Impact game available on the Google Play platform, so that the resulting model can provide recommendations for developers for improvement. The results obtained are reviews on the Google Play Store tend to be positive with an accuracy score of 87%, precision of 67%, memory of 98%, and f1 score of 67%. Evaluation is done by comparing the model that has been obtained in this study with the previous model with the same algorithm.
Middle school students’ cultural and artistic activities Effects on self-esteem and happiness

This study uses data from the Korean Children and Youth Integrated 2018 provided by the Korea Youth Policy Research Institute, and the effect of cultural and artistic activities on the self-esteem and happiness of middle school students in the middle of adolescence. Is to find out. Therefore, it is to confirm the effect of cultural and artistic activities, which play an important role in the formation of emotions in adolescence, on the self-esteem and happiness of middle school students. The analyzed sample is the contents of the middle school student panel of the Korean Children and Youth Panel Survey 2018 responding to cultural and artistic activities, self-esteem, and feelings of happiness, and the exogenous variables of cultural and artistic activities were limited to music and art. Excluded. As for the analysis method, a model of the structural equation was established, and the causal relationship between culture and art activities, self-esteem, and happiness of middle school students was confirmed. The programs used for the analysis are SPSS and LESREL.&#x0D; As a result of the analysis, cultural and artistic activities of middle school students had a direct effect on self-esteem and happiness, and self-esteem was also related to happiness. However, contrary to expectations, cultural and artistic activities showed a negative effect in the path of happiness, and showed a positive effect through the mediation of self-esteem. These results suggest that middle school students need to discuss cultural and artistic activities in a variety of ways, and that participation in cultural and artistic activities should be activated for the development of healthy emotions in adolescence.