Reviewerly/exHarmony huggingface dataset:
Generative model for learning quantum ensemble with optimal transport loss

Abstract Generative modeling is an unsupervised machine learning framework, that exhibits strong performance in various machine learning tasks. Recently we find several quantum version of generative model, some of which are even proven to have quantum advantage. However, those methods are not directly applicable to construct a generative model for learning a set of quantum states, i.e., ensemble. In this paper, we propose a quantum generative model that can learn quantum ensemble, in an unsupervised machine learning framework. The key idea is to introduce a new loss function calculated based on optimal transport loss, which have been widely used in classical machine learning due to its good properties; e.g., no need to ensure the common support of two ensembles. We then give in-depth analysis on this measure, such as the scaling property of the approximation error. We also demonstrate the generative modeling with the application to quantum anomaly detection problem, that cannot be handled via existing methods. The proposed model paves the way for a wide application such as the health check of quantum devices and efficient initialization of quantum computation.
COMPOSITION AND DEVELOPMENT CHARACTERISTICS OF STUDENTS' ACADEMIC COMPETENCE IN HIGHER EDUCATION

In the article, it is stated that the educational competence of students, which is the basis of quality personnel training of the higher education process, is a set of competencies related to the independent cognitive activity of the student, including logical, methodical, general educational activity elements, real cognitive objects, his motivational, cognitive, active and creative. developing the structure of character components on the basis of lower, middle, and higher-level features, important qualities of educational competence, such as the ability to set a clear goal and achieve the goal, form cognitive tasks and put forward hypotheses, independence, cognitive activity, elimination of shortcomings in the educational process willingness to do and task decision-making efficiency are interpreted
Multiple context-free path querying by matrix multiplication

Many graph analysis problems can be formulated as formal language-constrained path querying problems where the formal languages are used as constraints for navigational path queries.Recently, the context-free language (CFL) reachability formulation has become very popular and can be used in many areas, for example, querying graph databases, Resource Description Framework (RDF) analysis.However, the generative capacity of context-free grammars (CFGs) is too weak to generate some complex queries, for example, from natural languages, and the various extensions of CFGs have been proposed.Multiple context-free grammar (MCFG) is one of such extensions of CFGs.Despite the fact that, to the best of our knowledge, there is no algorithm for MCFL-reachability, this problem is known to be decidable.This paper is devoted to developing the first such algorithm for the MCFL-reachability problem.The essence of the proposed algorithm is to use a set of Boolean matrices and operations on them to find paths in a graph that satisfy the given constraints.The main operation here is Boolean matrix multiplication.As a result, the algorithm returns a set of matrices containing all information needed to solve the MCFL-reachability problem.The presented algorithm is implemented in Python using GraphBLAS API.An analysis of real RDF data and synthetic graphs for some MCFLs is performed.The study showed that using a sparse format for matrix storage and parallel computing for graphs with tens of thousands of edges the analysis time can be 10-20 minutes.The result of the analysis provides tens of millions of reachable vertex pairs.The proposed algorithm can be applied in problems of static code analysis, bioinformatics, network analysis, as well as in graph databases when a path query cannot be expressed using context-free grammars.The provided algorithm is linear algebra-based, hence, it allows one to use high-performance libraries and utilize modern parallel hardware.
CRIMES AGAINST OF BUSINESS ACTIVITY: EXPERIENCE OF THE REPUBLIC OF UZBEKISTAN

This article is dedicated to the institute of criminal law regulation of business activity in the Republic of Uzbekistan. In this article, the author conducted a criminal-legal analysis of crimes related to obstruction, illegal interference in business activities according to the Criminal code of the Republic of Uzbekistan. Therefore, researching of criminal law regulation of business activity in the example of the Republic of Uzbekistan, analyzing its objective signs has a very special significance. The author reveals the social essence of criminal law regulation of business activity in Uzbekistan danger. And, namely it has been provided specifics of criminal legal protection of entrepreneurial activity in the criminal law of Uzbekistan are determined by the model of the economic system and the legal regulation of economic relations in the state.
Hybrid JAYA algorithm for workflow scheduling in cloud

Workflow scheduling and resource provisioning are two of the most critical issues in cloud computing.Developing an optimal workflow scheduling strategy in the heterogeneous cloud environment is extremely difficult due to its NP-complete nature.Various optimization algorithms have been used to schedule the workflow so that users can receive Quality of Service (QoS) from cloud service providers as well as service providers can achieve maximum gain but there is no such model that can simultaneously minimize execution time and cost while balancing the load among virtual machines in a heterogeneous environment using JAYA approach.In this article, we employed the hybrid JAYA algorithm to minimize the computation cost and completion time during workflow scheduling.We considered the heterogeneous cloud computing environment and made an effort to evenly distribute the load among the virtual machines.To achieve our goals, we used the Task Duplication Heterogeneous Earliest Finish Time (HEFT-TD) and Predict Earliest Finish Time (PEFT).The makespan is greatly shortened by HEFT-TD which is based on the Optimistic Cost Table .We used a greedy technique to distribute the workload among Virtual Machines (VMs) in a heterogeneous environment.Greedy approach assigns the upcoming task to a VM which have lowest load.In addition, we also considered performance variation, termination delay, and booting time of virtual machines to achieve our objectives in our proposed model.We used Montage, LIGO, Cybershake, and Epigenomics datasets to experimentally analyze the suggested model in order to validate the concept.Our meticulous experiments show that our hybrid approach outperforms other recent algorithms in minimizing the execution cost and makespan, such as the Cost Effective Genetic Algorithm (CEGA), Cost-effective Load-balanced Genetic Algorithm (CLGA), Cost effective Hybrid Genetic Algorithm (CHGA), and Artificial Bee Colony Algorithm (ABC).
A Study on the Actual Condition of Accounting Education of Korean University in Uzbekistan

[Purpose]The purpose of this study is to help universities that want to enter foreign countries, especially Uzbekistan. To this end, the current state and education in Uzbekistan were analyzed.In addition, the purpose of this study is to suggest a direction in which accounting education can be effectively conducted based on the experience of running the department of management and accounting.&#x0D; [Methodology]Through theoretical research, the current situation, education system, and higher education status of Uzbekistan were analyzed.Based on experience in Uzbekistan, author described the actual conditions such as university admission and management and accounting department curriculum.Then, for an empirical study, students received 134 questionnaires and analyzed the direction in which accounting education could be effectively conducted.&#x0D; [Findings]Students in Uzbekistan have difficulty with accounting in general rather than specific parts of accounting, because the concept of capitalism is weak. Also, the terminology of the major is difficult, making accounting more difficult. Therefore, professor will need frequent and easy explanations so that students can easily understand and familiarize themselves with the concepts of capitalism and accounting terminology. And students wanted the professor to solve many exercise, but since accounting is a practical science, they will have to solve many exercise so that they can learn practical skills.&#x0D; [Implications]This study provides help to universities that want to enter Uzbekistan, and presents an effective accounting education method through empirical research. Although this study is an empirical study in Uzbekistan, it is considered that this study will be helpful to universities that want to enter foreign countries other than Uzbekistan.
Audio Visual Based Learning Media in Learning the History of Human Life in the Pre-literacy Age in Indonesia

The development of audio-visual-based learning media does not have problems with media limitations and students' low interest in the learning process. The aim of the study was to develop an audio-visual-based learning media in history learning, and the feasibility of audio visual based learning media in history learning. This research is Research and Development (R&amp;D) with ADDIE model. The test subjects involved 36 students of class X IPA 4. Techniques and data collection instruments using questionnaires, observations, interviews, and documentation. The data analysis technique used qualitative and quantitative analysis. The results of the study the development of audio-visual-based learning media on material about pre-literate human life in Indonesia was made using the Adobe Photoshop application. The level of utilization of the results of the validation of media experts, and learning experts, respectively with an average result of 4.73 (very good), 4.28 (very good), 4.50 (very good), and student results of 4.37 (very good). In conclusion, the audio-visual-based learning media developed is feasible to be used as a historical learning media. The implication is that there is a change in positive attitudes and student interest in learning history.
The Practicality and Effectiveness of Poetry Text Learning Kit in E-Learning

Curriculum and the pandemic require teachers to teach poetry text using e-learning kits that allow the use of technology. Virtual face-to-face Learning kits prepared by teachers must be reconstructed according to the conditions of students in e-learning. However, practical and effective learning kit needs to be studied further. Thus, this study aimed at developing an e-learning oriented poetry text learning kit that was practical and effective in Indonesian language learning. The subjects of this study were teachers and the tenth-grade students. Observation, questionnaire, and test methods were used to obtain data. The results by the teacher and students showed that the learning kit made was very practical. Effective learning kits are used in learning. There is a significant difference between learning outcomes in the experimental and control groups. The average value of the experimental class was 83, which was higher than the control class, which only reached an average grade of 74. The poetry text learning kit was oriented towards practical e-learning strategies and is effectively used in learning as an alternative to online learning.
Physics E-book with Augmented Reality to Improve Students’ Interest in Physics

In the 21st century, science and technology are becoming important factors in education to support teachers and students in accessing learning resources easily. This study aims to develop physics e-books with augmented reality in PBL and to determine the effectiveness of e-book physics with augmented reality in PBL to increase student interest. The research method uses the type of Research and Development (R&amp;D) research with 4D models, namely Define, Design, Develop, and Disseminate. The subjects of the limited product trial consisted of 30 students, while the subjects of the broad product trial consisted of 105 students. Sample selection technique using random sampling technique. The results showed that physics e-books with augmented reality on temperature and heat materials are very feasible to be used in learning based on assessments by experts in media and material aspects and are suitable for use based on student responses. The use of augmented reality-assisted physics e-books in learning shows that students' interest in learning physics in experimental classes is better than control class 1 and control 2. This shows that the use of interesting augmented reality-assisted physics e-books is able to attract interest in learning so that students are more active in learning.
CIVIL LEGAL ANALYSIS OF THE ORGANIZATIONAL AND LEGAL FORM OF COLLECTIVE MANAGEMENT OF PROPERTY RIGHTS IN COPYRIGHT

Since a collective rights management organization is formed directly by right holders and acts within the framework of powers received from them under the contract, it can be said that the activities of such an organization are membership-based. In this case, we say that the association of entities to form a legal entity for the protection of copyright is expressed in the management of these rights on a collective basis. Membership of rights holders in the organization is one of the important elements characterizing collective management organization. These reforms are related to issues such as ensuring the rights and legal interests of authors, putting an end to the unauthorized use of copyrighted works, fair payment of copyrights and strengthening accountability measures for copyright violations. In addition, a large number of cases of unauthorized use of author’s works and non-fair payment of copyright to authors indicate the growing need to develop the institution of collective management of author’s property rights. In our country, there are a number of issues that are waiting for their solution, and the regulation of copyright-legal relations, in particular, collective management of copyrights in its protection, and the research of the processes related to the copyright contract are urgent tasks. In addition, the article focuses on some current problems related to the improvement of this institution, international standards of copyright protection and comparative legal analysis of national legislation, as well as the opinions of scientists from Uzbekistan and other countries. Proposals and recommendations of scientific and practical importance for the development of copyright were put forward.
Learning CHARME models with neural networks

In this paper, we consider a model called CHARME (Conditional Heteroscedastic Autoregressive Mixture of Experts), a class of generalized mixture of nonlinear nonparametric AR-ARCH time series. Under certain Lipschitz-type conditions on the autoregressive and volatility functions, we prove that this model is stationary, ergodic and $\tau$-weakly dependent. These conditions are much weaker than those presented in the literature that treats this model. Moreover, this result forms the theoretical basis for deriving an asymptotic theory of the underlying (non)parametric estimation, which we present for this model. As an application, from the universal approximation property of neural networks (NN), we develop a learning theory for the NN-based autoregressive functions of the model, where the strong consistency and asymptotic normality of the considered estimator of the NN weights and biases are guaranteed under weak conditions.
Financial strategy dynamics and university sustainability in a depressed economy: Evidence of Nigerian University

Universities contributions to human resource development is contingent on financing capabilities to be able to compete globally and proffer economic solutions to national issues. This study examines financial strategy dynamics and private university sustainability in a depressed economy: evidence from Nigeria. The population of study comprises the 36 private universities in southwest Nigeria as at 31st December 2021. Six universities having over ten years’ operating experience form the sample size, this is to be able to adjudge the financial sustainability of the universities. Seventy-two (72) questionnaire were distributed, out of which 62 (86%) were returned and analysed by multiple regression method. The results showed that university environment, dependable leader, organizational culture, networking and public relations impact positively on university sustainability as the t-test is greater than the p value at 5% significance level (t-test = 0,320, 6.933, 0.120, 0.300 and 1.114 respectively); while financial strategy has no impact on university sustainability, with t-test (-0.026) less than the p-value. Private university should provide robust university environment, dependable leader, organizational culture, networking and public relations that drive capabilities that can source external funds in form of grants, donations, universities’ collaboration initiative for cross-stimulating ideas in the deployment of advanced technology; innovation and creativity into lecture delivery and seminars to serve as competitive advantages. Inadequate funding will cripple universities sustainability and technological advancement reducing academic value and quality.
The effect of leadership style on employee motivation, case study: Al-Neelain University in Sudan -Khartoum)

At every level of the company, the efficacy of leadership is essential. In order to motivate, various firms adopt a range of leadership styles and techniques. By putting in place frameworks that maximize employee potential, utilize organizational resources, and provide guidance, leaders may inspire their workforce. On the other hand, they can make it extremely difficult to instill trust, buy into the company's goals, promote alignment, and create a collaborative environment. Therefore, the purpose of this study is to examine the relationship between employee motivation and leadership style at Sudan's Al-Neelain University. The outcomes of the investigation were determined by the researcher using the quantitative approach. A questionnaire that was sent to administrative staff members at Al-Neelain University was used to collect the primary data. The statistical analysis, which was done using SPSS 22, revealed that motivation and leadership styles had a generally positive significance.
Solar Floor Cleaner Robot

Abstract: Households of today are becoming smarter and more automated. Home automation delivers convenience and creates more time for people. Domestic robots are entering the homes and people’s daily lives, but it is yet a relatively new andimmature market. However, a growth is predicted and the adoption of domestic robots is evolving. The purpose of this project is to design and implement a Vacuum Robot Autonomous. Vacuum Cleaner Robot is designed to make cleaning process become easier rather than by using manual vacuum. The main objective of this project is to design and implement a vacuum robot prototype. Vacuum Robot will have several criteria that are user friendly
Web Vulnerability Scanning Framework

Abstract: The increasing reliance on web-based systems has brought cybersecurity to the forefront of concerns for organizations and individuals alike. In this paper, we present a framework that leverages open-source tools for information gathering (reconnaissance) and vulnerability assessment in web-based systems. The framework is designed to be hosted as a website, providing a user-friendly interface for cybersecurity practitioners to conduct reconnaissance and identify vulnerabilities in their target systems. Through integration of various open-source tools, our framework enables efficient and effective information gathering and vulnerability scanning, aiding in the identification and mitigation of potential security risks. Our framework contributes to the field of cybersecurity by providing a unified solution for reconnaissance and vulnerability assessment in webbased systems. The integration of open-source tools and the flexibility of our framework make it a valuable resource for cybersecurity practitioners.
Returing Image-The Captcha Initiator

Abstract: The CAPTCHA is used to provide the security against the malicious software by generating a test which only a human can complete. The CAPTCHA stands for Completely Automated Public Turing test to tell computer and human apart. Currently, we are using CAPTCHA are image and text-based data. The reusable CAPTCHA security engine will provide a better way to generating the data for CAPTCHA and will increase the difficulty in bypassing the system by use of improved algorithm. CAPTCHAs are designed to prevent bots – programs that pose as humans on the Internet – from abusing internet services. Bots, driven not to dominate but to sell, sign up for thousands of free email accounts every minute, sending millions of spam messages from them. Such reading-based CAPTCHAs exploit the large gap between humans and machines in their ability to read images of text.
Cardless Transaction in ATM

Abstract: A lot of financial transactions are carried out using automated teller machines, or ATMs. However, ATM frauds, such as card skimming and PIN theft, continue to be a major concern for both customers and financial institutions. Face detection technology has come to light as a promising solution to increase the security of ATM transactions. Face detection technology can authenticate users by precisely identifying them based on their facial features, adding yet another level of security to ATM transaction processes. This research paper provides an overview of the use of face detection technology in ATM transactions and highlights how it has the potential to improve security by reducing fraud and unauthorised access.
Face Based Attendance System

Abstract: The face-based attendance system is a cutting-edge technology that utilizes facial recognition to accurately record attendance in various settings. It eliminates the need for traditional attendance methods and offers advantages such as increased accuracy, improved efficiency, enhanced security and real-time data insights. However, it also raises concernsrelated to privacy, data security, and ethical considerations, which must be addressed through appropriate safeguards. This abstract provides a brief overview of the face-based attendance system, highlighting its benefits and potential concerns, and emphasizes the need for organizationsto implement proper protocolsto ensure responsible and ethical use of this technology.
Career Recommendation System

Abstract: Career recommendation system aims to offer direction and assist students in selecting engineering streams with the help of a WebApp. Nowadays, there are more educational courses available, making it easier for students to pick courses that interest them. However, in the 22nd century, more than half of the youths do not exercise their freedom of choice and make wellinformed decisions. A number of factors contribute to this. One of the main reasons is the lack of awareness of all the available options. The other well-known hindrance is the family pressure of following a well-known or previously followed path when it comes to choosing a career. This results in candidates ending up in the wrong fields and dropping out of college midway through the course. As a result, time and money are wasted. Moreover, it may happen that a deserving candidate was denied a seat in an institution since its capacity was full at the start of the course. The proposed WebApp aims to develop a system that would suggest a course based on certain fundamental information about the student such as academic performance, extracurricular activities, personal interests and aims. The WebApp will try to mimic the role of a career counselor, use a chatbot to interact with the student and recommend to them the branches of engineering that align with their interests the most, by making use of Machine Learning to provide an unbiased recommendation