Reviewerly/exHarmony huggingface dataset:
VEZZIES: Redefining the E-Commerce Experience through an Android Application

Abstract: This research paper delineates the comprehensive development, implementation, and assessment of Vezzies android application, an innovative mobile application crafted to revolutionize [specific functionality or solve a particular problem within its targeted domain]. The study adopts a meticulous and iterative approach, leveraging [methodology or framework utilized, e.g., agile methodology, user-centred design principles, etc.], to orchestrate the creation of an intuitive, seamless, and user-centric interface for Vezzies application. Through a series of rigorous testing phases and user-driven design iterations, the application aims to efficaciously address [the pressing issue or need it seeks to resolve]. Key findings encapsulate the efficacy and impact of Vezzies application in the context of its intended purpose. User feedback, coupled with extensive usability testing, illuminates not only the commendable attributes of the application but also underscores certain challenges encountered, improvements enacted, and potential future enhancements essential for augmenting user experience and functional capabilities. This paper offers critical insights into the ramifications of Vezzies application within the realm of [relevant field or industry]. It underscores the application's potential to influence [user behaviour, industry standards, technological advancements, etc.], thereby advocating for its significance in the context of contemporary mobile application landscapes. Furthermore, it emphasizes the perpetual necessity of adaptive development methodologies and user-centric design paradigms to sustain relevance and ensure ongoing success in the dynamic milieu of mobile applications.
Philosophical bases of divergent thinking

Importance. At the current stage of socio-economic development of the country, society’s need for specialists with divergent thinking, which allows thinking innovatively, solving non-standard tasks in conditions of uncertainty and rapid change of situation in different ways is actualized. However, there is a problem associated with the lack of a common theoretical basis and methodological approaches to the study the divergent thinking. It is assumed that it is possible to understand the nature of divergent thinking through philosophical comprehension of its generic concept “thinking”. The aim of the research is to scientifically substantiate the category of "divergent thinking" from the philosophical point of view. Materials and Methods. Achievement of the set goals was carried out on the basis of retrospective analysis of philosophical, literature and scientific publications on the topic of research. Results and Discussion. The main essential characteristics of thinking and thought operations underlying it in general and divergent thinking in particular were determined. The conceptual character of thinking based on judgments, inferences and concepts is defined. It was found out that the regularities of thought processes are conditioned by such thought operations as synthesis, analysis, generalization, classification, abstraction and others. At the same time, the heuristic nature of cognitive process is provided by means of intuitive insight. It is concluded that the foundation of the phenomenon under study is the dialectical nature of thinking aimed at research and resolution of contradictions. Conclusion. The field of application of the obtained results is the definition of the essence of divergent thinking of university students, research of the problem of its formation and further development.
Pengaruh Penggunaan Metode Diskusi Dan Motivasi Belajar Terhadap Hasil Belajar Siswa Kelas V SDN Sukamampir

The research method used is quasy experiment and 2x2 factorial design. The research sample was 82 students at SDN Sumampir. The instruments used are questionnaires and tests. The data analysis used is a two-way Anova test. The conclusions from this study are (1) there is an influence between student learning outcomes with the learning of the video-assisted discussion method and the poster-assisted discussion method; (2) there is an influence between students' learning motivation with the video-assisted discussion method and poster-assisted discussion method; 3) For students who have high motivation, their learning outcomes will be higher if taught using the video-assisted discussion method compared to the poster-assisted discussion method; (4) For students who have low motivation, their learning outcomes will not be higher if they are taught using the poster-assisted discussion method compared to the video-assisted discussion method; (5) There is an interaction effect between media and learning motivation on student learning outcomes.
Pengaruh Model Tutor Sebaya Dan Motivasi Belajar Terhadap Pemahaman Konsep Keliling Lingkaran Siswa Kelas VI SD

The aim of this study is to analyze the influence of student peer-to-peer tutoring model and the level of learning motivation concerning the comprehension of the concept of circle circumference among the sixth-grade students. This study employs a quasi-experimental research design, specifically incorporating pre-test and pos-test assessments. The study's population consists of 107 students, with a sample size of 72 students selected through the utilization of a cluster random sampling technique. The study's instrument uses a form of questionnare and tests. The data analysis for this study involved the utilization of two-way-ANOVA using SPSS 23.0 software for Windows. The conclusions are; (1) A notable influence exists when employing the peer-to-peer tutoring model in enhancing students' comprehension of circle circumferences among sixth-grade students. (2) A distinct impact emerges from students' learning motivation on their grasp of circle circumference comprehension in the sixth-grade. (3) Significant influences are discerned from both the implementation of the peer-to-peer tutoring model and the level of learning motivation, collectively affecting the comprehension of circle circumference among sixth-grade students.
Edukasi Screen Time pada Anak di Masyarakat Kota Tasikmalaya

Changes in the behavior patterns of people who are accustomed to online activities can have positive and negative impacts on the body, especially children eyes. However, not many people know this. Therefore, community service activities are carried out which aim to provide education about screen time in book form. The book was made using the Canva application which contains material regarding the meaning of screen time, the working principles of screens and blue light, the positive and negative effects of blue light, rules for using devices, and recommendations for treatment for parents. Then counseling was carried out in the form of distribution of books and education to Orphanages, PAUD, Kindergartens and Elementary Schools in Tawang District, Tasikmalaya City. This activity can have a good impact on the community regarding the importance of limiting screen time to maintain eye and body health.
Pengembangan Media Perkembangbiakan Hewan Pada Mata Pelajaran IPA Kelas 6 SD Untuk Meningkatkan Motivasi Dan Penguasaan Konsep

This research is a development research that aims to find out the development media that can increase students' motivation and mastery of concepts. The research method used is the development method with the ADDIE design. The instruments used in this study were observation, questionnaires and tests. The results of data analysis for motivation increased from 51.58% before use to 84.36%. The average result of students' mastery of the concept pretest 69.50 and after use 81.5. The conclusion from the research is that media development can increase students' motivation and mastery of concepts.
Analysis and Discussion of Influential Factors in the Construction of Digital Learning Spaces in the Context of Higher Education Digitization

With the trend of digitization in higher education, digital learning spaces have gained widespread attention as important learning environments. This article first outlines the development trends of digitization in higher education, including digitization of teaching tools, digitization of teaching content, and digital learning spaces. It then analyzes the influential factors in the construction of digital learning spaces, including requirements for digital technology, pedagogical innovation, repositioning of teacher and student roles, breaking the limitations of physical time and space, and the transformation of managerial functions. Finally, it provides an outlook on the development prospects of digital learning spaces.
Understand Noise on Universal Quantum Adder Circuit

Quantum Fourier Transform (QFT) is an essential algorithm for quantum computers. There are many uses of QFT in the application of quantum computing. In this work, we proposed a generalized adder circuit that was fundamental for QFT. We designed and ran the experiments with the proposed adder circuit on an IBM quantum computer facility. We observed that the number of qubits was one factor in the error rate. We found that our proposed two-qubits adder circuit running on the IBM quantum computer had an error rate of around 25%. The complexity of the adder circuit includes qubit connectivity, physical devices, and error from noise due to the environment. We demonstrated the constraints of the proposed adder circuit.
Adaptability Study of Higher Vocational Education Enabling the Transformation and Upgrading of Manufacturing Industry --Equipment Manufacturing Industry in Guangdong Province as an Example

Guangdong is the first economic province in China, and by the end of 2022, the GDP of Guangdong Province has ranked first in the country for 34 consecutive years. Since the "14th Five-Year Plan", Guangdong Province has vigorously developed the manufacturing industry, insisted on the manufacturing industry as the leader, focused on the development of advanced manufacturing industry and high-tech manufacturing industry, promoted the development of the industrial structure to a higher level, and initially formed a "one nucleus, one belt, one area" manufacturing industry synergistic development pattern, in the In terms of scale strength, innovation level and foreign trade cooperation, Guangdong manufacturing is in the national leading level. In the new stage of development, Guangdong manufacturing is in urgent need of transformation and upgrading to reshape its competitive advantages. Vocational education shoulders the important mission of serving regional economic development, and the development of vocational education can provide strong talent support for the transformation and upgrading of the manufacturing industry. Through the integration of industry and education, it is conducive to promoting the technological research and development and product innovation of enterprises, and enhancing the competitiveness of enterprises in the international market, so as to empower the transformation and upgrading of the manufacturing industry in Guangdong Province.
Research on the Teaching Practice of the Course “Foundation of Artificial Intelligence” in Universities Empowered by Digital Transformation

Digital transformation can empower teachers to teach and students to learn, playing an important role in the reform of curriculum and teaching in universities. This article analyzed the background of the teaching reform of computer public course in Chinese universities. In the situation where digital talents are urgently needed in society, "Foundation of Artificial Intelligence" was proposed as a computer public course in universities. We have designed the course content, pre class teaching, in class teaching, post class teaching, and student learning evaluation of "Foundation of Artificial Intelligence", and deeply integrated information technology with education and teaching, carried out digital transformation teaching practice. From the results of student academic exam and student satisfaction survey, it can be concluded that the digital transformation has enabled the teaching practice of the "Foundation of Artificial Intelligence" course in universities to be very successful.
THREAT PREVENTION &amp; VULNERABILITY ANALYSIS OF SMART CONTRACTS IN BLOCKCHAIN NETWORKS

Blockchain technology now relies heavily on smart contracts, which offer self-executing code for the exchange of goods and data. Smart contracts enable financial activities like payments and auctions on blockchain systems. Even if bugs are found, they cannot be changed. They are frequently used to automate the implementation of agreements so that all parties may be confident in the conclusion without the need for an intermediary. But because of their openness and how they interact with one another in the blockchain ecosystem, these contracts are vulnerable to security risks. Smart contract security research has advanced significantly in recent years. The research community of smart contract security has made a significant improvement recently. Researchers have identified several security flaws in smart contracts and have created frameworks for verification and static analysis to find them. This study attempts to identify the most critical software security issues that affect smart contracts. These are then handled utilizing a variety of methods and equipment common to the sector
A Design and Framework for Measuring Social Media Cyberbullying: Based on Text Sentiment Analysis

Cyberbullying is a focal issue of public concern. This study focuses on cyberbullying and innovatively introduces text sentiment analysis techniques into the research of specific social behaviors. Through this technique, a research framework for a cyberbullying scale in social media will be designed to explore the dissemination mechanisms and characteristics of cyberbullying in Chinese social media, and to develop a cyberbullying scale that is in line with the cultural background and characteristics of Chinesespeaking countries.
Research on the Problems and Countermeasures of Vocational Education School Enterprise Cooperation from the Perspective of Network Governance

Currently, vocational education in China is in an important turning point of improving quality and excellence, and building a modern vocational education system is an urgent task facing vocational education. At present, there are still problems in vocational education in terms of school enterprise cooperation, such as insufficient embedding and sustainability of cooperation, insufficient motivation for cooperation entities to participate, lack of government governance mechanisms, and lack of industry supervision and quality evaluation. The cooperative entities between schools and enterprises usually have the characteristics of diversity and heterogeneity, and also involve relevant cooperative entities in interest distribution, gaming, coordination, and balance. This provides the following reference for the network governance of vocational education school enterprise cooperation: firstly, play the leading and governance functions of the government, optimize the network governance structure, and establish a long-term operating mechanism; The second is to strengthen goal orientation, pay attention to the development needs of all parties, and stimulate the motivation of subject participation; The third is to improve the quality supervision and performance evaluation system, establish and improve a diversified organizational structure, and ensure the quality of school enterprise cooperation.
DYNAMICAL VARIATIONAL AUTOENCODERS AND KALMANNET: NEW APPROACHES TO ROBUST HIGH-PRECISION NAVIGATION

Abstract. Kalman filters, recognized as a traditional and effective inference algorithm based on state space models (SSM), have been extensively applied in the fields of navigation and mapping. However, their performance will degrade when facing model assumption mismatches, such as non-linear dynamics and non-Gaussian correlated noises. The model-based deep learning methods overcome these mismatches by combining the domain knowledge of the model-based methods and the expressiveness of the data-driven deep learning methods, and thus can provide a promising solution for addressing high-dimensional and nonlinear challenges. This paper presents a succinct overview of the principles, inference model, and training methodology employed in model-based deep learning methods, with particular focus on the KalmanNet and the Dynamical Variational Autoencoder (DVAE). Furthermore, it implements KalmanNet on robust and high-precision navigation and positioning problem. The experimental results substantiate the feasibility of achieving navigation and positioning accuracy comparable to that of the Extended Kalman Filter (EKF), while simultaneously exhibiting enhanced robustness, albeit at the cost of some computational overhead.
Experimental Methods of Studying the Neurophysiological Features of Esports Players (Review)

Electronic sports (esports) is a form of competition using video games. Competitions in esports help to develop cognitive skills, abstract thinking, memory, spatial thinking and the ability to navigate the virtual space under time pressure. In this regard, neurophysiological mechanisms implementing and regulating physiological processes when playing esports are a promising topic of research. According to L.P. Matveyev’s classification (2017), esports belongs to the fifth group of sports activities, which is characterized by applying abstract logic under decreased motor activity. Computer games stimulate the development of cognitive functions, such as reaction time, speed of decision making, attention, hand coordination and others, which suggests that the psycho-emotional and psycho-physiological parameters in esports players are similar to those in other athletes. However, it should be noted that the neurophysiological mechanisms of these processes in esports players have been little studied. Since these mechanisms are based on the activity of the central nervous system, it is interesting to consider the bioelectric activity of the cerebral hemispheres in esports players in relation to their cognitive style. In the PubMed, Scopus and Google Scholar electronic libraries as well as a number of Russian scientific databases, the authors entered the following search queries: video games, video game addiction, esports, cognitive functions, neurophysiology of esports players, neurophysiological research methods in esports, non-invasive research methods. Based on the literature analysis, methods were identified that allow us to assess the functional state of the brain when processing sensory signals and physiological changes in higher nervous activity as well as to determine peak amplitude of muscle force through signal integration. Further, methods demonstrating controversial results are listed, which do not make it possible to establish the mechanisms of the nervous system. In addition, promising methods are identified that allow us to read brain activity using infrared light.
The Potential of Waste-Based Renewable Energy with A Gas Landfill System in Palopo

The government encourages the development of waste management by utilizing waste as a new renewable energy source through waste to energy technology as an effort to overcome the increasing volume of waste and the dependence of electricity production from new coal mineral resources. This study aims to explain how much waste-based renewable energy potential in Palopo can produce through landfill gas. The research method uses the LandGem-v302 tool to calculate landfill gas production, calculate the economic feasibility value using the investment criteria net present value, internal rate of return, benefit cost ratio and payback period. The results of the LandGem-v302 test with projected data for 2024-2030 show that the volume of waste at the Mancani landfill has the potential to produce landfill gas and methane gas to produce renewable energy for approximately 80 years of production from 2025-2110. The economic value feasibility test also shows that the economic value of waste based EBT can be categorized as feasible. Thus, the projection of waste in Palopo City in 2024-2030 has the potential to produce renewable energy and is worth investing in for long-term development in Palopo.
ONTOLOGY, DECISION-MAKING, AND VALUES, OR SEVERAL «PHILOSOPHICAL» REMINISCENCES

The paper continues a series of the author’s publications on relationships between philosophy and Welt-anschauung. Its subject is the mechanisms of interaction between ontological attitudes and values in deci-sion-making. It is assumed that philosophy has always, one way or another, strived for their comprehen-sion, and it was the increasing cultural significance of these efforts that contributed to the separation of ontology from the general metaphysical field. The article begins with an analysis of the concept of exist-ence and an explication of the evolutionary premises of situations where the need for decision-making arises. The author refers to the concept of a self-organizing system, the role of informationblocks and the place of selection and choice in its reproduction. Selection is based on predetermined criteria, while choice, with its greater or lesser certainty of the options, on the contrary, implies variability of the agent’s aspirations. In the mainpart of the article, the author introduces the idea of a decision scheme as a model that combines the dynamic and spatial aspects of this phenomenon; relations between being, possibility, and goals are explored. Special attention is given to the importance of spiritual values for the formation of goals and to the cognitive similarity between ontology and the picture of the world as a component of the worldview. Since values exist, the restructuring of metaphysics demanded clarification of the functions of values in decisions. The last section, based on the controversy of Locke and Leibniz over justice, shows that the law of sufficient reason was an epistemic prerequisite for the formation of axiology as a special area of philosophizing. All the material considered makes it possible to present the relationship between the picture of the world and values as the basis of the goal-setting.
The Efficiency of Embedding-Based Attacks on the GGH Lattice-Based Cryptosystem

The Goldreich-Goldwasser-Halevi (GGH) cryptosystem is declared broken due to the modified versions of the embedding attacks, known as Nguyen's σ, Nguyen's 2σ and Lee-Hahn's attacks. Despite using the same approach as the original embedding attack, these attacks deployed different strategies and resulted in different performances for breaking the GGH cryptosystem. In this paper, we described those strategies in detail. Moreover, we investigated the mathematical factors behind these attacks' ability and performance discrepancies. Mathematical proof examines and discusses the factors that triggered those variances. As a result, the expected lattice gap and implemented lattice dimensions are mathematically proven as the factors that significantly influenced these attacks' performance. By demonstrating how the attacks manipulated these factors, any lattice-based cryptosystem that relies on the hardness of the CVP could avoid repeating the same slipup as the GGH. Hence, precautionary action could be proactively taken to prevent it from being threatened by embedding-based attacks.