Reviewerly/exHarmony huggingface dataset:
Security of 6G enabled Vehicle-to-Everything Communication in Emerging Federated Learning and Blockchain Technologies

Sixth-generation (6G) communication is emerging as seamless and massive connecting of almost everything. Therefore, vehicles, being extensively linked with human mobility, require a technological pace for compatibility with the 6G era. 6G will also potentially revolutionize the Vehicle-to-Everything (V2X) communication. However, this modernization will surface several security challenges in the complex heterogeneous architecture of V2X communication in 6G. Similarly, the expansion of V2X also introduces unconventional security risks and vulnerabilities. This paper aims to provide an overview of the security challenges and solutions for V2X communication in the upcoming 6G era to visualize the future of this research domain. This paper discusses the architecture and standards utilized in 6G enabled V2X communications and provisions a comprehensive analysis of V2X security in Confidentiality, Integrity, Availability, Authentication and Access Control (CIA <sup xmlns:mml="http://www.w3.org/1998/Math/MathML" xmlns:xlink="http://www.w3.org/1999/xlink">3</sup> ) domains. Thereby, we analyze the impact of the emerging technological concepts of Blockchain and Federated Learning (FL) in 6G enabled V2X communication. Thereby, we suggest a Blockchain-enabled FL based generic security architecture for V2X communication in 6G networks. At the conclusive end, the review highlights key lessons learned and the future research directions in the domain of security of V2X communications in the 6G including; Privacy in 3D Fog Computing, Privacy in Augmented Reality, C. Secure Software Defined Networking (SDN), Physical Layer Security In THz Spectrum, SUMO (Simulation of Urban MObility) and Intrusion Detection using AI.
The Weight Distributions of Two Classes of Linear Codes From Perfect Nonlinear Functions

In this paper, we employ general results on the value distributions of perfect nonlinear functions from F <sub xmlns:mml="http://www.w3.org/1998/Math/MathML" xmlns:xlink="http://www.w3.org/1999/xlink"><i>p<sup>m</sup></i></sub> to F <sub xmlns:mml="http://www.w3.org/1998/Math/MathML" xmlns:xlink="http://www.w3.org/1999/xlink"><i>p</i></sub> to give a unified approach to determining the weight distributions of two classes of linear codes over F <sub xmlns:mml="http://www.w3.org/1998/Math/MathML" xmlns:xlink="http://www.w3.org/1999/xlink"><i>p</i></sub> constructed from perfect nonlinear functions, where <italic xmlns:mml="http://www.w3.org/1998/Math/MathML" xmlns:xlink="http://www.w3.org/1999/xlink">p</i> is an odd prime and <italic xmlns:mml="http://www.w3.org/1998/Math/MathML" xmlns:xlink="http://www.w3.org/1999/xlink">m</i> is an odd number. When <italic xmlns:mml="http://www.w3.org/1998/Math/MathML" xmlns:xlink="http://www.w3.org/1999/xlink">m</i> is even, we give some mild additional conditions for similar conclusions to hold.
Observer-based Fuzzy <i>l</i> <sub>2</sub>–<i>l</i> <sub>∞</sub> Control for Discrete-time Nonlinear Systems

In the present paper, an observer-based <italic xmlns:mml="http://www.w3.org/1998/Math/MathML" xmlns:xlink="http://www.w3.org/1999/xlink">l</i> <sub xmlns:mml="http://www.w3.org/1998/Math/MathML" xmlns:xlink="http://www.w3.org/1999/xlink">2</sub> – <italic xmlns:mml="http://www.w3.org/1998/Math/MathML" xmlns:xlink="http://www.w3.org/1999/xlink">l</i> <sub xmlns:mml="http://www.w3.org/1998/Math/MathML" xmlns:xlink="http://www.w3.org/1999/xlink">∞</sub> performance analysis and controller design problem is proposed for a category of discrete-time nonlinear control systems. First of all, the closed-loop system with external disturbance in both state variable and output variable under consideration is represented as a discrete-time Takagi-Sugeno (T-S) fuzzy model, and is described by the descriptor representation method. Subsequently, a new Lyapunov function is suggested that satisfies the prescribed <italic xmlns:mml="http://www.w3.org/1998/Math/MathML" xmlns:xlink="http://www.w3.org/1999/xlink">l</i> <sub xmlns:mml="http://www.w3.org/1998/Math/MathML" xmlns:xlink="http://www.w3.org/1999/xlink">2</sub> – <italic xmlns:mml="http://www.w3.org/1998/Math/MathML" xmlns:xlink="http://www.w3.org/1999/xlink">l</i> <sub xmlns:mml="http://www.w3.org/1998/Math/MathML" xmlns:xlink="http://www.w3.org/1999/xlink">∞</sub> performance while ensuring stability. The application of the linear matrix inequality (LMI) technique is employed to establish analysis criterion for the <italic xmlns:mml="http://www.w3.org/1998/Math/MathML" xmlns:xlink="http://www.w3.org/1999/xlink">l</i> <sub xmlns:mml="http://www.w3.org/1998/Math/MathML" xmlns:xlink="http://www.w3.org/1999/xlink">2</sub> – <italic xmlns:mml="http://www.w3.org/1998/Math/MathML" xmlns:xlink="http://www.w3.org/1999/xlink">l</i> <sub xmlns:mml="http://www.w3.org/1998/Math/MathML" xmlns:xlink="http://www.w3.org/1999/xlink">∞</sub> performance. By defining the structure of matrix variables, the new design conditions of observer-based l2–l∞ controller are given. Ultimately, an instance demonstrates the effectiveness of the proposed controller design criterion.
Comprehensive Analysis of Topic Models for Short and Long Text Data

The digital age has brought significant information to the Internet through long text articles, webpages, and short text messages on social media platforms. As the information sources continue to grow, Machine Learning and Natural Language Processing techniques, including topic modeling, are employed to analyze and demystify this data. The performance of topic modeling algorithms varies significantly depending on the text data's characteristics, such as text length. This comprehensive analysis aims to compare the performance of the state-of-the-art topic models: Nonnegative Matrix Factorization (NMF), Latent Dirichlet Allocation using Variational Bayes modeling (LDA-VB), and Latent Dirichlet Allocation using Collapsed Gibbs-Sampling (LDA-CGS), over short and long text datasets. This work utilizes four datasets: Conceptual Captions and Wider Captions, image captions for short text data, and 20 Newsgroups news articles and Web of Science containing science articles for long text data. The topic models are evaluated for each dataset using internal and external evaluation metrics and are compared against a known value of topic 'K.' The internal and external evaluation metrics are the statistical metrics that assess the model's performance on classification, significance, coherence, diversity, similarity, and clustering aspects. Through comprehensive analysis and rigorous evaluation, this work illustrates the impact of text length on the choice of topic model and suggests a topic model that works for varied text length data. The experiment shows that LDA-CGS performed better than other topic models over the internal and external evaluation metrics for short and long text data.
Unsupervised Generative Learning with Handwritten Digits

Representations play an important role in learning of artificial and bi- ological systems that can be attributed to identification of characteristic patterns in the sensory data. In this work we attempted to approach the question of the origin of general concepts from the perspective of purely unsupervised learning that does not use prior knowledge of concepts to acquire the ability to recognize common patterns in a learning process resembling learning of biological systems in the natural environment. Generative models trained in an unsupervised process with minimization of generative error with a dataset of images of handwritten digits produced structured sparse latent representations that were shown to be correlated with characteristic patterns such as types of digits. Based on the iden- tified density structure, a proposed method of iterative empirical learning pro- duced confident recognition of most types of digits over a small number of learn- ing iterations with minimal learning data. The results demonstrated the possibil- ity of successful incorporation of unsupervised structure in informative represen- tations of generative models for successful empirical learning and conceptual modeling of the sensory environments.
A study of auxiliary verb ‘mu’ in a glossed reading of Lunyu (the Analects) in Middle age Japan

This paper first dealt with discussions in the previous researches about the meaning of auxiliary verb ‘むmu’, which conveys estimation. It then analyzed 146 examples of the auxiliary verb in a glossed reading of Mubatsu-bon Lunyu Jijie (volume 1-10) which was the standard glossed reading of the Analects in Middle age Japan. It further categorized and analyzed the examples based on 4 kinds of mood in the so-called “School grammar of Japan“ (Classical Japanese grammar, referred to as “Literary grammar”), i.e. dubitative, volitional, inducing or mandatory, and periphrastic mood.BR There are 67 examples categorized as dubitative mood, and 43 of them are used as a rhetorical question. In order to convey didactic contents effectively, rhetorical questions are frequently used. Generally speaking, “rhetorical question” tends to co-occur with a concealed question form, however in all 67 examples, the auxiliary verb ‘mu’ is used in a rhetorical question in 5 examples, of which 2 examples are used with an adverb.BR There are 44 examples that are classified as volitional mood. Among them, 29 examples indicate the will of the 1st person, while 1 example indicates the will of the listener, and 14 examples indicate the will of a 3rd or unspecified person. Also examples of volitional mood partly include the case that indicates a desire of the subject.BR None of the examples are classified as inducing or mandatory mood.BR There are 32 examples categorized as periphrastic mood, of which 26 examples are used for the rentai-kei(attributive) modification, but 6 examples are not. Some of the examples that are used for the attributive modification may be regarded as “assumptive mood”. In previous studies, “periphrastic mood” is not considered as a function of ‘mu’. However, this paper makes it clear that a category of “periphrastic mood” is necessary.BR Finally, 3 examples are not sorted into the 4 categories in the “School Grammar”. These examples commonly include ‘將’ in original text of the Analects, which is read in the glossed reading ‘まさにmasani…んとす tosu (allomorph of ‘mu’)’. This word is deemed to indicate the ‘prospective aspect’. However, it does not mean that all phrases including ‘將’ indicate this aspect.BR The auxiliary verb ‘mu’ has various meanings, which has been pointed out in earlier works. Hence, the teaching of classical Japanese must not only provide education about basic meaning categories, but also provide knowledge about atypical functions of auxiliary verbs to students.
Lattice-Based Cryptography in the Quantum Era: A Survey

The advent of quantum computing reveals current classical cryptography’s incapacity to withstand attacks within the new paradigm. Quantum algorithms break such encryption with impressive ease, with Shor and Grover algorithms being the main perpetrators. Lattice-based key encryption is the suggested solution in multiple instances, as the complexity and randomness that these methods add to message encryption make them one of the best short- and medium-term solutions. In 2016, NIST launched a contest to find algorithms to incorporate into its security standard. Four algorithms from the third round were selected to be standardized, including the lattice-based CRYSTALSkyber. Of the latter, variants have been and are still being developed that manage to amend some weaknesses found in its implementation, such as side-channel attacks or performance issues. This investigation discusses different publications on lattice-based cryptography in conjunction with cryptanalysis in the quantum era.
The First Step of the Project for the Interaction of an Open Data Platform with an Intersectional Feminist Lens

The Feminist HCI is characterized as the integration of feminist theory into HCI practice, which can occur at all stages of the design process, including user research, prototyping and evaluation. However, there is still a research gap on the integration of feminism with established HCI methods. An HCI methodology that is also concerned with human values and the possible consequences of technological artifacts is Value Sensitive Design (DSV). The present work seeks to answer how to include Feminism HCI in the HCI Project with the VSD. This research took place in the context of ELLAS Project, an Open Data platform that aims to contribute to the reduction of the gender difference in STEM in Brazil, Peru and Bolivia.
Instagram in English Language Learning: A Systematic Literature Review

In the ever-growing digital era, social media, especially Instagram, plays a significant role in English language learning. The platform is a multifaceted communication tool and offers visual and interactive features to enhance the student learning experience. This research analyzes the use of Instagram in the context of English language learning through a Systematic Literature Review (SLR) approach. The article selection process involved two stages: selection based on the title and abstract and selection based on the full text. An article search using the keywords "Instagram" and "English language learning" in Science Direct and Google Scholar produced 142 article titles, which were then filtered into 24 articles for further analysis. The conclusion of this research shows that Instagram has great potential in improving English language skills, especially in vocabulary and communication skills. Students' positive response, especially towards the development of writing skills, shows the potential of this platform in language learning contexts. In conventional and distance learning, Instagram is effective in various aspects of learning, including vocabulary, writing skills, grammar, and collaboration. Positive impacts are seen on student skills, creating creative and multimodal learning experiences. The flexibility of Instagram in teaching English for Specific Purposes (ESP), especially collocations and colligations, shows its potential. Future research recommendations include an evaluation of Instagram's effectiveness in teaching specific content and a deeper understanding of the platform's evolving landscape in education.
An Exploration of Blockchain Protocols for Trusted Vote Aggregation: A Consensus Algorithm Approach

The application of blockchain technology in electronic voting (e-voting) systems represents a promising solution to the perennial challenges of trust, transparency, and security in electoral processes. This study aims to identify a suitable blockchain protocol that supports trustworthy vote aggregation and has a suitable consensus algorithm to validate vote counting. Our research methodology includes an extensive literature review and a comparative analysis of different blockchain protocols. Considering this, we examine various consensus algorithms such as Proof of Work, Proof of Stake, and Practical Byzantine Fault Tolerance among others, each of which presents unique strengths and challenges. In addition, this study enriches the existing body of knowledge by proposing a novel algorithm that works at the edge of the network to validate and aggregate votes on the blockchain. This newly proposed algorithm is designed to provide maximum security, reliability, and accuracy while minimizing computational resources and network overhead. Our comprehensive research and innovative proposal serve to strengthen the potential of blockchain protocols and their consensus algorithms in the field of electronic voting systems. The results of this research could significantly influence the development and implementation of secure, transparent, and reliable e-voting systems based on blockchain technology, paving the way for more democratic and accountable voting mechanisms.
Pattern Matching in Python: Expanding the Horizons of Engineering Applications

Pattern matching is a powerful programming construct that simplifies code, enhances readability, and enables efficient handling of complex data structures. This paper introduces the pattern matching feature newly introduced in Python 3.10 and explores its applications in various engineering domains. The aim of this research is to showcase how Python's pattern matching capability can be leveraged for parsing and analyzing data, structural matching in data analysis, model and system validation, and signal processing. Through illustrative examples and case studies, we demonstrate the versatility and effectiveness of Python pattern matching in solving real-world engineering problems. By introducing pattern matching in Python, this research opens new avenues for engineers and scientists to tackle complex data processing tasks, enhance system validation techniques, and streamline algorithmic implementations. With the integration of pattern matching into Python's ecosystem, the language becomes even more powerful and expressive, empowering practitioners to write cleaner, more concise, and efficient code. This research lays the foundation for the adoption and exploration of pattern matching techniques in Python, highlighting its potential impact on engineering applications and providing a roadmap for future research and development in this field.
Supporting Home-Language Education in Africa with Multi-Lingual Mathematics Tutoring using GPT-4

Various studies show that when learners are able to get instruction in their mother tongue, they are able to understand technical information easier. Learners that are able to perform better at school are also able to eventually enter the workforce as educated professionals. In a country like South Africa, most learners cannot afford mathematics tutoring. Having access to tutoring on a platform like WhatsApp provides disadvantaged learners with the same opportunities as their more privileged counterparts. This paper investigates the development of a mathematics tutoring bot, Prof Pi, that is able to provide tutoring in a number of languages used in Africa besides English including Afrikaans, Zulu, Kiswahili, and Arabic.
INVESTIGATING THE IMPLEMENTATION OF COLLABORATIVE STRATEGY READING TO STUDENTS’ READING NARRATIVE TEXT

The aims of the research are to find out the implementation of Collaborative Strategy Reading (CSR) in students’ reading narrative text and to describe the students’ experience after learning about reading using collaborative strategy reading (CSR) in students’ reading narrative text. This research used a qualitative approach with a case study design. The participants of the research were the teacher and the tenth-grade students of SMK Al-Bantari Cianjur with 25 students involved in this research consisting of 14 males and 11 females. The qualitative data was obtained through observation, field notes, interviews, and students’ diaries. Based on the result of the data analysis, it can be concluded that Collaborative Strategy Reading (CSR) is able to improve students' reading comprehension of narrative text in the tenth grade of SMK Al-Bantari through four comprehension strategies which include preview, click, and clunk, get-gist, and wrap up by working cooperatively. Collaborative strategy reading also has positive outcomes concerning social relationships and interactions in the classroom. The students gave a positive attitude and actively participated during the implementation of collaborative strategy reading on narrative text. Moreover, collaborative strategy reading increased the students' self-confidence in group discussions, so they bravely expressed their ideas and learned to appreciate the ideas of others. Keywords: Teaching Reading; Narrative text; Collaborative Strategy Reading
Pelaksanaan Sistem Informasi Manajemen Kepegawaian Berbasis IT di Kantor Kementrian Agama Kabupaten Aceh Timur

The objective of the study was to determine the personnel management system, in particular the Personnel Management Information System (SIMPEG) and the Regional Civil Service Agency (BKD) of Nanggroe Aceh Darussalam. The Government Personnel System is for the smooth running of organizational tasks and becomes a supporting element for the implementation of the functions of the management of an organization, the existence and smoothness of administrative activities. Utilization of information technology can produce efficiency in various aspects of information management as indicated by the speed and timeliness of processing, as well as the accuracy and correctness of the information (validity) produced. The benefit of recording Personnel data is as a means to store personnel data systematically, making it easier to retrieve if needed. Personnel data is processed into staffing information, which is very necessary for employee development materials. Personnel management, both managerial and technical-administrative in nature, is always related to data, in the form of printed or electronic data.
IMPROVEMENT OF PEDAGOGICAL EDUCATION IN PHYSICS: METHODOLOGICAL SYSTEM OF ADVANCED TEACHING OF CLASSICAL MECHANICS

The researched problem becomes relevant in terms of a profound exploration of the systemic properties of classical mechanics, the application of the hypothetico-deductive methodology in this theory, and the necessity of insufficient inclusion of these aspects in curricula and programs. The aim of the article is to justify and develop a methodical system for teaching classical mechanics in the general physics course of a pedagogical university. The primary method for studying this problem is the dialectical method, particularly the principle of the unity of system and method, as well as a systemic-structural approach, the interconnection of theory and practice, and an activity-based approach to teaching. The article presents a methodical system for teaching classical mechanics in the general physics course of a pedagogical university, scientifically grounded and determining the future physics teacher based on subject-specific professional training and teaching based on phenomena. The requirements for the learning outcomes of classical mechanics in the general physics course are defined and justified in accordance with the goals of forming systemic knowledge in unity with scientific knowledge and teaching methods based on phenomena. The methodical system aims to adapt educators to new conditions in professional education and is focused on the development of scientific and methodological support for monitoring the quality of education.
TECHNOLOGIES FOR ORGANIZING COMMUNICATION AND CREATIVE ACTIVITIES OF STUDENTS AT THE FOREIGN LANGUAGE LESSONS

This article is devoted to the problem of communication and creative activity at the foreign language lessons in the theory and practice of secondary school education. The authors consider some aspects of the development of communicative-creative thinking in the process of foreign language learning and communicative-creative technologies in teaching foreign languages ​ ​ as a goal-setting aspect of their research. Examining the methodology and scientific approaches, we clarify the psychological and pedagogical conditions for organizing communicative and creative activities while learning the English language. This involves the use of active teaching methods and a learner-centered approach during foreign language lessons. The key findings include a detailed description of the authors' use of collage and interactive “speaking” postcard technologies perceived as forms of art technologies aimed at fostering students' communicative and creative skills and enhancing their proficiency in foreign language communication. The conclusions drawn from the research are substantiated by its originality, and the value of the obtained data is predominantly of an applied nature. The practical significance lies in the potential wide adoption of the methodology developed by the authors in real-life foreign language teaching scenarios. Future research endeavors will focus on publishing the obtained results in professional journals and presenting the developed methods to the academic community through participation in scientific-practical conferences and similar events.