Reviewerly/exHarmony huggingface dataset:
A secure cross-domain interaction scheme for blockchain-based intelligent transportation systems

In the intelligent transportation system (ITS), secure and efficient data communication among vehicles, road testing equipment, computing nodes, and transportation agencies is important for building a smart city-integrated transportation system. However, the traditional centralized processing approach may face threats in terms of data leakage and trust. The use of distributed, tamper-proof blockchain technology can improve the decentralized storage and security of data in the ITS network. However, the cross-trust domain devices, terminals, and transportation agencies in the heterogeneous blockchain network of the ITS still face great challenges in trusted data communication and interoperability. In this article, we propose a heterogeneous cross-chain interaction mechanism based on relay nodes and identity encryption to solve the problem of data cross-domain interaction between devices and agencies in the ITS. First, we propose the ITS cross-chain communication framework and improve the cross-chain interaction model. The relay nodes are interconnected through libP2P to form a relay node chain, which is used for cross-chain information verification and transmission. Secondly, we propose a relay node secure access scheme based on identity-based encryption to provide reliable identity authentication for relay nodes. Finally, we build a standard cross-chain communication protocol and cross-chain transaction lifecycle for this mechanism. We use Hyperledger Fabric and FISCO BCOS blockchain to design and implement this solution, and verify the feasibility of this cross-chain interaction mechanism. The experimental results show that the mechanism can achieve a stable data cross-chain read throughput of 2,000 transactions per second, which can meet the requirements of secure and efficient cross-chain communication and interaction among heterogeneous blockchains in the ITS, and has high application value.
Computer vision and modern machine learning techniques for autonomous driving

Human vision is one of the most important senses for receiving visual perception. When humans as the most intelligent living creatures look at a scene, they always perform a feature extraction from the information of that scene in order to understand its content. Using the extracted features, humans pay attention to part of the scene that contains more valuable information and then turn their gaze to other parts of it, until they have analyzed all the relevant information. This is a natural and instinctive behavior of humans to gather information from the scenery and the surrounding environment and it happens very quickly. Understanding the content of images in computer vision is not as fast as the human understanding of the observer&apos;s scenery, but over many years, there has been an effort to increase the accuracy and speed of computer vision by imitating the behavior of human vision. In recent years, due to significant advances in artificial intelligence and the emergence of deep learning, we are witnessing an increasing growth in computer vision and its related areas, including autonomous driving. Recent works have demonstrated the incredible successes of computer vision and deep learning algorithms in various domains including autonomous driving and robotics. In this chapter, we provide a detailed review of the state-of-the-art computer vision techniques for self-driving cars and some recent research advances in this field. After perceiving the challenges of autonomous driving, we concentrate on five perspectives of autonomous driving from visual perception and computer vision viewpoints. These include: (a) object detection, (b) object tracking, (c) segmentation, (d) deep reinforcement learning, and (e) 3D scene analysis. Each of these viewpoints are then analyzed and evaluated via computer vision techniques using some datasets about object detection, object tracking, segmentation, lane detection, and localization as well as mapping in computer vision. Moreover, we introduce sensors as well as CARLA simulator. Finally, we provide a comprehensive analysis of the localization, mapping, and simultaneously both of them related to computer vision for autonomous driving systems (ADS).
Bibliography

Offering a novel and pragmatic perspective, this timely book critically examines the development of a culture of machinist regulation and questions whether this approach is appropriate in an era of rising biological technologies. Adopting an ontological approach, James Griffin considers how current regulatory frameworks favour digital technology and how this may change in the future.
The wider view: new technologies

This chapter breaks down the use of current technologies beyond the digital. The previous chapter argued that there has been a false turn in legal regulation, in that it assumes that all technologies hold the characteristics of digital technologies. This chapter outlines how technological substrates can work, and how their individual characteristics relate to legal regulation. The chapter then proceeds to outline how abstractions of that technology are likely to be impacted, followed by a consideration of overall uses of those technologies. The chapter analyses how these various layers fit together, and the possible consequences. Certain themes arise during the chapter. For example, the machinic nature of legal regulation favours machinic-style works, and this becomes particularly obvious when considering the development of prosthesis and also artificial intelligence (AI). With regard to prosthesis, there is an aesthetic favouring of technologies that do not fall within the ‘uncanny valley’. With AI, there is a general copyright trend to disfavour human-like error - similar to the ‘uncanny valley’ - but an overall potential favouring of certain uses of quantum and biological compute that might overcome that limitation. It is argued that these issues should be kept in mind when it comes to legal reform, the subject of the next chapter.
Review of Research: Critical Interface Analysis as a Heuristic for Justice-Focused, Community-Engaged Design Research

Purpose: In this review of research, I examine Brock's (2018) critical technocultural discourse analysis approach and Sano-Franchini's (2018) critical interface analysis approach as two methods for critical interface analysis that are useful not only for critique but also for community-engaged design work. Specifically, critical interface analysis can offer a more expansive approach to heuristic evaluation that offers design researchers strategies for a) engaging community members in critical conversations and b) including communities and stakeholders in the design research process in the spirit of justice-focused co-design. Method: I place critical interface analysis in conversation with heuristic evaluation, highlighting similarities, differences, and possibilities for rethinking and expanding each through the connection. Results: I describe how critical interface analysis heuristics from Brock (2018) and Sano-Franchini (2018) can be applied to support layered community engagement throughout design research processes: specifically, in (1) language setting, (2) research plans, (3) participatory analysis, and (4) research evaluation. Conclusion: The approaches to critical interface analysis discussed here afford people in traditionally privileged design research roles (in academic, industry, and public sector institutions) a way to honor the experiences and expertise of community members by not only reflecting on the ways they contribute to and are impacted by designs, but also collaborating with them on critical interface analysis.
Graphene Nanoplatelets/Barium Titanate Polymer Nanocomposite Fibril: A Remanufactured Multifunctional Material with Unprecedented Electrical, Thermomechanical, and Electromagnetic Properties (Adv. Sustainable Syst. 11/2023)

Trash into Treasure A novel, zero-waste and recycling plastic waste solution is introduced, to scalably produce graphene nanoplatelets/barium titanate (GNP/BaTiO3) polymer nanocomposite fibrils, as demonstrated by Hamed Yazdani Nezhad and co-workers in article 2300177. The protection of the remanufactured nanocomposites against electromagnetic interference is significantly improved with the increasing GNPs/BaTiO3 content and the morphological transition from spherical to fibril-shaped PET.
Design Principles for Integrating Mobile Applications to Enhance Teaching Presence: Based on the Survey of the Problems in English Learning in Chinese Universities

With the widespread use of information technology in higher education, blended learning combining face-to-face instruction and online learning has now become the mainstream of language learning in Chinese universities. This paper reports the provisional findings of an ongoing research that aims to produce design principles for integrating mobile apps in blended learning courses that enhance teaching presence for the teaching of English as a Foreign Language in a Chinese University. The survey conducted in this paper sought the responses of 3101 student participants from a Chinese higher education institution and 32 Chinese EFL teachers from different universities on their best and worst experiences of blended learning course and their feedback on how blended learning courses that utilize mobile apps should be improved to enhance teaching presence. The findings of the study indicate the importance of comprehensive instructor guidance and the pedagogical skills of instructors to suit learners’ proficiency levels. The use of suitable mobile apps in a blended learning environment enhances the teaching presence and creates an engaging learning atmosphere. The future research stage will test the design framework found in this intervention involving other groups of participants.
Persepsi Siswa Kelas XI terhadap Pemanfaatan liveworksheets.com pada Mata Pelajaran English Proficiency di SMA DEK Padang

Today, the use of digital learning platforms has become an alternative learning method for students at schools, especially at DEK Padang High School. One of the learning platforms used in the English Proficiency subject at DEK Padang High School is the website at liveworksheet.com. This qualitative descriptive study aims to look at the perceptions of SMA DEK Padang students on the use of liveworksheet.com in English Proficiency subject. Data was collected through closed questionnaires and interviews were conducted as a form of verification to 30 students of class XI who had taken English Proficiency for 4 semesters. The findings of this study are 83% of DEK SMA students think that English Proficiency is interesting and fun and 81.67% of students think that using liveworksheet.com helps them master the subject matter.
Hearing the Living Metaphors: A Response to Serpil Oppermann’s “Storied Seas”

ABSTRACT: In this paper, we evaluate Serpil Oppermann’s “Storied Seas and Living Metaphors in the Blue Humanities” as a turning point in the theoretical development of ecocriticism. Oppermann’s application of her own theory, material ecocriticism, in the reading of the water bodies that entwine the biological and the textual, situates material-ecocritical undertakings as a landmark of the ecocritical map. The well-known metaphor of the wave, used in explicating the growth of ecocriticism, was replaced by the metaphor of the rhizome in an earlier essay by Oppermann herself. By affirming both metaphors as valid, we argue that Oppermann’s 2019 Configurations essay initiated the fourth wave of ecocriticism and showcased what it means to follow a rhizomatic pattern. In our response, we take Oppermann’s open call to hear the voices of marine creatures as an invitation to explore the limits of the environmental humanities and seek to push our ocularcentric academic borders. Developing a new framework to study the soundscape of the ocean, we intend to literally hear the voices of marine entities (provided to the reader/audience through QR codes) and investigate what kind of new narratives might emerge out of this experience.
Efektivitas Kegiatan Gerakan Literasi Sekolah dalam Meningkatkan Minat Literasi Siswa di SMPN 20 Medan

This research departs from the School Literacy Movement (GLS) programme launched by the Ministry of Education and Culture, as an effort to increase the literacy awareness of the nation's children. This research examines how the effectiveness of GLS activities in increasing students' interest in reading. This research uses a qualitative approach method with a descriptive type of research with the aim of explaining the effectiveness of the School Literacy Movement activities in increasing students' interest in literacy, the location is SMPN 20 Medan and data collection methods using an observation and interviews. The questions of research in this study are, what are the factors that influence the effectiveness of GLS activities at SMPN 20 Medan, how is the effectiveness of GLS activities in increasing students' interest in literacy at SMPN 20 Medan? This study concludes that there are internal and external factors that influence the effectiveness of GLS activities. In relation to the effectiveness of GLS in increasing students' interest in reading, this study concludes that GLS is quite effective in increasing students' interest in reading at SMPN 20 Medan. Finally, this study recommends SMPN 20 Medan to improve the quality of GLS activities by modernizing and digitalizing based information technology-activities.
Blockchain-based Supply Chain Management (SCM)

A blockchain is a decentralised, unchangeable ledger that makes it easier to track assets and record transactions in a corporate network. In a blockchain network, anything valuable may be recorded and traded, lowering the risk and increasing efficiency for all parties. It has the potential to drive cost-saving efficiencies and enhance the consumer experience through traceability, transparency, and tradeability. Blockchain-based Supply Chain Management (SCM) can provide services to participants to inquire about product details, cost, quantity, quality, availability of products, location and other significant information. It provides transparency and agreement-outsourced contract manufacturing and enhances an organization's position as the main leader in responsible manufacturing. In this study, blockchain and its effects on SCM are discussed, along with security issues and solutions.
A Multifunctional Communication System for Differently Abled People

A person should be able to connect with other people to have a fulfilling life. Having challenges such as being blind, deaf, or mute is a significant concern in this matter. According to world statistics and research, it has shown that 0.2% of the world’s population lives with severe deaf blindness. This project aims to design and develop a communication system to improve interactions between a person without any disability and a deaf-blind person or between two deaf-blind people. Each may communicate differently, so this system will have a textual display for those who can see, a speech output for those who can hear, and a tactile braille display for those who cannot see or hear. This system can benefit educational institutes and care homes facilitating people with the above disabilities. The primary purpose of this system is to make the differently abled people feel independent and confident by seeing, hearing, and talking to each other without facing the barriers in the translation. KEYWORDS: Visually Impaired, Deaf and Mute, Voice to Text, American Sign Language, Braille Keyboard, Hand Gestures, Convolution Neutral Networks.
THE PROJECT METHOD AS ONE OF THE TOOLS FOR ACHIEVING AN EDUCATIONAL OUTCOME IN PREPARATION FOR A PRACTICE-ORIENTED EXAM IN A HIGHER EDUCATION INSTITUTION

Introduction. The article analyzes various interpretations of the structure of the educational outcome. The experience of applying the project method in the process of organizing preparation for the practice-oriented exam of undergraduate students in “Pedagogical Education” is described from the standpoint of active and technological approaches. Materials and methods. In the course of the study, the following methods were used: analysis of normative, scientific, psychological and pedagogical, methodological literature on the implementation of the conditions for conducting a practice-oriented exam; survey of exam participants. Results. Based on the experience of conducting a practice-oriented exam for undergraduate students, an analysis of the use of the project method in preparing students for obtaining an educational outcome and the development of the author’s project are presented. Conclusion. The authors identified and substantiated the need to use the project method in preparing students for a practice-oriented exam in the module associated with the creation of a video.
STUDYING THE RELATIONSHIP BETWEEN PERSONAL-EMOTIONAL DETERMINANTS AND PROFESSIONAL BURNOUT IN LAWYERS

Introduction. The emotional and personal traits of lawyers determine the effectiveness of their professional careers. The negative effects of lawyer burnout impede the qualified and productive performance of their professional activities, which manifests in a decrease in the quality of protection provided to principals. The article presents empirical findings on the influence of emotional and personal determinants on the formation of professional burnout syndrome among lawyers. The purpose of the article is to study the relationship between age, gender, professional experience, emotional and personal determinants, and components of burnout in the legal profession. Materials and methods: a method for diagnosing emotional burnout by C. Maslach, S. Jackson (adapted by N.E. Vodopyanova), a multi-factor personality questionnaire 16PF by R. Cattell. Results. Empirical research has shown that lawyers’ emotional and personal traits contribute to their professional burnout. Thus, lawyers have a reduced level of general optimism, a low level of professional and personal self-esteem; they do not believe in themselves, and underestimate professional achievements. Conclusion. Empirical research has revealed that women in the legal profession, as well as middle-aged professionals, are at increased risk of burnout as they are characterized by high emotional sensitivity and anxiety. The empirical findings indicate that lawyers possess insight, erudition, concentration, developed abstract thinking and have a high linguistic culture. The analysis of the findings clearly demonstrates the relevance of the problem.
DarkNet19 and multiple feature selectors based deep feature engineering model for fake signature detection

This study was conducted to automatically detect whether signature images are genuine or forged using the Darknet19 model and feature selectors. Initially, various features were extracted from the signature images. Feature selectors such as mRMR, Chi2, ReliefF, ANOVA, and Kruskal Wallis were employed to choose these features. According to the results of the study, the accuracy results obtained without feature selection are as follows: No feature selector yields 97.92%, mRMR yields 98.83%, Chi2 yields 98.48%, ANOVA yields 98.56%, Kruskal Wallis yields 98.60%, and ReliefF feature selector achieves an accuracy of 99.32%. The results indicate that the ReliefF feature selector provides the highest accuracy. The results obtained using the ReliefF feature selector showed a 1.4% increase in accuracy compared to the results obtained without feature selection. This study demonstrates that artificial intelligence and feature selection methods can effectively detect signature forgery.
The problem of developing acceptable risk skills among students of higher technical educational institutions in pedagogical science

World experience shows that the main indicator of security is the level and quality of life of the population that withstands the challenges of modern risks. The article discusses the use of the “Concept of Acceptable Risk” for students of higher technical institutions to improve their risk tolerance skills using interactive cases.
Consciousness, smysl and untranslatability

An unbiased metaphysics of consciousness allows us to put forward a thesis that con­sciousness is not an object, but a fundamental problem of modern philosophy and differ­ent solutions of this problem define the history of European philosophy. For Descartes, consciousness is Cogito, the personalization of substance by the mind acting in a variety of cogital, conscious acts. Kant, for whom substance is a mode of thinking the unity of experience, Cogito is not a thing (Res), but a transcendental condition for the forma­tion of notions in the process of categorical synthesis. The resurgent phenomenology and analytical philosophy of consciousness in the 21st century aim at studying consciousness, respectively, in the transcendental-theoretical and pragmatic-naturalistic settings. Contin­uing the Kantian line of thinking, one can see the processuality of consciousness as data acquisition process, but the verb formed from a noun “consciousness” (for this processu­ality) is difficult to adequately translate into English. To achieve completeness in identi­fying the problem area of the philosophy of consciousness, it is necessary to take into ac­count one more type of conscious activity referred to as “osoznanie” in Russian (“aware­ness”, “coming into consciousness about something”). The Russian verb formed from the noun Smysl cannot be adequately translated into English as the main language of the ana­lytical philosophy of consciousness and this term can mean the opposite of data acquisi­tion process and can refer us to the idea of Integrity (A.V. Smirnov). Once the most im­portant, meaningful and existential activity of the mind is identified as the denotation of this term, the problem of Smysl acquires the potential of changing the perspective on the possibility of creating a “strong” AI.
Type-3 Fuzzy Control

An overview of the crucial concepts and theirFuzzy Control utilization in type-3 fuzzy controlType-3 Fuzzy Control, which is a novel theory to model uncertaintyUncertainty in control, is considered in this monograph. The prominent focus is directed to the underlying reasons for utilizing type-3 fuzzy theory in achieving efficient intelligent control.
Implementación de un Modelo de Regresión Lineal Múltiple aplicando (PLN) para predicción de artículos científicos.

This article explains the importance of multiple linear regression in different applications, such as natural language processing and time series forecasting. Its relevance in the creation of intelligent tutoring systems that adapt to the individual needs of students is highlighted. The theoretical framework on regression models is presented, from simple linear regression to multiple linear regression, and the different types of variables involved in the model are described. In addition, the types of data, data preparation techniques, model evaluation, and methodology used in data analysis work are discussed. The crisp-dm methodology was applied, which is divided into six phases: collect data, prepare the data, model, evaluate, implement and maintain. The process of data collection and labeling of the IoT data, the loading and visualization of the database, and the techniques used in the cleaning and transformation of variables are described. Some common data preparation techniques and measures used to assess the quality of model fit are also explained.