Reviewerly/exHarmony huggingface dataset:
Artificial Intelligence Regulation, Minimum Viable Products, and Partitive Innovation

This Essay identifies entrepreneurs’ experimentation with minimum viable products as a means for proposed AI-specific regulation to constrain innovation in other markets. To that end, the Essay coins the term “partitive innovation” to describe a business’s perspective when it uses a domain-agnostic, highly generalizable technology to introduce a product to a particular market, thereby eliciting overbroad domain-specific regulations that impair alternative innovative uses of the underlying technology. This process is unfolding with AI, as broadly constructed proposed regulation can restrict innovation in adjacent fields by shifting software MVPs’ mainly ex-post regulatory regime to one with recurring duties or ex-ante obligations. Consequently, the upfront cost of developing and altering those MVPs increases, thus effectively creating a barrier to entry in a market other than the one targeted by AI regulation. The Essay then considers real-world examples of proposed AI policy, California’s Assembly Bill 331 and the latest markup of the European Union’s AI Act, to illustrate the kinds of provisions that leverage AI products’ generality to expand policy influence into other domains. The Essay then reviews a sampling of potential options to mitigate the regulatory spillover, including clear textual authority limits, grace periods based on enterprise scale, and monitoring the Food & Drug Administration’s opposite trend of using Predetermined Change Control Plans to reduce the number of ex ante reviews needed for medical AI devices.
Mobile Payment Use and Crime Reduction

This study investigates the influence of mobile payment application use on crime rates. Using a unique database of verdicts from criminal courts in China and an index measuring the extent of mobile payment usage, we find that a one standard deviation increase in mobile payment adoption and usage leads to an 11% decrease in the theft rate. Furthermore, the effect of widespread mobile payment adoption on theft rates is more pronounced in areas characterized by a higher prevalence of cash transactions. These findings suggest that the decrease in cash circulation in society due to mobile payment use can reduce incentives for theft. However, we do not find evidence linking mobile payment usage to other types of criminal activity, including robbery, arson, brawling, homicide, and serious injury by vehicle.
Criticality-Aware Monitoring and Orchestration for Containerized Industry 4.0 Environments

The evolution of industrial environments makes the reconfigurability and flexibility key requirements to rapidly adapt to changeable market needs. Computing paradigms like Edge/Fog computing are able to provide the required flexibility and scalability while guaranteeing low-latencies and response times. Orchestration systems play a key role in these environments, enforcing automatic management of resources and workloads’ lifecycle, and drastically reducing the need for manual interventions. However, they do not currently meet industrial non-functional requirements, such as real-timeliness, determinism, reliability, and support for mixed-criticality workloads. In this paper, we present k4.0s, an orchestration system for Industry 4.0 (I4.0) environments, which enables the support for real-time and mixed-criticality workloads. We highlight through experiments the need for novel monitoring approaches and propose a workflow for selecting monitoring metrics, which depends on both workload requirements and hosting node guarantees. We introduce new abstractions for the components of a cluster in order to enable criticality-aware monitoring and orchestration of real-time industrial workloads. Finally, we design an orchestration system architecture that reflects the proposed model, introducing new components and prototyping a Kubernetes-based implementation, moving the first steps for a fully I4.0-enabled orchestration system.
Efficient FPGA Implementation of a Convolutional Neural Network for Surgical Image Segmentation Focusing on Recursive Structure

This paper discusses FPGA implementation of a convolutional neural network (CNN) for surgical image segmentation, which is part of a project to develop an automatic endoscope manipulation robot for laparoscopic surgery. From a viewpoint of hardware design, the major challenge to be addressed is that simple parallel implementation with spatial expansion requires a huge amount of FPGA resources. To cope with this problem, we propose a highly efficient implementation approach focusing on the recursive structure of the proposed network. Experimental results showed that the dominant computing resources could be reduced by about half in exchange for a 6% increase in memory resources and a 0.01% increase in latency. It was also observed that the operations performed on the network itself did not change, keeping the same inference results and throughput.
Co-browsing Cubic Gantt Charts with VR Goggles for Collaborative Immersive Visual Data Analytics

This paper proposes a new 3D visualization tool based on Cubic Gantt Charts. This new tool has co-browsing functionality that allows multiple users to simultaneously see the visualization results of Cubic Gantt Charts and supports VR goggles. Therefore, it makes possible collaborative immersive visual data analytics. In addition, this new visualization tool has a recording function that stores users’ visualization activities such as translation, rotation and zooming, and replay function that shows past activities to current users later. These recording and replaying functions are significant for multiple users to analyze data collaboratively. This paper introduces these functions and explains how they work for collaborative immersive visual data analytics.
Design and Performance Evaluation of a Fuzzy-Based System for Assessment of Emotional Trust

Trust is used as the foundation for decision-making in many situations. Therefore, the concept of trust is attracting attention in various research fields. Emotional trust is one of the essential aspects of the trust. In this paper, we propose a fuzzy-based system for assessment of emotional trust considering three parameters: Expectation (Ex), Willingness (Wi) and Attitude (At). We evaluate the proposed system by simulations. The simulation results show that when Ex, Wi and At are increasing, the ET parameter is increased.
Towards the Reconstruction of the Evolutionary Behaviour of Finite State Machines in the Juridical Domain

Juridical systems are inherently complex, since they address numerous and critical processes that are regulated by several laws and regulations. Furthermore, such regulations change with more or less frequency, thus provoking the evolution of the entire Juridical system. In order to adequately regulate a sophisticated system, it is imperative to establish and utilize models as well as to monitor the system’s progression. In this paper, historical logs of Trials are used to build model that can be used to keep track of the regulation changes, and their effect on the Juridical system, through the years. In particular, the formalism provided by Finite State Machines will be used to represent the information extracted from the logs, and to provide a homogeneous model.
Riffs on the Poem “A una anciana / to an Old Woman”

A poet and former professor revisits a poem he wrote in 1959 and how bilingualism informs his life, teaching, and writing.
OPTIMALISASI PERFORMA AKSES HALAMAN WEB DENGAN MEMANFAATKAN TEKNIK LOAD BALANCING PADA GOOGLE CLOUD

Web pages are one of the access doors for internet users to be able to access resources on the internet. The increasing number of web page users today, demands that web services also be faster and more responsive in handling user requests. The increasing number of requests by the number of users causes the web to be overloaded so that it is necessary to share the load on the so that the workload of the machine becomes lighter. One solution offered is to perform load balancing on the Google Cloud platform. By configuring this platform allows the machine to perform load sharing automatically when it reaches a certain threshold. Based on experiments conducted, automatic load sharing on the Google Cloud platform can be done by configuring Load Balancing. Based on the testing process conducted 15 times shows that the platform can perform load sharing automatically in accordance with the specified limit
Miscue Analysis and a Reading Revolution

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How Improv Helps Students Connect with Real Readers

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YA Voices: We Can’t All Afford Good Toilet Paper: Why You and Your Students Need to Read Stories about Kids Who Struggle Financially

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Speaking My Mind: Starting with Students: A Framework for High School Reading

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Implementation of socially oriented educational goal in foreign language class at university

Importance. Social orientation of upbringingis aimed at preparing students for socialization, which is seen as the process of a person’s entering the social environment and adaptation to cultural, psychological and, especially, sociological factors that are not sufficiently considered in pedagogical literature. The goal of the article is to study practical examples of the socially oriented upbringing goal implementation with the examples of the content aspects in an authentic English textbook Language Leader Intermediate. Research methods. Drawing on the theoretical analysis of scientific literature and systematization of existing humanistic upbringing concepts, the pedagogical and methodological conditions for realization of the social upbringing aspect in teaching a foreign language at the university are identified and substantiated. Results and Discussion. It was revealed that the formulation of the educational goal and its implementation in a foreign language classroom causes difficulties for many students of a pedagogical profile. The social significance of the following topics is considered: personality, travel, work, endangered languages, advertising, business, design, education, technology, trends, art and mass media, crime. Specific learning tasks are proposed for classroom and independent work of students, using the resources of the Internet, to discuss social content in the formats of presentations, essays, dialogues, debates. The textbook is thus expanded due to creative tasks performed by students, focusing on such aspects of modern civil society as selflessness of volunteers, social consequences of technocracy, ethical dilemmas of business, inclusive education, environmental problems, social advertising, respect for cultural phenomena, boundaries of humanity and tolerance in relation to criminals, etc. Conclusion. The implementation of a socially oriented educational goal in a foreign language class at a university should be carried out by emphasizing the essential meaningful links between the topics of the studied foreign language manual Language Leader Intermediate and the problems existing in contemporary society. The students’ value orientations being formed are associated with a deeper insight into the essence of social problems, the development of their civic consciousness.
A Comprehensive Evaluation and Comparative Analysis of Data Mining Techniques for Sentiment Analysis in Social Media

Sentiment analysis, also known as opinion mining, has emerged as a pivotal field in the realm of social media. With the exponential growth of user-generated content on various platforms, understanding and extracting sentiments have become essential for businesses and organizations. In this research paper, we embark on a meticulous journey, delving into a comprehensive evaluation and comparative analysis of various data mining techniques employed for sentiment analysis in social media. The primary objective of this study is to provide practitioners and researchers with valuable insights into the strengths, limitations, and performance metrics of these techniques. By conducting an extensive evaluation, we aim to shed light on the effectiveness of different data mining approaches in capturing sentiments accurately and efficiently. Furthermore, we explore the challenges and limitations associated with sentiment analysis in social media, addressing the intricacies involved in analysing the vast and dynamic landscape of user-generated content
A complex of problematic foreign language tasks aimed at professional orientation of students of secondary vocational education

Importance. The development of secondary vocational education is the main feature of the education system today. Now graduates of schools after the 9th grade prefer to study under the programs of secondary vocational education for the purpose of subsequent admission to the university. In this connection, there is a need for professional oriented training, which can be implemented in foreign language lessons through an integrated approach (subject-language integrated learning). The purpose of the study is to develop a set of problematic foreign language tasks aimed at professional orientation of students of secondary vocational education. Materials and methods. The developed complex of problematic foreign language tasks of a professional oriented nature for students in the secondary vocational education system is based on works on integrated teaching of foreign languages, professional orientation teaching of a foreign language, various typologies of foreign language tasks. In our study, the typology of E.I. Passes exercises is taken as a basis, which consists of conditional speech and speech tasks. The research method was theoretical analysis of literature in the field of foreign language teaching methods, processing of the received material and its synthesis. Results and Discussion. For the practical implementation of professional oriented training, a set of problematic foreign language tasks aimed at the professional orientation of students of secondary vocational education was developed. The complex of problem tasks consists of conditional speech tasks (on vocabulary, phonetics, grammar and translation) and speech exercises (professionally oriented). Conclusion. The novelty of the conducted research lies in the development of its own complex of problematic foreign language tasks – conditional speech tasks (for vocabulary, grammar, phonetics, exercises in translation) and speech integrated tasks of a professional orientation. This typology of tasks will fully realize the potential of an integrated approach with a professional oriented goal for students in the system of secondary vocational education.
THE STATE OF STANDARDIZATION OF POST-QUANTUM CRYPTO-ALGORITHMS AT THE GLOBAL LEVEL

Abstract. In the digital age, cryptography is widely used in various important systems such as financial, military and government ones, medical records etc.&#x0D; The life of modern people is closely connected with the cryptography. We send messages via instant messengers without even considering in which way the security of communications and data is ensured. We buy things both online and transfer money with confidence in transaction security. The level of digitization of our society is constantly increasing, and the digital data needs a reliable protection, which makes cryptography a current topic.&#x0D; Cryptographic systems ensure our security and the basic properties of information, such as privacy, integrity, availability.&#x0D; However, with the beginning of the development of quantum computers, the field of cryptography has developed in a new direction. Quantum cryptography is a science that studies the methods of communication systems protection. It is based on the idea that patterns of quantum physics (physical properties described by the laws of quantum optics, quantum electrodynamics, or quantum field theory) are inviolable. The current state of development and usage of powerful quantum computers, as well as their mathematical and software, is strictly confidential and securely protected. Only clear-cut information about quantum computers and their usage in cryptography is provided.&#x0D; NIST has announced an open competition to select quantum-resistant public-key cryptographic algorithms. After the third round, CRYSTALS-KYBER, CRYSTALS Dilithium, FALCON, and SPHINCS+ were proposed to be standardized. NIST has already recommended moving from the sizes of keys and algorithms that provide 80 security bits to the sizes of keys and algorithms that provide 112 or 128 security bits in order to protect against classic attacks.&#x0D; Post-quantum cryptography, which with its complexities still requires a more detailed study, challenge science once more. However, it is unknown when the changes will occur and when the quantum era will begin, as well as what consequences they will have. It is only possible to predict how many advantages will have quantum calculations compared to usual, and how different the new quantum models will be from classic ones.
Introduction to the Special Issue on Digital Natural and Cultural Heritage: Opportunities and Challenges

This introduction to the special issue “Digital Natural and Cultural Heritage” has two aims: First, it briefly introduces individual contributions and explains how they relate to one another. Second, it explains our motivation for producing a special issue aimed at bridging the perceived gap between the fields of digital natural and cultural heritage. More concretely, it presents different computational approaches to tackle heterogeneity in digital natural and cultural heritage collections. Here the goal is to make information retrievable, interlinked, and interpretable for researchers and the general public. However, instead of offering final solutions, this special issue rather hopes to highlight the enormous potential that collaborations across domains have. We hope that we offer a starting point for transdisciplinary research in which researchers, curators, and infrastructure developers of both domains communicate and work much tighter together.
Cycles in Mallows random permutations

Abstract We study cycle counts in permutations of drawn at random according to the Mallows distribution. Under this distribution, each permutation is selected with probability proportional to , where is a parameter and denotes the number of inversions of . For fixed, we study the vector where denotes the number of cycles of length in and is sampled according to the Mallows distribution. When the Mallows distribution simply samples a permutation of uniformly at random. A classical result going back to Kolchin and Goncharoff states that in this case, the vector of cycle counts tends in distribution to a vector of independent Poisson random variables, with means . Here we show that if is fixed and then there are positive constants such that each has mean and the vector of cycle counts can be suitably rescaled to tend to a joint Gaussian distribution. Our results also show that when there is a striking difference between the behavior of the even and the odd cycles. The even cycle counts still have linear means, and when properly rescaled tend to a multivariate Gaussian distribution. For the odd cycle counts on the other hand, the limiting behavior depends on the parity of when . Both and have discrete limiting distributions—they do not need to be renormalized—but the two limiting distributions are distinct for all . We describe these limiting distributions in terms of Gnedin and Olshanski's bi‐infinite extension of the Mallows model. We investigate these limiting distributions further, and study the behavior of the constants involved in the Gaussian limit laws. We for example show that as the expected number of 1‐cycles tends to —which, curiously, differs from the value corresponding to . In addition we exhibit an interesting “oscillating” behavior in the limiting probability measures for and odd versus even.
Virtual Reality (VR) Technology in Construction Education

In the construction-related course, there is a lot of knowledge that is tough to verbalize or teach, especially understanding building details through imagination without experiencing or seeing the construction elements in reality. Visual reality (VR) enables users to visualize the complexity of buildings. The research method used in this research is qualitative method in which interviews were conducted in this research. The interviewees were invited to try the VR technology and data was collected. Throughout the whole research, the workflow of converting a 3D model to a VR model is developed, the constraints of adopting VR are identified and strategies are recommended. The results in the findings showed that all the interviewees need guidance when using the VR technology and some of them suffer from motion sickness. The findings of this research serve as a reference for universities that are interested in adopting VR technology in education to enhance knowledge of VR technology and provide better understanding in the classes.
MetaStrategy of MetaCities

This study aims to analyze voter-municipality and virtual political communication within the scope of the BLD 4.0 project of the Ankara municipality, which is the first Turkish municipality to join the Metaverse world and to examine the voters' perceptions about the Metaverse world. The study evaluates the comments submitted to the official social media accounts of the Ankara municipality, which has declared it will participate in the Metaverse world. The results of the analysis conducted, the importance of digitalization in governance has emerged, and it has been found that there is awareness among citizens regarding the concepts of industry 4.0 and the Metaverse. In particular, it is understood that the perception of innovative leadership created by the digital municipalism approach creates trust in a political leader.
Local People's Participation in Cultural Heritage Conservation and Management

Public participation in cultural heritage, with particular regard to conservation, has been a concern ever since the Venice Charter, and it still is to this day. This approach has also been highlighted in World Heritage documents. The Faro Convention adopted a shift in focus from the conservation of cultural heritage values to the value of cultural heritage for society. Accordingly, cultural heritage institutions inevitably have to apply a participatory approach in order to achieve sustainable conservation. Moreover, a number of papers have focused on the importance of public participation in heritage conservation and tourism management. This chapter studies the concept of people's participation in cultural heritage conservation and management in international charters and documents. It also takes into account various methods and approaches in Human-Computer Interaction studies, which have valuable resources for user engagement in designing services by people for people, in order to propose an effective, applicable people-participation approach to cultural heritage management.