Reviewerly/exHarmony huggingface dataset:
Adaptively Secure Constrained Verifiable Random Function

Constrained Verifiable Random Function (CVRF) is a powerful variant of Pseudorandom Function (PRF). Simply put, CVRF asks the outputs of PRF to be verifiable and the secret key of PRF to be delegatable, thus simultaneously resolving the PRF’s trust and “all or nothing” problems. Among the existing constructions of CVRF, the optimal implementation of security, to our knowledge, should be the semi-adaptive security of [SCN 2019] where an adversary can make some queries before issuing its attack target but get critical public information only after the attack. Here we give a generic construction of CVRF that achieves a stronger security, called adaptive security: the adversary has access to this public information at the beginning of the security experiment. Concretely, we first define a slightly weaker security of CVRF, called single-key security, and prove its existence. Then, using it and Indistinguishability Obfuscation and Partition Scheme, we construct an adaptively secure CVRF. Notably, our proof technique may provide a direction for achieving adaptive security in scenarios related to Indistinguishability Obfuscation, where puncturable techniques have been commonly used before. Beyond this, we analyze the possible implications of our proposed construction in the micro-payment scenario.
Joint statement by CETAF, SPNHC and BHL on DATA within scientific publications: clarification of [non]copyrightability

The EU and other states have made legislative efforts to clarify data mining in copyrightable works, but the situation remains obscure and confusing, especially in a globalised field where international legislation can contribute to opacity. The present paper aims at asserting a common position of three communities representing biodiversity sciences and data specialists on this issue and to propose common and best practice guidelines so that they become universally accepted rules. As scientific data users, we take the standpoint that scientific data are not copyrightable and, furthermore, they can be accessed, shared and reused freely. Thus, once legal access has been gained to copyrighted publications, the data within those scholarly publications can be considered to be open data that is freely extractable. This set of recommendations has been reached specifically for scientific use and societal benefits.
The Application of Intelligent Piano Teaching in College Education

With the advent of the age of artificial intelligence, intelligent music education is also developing rapidly. The intelligent piano is an intelligent product that combines conventional piano technology with the latest computer network technology, which indicates that piano learning technology has entered the age of intelligence. The purpose of this study is to explore the advantages of intelligent pianos, verify the effectiveness of intelligent pianos for piano skill improvement, and to investigate how to use intelligent pianos in combination with the intelligent features they offer for piano teaching to college students. Using a quasi-experimental research design, this paper provides a quantitative analysis by comparing the learning of two groups of students in different teaching, and pointed out the difference in performance between the two groups of students. The strengths and significance of intelligent piano teaching are further discussed with some recommendations for future studies.
Analysis on Strengthening the Construction of School Spirit in Private Independent Colleges and Universities

Private independent colleges and universities shoulder the responsibility of training application-oriented talents. Teaching atmosphere, learning atmosphere, research atmosphere is not only related to the quality of talent training and the level of school running, but also related to the healthy development of independent colleges and universities themselves. This paper analyzes and discusses the core connotation and index system of the school spirit construction of China’s private independent colleges and universities: using the method of literature, investigation and research, inclusion and summary and logical analysis, strengthening the construction of the study style, advocating scientific research, and constructing three-dimensional figures of “finding problems, analyzing problems, and solving problems”. Taking nanjing tech university pujiang institute as the research object, this paper puts forward some ideas and countermeasures to strengthen the construction of school spirit. It provides some theoretical and practical guidance for the evaluation system of campus atmosphere construction of private independent colleges in China.
Artificial intelligence service reduces customer citizenship behavior for warm brands versus competent brands

Chatbot services powered by artificial intelligence (AI) have begun to replace staff on the frontline in various industries. This research examined how AI service affects customer citizenship behavior. Drawing on emotional spillover theory, we conducted two experiments ( N s = 140 and 200). The results demonstrated there was a negative effect of AI (vs. human) service on customer citizenship behavior and identified positive emotion as the underlying mechanism of this effect (Study 1). Additionally, brand stereotypes were found to moderate the relationship between service type and positive emotions (Study 2). Specifically, the relationship became weaker for competent (vs. warm) brand service. These findings contribute to promoting customer citizenship behavior in unmanned contexts and provide insights for the application of AI services in frontline operations.
Sentimental Analysis using Neural Network

This paper presents a comprehensive exploration of sentiment analysis using neural networks, focusing on architectures like RNNs, LSTMs, and transformers. Key findings include an in-depth analysis of model effectiveness, challenges in training data, and ethical considerations. The survey showcases the prominence of RNNs in capturing nuanced sentiment patterns, offering valuable insights for researchers and industry practitioners. Methodologically, dataset curation, preprocessing, and ethical considerations are discussed, culminating in a systematic approach to sentiment analysis. The model's applications span customer feedback, brand monitoring, market research, political sentiment analysis, healthcare feedback, content moderation, financial sentiment analysis, and educational feedback analysis. The paper concludes with a significant contribution to the evolving landscape of sentiment analysis, emphasizing the integration of neural networks for a deeper understanding of human sentiment
Educational imaginaries of AI

Education has always been a way to prepare citizens for the future. Right now, artificial intelligence (AI) is regarded as a key emerging technology that will change the future radically in all areas of life. As such, many educational stakeholders are considering how best to convey the necessary knowledge and skills to the general population to prepare them for a future where AI is ubiquitous. But what exactly are we supposed to learn, and why? This chapter looks at problematizations (ways that problems and solutions are co-constructed) and epistemic injustice (ways in which certain knowledge is privileged) in international educational and technological policies with the overall aim of deepening our scientific understanding of education as a political solution to societal problems (particularly those involving AI and autonomous systems), thereby supporting the development of critically reflexive and just citizen education about AI futures.
Pragmatism and AI: a critical approach

Pragmatist philosopher John Dewey argued that technological development was continuous with societal development. As a result, technology and society are mutually entangled in transaction with one another. This chapter will apply John Dewey’s theory of culture and technology to algorithmic platforms, commonly known as “artificial intelligence,” to indicate the need to consider not simply the platforms themselves, but the data they rely upon, as continuous with culture to better understand the indirect and direct consequences of their deployment and how they structure experience.
Rede Blockchain Brasil (Brazil Blockchain Network): government Blockchain network in Brazil

This case study presents the RBB, a public-permissioned network focused on government applications and public interest in general. The RBB is a joint initiative led by the Brazilian Development Bank and the Brazilian Federal Court of Accounts, and other institutions in Brazil. The case briefly reviews DLT concepts, from their inception to their applications in blockchain networks, with its main characteristics, challenges, and future perspectives. Currently, the RBB is in an early stage of development, and the article describes from its conception to the moment of membership of the participants, whose main entry rule is to be an institution of public interest. The article goes through concepts of Blockchain technology, its networks, the presentation of RBB, and the choices made for the Brazilian network. Finally, the text presents future perspectives, indicating the following challenges to overcome and the migration from the laboratory to the pilot phase.
Pengembangan Media Scrapbook terhadap Keterampilan Menulis Pantun pada Kelas VII

This study is motivated by the lack of availability of learning media to write Pantun in class VII. This research and development was carried out to produce: 1) Scrapbook media in learning to write rhymes for class VII, 2) the level of feasibility and response to the developed media. The research method adopts the steps of Research and Development (R &amp; D) Borg &amp; Gall in Emzir which limits research in a small scale in seven stages, namely: (1) research and information gathering, (2) product design, (3) product validation, (4) product revision, (5) product trial, (6) product revision, and (7) product results. Scrapbook media is validated by two experts, namely material experts and media experts. The results of product validation were obtained: 1) The percentage of material expert validation obtained a score of 95% with very decent criteria, 2) The percentage of media expert validation obtained a score of 96.66% with very decent criteria. The overall results in general, both the validation of material experts and media experts on Scrapbook media, are very feasible to be used without improvement. In addition, the results of student responses in the initial trial obtained a score of 93.12% with very feasible criteria and the results of student responses in the limited trial obtained a score of 90.33% with very feasible criteria. Based on the data obtained, it shows that the development of Scrapbook media on rhyme writing skills in class VII gets a very good response and is suitable for use as a medium for learning to write rhymes in class VII.
Bio-inspired Intelligence-based Multi-agent Navigation with Safety-aware Considerations

Multiple autonomous vehicles (MAVs) enhance efficiency and task execution compared to a single vehicle. Real-world applications necessitate MAVs to safely navigate in dynamic formation along planned trajectories, while sensing, mapping, and avoiding obstacles. Addressing the need for trajectory adaptation amidst real-world scenarios, a safety-aware bioinspired framework is proposed in this paper. Our approach employs a chaotic gravitational search algorithm (CGSA) for global trajectory generation in a predefined formation. A quadtree-driven variable resolution (QVR) algorithm using monocular cameras provides occupancy grid maps (OGMs) at different resolutions. A formation control with target tracking minimizes a potential function for MAVs to follow the CGSA trajectory. Additionally, a bio-inspired neural network (BNN) local navigator coupled with dynamic moving windows (DMW) advances obstacle avoidance and refines safe trajectories using QVR and OGMs. Simulation and comparative studies validate the framework’s robustness and effectiveness for MAVs.
Study on the Effects and Methods of Writing Feedback: Focusing on comparison of face-to-face and non-face-to-face writing feedback

This study examined the effects of writing feedback and compared the characteristics of “face-to-face” and “non-face-to-face” writing feedback. Using this, we proposed a writing feedback teaching method. Thus, this study conducted a survey targeting 230 learners pursuing &lt;Thinking and Expression&gt; at Kyonggi University, in the second semester of 2022.&#x0D; Many learners responded positively to the “effectiveness of writing feedback.” Particularly, they believed that writing feedback was helpful in developing learners’ competencies. Moreover, a survey on “methods of writing feedback” revealed that individual communication with the instructor was an advantage in face-to-face feedback, whereas it was a disadvantage for learners who were not accustomed to communication. Alternatively, being able to view repeatedly was an advantage in non-face-to-face feedback, whereas immediate interaction was a disadvantage.&#x0D; Therefore, writing feedback should be designed as follows. First, the content of writing feedback should be planned considering the development of learners’ competencies. Second, the method of writing feedback should be implemented by linking face-to-face and non-face-to-face writing feedback.&#x0D; I believe learners need writing education. If writing feedback is designed to reflect the needs of learners, it could be an effective teaching method.
Emergency Room Medical Record Modification to Optimize Patient Education at X Hospital

Regularly delivering information to patients and their families becomes a challenge for medical personnel in the Emergency Room (ER). Patients, or their families, often do not remember that education about their illness has been delivered. It can also happen because family members who took the patients into the emergency room differed from those who received the education. This situation can lead to misunderstandings, especially if there are legal problems in the future. This study aimed to find the priority problem in the hospital, the root of the problem, and solutions to optimize patient education in the ER. The methods used in the problem-finding were interviews, Focus Group Discussions (FGD), and USG (Urgency, Seriousness, and Growth) scoring. The solution selection method used FGD, fishbone analysis, 5-whys table, and CARL (Capability, Accessible, Readiness, and Leverage) scoring. The problem found was the lack of optimal patient education in the ER. The priority of the root of the problem found was no written documentation in the patient's medical record regarding providing education to patients or families. The chosen solution was to modify the ER medical record by including a checklist of educational points and a column for patients or families to sign. Further research is needed to prove the effectiveness of this medical record modification in optimizing education in the ER.
Chapter 6 A critical look at ‘Pato’ y ‘Maricón’: Puerto Rican Gay teachers’ interventions with homophobic language

In this chapter, the author employs critical discourse analysis (CDA) alongside a narrative frame to interrogate how interventions against homophobic slurs in Puerto Rico are thought of and/or understood by gay teachers. Data was collected from three Puerto Rican teachers who identify as gay. An analysis of the data revealed two broad themes that characterized how these teachers thought of and engaged with the pato/maricón rhetoric: 1) talking or hesitating about homophobic language and 2) drawing upon personal Puerto Rican queer culture references and/or experiences to communicate with students. In addition to the themes, counterexamples that directly tie into the participants’ understanding of the two main themes are provided. The findings highlight the benefits of these teachers’ having the lenses and experiences to understand and make sense of homophobic slurs as well as implement interventions that may prevent the harmful and weaponized way language may be utilized.
NAVIGATING DISRUPTIVE CONSUMER BEHAVIOR AND TECHNOLOGIES: OPPORTUNITIES, NICHES, TRANSFORMATION, AND COLLABORATION

In the contemporary and ever-evolving business environment, the convergence of disruptive consumer behavior and cutting-edge technologies has ushered in a period of remarkable transformation and opportunity. It is imperative for entrepreneurs to comprehend the motivations and actions of these empowered consumers as they navigate through this transformative phase. Disruptive technologies represent innovations that disrupt established markets. Collaborative consumption, emphasizing shared access, efficiency, waste reduction, and community building, has emerged as a compelling trend. This literature review explores the impact of disruptive consumer behavior and technological shifts prompted by observed changes in consumer behavior and technological disruptions. The primary objective of this study is to provide insights and strategies for individuals and businesses to effectively respond to disruptive consumer behavior and technologies. In summary, today's entrepreneurial landscape is characterized by perpetual change and adaptation, with innovation and disruptive forces at its core. Entrepreneurs who embrace innovation, adapt to disruptive consumer behavior, leverage disruptive technologies, and engage with collaborative consumption are not only well-equipped to navigate disruptions but also positioned to pioneer new growth opportunities, drive industry evolution, and shape the future of business.
DOES MICROFINANCING, FINANCIAL INCLUSION, AND EDUCATIONAL LOANS ALLEVIATE POVERTY AND INEQUALITY: EVIDENCE FROM VIETNAM

Poverty reduction is considered as the top priority of governments and international institutions. At the same time income inequality is a far-reaching concern especially in emerging nations. US former president even labelled income inequality and poverty are the challenges of our times. Theoretically there are different views on the impact of microfinancing and financial inclusion on income inequality and poverty, hence, it is interesting to evaluate these estimations in Vietnamese context from 1986 to 2020. The researchers have applied the Bayesian Auto-regressive Distributed Lags (BARDL) model and exposed that microfinancing, financial inclusion, educational loans increase income equality and reduces poverty. Based on the evidences, the paper implies that government institutions must focus on microfinancing and financial inclusion aspects to facilitate poor and boost prosperity which ultimately brings income equality.
1 Virtual reality

The demand for virtual reality (VR) is increasing at a rapid rate and companies are also developing new ways to commercialize this as soon as possible. There are a lot of applications of VR in this present century, for example, in health care, education, entertainment, human welfare and especially in the gaming industry where full immersion will also be available soon commercially. It is also used for treating people using psychotherapy which are in the trial and research stage. The entertainment industry will also be set to new standards as VR develops. Likewise other fields will also benefit from the development of VR technology.
7 Virtual trial room

The emergence of virtual trial rooms has revolutionized the retail industry by providing customers with an immersive and interactive shopping experience. This paper explores the concept of virtual trial rooms, their technology, and their adoption by leading businesses worldwide. Virtual trial rooms utilize virtual reality (VR) technology to enable customers to try on clothes, accessories, and other products virtually, eliminating the need for physical fitting rooms. The technology behind virtual trial rooms involves the use of electronic devices such as goggles or gloves fitted with sensors, creating a computer-generated simulation that allows users to experience and interact with a three-dimensional virtual environment. By simulating the appearance and fit of various products, virtual trial rooms offer customers a realistic preview of how they would look or feel wearing the items. Numerous prominent businesses have embraced virtual trial rooms to enhance the shopping experience for their customers. Companies such as Ralph Lauren, Rebecca Minkoff, and Neiman Marcus have integrated virtual trial rooms into their stores, leveraging technologies like smart mirrors, RFID tagging, and interactive displays. These innovations allow customers to visualize themselves wearing different outfits, customize lighting and backgrounds, and even share images on social media. The advantages of virtual trial rooms are substantial. They enable customers to save time by eliminating the need for physical try-ons, provide a personalized and engaging shopping experience, and offer a wide range of products and styles to choose from. Additionally, virtual trial rooms reduce the need for physical inventory, enhance customer satisfaction, and facilitate better decision-making for online purchases. However, virtual trial rooms also come with certain limitations. Technology requires significant investment in hardware, software, and infrastructure. Technical challenges, such as achieving accurate sizing and realistic product representation, need to be addressed. Moreover, some customers may still prefer the traditional inperson fitting experience, and concerns about privacy and data security should be addressed to ensure customer trust. In conclusion, virtual trial rooms offer tremendous potential for the retail industry, providing customers with an immersive and convenient way to try on products virtually. While there are challenges to overcome, the adoption of virtual trial rooms by leading businesses demonstrates their value and potential for transforming the shopping experience. By continuously improving the technology and addressing customer concerns, virtual trial rooms can reshape the future of retail.
Metadata. Why?

I have had some interesting discussions recently regarding metadata. What emerges is that it can be quite a broadly defined concept and it is clear that a variety of answers might be obtained when asking the simple question “what is it useful for?” Here I set out some of my answers to that question. Metadata &lt;em&gt; vs &lt;/em&gt; Data.
The Innate Hybridity of the Shamisen within Contemporary Music: The Physical, Musical, and Socio-Cultural

This chapter focuses on three case studies that explore the shamisen’s innate hybridity from three perspectives: physical, musical, and socio-cultural. For physical, the hybrid construction of the shamisen is explored through analyzing Takahashi Kumiko’s composition “Yojigen Zahyō” (Four Dimensions; 2019), which exploits the contrasting sounds of the shamisen’s three strings. For musical, the hybridity of shamisen musical genres is examined through analyzing Nakajima Katsusuke’s 1995 shamisen genre Sōsaku Kamigata-jōruri, which combines various musical and regional styles from the shamisen’s history and from the present. For socio-cultural, how the crossroads of culture, time, and place of shamisen performances can be observed in its various performance styles is highlighted, focusing on the surprising case study of Hanawa-bayashi, a shamisen festival genre from northern Japan. This chapter discusses hybridity’s role within the various performance methods of shamisen and its deeper meaning within today’s music.