Reviewerly/exHarmony huggingface dataset:
Comparison of the effectiveness of cepstral coefficients for Russian speech synthesis detection

Modern speech synthesis technologies can be used to deceive voice authentication systems, phone scams, or discredit public figures. An urgent task is to detect synthesized speech to protect against the threat of voice substitution attacks. The solution to this problem is based on the choice of cepstral coefficients that determine the quality of the cloned voice. In addition, the dataset used to train the neural network must match the language for which the synthesized speech will be detected. The paper discusses the most widely used cepstral coefficients and compares their effectiveness using two main types of neural networks. To train the network, the Russian speech dataset was developed, the use of which allows achieving the highest accuracy in determining speech synthesis in the case of deepfakes in Russian.
Follow OpenCitations on Mastodon

OpenCitations has happily joined the open-source social media platform joinmastodon.org. Mastodon is “a free and open-source software developed by a non-profit organization”, with the aim of favouring interoperability and bringing social media interaction “back in the hands of the people”. We look forward to recreating there our wide network of connections, and getting in touch with new people, projects and institutions in a different virtual environment. Follow us at https://scicomm.xyz/@opencitations !
A technical overview of OpenCitations Meta

&lt;em&gt;This blog post is the first of a series dedicated to the description and promotion of OpenCitations Meta. &lt;/em&gt; In addition to OpenCitations’ Citation Indexes, OpenCitations is pleased to announce a new service: &lt;strong&gt;OpenCitations Meta&lt;/strong&gt;, a database which stores and delivers &lt;em&gt;bibliographic&lt;/em&gt; metadata for all publications involved in the OpenCitations citation indexes.
Blockchain Technology for the Security of Smart Cities: Challenges, Solutions, and Future Trends

A "smart city" is one that combines its physical, social, business, and information technology infrastructure in order to enhance the city's intelligence through the use of technology. It ensures optimal utilisation of its resources, thus allowing for better and more efficient services for its users. With advancements in technologies such as IoT, cloud computing, ML and AI, smart cities are now able to provide far greater solutions, accommodate for a greater range of people and facilitate quicker interactions between residents and local authorities. However, problems with security still remain. This report will outline and analyse how blockchain technology is used for the security of smart cities; challenges that arise, solutions to them and what the future holds. Additionally, author perspectives will be provided so that readers can gain a better understanding and form their own opinions.
Relational Learning and Probabilistic Reasoning

Fully revised and updated, this third edition includes three new chapters on neural networks and deep learning including generative AI, causality, and the social, ethical and regulatory impacts of artificial intelligence. All parts have been updated with the methods that have been proven to work. The book's novel agent design space provides a coherent framework for learning, reasoning and decision making. Numerous realistic applications and examples facilitate student understanding. Every concept or algorithm is presented in pseudocode and open source AIPython code, enabling students to experiment with and build on the implementations. Five larger case studies are developed throughout the book and connect the design approaches to the applications. Each chapter now has a social impact section, enabling students to understand the impact of the various techniques as they learn them. An invaluable teaching package for undergraduate and graduate AI courses, this comprehensive textbook is accompanied by lecture slides, solutions, and code.
The Importance of Digital Technology in Learning from the Point of View of Faculty Members in Jordanian Universities

Objective: This research aimed to gauge the perceptions, competencies, and experiences of faculty members regarding the integration of digital technologies in higher education within Jordan. Methods: The sample encompassed 70 faculty members from Al Balqa Applied University, Al Hussein University, and Mut'ah University during the academic year 2021/2022.Utilizing a mix of qualitative and quantitative research tools, we captured insights into their attitudes, beliefs, and perceived barriers in implementing digital tools in the teaching-learning process.Results: While the provision of infrastructure and resources in the aforementioned universities was commendable, the efficacy of technology assimilation largely hinged on faculty attitudes and competencies.Variations in perceptions were evident based on academic backgrounds and teaching tenure.Additionally, faculty members expressed specific challenges, emphasizing the need for customized training and continual support mechanisms.Conclusion: The path to seamless digital integration in Jordanian higher education is intimately linked with faculty perspectives and proficiency.Tailored training and robust support mechanisms are essential to maximize the potential of digital tools and ensure a transformative educational experience for students.The role of faculty is paramount, and their insights and challenges provide a roadmap for further enhancements in this digital journey.
Cloud-Based Game Server Infrastructure AT PT. Games Karya Nusantara (Majamojo)

In the era of the game publishing industry, MAJAMOJO collaborates with game developers in developing game server infrastructure in Indonesia, by realizing the adoption of cloud computing using the Roadmap for Cloud Computing Adaption (ROCCA) method. Cloud computing implementation by following 5 stages of modification of the ROCCA adoption model, namely the analysis, design, adoption, migration, and management stages. By using Amazon Web Service (AWS) Cloud Service (CSP) services. Cloud computing adoption is carried out by developing game server infrastructure as connectivity between the client and the game server. The analysis is carried out by collecting data and interviews from speakers, in the design of the cloud computing technology to be used, the selection of the technology is based on the results of the analysis stage, then the adoption process prepares the cloud infrastructure to be built, based on software selection and setting up servers with recommended specifications, then migration is the core of the cloud computing adoption process, Where the process transfers the system from the physical server to the virtual server, new management will be executed if the adoption and migration process has been completed with the Game Server and Game Client connectivity indicators running normally. With the application of cloud computing based on the characteristics of the cloud itself, it is flexible, scalable, and safe to access over the internet.
Deficient Subject of Nonfinite Clause: With Reference to Transitive Resultative and ECM Construction in Korean

Transitive resultative predicates in Korean have nonfinite CP structures which contain a null pro. It is replaced as an overt inalienable possessum or partitive constituent, which is deficient in Satık’s(2022) term. The deficient pronoun must be picked over overt pronouns when there is a choice between the two in the subject position of the nonfinite clause. This is accordance with Cardinaletti and Starke’s(1999) economy constraint to minimize syntactic structures. This paper extends Lee’s(2023) argument that the deficient subject of transitive resultative predicates should be semantically connected to the higher accusative element to the ECM constructions. The inalienable possessum or partitive constituent in the deficient subject position of the nonfinite clause has a semantic relationship with the matrix accusative argument. The deficient subject may not be definite because it should be either a bare noun or null pro. This is why acceptability is deteriorated when the bare noun is modified by the demonstrative ku ‘the’. The current paper proves this phenomenon through a survey of speakers.
A Usage-based Analysis of Conditional If-clauses in Korean EFL Learners

This paper examines how Korean EFL learners use if-clauses based on the classification of if-clauses in Park (2021), which shows the use of if-clauses by English native speakers through the analysis of COCA corpus. 230 if-clauses in 286 college students’ English writings were analysed in terms of frequency of usages. The results show that Korean learners of English used ‘Weakened condition and/or result’ most frequently at 29.6%. ‘Strong condition and result’ as Type 1 (Future conditional) appeared in 25.7%. ‘Truth, habit, implicit inference about the present’ as ‘Zero conditionals’ was used in 20.4%. Considering that native speakers used ‘Zero conditionals’ most frequently at 32.7% in Park (2021), it is greatly required that ‘zero conditionals’ should be introduced in English grammar books published in South Korea. Also, explicit explanation of ‘Weakened condition and/or result’ is recommended when dealing with Type 1. For implicit acquisition of if-clauses, reading of various sentences including if-clauses will help students improve their understanding of usages of if-clauses.
Long-form Negation Questions in Korean and their Two Parses and Speech Acts

In this paper we investigate long-form negation questions in Korean, providing an analysis for their two parses and speech acts. Long-form negation questions can be construed as positively-biased or confirmational question tags as well as neutral negative questions. Kim (1981) and Chang (1984) argue that these constructions of the former use correspond to English confirmational or tag questions, but Chang (1986) argue that they correspond to English outer negation polar questions. In this paper we reinforce the former view and adopt Wiltschko’s (2021) so-called Interactional Spine Hypothesis to syntactically represent the Korean question tag construction at issue. Note that the Q-marker –ci or the homomorphic suffix –ci before the question tag an.h-ni serves as a trigger for presupposing a commitment from a speaker concerning the propositional content, we depart from Wiltschko (ibid.) to suggest that the Korean question tag construction at issue has the two recursive interactional spines, giving rise to two speech acts in the construal of this construction.
Open citations in Informatics: current status and lines of research

&lt;em&gt;This post was first published on &lt;/em&gt;&lt;em&gt;QWERTY: musings from the rabbit&lt;/em&gt; &lt;em&gt;hole&lt;/em&gt;, &lt;em&gt;a blog by Silvio Peroni&lt;/em&gt; A few months ago, I was invited to have a talk at the European Computer Science Symposium on an aspect of my research I particularly care about, that of open citations.
OpenCitations Access Tokens: how they work and why they are important

Since its inauguration in 2010, OpenCitations has always granted free access to its services to users throughout the world, with no requirement for registration or sign-up. Programmatic access to OpenCitations data can be obtained either via our SPARQL endpoints and our REST APIs.
THE BLENDED LEARNING: THE TENTH GRADERS’ PERCEPTION OF FACE-TO-FACE AND ONLINE EFL LESSON AT SMAN 4 TARAKAN

The objective of this research is to obtain perceptions from the tenth-grade students of SMAN 4 Tarakan which is undergoing blended learning. This study used a quantitative approach with a survey method. The subject of the research was 36 students of X-4 at SMAN 4 Tarakan. The data collected was a closed questioner using Likert scale. The results showed that more students admit that they are more motivated and perform better when taking EFL class that are conducted face-to-face. This is in line with the results of the study which showed that in terms of motivation, students were categorized as very motivated when doing face-to-face learning for the EFL class. In addition, students are also categorized as very good in terms of achievements when participating in EFL class which are conducted face-to-face. So it can be concluded that students prefer and need face-to-face learning more than online learning in English class.
Evaluating Player Experience for Fear Modeling of 2D East Java Horror Game Alas Tilas

Developing a 2D horror game and evaluating the reliability of the player experience are two things that are interrelated and equally important. Developers must ensure that the game can provide a satisfying and reliable gaming experience for their players. This study aims to evaluate the reliability of the player's experience in the game entitled Alas Tilas, East Java. This study used the User Experience Questionnaire (UEQ) in Indonesian as a survey approach method, which was given to 30 teenagers who at least played horror games once. UEQ may provide feedback to developers on the attractiveness, clarity, efficiency, accuracy, stimulation, and novelty aspects of the game. From the results of the UEQ, a reliability test will be carried out using the Cronbach Alpha technique. The results of the descriptive analysis show that these variables are Attractiveness (mean, 0.933), Clarity (mean, 1.808), Efficiency (mean, 1.508), Accuracy (mean, 0.217), Stimulation (mean, 0.667) and Novelty (mean, 0.242). Attractiveness, clarity, and efficiency averaged positive results. The average aspects of accuracy, stimulation, and novelty of the game get neutral results. The results of the reliability test conducted on UEQ data obtained a Cronbach alpha value &gt; 0.6 which indicates that the research data used to test the player experience are considered reliable so that they can be used to provide input for future development of the Alas Tilas game. To increase the average score, the researcher provides recommendations for improvement, namely, adjusting the accuracy and novelty aspects of the horror scenario game entitled Alas Tilas East Java. Therefore, it is expected to improve the quality of the game.
RL-based Freshness-aware Frame Mode Selection for Real-time Wireless Video Transmission

Nowadays, real-time wireless video transmission has become increasingly popular and important. However, the uncertainty of wireless channel often causes errors, leading to a loss of freshness in the video transmission. The state-of-the-art video transmission systems overcome this problem by transmitting I-frames periodically to ensure freshness. Unfortunately, I-frames occupy more channel resources, for they do not utilize the information from previous frames. On the other hand, another coding mode named P-frame can save channel resources, but it may cause loss in frame freshness. Therefore, there exists a tradeoff between freshness and channel resources. Most traditional optimization methods only consider bitrate and distortion. In this paper, we propose a novel optimization method that takes information freshness into account. The proposed method employs the Rate-Distortion-Freshness (RDF) function which combines traditional Rate-Distortion (RD) function and information freshness. We analyze using the RDF function for video transmission in multi-state erasure channels and adopting Q-learning to achieve online frame mode selection based on the RDF function. Simulations show that for real-time wireless video transmission, our proposed method reduces channel occupancy without decreasing the quality of video.
Energy-efficient nonvolatile switching of silicon microring resonator with suspended phase-change waveguide

We have proposed and designed a partially suspended silicon microring resonator (MRR) to improve the energy efficiency for inducing phase change of $\mathrm{S}\mathrm{b}_{2}\mathrm{S}\mathrm{e}3$. Only 10. $\mathrm{S}\mathrm{n}\mathrm{J}$ is required to amorphize the $\mathrm{S}\mathrm{b}_{2}\mathrm{S}\mathrm{e}3$, about half of that for a nonsuspended MRR.
Water law and municipal water in an era of technological development

Digitalization is not only disrupting existing business models but also impacting the management of natural resources, including water. Since technological developments in the water sector materialize more slowly at the international, regional and national levels, municipal water law has become the preferred forum for innovation. This development is due to the ongoing promotion of smart sustainable cities. This chapter concerns the early development of smart cities and smart urban water management, and it includes an analysis of the most common smart water technologies that are used in urban areas. Furthermore, it discusses the hitherto unaddressed challenges that smart cities face, focusing on salient issues such as security and privacy, water equity, and the financing of water-related investment.
The company and blockchain technology

Blockchain and distributed ledger technology (DLT) have generated much excitement over the past decade, with proclamations that they would disrupt everything from elections to finance. Unsurprisingly, the much-maligned corporate form is also considered ripe for disruption. While certainly imperfect, and currently serviced by creaking legal infrastructure premised upon direct shareholdings, are its problems ones of centralization/intermediation? What exactly are the limits of DLT? In this chapter, we propose to expose the ignorance behind the hype that the venerable corporation will either be revitalized by DLT or replaced by Decentralized Autonomous Organizations (DAOs). We will demonstrate that proponents of DLT disruption either overestimate the potential of the technology by taking at face value its claims of security without unpacking what said security entails (and what it does not) or lack awareness of the history of and market demand for intermediation as well as the complexities of modern corporations.
Efficient three-dimensional shape measurement: avoiding matrix inversion

Abstract The matrix inversion used to derive the 3D point cloud from the phase is a key factor that limits the reconstruction speed improvement in 3D imaging technique based on phase-shift fringe analysis. To avoid computing matrix inversion, we generate two offline loadable matrices determined solely by the calibration parameters of the triangulation model. Compared with the original method that requires matrix inversion, online computation was accelerated by about 15 times without incurring additional memory overhead. Experimental results demonstrated that the proposed method significantly improves the speed of 3D shape measurement and ensures high accuracy.
Calibration-free reconfigurable silicon optical signal processor

Reconfigurable silicon optical signal processors using interferometer meshes are essential in optical interconnection and optical computing systems. However, due to random phase errors in the tuning elements, most of the pervious demonstrations either require hundreds of self-configuration iterations or calibration of all the tuning elements. Here, we propose and demonstrate a calibration-free silicon optical signal processor based on 5$\times$ 5 interferometer mesh using low-phase-error Mach-Zehnder interferometer (MZI). The proposed processor can be tuned easily to achieve various functions, including multi-channel optical switch and matrix multiplications. Our work paves the way towards large-scale calibration-free silicon photonic MZI-based processors.
Live Demonstration: Integrating Event Based Hand Tracking Into TouchFree Interactions

Hand tracking is becoming ever more prominent as an intuitive way to interact with digital content. There are however technical challenges at the sensing level, these include environmental robustness, power and system latency to name three. Event cameras have the potential to solve these, with their asynchronous readout, low power and high dynamic range. To explore the potential of event cameras, Ultraleap have developed a prototype stereo camera using two Prophesee IMX636ES sensors. To go from event data to hand positions the event data is aggregated into event frames. This is then consumed by a hand tracking model which outputs 28 joint positions for each hand with respect to the camera. This data is used by Ultraleap’s TouchFree application to determine a users interaction with a 2D display. This is brought together in the Ball Pit demo shown in the supplementary material, where the user is using their hands to remove balls from a box.
Dangers and Opportunities of Technology: Perspectives from the Humanities (NEH)

Federal Grants & ContractsVolume 47, Issue 18 p. 2-2 Grant Alerts Dangers and Opportunities of Technology: Perspectives from the Humanities (NEH) First published: 14 August 2023 https://doi.org/10.1002/fgc.33191Read the full textAboutPDF ToolsRequest permissionExport citationAdd to favoritesTrack citation ShareShare Give accessShare full text accessShare full-text accessPlease review our Terms and Conditions of Use and check box below to share full-text version of article.I have read and accept the Wiley Online Library Terms and Conditions of UseShareable LinkUse the link below to share a full-text version of this article with your friends and colleagues. Learn more.Copy URL Share a linkShare onEmailFacebookTwitterLinkedInRedditWechat No abstract is available for this article. Volume47, Issue1817 August 2023Pages 2-2 RelatedInformation
Advanced intelligent health advice with informative summaries to facilitate treatment decision-making

Purpose Whether automatically generated summaries of health social media can assist users in appropriately managing their diseases and ensuring better communication with health professionals becomes an important issue. This paper aims to develop a novel deep learning-based summarization approach for obtaining the most informative summaries from online patient reviews accurately and effectively. Design/methodology/approach This paper proposes a framework to generate summaries that integrates a domain-specific pre-trained embedding model and a deep neural extractive summary approach by considering content features, text sentiment, review influence and readability features. Representative health-related summaries were identified, and user judgements were analysed. Findings Experimental results on the three real-world health forum data sets indicate that awarding sentences without incorporating all the adopted features leads to declining summarization performance. The proposed summarizer significantly outperformed the comparison baseline. User judgement through the questionnaire provides realistic and concrete evidence of crucial features that remarkably influence patient forum review summaries. Originality/value This study contributes to health analytics and management literature by exploring users’ expressions and opinions through the health deep learning summarization model. The research also developed an innovative mindset to design summarization weighting methods from user-created content on health topics.