Reviewerly/exHarmony huggingface dataset:
Pointing Performance Evaluation Experiment of Smartphone-based Operation Methods for Real-World Clicker

For the recent years, the authors have proposed an interface called Real-World Clicker (RWC) and have been developing a technology to intuitively indicate the position and posture of objects in everyday space to a support robot. Our RWC is a device in which a TOF-type laser distance sensor is mounted on a pan-tilt actuator and manually operated by a user with a PC mouse or a smartphone. In this paper, we reported pointing performance evaluation of smartphone-based operation methods. Specifically, four methods were compared; (A) PC mouse, (B) method that links the smartphone posture to the RWC posture, (C) 2-step tuning method with coarse and fine tuning, and (D) method that optimizes the fine tuning sensitivity based on the manipulability of a robot arm. Six pointing tasks were given to 5 subjects and their pointing performances were evaluated and analyzed using Throughput value. As a general result, we concluded that (D) was superior to (B) and (C) and comparable to (A).
A Method for Collision-free UAV Navigation around Moving Obstacles over an Uneven Terrain

This paper presents a novel 3D reactive navigation method for unmanned aerial vehicles (UAVs) in uneven terrain with unknown moving obstacles. The proposed method effectively reduces computational burden while ensuring safe and efficient UAV operations in complex environments. Through extensive simulations, the research demonstrates the efficacy of this approach. The findings lay a solid foundation for practical UAV applications in challenging 3D environments.
Parallel Repetition for the GHZ Game: Exponential Decay

We show that the value of the n-fold repeated GHZ game is at most $2^{-\Omega(n)}$, improving upon the polynomial bound established by Holmgren and Raz. Our result is established via a reduction to approximate subgroup type questions from additive combinatorics.
Efficient Algorithms for Semirandom Planted CSPs at the Refutation Threshold

We present an efficient algorithm to solve semirandom planted instances of any Boolean constraint satisfaction problem (CSP). The semirandom model is a hybrid between worst case and average case input models, where the input is generated by (1) choosing an arbitrary planted assignment $x^{*}$, (2) choosing an arbitrary clause structure, and (3) choosing literal negations for each clause from an arbitrary distribution “shifted by $x^{*}$” so that $x^{*}$ satisfies each constraint. For an n variable semirandom planted instance of a k-arity CSP, our algorithm runs in polynomial time and outputs an assignment that satisfies all but a $o(1)$-fraction of constraints, provided that the instance has at least $\tilde{O}\left(n^{k / 2}\right)$ constraints. This matches, up to ${\mathrm {polylog}} (n)$ factors, the clause threshold for algorithms that solve fully random planted CSPs [23], as well as algorithms that refute random and semirandom CSPs [1], [4]. Our result shows that despite having worst case clause structure, the randomness in the literal patterns makes semirandom planted CSPs significantly easier than worst case, where analogous results require $O\left(n^{k}\right)$ constraints [7], [26]. Perhaps surprisingly, our algorithm follows a significantly different conceptual framework when compared to the recent resolution of semirandom CSP refutation. This turns out to be inherent and, at a technical level, can be attributed to the need for relative spectral approximation of certain random matrices — reminiscent of the classical spectral sparsification — which ensures that an SDP can certify the uniqueness of the planted assignment. In contrast, in the refutation setting, it suffices to obtain a weaker guarantee of absolute upper bounds on the spectral norm of related matrices.
Discurso del odio como objeto de investigación en ciencias de la información y la documentación

TIn the context of an increasingly diverse society in which different identities and perspectives coexist, hate speech has also emerged and grew parallelly. This phenomenon, characterized by violent actions and expressions directed towards minorities, unprivileged groups as well as vulnerable collectives, is amplified by digital platforms and social media in particular. It poses significant challenges to a proper coexistence and human rights in our interconnected age. This article focuses on the study of hate speech in the field of Library and Information Science based on the research indexed by the Web of Science and the doctoral theses from the Ibero-American region for the period 2017-2022. We retrieved a total of 59 records that were analyzed using the software Pajek to visualize the network of scientific collaboration and the software VOSviewer to create networks of co-authorship and co-occurrence of topics. The results indicate an increase in publications on hate speech between 2017 and 2022, with a significant raise in 2021 and 2022. Spain, the United States, and Brazil stand out as the most productive countries on the topic, with universities such as Complutense University of Madrid in Spain and Federal University of Paraná in Brazil leading this research. The journal "Information Processing &amp; Management" served as a fundamental medium for disseminating scientific knowledge about hate speech. The social network analysis revealed that most researchers in the field work individually, although there is a trend towards more stable co-authorship teams in recent years, suggesting room for greater scientific collaboration given the interdisciplinary nature of the topic. The keyword co-occurrence analysis reflects an interdisciplinary perspective encompassing computer science, social sciences, communication, and journalism in the study of hate speech within Library and Information Science.
Exploring Network Security Educator Knowledge Authors

It is critical for nations to have trained professionals in network security who can safeguard hardware, information systems, and electronic data. Network security education is a key knowledge unit of the National Centers of Academic Excellence in Cybersecurity and various information systems security curricula at the master's and bachelor's levels in higher education. Network security units are components of computer science curricula in high school contexts as well. Educators who teach these concepts play a significant role in developing a skilled workforce of network security experts for both governmental and non-governmental organizations. Understanding the necessary knowledge and skills of network security educators serve to better inform institutes of higher education, educator preparation programs, and others who support educators in the field. This study describes knowledge constructs of a higher education faculty member who teaches networking and network security and was developing, and piloting innovative network security curriculum embedded in both undergraduate and graduate courses. Data were transcripts of recorded monthly meetings with the educator, fieldnotes taken during the meetings, and course artifacts. Existing teacher knowledge frameworks that have been applied in both K-12 and higher education contexts were used to deductively code the data. Examples of curricular knowledge and pedagogical content knowledge specific to the teaching of network security are provided. The affordances of using engagement within curriculum development to understand educator knowledge constructs and the existing teacher knowledge frameworks as tools for analyses are highlighted.
A Mixed-Method Study Exploring Cyber Ranges and Educator Motivation

A growing number of academic institutions have invested resources to integrate cyber ranges for applying and developing cybersecurity-related knowledge and skills. Cyber range developers and administrators provided much of what is known about cyber range resources and possible educational applications; however, the educator provides valuable understanding of the cyber range resources they use, how they use them, what they value, and what they do not value. This study provides the cyber range user perspective of cyber ranges in cybersecurity education by describing how K-12 educators are motivated using cyber ranges. Using mixed methods, this study explored educator motivation associated with cyber range usage through the lens of Eccles’ Situated Expectancy Value Theory. This research contributes to understanding how educators are motivated using academic cyber ranges for cybersecurity education. Overall, educators were motivated but professional development and preparation resources that do not assume any prior cybersecurity knowledge would contribute positively to their usage. Cybersecurity education stakeholders should continue to support cyber range integration to strengthen cybersecurity education programs and support educators' ability to become better cybersecurity educators.
Using Cascade in quantum key distribution

We point out a critical flaw in the analysis of quantum key distribution protocols that employ the two-way error-correction protocol Cascade. Specifically, this flaw stems from an incomplete consideration of all two-way communication that occurs during the Cascade protocol. We present a straightforward and elegant alternative approach that addresses this flaw and produces valid key rates. We exemplify our new approach by comparing its key rates with those generated using older, incorrect approaches, for qubit BB84 and decoy-state BB84 protocols. We show that, in many practically relevant situations, our rectified approach produces the same key rate as older, incorrect approaches. However, in other scenarios, our approach produces valid key rates that are lower, highlighting the importance of properly accounting for all two-way communication during Cascade.
Locally uniform random permutations with large increasing subsequences

We investigate the maximal size of an increasing subset among points randomly sampled from certain probability densities. Kerov and Vershik's celebrated result states that the largest increasing subset among \(N\) uniformly random points on \([0,1]^2\) has size asymptotically \(2\sqrt{N}\). More generally, the order \(\Theta(\sqrt{N})\) still holds if the sampling density is continuous. In this paper we exhibit two sufficient conditions on the density to obtain a growth rate equivalent to any given power of \(N\) greater than \(\sqrt{N}\), up to logarithmic factors. Our proofs use methods of slicing the unit square into appropriate grids, and investigating sampled points appearing in each box.Mathematics Subject Classifications: 60C05, 05A05Keywords: Random permutations, longest increasing subsequences, permutons
Integration is Success Model as an Evaluation Factor of Local Government Information Systems in Indonesia

The increasing development of information and communication technology has impacted changes in all fields including the government sector, marked by the implementation of new policies, namely Minister of Home Affairs Regulation Number 70 of 2019 concerning Regional Government Information Systems (SIPD). This research evaluates the success of implementing the Regional Government Information System (SIPD) application in the Metro City Regional Government through the IS Success Model. The Grand Theory used in this research is the Information Success Model. The variables in this research use the constructs of the IS Success Model, including information quality, system quality, service quality, and user satisfaction. The sampling technique in this research used Nonprobability Sampling which used Purposive Sampling with several respondent criteria so that a sample of 93 respondents was obtained. Data analysis in this study used SPSS version 26 with multiple line ar regression analysis testing. The research results show that system quality and service quality have a positive effect on SIPD user satisfaction, while information quality does not affect SIPD user satisfaction.
Сучасні теоретико-методологічні підходи до забезпечення інформаційної безпеки в бухгалтерському обліку

In the contemporary business landscape, information security is paramount, especially in accounting. This report delves into modern theoretical and methodological approaches shaping information security in accounting practices today. It emphasizes the significance of safeguarding financial information’s confidentiality, integrity, and availability. Key theoretical principles include confidentiality, integrity, availability, authentication, authorization, monitoring, audit, protection from threats and risks, information security strategy, and education. These principles form the basis for implementing robust security systems in accounting. As organizations increasingly integrate accounting and management systems, methodologies like data availability, security incident response, and monitoring become crucial. The education of staff on security procedures is vital. These contemporary approaches not only impact accounting practices but also enhance the overall quality of financial information, mitigating risks and unauthorized access
Recognize corrupted data packeted while transferring data through ensemble machine learning techniques

In today’s world, every technology is moving towards cloud storage which makes file transfer protocols a cornerstone for any platform to run smoothly. Therefore, identifying damaged files is a crucial responsibility in the area of data management and integrity. In this study, we suggest an AdaBoost-based machine learning technique for identifying damaged files. AdaBoost is an ensemble method that combines many weak classifiers into one powerful classifier. In our method, we train weak classifiers called decision stumps using a dataset that includes both damaged and healthy files. The final prediction was decided by a weighted majority vote of all the weak classifiers. We evaluated our method on a dataset generated by collecting metadata information of files and passed it to the algorithms. We used the AdaBoost approach as a base algorithm for comparison along with more established techniques like Naive Bayes, Logistic Regression, and Linear Discriminant Analysis. The results show that the AdaBoost algorithm is effective in detecting corrupted files, and it performs better than other traditional methods. Additionally, our method is computationally efficient and can be easily integrated into existing data management systems. It is expected to have a positive impact on data integrity and management in various fields such as digital forensics, cloud computing, and storage systems.
Enhancing visual question answering with a two‐way co‐attention mechanism and integrated multimodal features

Abstract In Visual question answering (VQA), a natural language answer is generated for a given image and a question related to that image. There is a significant growth in the VQA task by applying an efficient attention mechanism. However, current VQA models use region features or object features that are not adequate to improve the accuracy of generated answers. To deal with this issue, we have used a Two‐way Co‐Attention Mechanism (TCAM), which is capable enough to fuse different visual features (region, object, and concept) from diverse perspectives. These diverse features lead to different sets of answers, and also, there is an inherent relationship between these visual features. We have developed a powerful attention mechanism that uses these two critical aspects by using both bottom‐up and top‐down TCAM to extract discriminative feature information. We have proposed a Collective Feature Integration Module (CFIM) to combine multimodal attention features and thus capture the valuable information from these visual features by employing a TCAM. Further, we have formulated a Vertical CFIM for fusing the features belonging to the same class and a Horizontal CFIM for combining the features belonging to different types, thus balancing the influence of top‐down and bottom‐up co‐attention. The experiments are conducted on two significant datasets, VQA 1.0 and VQA 2.0. On VQA 1.0, the overall accuracy of our proposed method is 71.23 on the test‐dev set and 71.94 on the test‐std set. On VQA 2.0, the overall accuracy of our proposed method is 75.89 on the test‐dev set and 76.32 on the test‐std set. The above overall accuracy clearly reflecting the superiority of our proposed TCAM based approach over the existing methods.
Development of Argumentation Skills Test Instruments on Buffer Solutions in Daily Life

The purpose of this research is to develop a valid and reliable instrument for testing argumentation skills in buffer solutions in daily life. Argumentation skill test instruments are reviewed from theoretical validity (content and construct), empirical validity, and reliability. Development of argumentation skill test instruments using the ADDIE development model with stages: (1) analysis; (2) design; (3) development; (4) implementation; and (5) evaluation. This research was carried out until the initial implementation and then an evaluation was carried out. The argumentation skill test instrument that has been designed is then tested for theoretical validity through expert judgment involving three validators. The argumentation skill test instrument has criteria of theoretical validity if each statement has a mode ≥ 4 with valid categories. After being declared theoretically valid, argumentation skill test instruments are implemented to learners. The results of the argumentation skill test instrument are then analyzed to determine empirical validity and reliability. The results showed that the argumentation skill test instrument was declared theoretically valid where each statement had a mode of 5 with a very valid category. The test instrument is declared empirically valid where each question item has a consecutive calculated r value of 0.807; 0.879; 0.911; 0.911 is declared valid with r count &gt; r table (0.468). The reliability of the argumentation skill test instrument of 0.876 is declared reliable with a r count &gt; r table (0.468).
Applications of Augmented Reality and Virtual Reality

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Entanglement and Quantum teleportation in terms of Dirac modes observed by accelerated observers

In this paper, we have studied entanglement between two Dirac modes observed, respectively, by two independently accelerated observers. Due to Unruh effect, the entanglement degrades, but residual entanglement remains in the limit of infinite accelerations. We have also investigated quantum teleportation using entangled Dirac modes, and calculated the fidelities in various cases. In general, the fidelity depends on both the single-qubit state and the Bell state used in the teleportation.
Questioni di filologia dantesca

This essay offers some linguistic remarks on food-related words in Dante’s Comedy, with particular attention to variants in the manuscript tradition. This preliminary analysis is related to the research conducted within the Project PRIN AtLiTeG (Atlante della lingua e dei testi della cultura gastronomica italiana dall’età medievale all’Unità), which aims to provide the first Corpus, Vocabulary and Atlas of ancient and modern Italian food language.&#x0D; &#x0D;
Information and Communication Activities of Ukrainian Libraries in the Conditions of War

The purpose of the article is to comprehensively investigate the essence of information and communication activities of libraries in the conditions of the war between Russia and Ukraine and to determine the role of communication strategies in the implementation of their main tasks. The research methodology is based on systemic and value approaches, with the use of general scientific (analysis, synthesis, abstraction, generalisation, and others) and special methods determined by the multidisciplinary informational, communicative and socio-cultural research paradigm, which made it possible to comprehensively consider the specified problem and obtain appropriate results. The scientific novelty consists in understanding the general features of the library industry in the conditions of war. Conclusions. Library activity is one of the most important aspects of the functioning of the information and communication sphere of Ukraine, which intensified its activities during the war in order to improve the interaction between libraries and users. It has been proven that libraries in the information and communication space in wartime have undergone a process of transformation from a traditional environment to a social platform capable of resisting informational, cultural, and psychological influences of the enemy. It is noted that one of the effective strategic directions of its information and communication activities is the expansion of access to information for the audience of users both in Ukraine and abroad, and those who are in the occupied territory. Mass events aimed at supporting young people and pensioners are held; cooperation with volunteer and public organisations; work aimed at helping the Armed Forces of Ukraine and internally displaced persons; provision of information support; participation in charity events. It is emphasised that the information and communication activity of Ukrainian libraries in war conditions acquires special importance and functions on the principle of humanity, which is applied during armed conflicts and is closely related to related fields of international law reflected in national legislation. It is obvious that in wartime, libraries are almost the only social platforms for the promotion of education, legal education and upbringing in territorial communities. The war also activated new forms and methods of educational and explanatory work, the popularisation of library services that reflect the specific requests of users and meet the needs of the local population and the requirements of today. All this is an important indicator of the effectiveness and attractiveness of libraries as an informational and communicative multidisciplinary social platform in wartime conditions.&#x0D; Keywords: library, librarian, reader, information and communication activities of libraries, communication strategies, information and communication centre, library services, war.
SABPP: Privacy-Preserving Data Exchange in The Big Data Market Using The Smart Contract Approach

Background: The immense increase of data due to web services, social media, Health care data, and mobile data results in the massive quantity of organized and unorganized data known as big data, which is utilized by various data miners as it contains some sensitive information. Method: In this research, a privacy mechanism in the decentralized cloud through the smart contract approach is developed to ensure the privacy of the data and ensure a fair trading strategy. Findings: The comparative analysis is revealed in the proposed SABPP model, which shows that the responsiveness attained by the proposed SABPP method is found to be 26.9759sec, 85.2969sec, and 158.6968sec for 20, 60 and 100 nodes respectively. Novelty: In this research, the smart contract approach named SABPP is proposed that ensures the smart agreement trading in the Blockchain and overcomes the privacy challenge associated with the trusted third party thereby, ensuring the data availability for the data consumer and privacy for the data provider. Keywords: Blockchain, smart contract, privacy preservation, authentication, access control, data trading strategy