Reviewerly/exHarmony huggingface dataset:
The Students’ Perception towards the Use of Icebreakers, Warmers, and Energizers in EFL Classrooms: A Tertiary Study

This study examines first-year students’ perceptions in the English Language Teaching Department at Tishk International University regarding using icebreakers, warmers, and energizers in the classroom. The research aims to assess the effectiveness of these activities in enhancing student engagement and participation, as well as their impact on the overall learning experience. The study contributes valuable insights into the practical applicability of these techniques in an educational setting. Additionally, the positive perceptions of the students underscore the potential of these activities in establishing a favorable and comfortable learning environment. Data were collected through surveys and interviews, employing both quantitative and qualitative methods. For the quantitative aspect, 32 participants (10 males &amp; 22 females) were surveyed, while the qualitative segment involved interviews with 10 students (five males &amp; five females) at Tishk International University. The study’s results indicate that the overwhelming majority of students hold a positive perception of the use of these activities. They view them as beneficial for creating a relaxed and comfortable learning atmosphere, fostering interaction and collaboration among classmates, and boosting motivation and interest in the language. The study suggests that incorporating these activities into EFL classrooms can significantly enhance the overall student learning experience and contribute to a more dynamic and interactive classroom environment. The findings are consistent with existing literature in the field.
Algebraic Attacks on RAIN and AIM Using Equivalent Representations

Designing novel symmetric-key primitives for advanced protocols like secure multiparty computation (MPC), fully homomorphic encryption (FHE) and zero-knowledge proof systems (ZK), has been an important research topic in recent years. Many such existing primitives adopt quite different design strategies from conventional block ciphers. Notable features include that many of these ciphers are defined over a large finite field, and that a power map is commonly used to construct the nonlinear component due to its efficiency in these applications as well as its strong resistance against the differential and linear cryptanalysis. In this paper, we target the MPC-friendly ciphers AIM and RAIN used for the post-quantum signature schemes AIMer (CCS 2023 and NIST PQC Round 1 Additional Signatures) and Rainier (CCS 2022), respectively. Specifically, we can find equivalent representations of 2-round RAIN and full-round AIM, respectively, which make them vulnerable to either the polynomial method, or the crossbred algorithm, or the fast exhaustive search attack. Consequently, we can break 2-round RAIN with the 128/192/256-bit key in only 2111/2170/2225 bit operations. For full-round AIM with the 128/192/256-bit key, we could break them in 2136.2/2200.7/2265 bit operations, which are equivalent to about 2115/2178/2241 calls of the underlying primitives. In particular, our analysis indicates that AIM does not reach the required security levels by the NIST competition.
Integrated wellsite biostratigraphy and chemostratigraphy: A multidisciplinary approach for drilling the Wilcox

This study proposes an integrated multidisciplinary workflow for the correlation of wells within the Gulf of Mexico. Integrating wellsite biostratigraphy and chemostratigraphy. Wells previously analysed for biostratigraphy have been subjected to elemental analysis by Inductively Coupled Plasma - Optical Emission Spectrometer (ICP-OES) and Inductively Coupled Plasma - Mass Spectrometer (ICP-MS) analysis, as well as x-ray fluorescence (XRF) in a simulated wellsite situation. The newly implemented workflow in this study exhibits a robust correlation between biostratigraphy and chemostratigraphy, leading to a more confident identification of major intra Wilcox surfaces.
Generalised Hyperbolic State-space Models for Inference in Dynamic Systems

In this work we study linear vector stochastic differential equation (SDE) models driven by the generalised hyperbolic (GH) Lévy process for inference in continuous-time non-Gaussian filtering problems. The GH family of stochastic processes offers a flexible framework for modelling of non-Gaussian, heavy-tailed characteristics and includes the normal inverse-Gaussian, variance-gamma and Student-t processes as special cases. We present continuous-time simulation methods for the solution of vector SDE models driven by GH processes and novel inference methodologies using a variant of sequential Markov chain Monte Carlo (MCMC). As an example a particular formulation of Langevin dynamics is studied within this framework. The model is applied to both a synthetically generated data set and a real-world financial series to demonstrate its capabilities.
Entanglement purification of hypergraph states

Entanglement purification describes a primitive in quantum information processing, where several copies of noisy quantum states are distilled into a few copies of nearly pure states of high quality via local operations and classical communication. Especially in the multiparticle case, the task of entanglement purification is complicated, as many inequivalent forms of pure state entanglement exist and purification protocols need to be tailored for different target states. In this paper we present optimized protocols for the purification of hypergraph states, which form a family of multiqubit states that are relevant from several perspectives. We start by reformulating an existing purification protocol in a graphical language. This allows for systematical optimization and we present improvements in three directions. First, one can optimize the sequences of the protocol with respect to the ordering of the parties. Second, one can use adaptive schemes, where the measurement results obtained within the protocol are used to modify the protocols. Finally, one can improve the protocol with respect to the efficiency, requiring fewer copies of noisy states to reach a certain target state.
Exploring prospects of blockchain and fintech: using SLR approach

Purpose This study aims to give a glimpse of the existing blockchain applications across industries and add to a complete knowledge of the blockchain’s properties. Design/methodology/approach Systematic literature review is used as the research strategy for this investigation and other aspects of the preferred reporting items for systematic reviews and meta-analyses framework have been incorporated to create a scholarly publications evaluation of the blockchain-based application in the financial arena and its future. The research looks at 86 studies published between 2018 and 2022. Findings There has been a steady but noticeable increase in the study of blockchain’s potential in many application domains over the past few of years. This rising tendency illustrates the newness and potential of blockchain technology, as well as the increasing attention from academics. According to the findings, blockchain is an appropriate solution for processing transactions using cryptocurrencies; nevertheless, it still has significant technical issues and limits that require to be exploring and solving before it can be considered a viable option. It is therefore, necessary to have a high level of reliability for payments and confidentiality, in addition to maintaining the anonymity of nodes, to stop assaults and efforts to disrupt transactions in the blockchain. Practical implications This study has several important theoretical and practical implications. First, it adds to the body of knowledge on blockchain and Fintech, focusing on the transaction side. While much blockchain research has focused on how the technology may affect strategic choices, this study has shed light on its potential from the perspective of financial reporting. Second, by highlighting the importance of the demand for the prompt identification of losses, this work adds to the body of knowledge on the factors that influence transaction frauds involving paper money. Additionally, by establishing the link between transparency and virtual transactions, the author backs up the asymmetric responses of investors to different investment possibilities. It looks at the evolution of financial technology (Fintech) and shows how it can be used to take the advantage of unique opportunities. Originality/value The study is different and novel from the previously published literature on this topic mainly because of its comprehensiveness, as it revolves around all industrial and commercial areas. The three main lines of research have been outlined, namely, classifying the many blockchain-based innovations that will alter the financial landscape in many industries; identifying whether these industries are a good fit for blockchain’s wealth creation potential; and directing researchers by outlining prospective study pathways.
Analysis of Reform Strategies of Physical Education Teaching in Vocational Colleges under the Perspective of Quality Education

This study aims to explore the significance of physical education in higher vocational colleges from the perspective of quality education by summarizing the profound connotation of important speeches on quality education, school physical education and vocational education, and provide clues for the reform of physical education in higher vocational colleges in the new era. The research method of this paper adopts the methods of literature, expert interview, mathematical statistics, logical reasoning and theoretical deduction to sort out and analyze the important instructions and speeches of the General Secretary on the development of school physical education since the 18th National Congress. The general Secretary's important speech is the ideological guidance of the reform of physical education in higher vocational colleges; "Football dream" and "health dream" are the bridge and starting point to implement quality education in physical education in higher vocational colleges. The important speech of school sports is an important part of the thought of socialism with Chinese characteristics in the new era, and the development of school sports in the new era should follow the overall layout of governance. Firstly, the relationship between "education in sports" and "education in sports" is clarified. Secondly, the concept of adolescent health and school sports should be standardized. Then reform the integration of sports teaching content and events represented by "school football"; Then establish the school physical education curriculum system combining physical education and medicine; Finally, the school sports project combining sports and medicine was established.
ACF-Net: Asymmetric Cascade Fusion for 3D Detection With LiDAR Point Clouds and Images

The recognition and utilization of complementary information arising from modality-intrinsic properties play crucial roles in multimodal 3D detection. However, most of the current approaches for fusion-based 3D detection follow symmetrical fusion paradigms and adopt early fusion, middle fusion as well as late fusion styles, which ignore the unequal status of data with different modalities. In this paper, according to the timing of fusion, we adopt an asymmetric cascade fusion network to exploit both the structural information from point clouds and the complementary semantic information from images. A multi-stage cascade design of 3D object detection is proposed to iteratively refine predictions and several late image features (comprised of detection clues, segmentation clues, and deep features from encoders) are incorporated into different stages of the LiDAR branch to maintain the integrity of image features and enable deep multimodal interactions. Besides, to mitigate the effects of the down-sampling of voxelized features and possible mismatching of multimodal data, we propose proxy-based cross-modality sampling to utilize the high-density point clouds coordinates and develop an image degeneration process to simulate the noise in cross-modality matching for robust training. Extensive experiments are conducted on KITTI and Waymo Open Dataset, which validate the effectiveness of the proposed method.
Privacy-Conflict Resolution for Integrating Personal- and Electronic Health Records in Blockchain-Based Systems

Despite the great potential for healthcare professionals, individuals, and researchers, integrating healthcare information from personal health records (PHR) and electronic health records (EHR) systems is complicated because of structural- and semantic heterogeneity and -privacy. Healthcare data is an emotional issue because of fear of privacy violations. Blockchain technology enables a patient's data privacy, transparency, and immutability in cross-organizational processes where a patient regulates access to his data and is aware of its usage. At the same time, blockchain technology creates new challenges for e-healthcare systems, such as data privacy, observability, and online enforceability. In this paper, we propose a design and formalization of a secure blockchain-based, and patient-centric system with a definition of PHR requirements, an ontology for privacy-conflict resolution- and management mechanisms that takes into account the emotional aspects related to sharing sensitive healthcare records. Throughout this paper, we illustrate our ideas with a running case about preventive- and personalized healthcare.
Role of Block-Chain in Health-Care Application

Because of the upgraded security and protection it gives, block chain innovation has been embraced in various ventures, including medical care. The ability to give members right and quick admittance to their wellbeing records is perhaps of the main asset in medical care frameworks. Because of block chain innovation's changelessness, decentralization, and security, the medical care industry might encounter change. Versatility, nonetheless, is a significant issue with block bind frameworks because of the record innovation and agreement methods used in those frameworks. Block chain sharding is a critical strategy for tending to the versatility issue in block organizations. Block-chain sharding addresses the versatility issues of block-chains by basically partitioning the organization into discrete gatherings, or shards, that execute exchanges in equal. In this paper, we give a decentralized and more versatile sharding worldview for overseeing medical care information. As per the review, a sharding philosophy based wellbeing application ought to be utilized, with patient solicitations used to make the shards. The suggested strategy can deal with a lot of medical services information while holding more noteworthy exchange speeds and further developed effectiveness, which recommends that it can possibly expand the versatility of blockchain-based wellbeing applications.
Exploiting Hardware Imperfections for GPS Spoofing Detection using Clock Variations

The security of location-dependent systems is jeopardized by the act of GPS spoofing, which involves the transmission of deceptive signals to receivers. The detection of such attacks poses a significant challenge in the absence of dedicated hardware or a comprehensive dataset for training purposes. In this study, we present an innovative approach for detecting spoofing attempts by examining distinct clock instability patterns exhibited by electronic devices as a result of manufacturing inconsistencies. The identification of spoofing signals originating from counterfeit GPS transmitters is achieved through fingerprinting timing characteristics. The proposed algorithm utilizes clock fingerprints to quantity temporal fluctuations. Spoofed signals are identified through discrepancies between the observed time measurements and the anticipated satellite characteristics. This solution offers a software-based method for detecting spoofing, eliminating the need for extra hardware or pre-existing data.The proposed technique is assessed in the context of various spoofing strategies, showcasing its ability to reliably detect even lowcost spoofs with unstable clocks. Our research enhances the capabilities of GPS anti-spoofing in comparison to previous studies by offering an implementation that is easily accessible and requires minimal assumptions. By capitalizing on hardware limitations instead of attempting to mitigate them, we transform fabrication variations into deceptive fingerprints. By exploiting inherent hardware limitations, the proposed spoofing detection approach only requires a standard receiver. The experimental results shows that the proposed technique can effectively detect the spoofing attack with 100% accuracy.
Land Suitability Mapping for Large-Scale Solar PV Farms in Tunisia Using GIS-Based MCDM Approach

Considering the multiple and conflicting factors involved in site selection, determining ideal locations is of the utmost importance before installing solar photovoltaic farms on a large scale. Relying on extensive data, particularly from the geographical information system (GIS), provides numerous advantages, including improved project performance, reduced power losses, and minimized environmental impact. Accordingly, this study primarily focuses on identifying the most suitable locations for developing large-scale solar PV farms in Tunisia using a GIS in combination with a Fuzzy analytical Hierarchy Process (FAHP). The proposed approach considers a variety of economically and technically relevant factors, which are ranked using the fuzzy AHP technique. According to the computed spatial analysis, the land suitability was classified into five categories: “most suitable”, “suitable”, “moderately suitable”, “least suitable”, and “unsuitable”. The findings revealed that the “most suitable” sites covered <tex xmlns:mml="http://www.w3.org/1998/Math/MathML" xmlns:xlink="http://www.w3.org/1999/xlink">$\mathbf{1571.7}\ \mathbf{km}^{\mathbf{2}}$</tex> , representing 1.11% of the total land area. These sites were mainly distributed across the central and southern regions of the country, namely Tataouine, Gabès, Gafsa, and Kassérine, which comprised 74.65% of those sites. Even if only 10 <sup xmlns:mml="http://www.w3.org/1998/Math/MathML" xmlns:xlink="http://www.w3.org/1999/xlink">%</sup> of the “most suitable” locations were considered, there could be a potential for electricity generation of 32,803 GWh per year, which is 1.65 times greater than the energy demand in Tunisia in 2021.
(Inner-Product) Functional Encryption with Updatable Ciphertexts

Abstract We propose a novel variant of functional encryption which supports ciphertext updates, dubbed ciphertext-updatable functional encryption. Such a feature further broadens the practical applicability of the functional encryption paradigm and allows for fine-grained access control even after a ciphertext is generated. Updating ciphertexts is carried out via so-called update tokens which a dedicated party can use to convert ciphertexts. However, allowing update tokens requires some care for the security definition. Our contribution is threefold: We define our new primitive with a security notion in the indistinguishability setting. Within CUFE, functional decryption keys and ciphertexts are labeled with tags such that only if the tags of the decryption key and the ciphertext match, then decryption succeeds. Furthermore, we allow ciphertexts to switch their tags to any other tag via update tokens. Such tokens are generated by the holder of the main secret key and can only be used in the desired direction. We present a generic construction of CUFE for any functionality as well as predicates different from equality testing on tags which relies on the existence of indistinguishability obfuscation (iO). We present a practical construction of CUFE for the inner-product functionality from standard assumptions (i.e., LWE) in the random-oracle model. On the technical level, we build on the recent functional encryption schemes with fine-grained access control and linear operations on encrypted data (Abdalla et al., AC’20) and introduce an additional ciphertext updatability feature. Proving security for such a construction turned out to be non-trivial, particularly when revealing keys for the updated challenge ciphertext is allowed. Overall, such construction enriches the set of known inner-product functional encryption schemes with the additional updatability feature of ciphertexts.
Innovation and Creativity in Hospitality Management

Purpose: This paper explored the role of innovation and creativity in hospitality management. The purpose was to examine how innovation and creativity can enhance customer experiences, operational efficiency, and financial performance in the hospitality industry. The objectives were to define innovation and creativity, identify different forms of innovation, discuss the drivers and barriers to innovation and creativity, examine the role of technology in enabling innovation and creativity, explore strategies for fostering innovation and creativity, and highlight potential future trends and challenges. The research questions addressed the significance of innovation and creativity, the impact of different forms of innovation, the factors influencing innovation and creativity, the role of technology, and strategies for fostering innovation and creativity.&#x0D; Materials and Methods: The methodology involved a literature review and analysis of existing research and case studies.&#x0D; Findings: The findings revealed that innovation and creativity play a crucial role in the success of hospitality organizations. Technological advancements, service design, and process improvements were identified as key forms of innovation. Leadership support, organizational culture, and resistance to change were found to be important drivers and barriers. Technology was recognized as a significant enabler, with emerging technologies like artificial intelligence and virtual reality offering new possibilities. Strategies for fostering innovation and creativity included collaboration, cross-functional teams, and continuous learning.&#x0D; Implications to Theory, Practice and Policy: The study recommended that hospitality organizations prioritize innovation and creativity, invest in technology, cultivate a supportive organizational culture, and promote collaboration and continuous learning to stay competitive in the industry.
Releasing Quantum Computing Products

In this chapter, we’ll discuss the knowledge and skills necessary to successfully release quantum-based products or features to customers and end users.
Mastering data visualization with Python: practical tips for researchers

Big data have revolutionized the way data are processed and used across all fields. In the past, research was primarily conducted with a focus on hypothesis confirmation using sample data. However, in the era of big data, this has shifted to gaining insights from the collected data. Visualizing vast amounts of data to derive insights is crucial. For instance, leveraging big data for visualization can help identify and predict characteristics and patterns related to various infectious diseases. When data are presented in a visual format, patterns within the data become clear, making it easier to comprehend and provide deeper insights. This study aimed to comprehensively discuss data visualization and the various techniques used in the process. It also sought to enable researchers to directly use Python programs for data visualization. By providing practical visualization exercises on GitHub, this study aimed to facilitate their application in research endeavors.