Reviewerly/exHarmony huggingface dataset:
Blockchain-Assisted Attribute-Based Ciphertext Ranked Search Scheme

With the advent of cloud computing and cloud storage, more people are uploading local data encryption to cloud server to save storage space. Searchable encryption techniques can search encrypted data without decrypting the data. Currently, attribute-based searchable encryption schemes are widely studied because they are more in line with practical needs, but most attribute-based searchable encryption schemes do not support ranked of search results and do not consider attribute revocation. In addition, cloud server are semi-trustworthy and may return incorrect results due to savings in computational overhead, and data users need to verify search results locally. To address the above issues, this paper proposes a blockchain-assisted attribute-based ciphertext ranked search scheme with revocation function. It combines searchable encryption with blockchain and uses smart contracts to verify the correctness of the results returned by the cloud server without local verification by users. The ciphertext are ranked using Term Frequency-Inverse Document Frequency (TF-IDF) technology. The security analysis shows that the scheme achieves the indistinguishability of keyword ciphertext and the indistinguishability of trapdoor, and the experimental analysis proves the effectiveness of the scheme.
Analysis and Design of Headless CMS and Graphql in Back-End Development

The application of the website in Village Government can also be useful for informing news or services the community. Therefore, here the author creates an information website for Pondoknongko Village Government. In Pondoknongko Village itself, it does not yet have an information website that is easy to access by admins and users. Indeed, there is already a built-in website from the government, but the admin is still having a hard time adapting and accessing it. There were many deficiencies in the previous website, such as the difficulty of accessing data, and adding and editing data. Therefore, the solution to overcome this problem is to create a website that uses Strapi as a database manager so that it is easy for the admin to manage the data that will be loaded on the information website. The author uses Strapi as a data manager and Graphql as a liaison between the Back end and Front End. This research is also based on a review of the information system used by Pondoknongko Village, the website created has been successfully developed and put to good use by Pondoknongko Village and the community.
Performance Analysis of Tree-Based Algorithms in Predicting Employee Attrition

Based on data throughout 2022, there have been many reductions in employees both globally and Indonesia. The reduction was made due to adjustments with developments to keep the business afloat in increasingly fierce competition. However, reducing the number of employees is not an easy decision to make. This decision can have an impact on many aspects of the development and course of a business or company. To make a decision especially related to the aspect of termination of employment, it is necessary to consider carefully and thoroughly. Assessment and decision-making cannot be based on just one aspect, other aspects need to be seen to be taken into consideration. Additional aspects that can be selected to strengthen decision-making can be taken from the data. Data will not have any value without processing it with various approaches, one of which is the prediction process. Starting from the data, the prediction results will be more appropriate to make a decision. This study made a comparison of 3 decision tree algorithms, and produced a comparison of the three methods in terms of accuracy. The results of this study are the best accuracy for each algorithm C.45 = 83.44; Random Forests = 85.85; LMT = 88.29 with a linear precision value, and the best algorithm model with the highest accuracy is the Logistic Model Tree (LMT) algorithm.
Foreword

prefatory Share on ForewordLinking the World’s Information: Essays on Tim Berners-Lee’s Invention of the World Wide WebSeptember 2023Pages xix–xxhttps://doi.org/10.1145/3591366.3591367Published:05 September 2023Publication History 0citation0DownloadsMetricsTotal Citations0Total Downloads0Last 12 Months0Last 6 weeks0 Get Citation AlertsNew Citation Alert added!This alert has been successfully added and will be sent to:You will be notified whenever a record that you have chosen has been cited.To manage your alert preferences, click on the button below.Manage my AlertsNew Citation Alert!Please log in to your account Save to BinderSave to BinderCreate a New BinderNameCancelCreateExport CitationPublisher SiteGet Access
Contributors’ Biographies/Index

index Share on Contributors’ Biographies/IndexLinking the World’s Information: Essays on Tim Berners-Lee’s Invention of the World Wide WebSeptember 2023Pages 241–258https://doi.org/10.1145/3591366.3591387Published:05 September 2023Publication History 0citation0DownloadsMetricsTotal Citations0Total Downloads0Last 12 Months0Last 6 weeks0 Get Citation AlertsNew Citation Alert added!This alert has been successfully added and will be sent to:You will be notified whenever a record that you have chosen has been cited.To manage your alert preferences, click on the button below.Manage my AlertsNew Citation Alert!Please log in to your account Save to BinderSave to BinderCreate a New BinderNameCancelCreateExport CitationPublisher SiteGet Access
Acknowledgments

prefatory Share on AcknowledgmentsLinking the World’s Information: Essays on Tim Berners-Lee’s Invention of the World Wide WebSeptember 2023Pages xxix–xxxhttps://doi.org/10.1145/3591366.3591370Published:05 September 2023Publication History 0citation0DownloadsMetricsTotal Citations0Total Downloads0Last 12 Months0Last 6 weeks0 Get Citation AlertsNew Citation Alert added!This alert has been successfully added and will be sent to:You will be notified whenever a record that you have chosen has been cited.To manage your alert preferences, click on the button below.Manage my AlertsNew Citation Alert!Please log in to your account Save to BinderSave to BinderCreate a New BinderNameCancelCreateExport CitationPublisher SiteGet Access
Exploring Directive Speech Acts in Elementary School Communication in Kolaka: Language Pedagogy Implications

This sociopragmatics study aims to investigate the various types of directive speech acts and the markers of local wisdom in the communication of elementary students in Kolaka. The research design employed is qualitative descriptive, chosen for its ability to describe the types of directive speech acts and the manifestation of local wisdom within the context of elementary school students. The participants in this study consisted of elementary school students from Kolaka Regency. Data were collected through non-participant observation, and the analysis followed qualitative data procedures based on the interactive model developed by Miles and Huberman, which involved data reduction, data presentation, and drawing conclusions. The findings revealed four types of directive speech acts commonly used by elementary school students: demanding, commanding, begging, and challenging. These directive speech acts were found to be influenced by the cultural context, specifically manifested through the use of clitics. The clitics -ko, -mi, -ka, -hae, and -na were identified as significant markers of the local wisdom in the communication of elementary students, observed in utterances such as lihatko, ayomi, pindahko, biarmi, siniko, and jemputna. These clitics not only serve as markers of cultural identity but also indicate different levels of politeness in communication. Further implications for language teaching practices are also discussed.
Linking aspects of human capital management, employee engagement, perceived organizational support, and selfreported employee job performance

Purpose. The primary intangible asset of firms and the main factor determining the ircompetitive advantage has emerged as human capital. This paper examined the effect of the selected aspects of human capital management on self-reported employee job performance and the mediating role of employee engagement. Likewise, this study tested the moderation role of perceived organizational support on the human capital management with self-reported employee performance link. Method. This paper is structured on a quantitative approach, with stratified and simple random sampling techniques. The research model analysis method applies structural equation modeling with AMOS to test the hypothesized relationships. Findings. The aspects of human capital management were positively related to self-reported employee job performance. Moreover, employee engagement partially mediates the relationship, and perceived organizational support positively moderates the association between knowledge accessibility, learning capacity, leadership practice, career advancement, and selfreported employee job performance. Conversely, it has an in significant moderation between workforce optimization and employee job performance, optimization and self-reported employee job performance. Implications for practice. This paper has an implication for policy makers, organizational managers, investors in general, and the banking sector in particular in their effort towards creating strategies for matching human capital management strategies, employee engagement, perceived organizational support, and self-reported employee job performance. Thus, aspects of human capital management are the determinant factors of employee engagement and self-reported employee job performance. Moreover, the perception of employees towards organizational support contributes to the relationship.
Strategies for Cultivating Creative Thinking Ability of Students Majoring in Educational Technology

Creative thinking ability refers to the ability of individuals to produce unique, novel and valuable thoughts and ideas when solving problems, creating new knowledge and coping with challenges. In today's information explosion and rapid change of society, creative thinking ability is particularly important for the development of college undergraduates. However, the traditional education model and evaluation system usually lay emphasis on knowledge transfer and memory, ignoring the necessity of cultivating students' creative thinking. Therefore, this paper aims to explore effective training strategies to promote the all-round development of creative thinking ability of college undergraduates.
Multi-features combinatorial optimization for keyframe extraction

&lt;abstract&gt;&lt;p&gt;Recent advancements in network and multimedia technologies have facilitated the distribution and sharing of digital videos over the Internet. These long videos contain very complex contents. Additionally, it is very challenging to use as few frames as possible to cover the video contents without missing too much information. There are at least two ways to describe these complex videos contents with minimal frames: the keyframes extracted from the video or the video summary. The former lays stress on covering the whole video contents as much as possible. The latter emphasizes covering the video contents of interest. As a consequence, keyframes are widely used in many areas such as video segmentation and object tracking. In this paper, we propose a keyframe extraction method based on multiple features via a novel combinatorial optimization algorithm. The key frame extraction is modeled as a combinatorial optimization problem. A fast dynamic programming algorithm based on a forward non-overlapping transfer matrix in polynomial time and a 0-1 integer linear programming algorithm based on an overlapping matrix is proposed to solve our maximization problem. In order to quantitatively evaluate our approach, a long video dataset named 'Animal world' is self-constructed, and the segmentation evaluation criterions are introduced. A good result is achieved on 'Animal world' dataset and a public available Keyframe-Sydney KFSYD dataset &lt;sup&gt;[&lt;xref ref-type="bibr" rid="b1"&gt;1&lt;/xref&gt;]&lt;/sup&gt;.&lt;/p&gt;&lt;/abstract&gt;
Table Relationships and Joins

A database is not just one table. Well, it can be of course, but any sophisticated database, such as one which you would use to manage an online bookshop, will comprise a number of tables, each handling a different collection of data.
Evaluating the Generalization Ability of Super-Resolution Networks

Performance and generalization ability are two important aspects to evaluate the deep learning models. However, research on the generalization ability of Super-Resolution (SR) networks is currently absent. Assessing the generalization ability of deep models not only helps us to understand their intrinsic mechanisms, but also allows us to quantitatively measure their applicability boundaries, which is important for unrestricted real-world applications. To this end, we make the first attempt to propose a Generalization Assessment Index for SR networks, namely SRGA. SRGA exploits the statistical characteristics of the internal features of deep networks to measure the generalization ability. Specially, it is a non-parametric and non-learning metric. To better validate our method, we collect a patch-based image evaluation set (PIES) that includes both synthetic and real-world images, covering a wide range of degradations. With SRGA and PIES dataset, we benchmark existing SR models on the generalization ability. This work provides insights and tools for future research on model generalization in low-level vision.
A Telecom Infrastructure Compatible Quantum Link Using NV-centers

We show the latest progress towards establishing a solid-state, metropolitan quantum link, consisting of two remote Nitrogen Vacancy (NV)-centers and a central measurement station. The entanglement is generated by converting single emitted photons to the same frequency in the telecom L-band, guiding them to a central beamsplitter, where a joint Bell-state measurement projects the NV-centre spins in an entangled state.
Enhancing quantum network security with quantum dot single-photon sources

Quantum dots, additionally to their high brightness and single-photon purity, provide unique security benefits thanks to the tunability of coherence in the emitted photon-number states. We identify the optimal quantum-dot pumping schemes for quantum-cryptographic primitives.
Performing Capture in Video Games and New Acting Practice in the Post-Digital Era

Motion capture technology for creating an animated image of an artist is becoming increasingly widespread in animation, cinema, and computer games. The motion capture methodology allows translating the acting into different virtual worlds and implementing creative data such as plasticity, voice, drama, in completely unexpected forms, which expand the boundaries of traditional artistic anthropology and the psychology of art. The most multilevel and multi-variant form of motion capture, performing capture, can reflect the plasticity of the artist in the finest details. This article raises the question of the need to study new aspects of the methodology of acting creativity. This question arises in the process of creating images of computer games, against the background of scientific understanding of various forms of motion capture technology and their modeling in the digital environment. The ways the artist exists during the implementation of scenarios of high-budget computer game projects are characterized by multivariance in the development of the image when setting the most important tasks in a situation of multiplicity of game strategies, by an expansion of understanding the original event, and by the dynamics of the role pattern. The interactive nature of gaming projects requires an understanding of the categories of actor existence in the synthesis of classical (Stanislavsky system) and post-dramatic theatrical approaches.
Controllable and Scalable Quantum States in Fiber Loop Systems

Quantum walks provide a platform for quantum measurements, simulations, and universal computations. Here we have experimentally demonstrated a potentially scalable, dynamically reconfigurable quantum walk processor using a temporal photonic lattice based on a coupled fiber loop system.
Development of a High-Purity Quantum Random Number Generator Based on Bose-Einstein Statistics

We present a 200 Mbps quantum random number generator based on Bose-Einstein statistics, where 98.7 % of the min-entropy is traceable to the quantum signal. The bit stream is then shown to pass numerous statistical tests.
Pedagogical Strategies for Fostering Digital Literacy and Online Research Skills in Higher Education

For higher education students to successfully traverse the modern digital landscape and the world's growing interconnectedness, they must be proficient in digital literacy and online research techniques. The current state of these talents among college students is investigated quantitatively in this study. An examination into undergraduate and graduate students' perceived skills, demographic differences, and the congruence between self-assessment and real competences was conducted with the use of an online survey that included a broad cohort of students from different academic fields. The results highlight a disconnect between students' confidence in their ability to conduct internet research and their actual skills. The need for focused therapies that improve self-awareness and metacognition is highlighted by this incongruity. The survey finds fascinating demographic trends that show that there aren't many differences in digital literacy skills between men and women. On the other hand, differences in skill levels between academic majors imply that settings unique to a certain subject have an impact on digital aptitude. Both continuities and variations are shown by comparing these findings to earlier studies. Contrary to previous trends, there aren't any obvious gender-based discrepancies, which suggests that these divisions may become less evident in the area of digital literacy. Additionally, the gap in abilities between academic majors confirms previous research, emphasizing the importance of disciplinary specifics in defining digital competences. The findings of this study have significant ramifications for the higher education system. In order to effectively teach these abilities, institutions are encouraged to seamlessly integrate digital literacy education into their curricula by utilizing cutting-edge pedagogies and technology.
Effect of a multi-media educational bag in learning some basic offensive skills with foil for students

Importance of research is evident through statement of role of learning in educational bag multi -means offensive of self-education. research problem has emerged that level of learning in attacking skill performance does not rise to level of ambition and does not progress at level during learning period, and this is what made researcher disclosure by exploring opinion of experts and specialists and through viewing to learn se skills at university educational level influence of multi-media educational bag some of for students. Research sample was Basrah so multi-media educational bag has importance in teaching some of basic offensive skills in foil weapon for students. Recommendations were: adopting multi - media educational bag because of its importance in of basic offensive skills with a foil weapon for students.
Comparing The Readability Level of Biology Exams Texts in Malta

Proceedings of The 6th International Academic Conference on Teaching, Learning and Education Year: 2023 DOI: https://www.doi.org/10.33422/6th.tleconf.2023.06.102 [PDF] Comparing The Readability Level of Biology Exams Texts in Malta Marthese Azzopardi, Carmel Azzopardi ABSTRACT: We used a quantitative approach to evaluate the readability level of comprehension test passages in high-stakes, advanced-level biology exams in Malta. We studied 37 passages from a public institution and 54 from national exams from the years 1996 to 2022. Using an online computational tool called Coh-Metrix we calculated three readability formulas, Flesch Reading Ease, Flesch-Kincaid Grade Level, and Coh-Metrix L2 Reading Index. All three indices indicated that all texts were “difficult” and understood by English-speaking undergraduates; however, for Maltese students, English is a second language (L2). We computed ANOVA to analyse differences in readability indices in the two high-stakes exams. The results revealed no significant difference in the readability of the texts, implying that the institution exposes students to the same level of difficulty as the national average. The Pearson correlation coefficient revealed that both exams maintained the same degree of readability throughout the study period. We found that the average word count and sentence length were significantly shorter in the public institution exams. Lexical diversity is an important indicator of how complex and difficult a text is to read. It measures how many different words occur in the text. The two indices of lexical diversity used showed that the texts of the institution were less complicated and difficult to read. Thus, in a way, paper setters at the institution attempt to match difficulty to the students’ level, keeping in mind that they have been learning the subject for one year. This study benefits paper-setters by allowing them to evaluate and match the readability of the comprehension test passages with 17- to 18-year-old L2 students. keywords: Coh-Metrix; corpus; L2 Reading Index; lexical diversity; high-stakes exams
FAIR Research Objects for realising Open Science with the EOSC project RELIANCE

The numerous benefits of Open Science (OS) and of the four FAIR foundational principles - Findable, Accessible, Interoperable and Reusable - are increasingly valued in academia, although what OS and FAIR entail is still largely misunderstood. In such conditions, putting into practice OS and applying the FAIR principles is challenging and underrated. However, realising OS is perfectly within our grasp provided that an infrastructure supporting the management of the research lifecycle is available. ROHub (https://www.rohub.org/) is a Research Object (RO) management platform implementing three complementary technologies: Research Objects, Data Cubes and Text Mining services. ROHub enables researchers to collaboratively manage, share and preserve their research while they are still working on it (rather than after the work is finished). In this paper, three communities from Earth Sciences, namely Geohazards, Sea Monitoring and Climate Change, demonstrate how ROHub helped them to understand each other and to work openly and, more importantly, how communities of practice play an important role in facilitating reuse and interdisciplinary collaboration. These findings are illustrated with several use cases from these various communities.
The early elementary grammar toolkit: using mentor texts to teach grammar and writing in grades K-2

Click to increase image sizeClick to decrease image size AcknowledgementsThe authors would like to express their deepest gratitude to Lembaga Pengelola Dana Pendidikan (LPDP) for supporting this article’s publication.