Reviewerly/exHarmony huggingface dataset:
Translation of Spanish Text to Mexican Sign Language Glossed Text Using Rules and Deep Learning

People with hearing disabilities face various communication problems in their environment, both social, workplace, and educational. The World Health Organization reports that more than 360 million people worldwide suffer from hearing problems. The number of certified Mexican Sign Language (MSL) interpreters is low, with approximately 40 in Mexico, which has the consequence of not having access to higher education in this community. This article presents an architecture to translate from Spanish to MSL glossed text. This translation architecture obtained results through various models evaluated with the BLEU, WER, and accuracy metrics, confirming the viability with traditional and computational learning models for sign language translation. Translation with traditional techniques was found to perform better than deep learning. In addition, it was possible to build a corpus of ten sentences written in gloss, validated by a member of the deaf community of MSL.
Studi Kebijakan Seleksi Koleksi di Perpustakaan Universitas Tarumanagara

Collection development is very important for libraries as information managers. One of the most decisive stages is collection selection to ensure collection materials are in accordance with the needs and objectives of the library. Collection materials are used to support academic activities, both teaching and research. Collection materials determine the quality of the library because it is able to meet the needs of users. A good library guarantees the advancement of an institution, including the university. This paper analyzes the collection selection policy at the Tarumanagara University Library. The method used is descriptive analysis to get a specific picture based on the data. The results of the study indicate that there is a collection selection policy that is contained in a written collection development policy and has been implemented in accordance with the guidelines made.
A new kind of mixed character sums and their applications

&lt;p&gt;In this paper, as a generalization the famous Gaussian sums, we introduce a new kind of mixed character sums and their applications in the constructions of Mutually unbiased bases (MUBs) and signal sets. It is well-known that MUBs have significant applications in quantum information processing and other fields. However, only a few constructions of MUBs are known in the literature. In this note, we provide a recursive constructions of approximately mutually unbiased bases. Meanwhile, we present some constructions of asymptotically optimal signal sets by using the mixed character sums.&lt;/p&gt;
Multi-task Learning Approach for Modulation and Wireless Signal Classification for 5G and Beyond: Edge Deployment via Model Compression

&lt;p&gt;Future communication networks must address the scarce spectrum to accommodate extensive growth of heterogeneous wireless devices. Efforts are underway to address spectrum coexistence, enhance spectrum awareness, and bolster authentication schemes. Wireless signal recognition is becoming increasingly more significant for spectrum monitoring, spectrum management, secure communications, among others. Consequently, &lt;em&gt;comprehensive spectrum awareness on the edge&lt;/em&gt; has the potential to serve as a key enabler for the emerging beyond 5G (fifth generation) networks. State-of-the-art studies in this domain have (i) only focused on a single task - modulation or signal (protocol) classification - which in many cases is insufficient information for a system to act on, (ii) consider either radar or communication waveforms (homogeneous waveform category), and (iii) does not address edge deployment during neural network design phase. In this work, for the first time in the wireless communication domain, we exploit the potential of deep neural networks based multi-task learning (MTL) framework to simultaneously learn modulation and signal classification tasks while considering heterogeneous wireless signals such as radar and communication waveforms in the electromagnetic spectrum. The proposed MTL architecture benefits from the mutual relation between the two tasks in improving the classification accuracy as well as the learning efficiency with a lightweight neural network model. We additionally include experimental evaluations of the model with over-the-air collected samples and demonstrate first-hand insight on model compression along with deep learning pipeline for deployment on resource-constrained edge devices. We demonstrate significant computational, memory, and accuracy improvement of the proposed model over two reference architectures. In addition to modeling a lightweight MTL model suitable for resource-constrained embedded radio platforms, we provide a comprehensive heterogeneous wireless signals dataset for public use.&lt;/p&gt;
How Users of British Media Websites Make a Bogeyman of George Soros

Abstract In this article we present the results of a qualitative content analysis of online reader comments in British traditional mainstream media. Our aim was to determine the extent to which users respond with antisemitic attributions in the comments under newspaper articles that discuss George Soros. To this end, we selected three events in the year 2020 where reporting on Soros in The Guardian, The Independent, and the Daily Mail triggered discussion. For these events, we examined comments sections on the news websites and the media’s Facebook profiles for antisemitic attributions. With the linguistic form of the attributions as our focus, we used a pragmalinguistic toolbox to analyse implicit, contextual language use. The comments included classic stereotypes, conspiracy theories, victimperpetrator reversal and death wishes. The results reveal the relevance of using an investigative design capable of capturing implicit language use in the analysis of hate speech.
Genre Analysis of Daily COVID-19 Infographic Reports in the Arabian Gulf: The Case of the Kingdom of Bahrain

&lt;p&gt;&lt;em&gt;Infographics are visual data that are used in public service announcements to convey particular messages to a particular group of people. During the COVID-19 pandemic, the Ministry of Health (MOH) in the Kingdom of Bahrain relied heavily on the use of infographics to communicate different types of information to all its people. The study at hand aimed to analyze the Medical Announcement Infographics (MAIs) published by the Bahraini MOH during the pandemic. Two research questions were posited. The first one investigated the schematic moves in MAIs, and the second one researched the extent to which the Bahraini Medical Announcement infographics on COVID-19 Pandemic met the contextual variables of register. The study utilized Swales’ genre-analysis model and examined the contextual variables of the MIA register and the lexicogrammatical features highlighted in Systemic Functional Linguistics in relation to the Bahraini MOH’s MAIs. The study concluded that the register variables showed variation in the lexical, structural, and illocutionary force choice-making. In addition, MAIs included both obligatory and optional moves that impacted the behavioral attitudes of the people either positively or negatively.&lt;/em&gt;&lt;/p&gt;
Undergraduate Students’ Perceptions towards the Process of Writing

&lt;p&gt;&lt;em&gt;Writing process has been proven to be an effective approach to enhance students’ writing performance. The writing process consists of pre-writing, drafting, revising, and editing. The writing process aids the students in developing ideas while writing, but it was claimed that students also face challenges during the process. Therefore, this current study aimed to investigate the students’ perceptions of the writing process and the challenges. The subjects taken were the first-year students of the English Educational program at the State University of Malang, in which 31 students of IC Writing Class were chosen. The perceptions were investigated through a survey study by distributing online questionnaires via Google Form. The questionnaire was divided into four aspects; pre-writing, drafting, revising, and editing, which aimed at exploring the students’ perceptions during the writing process and its challenges. The findings of the study showed that the students experienced difficulties in the writing process. The most challenging stages they had were the pre-writing and revising stage. The students faced challenges in generating and structuring ideas, respectively. Meanwhile, the students claimed that drafting and editing were less challenging since they followed the preceding stage. Nonetheless, the students also believed that proofreading was a complex process in the editing stage. The results of this study will be beneficial for English teachers and future researchers to vary the teaching methodology and reflect a better analysis. &lt;/em&gt;&lt;/p&gt;
THE TEACHING STRATEGIES TOWARD STUDENTS’ DEVELOPMENT REFLECTED IN HARRY POTTER AND THE CHAMBER OF SECRET FILM

Learning is used to achieve a goal for both teachers and students. The successful learning depends on the teachers in delivered the materials which may engaged the student’s curiosity by using learning strategy. Learning strategy facilitate the learners to learn the material which make the learning process becomes easier, enjoyable and more effective. In fact, there are several ways to teach such as scaffolding and cooperative as strategies which may give the effect for the students especially in their cognitive development based on constructivism theory. The finding shows some strategies and its effect that used in the characters. Moreover, this research uses qualitative method to give a brief explanation and describing the problem. This research explains about the learning strategy that reflected in “Harry Potter and the chamber of secret” film which can inspire the teachers about the kinds of strategies and its effects that use in the film
The Idea of History in Yu. M. Lotman’s Later Research

This article has a twofold goal, i. e. to identify the origins of late Yu. M. Lotman’s later ideas about history and to determine their peculiarities. The author focuses on two of Lotman’s fundamental ideas: the unpredictability of history and the juxtaposition of explosive and evolutionary processes. He understands the unpredictability of the historical process both in terms of the impossibility of predictions and in terms of turning to the past, which always depends on the present. To a large extent, Lotman developed the idea polemizing with the Annales School, which regarded the historical process as a slow time-reversible development. While appreciating the works of this school, Lotman contrasted the idea of longue durée with the idea of an explosion and the position of the researcher who is above the historical process and takes a position within it. On the one hand, the unpredictability of history is a source of the constant growth of new information, which makes history related to the artistic text. On the other hand, it increases the responsibility of any person who is able not only to study history but also to influence its course. It gives the historical process a moral character. The opposition of explosive and evolutionary processes corresponds to the opposition of binary and ternary models in historical evolution. In this regard, Lotman develops the ideas of C. Lévi-Strauss and J. Le Goff. However, unlike them, who deemed the separate existence of ternary and binary structures possible, Lotman shows their inseparable unity, which exists not only in the historical process but also in national literature and the work of individual writers. Lotman not only likens history to art but contrasts it to art as a look into the past is opposed to a look into the future. In Lotman’s appeal to the historical past, one can notice the synthesis of scholarly thinking and artistic imagination, which gives his later works a freer style and depth.
Differential scanning calorimetry of natural gold

Differential scanning calorimetry of gold samples from various natural deposits was carried out. It is shown that such thermodynamic parameters as enthalpy and entropy of melting and crystallization processes can correlate with the genesis of their formation. Previously unknown features on the temperature dependences of the heat capacity were discovered. It is suggested that their occurrence is due to the concentration heterogeneity in the distribution of the accompanying elements present in natural gold.
A Critical Discourse Analysis of Cyberbullying Among University Students in Pakistan

In the present era of technology, cyber-bullying on social media is a rising concern all over the world. The current study aims at exploring the language used by bullies among university students on social media especially Facebook and Instagram so as to unfold how bullies exploit their fellows for dominance. The data was collected from five students of the university with the age ranging from 20-25 years. The participants provided the data in the form of screenshots of the chats. For the analysis of the data, Van Dijk’s three-dimensional model was used to analyze the discourse on three levels: text, social cognition, and social context in the context of the principles of Critical Discourse Analysis. The results and discussion revealed that the bullies exploited the victims via their language to achieve certain goals which included blackmailing and making the victims feel inferior by targeting their weak points. The study concluded that the bullies targeted the weaker fellows in the circle and maintained an imbalance of power by using harsh, offensive, abusive, and target-specific words. The victims faced despair, nervousness, hopelessness, insecurity, and in some cases psychological pressure leading to suicidal behavior.
A Practical Secure Multi-Party Sorting Scheme Based on Radix Sorting and Homomorphic Encryption

Secure multi-party computation(SMC) has been a hot research topic in the international cryptography community in recent years. Secretly comparing the size of two data is one of the basic issues of SMC, and the problem of secure multi-party sorting is a natural generalization of the issue. It is widely applied in electronic auctions, confidential bidding, anonymous voting and secure data mining. Therefore, the study of secure multi-party sorting has important theoretical and practical significance. The scheme designed in this paper based on the idea of radix sorting and Paillier homomorphic encryption can not only be used to solve the secret sorting problem, but also can be easily applied to other calculation methods, such as secure calculation of maximum and minimum values and set intersection and union problems. The scheme proposed in this paper is very low in terms of communication overhead and computational overhead., this scheme has high efficiency and is easy to implement and apply in real environments.
An Urban Partnership: Embracing Collaboration and Feedback

Our research-practice partnership is between an urban, high-poverty high school and a neighboring university. Our collaboration focused on establishing trusting relationships, cultivating a shared language between partners, and learning from and with each other throughout the partnership. When COVID-19 began and impacted schools around the world, our community partnership pivoted to address new issues faced by the high school. We evaluated our partnership through a retrospective pretest-posttest, mixed-methods research design. Teachers, instructional coaches, and school leadership were asked to reflect at the end of the program on the growth of the teachers with whom they worked, as well as their own growth. The evaluation evidence revealed that the partnership was beneficial for both teachers and instructional coaches. Teachers demonstrated growth in pedagogical and content knowledge, integration of technology and virtual tools, student engagement, and sense of professionalism. In this article, we will provide readers with ideas and resources for initiating their own partnership.
Thematic Analysis of Indonesian Physics Education Research Literatures Using Machine Learning

Emergent physics education research (PER) literatures have been disseminated through academic publications within the community. The growing body of literatures over years challenge Indonesian PER scholars to understand how the research community has been progressed and what possible future work that should be emphasized. Nevertheless, previous traditional method of thematic analysis performed serious limitation when the number of PER literatures exponentially increased. Dealing with this large volume of publications, one of the machine learning studies namely natural language processing (NLP) was employed in this study to automate our thematic analysis among Indonesian PER literatures that are still limited to be explored. One of the well-known NLP algorithm, latent Dirichlet allocation (LDA), has been performed to extract Indonesian PER topics and their associated development between 2014 and 2021. A total of 852 papers (~ 4 to 8 pages each) were collectively downloaded from five international conference proceedings organized by Indonesian PER researchers. Before their topics were modeled through LDA algorithm, our data corpus should be previously preprocessed through several common procedures of established NLP studies. Findings revealed that LDA has thematically quantified Indonesian PER topics and described their distinct development over certain period. The identified topics from this study demonstrated that Indonesian PER community has established robust development in eight distinctive topics to the present. They begin with initial interest in focusing research on physics laboratory and following the research based instruction in the late 2015. Indonesian PER scholars sustained to study continuous topic on 21st century skill until 2019 which gave way to a focus on developing relevant educational technology to address several forms of students&amp;rsquo; performance including scientific literacy and problem solving. There is still lack of Indonesian PER literatures that have been attempted to address qualitative aspects of physics teaching and learning.
effect of the strategy of directing thinking during reading (D-R-T-A) on the achievement of literary fifth grade students in the subject of literature and texts

The current research aims to identify the effect of the strategy of directing thinking during reading (D-R-T-A) on the achievement of fifth-grade literary students in literature and texts. The experimental group who study literature and texts using the strategy of directing thinking (D-R-T-A) and the average scores of the students of the control group who study the same subject in the usual way. The researchers adopted the experimental design with partial control, consisting of an experimental group and a control group with a post-achievement test, and the research community consisted of secondary and preparatory schools for boys affiliated to the Directorate of Education of Babel / the Center, and by random drawing, the researchers chose a secondary school (Ibn Sina) located in the center of the governorate. Babylon to conduct the experiment, and the school included two divisions for the fifth literary, and division (B) was chosen randomly to represent the experimental group, while Division (A) represented the control group, and the research sample amounted to (60) students, with (30) students for each group.
An asset-focused systematic framework to manage cybersecurity from tactical and operational levels

&lt;p&gt;The standards and reference models commonly used to administrate cybersecurity are not suitable to manage it at tactical and operational levels. They are sometimes very generic, other times they are focused on information security but not on cybersecurity, and on rare occasions\textcolor{blue}{,} they detail specific methodological and procedural aspects for lower levels. This causes difficulty in keeping cybersecurity adapted to the highly dynamic cyber context with the required holism and strategic alignment. Our proposal defines a process, CyberTOM, to manage cybersecurity from tactical and operational levels, as well as a set of techniques, knowledge bases, and concepts to support it and contribute to its practical application, focusing on the business asset and on maintaining both the holistic vision and strategic alignment. Likewise, our solution provides mechanisms to assess cybersecurity at different levels, being an independent complement of the standard used for higher levels.&lt;/p&gt;
The Development of Cybersecurity Information Sharing Framework for National Critical Information Infrastructure in Indonesia

The increase of cyber attacks in the Critical Information Infrastructure (CII) requires every organization to collaborate through Cybersecurity Information Sharing (CIS).To support the implementation of the CIS, governance support is needed in the form of a framework that can be used as a reference.This study focuses on developing a CIS framework for the CII sector in Indonesia which consists of three main outputs, namely the proposed ecosystem, the proposed framework and the recommendations for the implementation of the framework.The proposed framework is based on standards including ISO/IEC 27032, NIST SP 800-150 and ENISA ISAC in a Box, based on best practices for implementing CIS and best practices for implementation in other countries including the United States, Australia, United Kingdom, Singapore and Canada.To validate, the expert judgment method was used to obtain suggestions for improvement.The expert judgment method was also carried out quantitatively to measure interrater reliability between experts using Fleiss Kappa Statistics.The measurement results show a kappa value of 0.938, which means that the proposed framework implementation recommendation gets an agreement from the experts at the almost perfect agreement level.
Digitalization and Industrial Revolution 4 (IR4) Technologies

With the advent of the Industrial Revolution 4 (IR4), many new challenges have emerged. One such issue is privacy and security. Millions of devices are now connected to the internet, and there is no concrete way to ensure that the user has authority (or) control over its data. This study addresses this challenge by drawing a theoretical framework for IoT software that can provide mathematical proof to the user regarding the privacy of the data. Such a certification would ensure that the data remains confidential as well as it will accelerate the rate of adoption of IoT technologies.