Reviewerly/exHarmony huggingface dataset:
Digital Education Colonized by Design: Curriculum Reimagined

This paper enlists Paulo Freire’s work to explore the interplay between technology and pedagogy from a decolonial approach, thus stressing the importance of adopting a critical stance to the facilitation of digital education experiences. It starts by denouncing digital education as entrapped in digital capitalism, contending how curricular practices are likely to be subjugated to technological function. Through such a conceptual lens, digital curriculum design is explored from a perspective of learning solidarity, aiming to disrupt the instrumentalization of education and creating educational experiences that cater for a humanizing process of education. The paper aims to contribute with ideas towards a framework of critical digital education, deeming the interactive and creative side of technologies as well as the socio-affective dimension of education crucial to the decolonization of different ways of (curricular) knowing.
Children’s right to freedom of expression in the context of students’ appearance. A comparative study of Poland and the United Kingdom

ABSTRACTThe article concerns the issue of school regulations of students’ appearance in the context of violating children’s right to freedom of expression. The analysis of documents from 30 schools (18 schools in the United Kingdom and 12 schools in Poland) shows areas of control over students’ appearance and bodies, which, in turn, is intended to lead to their homogenisation and shaping into conformist citizens. The analysis showed that the students’ appearance is controlled both in Polish as well as UK schools, and both in those schools which require uniforms as well as those which do not. Most of the regulations relate to girls’ appearance, making their bodies subject to a greater number of mandates and prohibitions than boys’ bodies. Under the guise of the politics of neutrality and safety in schools, regulations of students’ appearance create inequalities and generate fictional threats.KEYWORDS: Children’s rightsfreedom of expressionstudents’ appearancePolandUnited Kingdom Disclosure statementNo potential conflict of interest was reported by the author(s).Notes1. In 2007, the Act on the Education system reintroduced school uniforms into primary and secondary schools, but an amendment published already the following year rescinded this requirement. It is worth noting that this period was characterised by significant variability regarding school uniforms. Some school principals considered a vest or a shirt of a given colour as equivalent to a uniform.
Whistleblowing: interrogating the complexities of law, governance, and freedom of expression in developing nations

Purpose The purpose of this paper is to investigate the influence of the rule of law, corporate governance and freedom of expression on the effectiveness of whistleblowing initiatives. This study interrogates the effectiveness of whistleblowing as a tool in combating economic and financial crimes, in political and corporate environments where good governance and the rule of law are firmly established and enforceable and where defamation is decriminalised. Design/methodology/approach The author conducted a comprehensive review of relevant textbooks, focusing on legal theories and concepts related to the research topic. This study analysed scholarly journal articles to gain insights into the current debates and research gaps. The author discussed seminal court decisions that have influenced the legal landscape pertaining to the research topic and reviewed newspaper publications to understand public opinion and societal implications related to the research topic. Findings To ensure effective whistleblowing as a tool of gathering information in combating economic and financial crime, good governance must be promoted, supremacy of law must be upheld, freedom of expression must be safeguarded and defamation must be criminalised. Originality/value This paper addresses a significant gap in the literature by examining the impact of criminal libel on whistleblowing, an area that has received limited attention in previous studies. The findings of this study have significant implications for policymakers, as they shed light on importance of the rule of law, good governance, freedom of speech and decriminalisation of defamation on effective implementation of an effective whistleblowing laws and policies.
<i>Naked data</i>: curating Wikidata as an artistic medium to interpret prehistoric figurines

In 2019, Digital Curation Lab Director Toni Sant and the artist Enrique Tabone started collaborating on a research project exploring the visualization of specific data sets through Wikidata for artistic practice. An art installation called Naked Data was developed from this collaboration and exhibited at the Stanley Picker Gallery in Kingson, London, during the DRHA 2022 conference. Through data analysis, employing Wikidata tools, this creative work employs a data set depicting prehistoric female figurines held by Heritage Malta. The artistic research aims to develop a creative workflow model for processing essential information about art collections, museum policies, and ways to engage with cultural heritage through data. This article outlines the key elements involved in this practice-based research work and shares the artistic process involving the visualizing of the scientific data with special attention to the aesthetic qualities afforded by this technological engagement.
Teachers’ Readiness to Adopt Smartphone-Based Teaching Methods: Evidence from China

AbstractTeachers’ perspectives are critical to the implementation of mobile-assisted language learning, particularly smartphone-assisted English language learning (SAELL), but have received scant scholarly attention. This study focuses on teachers’ perspectives, examining their changing perceptions of and readiness for SAELL in the context of post-COVID higher education. A questionnaire, based on the unified theory of acceptance and use of technology framework, was 8distributed to 218 English language teachers in China. In general, the teachers had positive perceptions of smartphone learning, and their adoption of mobile technology-based teaching techniques was influenced by performance expectancy, effort expectancy, subjective norms, facilitating conditions, the technological pedagogical content knowledge framework, and their self-efficacy. Conversely, traditional societal and pedagogical cultures, information technology anxiety, lack of technological knowledge and teaching experience, and technical weaknesses were barriers to the teachers’ implementation of smartphone technology both inside and outside the classroom. Practical implications for teachers adopting SAELL are discussed.Keywords: Smartphone-assisted language learningteachers’ perceptionsteachers’ readinesstechnology acceptance AcknowledgementsWe would like to express our gratitude to the journal reviewers for considering the manuscript.Disclosure statementNo potential conflict of interest was reported by the authors.
Creating a Well-being Index for a Company Using Customer Sentiment Analysis

Companies know that it is essential for their well-being to know their customers, the way they act, and the opinions they have about the services provided to them. Today, many of these opinions are posted on social media, which allow for expressing opinions freely and in many cases without great control. As such, they receive messages revealing very curious elements about the services companies provide. Spite being often not very reliable, most of the messages reveal true opinions, in which sentimental manifestations are incorporated. When properly evaluated, they support positively or negatively the opinion expressed. In this paper, we present and discuss a system for analyzing customer opinions about services provided by a hotel, which has the ability to identify sentiments expressed in the opinion texts and establish a well-being index for the hotel. Using the index, it is possible to know the “image” of the hotel to customers, according to the opinion elements identified by the system, which can help to reduce risks, identify emerging trends, and contribute to increased revenue or adjust hotel marketing actions.
Collaborative Framework for Underwater Object Detection via Joint Image Enhancement and Super-Resolution

Underwater object detection (UOD) has attracted widespread attention, being of great significance for marine resource management, underwater security and defense, underwater infrastructure inspection, etc. However, high-quality UOD tasks often encounter challenges such as image quality degradation, complex backgrounds, and occlusions between objects at different scales. This paper presents a collaborative framework for UOD via joint image enhancement and super-resolution to address the above problems. Specifically, a joint-oriented framework is constructed incorporating underwater image enhancement and super-resolution techniques. The proposed framework is capable of generating a detection-favoring appearance to provide more visual cues for UOD tasks. Furthermore, a plug-and-play self-attention mechanism, termed multihead blurpooling fusion network (MBFNet), is developed to capture sufficient contextual information by focusing on the dependencies between multiscale feature maps, so that the UOD performance of our proposed framework can be further facilitated. A comparative study on the popular URPC2020 and Brackish datasets demonstrates the superior performance of our proposed collaborative framework, and the ablation study also validates the effectiveness of each component within the framework.
Writer-Based and Reader-Based Prose in the Author’s Development as a Newspaper Columnist

The purpose of this study was to explore the researcher’s development as a columnist, particularly from the perspectives of Writer-Based and Reader-Based prose, and to identify the topics that have been recurrent themes during the 20-year period of education column writing. An in-depth examination of the researcher’s 210 published column articles (Teacher Talk, The Star. 2002-2021) was carried out with an analysis of content to compare the extent of Reader-Based Prose and Writer-Based Prose as well as topics or issues pertaining to teachers that have been consistently featured throughout the 20 years.Semi-structured interviews were conducted with six participants for the purpose of triangulation. The study revealed that over the period of 20 years, there was a gradual but definite shift towards greater Reader-Based Prose and stronger writer’s ‘presence’ in the column articles. Although elements of Writer-Based Prose were present in particular instances, there was a stronger pattern of Reader-Based Prose in the researcher’s writing, especially in articles written after 2005. Readers could identify with the characters and settings and draw personal meanings from the issues highlighted in the articles th us providing credence to Reader Response Theory. The issues or topics that featured most in the articles and that were most often repeated throughout the 20-year period were teachers’ perceptions of policies and professional issues and special school events. The same topics were the main emerging themes during the interviews thus providing confirmation that most issues experienced by Malaysian school teachers have remained the same over the past twenty years.
Multiobjective Learning to Rank Based on the (1 + 1) Evolutionary Strategy: An Evaluation of Three Novel Pareto Optimal Methods

In this research, the authors combine multiobjective evaluation metrics in the (1 + 1) evolutionary strategy with three novel methods of the Pareto optimal procedure to address the learning-to-rank (LTR) problem. From the results obtained, the Cauchy distribution as a random number generator for mutation step sizes outperformed the other distributions used. The aim of using the chosen Pareto optimal methods was to determine which method can give a better exploration–exploitation trade-off for the solution space to obtain the optimal or near-optimal solution. The best combination for that in terms of winning rate is the Cauchy distribution for mutation step sizes with method 3 of the Pareto optimal procedure. Moreover, different random number generators were evaluated and analyzed versus datasets in terms of NDCG@10 for testing data. It was found that the Levy generator is the best for both the MSLR and the MQ2007 datasets, while the Gaussian generator is the best for the MQ2008 dataset. Thus, random number generators clearly affect the performance of ES-Rank based on the dataset used. Furthermore, method 3 had the highest NDCG@10 for MQ2008 and MQ2007, while for the MSLR dataset, the highest NDCG@10 was achieved by method 2. Along with this paper, we provide a Java archive for reproducible research.
ESL: A High-Performance Skiplist with Express Lane

With the increasing capacity and cost-efficiency of DRAM in multi-core environments, in-memory databases have emerged as fundamental solutions for delivering high performance. The index structure is a crucial component of the in-memory database, which, leveraging fast access to DRAM, plays an important role in the performance improvement and scalability of in-memory databases. A skiplist is one of the most widely used in-memory index structures and it has been adopted by popular databases. However, skiplists suffer from poor performance due to their structural limitations. In this work, we propose ESL, a high-performance and scalable skiplist. ESL efficiently enhances the performance of traverse operations by optimizing index levels for the CPU cache. With CPU cache-optimized index levels, we synergistically leverage a combination of exponential and linear searches. In addition, ESL reduces synchronization overhead by updating the index levels asynchronously, while tolerating inconsistencies. In our YCSB evaluation, ESL improves throughput by up to 2.8× over other skiplists in high-level evaluations. ESL also shows lower tail latency than other skiplists by up to 35×. Also, ESL consistently shows higher throughput in our real-world workload evaluation.
Families of ROC Curves Are Applied to the Methods of Comparison of Emotional Analysis Results

This paper proposes integrating expert perspectives and building families of ROC curves to assess the validity of the observation model against a case study. In this regard, it was revealed that by studying emotions in the face and employing computer software, coincidences may be produced. In practice, the formation of various ROC curves highlights the importance of computer and statistical analysis in such situations, as the subjectivity in these types of investigations grows. Utilize a family of ROC curves as a measure of experimental coincidence, which has shown a 60% success rate in routine testing.
Exploring Prompts in Few-Shot Cross-Linguistic Topic Classification Scenarios

In recent years, large-scale pretrained language models have become widely used in natural language processing tasks. On this basis, prompt learning has achieved excellent performance in specific few-shot classification scenarios. The core idea of prompt learning is to convert a downstream task into a masked language modelling task. However, different prompt templates can greatly affect the results, and finding an appropriate template is difficult and time-consuming. To this end, this study proposes a novel hybrid prompt approach, which combines discrete prompts and continuous prompts, to motivate the model to learn more semantic knowledge from a small number of training samples. By comparing the performance difference between discrete prompts and continuous prompts, we find that hybrid prompts achieve the best results, reaching a 73.82% F1 value in the test set. In addition, we analyze the effect of different virtual token lengths in continuous prompts and hybrid prompts in a few-shot cross-language topic classification scenario. The results demonstrate that there is a threshold for the length of virtual tokens, and too many virtual tokens decrease the performance of the model. It is better not to exceed the average length of the training set corpus. Finally, this paper designs a method based on vector similarity to explore the real meanings represented by virtual tokens. The experimental results show that the prompt automatically learnt from the virtual token has a certain correlation with the input text.
Software Development Method for Conducting Virtual Conferences

The main areas of use of virtual conferences are defined in the study. The analysis of software development tools for conducting virtual conferences was performed. An analysis of the tasks was carried out, which helps to effectively solve the virtual conference. Each stage of conducting a virtual conference has been studied and described. The advantages and disadvantages of holding the conference are determined. A site for virtual conferences has been designed and software implemented, provided that all necessary conditions are met and potential shortcomings are eliminated. Software development technologies are considered. It is substantiated that the software development method for conducting virtual conferences includes three main stages: problem analysis and task setting; study of the theoretical foundations of software development for conducting virtual conferences; development and implementation of software for conducting virtual conferences. The basic processes of software creation have been studied. It is proven that the development of requirements is a process that includes the activities necessary for the creation and assertion of a document containing the specification of system requirements. An analysis of the levels of their detail was carried out: requirements put forward by end users; system specification for developers. Four main stages of the requirements development process were studied: analysis of the technical feasibility of creating a system; formation and analysis of requirements; specification of requirements and creation of relevant documentation; certification of these requirements. The main stages of creating a modern website are considered. The result of the requirements definition process is documentation that formalizes the requirements for the system. The developed site for holding conferences must meet the requirements of standards that regulate the life cycle of software. The fundamental processes characteristic of any software creation project are analyzed.
ISLKG: The Construction of Island Knowledge Graph and Knowledge Reasoning

Islands with both land and sea characteristics provide the foundation for protecting the marine environment, preserving the ecological balance of the ocean, and fostering sustainable economic and social growth. Advanced monitoring technologies have boosted the collection of multi-source data of islands, but the isolation and insufficiency of data are harmful to the development and management of islands. To form a coherent and complete understanding of islands, it is necessary to convert the multi-source data into knowledge-based information. This paper proposes an island knowledge graph construction method based on the combination of entity dictionary and rule patterns, and builds the island knowledge graph (ISLKG) from the top to bottom. An ontology layer is initially created to standardize island knowledge, followed by the collection, transformation, and extraction of entities and relationships from multi-source data in order to construct an island knowledge graph. Then, a knowledge reasoning model based on knowledge graph embedding is used for knowledge completion, improving the ISLKG. Finally, the knowledge inference model was verified based on the constructed island knowledge graph. The results indicate that the model can effectively predict missing entities and complement the island knowledge graph.
Legal Structure and Problems of National Curriculum Establishment and Change

Purpose: This study aims to examine the legal structure of the establishment and change of the national curriculum and to explore future tasks. Method: The research method used for this study was centered on literature research, and a method of supporting the contents of the interview was used for necessary matters. Results: In the establishment and change of the national curriculum, this study was requested to supplement the legal system, divide roles between committees and prepare a cooperative system, and specify models and methodologies for social consensus. Conclusion: In conclusion, this study suggested that it is necessary to find ways to improve tasks following the review of the legal structure of the establishment and change of the national curriculum, distinguish legal and policy judgments, and reorganize institutional regulations that can be curriculum-oriented.
Live Coding Patterns and a Toolkit for Pure Data

Creative activities often involve specific processes and techniques that reflect the unique nature of the activity. For live coders, these processes and techniques can be expressed as algorithms and functions in live coding languages. In many fields, these idiomatic processes are referred to as design patterns. Design patterns are important to understand because they can structure thought and direct users towards particular outcomes. This article examines the design patterns in live coding practices and languages, specifically focusing on the Live Coding Toolkit for Pure Data. Pure Data is a visual programming language, but few live coders have traditionally used it. This article explains how the Live Coding Toolkit allows Pure Data to effectively express the patterns of practice required for successful music live coding performance.
International experience of distance medical education in the context of the COVID-19 pandemic

The article analyzes the traditional face-to-face and distance learning formats. The unfavorable epidemiological situation since March 2020 required an immediate change in the format of education.The comparison of full-time and distance learning, which highlights the positive and negative sides of both types.The problematic aspects of distance education are highlighted. The international experience of urgent transition to online education is described. The experience of transition to a new format of education in the Republic of Kazakhstan is analyzed.