The application of AI in research of Indonesian internet literature is a revolutionizing approach to the enhancement of education. This research involves the design and evaluation of an AI-based annotation tool for the analysis and annotation of key literary elements such as themes, stylistic devices, and narrative structures. In this study, neural networks and support vector machines have been employed to train the AI model on a comprehensive corpus consisting of more than 500 works in Indonesian internet literature. The accuracy attained by the tool in annotation was 85%, which greatly improved student engagement and understanding of digital literary texts by 40% to 70%. While so far showing promising results, the study did encounter some challenges in the actual implementation of the research, especially concerning the necessity of heavy training and guidance for educators and students. The implications of the findings recommend the potential of AI to revolutionize Indonesian literature studies through deeper insight and more interactive learning environments.

This is an editorial report on the outcomes of an international conference sponsored by a grant from the National Science Foundation (NSF) (REESE-1205273) to the School of Education at Boston University and the Center for Philosophy and History of Science at Boston University for a conference titled: How Can the History and Philosophy of Science Contribute to Contemporary U.S. Science Teaching? The presentations of the conference speakers and the reports of the working groups are reviewed. Multiple themes emerged for K-16 education from the perspective of the history and philosophy of science. Key ones were that: students need to understand that central to science is argumentation, criticism, and analysis; students should be educated to appreciate science as part of our culture; students should be educated to be science literate; what is meant by the nature of science as discussed in much of the science education literature must be broadened to accommodate a science literacy that includes preparation for socioscientific issues; teaching for science literacy requires the development of new assessment tools; and, it is difficult to change what science teachers do in their classrooms. The principal conclusions drawn by the editors are that: to prepare students to be citizens in a participatory democracy, science education must be embedded in a liberal arts education; science teachers alone cannot be expected to prepare students to be scientifically literate; and, to educate students for scientific literacy will require a new curriculum that is coordinated across the humanities, history/social studies, and science classrooms.

The process of collecting and organizing sets of observations represents a common theme throughout the history of science. However, despite the ubiquity of scientists measuring, recording, and analyzing the dynamics of different processes, an extensive organization of scientific time-series data and analysis methods has never been performed. Addressing this, annotated collections of over 35 000 real-world and model-generated time series and over 9000 time-series analysis algorithms are analyzed in this work. We introduce reduced representations of both time series, in terms of their properties measured by diverse scientific methods, and of time-series analysis methods, in terms of their behaviour on empirical time series, and use them to organize these interdisciplinary resources. This new approach to comparing across diverse scientific data and methods allows us to organize time-series datasets automatically according to their properties, retrieve alternatives to particular analysis methods developed in other scientific disciplines, and automate the selection of useful methods for time-series classification and regression tasks. The broad scientific utility of these tools is demonstrated on datasets of electroencephalograms, self-affine time series, heart beat intervals, speech signals, and others, in each case contributing novel analysis techniques to the existing literature. Highly comparative techniques that compare across an interdisciplinary literature can thus be used to guide more focused research in time-series analysis for applications across the scientific disciplines.

The patient-surgeon encounter is a complex relationship characterized by the infliction of pain for the patient's benefit. While surgical interventions are deeply personal, a significant knowledge disparity between patients and surgeons poses challenges in communication. Surgical training emphasizes the cultivation of virtues and practices to prioritize patient interests, but contemporary surgical practice still grapples with ethical quandaries. Addressing these challenges head-on is vital for advancing the field while ensuring patient safety, informed consent, cost-effectiveness, and conflict management. This article aims to contribute to the discourse on surgical ethics by delineating its scope, exploring key ethical issues, and examining strategies employed by surgeons. Additionally, it investigates the impact of surgical ethics on patients, surgeons, and society. Through a bibliometric analysis of the top 50 articles, key themes and influential works are identified. Themes include ethics of surgical innovation, history of surgical ethics, surgical ethics in practice, and ethics education. The analysis also reveals trends in countries of origin, authorship, article types, and journal representation. Findings inform the development of ethical frameworks, guidelines, and ethical competencies in surgical practice, promoting patient-centered care and professionalism. Collaboration among stakeholders is essential to shape the future of surgical ethics.

This study explores the thematic evolution of articles in The Physics Teacher and Physics Education journals, over a critical period in modern history, from the Cold War era to the pre-pandemic world (1966 - 2019). Using an NLP-based inductive topic modeling approach, we identify recurring themes that have shaped the physics education literature, including content-based topics, teaching methodologies, laboratory practices, curriculum development, and the influence of Physics Education Research (PER). Our findings reveal both overarching trends and distinct thematic preferences between the journals. Physics Education has historically emphasized curriculum structures, social aspects of education, and interdisciplinary connections, whereas The Physics Teacher has focused more on pedagogical strategies, demonstrations, and practical teaching tools. Over the past three decades, both journals have increasingly incorporated discussions on technology, computation, and PER-driven instructional practices. By tracing these developments over five decades, this study provides a broader perspective on how physics education has responded to changing educational priorities, technological advancements, and research developments.

Camelot, Avalon: it is enough to briefly mention such places to evoke a myth that has haunted European literature – and, more broadly, culture – for centuries. These are some of the places where the stories of King Arthur and the Round Table are located: places probably unreal, but places whose names form part of the European cultural imagination. In this sense, a very interesting representation is to be found in the French book La légende arthurienne, where a map – significantly entitled “carte de l’imaginaire arthurien” – shows both real places and imaginary ones, the latter existing only in literary sources.1 This tangled mix of reality and imagination is, in my view, the key element of the French medieval texts about King Arthur and the so-called “Breton cycle.”2 My contribution will focus first more broadly on this literary tradition, and on its relationship with history and fiction. Thereafter, I will develop an analysis of these themes in the thirteenth-century French prose masterpiece La Mort le Roi Artu, focusing in particular on its sense of the tragic and on the role played by dreams in the text. As suggested at the beginning, it is not overstated to define the character of King Arthur as a ‘myth’ of European culture. The trajectory of the theme of Arthur and the Round Table is a typically literary one. Still, its evolution is deeply embedded in historical developments and it has been repeatedly used for political legitimation. It also combines a key set of mythical and historical elements that remain a constant presence in European medieval culture. The charm this figure and the literary texts pertaining to the “Breton cycle” exercise on readers has a long history. In fact, the medieval public was already deeply aware of the seductive power of this kind of literature. For example, the French poet Jean Bodel distinguished three major literary materials – the texts of ancient Rome, the Carolingian ones from France, and the Breton cycle – and argued that the texts pertaining to the last are “vains et plaisantes,” unreal and charming.3 And Dante Alighieri, in his De Vulgari Eloquentia, defined these texts as “Arthuri regis

Code smells are symptoms of poor design and implementation choices, which might hinder comprehension, increase code complexity and fault-proneness and decrease maintainability of software systems. The aim of our study was to perform a triangulation of bibliometric and thematic analysis on code smell literature production. The search was performed on Scopus (Elsevier, Netherlands) database using the search string code smells which resulted in 442 publications. The Go-to statement was the first bad code smells identified in software engineering history in 1968. The literature production trend has been positive. The most productive countries were the United States, Italy and Brazil. Eight research themes were identified: Managing software maintenance, Smell detection-based software refactoring, Architectural smells, Improving software quality with multi-objective approaches, Technical debt and its instance, Quality improvement/assurance with mining software repositories, Programming education, Integrating the concepts of anti-pattern, design defects and design smells. Some research gaps also emerged, namely, New uncatalogued smell identification; Smell propagation from architectural, design, code to test, and other possible smells; and Identification of good smells. The results of our study can help code smell researchers and practitioners understand the broader aspects of code smells research and its translation to practice.

Retarders are used to prevent hydration of oilwell cement by prolonging thickening time and setting time, giving enough time for cement slurry application under deep and high-temperature conditions. However, the history and potential research direction of oilwell cement retarder has not been fully investigated. Thus, this study aims to fill these gaps in knowledge by identifying the main themes, influential authors, reputable journals, countries, and emerging keywords in this research area. The VOSviewer software was used to analyze journal articles published between 2000 to 2022 from the Scopus database to achieve the history, emerging keywords and potential research direction of oilwell cement retarder. The results show that 1,217 research articles on oilwell cement retarders have been published. Additionally, emerging keywords such as alkaline-activated slags, inorganic polymers, geopolymers, curing, slag grouting, and magnesia have gained recent attention. Authors from China, the United Kingdom, the United States, Spain, and South Korea contributed over 50% of the cited publications within the selected years. The findings provide valuable insights into previous studies on cement retarder applications, allowing for a deeper understanding of the research area, identifying the research gaps, highlighting potential research directions and collaborators.

Preserving the privacy of individual databases when carrying out statistical calculations has a long history in statistics and had been the focus of much recent attention in machine learning In this paper, we present a protocol for computing logistic regression when the data are held by separate parties without actually combining information sources by exploiting results from the literature on multi-party secure computation. We provide only the final result of the calculation compared with other methods that share intermediate values and thus present an opportunity for compromise of values in the combined database. Our paper has two themes: (1) the development of a secure protocol for computing the logistic parameters, and a demonstration of its performances in practice, and (2) and amended protocol that speeds up the computation of the logistic function. We illustrate the nature of the calculations and their accuracy using an extract of data from the Current Population Survey divided between two parties.

Following the development of knowledge economies, there has been a rapid expansion of economic analysis of knowledge, both in the context of technological knowledge in particular and the decision theory in general. This paper surveys this literature by identifying the main themes and contributions and outlines the future prospects of the discipline. The wide scope of knowledge related questions in terms of applicability and alternative approaches has led to the fragmentation of research. Nevertheless, one can identify a continuing tradition which analyses various aspects of the generation, dissemination and use of knowledge in the economy.

Generative Artificial Intelligence (GenAI), Large Language Models (LLMs), and emerging Agentic AI constitute the most disruptive transformation in the history of software engineering (SE), reshaping development processes, required competencies, professional roles, and the educational outcomes that universities must deliver. This paper presents a systematic review of 48 verified, influential peer-reviewed publications (2016--2026) drawn from leading venues in software engineering, machine learning, computing education, human--AI collaboration, and software productivity. Studies were discovered, screened, and analyzed through a four-agent research workflow (Literature Discovery, Scientometric Analysis, Curriculum Transformation, and Workforce Impact) and were verified against primary sources. We synthesize the evidence along nine themes and three trajectories -- practice, education, and workforce -- and report a scientometric inflection in which annual LLM-for-SE output grew roughly five-fold after late 2022. From this synthesis we contribute: (i) a conceptual framework for AI-native software engineering organized around \emph{intent}, \emph{collaboration}, and \emph{verification}; (ii) a nine-dimension competency model spanning specification, critical evaluation, agent orchestration, and metacognition; (iii) a four-phase university curriculum roadmap with AI-resilient assessment; (iv) faculty-development and workforce-transformation strategies; and (v) a prioritized agenda of eleven research gaps. The evidence base is internally contradictory on the magnitude and direction of productivity effects, underscoring that benefits are strongly context-dependent and that educating engineers for judgment, verification, and orchestration -- rather than code production alone -- is the central challenge of the AI-native era.

This study conducts a comprehensive literature review to explore the potential and challenges of integrating game-based learning (GBL) into formal history education. Given the increasing interest in the educational value of games, this review systematically examines academic research published over the past fifteen years. The analysis focuses on two major themes: (1) the development and theoretical underpinnings of history-related game-based learning, and (2) the difficulties encountered when implementing GBL in formal education systems, including issues related to curriculum alignment, teacher readiness, and instructional assessment. Drawing on 118 selected high-impact publications, this review identifies both the pedagogical benefits and the structural limitations of using historical games in the classroom. The findings highlight that while game-based learning holds promise in improving students’ engagement, motivation, and understanding of historical content, its practical implementation requires careful instructional design, sufficient resources, and alignment with national educational standards. This review concludes by proposing a set of strategic recommendations to guide future integration efforts of GBL into history education. As a literature review, this study does not involve empirical data collection but rather synthesizes existing research findings to inform educational practice and future inquiry.

The use of population descriptors like race, ethnicity, and ancestry in science, medicine and public health has a long, complicated, and at times dark history, particularly for genetics, given the field's perceived importance for understanding between-group differences. The historical and potential harms that come with irresponsible use of these categories suggests a clear need for definitive guidance about when and how they can be used appropriately. However, while many prior authors have provided such guidance, no established consensus exists, and the extant literature has not been examined for implied consensus and sources of disagreement. Here we present the results of a systematic review of published normative recommendations regarding the use of population categories, particularly in genetics research. Following PRISMA guidelines, we extracted recommendations from n=121 articles matching inclusion criteria. Articles were published consistently throughout the time period examined and in a broad range of journals, demonstrating an ongoing and interdisciplinary perceived need for guidance. Examined recommendations fall under one of eight themes identified during analysis. Seven are characterized by broad agreement across articles; one, Appropriate definitions of population categories and contexts for use, revealed substantial fundamental disagreement among articles. While many articles focus on the inappropriate use of race, none fundamentally problematize ancestry. This work can be a resource to researchers looking for normative guidance on the use of population descriptors, and can orient authors of future guidelines to this complex field, contributing to the development of more effective future guidelines for genetics research.

This study conducts a comprehensive bibliometric analysis of educational literature from 1976 to 2025, revealing significant research output and impact trends. The findings indicate a period of low article production from the late 1970s to the early 2000s, with notable citation peaks in 1981 and 1986. However, since the 2010s, there has been a marked increase in published articles, accompanied by a decline in average citations per article, suggesting a saturation of literature. The keyword co-occurrence analysis high lights a shift from historical perspectives to emerging themes such as rural education and gender issues, particularly from 2012 onward. The study identifies a well-defined hierarchy in which the «history of education» cluster remains central, underscoring its foundational role in the field. In contrast, the period from 2016 to 2025 exhibits diversification in research inquiries, with new clusters emerging around case studies and qualitative approaches. Despite this diversification, the analysis reveals a lack of significant citation spikes in newer topics, indicating potential stagnation. Overall, this research underscores the dynamic evolution of educational literature, emphasizing the need for ongoing inquiry into contemporary themes and their relevance in addressing current educational challenges. Future studies should enhance the visibility and impact of emerging topics within this increasingly saturated academic landscape.

Recent studies indicate that robotic coaches can play a crucial role in promoting wellbeing. However, the real-world deployment of wellbeing robots raises numerous ethical and socio-technical questions and concerns. To explore these questions, we undertake a community-centered investigation to examine three different communities' perspectives on using robotic wellbeing coaches in real-world environments. We frame our work as an anticipatory ethical investigation, which we undertake to better inform the development of robotic technologies with communities' opinions, with the ultimate goal of aligning robot development with public interest. We conducted workshops with three communities who are under-represented in robotics development: 1) members of the public at a science festival, 2) women computer scientists at a conference, and 3) humanities researchers interested in history and philosophy of science. In the workshops, we collected qualitative data using the Social Robot Co-Design Canvas on Ethics. We analysed the collected qualitative data with Thematic Analysis, informed by notes taken during workshops. Through our analysis, we identify four themes regarding key ethical and socio-technical questions about the real-world use of wellbeing robots. We group participants' insights and discussions around these broad thematic questions, discuss them in light of state-of-the-art literature, and highlight areas for future investigation. Finally, we provide the four questions as a broad framework that roboticists can and should use during robotic development and deployment, in order to reflect on the ethics and socio-technical dimensions of their robotic applications, and to engage in dialogue with communities of robot users. The four questions are: 1) Is the robot safe and how can we know that?, 2) Who is the robot built for and with?, 3) Who owns the robot and the data?, and 4) Why a robot?.

Research on food consumption practices in Central and Eastern Europe (CEE) has grown significantly over the last two decades, documenting the region’s diverse food practices. By focusing on the region’s distinct history and socio-cultural dynamics, this body of work enriches global food studies scholarship and increasingly challenges dominant narratives surrounding alternative food networks (AFNs), which are primarily based on empirical and theoretical work from Western Europe and North America. In this study, we conducted an integrative critical literature review and thematic analysis to explore “alternative” food consumption practices in CEE. Our exploratory, content-driven approach involved reviewing a wide range of empirical and theoretical studies, synthesizing existing knowledge, and extending it through an interpretive thematic analysis. We identified key themes depicted in the English-language academic literature on alternative food consumption practices in CEE, including autonomy, resistance, tradition, identity, informal networks, (dis)trust, choice, and values. We also noted tensions in the literature related to concepts of tradition, culture, Europeanization, overt and covert sustainability, “normal” consumption, and ethical consumption. A recurrent concept in this literature is hybridity, suggesting that many food consumption practices in CEE occupy an ambivalent space, raising questions about notions of “alternative” and “conventional” consumption. Overall, our synthesis underscores the importance of cultural nuances and historical trajectories in shaping regional food systems. With this review, we aim to advance food studies scholarship through an analysis of the evidence emerging from this under-represented region.

Purpose This paper aims to review the extant literature on open innovation and new product development (NPD) using bibliometric analysis to gauge the evolving journey of this concept in the domain of Business and Management. Design/methodology/approach The researcher used the Scopus database to search the relevant documents for bibliometric analysis. The data range was from 2006 till June 2023. Citation analysis, co-citation analysis and co-occurrence of authors' keywords were used for bibliometric analysis. Findings The paper charts the intellectual structure of literature related to open innovation and NPD. The five major themes emerge as prominent themes in the literature, i.e. Open Innovation: Conceptualization, Dynamic Capabilities and Competitive Advantages; Open Innovation: Contingencies and Possibilities; Co-creation and New Product Development (NPD); Open Innovation for Businesses: A Shifting Paradigm; and Implementing of Open Innovation in Industries: Cases. Besides this, the study also reveals the most influential authors, journals and countries in their contribution to open innovation and new product development. Future research directions are also presented. Practical implications The present study contributes on academic and managerial fronts. The study provides important insights contributing to the open innovation and NPD literature. From the organizational point of view, the study provides a detailed understanding of the concept of open innovation and NPD that can aid managers in acquiring a comprehensive knowledge of the concept before using it as a strategic intervention. Originality/value The present study identifies the gradual progression of this research area over time. It delineates key themes emerging from past literature, providing avenues for future research.