El texto hace mención del libro publicado por la prestigiosa editorial valenciana Tirant Humanidades que, con el título Doble ciego: revistas de investigación, reúne doce experiencias académicas sobre lo que implica la publicación de revistas científicas. La edición ha corrido a cargo de Ricard Huerta, que ha sabido recoger distintas perspectivas sobre la problemática de la divulgación científica
Drawing supports learning by externalizing mental models, but providing timely feedback at scale remains challenging. We present Draw2Learn, a system that explores how AI can act as a supportive teammate during drawing-based learning. The design translates learning principles into concrete interaction patterns: AI generates structured drawing quests, provides optional visual scaffolds, monitors progress, and delivers multidimensional feedback. We collected formative user feedback during system development and open-ended comments. Feedback showed positive ratings for usability, usefulness, and user experience, with themes highlighting AI scaffolding value and learner autonomy. This work contributes a design framework for teammate-oriented AI in generative learning and identifies key considerations for future research.
Carlos Duván Páez-Mora, Yaneth Patricia Caviativa-Castro, Kelly Tatiana Cetina-Matallana
et al.
La enseñanza de temas cardiovasculares en el campo de la educación superior supone un reto para los docentes por su extensión y complejidad. El estudio analizó una estrategia de monitoreo y aprendizaje con memes para reforzar el conocimiento sobre enfermedades cardiovasculares en estudiantes de ciencias de la salud, utilizando métodos constructivistas de educación. La investigación fue de tipo cualitativa, descriptiva y analítica. La recolección de datos se realizó a través de un grupo focal, y el análisis se basó en un sesgo de codificación axial, nube de palabras y matriz de concurrencia. Se encontró que el uso de memes generó remembranza, agrado y sentido del humor en los estudiantes. Esto facilitó un aprendizaje activo y experiencial al permitir la asociación del contenido académico con la vida cotidiana. Además, los memes promovieron un diálogo de saberes. El artículo demuestra que la elaboración del meme, que se basa en su semántica y su capacidad para emular una conversación, es un medio funcional que se adapta a las necesidades comunicativas de los estudiantes. La estrategia de usar memes en la educación para la salud abre un campo con gran potencial para reforzar el conocimiento, promoviendo modelos educativos disruptivos y contextualizados que cuestionan las premisas tradicionales de la pedagogía.
This paper introduces the concept of univocal enmeshment as a novel ontological framework for understanding design as a metaphysical act of creation. Drawing from medieval theology ‒ particularly Duns Scotus’s doctrine of univocity ‒ and extending through mystical, occult and modern philosophical traditions, we argue that design is not merely a technical or aesthetic practice but a manifestation of Being itself. By tracing the historical entanglement of design with Christian mysticism, occult science and speculative metaphysics, we reveal how artefacts emerge from a shared ontological field that includes both Life and technics. Engaging with key thinkers including Deleuze, Simondon, Heidegger and Thacker, we propose that design operates within a continuum of immanence, where creation is distributed, ambiguous and co-emergent. The resulting model of univocal enmeshment challenges hierarchical and hylomorphic views of design, offering instead a vision of design as a mystical, recursive and more-than-human process of becoming.
Walter Didimo, Giuseppe Liotta, Giacomo Ortali
et al.
A planar orthogonal drawing Γ of a connected planar graph G is a geometric representation of G such that the vertices are drawn as distinct points of the plane, the edges are drawn as chains of horizontal and vertical segments, and no two edges intersect except at common end-points. A bend of Γ is a point of an edge where a horizontal and a vertical segment meet. Drawing Γ is bend-minimum if it has the minimum number of bends over all possible planar orthogonal drawings of G. Its curve complexity is the maximum number of bends per edge. In this paper we present a linear-time algorithm for the computation of planar orthogonal drawings of 3-graphs (i.e., graphs with vertex-degree at most three), that minimizes both the total number of bends and the curve complexity. The algorithm works in the so-called variable embedding setting, that is, it can choose among the exponentially many planar embeddings of the input graph. While the time complexity of minimizing the total number of bends of a planar orthogonal drawing of a 3-graph in the variable embedding settings is a long standing, widely studied, open question, the existence of an orthogonal drawing that is optimal both in the total number of bends and in the curve complexity was previously unknown. Our result combines several graph decomposition techniques, novel data-structures, and efficient approaches to re-rooting decomposition trees.
Haiwen Dai, Matthew J. McDermott, Andy Paul Chen
et al.
Data-driven methodologies hold the promise of revolutionizing inorganic materials discovery, but they often face challenges due to discrepancies between theoretical predictions and experimental validation. In this work, we present an end-to-end discovery framework that leverages synthesizability, oxidation state probability, and reaction pathway calculations to guide the exploration of transition metal oxide spaces. Two previously unsynthesized target compositions, ZnVO3 and YMoO3, passed preliminary computational evaluation and were considered for ultrafast synthesis. Comprehensive structural and compositional analysis confirmed the successful synthesis ZnVO3 in a partially disordered spinel structure, validated via Density Functional Theory (DFT). Exploration of YMoO3 led to YMoO3-x with elemental composition close to 1:1:3; the structure was subsequently identified to be Y4Mo4O11 through micro-electron diffraction (microED) analysis. Our framework effectively integrates multi-aspect physics-based filtration with in-depth characterization, demonstrating the feasibility of designing, testing, synthesizing, and analyzing (DTMA) novel material candidates, marking a significant advancement towards inorganic materials by design.
Мета дослідження полягає у комплексному теоретичному вивченні і систематизації напрямів використання нейромережі штучного інтелекту у мистецтві фотографії, визначенні перспектив використання цього інструментарію у професії фотохудожника Методологія. Тестування і комплексний компаративний аналіз можливостей сучасних комп’ютерних програм, що використовують нейротехнології, системний аналіз і узагальнення наукових джерел дотичних до тематики дослідження Результати. Досліджено можливості штучного інтелекту, як засобу для створення фотографічного зображення комерційного, масового та мистецького характеру. Існуюче різноманіття програм, що використовують штучний інтелект, запропоновано умовно розділити на ті, що надають технічну допомогу фотохудожнику в обробці фотографій, і ті, що направлені на створення унікальних зображень, згенерованих за допомогою текстового запиту, вихідного зображення, або їх поєднання. Надано оцінку можливостей найбільш затребуваних програм кожного типу. На основі їх ретельного аналізу визначені перспективи розвитку жанрів фотографії, а також розглянуто питання щодо авторського права на візуальні роботи, створені у колаборації фотохудожник – програма штучного інтелекту. Наукова новизна статті полягає у введенні в науковий обіг поняття типології програм, що використовують засоби штучного інтелекту у візуальному мистецтві, визначенні шляхів розвитку жанрів художньої фотографії і фотографії загалом, частково або повністю створених за допомогою технологій штучного інтелекту Практична значущість роботи полягає у формуванні цілісної картини щодо сучасного стану і перспектив використання програмних засобів з впровадженням технологій штучного інтелекту у професії фотохудожника
Abstract This study presents an energy consumption (EC) forecasting method for laser melting manufacturing of metal artifacts based on fusionable transfer learning (FTL). To predict the EC of manufacturing products, particularly from scale-down to scale-up, a general paradigm was first developed by categorizing the overall process into three main sub-steps. The operating electrical power was further formulated as a combinatorial function, based on which an operator learning network was adopted to fit the nonlinear relations between the fabricating arguments and EC. Parallel-arranged networks were constructed to investigate the impacts of fabrication variables and devices on power. Considering the interconnections among these factors, the outputs of the neural networks were blended and fused to jointly predict the electrical power. Most innovatively, large artifacts can be decomposed into time-dependent laser-scanning trajectories, which can be further transformed into fusionable information via neural networks, inspired by large language model. Accordingly, transfer learning can deal with either scale-down or scale-up forecasting, namely, FTL with scalability within artifact structures. The effectiveness of the proposed FTL was verified through physical fabrication experiments via laser powder bed fusion. The relative error of the average and overall EC predictions based on FTL was maintained below 0.83%. The melting fusion quality was examined using metallographic diagrams. The proposed FTL framework can forecast the EC of scaled structures, which is particularly helpful in price estimation and quotation of large metal products towards carbon peaking and carbon neutrality.
Drawing. Design. Illustration, Computer applications to medicine. Medical informatics
In the Metamorphoses, Ovid recounts the myth of the labyrinth, the story of Daedalus and Icarus and the overcoming through flight of the labyrinthine structure, a symbol of imprisonment but also of the indissoluble bond between one’s body and one’s view of the world. [read more]
The actual topic of the practice of forming a street network and a passenger transport system is touched upon on the example of the city of Novopolotsk. The article explores and analyzes design solutions for the creation and improvement of transport infrastructure. Illustrations include graphic diagrams and drawings borrowed from literary sources and archives of design organizations, independently prepared for publication by the author.
Through systematically analyzing the literature on designing AI-based technologies, we extracted design implications and synthesized them into a generic human-centered design framework for AI technologies to better support human needs and mitigate their concerns. When adapting the framework to children's context, understanding their specific needs, behaviors, experiences, and social environments is needed. Therefore, we are working on projects to explore tailored design considerations for children, such as through investigating children's use of existing AI-based toys and learning technologies. By participating in the ACM CHI 2023 Workshop on "Child-Centred AI Design: Definition, Operation, and Considerations," we hope to learn more about how other researchers in this field approach designing child-centered AI technologies, exchange ideas on the research landscape of children and AI, and explore the possibility to develop a practical child-centered design framework of AI technologies for technology designers and developers.
Christine Poulard, Renard Benjamin, Gonzalez-Sosa Enrique
et al.
The "100-year flood" is commonly used, for instance in newspapers, but flood hazard assessment is more complex than it seems. We first describe an animation entitled "bag of floods" to make flood quantiles more concrete, using marbles whose colour corresponds to a class of return period. Discussing the analogies and differences between drawing a marble from the bag and the next annual flood make it easier to explain that flood hazard assessment (i) must not be focussed on the "100-yr flood", (ii) is often expressed as a probability over one given year, but for planning it should be estimated over a much longer duration (like successive draws from the bag) and (iii) variability is significant and matters. Scripts allowing to simulate long series of draws confirm that empirical probabilities get close to theoretical probabilities, but also illustrate less intuitive results : on average one quarter of 100 successive draws, contains two floods or more with a discharge exceeding the "100-yr discharge". To go further, Sample2Gumbel is a teaching tool drawing annual maxima discharges. It compares on a graph (i) a "real distribution", coded in the script and used to draw a sample, (ii) the sample expressed with respect to "plotting position", expressed as a return period but which is in fact a crude estimation to allow plotting, (iii) the distribution fitted on the sample. This demo tool illustrates the variability of different tries, with samples of the same length, and shows how uncertainty evolves with the sample size. To improve it, more distributions could be included, and damage estimation could be added.
The painful transition process from modernism to postmodernism makes its impact felt in the field of globalization as well. Advances in technology have overcome the difficulties experienced in mass production and accessing global markets, enabling the integration of more local markets into the global economy. However, the rapid increase in participants made it difficult to compete in the global market, and the proliferation of different local markets caused cultural differences to become more evident. The study examines the contribution of creative industries and glocalization strategies to the resolution of the global-local conflict, by considering them together. In this study, the findings were analyzed by using the literature review and the survey method together. A total of 310 people, 145 men and 165 women, participated in the survey in Janury 2019. In the case of Turkey, the research shows that there is a positive correlation between the customer experience created by the global brand by considering the cultural, economic and political data of the local society and the level of ad appreciation.
Andrei Paleyes, Henry B. Moss, Victor Picheny
et al.
We present HIghly Parallelisable Pareto Optimisation (HIPPO) -- a batch acquisition function that enables multi-objective Bayesian optimisation methods to efficiently exploit parallel processing resources. Multi-Objective Bayesian Optimisation (MOBO) is a very efficient tool for tackling expensive black-box problems. However, most MOBO algorithms are designed as purely sequential strategies, and existing batch approaches are prohibitively expensive for all but the smallest of batch sizes. We show that by encouraging batch diversity through penalising evaluations with similar predicted objective values, HIPPO is able to cheaply build large batches of informative points. Our extensive experimental validation demonstrates that HIPPO is at least as efficient as existing alternatives whilst incurring an order of magnitude lower computational overhead and scaling easily to batch sizes considerably higher than currently supported in the literature. Additionally, we demonstrate the application of HIPPO to a challenging heat exchanger design problem, stressing the real-world utility of our highly parallelisable approach to MOBO.
Drawing and annotating comic illustrations is a complex and difficult process. No existing machine learning algorithms have been developed to create comic illustrations based on descriptions of illustrations, or the dialogue in comics. Moreover, it is not known if a generative adversarial network (GAN) can generate original comics that correspond to the dialogue and/or descriptions. GANs are successful in producing photo-realistic images, but this technology does not necessarily translate to generation of flawless comics. What is more, comic evaluation is a prominent challenge as common metrics such as Inception Score will not perform comparably, as they are designed to work on photos. In this paper: 1. We implement ComicGAN, a novel text-to-comic pipeline based on a text-to-image GAN that synthesizes comics according to text descriptions. 2. We describe an in-depth empirical study of the technical difficulties of comic generation using GAN’s. ComicGAN has two novel features: (i) text description creation from labels via permutation and augmentation, and (ii) custom image encoding with Convolutional Neural Networks. We extensively evaluate the proposed ComicGAN in two scenarios, namely image generation from descriptions, and image generation from dialogue. Our results on 1000 Dilbert comic panels and 6000 descriptions show synthetic comic panels from text inputs resemble original Dilbert panels. Novel methods for text description creation and custom image encoding brought improvements to Frechet Inception Distance, detail, and overall image quality over baseline algorithms. Generating illustrations from descriptions provided clear comics including characters and colours that were specified in the descriptions.
David Edgerton, Hugo Palmarola, Pedro Álvarez Caselli
En esta entrevista, Edgerton critica el alcance de los estudios CTS (Ciencia, Tecnología y Sociedad) dentro del diseño, apuntando a la redundancia de aplicar perspectivas que resultan obvias para una disciplina que se ocupa de la invención y el uso. Además, señala que debemos abandonar el concepto de “tecnología” y reemplazarlo con términos más descriptivos, precisos y útiles.
The satellite TV revolution in the United Arab Emirates (UAE) in the early 1990s precipitated the proliferation of foreign media broadcasts. Japanese anime dubbed into Arabic became the most-watched content in Emirati households, a trend that continues to date because the Japanese entertainment and digital media industry offers youngsters easy access to and diverse options for anime. This paper provides an overview and analysis of the growing popularity of anime fandoms in the UAE to ascertain the level of commitment, involvement and the moral perceptions of Emirati fans vis-à-vis Japanese pop culture. A focus group discussion was conducted in a leading UAE university among the otaku or aficionados of Japanese anime (males and females). The participant responses offered comprehensive insights into the fandom trends of the region and articulated interesting opinions on Japanese pop culture and digital media accessibility. Notably, the findings of this study suggested that the enthusiasm of this fan following is often obstructed rather than celebrated and thus cannot achieve its potential. Therefore, the study finally contemplates how Emirati otaku and their practices may be better supported in UAE.
Language and Literature, Drawing. Design. Illustration