Luan Vinícius Fiorio, Ivana Nikoloska, Bruno Defraene
et al.
Sound source tracking is commonly performed using classical array-processing algorithms, while machine-learning approaches typically rely on precise source position labels that are expensive or impractical to obtain. This paper introduces a physics-guided variational model capable of fully unsupervised single-source sound source tracking. The method combines a variational encoder with a physics-based decoder that injects geometric constraints into the latent space through analytically derived pairwise time-delay likelihoods. Without requiring ground-truth labels, the model learns to estimate source directions directly from microphone array signals. Experiments on real-world data demonstrate that the proposed approach outperforms traditional baselines and achieves accuracy and computational complexity comparable to state-of-the-art supervised models. We further show that the method generalizes well to mismatched array geometries and exhibits strong robustness to corrupted microphone position metadata. Finally, we outline a natural extension of the approach to multi-source tracking and present the theoretical modifications required to support it.
This article proposes a General Theory of Pluriversal Knowledge (GTPK), advancing beyond classical epistemology, postcolonial critique, and relativist pluralism. It argues that contemporary global crises—ecological, epistemic, technological, and civilisational—are fundamentally knowledge-structural failures produced by hierarchical, monocentric epistemic regimes. Drawing on complexity science, systems theory, indigenous epistemologies, philosophy of science, and meta-intelligence frameworks, the article develops a formal theory explaining how multiple knowledge worlds can coexist without hierarchy while remaining operationally coherent. The concept of pluriversal coherence is introduced as a foundational principle enabling epistemic interoperability across ontologically distinct knowledge systems. The theory reframes knowledge not as representation but as relational enactment across plural realities. The article concludes by outlining implications for science, governance, AI, education, and African and Global South knowledge futures.
This study conducted a meta-analysis of 137 KCI-indexed journal articles on AI general education published in Korea between 2018 and 2025, using natural language processing-based text mining methods. To address the limitations of frequency-based analyses, including contextual loss and researcher subjectivity, the study applied TF-IDF keyword analysis, Sentence-BERT embedding with K-means clustering to identify thematic structures, and GPT-based cluster summarization to interpret the semantic characteristics of each cluster. The results revealed that research on AI general education in Korea is structured into six thematic clusters: instructional design using generative AI, AI literacy and foundational competencies, teacher AI competencies and professional development, effect studies examining learners’ experiences, emotions, and motivation, technology acceptance and attitude exploration, and discussions on AI ethics, responsibility, and sociocultural implications. Among these, studies on generative AI-based instructional design, writing, and critical thinking accounted for the largest proportion, whereas research focusing on ethics, responsibility, and social implications was relatively limited, indicating a practice-oriented research tendency. Analysis of inter-cluster relationships showed a relatively coherent cycle between instructional design and effect studies, while foundational competency education, teacher competency research, and ethics-related studies accumulated in a more fragmented manner. By employing a text mining-based meta-analytic approach, this study systematically maps the structural landscape and semantic network of AI general education research in Korea, providing foundational evidence for future curriculum design, teacher professional development systems, and ethics-oriented AI education policies. Nevertheless, the focus on article abstracts limits the extent to which the full research contexts could be captured, suggesting directions for future studies.
In this paper, I discuss Nowa Ruda and the Kłodzko region as viewed by Karol Maliszewski and represented in his poetry, from his earliest poems written in the second half of the 1980s to his latest poetry collections. My argument revolves around the key concept of a field humanist on which Maliszewski relied to define himself (and his I-speaker). This notion brings together the various social functions Maliszewski performed and the responsibilities he took as a literature scholar, a teacher, a local community member and, above all, a poet producing local verses. These challenges find a suitable generic correspondence in the leporello, an inspiring form as it resists both the writer and the reader since the whole must be first unfolded and studied before attention is eventually devoted to a small fragment the way Maliszewski does.
Ethnology. Social and cultural anthropology, Arts in general
Transformers have defined the state-of-the-art for clinical prediction tasks involving electronic health records (EHRs). The recently introduced Mamba architecture outperformed an advanced Transformer (Transformer++) based on Llama in handling long context lengths, while using fewer model parameters. Despite the impressive performance of these architectures, a systematic approach to empirically analyze model performance and efficiency under various settings is not well established in the medical domain. The performances of six sequence models were investigated across three architecture classes (Transformers, Transformers++, Mambas) in a large Swedish heart failure (HF) cohort (N = 42820), providing a clinically relevant case study. Patient data included diagnoses, vital signs, laboratories, medications and procedures extracted from in-hospital EHRs. The models were evaluated on three one-year prediction tasks: clinical instability (a readmission phenotype) after initial HF hospitalization, mortality after initial HF hospitalization and mortality after latest hospitalization. Ablations account for modifications of the EHR-based input patient sequence, architectural model configurations, and temporal preprocessing techniques for data collection. Llama achieves the highest predictive discrimination, best calibration, and showed robustness across all tasks, followed by Mambas. Both architectures demonstrate efficient representation learning, with tiny configurations surpassing other large-scaled Transformers. At equal model size, Llama and Mambas achieve superior performance using 25% less training data. This paper presents a first ablation study with systematic design choices for input tokenization, model configuration and temporal data preprocessing. Future model development in clinical prediction tasks using EHRs could build upon this study's recommendation as a starting point.
Amidst the growing demand for implementing advanced control and decision-making algorithms|to enhance the reliability, resilience, and stability of power systems|arises a crucial concern regarding the safety of employing machine learning techniques. While these methods can be applied to derive more optimal control decisions, they often lack safety assurances. This paper proposes a framework based on control barrier functions to facilitate safe learning and deployment of reinforcement learning agents for power system control applications, specifically in the context of automatic generation control. We develop the safety barriers and reinforcement learning framework necessary to establish trust in reinforcement learning as a safe option for automatic generation control - as foundation for future detailed verification and application studies.
Modernist propositions long have been understood as atemporal—somehow outside of time—or insistently hailing the future. This temporal framework suppresses the contributions of those excluded from modernist canons, particularly Black women. In this article, visual and material analysis of sculptural works produced in the 1970s and 1980s by U.S. Black women artists Beverly Buchanan, Senga Nengudi, and Betye Saar reveal how Black feminists have engaged with modernist protocols in order to redress cultural erasures of Black women. These practices exemplify <i>Black feminist modernisms</i>, or creative practices that unsettle the racist and sexist logics of dominant cultural institutions. Each of these artists utilizes haptic surfaces as a method for defying institutional modernism’s obfuscation of the past. The analysis focuses on Buchanan’s defiance of memorial erasures, Nengudi’s reenactment of labor, including in its historical forms, and Saar’s adaptation of generational memory-making processes. Ultimately, these artists’ rejection of a “timeless” modernism demands that viewers understand the present moment in relationship to a still-evolving past. In this way, Buchanan, Nengudi, and Saar position the present as an accumulation, rather than transcendence, of historical occurrences.
This paper aims to examine the literary strategies and political perspectives of Somnuek Chusil, a renowned Nora artist in the Southern Thai region. Contrast to recent international and Thai research on Nora dance that focused on the aspect of ritual, social function, and adaptation under the condition of global modernity, the authors’ analysis centers on the noted Nora artist’s lyrical composition, encompassing 40 of lyrics, to understand his political worldview and literary strategy as part of local experience to the changing of Thai society. The findings reveal four language strategies employed by Somnuek—simile, hyperbole, the use of idioms, and incorporation of the Southern Thai dialect. Of particular note is the dialect’s distinctive role in critiquing political figures and instilling a sense of awareness regarding rights, freedom, and democratic citizenship. Despite the diverse interpretations of political concepts in global academia, Somnuek skillfully harnesses various dialects and writing techniques making him being locally competent interlocutor, and ascending to the status of a famous folk artist in southern Thailand.
Joey S. G. Mombarg, Conny Aerts, Timothy Van Reeth
et al.
Gravito-inertial asteroseismology saw its birth from the 4-years long light curves of rotating main-sequence stars assembled by the Kepler space telescope. High-precision measurements of internal rotation and mixing are available for about 600 stars of intermediate mass so far that are used to challenge the state-of-the-art stellar structure and evolution models. Our aim is to prepare for future large ensemble modelling of gravity (g)-mode pulsators by relying on a new sample of such stars recently discovered from the third Data Release of the Gaia space mission and confirmed by space photometry from the TESS mission. This sample of potential asteroseismic targets is about 23 times larger than the Kepler sample. We use the effective temperature and luminosity inferred from Gaia to deduce evolutionary masses, convective core masses, radii, and ages for ~14,000 g-mode pulsators classified as such from their nominal TESS light curves. We do so by constructing two dedicated grids of evolutionary models for rotating stars with input physics from the asteroseismic calibrations of Kepler $γ$ Dor pulsators. We find the new g-mode pulsators to cover an extended observational instability region covering masses from about 1.3 to 9Msun. We provide their mass-luminosity and mass-radius relations, as well as convective core masses. Our results suggest that oscillations excited by the opacity mechanism occur uninterruptedly for the mass range above about 2Msun, where stars have a radiative envelope aside from thin convection zones in their excitation layers. Our evolutionary parameters for the sample of Gaia-discovered g-mode pulsators with confirmed modes by TESS offer a fruitful starting point for future TESS ensemble asteroseismology once a sufficient number of modes is identified in terms of the geometrical wave numbers and overtone for each of the pulsators.
Nadya Serebriakova, Andrew Tkachenko, Sarah Gebruers
et al.
Modern stellar structure and evolution theory experiences a lack of observational calibrations for the interior physics of intermediate- and high-mass stars. This leads to discrepancies between theoretical predictions and observed phenomena mostly related to angular momentum and element transport. Analyses of large samples of massive stars connecting state-of-the-art spectroscopy to asteroseismology may provide clues on how to improve our understanding of their interior structure. We aim to deliver a sample of O- and B-type stars at metallicity regimes of the Milky Way and the Large Magellanic Cloud (LMC) galaxies with accurate atmospheric parameters from high-resolution spectroscopy, along with a detailed investigation of line-profile broadening, for future asteroseismic studies. After describing the general aims of our two Large Programs, we develop dedicated methodology to fit spectral lines and deduce accurate global stellar parameters from high-resolution multi-epoch UVES and FEROS spectroscopy. We use the best available atmosphere models for three regimes covered by our global sample, given its breadth in terms of mass, effective temperature, and evolutionary stage. Aside from accurate atmospheric parameters and locations in the Hertzsprung-Russell diagram, we deliver detailed analyses of macroturbulent line broadening, including estimation of the radial and tangential components. We find that these two components are difficult to disentangle from spectra with signal-to-noise ratios below 250. Future asteroseismic modelling of the deep interior physics of the most promising stars in our sample will improve the existing dearth of such knowledge for large samples of OB stars, including those of low metallicity in the LMC.
In overcoming the structural limitations of university education in the market economy system, this study was required to improve liberal arts education through the design and operation of an art-oriented liberal arts curriculum with a creative and convergent approach. To this end, first, the basis and examples of the need to improve university liberal arts education were examined through prior research on how the liberal arts curriculum system should be implemented to change the paradigm of university education in the digital era. As a methodical alternative to this, a case of curriculum operation was presented as an integrated or comprehensive learning practice to cultivate students' future design and necessary competencies through the design of an art-oriented liberal arts curriculum with a creative and convergent approach. The case of creative and convergent approach ‘Arts and Culture Planning’ liberal arts curriculum design and curriculum operation provides improvement measures through the application of customized teaching methods to foster students' actual career choices and era-required creative and convergence skills amid the current population decline and changes in the social environment after COVID-19.</br>The results of this study suggest that art-oriented liberal arts courses can play a role in opening possibilities for students when it comes to their career development in a way linked to their major. Such courses can also cultivate their aesthetic sensibility, appreciation for culture, and planning capabilities demanded by the times.
I concorsi dell’Accademia dei Virtuosi al Pantheon scandiscono la vita della stessa istituzione a partire dal 1837. La documentazione presente in archivio e le opere lasciate dai concorrenti rappresentano, nonostante le lacune e la qualità discontinua, un nucleo significativo e sostanzialmente inedito del patrimonio accademico. Recentemente l’accademia ha inventariato e catalogato il patrimonio documentale e grafico della sezione di architettura: questo studio, seguendo e provando a implementare i criteri metodologici già utilizzati, si focalizza sulla parte documentale dell’area scultura.
Inlaid art has undergone alternations from the beginning of its existence in Iran until the present era. Companionship in inlaid art can be examined from several perspectives; the first is the association of this art with the nature of its raw materials, which takes on a diverse shape and form due to the characteristics of these materials; second, the role of wood art accompaniment as an art complement to inlaid art from the point of view of technique and procedure, however, the most significant of these are the effects of traditional patterns on inlaid art in terms of design and the developments that occur in the field of contemporary inlay and so far comprehensively has not been purposefully studied. This research is accomplished via a descriptive and analytical methods by the means of library data. The findings of the research indicate that these accompaniments have always been associated with remarkable innovations and developments in contemporary inlaid art, and this research focuses on the analysis of traditional motifs in contemporary inlays in order to achieve changes in the inlaid art by relying on the contemporary artworks of Tehran; in such a way that the influence of traditional motifs in achieving luxurious formulations can be achieved. It is certain that inlaid art, due to the inherent need for role and design, has continuously benefited from the combination of beautiful and executable designs and designs in each period throughout history, and in the contemporary period with artistic developments in Tehran and the presence of prominent artists in the capital. Art has also manifested itself with new, valuable and glorious innovations and formulations that are unprecedented in the history of Iranian inlay.
Research aims:
1. A study of traditional motifs in Iranian inlaid art.
2. An overview on the widespread effects of designs on contemporary Iranian inlay.
Research questions:
1. What is the role of traditional patterns in the "design" of the magnificent works of contemporary inlay?
2. How are the bases for using traditional motifs in contemporary inlay formed?
"Art is the lie that enables us to realize the truth." - Pablo Picasso. For centuries, humans have dedicated themselves to producing arts to convey their imagination. The advancement in technology and deep learning in particular, has caught the attention of many researchers trying to investigate whether art generation is possible by computers and algorithms. Using generative adversarial networks (GANs), applications such as synthesizing photorealistic human faces and creating captions automatically from images were realized. This survey takes a comprehensive look at the recent works using GANs for generating visual arts, music, and literary text. A performance comparison and description of the various GAN architecture are also presented. Finally, some of the key challenges in art generation using GANs are highlighted along with recommendations for future work.
The National Core Arts Standards in general music provide some exciting possibilities for music growth and understanding among our students. For those of us who are still unsure of how to read the standards or implement them in our classrooms, the standards also present some challenges for music educators. This article provides a deeper look into the rationale behind the 2014 National Core Arts Standards for general music, as well as provides an explanation behind how to better understand them and ways to begin using them in the general music setting.
Este ensaio expõe o sentido da proposição especulativa “arte contemporânea é arte pós-conceitual”. Partindo de uma elaboração conceitual do contemporâneo como uma forma disjuntiva do tempo histórico (como ideia, problema, ficção, e realidade globalmente transnacional), ele passa a dar um relato das convergências e mudanças que se reforçam mutualmente no caráter da obra de arte e nas relações sociais dos espaços artísticos. Trata-se da tradução da conferência realizada na Fondazione Antonio Ratti, Villa Sucota, Roma, Itália, em 9 de Julho de 2010.
In this paper, by proposing a generalized $specific~volume$, we restudy the $P-V$ criticality of charged AdS black holes in the extended phase space. The results show that most of the previous conclusions can be generalized without change, but the ratio $\tildeρ_c$ should be $3 \tildeα/16$ in general case. Further research on the thermodynamical phase transition of black hole leads us to a natural interpretation of our assumption, and more black hole properties can be generalized. Finally, we study the number density for charged AdS black hole in higher dimensions, the results show the necessity of our assumption.
Diederik Aerts, Jonito Aerts Arguëlles, Lester Beltran
et al.
The 'conjunction fallacy' has been extensively debated by scholars in cognitive science and, in recent times, the discussion has been enriched by the proposal of modeling the fallacy using the quantum formalism. Two major quantum approaches have been put forward: the first assumes that respondents use a two-step sequential reasoning and that the fallacy results from the presence of 'question order effects'; the second assumes that respondents evaluate the cognitive situation as a whole and that the fallacy results from the 'emergence of new meanings', as an 'effect of overextension' in the conceptual conjunction. Thus, the question arises as to determine whether and to what extent conjunction fallacies would result from 'order effects' or, instead, from 'emergence effects'. To help clarify this situation, we propose to use the World Wide Web as an 'information space' that can be interrogated both in a sequential and non-sequential way, to test these two quantum approaches. We find that 'emergence effects', and not 'order effects', should be considered the main cognitive mechanism producing the observed conjunction fallacies.
El presente artículo tiene como objetivo reflexionar sobre la relación entre la convergencia de medios, responsable de la distribución de contenidos en diferentes formatos, y la multitud comprometida con la producción de informaciones en el espacio urbano. La hipótesis es que la relación entre ellos propicia nuevas experiencias en el espacio y en las relaciones interpersonales. Para probar el alcance de la hipótesis, se optó por el análisis de narrativas colaborativas etiquetadas como prácticas de crowdmapping, que contienen conceptos clave para la reflexión teórica como georeferenciación, mapeado colectivo, espacio híbrido y principalmente la acción de una multitud conectada. Las formas de vida contemporáneas ponene de relieve la pertinencia del concepto de multitud desde la perspectiva de autores como Antonio Negri y Paolo Virno, y de la consecuente disolución del concepto de “pueblo”. De naturaleza plural, desvinculada de una unidad politica o estatal, la multitud encuentra en las medios espacio para actuar de forma no representativa y demuestra, en sus narrativas, los nuevos paradigmas que moldean la sociedad contemporánea, los individuos y sus respectivos espacios. Pensar el espacio urbano posmoderno y sus poéticas, teniendo como presupuesto una cultura de convergencia mediática, implica describir una serie de cambios en relación, sobretodo, a la interacción entre personas y ambientes, así como la producción y el consumo de informaciones.