Hasil untuk "Fine Arts"

Clara Solbes-Borja

Reseña del libro

Ian Olivo Read

This paper explores the intersection of artificial intelligence and higher education administration, focusing on liberal arts colleges (LACs). It examines AI's opportunities and challenges in academic and student affairs, legal compliance, and accreditation processes, while also addressing the ethical considerations of AI deployment in mission-driven institutions. Considering AI's value pluralism and potential allocative or representational harms caused by algorithmic bias, LACs must ensure AI aligns with its mission and principles. The study highlights other strategies for responsible AI integration, balancing innovation with institutional values.

Gang Chen

Issiaka OUEDRAOGO, Goama NAKOULMA & Sylvie KOROGO

Résumé : La crise sécuritaire à laquelle le Burkina Faso est confronté affecte son système éducatif depuis 2016. Elle est à l’origine de la fermeture de plusieurs milliers d’établissements scolaires et du déplacement des élèves de leurs lieux habituels d’habitation vers des zones relativement mieux sécurisées. Dans ces zones d’accueil, leurs besoins éducatifs ne sont pas couverts, ce qui compromet leurs possibilités de poursuite des études. Pour accompagner l’État burkinabè dans la prise en charge de ces besoins d’urgence, des acteurs non étatiques mettent en œuvre des actions en faveur de la scolarisation des EDI. Dans le cadre d’une recherche sur les mécanismes de scolarisation de ces élèves, des enquêtes ont été réalisées dans les villes de Kaya et de Fada N’Gourma. Les résultats révèlent une multiplicité et une diversité de ces acteurs. Certains ont l’expérience de l’intervention dans le secteur humanitaire ou de l’éducation, d’autres en ont dans les deux, tandis qu’il existe des acteurs qui n’ont l’expérience dans aucun de ces domaines. Leurs actions contribuent à la scolarisation de nombreux EDI. Cependant, elles comportent des limites liées aux pratiques d’intervention et à l’insuffisance des aides apportées par rapport à la demande. Leurs interventions prennent peu en compte certains besoins prioritaires pour les EDI. Il est donc indispensable d’améliorer la gouvernance dans le domaine de l’Éducation en Situation d’Urgence (ESU) en vue d’accroître l’efficacité de ces interventions. Mots-clés : Intervention- Acteur non étatique - Scolarisation - EDI – Zone d’accueil

Daniel M. Bot, Jan Aerts

Dimensionality reduction algorithms are often used to visualise high-dimensional data. Previously, studies have used prior information to enhance or suppress expected patterns in projections. In this paper, we adapt such techniques for domain knowledge guided interactive exploration. Inspired by Mapper and STAD, we present three types of lens functions for UMAP, a state-of-the-art dimensionality reduction algorithm. Lens functions enable analysts to adapt projections to their questions, revealing otherwise hidden patterns. They filter the modelled connectivity to explore the interaction between manually selected features and the data's structure, creating configurable perspectives each potentially revealing new insights. The effectiveness of the lens functions is demonstrated in two use cases and their computational cost is analysed in a synthetic benchmark. Our implementation is available in an open-source Python package: https://github.com/vda-lab/lensed_umap.

Zhenyu Xu, Jason P. Fine, Wenling Song et al.

Generalized estimating equations (GEE) are of great importance in analyzing clustered data without full specification of multivariate distributions. A recent approach jointly models the mean, variance, and correlation coefficients of clustered data through three sets of regressions (Luo and Pan, 2022). We observe that these estimating equations, however, are a special case of those of Yan and Fine (2004) which further allows the variance to depend on the mean through a variance function. The proposed variance estimators may be incorrect for the variance and correlation parameters because of a subtle dependence induced by the nested structure of the estimating equations. We characterize model settings where their variance estimation is invalid and show the variance estimators in Yan and Fine (2004) correctly account for such dependence. In addition, we introduce a novel model selection criterion that enables the simultaneous selection of the mean-scale-correlation model. The sandwich variance estimator and the proposed model selection criterion are tested by several simulation studies and real data analysis, which validate its effectiveness in variance estimation and model selection. Our work also extends the R package geepack with the flexibility to apply different working covariance matrices for the variance and correlation structures.

Seta Kürkçüoğlu, Nesibe Özgül Turgay, M. Akif Kılıç et al.

In this study, a preliminary comparative study was conducted for the first time using the DoctorVox device by instructor–performer participants using two different formant patterns in Turkish and Western music. The participants used the DoctorVox device before recordings to practice the selected tonal exercises ascending and descending; they recorded glissando exercises and [a], [e], [i], [o] vocals in a constant studio setting at Week 0 at the start of the study and Week 8 at the end of the study. The data obtained from the measurements were evaluated in the Customized Praat Program in line with the determined parameters, and thus, the results were revealed. In this study, the measured values of fundamental frequency, jitter, shimmer, harmonic noise ratio, pitch values, maximum phonation time, and voice range improved in all objective measurements. The subjective measurement outcomes indicated that participants’ vocal and breathing health was good, their conditions improved, voices warmed rapidly, felt comfortable in high notes, physical and mental bonding grew gradually, and their confidence increased. In addition, participants’ motivation and professional goals improved, such as delivering performances and adding new pieces to their repertoire. Because of the athletic achievements obtained using the selected tonal vocal exercises as a vocal training method in the study, it is believed that it will help to eliminate existing negative thoughts about the use of (Western) vocal exercises that are methodologically supported by scientific data and will contribute to the present literature for vocal studies.

Pablo Meninato

Este artículo explora la contribución de la arquitecta ítalo-brasileña Lina Bo Bardi para crear un urbanismo más equitativo, inclusivo y sostenible. Tras ofrecer una breve reseña biográfica, el ensayo examina algunos de los temas que influenciaron en la trayectoria de Bo Bardi, como sus provocativas reflexiones sobre el feminismo y su interés y fascinación por el "Brasil profundo" a partir de su estancia en la ciudad de Bahía. El argumento central del trabajo es que, adoptando el Centro de Ocio Fábrica SESC Pompéia como caso de estudio, Bo Bardi desarrolló una concepción distinta y original del proyecto urbano. Distanciándose de los postulados del urbanismo moderno, el pensamiento y el diseño de Bo Bardi se centraron en la activación del espacio público a través de actividades y eventos destinados a fortalecer los lazos comunitarios. Bajo este nuevo paradigma, la noción de "calle" se reinterpreta y cambia continuamente. De manera alternativa o simultánea, las calles del SESC Pompéia pueden funcionar como espacios exteriores e interiores, pasarelas a nivel de suelo y elevadas, terrazas solárium y escenarios para performances. Bo Bardi concibió el SESC Pompéia como una “ciudadela de la libertad,” promoviendo la posibilidad de una experiencia urbana más inclusiva, equitativa, multifuncional e innovadora para todos.

Collin Drent, Melvin Drent, Joachim Arts

Production systems deteriorate stochastically due to usage and may eventually break down, resulting in high maintenance costs at scheduled maintenance moments. This deterioration behavior is affected by the system's production rate. While producing at a higher rate generates more revenue, the system may also deteriorate faster. Production should thus be controlled dynamically to trade-off deterioration and revenue accumulation in between maintenance moments. We study systems for which the relation between production and deterioration is known and the same for each system as well as systems for which this relation differs from system to system and needs to be learned on-the-fly. The decision problem is to find the optimal production policy given planned maintenance moments (operational) and the optimal interval length between such maintenance moments (tactical). For systems with a known production-deterioration relation, we cast the operational decision problem as a continuous-time Markov decision process and prove that the optimal policy has intuitive monotonic properties. We also present sufficient conditions for the optimality of bang-bang policies and we partially characterize the structure of the optimal interval length, thereby enabling efficient joint optimization of the operational and tactical decision problem. For systems that exhibit variability in their production-deterioration relations, we propose a Bayesian procedure to learn the unknown deterioration rate under any production policy. Our extensive numerical study indicates significant profit increases of our approaches compared to the state-of-the-art.

Matthew Walmer, Rose Kanjirathinkal, Kai Sheng Tai et al.

The area of temporally fine-grained video representation learning focuses on generating frame-by-frame representations for temporally dense tasks, such as fine-grained action phase classification and frame retrieval. In this work, we advance the state-of-the-art for self-supervised models in this area by re-examining the design of transformer architectures for video representation learning. A key aspect of our approach is the improved sharing of scene information in the temporal pipeline by representing multiple salient entities per frame. Prior works use late-fusion architectures that reduce frames to a single-dimensional vector before modeling any cross-frame dynamics. In contrast, our Multi-entity Video Transformer (MV-Former) processes the frames as groups of entities represented as tokens linked across time. To achieve this, we propose a Learnable Spatial Token Pooling strategy to identify and extract features for multiple salient regions per frame. Through our experiments, we show that MV-Former outperforms previous self-supervised methods, and also surpasses some prior works that use additional supervision or training data. When combined with additional pre-training data from Kinetics-400, MV-Former achieves a further performance boost. Overall, our MV-Former achieves state-of-the-art results on multiple fine-grained video benchmarks and shows that parsing video scenes as collections of entities can enhance performance in video tasks.

D. M. Bot, J. Peeters, J. Liesenborgs et al.

Clustering algorithms are often used to find subpopulations in exploratory data analysis workflows. Not only the clusters themselves, but also their shape can represent meaningful subpopulations. In this paper, we present FLASC, an algorithm that detects branches within clusters to identify such subpopulations. FLASC builds upon HDBSCAN*, a state-of-the-art density-based clustering algorithm, and detects branches in a post-processing step that describes within-cluster connectivity. Two variants of the algorithm are presented, which trade computational cost for noise robustness. We show that both variants scale similarly to HDBSCAN* in terms of computational cost and provide stable outputs using synthetic data sets, resulting in an efficient flare-sensitive clustering algorithm. In addition, we demonstrate the benefit of branch-detection on two real-world data sets.

Mohsen Al-Hajjaj

ركز البحث على الدوافع والاسباب المؤدية الى السقوط من خلال حقل فلسفة التاريخ متعرضا الى أراء اهم فلاسفة التاريخ . ابتدأ البحث بتعريف فلسفة التاريخ وعلاقتها بعلم التاريخ واهدافها العامة . ثم تطرق الى نظريات فلسفة التاريخ التي صبت جهدها لمعرفة القوانين او السنن المتحكمة في حركة التاريخ والعوامل التي تنقل المجتمع من مرحلة الى اخرى . الشق الاخر من البحث هو التفسير الاسلامي لحركة التاريخ واسباب سقوط الدول ابتداء من القران الكريم مرورا بفلسفة الامام علي ()التي كانت اكثر دقة وتفصيلا لعوامل النهوض وملامح الانهيار التي اسماها ( مصارع القرون ) ثم تناول البحث اراء المفكرين المسلمين الذين سبقوا ابن خلدون في هذا الباب .  

Janne Mascha Beuthel

Design researchers and practitioners continuously engage with humans in their work, which can translate into encountering personal stories, challenging questions, and facing expectations. The researcher can be torn between remaining ‘professional’, which is often connoted to being ‘neutral’, and engaging their own emotions, vulnerabilities, and insecurities. This paper presents a soma design process that was informed by the autobiographical experiences of the author. The result is a wearable artifact named ‘The Armor of a Researcher’. The artifact embodies somatic experiences of ‘doing research’ and ‘being a researcher’ during qualitative studies with participants. It is intended to be thought-provoking and points towards reflections on professionalism. Physical materials are assembled into a wearable form, which allows others to engage with them through their own bodies. Finally, themes that The Armor has evoked in others are described; these outline knowledge that the artifact puts forth to HCI.

Dong Lu

Abstract The purpose of the present research is to study the issues of inheritance and promotion of Chinese traditional music culture in college piano education. The research methodology builds on an empirical approach through a survey using a questionnaire for data collection. The present study involved 174 students from six Chinese colleges. Accordingly, students were divided into two groups based on the training approach. The experimental group included 87 students who received education under the previously elaborated program aimed at promoting Chinese traditional music culture; and the control group consisted of 87 students who received piano training under the conventional program. The results showed that for only 8% of the respondents the use of traditional Chinese music is the basis of learning, for 61% this type of music is practically not used. 88% of teachers concluded that there is a need to use Chinese traditional music in education because it displays elements that convey the symbolism of the Chinese people. The teaching criteria were to inform students about the need to apply Chinese national music while playing the piano; to introduce folk compositions for practicing technical elements into instruction; to update the repertoire and build students’ interest. Training based on the aforementioned criteria demonstrated that traditional music has become more popular. In particular, many students in the experimental group began to use this type of music while creating videos and shows (29%), participating in competitions and concerts (25%), and arranging musical compositions (21%). In the control group, students used folk music only while listening to musical compositions in their free time (57%) and teaching private piano lessons (11%). The present study has scientific and practical value as it demonstrates the effectiveness of promoting national music in educational institutions.

Andrea Conti, Luigi Bartolomei

in_bo vol. 13 no. 17 focuses on one of its main themes of interest – the sacred – and investigates it according to the relationship between sacred architecture and design pedagogy in contemporary schools of architecture. Edited by Luigi Bartolomei and Andrea Conti, the issue draws a reflection from the sacred understood as the object of highest expression in architectural projects, to the intrinsic relationship between design pedagogy and sacred, intended as a complex of rituals that constitutes the educational practices in architecture. Authors’ contributions span from case studies of design studios to theoretical reflections, and analysis of educational and professional practices of architects and artists.

Carl-Johannes Johnsen, Tiziano De Matteis, Tal Ben-Nun et al.

The multi-pumping resource sharing technique can overcome the limitations commonly found in single-clocked FPGA designs by allowing hardware components to operate at a higher clock frequency than the surrounding system. However, this optimization cannot be expressed in high levels of abstraction, such as HLS, requiring the use of hand-optimized RTL. In this paper we show how to leverage multiple clock domains for computational subdomains on reconfigurable devices through data movement analysis on high-level programs. We offer a novel view on multi-pumping as a compiler optimization - a superclass of traditional vectorization. As multiple data elements are fed and consumed, the computations are packed temporally rather than spatially. The optimization is applied automatically using an intermediate representation that maps high-level code to HLS. Internally, the optimization injects modules into the generated designs, incorporating RTL for fine-grained control over the clock domains. We obtain a reduction of resource consumption by up to 50% on critical components and 23% on average. For scalable designs, this can enable further parallelism, increasing overall performance.

Mei Chee Leong, Haosong Zhang, Hui Li Tan et al.

Fine-grained action recognition is a challenging task in computer vision. As fine-grained datasets have small inter-class variations in spatial and temporal space, fine-grained action recognition model requires good temporal reasoning and discrimination of attribute action semantics. Leveraging on CNN's ability in capturing high level spatial-temporal feature representations and Transformer's modeling efficiency in capturing latent semantics and global dependencies, we investigate two frameworks that combine CNN vision backbone and Transformer Encoder to enhance fine-grained action recognition: 1) a vision-based encoder to learn latent temporal semantics, and 2) a multi-modal video-text cross encoder to exploit additional text input and learn cross association between visual and text semantics. Our experimental results show that both our Transformer encoder frameworks effectively learn latent temporal semantics and cross-modality association, with improved recognition performance over CNN vision model. We achieve new state-of-the-art performance on the FineGym benchmark dataset for both proposed architectures.

Sérgio M. Rebelo, Mariana Seiça, Pedro Martins et al.

We present ESSYS* Sharing #UC, an audiovisual installation artwork that reflects upon the emotional context related to the university and the city of Coimbra, based on the data shared about them on Twitter. The installation was presented in an urban art gallery of Círculo de Artes Plásticas de Coimbra during the summer and autumn of 2021. In the installation space, one may see a collection of typographic posters displaying the tweets and listening to an ever-changing ambient sound. The present audiovisuals are created by an autonomous computational creative approach, which employs a neural classifier to recognize the emotional context of a tweet and uses this resulting data as feedstock for the audiovisual generation. The installation's space is designed to promote an approach and blend between the online and physical perceptions of the same location. We applied multiple experiments with the proposed approach to evaluate the capability and performance. Also, we conduct interview-based evaluation sessions to understand how the installation elements, especially poster designs, are experienced by people regarding diversity, expressiveness and possible employment in other commercial and social scenarios.

I. Lovtsova, L. Burovkina, Anna Sergeevna Sheshko

The problem of preserving the traditions of academic art and folk culture as part of the intangible cultural heritage of the country is becoming more urgent every year. One of the solutions to this problem is the transfer of knowledge and technology using additional general education programs. Implementation of additional general education programs reveals the practical possibilities of children’s creativity and shows the effectiveness of forms and methods for preserving the intangible cultural heritage through the practical development of techniques and technologies of artistic creation by children, which are based on academic or folk traditions. This, in the authors’ opinion, introduces the scientific novelty of this study. The theoretical basis of pedagogical mastery is studied and the need for a competency-based approach in the implementation of additional education programs on the example of the experience of children’s art schools is shown. In addition, the study substantiates the need for the effective construction of educational and methodological support for educational programs, the actualization and development of teacher’s competencies, as well as the preservation and development of methods containing the basic principles and technologies of the academic foundations of fine arts and folk crafts. Proposals to organize support for the implementation of additional general education programs in the field of fine and decorative arts and folk crafts are made.

K. M. Gulyamov, Kamoliddin Bekhzod