Hasil untuk "Visual arts"

A. Bagnoli

Antoine Aerts

Accurate, global Potential Energy Surfaces (PES) expressed in sum-of-products (SOP) form are a prerequisite for efficient high-dimensional quantum dynamics simulations using the MCTDH method. This work introduces a methodology for constructing such surfaces by combining hierarchical sparse grid sampling with a single-layer neural network using sinusoidal activation functions (sinNN). The sparse grid strategy provides a rigorous, unbiased discretization of the configuration space, enabling systematic improvability of the PES fidelity, where accuracy is strictly controlled by the refinement level, while successfully mitigating the curse of dimensionality. The sinNN fitting approach leverages a trigonometric factorization identity to maintain a compact SOP form, offering superior numerical stability compared to standard exponential-based networks (expNN) for the systems investigated. The flexibility of the sparse grid methodology is demonstrated through a dual-reference strategy, where grids centered on distinct isomers are merged to eliminate topological bias. This optimized sampling yields a global PES that reproduces fundamental vibrational transition energies for both trans- and cis-HONO with spectroscopic precision (< 2.5 cm-1) and high data efficiency. Finally, the methodology is applied to fit potential energies computed via the AI-enhanced quantum mechanical method AIQM2. The resulting AIQM2-based PES for HONO reproduces experimental vibrational frequencies with a root mean square deviation of about 16 cm-1, a performance comparable to high-level ab initio methods. The robustness of the approach is further confirmed on larger molecules, formic acid (HCOOH) and carbamic acid (H2NCOOH), establishing the combination of sparse grid sampling and sinNN fitting as a powerful, automated tool for generating topologically sound, spectroscopic-quality potential energy surfaces.

Aditya Jain, Ramta Bansal, Avnish Kumar et al.

Background: Reaction time (RT) is a measure of the response to a stimulus. RT plays a very important role in our lives as its practical implications may be of great consequences. Factors that can affect the average human RT include age, sex, left or right hand, central versus peripheral vision, practice, fatigue, fasting, breathing cycle, personality types, exercise, and intelligence of the subject. Aim: The aim was to compare visual RTs (VRTs) and auditory RTs (ARTs) on the basis of gender and physical activity levels of medical 1st year students. Materials and Methods: The present cross-sectional study was conducted on 120 healthy medical students in age group of 18–20 years. RT for target stimulus that is, for the beep tone for measuring ART, and red circle for measuring VRT was determined using Inquisit 4.0 (Computer Software) in the laptop. The task was to press the spacebar as soon as the stimulus is presented. Five readings of each stimulus were taken, and their respective fastest RT's for each stimuli were recorded. Statistical analysis was done. Results: In both the sexes’ RT to the auditory stimulus was significantly less (P < 0.001) as compared to the visual stimulus. Significant difference was found between RT of male and female medical students (P < 0.001) as well as between sedentary and regularly exercising healthy medical 1st year students. Conclusion: The ART is faster than the VRT in medical students. Furthermore, male medical students have faster RTs as compared to female medical students for both auditory as well as visual stimuli. Regularly exercising medical students have faster RTs when compared with medical students with sedentary lifestyles.

Miguel Angel Hernández

Reseña

Cinzia Cattin

Enamul Hoque, Mohammed Saidul Islam

Natural language and visualization are two complementary modalities of human communication that play a crucial role in conveying information effectively. While visualizations help people discover trends, patterns, and anomalies in data, natural language descriptions help explain these insights. Thus, combining text with visualizations is a prevalent technique for effectively delivering the core message of the data. Given the rise of natural language generation (NLG), there is a growing interest in automatically creating natural language descriptions for visualizations, which can be used as chart captions, answering questions about charts, or telling data-driven stories. In this survey, we systematically review the state of the art on NLG for visualizations and introduce a taxonomy of the problem. The NLG tasks fall within the domain of Natural Language Interfaces (NLI) for visualization, an area that has garnered significant attention from both the research community and industry. To narrow down the scope of the survey, we primarily concentrate on the research works that focus on text generation for visualizations. To characterize the NLG problem and the design space of proposed solutions, we pose five Wh-questions, why and how NLG tasks are performed for visualizations, what the task inputs and outputs are, as well as where and when the generated texts are integrated with visualizations. We categorize the solutions used in the surveyed papers based on these "five Wh-questions." Finally, we discuss the key challenges and potential avenues for future research in this domain.

Alexander De Man

This article reviews how the concept of “diaspora cinema” has featured in academic discourses over the past 30 years, examining its underpinning paradigms. In the wake of a transnational and postcolonial shift within film studies, “diaspora cinema” has been increasingly understood in its imbrication with Third Cinema, postcolonial cinema, transnational cinema, accented cinema, intercultural cinema, cinema of transvergence, etc. While critically mapping out these descriptive conceptualisations and models, this article advances an understanding of “diaspora cinema” as an instrumental framework to grasp how diaspora identities, cultures, and spaces are discursively co-constructed through cinematic practices, rather than as a cinematic category per se.

Maria Pagès Rovira, Marina Rof Cabezas

Tras una visita a los estudios de Disney en 1930, Sergei Eisenstein escribió varios textos sobre una característica que detectó en el cine de animación del momento: la plasmaticidad (Plasmaticness). Con este adjetivo intentó definir la capacidad que tienen los cuerpos y los objetos en animación de alterar su forma original a lo largo del relato. Recientemente, algunos autores (Cook, 2018; Väliaho, 2017; Rebecchi, 2020) han desempolvado estos textos y han analizado la animación y sus subproductos a través de la plasticidad propuesta por Eisenstein. Este texto persigue analizar producciones de todos los tiempos del cine de animación para ver si la presencia de la plasticidad ha disminuido o ha aumentado. La intención es saber si este rasgo que Eisenstein vio como característico de la animación de los inicios se mantiene a través del tiempo y si aún está presente en las producciones actuales.

Tom Brown

Abraham Lincoln is a towering figure in American popular consciousness, one who acts as a rich and complex motif and metaphor across its cinema history. This essay is broad-ranging in considering Hollywood’s Lincoln but places particular emphasis on ‘classical’ representations. Its primary aim is to consider the cinematic uses of Lincoln (Lincoln as embedded in the style and rhetoric of a range of films) but a minor thread running through is why Lincoln and which Lincoln is called upon at different points of US movie history. The essay distinguishes itself from previous accounts by combining the analysis of the flesh and blood incarnation of the president’s peculiar physicality with a consideration of the literal and metaphoric solidity of the Lincoln memorial. A final section conveys the sixteenth president’s symbolic power by, paradoxically, revealing it in films that are not even about Lincoln. Lincoln is one of the Greatest Men of Vision™ in US history. In It’s a Wonderful Life (Frank Capra, 1946) and Bigger than Life (Nicholas Ray, 1956), a portrait and a verbal invocation, respectively, connect to themes of hubris and the tensions that ensue when the visions of frustrated ordinary men go too far.

Sander Aarts, David B. Shmoys

The hitting set problem is a well-known NP-hard optimization problem in which, given a set of elements and a collection of subsets, the goal is to find the smallest selection of elements, such that each subset contains at least one element in the selection. Many geometric set systems enjoy improved approximation ratios, which have recently been shown to be tight with respect to the shallow cell complexity of the set system. The algorithms that exploit the cell complexity, however, tend to be involved and computationally intensive. This paper shows that a slightly improved asymptotic approximation ratio for the hitting set problem can be attained using a much simpler algorithm: solve the linear programming relaxation, take one initial random sample from the set of elements with probabilities proportional to the LP-solution, and, while there is an unhit set, take an additional sample from it proportional to the LP-solution. Our algorithm is a simple generalization of the elegant net-finder algorithm by Nabil Mustafa. To analyze this algorithm for the hitting set problem, we generalize the classic Packing Lemma, and the more recent Shallow Packing Lemma, to the setting of weighted epsilon-nets.

Izis Tomass

De que modo o movimento nos afeta? Por que meios acomodamos em nós mesmos as formas que sentimos, que testemunhamos, e como elas dialogam com as acepções que carregamos conosco do que seja a dança? Seriam elas óbvias? E quanto às formas de orientação racional e moderada, o que justifica as suas presenças nesta arte? Em que medida tal prescrição nos permeia ao emitirmos um juízo acerca de quaisquer gêneros de dança? Neste artigo traçamos brevemente a via que nos leva a uma das origens dessa orientação, procurando evidenciar que essa prescrição não é destituída de história nem de objetivos sociais, políticos e morais bem delineados.

Drawn from the author’s PhD, and originally published in Images Documentaires in 2000, this article presents an incisive portrait of the complex political and institutional history that led to the establishment of film education within the curriculum in French secondary schools. Mounting a detailed account of the nuances and successive developments within the field, this essay examines the chronology – starting within a post-war context – through which the successive influences of ciné-clubs, teachers, television, political movements and government interventions have shaped the form of curricular school-based film education in France today.

Valentin D. Ivanov

Arts are a seamless way to introduce the general public to both basic and more sophisticated astronomical concepts. The visual richness of astronomy makes it attractive and easily incorporated in painting and literature. Astronomy is the only science with a muse - Urania - implying that, at least in the eyes of the ancients, it was an art itself. I review some less well known representation of astronomical concepts in literature with potential application in education.

Diederik Aerts

In this article we solve this ancient problem of perfect tuning in all keys and present a system were all harmonies are conserved at once. It will become clear, when we expose our solution, why this solution could not be found in the way in which earlier on musicians and scientist have been approaching the problem. We follow indeed a different approach. We first construct a mathematical representation of the complete harmony by means of a vector space, where the different tones are represented in complete harmonic way for all keys at once. One of the essential differences with earlier systems is that tones will no longer be ordered within an octave, and we find the octave-like ordering back as a projection of our system. But it is exactly by this projection procedure that the possibility to create a harmonic system for all keys at once is lost. So we see why the old way of ordering tones within an octave could not lead to a solution of the problem. We indicate in which way a real musical instrument could be built that realizes our harmonic scheme. Because tones are no longer ordered within an octave such a musical instrument will be rather unconventional. It is however a physically realizable musical instrument, at least for the Pythagorean harmony. We also indicate how perfect harmonies of every dimension could be realized by computers.

Yorel Lashley, Erica Halverson

Abstract This article reviews the field of research and practice for arts Social-Emotional Learning (SEL) assessment. We propose areas and types of research that are needed and share the University of Wisconsin–Madison Community Arts Collaboratory as a model of mixed methodological approaches and results for developing and implementing assessments of arts SEL outcomes. The Collaboratory includes four different programs and curricula in creative writing/drama, dance, drumming, and visual arts. In light of the recent growth in SEL as valued school-based instructional goals, this article has implications for school administrators and educators as they seek to identify and analyze student-derived arts SEL data, and for policy makers who need researched-based support for allocating more resources to the arts as powerful sources of SEL data about teaching and learning.

Matt Omasta, M. Graham, Stephanie L Milling et al.

Abstract Arts education advocates sometimes point to extrinsic benefits of arts learning, including Social Emotional Learning (SEL). This study considers if and how the National Core Arts Standards (NCAS) in dance, media arts, music, theater, and visual art may align with SEL standards adopted by the state of Illinois, upon which other SEL standards have been modeled. A team of arts education experts coded 15,500 intersections of arts standards & SEL goals. They found a great deal of indirect alignment between the NCAS and SEL objectives, but direct alignment was rare. As the types and degrees of alignment varied by discipline, broad discussions of “arts education” that assume similar types of SEL happens in similar ways in all arts disciplines are problematic. Given the generally indirect alignment of the NCAS and SEL goals, the authors recommend that educators who wish to pursue both arts learning and SEL goals engage in conscious planning to ensure both types of learning occur. From a theoretical, standards-based perspective it seems unlikely that SEL will automatically take place in arts learning scenarios without deliberate planning. While recognizing the potential for deliberately structured lessons to promote both arts learning and SEL, the authors caution against advocating for arts education programs primarily on the basis of presumed extrinsic benefits such as SEL.

Z. Moula, V. Karkou, J. Powell

ABSTRACT Background: Arts therapies are increasingly being adopted within schools to alleviate and prevent a wide range of children’s difficulties. Such therapies help to facilitate personal change and growth through arts media; visual arts, music, drama, dance and movement. Methods: This study aims to investigate the child-focused process and outcomes of an arts therapies intervention through child-reported questionnaires, interviews, participant observations, arts-work and biomarkers. The participants are 64 primary school children with mild emotional and behavioural difficulties. Expected results: To explore a) whether all components of the study (i.e. recruitment, randomisation, follow-up) can work together in a larger trial; b) the children's evaluations of arts therapies;c) the impact on children's wellbeing, quality of life and sleep; d) the sample size calculations and cost evaluations for future research. This is the first study to embrace all arts therapies as one research domain with a clear focus on children’s verbal, non-verbal and physical responses.

C. Aerts

Yearslong time series of high-precision brightness measurements have been assembled for thousands of stars with telescopes operating in space. Such data have allowed astronomers to measure the physics of stellar interiors via nonradial oscillations, opening a new avenue to study the stars in the Universe. Asteroseismology, the interpretation of the characteristics of oscillation modes in terms of the physical properties of the stellar interior, brought entirely new insights in how stars rotate and how they build up their chemistry throughout their evolution. Data-driven space asteroseismology delivered a drastic increase in the reliability of computer models mimicking the evolution of stars born with a variety of masses and metallicities. Such models are critical ingredients for modern physics as a whole, because they are used throughout various contemporary and multidisciplinary research fields in space science, including the search for life outside the solar system, archaeological studies of the Milky Way, and the study of single and binary supernova progenitors, among which are future gravitational wave sources. The specific role and potential of asteroseismology for those modern research fields are illustrated. The review concludes with current limitations of asteroseismology and highlights how they can be overcome with ongoing and future large infrastructures for survey astronomy combined with new theoretical research in the era of high-performance computing. This review presents results obtained through major community efforts over the past decade. These breakthroughs were achieved in a collaborative and inclusive spirit that is characteristic of the asteroseismology community. The review's aim is to make this research field accessible to graduate students and readers coming from other fields of physics, with incentives to join future applications in this domain of astrophysics.

Mubariz Zaffar, Ahmad Khaliq, Shoaib Ehsan et al.

Visual Place Recognition (VPR) has seen significant advances at the frontiers of matching performance and computational superiority over the past few years. However, these evaluations are performed for ground-based mobile platforms and cannot be generalized to aerial platforms. The degree of viewpoint variation experienced by aerial robots is complex, with their processing power and on-board memory limited by payload size and battery ratings. Therefore, in this paper, we collect $8$ state-of-the-art VPR techniques that have been previously evaluated for ground-based platforms and compare them on $2$ recently proposed aerial place recognition datasets with three prime focuses: a) Matching performance b) Processing power consumption c) Projected memory requirements. This gives a birds-eye view of the applicability of contemporary VPR research to aerial robotics and lays down the the nature of challenges for aerial-VPR.

Marianne Mansour, Andrew J. Martin, M. Anderson et al.