Apoorva Shukla, Sonali G. Choudhari, A. Gaidhane
et al.
Art therapy is used most commonly to treat mental illnesses and can aid in controlling manifestations correlated with psychosocially challenging behaviours, slowing cognitive decline, and enhancing the quality of life. Art therapy can help people express themselves more freely, improve their mental health, and improve interpersonal relationships. The basis of art therapy is established on the idea that people can recover and feel better via artistic expression. This review examines the current research on how active participation in the arts might improve mental health. A detailed literature search was carried out utilizing essential databases such as PubMed, the WHO's mental health database, and Google and Google Scholar. This review study looks into research done on art therapy and its potential advantages for adult mental health rehabilitation. It focuses on visual art therapy since it’s a key to reducing variation within the "creative arts" and defines the peculiar elements and effectiveness of art therapy used by mental health services. It was found that the use of art therapy as an adjunct treatment showed improved mental health in patients.
Digital Storytelling within the School of Visual Studies combines the ancient practices of narrative with new and emerging tools of multimedia environments. The program emphasizes skills in writing, visual communication and design, and production. Like other forms of storytelling, digital storytelling reaches audiences for artistic, educational, and commercial purposes, translating human knowledge and experience into multimedia spaces. In an age of big data and rapidly changing communication environments, translational skills to connect audiences with interdisciplinary knowledge and expressive arts—from public health to climate science to campaigns to video games—are in high demand across business, government, nonprofit and research sectors. Training in the field requires literacy in narrative, multimedia and networked communication, as well as all elements of digital production, including writing, audio and visual production, and design.
Due to the multidisciplinary nature of landscape research, many different systems and methods for landscape identification and classification exist. This paper provides a systematic review of 54 contemporary landscape characterisation approaches from all over the world, with the aim of identifying major methodological strategies. Multivariate statistical analyses revealed segregation of the approaches according to the landscape concept applied, the degree of observer independence and various other factors involved in the landscape characterisation process. Our review confirmed a major distinction between approaches rooted in the natural sciences and approaches rooted in the arts and the humanities. Three substantially different methodological approaches or strategies were identified: 1) ‘holistic’ landscape character assessment approaches, by which visual perception and socio-cultural aspects of the landscape are emphasised; 2) landscape characterisation methods based on a priori selection of geo-ecological and land-use-related properties of the landscape; and 3) biophysical landscape characterisation approaches which rely strongly on statistical analyses in order to identify gradients of variation in the presence and/or abundance of landscape elements and properties. Assessment of landform and the composition of natural and human landscape elements was a central part of all of the reviewed methods. A trend towards increasing observer-independence over time was identified.
This paper proposes a Temporal Complementary Learning Network that extracts complementary features of consecutive video frames for video person re-identification. Firstly, we introduce a Temporal Saliency Erasing (TSE) module including a saliency erasing operation and a series of ordered learners. Specifically, for a specific frame of a video, the saliency erasing operation drives the specific learner to mine new and complementary parts by erasing the parts activated by previous frames. Such that the diverse visual features can be discovered for consecutive frames and finally form an integral characteristic of the target identity. Furthermore, a Temporal Saliency Boosting (TSB) module is designed to propagate the salient information among video frames to enhance the salient feature. It is complementary to TSE by effectively alleviating the information loss caused by the erasing operation of TSE. Extensive experiments show our method performs favorably against state-of-the-arts. The source code is available at this https URL.
Diffusion models are currently the leading generative AI approach used for image generation in e.g. DALL-E and Stable Diffusion. In this talk we relate diffusion models to stochastic quantisation in field theory and employ it to generate configurations for scalar fields on a two-dimensional lattice. We end with some speculations on possible applications.
Distributed as an open source library since 2013, RTAB-Map started as an appearance-based loop closure detection approach with memory management to deal with large-scale and long-term online operation. It then grew to implement Simultaneous Localization and Mapping (SLAM) on various robots and mobile platforms. As each application brings its own set of contraints on sensors, processing capabilities and locomotion, it raises the question of which SLAM approach is the most appropriate to use in terms of cost, accuracy, computation power and ease of integration. Since most of SLAM approaches are either visual or lidar-based, comparison is difficult. Therefore, we decided to extend RTAB-Map to support both visual and lidar SLAM, providing in one package a tool allowing users to implement and compare a variety of 3D and 2D solutions for a wide range of applications with different robots and sensors. This paper presents this extended version of RTAB-Map and its use in comparing, both quantitatively and qualitatively, a large selection of popular real-world datasets (e.g., KITTI, EuRoC, TUM RGB-D, MIT Stata Center on PR2 robot), outlining strengths and limitations of visual and lidar SLAM configurations from a practical perspective for autonomous navigation applications.
Understanding how subsets of items are chosen from offered sets is critical to assortment planning, wireless network planning, and many other applications. There are two seemingly unrelated subset choice models that capture dependencies between items: intuitive and interpretable random utility models; and tractable determinantal point processes (DPPs). This paper connects the two. First, all DPPs are shown to be random utility models. Next, a determinantal choice model that enjoys the best of both worlds is specified; the model is shown to subsume logistic regression when dependence is minimal, and MNL when dependence is maximally negative. This makes the model interpretable, while retaining the tractability of DPPs. A simulation study verifies that the model can learn a continuum of negative dependencies from data, and an applied study using original experimental data produces novel insights on wireless interference in LoRa networks.
Signatures of coupling between an inertial mode in the convective core and a gravito-inertial mode in the envelope have been found in four-year Kepler light curves of 16 rapidly rotating $γ\,$Doradus ($γ\,$Dor) stars. This makes it possible to obtain a measurement of the rotation frequency in their convective core. Despite their similar internal structure and available data, inertial modes have not yet been reported for slowly pulsating B (SPB) stars. We aim to provide a numerical counterpart of the recently published theoretical expressions for the mode-coupling coefficients, $\varepsilon$ and $\tilde{\varepsilon}$. These coefficients represent the two cases of a continuous and a discontinuous Brunt-Väisälä frequency profile at the core-envelope interface, respectively. We used asteroseismic forward models of two samples consisting of 26 SPB stars and 37 $γ\,$Dor stars to infer their numerical values of $\varepsilon$. The asteroseismically inferred values of $\varepsilon$ for the two samples are between 0.0 and 0.34. While $\varepsilon$ is most strongly correlated with the near-core rotation frequency for $γ\,$Dor stars, the fractional radius of the convective core instead provides the tightest correlation for SPB stars. We find $\varepsilon$ to decrease mildly as the stars evolve. Our asteroseismic results for the mode coupling support the theoretical interpretation and reveal that young, fast-rotating $γ\,$Dor stars are most suitable for undergoing couplings between inertial modes in the rotating convective core and gravito-inertial modes in the radiative envelope. The phenomenon has been found in 2.4\% of such pulsators with detected period spacing patterns, whereas it has not been seen in any of the SPB stars so far. (shortened abstract to meet the arXiv limits)
Feedback beyond the grade is an important part of the learning process. However, because of the large student groups, many teachers in higher education are faced with practicalities such as the limited time to prepare and communicate the feedback to individual students. We have set up an experiment, titled Pro-f-quiz, in which over two years 236 students participated and in which the feedback is communicated through an online quiz that activates the students to reflect upon their solution. The system can be set up in a very limited time compared to booking individual time slots. The results show that approximately 85% of the students appreciate the approach with 60% indicating that they reflect more intensively about their work than when the feedback is transmitted traditionally. Moreover, the grade of the students participating in the project was substantially higher than students not participating.
Background: Research on the effects of music education on cognitive abilities has generated increasing interest across the scientific community. Nonetheless, longitudinal studies investigating the effects of structured music education on cognitive sub-functions are still rare. Prime candidates for investigating a relationship between academic achievement and music education appear to be executive functions such as planning, working memory, and inhibition. Methods: One hundred and forty-seven primary school children, Mage = 6.4 years, SD = 0.65 were followed for 2.5 years. Participants were randomized into four groups: two music intervention groups, one active visual arts group, and a no arts control group. Neuropsychological tests assessed verbal intelligence and executive functions. Additionally, a national pupil monitor provided data on academic performance. Results: Children in the visual arts group perform better on visuospatial memory tasks as compared to the three other conditions. However, the test scores on inhibition, planning and verbal intelligence increased significantly in the two music groups over time as compared to the visual art and no arts controls. Mediation analysis with executive functions and verbal IQ as mediator for academic performance have shown a possible far transfer effect from executive sub-function to academic performance scores. Discussion: The present results indicate a positive influence of long-term music education on cognitive abilities such as inhibition and planning. Of note, following a two-and-a-half year long visual arts program significantly improves scores on a visuospatial memory task. All results combined, this study supports a far transfer effect from music education to academic achievement mediated by executive sub-functions.
Visual imagery is the most important part of game design. Game designers should pay particular attention so that the visual character of the game can be effectively realized and able to convey the depth of its visual meanings. Taking use of the widespread fear of the Indonesian Ghost's appearance, the game is able to present challenges to its players. This study aims to develop the creation of character designs, especially by elevating visual images of Indonesian ghosts into visual characters' in-game media. The method for designing Indonesian ghost characters is to dismantle the visual image of Indonesian ghost characters in the Dreadeye VR game. The strategy is to consider the following three components: (1) the matrix of shapes, (2) the costume matrix, and (3) the matrix of traits. All three were analyzed with the approach of manga matrix theory. This research has led to the emergence of relatively distinct ghost figures that are frequently feared by Indonesians, such as pocong, kuntilanak, and tuyul. By examining the matrices of the shape, costume, and nature of each character of the three Indonesian ghosts, it is possible to conclude that to create visual characters of Indonesian ghosts, game designers must identify these three components, while the contribution of this research is to provide a visual image analysis model including shape imagery, costume imagery, and traits imagery of Indonesian ghosts used in the Dreadeye VR Game in Indonesia.
Art is a defining element of urban culture through creative dynamics that reflect territorially embedded mechanisms but also particular social and cultural processes. Public art presents us with the possibility of unmediated social interaction that leads to greater access over the production and use of urban public space. Public art’s presence in the urban space is dynamic and interactive that communicates the complex forms of globalization, cultural hybridity, and plurality in contemporary daily life—where we experience politics. Through a multi-disciplinary lens, that combines urban studies, visual studies, sociology, artistic research, art history and political philosophy, this issue maps the contemporary landscape of public art to capture art’s critical place in the reified politics of the urban space. The aim is not to provide an exhaustive description of politics of arts in the public spaces but rather to provisionally reconcile the lack of a dialectical perspective in the critical discursive tools of the scholarship on urban public art.
En este fotoensayo, presentamos el desarrollo de la acción
Tetas Diversas
, realizada durante el mes de octubre de 2020 con alumnado del Grado de Maestro/a en Educación Primaria de la Facultad de Magisterio de la Universitat de València. Esta acción forma parte de un proceso de investigación para analizar y valorar el papel de las acciones artísticas en los procesos de sensibilización respecto a cuestiones de identidad de género y diversidad sexual. La experiencia consiste en la reflexión sobre la diversidad de nuestros cuerpos desde una mirada ecofeminista para reivindicar la necesidad de una institución más humanizada, naturalizada, igualitaria, respetuosa con la diversidad e inclusiva. Esta reflexión encarnada emplea el modelado de macetas de barro antropomorfas inspiradas en los trabajos de la artista Emma Low como forma de enfrentarnos a las experiencias personales de nuestro cuerpo. Los resultados consisten en múltiples acciones de sensibilización a través de la entrega de micro relatos que acompañan a estos objetos a personal docente e investigador o de administración y servicios de la Universidad.