ABSTRACT
In this demo, we introduce a web-based misinformation detection system PANACEA on COVID-19 related claims, which has two modules, fact-checking and rumour detection. Our fact-checking module, which is supported by novel natural language inference methods with a self-attention network, outperforms state-of-the-art approaches. It is also able to give automated veracity assessment and ranked supporting evidence with the stance towards the claim to be checked. In addition, PANACEA adapts the bi-directional graph convolutional networks model, which is able to detect rumours based on comment networks of related tweets, instead of relying on the knowledge base. This rumour detection module assists by warning the users in the early stages when a knowledge base may not be available. © 2023 Association for Computational Linguistics.
ABSTRACT
The lack of literature on online art therapy and research participants' remarks about feeling underprepared to transition to teletherapy underscores that more research must be conducted on the subject. Going forward, graduate-level coursework in the field should address virtual art therapy and training on how to conduct art therapy online should be implemented. Other opportunities to learn about virtual therapy may include consulting with other clinicians and completing online training programs for tele counselling. This chapter offers suggestions and raises ethical considerations for a tele art therapy practice. Online approaches to art therapy are novel and it uses the terms virtual, online, and tele art therapy interchangeably. Tele art therapy, a subset of teletherapy, emerged in the late 1990s. The bulk of art therapy literature written before the COVID-19 pandemic focuses on implementing online computer programs that can be used to facilitate art therapy and adapting analogue art therapy practices to suit online platforms. In contrast, tele art therapy literature published during the pandemic includes surveys and descriptions of art therapy programs and services developed in response to stay-at-home orders. To conclude, the chapter offers suggestions and raise ethical considerations for online art therapy practice. (PsycInfo Database Record (c) 2023 APA, all rights reserved)
ABSTRACT
The impact of COVID-19 on the way of consuming art has led to changes in behavior to-wards more responsible and sustainable models. Art continues to be a fundamental part of people's lives, and significantly influences the quality of life, both in the educational and work environment. During confinement, the people who have been able to consume art have done so according to different needs and contexts. However, art, beyond its social benefits, has a direct implication both in sustaina-bility and in the business world. This work aims to know the consumption of art during the pandemic and its relationship with social and business responsibility. The methodological approach is quantitative and was based on an ad hoc questionnaire in which a total of 308 people participated. From the results it is clear that through the consumption of art responsible behaviors can be generated in companies. In addition, the relationship established between art and business success is highlighted, as well as the involvement and responsibility in sustainability.
ABSTRACT
This chapter discusses the format of the International Program of Art Therapy in Thailand (IPATT) program before and during the COVID pandemic. A survey will contrast the strengths and weaknesses of online learning as experienced by IPATT students who participated in the program in-person as well as online. The IPATT studio is equipped with audio-visual aids for instructors to present art therapy theories and a studio working area with a wide assortment of art materials that allow students to work experientially. In addition to art therapy education, having students in the studio also gives them opportunities to learn relational literacy inside and outside class time, such as confronting or allying, deepening or skipping, and encouraging or letting go. The student survey that contrasted in-person and online classroom experiences revealed that face-to-face teaching gets a higher score in 3 out of 9 quality sub-categories;most aspects remain the same in both classroom settings. There are advantages and disadvantages to sharing art and personal experiences online, where group dynamics can be different, benefiting some group members but not others. While there is a preference for face-to-face education, the small student survey shows that most IPATT students accept online education as an alternative. (PsycInfo Database Record (c) 2023 APA, all rights reserved)
ABSTRACT
The use of machine learning and data-driven methods for predictive analysis of power systems offers the potential to accurately predict and manage the behavior of these systems by utilizing large volumes of data generated from various sources. These methods have gained significant attention in recent years due to their ability to handle large amounts of data and to make accurate predictions. The importance of these methods gained particular momentum with the recent transformation that the traditional power system underwent as they are morphing into the smart power grids of the future. The transition towards the smart grids that embed the high-renewables electricity systems is challenging, as the generation of electricity from renewable sources is intermittent and fluctuates with weather conditions. This transition is facilitated by the Internet of Energy (IoE) that refers to the integration of advanced digital technologies such as the Internet of Things (IoT), blockchain, and artificial intelligence (AI) into the electricity systems. It has been further enhanced by the digitalization caused by the COVID-19 pandemic that also affected the energy and power sector. Our review paper explores the prospects and challenges of using machine learning and data-driven methods in power systems and provides an overview of the ways in which the predictive analysis for constructing these systems can be applied in order to make them more efficient. The paper begins with the description of the power system and the role of the predictive analysis in power system operations. Next, the paper discusses the use of machine learning and data-driven methods for predictive analysis in power systems, including their benefits and limitations. In addition, the paper reviews the existing literature on this topic and highlights the various methods that have been used for predictive analysis of power systems. Furthermore, it identifies the challenges and opportunities associated with using these methods in power systems. The challenges of using these methods, such as data quality and availability, are also discussed. Finally, the review concludes with a discussion of recommendations for further research on the application of machine learning and data-driven methods for the predictive analysis in the future smart grid-driven power systems powered by the IoE.
ABSTRACT
Nitsun was surprised that these pictures evoked extreme reactions. Perhaps less well known is that throughout his career as a psychologist Nitsun has also been a painter, exhibiting and selling his work to an enthusiastic audience. Morris Nitsun is well known as a consultant psychologist, psychotherapist and group analyst;his publications include the seminal work I The Anti-Group i , published in 1996, I The Group as an Object of Desire i (2006) and I Beyond the Anti-Group i (2015). This "artist's matrix" gave Nitsun the impetus to create more pictures in anticipation of the next group exploration. [Extracted from the article] Copyright of Journal of Analytical Psychology is the property of Wiley-Blackwell and its content may not be copied or emailed to multiple sites or posted to a listserv without the copyright holder's express written permission. However, users may print, download, or email articles for individual use. This may be abridged. No warranty is given about the accuracy of the copy. Users should refer to the original published version of the material for the full . (Copyright applies to all s.)
ABSTRACT
Graphic report is an image for the representation and analysis of phenomena or events. It configures its production from the representation of subjectivities, encounters and interactions of a col-lective action, aiming to reflect on contextualised flows and synergies. From the project Art and Health, of Organismo Autonomo Madrid Salud (2021), three graphic reports have been developed in these meetings: 1) Abrazos Interrumpidos project, 2) the World Mental Health Day meeting and 3) Building a Compassionate community meeting. In these health settings, especially since the pandemic period that promoted a multitude of movements from physical to online processes, these strategies can emphasise the sense of community and the visibility of links between participants. This article aims, from these cases, to expand on the keys presented in previous studies on this subject, analysing how these visual strategies expand their potencies for a post-COVID art mediation. In this way, extended characteristics are found in these non-face-to-face productions, that expand the possibilities of reportage in contexts of artistic mediation and community health.
ABSTRACT
Teaching and learning took on new meaning at the onset of the COVID-19 pandemic, specifically for those programs not designed for online course delivery. While some accredited graduate art therapy programs already offered online learning and low residency options when the COVID pandemic hit, most were designed for in-person experiential learning with an art studio space. The author, an instructor at Drexel University in Philadelphia, PA, U.S., was preparing to teach a content course that relied on art-based experientials, one of the "signature" pedagogies in art therapy education. She had to rebuild the course with careful attention to various modes of communication to hold a safe learning space. This chapter outlines and exposes pedagogical, technological, and personal rationale behind her choices. It provides new knowledge or aspects to consider when making changes to course delivery post-pandemic. Overall, the chapter aims to inspire the readers to reconsider the philosophies of teaching and how one can creatively and effectively meet the students where they are in their cycle of learning, whether one teaches online, face-to-face, or a hybrid of the two. (PsycInfo Database Record (c) 2023 APA, all rights reserved)
ABSTRACT
Supervision in art therapy is a relationship of learning. It provides opportunities for individuals less experienced in the field to reflect about their practicum work under the guidance of someone more experienced. This chapter covers the psychological effects of virtual art therapy interventions, such as through videoconferencing, which increased with the arrival of the COVID pandemic. It examines the complex ideas of virtual art psychotherapy and its virtual healing qualities since "[i]n analytical psychotherapy ... the main pivot of treatment is transference". Just as Schaverien describes the transference of past experiences as being made "live", the chapter describes how virtual art therapy is "live-online". The interaction with clients through virtual means provides the therapists with new opportunities, such as meeting clients in their own space or allowing a digital method, like the Zoom Whiteboard, for clients to create art without having to buy art materials. The use of the Schaverien Talisman and Scapegoat concepts can be applied in a more intimate way by meeting clients virtually at their own home. Thus, with the added virtual element to therapy, we are squaring the Schaverien triangle. (PsycInfo Database Record (c) 2023 APA, all rights reserved)
ABSTRACT
A Psychotherapist Paints is a unique account of an internationally known psychotherapist and group analyst's struggle to bring together his psychological experience and his interests and talent as an artist. This book describes a body of painting that was responsive to a major existential challenge, the COVID-19 pandemic, but which also comes from deeply personal experience;the paintings are a mirror of life through the decades. These paintings, fifty of which are included here in full color, were mainly presented online to groups both small and large, who were invited to participate in a dialogue that became a vital part of the developing project. The value of this dialogue is reflected in the author's concept of the "artist's matrix", describing the social context in which an artist produces and presents their work. The paintings, together with the autobiographical narrative and the groups' generativity, combine to produce a moving testament to our times. Intrinsic to A Psychotherapist Paints is a question about what makes us creative and how creativity transforms our lives. The result is a work of both artistic and psychological power that will inspire psychotherapists, art psychotherapists and artists themselves, and will point to exciting new possibilities in all these fields. (PsycInfo Database Record (c) 2023 APA, all rights reserved)
ABSTRACT
Digital community for art therapists retains lasting principles grounded in a rich history of connection and innovation. Virtual engagement within the field continues to forge strong bonds that unite our professional need for belonging, support, and knowledge online. As technology grows and develops so art therapy's use of its tools, platforms, and applications for community, engagement, and practice. Art therapists have come a long way from the field's small beginnings and activity online. This chapter begins with an overview of the importance of digital communities for the field of art therapy and touch upon past, present, and an imagining of future developments. It presents examples that highlight the sustaining impact and implications of digital community for emerging and practicing art therapists, including how the COVID pandemic shed new light and considerations about the necessity of online connection for the field. A time capsule experiment explores what digital community might look like for art therapists by 2030. With time capsule responses having been collected at the beginning of 2020, some of the predictions have already become reality through the necessities imposed by the COVID pandemic, such as extensive use of videoconferencing to deliver art therapy in a time of social distancing. (PsycInfo Database Record (c) 2023 APA, all rights reserved)
ABSTRACT
From 2005 to 2017, William E Massie held the position of Architect-in-Residence/Head of Department at Cranbrook. Making is in Massie's lifeblood and his tenure was characterised by students making larger-scale constructions. Dismantling the rather insular personal studio, Massie reintroduced a communal studio culture where students learn from each other and create in mutual association.
ABSTRACT
The author--in the role of one teacher observing another--documented a spring 2021 remote introductory art history course during the COVID-19 pandemic when graduate student teaching assistants called a campus-wide strike. Forced to improvise, the professor replaced formal analysis papers and exams with an ungraded journal. Drawing from the content of these journals, notes from the Zoom classes, and email correspondence with the professor, the author explicates how students took this journal assignment as an invitation to respond personally to the course content, and as an opportunity to grapple with their own identities. These journals allowed students to use art to explore similarities and differences freely across culture, space, and time. With the traditional requirement for an academic argument temporarily on pause, the author raises questions that characterize our present day: how to encourage a world that accepts different identities without hostility.
ABSTRACT
This study examines how virtual reality images are used in contemporary theatre. Modern technologies get into various areas of life including the theatrical environment. Therefore, the study of the role of virtual reality in contemporary theatre is crucial for the qualitative understanding of the tendencies in development of the contemporary theatre scene in the context of the development of contemporary art. This determines the relevance of this study and subsequent academic research in this field as well. The purpose of this study is to assess the degree of influence of modern technologies on creating virtual reality in the development of theatrical art. The leading approach for this study is a combination of a systematic study of the main trends in the creation of virtual reality within the framework of the development of modern technologies and the logical construction of conclusions retrieved from the results of this study. The main results obtained in this study are supposed to be the identification of the main areas for creating virtual reality in the activities of contemporary theatres and changes in the work of theatre groups during the COVID-19 pandemic. Prospects for subsequent academic research in this field are determined by the increasing usage of modern technologies for creating virtual reality within the framework of the modern development of theatrical culture and the need for a deep study of this factor as the one that defines the prospects for the technological development of the contemporary theatre scene. The practical significance of this study lies in the possibility of using its results obtained to assess the role and place of modern technologies for creating virtual reality in contemporary theatre. © 2022 Association for Computing Machinery.
ABSTRACT
Deep learning (DL) approaches for image segmentation have been gaining state-of-the-art performance in recent years. Particularly, in deep learning, U-Net model has been successfully used in the field of image segmentation. However, traditional U-Net methods extract features, aggregate remote information, and reconstruct images by stacking convolution, pooling, and up sampling blocks. The traditional approach is very inefficient due of the stacked local operators. In this paper, we propose the multi-attentional U-Net that is equipped with non-local blocks based self-attention, channel-attention, and spatial-attention for image segmentation. These blocks can be inserted into U-Net to flexibly aggregate information on the plane and spatial scales. We perform and evaluate the multi-attentional U-Net model on three benchmark data sets, which are COVID-19 segmentation, skin cancer segmentation, thyroid nodules segmentation. Results show that our proposed models achieve better performances with faster computation and fewer parameters. The multi-attention U-Net can improve the medical image segmentation results. © 2022 IEEE.
ABSTRACT
Response art is images made by art therapists to support their work. It is widely used in practice and supervision to contain challenging material experienced in session, explore and identify deeper meaning including countertransference, to conceptualize treatment and to demonstrate understanding and meaning to clients and others. Response art carries meaning whether it is used in person or in a video session. The challenges of the COVID-19 pandemic brought impediments to in-person verbal exchanges in traditional therapy and supervision and offered opportunities to expand our communication skills in creative ways. In this article the author encourages art therapists to turn to their own images. Examples of response art contribute to the discussion, encouraging effective use while challenging art therapists to expand its applications. Looking closely at our tools supports their effective application and expands their potential utility. © 2023 Intellect Ltd Notes from the Field. English language.
ABSTRACT
Recently, crowd counting has attracted significant attention, particularly in the context of the COVID-19 pandemic, due to its ability to automatically provide accurate crowd numbers in images. To address the challenges of location-level labeling, several transformer-based crowd counting methods have been proposed with only count-level supervision. However, these methods directly use the transformer as an encoder without considering the uneven crowd distribution. To address this issue, we propose CCTwins, a novel transformer-based crowd counting method with only count-level supervision. Specifically, we introduce an adaptive scene consistency attention mechanism to enhance the transformer-based model Twins-SVT-L for feature extraction in crowded scenes. Additionally, we design a multi-level weakly-supervised loss function that generates estimated crowd numbers in a coarse-to-fine manner, making it more appropriate for weakly-supervised settings. Moreover, intermediate features supervised by count-level labels are utilized to fuse multi-scale features. Experimental results on four public datasets demonstrate that our proposed method outperforms the state-of-the-art weakly-supervised methods, achieving up to a 16.6% improvement in MAE and up to a 13.8% improvement in RMSE across all evaluation settings. Moreover, the proposed CCTwins obtains competitive counting performance, even when compared to the state-of-the-art fully-supervised methods. IEEE
ABSTRACT
As a historical event, the Covid-19 pandemic marks a before and after. Social distancing during 2020 and 2021 radically affected our work on heritage, archaeology and tourism. This measure severely limited our communication with the people of Tapso (El Alto, Catamarca). From our heritage perspective it is impossible to achieve our goals without collaborative work with the communities. This article aims to communicate the advances and frames of the re-linking between the researchers and the community. During these last years, and after trying to develop a line of work at a virtual level without much success, we have focused on re-connecting with our presence in the territory, which was much more effective. Consequently, through interviews, activities at the school and the museum, prospecting and surveying sites with the community, we have strengthened the bond that was damaged due to the pandemic. © 2022 Asociacion de Arqueologos Profesionales de la Republica Argentina. All rights reserved.
ABSTRACT
The Summer Arts Workshop (SAW) is a community-based art therapy program with a social justice focus. It has been offered through the Helen B. Landgarten (HBL) Art Therapy Clinic at Loyola Marymount University (LMU) since 2007 in partnership with Dolores Mission School in Boyle Heights, a historically under-resourced part of East Los Angeles. In 2020, due to the COVID-19 pandemic and stay-at-home orders in Los Angeles, the SAW leadership team adapted the workshop to an online format. The authors took advantage of the online format to extend the reach of the workshop to several school sites in marginalized communities in Los Angeles County, including a juvenile hall high school, which is a prison for youth in a state youth detention centre. The greatest challenge in adapting to an online format was preserving the core component of the workshop: building trust and healthy attachments through expressive art making. The authors overcame this and other challenges and succeeded in providing connecting experiences for participants and facilitators during a time of social isolation and collective anxiety. This chapter shows how teletherapy can bridge gaps of access, particularly for marginalized populations. (PsycInfo Database Record (c) 2023 APA, all rights reserved)
ABSTRACT
This chapter addresses post-secondary arts educators' need to apply intersectional feminist educational pedagogies and methodologies while navigating during and post-COVID-19. By deconstructing oppressive pre-pandemic educational ideologies within the liminal portal of COVID-19, students and faculty can embrace this new state of change. Feminist educational practices can steady educators in this transitory time as it historically values and utilizes unease, flexibility, multiplicity, and self-reflection. Specific classroom approaches and examples highlight how and why feminist practices can create inner awareness, community, and transformational change. © Springer Nature Switzerland AG 2021. All rights reserved.