The aims of this exploratory study were: to investigate the process of visual art appreciation in a person with dementia, in real time; and to test the feasibility of using video-analysis as a method to explore this process by and with a person who has minimal verbal expression. Gallery personnel guided a woman with severe dementia around an exhibition. Audio-visual recordings of the interactions were analysed. Patterns were identified, and interpreted in the light of conversation analysis theory and research. Evidence was found of turn-taking vocalisations on the part of the research participant. Her participation in a dialogical process was facilitated by the skilled and empathic gallery personnel in ways that the analysis makes clear. We argue that this supports the inference that successful communicative acts took place, contrary to expectations in the light of the participant's level of disability. We demonstrate in this paper how a woman with minimal speech due to dementia was enabled to engage with visual art through the facilitation of an expert guide, attuned to her needs. This is a novel example of a person-centred approach, because it takes place outside the context of caring, which is the typical setting for examining person-centred ways of relating to individuals with dementia.
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http://dx.doi.org/10.1017/S0144686X1800020X | DOI Listing |
EJNMMI Phys
January 2025
Department of Nuclear Medicine, Division of Life Sciences and Medicine, The First Affiliated Hospital of USTC, University of Science and Technology of China, Hefei, 230001, Anhui, China.
Single photon emission computed tomography (SPECT), a technique capable of capturing functional and molecular information, has been widely adopted in theranostics applications across various fields, including cardiology, neurology, and oncology. The spatial resolution of SPECT imaging is relatively poor, which poses a significant limitation, especially the visualization of small lesions. The main factors affecting the limited spatial resolution of SPECT include projection sampling techniques, hardware and software.
View Article and Find Full Text PDFFront Public Health
January 2025
College of Life Sciences, University of Ningxia, Yinchuan, Yinchuan, Ningxia, China.
Background: Over the past decade, sexual transmission has become a dominant source of new HIV-1 infection in China. However, very few studies have been conducted to characterize the two sexual transmissions, homosexual and heterosexual transmission. This study was conducted to better understand the relationship between genotypes, drug resistance, and molecular transmission networks in two groups of sexually transmitted HIV-1 in Ningxia, China.
View Article and Find Full Text PDFBMC Med Educ
January 2025
Department of Physiology, Kasturba Medical College, Manipal, Manipal Academy of Higher Education, Manipal, Karnataka, 576104, India.
Background: The doctor-patient relationship is essential for effective patient care, yet medical education often neglects to nurture the quality such as empathy during the initial years of training. Doctor-patient relationship is one of the modules taught in first year as part of mandatory AETCOM (Attitude, Ethics, and Communication) course in the undergraduate Indian medical curriculum. Hermeneutics, a method of interpretation, can play a vital role in introducing observational and reflective thinking skills.
View Article and Find Full Text PDFBackground: Traditional empathy teaching methods fall short in addressing the heightened empathy demands of in-service postgraduate nurses. Art-based approaches offer potential solutions.
Method: We adopted a mixed method study with a quasi-experimental design.
Neural Netw
January 2025
Department of Mechanical Engineering, Politecnico di Milano, Milan, Italy.
Shadow removal remains a challenging visual task aimed at restoring the original brightness of shadow regions in images. Many existing methods overlook the implicit clues within non-shadow regions, leading to inconsistencies in the color, texture, and illumination of the reconstructed shadow-free images. To address these issues, we propose an efficient hybrid model of Transformer and Generative Adversarial Network (GAN), named ShadowGAN-Former, which utilizes information from non-shadow regions to assist in shadow removal.
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