Abstract: Multiband imaging (MBI) is a non-invasive, portable digital technique that has become increasingly widespread in the technical study and condition assessment of paintings, owing to its affordability, and ease of use. This paper presents an experimental research aimed at optimising MBI at the microscopic scale - referred to as micro multiband imaging (µMBI) - particularly with the aim of expanding its diagnostic capabilities. A range of µMBI techniques were used on custom-made mock-ups made up of pigments selected for their spectral responses, and representative of traditional artistic materials. The techniques used included microphotography of polarised and unpolarised visible light (µVIS), raking light microphotography (µRL), transmitted light microphotography (µTL), ultraviolet-induced visible luminescence microphotography (µUVL), infrared microphotography (µIR), infrared micro-transirradiation (µIRT), and infrared false-colour microphotography (µIRFC). The results obtained through µMBI were compared with those from standard MBI methods, allowing for a critical discussion of the strengths and limitations of this emerging approach. Results evidence that µMBI provides high-resolution, spatially specific insights into materials and painting techniques, offering a more detailed understanding at the microscale of how a painting was executed. It also enables the assessment of deterioration processes (e.g., cracking, delamination, and metal soap formation), contributing to a deeper comprehension of the origin and progression of failure phenomena and supporting the development of more informed, preventive conservation strategies.

Abstract: This paper explores the creative process as a human form of knowledge from a Fluxian perspective, integrating art, epistemology, and lived experience. Through the analysis of his own expanded art practice and the exhibitions “El Todo y la Nada” (Museum of Contemporary Art of Bogotá) and “Forever” (La Neomudéjar Museum, Madrid), the author proposes an understanding of art as a path of knowledge irreducible to animal instinct or technical rationality. The text interweaves thought and poetics to situate contemporary art as a space of epistemological and metaphysical revelation.

Abstract: Various heritage objects can be subjected to various types of biodegradations. Mold fungi can cause destruction—be it monumental art or easel paintings. Tempera paintings on wood are at risk of biodeterioration, since the wide variety of organic and inorganic materials contained in art objects often provide an optimal habitat for biological coloniza-tion, causing aesthetic and structural damage. In this regard, the urgent task is both timely identification and characterization of their microbiological destructive potential. The fungi Syncephalastrum sp. STG-160 and Cladosporium sphaerospermum STG-161, isolated from bio-lesion sites of the 16th century icon "Descent into Hell" from State Tretyakov Gallery, Moscow, were identified and characterized morphologically and molecularly in our work. Syncephalastrum sp. showed an unusual habitat that has not been previously described for this species. To determine the biodegradability of the identified fungi their cells were inoc-ulated onto the mock layer—egg yolk ochre and cobalt green tempera pigments, and wa-tercolor black. The addition of cobalt green completely inhibits the STG-161 growth and significantly slows down STG-160 mycelium development, which is most likely due to the presence of heavy metal ions in the pigment. But the ochre pigment, one of the frequently used material in restoration practice, is the leader of biodegradation. Scanning electron microscopy confirmed the presence of isolated spores of fungi-destructors on the surface of the icon in relatively clean places, which can lead to their development in case of viola-tion of temperature and humidity conditions.

Abstract: Based on the Theory of Planned Behavior, this study systematically examines the influence mechanism of sustainable fashion consumption value perception on purchase intention among Chinese and Korean consumers, while also delving into the moderating effect of environmental concern between consumption value and purchase intention. Using a questionnaire survey method, the study collected 1,308 valid samples from university students in China and South Korea (716 Chinese samples, 592 Korean samples), employing quantitative analysis with SPSS 26.0 and AMOS 26.0.0. The research constructed an influence pathway model for sustainable fashion consumption behavior, using the five dimensions of consumption value (functional value, social value, emotional value,precious value, ethical value) as its theoretical framework. Empirical findings reveal: Each dimension of consumer value significantly and positively influences purchase intention among Chinese and Korean consumers. - Environmental concern significantly moderates the relationship between consumer value and purchase intention. Significant cross-cultural differences exist in the relationship between consumer value perception and purchase intention between Chinese and Korean consumers. Additionally, gender significantly moderates consumer value perception, providing crucial insights for targeted marketing strategies. These findings not only provide empirical support for fashion enterprises in positioning sustainable fashion products but also offer robust backing for theoretical advancement and practical innovation in sustainable fashion.

Abstract:

Accelerated artificial aging of ZnO PW4 acrylic artist’s paints was carried out for a total of 1963 hours (~8 10⁷ lux.h) with aging assessment at specific intervals. Color change ΔE* < 2 (CIELab-76 system) over 1725 hours of aging, while the human eye notices color change at ΔE* > 2. Oxidative degradation of organic components in the paint to form volatile products was revealed by ATR-FTIR, Raman spectroscopy-microscopy and scanning electron microscopy with energy dispersive X-ray spectroscopy (SEM-EDS). It appears that deep oxidation of organic intermediates and volatilization of organic matter may be responsible for the relatively small value of ΔE* color difference during aging of the samples. To elucidate the degradation pathways, principal component analysis (PCA) was applied to the spectral data, revealing: 1) the catalytic role of ZnO in accelerating photodegradation, 2) the Kolbe photoreaction, 3) the decomposition of the binder to form volatile degradation products, 4) the relative photoinactivity of CaCO₃ compared to ZnO, showing slower degradation in areas with higher CaCO₃ content compared to those dominated by ZnO. These results provide fundamental insights into formulation-specific degradation processes, offering practical guidance for the development of more durable artist paints and conservation strategies for acrylic artworks.

Abstract: The Museum of Modern Art (MoMA) is a leading institution in the preservation and presentation of historical and contemporary art, with a collection spanning painting, sculptures, photographs, architecture, design, film, performance, and more. This paper examines gender disparity within MoMA’s collection by analyzing both historical and contemporary trends in the representation of female artists. Using a mixed-methods approach, the study combines quantitative analysis of MoMA’s publicly available dataset with qualitative insights informed by feminist art theory. The study reveals systemic biases embedded in curatorial practices and institutional priorities, particularly in terms of exhibition. In particular, the findings highlight a significant gender gap among artists of various nationalities and mediums, revealing a need for museum curators to reassess how artistic value is understood within these institutions. By identifying these disparities and offering targeted recommendations, this research aims to inform more equitable and inclusive museum collections.

Abstract: This study explores the artistic experiences of individuals with low vision in creating clay-based artworks at the Pandawa Social Home for Blind Sensory Disabilities in Kudus Regency, Indonesia. The research used a qualitative, descriptive-exploratory design, and fifteen participants with varying levels of visual impairment were involved. Data were obtained through in-depth interviews, observations, and analysis of their clay creations. The findings reveal that clay, with its tactile qualities, serves as an effective medium for creative expression, enabling participants to explore form through touch and pressure. This process supported the development of fine motor skills, creativity, and self-confidence while fostering emotional well-being and social interaction. Participants relied on memory, imagination, and sensory perception to produce artworks that held personal and aesthetic meaning, despite differing from conventional visual standards. The study underscores the therapeutic benefits of clay art and highlights the crucial role of supportive environments—families, educators, and art communities—in nurturing creativity and enhancing the quality of life for individuals with visual impairments.

Abstract: Gypsum alabaster as material for European sculpture emerged in the 12th century and soon rivalled marble due to its accessibility, ease of sculpting, and aesthetic qualities. Lack of clear terminology and the visual similarity of the two materials have led to a considerable amount of confusion and deliberate misnomers. Despite attempts, since early modern times, to make a clear physical and chemical distinction between both materials, the confusion persists, even in modern collections. Here we present a non-invasive, cost-effective, reliable technique to differentiate the two, using an ultra-portable near-infrared spectrometer. The characteristic NIR spectrum of gypsum alabaster over the range of 900-1700 nm strongly contrasting with the near-featureless spectra of marble and limestone, allows for a simple and straightforward differentiation of these materials. Distinction of marble and anhydrite alabaster is less evident but appears possible due to the frequent partial hydration of natural anhydrites, leading to weak but characteristic features in the 1200 nm and 1400-1500 nm ranges. As demonstrate our two cases, the 15th century Kortrijk Saint Catherine of Alexandria and the 17th century funeral monument of Prince-Bishop Julius Echter in the Würzburg Cathedral, our technique enables rapid lithological identification of complex composite sculptural ensembles.

Abstract: This study aims to break through the traditional sculpture restoration paradigm centred on "geometric fitting", and proposes an aesthetic restoration framework that integrates emotion-gesture-symbol. Different from the geometric restoration that focuses on the symmetry of form and the fitting of points and lines, the aesthetic restoration emphasises the multi-dimensional linkage of emotional communication, dynamic aesthetics and cognitive consistency, and tries to restore the internal logic and sensual semantics of the "ideal beauty" in classical art works. In this paper, we introduce aesthetic cognitive a priori mapping for the first time, embed the emotional structure and visual semantics of classical sculptures into AI models, construct a neural-symbolic joint reasoning system, and integrate Transformer and graph neural network (GNN) to achieve cross-modal construction of gesture dynamics and expression generation. Through the experimental reconstruction of the eight restored versions of the Venus statue and typical postures such as the golden apple and the leaning pillar, combined with the quantitative indexes such as PCK, FID, Aesthetic Score, etc., we verified the model's performance in the areas of "perceptual proportions", "gesture dynamics", "props", and "expression generation". Combined with PCK, FID, Aesthetic Score and other quantitative indexes, it is verified that this model is superior to the traditional restoration path in terms of "perceptual proportion", "gesture and momentum", "props integration" and "divine expression". The study shows that aesthetic restoration is not only a reconstruction of the visual form, but also a deep cognitive reasoning process, and the results are more in line with the context of art history and the audience's perceptual experience. In the future, we will expand the temporal emotion modelling, historical archive enhancement mechanism and virtual reality immersive interaction, in order to promote the systematic application of AI in the fields of digital museums, art gallery restoration and cultural narrative generation.

Abstract: This paper introduces DKR-YOLO, an advanced deep learning framework designed to empower the digital preservation and sustainable management of ancient mural heritage. Building upon YOLOv8, DKR-YOLO integrates innovative components—including the DySnake Conv layer for refined feature extraction and an Adaptive Convolutional Kernel Warehouse to optimize representation—addressing challenges posed by intricate details, diverse artistic styles, and mural degradation. The network’s architecture further incorporates a Residual Feature Augmentation (RFA)-enhanced FPN (RE-FPN) and Efficient Channel Attention (ECA), prioritizing the most critical visual features and enhancing interpretability. Extensive experiments on mural datasets demonstrate that DKR-YOLO achieves a 43.6% reduction in FLOPs, a 3.7% increase in accuracy, and a 5.1% improvement in mAP compared to baseline models. This performance, combined with an emphasis on robustness and interpretability, supports more inclusive and accessible applications of AI for cultural institutions—including small museums and local heritage organizations—thereby fostering broader participation and equity in digital heritage preservation.

Abstract: The automation of Style3D simulation is confronted with dual technical and cultural challenges: (1) systematic incompatibility with traditional planar cutting logic, and (2) anthropological inaccuracies in the digital reconstruction of historical garment semantics. To address these limitations, a rule-driven computational framework is proposed in this study, which systematically integrates the structural heritage of Ming and Han dynastic attire with modern parametric 3D design paradigms. Through geometric analysis of twelve archetypal Ming-era garments (including Daopao robes and Shenyi ceremonial wear), the first quantitative database of Hanfu structural invariants was established. Three axiomatic design principles were rigorously derived: A nonlinear relationship between collar angularity (θ) and body height (H), formulated as θ = 35 + 0.15(H − 160), A golden ratio constraint governing sleeve-root circumference (S_w = 0.618B_w + 5 cm), A fixed 1.5 cm right-overlap margin in cross-collar construction to preserve ritual compliance. These principles were algorithmically encoded into a Style3D plugin, where 3D garment topologies are automatically generated while cultural protocols are enforced through constraint-based validation (e.g., left-overlap errors are systematically prohibited). Experimental validation demonstrated a 68% reduction in modeling time compared to manual workflows, with critical dimensional parameters maintaining <3% deviation from archaeological measurements of Ming Dynasty textile relics. The framework’s efficacy was further authenticated during its deployment at the China International Fashion Week’s digital exhibition, where fifteen procedurally generated Han-style designs achieved a cultural accuracy score of 4.7/5 as evaluated by a panel of heritage scholars. This research establishes a pioneering methodology for formalizing intangible cultural knowledge into computable design axioms, thereby creating new pathways for both digital heritage preservation and algorithm-driven fashion innovation.

Abstract: Throwing events in track and field—shot put, discus, javelin, and hammer throw—demand a synergistic blend of biomechanical technique, explosive power, and injury prevention to achieve peak performance. This paper examines the critical role of technique in enhancing biomechanical efficiency, improving throwing distance, and reducing injury risk through coordinated kinetic chain movements. It explores event-specific power demands, highlighting the importance of fast-twitch muscle fibers and periodized training programs incorporating heavy implement training, plyometrics, and Olympic lifts. The interplay between technique and athletic abilities is analyzed, demonstrating how refined mechanics amplify physical attributes and compensate for limitations. Injury prevention strategies, including dynamic warm-ups, rotator cuff strengthening, and load management, are emphasized to ensure athlete longevity. Supported by biomechanical research and training methodologies, this paper provides a comprehensive framework for designing training programs that balance technical mastery, power development, and injury prevention to optimize performance in throwing events.

Abstract: Biomimetic design, derived from the study of biological systems, has emerged as a pivotal methodology in contemporary art and design. By systematically integrating the morphological traits, structural principles, and functional mechanisms of living organisms into design thinking, it provides both a novel theoretical perspective and methodological support for modern design practice. This design philosophy draws abundant inspiration from nature’s aesthetics and achieves a profound fusion of organic form and artistic expression. This study systematically traces the theoretical evolution of biomimetic design—from its early phase of direct form‐mimicry to today’s holistic, systems‐based approach—and clarifies its interdisciplinary logic and developmental trajectory. We examine its applications in public installations, product development, architecture, and fashion. Through a structured analysis of plant‐inspired, animal‐inspired, and ecosystem‐inspired strategies—linked with the aesthetic demands and cultural contexts of design—the study uncovers the underlying mechanisms by which biological models drive innovation. The findings demonstrate that, by organically combining form simulation, function optimization, and ecological awareness, biomimetic design not only elevates the aesthetic value, visual impact, and emotional resonance of design works but also amplifies their social role and cultural significance. Moreover, its interdisciplinary potential in materials innovation, technological integration, and environmental sustainability highlights unique pathways for addressing complex contemporary challenges. This study adopts a methodology that blends case‐study analysis and theoretical interpretation. Through an in‐depth examination of exemplar projects, it validates that biomimetic design not only achieves a seamless unity of function and form but also offers a robust theoretical framework and practical strategies for sustainable design implementation. These insights advance both the theoretical depth and practical innovation of the design discipline.

Abstract: This study will investigate the integration of Artificial Intelligence (AI) as a transformative tool in cataloguing and classification processes within selected academic libraries in Lusaka Province, Zambia. As AI technologies such as machine learning and natural language processing increasingly influence library operations globally, this research aims to assess their level of adoption, impact on cataloguing accuracy and consistency, and the challenges and opportunities associated with their use. Guided by a quantitative research design, the study employed stratified random sampling to gather data from librarians in registered public academic libraries using structured questionnaires. Findings are expected to highlight the extent of AI adoption, reveal infrastructural and capacity-related barriers, and inform strategies for effective and ethical integration of AI into library workflows. The results will contribute to the growing body of knowledge on AI in library science, providing evidence-based recommendations to enhance metadata practices and service delivery in Zambian academic libraries.

Abstract: This paper explored the use of chlorography as a natural photographic developing technique that utilizes the decomposition of chlorophyll and other plant pigments through the action of sunlight. The developed images corresponded to a previous research process on the changes in the iconography of the Salasaka indigenous people. Therefore, its articulation with this experimental project on natural photography is oriented towards the conservation of the ancestral knowledge of this community and the understanding of the native flora of the Ecuadorian territory. This process investigated the application of the image transfer technique by contact with positive transparencies onto the leaves and flowers of different species that grow in the Ecuadorian highlands, including leaves of vascular species, as well as rose petals. The results showed the obtaining of chlorographs with variable clarity and contrast depending on the plant species and exposure time. It was observed that fruit-bearing species produced more visible images than leaves from other plants and rose petals. The discussion interpreted the findings in relation to the photobleaching of pigments and compared chlorography with other natural photographic processes such as anthotypes. Key factors influencing the process were identified, such as the type of leaf, the intensity and duration of light, and the hydration of the plant material. It was concluded that chlorography is a viable, non-toxic, and environmentally friendly photographic alternative with potential in art, education, and research, although it presents challenges in terms of image permanence and reproducibility.

Abstract: Death is one of the most profound existential dilemmas encountered in human development. The cognitive understanding of mortality and the artistic expression of emotions related to life and death constitute a critical subject that contemporary society cannot overlook. Based on the philosophical theories of life, this article applies the form of illustration in art education to propose innovative methods and strategies for life-and-death education. By integrating diverse artistic forms—such as commemorative sculptures expressing grief for departed loved ones, abstract sculptures envisioning the essence of the soul, a metaphorical art installation framing death as the closing stage of life’s theatrical play, a painting reflecting ancient cultural cosmologies of life and death, and interactive card game designs encouraging individuals to confront mortality—this research constructs a framework for illustrative design practices and artistic exhibitions centered on life-and-death education. Illustration-based art exhibitions focusing on life and death can guide individuals across all age groups to confront mortality, reflect on the significance of life and death, and ultimately establish a constructive perspective on life and existence. Our project aims to provide an innovative paradigm for illustration to engage in life-and-death education and to broaden its conceptual boundaries through practical experimentation.

Abstract: Intersectional oppression and invisibility are primary drivers of cognitive and mental health disparities which affect Black women’s wellness. Older Black women additionally experience compounding effects of ageism, which may place them at increased risk for decline in cognitive functioning and mental wellness. To date, limited strengths-based, culturally relevant programming has focused on aging Black women. Fewer have incorporated Black women elders into conversations on Black liberation and the trans-formational change needed to create possible futures rooted in equity, healing, and health. This manuscript describes the inception and development of Radical Imagination, a creative aging program for Black women in the San Francisco Bay Area. Over ten weeks, 42 Black women (M age = 73.9, SD = 6.17; range: 58-85 years old) participated in the program which incorporated brain and mental health education, art-making, storytelling, and photography. Grounded in principles of Afrofuturism and radical healing, participants explored past narratives of Black women and created a collective vision for a future that centers Black women’s need. Approximately 54.8% of participants attended more than one workshop. Upon program completion, exit surveys indicated participants re-ported a moderate level of hopefulness about their ability to shape the future. Respondents reported overall satisfaction with the workshop series. We conclude with re-flections on our process and recommendations of ways to support aging Black women using Afrofuturism and the arts.

Abstract: The relatively recent rise in popularity of paint by numbers has stemmed from its ability to be used as a creative or therapeutic activity. Paint by numbers kits are straightforward and easy to use, but they provide a unique way for people to express themselves artistically. Despite the benefits, creating these kits is highly time consuming and requires the skills of a designer, advanced digital equipment, and high levels of effort. Properly segmenting an image, mapping the correct colors, and making the kit usable for novices is the primary issue with this approach. All of the techniques available are heavily reliant on a person’s knowledge, making it nearly impossible to adjust the scale. This paper describes an approach to automating the creation of paint by numbers canvases using modern techniques in image processing. The approach relies on the combination of vector-based segmentation, color clustering algorithms, and optimized workflows with a means to convert arbitrary images into paint by number templates by segmentation and clustering of colors. The approach described above allows for improved efficiency by greatly decreasing the amount of manual effort needed.

Abstract: The growing demand for creative and recreational activities has led to the development of an AI-powered platform that automates paint-by-numbers canvas generation. By integrating image segmentation, color extraction (using K-means clustering), and vectorization, the system transforms user-uploaded images into customizable paint-by-number templates with precise color palettes. Leveraging OpenAI’s DALL-E for image generation, the platform simplifies a traditionally labor-intensive process while maintaining high-quality outputs. Usability tests confirm high user satisfaction due to its intuitive interface and high-resolution results. Beyond artistic applications, the tool also offers therapeutic benefits by promoting mindfulness and stress reduction, bridging the gap between technology and creative expression for both hobbyists and businesses.

Abstract: This study aims to investigate the impact of light color on emotional well-being in snowy landscapes. Through a simulated experiment, 95 participants were tested to compare the effects of six different light colors (yellow, orange, red, green, blue, and purple) on emotional well-being in snow-covered environments, using a snow scene without artificial lighting as the baseline condition. Emotional well-being was assessed using a modified version of the Positive and Blue Affect Schedule (PANAS), focusing on six key emotional dimensions. The results indicate that warm-colored lighting (orange and yellow) significantly enhanced positive emotions, such as pleasure and enjoyment, while cool-colored lighting (green and blue) significantly increased blue emotions, such as anxiety and tension. Notably, purple lighting exhibited a dual effect, simultaneously enhancing positive emotions while also amplifying blue emotions. These findings suggest that the influence of light color on emotional well-being in snowy landscapes is complex and context-dependent. This study provides valuable insights into optimizing urban winter lighting strategies to enhance public emotional well-being through appropriate light color selection.