Search Results (692)

The rapid advancement of Generative Artificial Intelligence (GenAI) has enhanced fashion design creativity by introducing aesthetics beyond conventional norms. With its unique and novel aesthetics, AI-generated clothing has sparked widespread discussion on social media. However, little is known about how consumers respond when these virtual designs are transformed into wearable physical products. This study examines factors influencing Chinese consumers’ acceptance of physicalized AI-generated clothing (PAGC), which is a sustainable fashion category that improves design efficiency and enables small-scale experimental production. Grounded in the Theory of Consumption Values (TCV), eight variables across four value dimensions—functional, social, emotional, and epistemic—were identified, along with demographic characteristics. Using a non-probability voluntary sampling method, 661 valid responses from Chinese consumers were collected and analyzed through a multinomial logistic regression model. The study found that perceived algorithmic creativity, perceived novelty, and social identity are the three most influential factors on acceptance. Consumers with higher education, lower income, or fashion- and technology-related backgrounds were more likely to accept PAGC. By situating PAGC within the context of sustainable fashion innovation, this study enhances understanding of Chinese consumers’ decision-making and offers managerial insights for fashion brands striving to balance creativity and social responsibility in the GenAI era. Full article

Inhibition of respiratory chain complex I (NADH dehydrogenase) is a widely encountered biochemical consequence of drug intoxication and a primary consequence of mtDNA mutations and other mitochondrial defects. In an organ-selective form, it is also deployed as antidiabetic pharmacological treatment. Complex I inhibition evokes a pronounced metabolic reprogramming of uncertain purposefulness, as in several cases, anabolism appears to be fostered in a state of bioenergetic shortage. A hallmark of complex I inhibition is the enhanced biosynthesis of serine, usually accompanied by an induction of folate-converting enzymes. Here, we have revisited the differential transcriptional induction of these metabolic pathways in three published models of selective complex I inhibition: MPP-treated neuronal cells, methionine-restricted rats, and patient fibroblasts harboring an NDUFS2 mutation. We find that in a coupled fashion, serinogenesis and circular folate cycling provide an unrecognized alternative pathway of complete glucose oxidation that is mostly dependent on NADP instead of the canonic NAD cofactor (NADP:NAD ≈ 2:1) and thus evades the shortage of oxidized NAD produced by complex I inhibition. In contrast, serine utilization for anabolic purposes and C₁-folate provision for S-adenosyl-methionine production and transsulfuration cannot explain the observed transcriptional patterns, while C₁-folate provision for purine biosynthesis did occur in some models, albeit not universally. We conclude that catabolic glucose oxidation to CO₂, linked with NADPH production for indirect downstream respiration through fatty acid cycling, is the general purpose of the remarkably strong induction of serinogenesis after complex I inhibition. Full article

Due to the limitations of general-purpose generative artificial intelligence (GenAI) platforms in meeting the needs of fashion design, AI-based integrated fashion design platforms (AIIFDP) have emerged as a more suitable solution. As the next generation of designers, fashion design students play a pivotal role in shaping the optimization and promotion of AIIFDP. However, research on their continuance intention toward such platforms remains limited. This study constructs an integrated model by combining the Unified Theory of Acceptance and Use of Technology (UTAUT) with the Expectation-Confirmation Model (ECM), and extending it with variables such as personal innovativeness, habit, and perceived intelligence. Using a multi-stage SEM-ANN analysis, the study empirically analyzed data from 486 questionnaires completed by fashion design students in China. The results suggest that satisfaction is the most significant positive factor influencing continuance intention. Moreover, performance expectancy, social influence, perceived intelligence, and habit also exert significant effects. This study broadens the segmented perspective on the application of GenAI in design education and validates the applicability of the extended UTAUT-ECM model in the context of AIIFDP. It also provides theoretical foundations and multi-level strategic recommendations for optimizing AIIFDP products and guiding their integration into educational practices. Full article

Sustainable fashion retail is associated with supporting circular economy processes through the provision of services that extend the duration of products, their components, and their materials. Considerable attention has been paid to environmental concerns, whereas comparatively less emphasis has been placed on the cultural and social dimensions that retail may facilitate. The presented research contributes to the ongoing discourse related to service-based retail by formulating guidelines that consider environmental, cultural and social aspects of sustainability. To achieve this goal, a literature review was conducted to identify trends, existing models, and to extract components of service-based sustainable fashion retail. Subsequently, a focus group was organised with experts from the fashion retail sector to gather opinions on retail and its relationship with sustainability. A systematic mapping of service-based retail initiatives was employed within the focus group as a tool to stimulate experts’ expertise and encourage them to anticipate the challenges and responsibilities associated with a service-based fashion retail model. Results from the focus group and literature review are discussed and combined to formulate guidelines on credibility and engagement components. Five guidelines were identified: (1) aim at transparency, (2) adopt digitisation and technological solutions, (3) offer immersive experiences and community building in the store, (4) enhance human resources, and (5) pragmatically communicate sustainability efforts. This research, viewing the fashion and textile industries through the lens of the European market, provides companies, designers and policymakers with strategic insights to navigate the complex and evolving fields of fashion and textiles. Full article

The growing demand for sustainable alternatives to animal and synthetic leathers has accelerated interest in mycelium-based materials as an eco-friendly solution for the fashion industry. This study explores the potential of mushroom mycelium to create leather-like materials that align with circular fashion principles. Five species of edible and medicinal mushrooms were cultivated on sawdust substrates and evaluated for their growth performance, physical properties, and suitability as leather substitutes. Growth analysis revealed distinct species-specific behaviors: Cubamyces flavidus and Lentinus squarrosulus exhibited rapid colonization, achieving full substrate coverage within five days and forming dense mycelial networks at 14 days. In contrast, despite growing more slowly, Sanghuangporus vaninii and Ganoderma gibbosum formed thicker, more compact mats that might be suitable for strong leather-like materials. Visual and structural assessments showed diverse textures, colors, and hyphal architectures resembling natural leather. Physical characterization revealed shrinkage ranging from 13.17% to 24.09%, higher than for cow tanned leather (>5%) and PU microfiber (0.1–1.2%), suggesting a need for stabilization treatments. Apparent densities ranged from 0.13 g/cm³ to 0.30 g/cm³, lower than those of cow leather (0.49 g/cm³) and PU leather (0.38 g/cm³), highlighting species-specific hyphal structures that influence flexibility, porosity, and strength. SEM imaging confirmed the presence of interwoven hyphal mats resembling the fibrous architecture of natural leather, with S. vaninii showing the most uniform and continuous structure. Water absorption was significantly higher in mycelium sheets, consistent with their microporous nature, though S. vaninii showed the lowest uptake, reflecting possible natural water absorption. Thermogravimetric analysis revealed three-stage degradation profiles, with S. vaninii and G. gibbosum retaining >35% mass at 400 °C, indicating strong thermal stability for processing techniques such as hot pressing and finishing. Overall, the results demonstrate mycelium-based leathers as a biodegradable, low-impact alternative that can replicate the visual and functional characteristics of traditional leather, with opportunities for further improvement in substrate optimization, eco-tanning, surface coating, and scalable production toward a sustainable fashion future. Full article

The fashion and textile industry (FTI) is a significant contributor to greenhouse gas emissions, resource consumption, and waste generation, necessitating sustainable alternatives. Chitosan, a biodegradable and renewable biopolymer, has shown potential in reducing environmental impact throughout the textile lifecycle. However, existing studies often focus on isolated applications rather than its broader role in industrial sustainability. This review synthesises findings from 142 academic studies to assess chitosan’s applications in textile production, dyeing, finishing, and waste management, emphasising its impact on energy efficiency, carbon reduction, and resource circularity. Chitosan’s biodegradability, antimicrobial properties, and affinity for sustainable dyeing offer a viable alternative to synthetic materials while also enhancing wastewater treatment and eco-friendly finishing techniques. By evaluating its contributions to sustainable manufacturing, this review highlights its potential in supporting decarbonisation and circular economy transitions within the textile sector, while also identifying challenges for future research. Full article

Urban horticulture as a segment of urban agriculture can take various forms: home gardens, allotment farming, community gardens, community-supported agriculture, vertical farming, etc. After the COVID-19 pandemic in Croatia and neighboring countries, growing horticultural plants in urban and suburban areas became increasingly popular. The aim of the study was to investigate citizens’ attitudes towards the benefits and support of urban horticulture, its relationship to the environment, and needs and relevance in studies in the cities of Šibenik, Split, Mostar and Skopje. The research methods used for the purpose of this study were theoretical analysis method, survey and analytical descriptive and statistical method. The research was conducted online during the first half of 2024 on a sample of 506 respondents. The main goal of the paper was to examine the views of citizens on urban horticulture. With specific objectives, the views of citizens were examined on the benefits of urban horticulture, the relationship between urban horticulture and the environment, urban horticulture and plant protection, support for urban horticulture, and the needs and trends of urban horticulture. and plant protection, support for urban horticulture, needs and trends of urban horticulture. The results showed that citizens are mostly positive towards growing horticultural plants in urban and suburban areas without pollution. In urban horticulture, respondents prefer using ecological principles and products. Female respondents expressed more positive attitudes towards the fashionability and need for urban horticulture. Respondents from Skopje showed the most positive attitudes towards the benefits of urban horticulture and its relationship to the environment. Also, there is no statistically significant difference in attitudes towards urban horticulture with regard to the location of residence. The research contributes to the trend of development and promotion of urban horticulture with a special emphasis on the importance of environmental preservation. It also contributes to the development of an interdisciplinary method that connects natural and social sciences, and develops an empirical approach that can improve urban culture with the aim of preserving the environment. Full article

The cherry fruit fly (Rhagoletis cerasi L.) poses a major threat to global cherry production, with significant economic implications. This study presents an innovative approach to assist pest control strategies by classifying cherry fruit samples based on pomological data using evolutionary rule-based classification algorithms. A unique dataset comprising 396 samples from five different coloring periods was collected, focusing particularly on the second pomological period when pest activity peaks. Three evolutionary algorithms, CORE (Evolutionary Rule Extractor for Classification), DMEL (Data Mining with Evolutionary Learning for Classification) and OCEC (Organizational Evolutionary Classification), were applied to find interpretable classification rules that find whether an incoming cherry sample belongs to the second pomological period or other periods. Two distinct fitness functions were used to evaluate the algorithms’ performance. The results of the algorithms are compared with various visual graphs and the metric values are compared with visual graphs in a similar fashion. The findings highlight the potential of explainable AI models in enhancing agricultural decision-making and offer a novel, data-based methodology for integrated pest management in cherry production for the prediction of cherry fruit phenology class. Full article

The apparel industry is changing dynamically and quickly to manufacturing sustainable fashion products and the development of sustainable design strategies that minimize material consumption at the source. This study addresses a critical research gap by quantitatively evaluating the impact of fusing traditional South Asian garment construction (the kameez) with varied, Western-inspired sleeve geometries on key manufacturing metrics. Thirty-three distinct women’s garment styles, comprising three kameez types (simple, princess-cut, open-front) each paired with eleven different sleeve designs, were developed in the apparel industry to study the effect of fabric efficiency, wastage, and cost-effectiveness. The virtual patterns and markers were drafted and accomplished through Garment Gerber Technology (GGT) software to analyze fabric consumption, fabric efficiency, and cost-effectiveness. The results revealed that paneled kameez styles, such as the princess-cut and open-front, are significantly more material-efficient, achieving average fabric efficiencies of up to 83.95%, compared to the monolithic simple kameez, which averaged only 75.68%. Among sleeve types, multi-constructions like the slit sleeve and cuff sleeve proved most efficient (achieving up to 86.91% efficiency), while voluminous, single-piece designs like the umbrella sleeve consumed the most fabric and were the least efficient. Open-front kameez slit sleeves (OFSL3), simple kameez slit sleeves (SSL3), and princess-cut kameez slit sleeves (PCSL3), were better and more sustainable selections since they were most efficient in fabric efficiency (i.e., 86.91%, 86.17%, and 86.09%). Furthermore, the simple kameez style has the highest fabric wastage (above 22%), while the princess kameez style has the least (below 19%). The simple kameez slit sleeves design (SSL3) has the minimum wastage, while the simple kameez umbrella sleeves design (SSL4) has the maximum wastage. From a cost perspective, the open-front kameez slit sleeve (OFSL1) was identified as the most economical design, whereas the simple kameez with an umbrella sleeve (SSL4) was the most expensive. Statistical analysis confirmed that the differences between kameez styles were significant (p < 0.05). Thus, adoption of specific, sustainable, deliberate design choices and incorporating paneling into the garment body and utilizing multi-piece sleeve constructions offer a quantifiable and strategic approach for manufacturers to reduce material waste, optimize fabric utilization, and improve production cost-effectiveness. Full article

This study investigates sustainability-oriented design and production practices in Slovenia, focusing on brand-led approaches grounded in local innovation, cultural heritage and community engagement. Through mapping of Slovenian fashion enterprises, the research identifies and analyzes core sustainability and circularity strategies including zero- and low-waste design, recycling, upcycling and the development of adaptable, long-lasting garments. Further attention is given to participatory design methods involving consumers, the strategic social media use for community building and service-based circular economy models such as lifetime garment repair. Technological and production innovations, localized supply chains and small-scale production models are assessed for their role in reducing environmental impact and advancing sustainable supply chain management. The study also analyzes initiatives to shorten the fashion loop, including dematerialization and production minimization, as pathways to reduce resource consumption. Methodologically, the study combines empirical fieldwork, participant observation and literature review to deliver a comprehensive analysis of Slovenia’s sustainable fashion sector. The findings contribute to the global discourse on regional and place-based sustainability in fashion demonstrating how design-driven, small- and medium-sized enterprises can integrate circular economy principles, cultural continuity and collaborative innovation to foster environmentally responsible and socially embedded fashion. Full article

In this study, I expand on the Black feminist tradition of rethinking Black women’s activism by examining how Black queer women’s fashion shows challenge traditional definitions and sites of activism. I present BlaQueer Style as an interpretive framework that largely draws on the wisdom and theories of Black feminism to undercover how these productions and the politics that shape them are not only sites of activism because they challenge the conventions of mainstream cultural institutions, but because they make space for the social and personal transformation of the communities they center. In this analysis of two public LGBTQ+ fashion shows, I argue that intention aside, the Black queer women founders and fashion workers and their practices and performances of centering marginalized communities, using the body to signal and subvert controlling images, and building coalition among these communities, highlight the liberatory potential of their fashion work. In a time when Black queer and trans people are experiencing misrepresentation and other forms of violence globally, BlaQueer Style is what I name the politics that presents a deep commitment to both the aesthetics and the liberation of these communities in Black queer women’s fashion work. Full article

Quantum-enhanced machine learning, encompassing both quantum algorithms and quantum-inspired classical methods such as tensor networks, offers promising tools for extracting structure from complex, high-dimensional data. In this work, we study the training dynamics of Matrix Product State (MPS) classifiers applied to three-class problems, using both fashion MNIST and hyperspectral satellite imagery as representative datasets. We investigate the phenomenon of grokking, where generalization emerges suddenly after memorization, by tracking entanglement entropy, local magnetization, and model performance across training sweeps. Additionally, we employ information-theory tools to gain deeper insights: transfer entropy is used to reveal causal dependencies between label-specific quantum masks, while O-information captures the shift from synergistic to redundant correlations among class outputs. Our results show that grokking in the fashion MNIST task coincides with a sharp entanglement transition and a peak in redundant information, whereas the overfitted hyperspectral model retains synergistic, disordered behavior. These findings highlight the relevance of high-order information dynamics in quantum-inspired learning and emphasize the distinct learning behaviors that emerge in multi-class classification, offering a principled framework to interpret generalization in quantum machine learning architectures. Full article

The fast fashion industry has significantly increased global textile demand, driving a surge in fiber production. However, only a minimal portion of this fiber comes from recycled sources. In the United States alone, a vast amount of textile waste is generated annually, with over half ending up in landfills, contributing to environmental degradation and global warming. These developments underscore the urgent need for scalable and efficient textile recycling solutions to address both economic and ecological challenges in the fashion industry. Among recycling methods, mechanical recycling stands out for its low cost and simplicity, making it suitable for processing various types of textile waste. This article reviews current knowledge, identifies key research gaps, and provides direction for future studies in mechanical textile recycling. Despite progress, significant challenges remain in improving the quality and efficiency of recycled fiber. This study shows the importance of advancing pretreatment methods and sorting technologies, and highlights understanding regarding shredding, opening processes, and fabric structural properties. Full article

The fashion industry faces a critical sustainability crisis, contributing up to 10% of global carbon emissions and generating 92 million tons of textile waste annually. The study highlights the complex interplay of material flows, business models, power structures, and cultural mindsets, presenting a multi-scaled framework for advancing cleaner production and circularity in one of the world’s most resource-intensive sectors. This study proposes a transformative model for circular bioeconomy in fashion, integrating systems-change theory, degrowth economics, and emotional durability. Through case studies, including Patagonia, Eileen Fisher, and EU policy frameworks, the paper demonstrates how circular strategies can reduce waste, extend product lifecycles, and promote ethical labor practices. Notably, brands implementing take-back programs and recycled materials have diverted over 1.5 million garments from landfills and achieved up to 70% recycled content. The study critically addresses challenges such as technological solutionism, systemic greenwashing, and waste colonialism, concluding that incremental changes are insufficient. A paradigm shift in business models, consumer culture, and policy is essential for a regenerative and just fashion future. Full article

Consumers are increasingly willing to choose more sustainable products, driven by affordability and sustainability considerations. However, they often face difficulties in understanding the multitude of product certifications and identifying “greenwashing” marketing claims. This highlights the need for a clear and harmonized sustainability scoring system that allows consumers to benchmark products. Sustainability encompasses three key pillars: environmental, social, and economic. Accurately scoring a product’s sustainability requires addressing a wide range of criteria within these pillars, introducing significant complexity. This study proposes a multicriteria methodology for scoring the sustainability of apparel products into an A to E label. The approach combines a life cycle assessment covering environmental impacts from “farm-to-gate”, with a social evaluation based on country-level social key performance indicators (KPIs) and factory-specific data aligned with the International Labour Organization (ILO). Additionally, the sustainability score incorporates the impact of product durability, as longer-lasting products can reduce environmental footprint and costs for consumers. The methodology is defined and validated through a case study of a white T-shirt produced with 50% recycled cotton and 50% organic cotton. The results demonstrate the comprehensive assessment of the T-shirt’s environmental and social impacts, providing a detailed sustainability score, highlighting the role of recyclability. This comprehensive sustainability scoring system aims to provide consumers with a clear, harmonized, and reliable assessment of product sustainability, empowering everyone to make informed purchasing decisions aligned with their values. It will also enable brands and retailers to calculate the sustainability score of their products, including in the scope of digital product passport, provided they can ensure traceability and transparency along the supply chain. Full article