{"results":[{"id":"doaj_10.3390/fib14020021","title":"Innovative Approach to Textile Pilling Assessment Using Uniform Digital Imaging","authors":[{"name":"Juro Živičnjak"},{"name":"Antoneta Tomljenović"},{"name":"Igor Zjakić"}],"abstract":"During use, the surface of textile fabrics is prone to wear, which can cause changes such as pilling. Pilling (entanglement of fibers) is primarily assessed using the standard visual method EN ISO 12945-4:2020, but it can also be quantitatively measured by instrumental methods with image analysis software. Due to non-uniform digital imaging conditions, such as variations in magnification and analyzed surface area, the assessed area is often inconsistent. As a result, the total percentage of the fabric specimen surface area covered with pills is often omitted. To ensure uniform digital imaging, an innovative apparatus was designed and constructed in this research and applied to woven fabrics made from 100% cotton, wool, viscose, polyamide 6.6, polyester, and acrylic fiber. Pilling in the fabric specimens was induced by rubbing with the Martindale pilling tester (EN ISO 12945-2:2020) using two different abradant materials, through predefined pilling rubs ranging from 125 to 30,000. Pilling assessment was conducted using both the visual method and the improved instrumental method, following established grading classes based on the total percentage of the fabric specimen surface area covered with pills. The research results highlight the importance of uniform digital imaging and digital grading, as these demonstrate the high comparability of pilling grades assigned by the standard visual method while providing better distinction between consecutive grades.","source":"DOAJ","year":2026,"language":"","subjects":["Chemicals: Manufacture, use, etc.","Textile bleaching, dyeing, printing, etc.","Biology (General)","Physics"],"doi":"10.3390/fib14020021","url":"https://www.mdpi.com/2079-6439/14/2/21","is_open_access":true,"published_at":"","score":70},{"id":"crossref_10.1016/b978-0-443-33435-1.00007-3","title":"Nano-based textile dyeing and printing: Techniques and processes","authors":[{"name":"Md. Belal Uddin Rabbi"},{"name":"Sultana Bedoura"}],"abstract":"","source":"CrossRef","year":2026,"language":"en","subjects":null,"doi":"10.1016/b978-0-443-33435-1.00007-3","url":"https://doi.org/10.1016/b978-0-443-33435-1.00007-3","is_open_access":true,"published_at":"","score":70},{"id":"crossref_10.1016/b978-0-443-33435-1.00011-5","title":"Biotechnological and nanobiotechnological approaches in dyeing and printing treatment of textile effluents","authors":[{"name":"Kunal Singha"},{"name":"Anjali Agrawal"}],"abstract":"","source":"CrossRef","year":2026,"language":"en","subjects":null,"doi":"10.1016/b978-0-443-33435-1.00011-5","url":"https://doi.org/10.1016/b978-0-443-33435-1.00011-5","is_open_access":true,"published_at":"","score":70},{"id":"crossref_10.1016/b978-0-443-33435-1.00001-2","title":"Nano-based textile dyeing and printing in fashion and apparel","authors":[{"name":"Manisha Yadav"},{"name":"Nagender Singh"},{"name":"Shelly Khanna"}],"abstract":"","source":"CrossRef","year":2026,"language":"en","subjects":null,"doi":"10.1016/b978-0-443-33435-1.00001-2","url":"https://doi.org/10.1016/b978-0-443-33435-1.00001-2","is_open_access":true,"published_at":"","score":70},{"id":"crossref_10.1016/b978-0-443-33435-1.00009-7","title":"The economics of nano-based textile dyeing and printing production","authors":[{"name":"Shipra Agarwal"},{"name":"Aahana Sharma"},{"name":"Abhilasha Mishra"}],"abstract":"","source":"CrossRef","year":2026,"language":"en","subjects":null,"doi":"10.1016/b978-0-443-33435-1.00009-7","url":"https://doi.org/10.1016/b978-0-443-33435-1.00009-7","is_open_access":true,"published_at":"","score":70},{"id":"crossref_10.1016/b978-0-443-33435-1.00013-9","title":"Nano-based textile dyeing and printing in technical textiles","authors":[{"name":"Shelly Khanna"},{"name":"Manisha Yadav"},{"name":"Nagender Singh"},{"name":"Amit Madhu"}],"abstract":"","source":"CrossRef","year":2026,"language":"en","subjects":null,"doi":"10.1016/b978-0-443-33435-1.00013-9","url":"https://doi.org/10.1016/b978-0-443-33435-1.00013-9","is_open_access":true,"published_at":"","score":70},{"id":"crossref_10.1016/b978-0-443-33435-1.00010-3","title":"Advances in nanomaterial-based textile dyeing and printing in the textile industry","authors":[{"name":"Mahmuda Akter"},{"name":"Aiasha Siddiqua"},{"name":"Maitree Howlader"},{"name":"Ibrahim Hossain"},{"name":"Habibur Rahman Anik"}],"abstract":"","source":"CrossRef","year":2026,"language":"en","subjects":null,"doi":"10.1016/b978-0-443-33435-1.00010-3","url":"https://doi.org/10.1016/b978-0-443-33435-1.00010-3","is_open_access":true,"published_at":"","score":70},{"id":"crossref_10.1016/b978-0-443-33435-1.00004-8","title":"Introduction to nanotechnology and its application in textile dyeing and printing","authors":[{"name":"Akanksha Nautiyal"},{"name":"Sandeep Kidile"},{"name":"Shruti Ghadge"},{"name":"Sayandeep Debnath"}],"abstract":"","source":"CrossRef","year":2026,"language":"en","subjects":null,"doi":"10.1016/b978-0-443-33435-1.00004-8","url":"https://doi.org/10.1016/b978-0-443-33435-1.00004-8","is_open_access":true,"published_at":"","score":70},{"id":"crossref_10.1016/b978-0-443-33435-1.00014-0","title":"Nanobased textile dyeing and printing in interior design and home furnishings","authors":[{"name":"Kumar Ghosh"},{"name":"Chandra Jeet Singh"},{"name":"Harun Venkatesan"},{"name":"Archana Samanta"}],"abstract":"","source":"CrossRef","year":2026,"language":"en","subjects":null,"doi":"10.1016/b978-0-443-33435-1.00014-0","url":"https://doi.org/10.1016/b978-0-443-33435-1.00014-0","is_open_access":true,"published_at":"","score":70},{"id":"crossref_10.1016/b978-0-443-33435-1.00003-6","title":"Nano-based textile dyeing and printing in environmental monitoring and sustainability","authors":[{"name":"Danmei Sun"},{"name":"Madiha Ahmad"},{"name":"Muhammad Owais Raza Siddiqui"},{"name":"Kashif Iqbal"}],"abstract":"","source":"CrossRef","year":2026,"language":"en","subjects":null,"doi":"10.1016/b978-0-443-33435-1.00003-6","url":"https://doi.org/10.1016/b978-0-443-33435-1.00003-6","is_open_access":true,"published_at":"","score":70},{"id":"crossref_10.1016/b978-0-443-33435-1.00008-5","title":"Ethical aspects and environmental impacts of nanomaterial-based textile dyeing and printing","authors":[{"name":"Subhadeep Paul"},{"name":"Sourav Banerjee"},{"name":"S. Wazed Ali"},{"name":"S.N. Naik"}],"abstract":"","source":"CrossRef","year":2026,"language":"en","subjects":null,"doi":"10.1016/b978-0-443-33435-1.00008-5","url":"https://doi.org/10.1016/b978-0-443-33435-1.00008-5","is_open_access":true,"published_at":"","score":70},{"id":"crossref_10.1016/b978-0-443-33435-1.12001-7","title":"Copyright","authors":null,"abstract":"","source":"CrossRef","year":2026,"language":"en","subjects":null,"doi":"10.1016/b978-0-443-33435-1.12001-7","url":"https://doi.org/10.1016/b978-0-443-33435-1.12001-7","is_open_access":true,"published_at":"","score":70},{"id":"crossref_10.1016/b978-0-443-33435-1.01001-9","title":"Front Matter","authors":null,"abstract":"","source":"CrossRef","year":2026,"language":"en","subjects":null,"doi":"10.1016/b978-0-443-33435-1.01001-9","url":"https://doi.org/10.1016/b978-0-443-33435-1.01001-9","is_open_access":true,"published_at":"","score":70},{"id":"crossref_10.1016/b978-0-443-33435-1.00012-7","title":"Emerging technologies and applications of nanobased textile dyes and printing","authors":[{"name":"Chintan R. Madhu"}],"abstract":"","source":"CrossRef","year":2026,"language":"en","subjects":null,"doi":"10.1016/b978-0-443-33435-1.00012-7","url":"https://doi.org/10.1016/b978-0-443-33435-1.00012-7","is_open_access":true,"published_at":"","score":70},{"id":"arxiv_2501.15636","title":"Investigating Circularity in India's Textile Industry: Overcoming Challenges and Leveraging Digitization for Growth","authors":[{"name":"Suman Kumar Das"}],"abstract":"India's growing population and economy have significantly increased the demand and consumption of natural resources. As a result, the potential benefits of transitioning to a circular economic model have been extensively discussed and debated among various Indian stakeholders, including policymakers, industry leaders, and environmental advocates. Despite the numerous initiatives, policies, and transnational strategic partnerships of the Indian government, most small and medium enterprises in India face significant challenges in implementing circular economy practices. This is due to the lack of a clear pathway to measure the current state of the circular economy in Indian industries and the absence of a framework to address these challenges. This paper examines the circularity of the 93-textile industry in India using the C-Readiness Tool. The analysis comprehensively identified 9 categories with 34 barriers to adopting circular economy principles in the textile sector through a narrative literature review. The identified barriers were further compared against the findings from a C-readiness tool assessment, which revealed prominent challenges related to supply chain coordination, consumer engagement, and regulatory compliance within the industry's circularity efforts. In response to these challenges, the article proposes a strategic roadmap that leverages digital technologies to drive the textile industry towards a more sustainable and resilient industrial model.","source":"arXiv","year":2025,"language":"en","subjects":["econ.GN"],"url":"https://arxiv.org/abs/2501.15636","pdf_url":"https://arxiv.org/pdf/2501.15636","is_open_access":true,"published_at":"2025-01-26T18:46:15Z","score":69},{"id":"arxiv_2512.23612","title":"High-resolution 3D-printed plastic scintillators with tertiary dye","authors":[{"name":"Chandler Moore"},{"name":"Michael Febbraro"},{"name":"Juan Manfredi"},{"name":"Allen Wood"},{"name":"Daniel Rutstrom"},{"name":"Thomas Ruland"},{"name":"Brennan Hackett"},{"name":"Paul Hausladen"}],"abstract":"Additive manufacturing offers efficient production of plastic scintillators with nontrivial geometries using vat polymerization, allowing fabrication of geometries which would be difficult or even impossible to produce using conventional subtractive manufacturing. This work presents a novel photocurable scintillator formula that includes coumarin 450 as a tertiary dye to enable high-resolution 3D printing via the manipulation of the 405 nm cure light. Bulk photocured and 3D printed (with and without tertiary dye) samples were compared through observational assessment and spectral response. All samples showed pulse shape discrimination between neutron and gamma events. Inclusion of the tertiary dye has minimal impact on emission spectrum and light output, but significant impact on print resolution as shown by comparison of printed high-complexity geometries and feature resolution test objects. With the use of a cure-limiting dye, unsupported features, such as freestanding pillars, were resolvable down to 0.7 mm. Even finer resolution at or below 0.1 mm was achieved in fully supported, integrated structures printed with off-the-shelf 405 nm desktop 3D printer. Scintillators demonstrated a light output up to 50% of EJ-200 with a PSD figure of merit up to 1.35 at 0.9-1.1 MeVee.","source":"arXiv","year":2025,"language":"en","subjects":["physics.ins-det","nucl-ex","physics.app-ph"],"doi":"10.1088/1748-0221/20/10/P10043","url":"https://arxiv.org/abs/2512.23612","pdf_url":"https://arxiv.org/pdf/2512.23612","is_open_access":true,"published_at":"2025-12-29T17:13:25Z","score":69},{"id":"arxiv_2511.12234","title":"A Review of Statistical and Machine Learning Approaches for Coral Bleaching Assessment","authors":[{"name":"Soham Sarkar"},{"name":"Arnab Hazra"}],"abstract":"Coral bleaching is a major concern for marine ecosystems; more than half of the world's coral reefs have either bleached or died over the past three decades. Increasing sea surface temperatures, along with various spatiotemporal environmental factors, are considered the primary reasons behind coral bleaching. The statistical and machine learning communities have focused on multiple aspects of the environment in detail. However, the literature on various stochastic modeling approaches for assessing coral bleaching is extremely scarce. Data-driven strategies are crucial for effective reef management, and this review article provides an overview of existing statistical and machine learning methods for assessing coral bleaching. Statistical frameworks, including simple regression models, generalized linear models, generalized additive models, Bayesian regression models, spatiotemporal models, and resilience indicators, such as Fisher's Information and Variance Index, are commonly used to explore how different environmental stressors influence coral bleaching. On the other hand, machine learning methods, including random forests, decision trees, support vector machines, and spatial operators, are more popular for detecting nonlinear relationships, analyzing high-dimensional data, and allowing integration of heterogeneous data from diverse sources. In addition to summarizing these models, we also discuss potential data-driven future research directions, with a focus on constructing statistical and machine learning models in specific contexts related to coral bleaching.","source":"arXiv","year":2025,"language":"en","subjects":["stat.AP","stat.ML"],"url":"https://arxiv.org/abs/2511.12234","pdf_url":"https://arxiv.org/pdf/2511.12234","is_open_access":true,"published_at":"2025-11-15T14:22:56Z","score":69},{"id":"doaj_10.1080/15440478.2025.2502662","title":"Machine Learning Model Coupled with Graphical User Interface for Predicting Mechanical Properties of Flax Fiber","authors":[{"name":"T. Nageshkumar"},{"name":"Prateek Shrivastava"},{"name":"L. Ammayapan"},{"name":"Manisha Jagadale"},{"name":"L. K. Nayak"},{"name":"D. B. Shakyawar"},{"name":"Indran Suyambulingam"},{"name":"P. Senthamaraikannan"},{"name":"R. Kumar"}],"abstract":"Machine learning model coupled with graphical user interface was developed to predict mechanical properties of flax fiber. The experiment was conducted using test setup which applies constant rate of loading (CRL). Flax fiber was tested under five independent parameters i.e, type of fiber (Tf), moisture content (Mc), weight of sample (Ws), gauge length (Gl) and loading rate (Lr) with response variables, i.e., breaking load and elongation. In this study, a total of 432 patterns of input and output parameters obtained from laboratory experiments were used to develop machine learning algorithms (Random forest, support vector, and XGBoost). Among the machine learning models, random forest regressor yielded high R2 value, low mean squared error (MSE), and mean absolute error (MAE). The SHapley Additive exPlanations (SHAP) analysis was performed and found sample weight and gauge length were the most influential features for breaking load and elongation, respectively. The developed GUI, integrated with a random forest regressor, predicted breaking load and elongation with an error range of −2.5% to 2.3% for raw fiber and 1.5% to 6.5% for cleaned fiber. The developed GUI coupled random forest regressor can be used to predict the mechanical properties of fibers with ease.","source":"DOAJ","year":2025,"language":"","subjects":["Science","Textile bleaching, dyeing, printing, etc."],"doi":"10.1080/15440478.2025.2502662","url":"https://www.tandfonline.com/doi/10.1080/15440478.2025.2502662","is_open_access":true,"published_at":"","score":69},{"id":"doaj_10.3390/fib13020017","title":"Random Plasmonic Laser Based on Bismuth/Aluminum/Yttria/Silver Co-Doped Silica Fiber with Microcavity Shaped Tip","authors":[{"name":"José Augusto de la Fuente León"},{"name":"Ma. Alejandrina Martínez Gámez"},{"name":"José Luis Lucio Martinez"},{"name":"Alexander V. Kir’yanov"},{"name":"Karim Gibrán Hernández Chahín"},{"name":"Mukul Chandra Paul"}],"abstract":"In this study, we demonstrate a proof of principle of an all-fiber random laser due to the plasmonic effect. This was achieved with a fiber co-doped with bismuth/aluminum/yttria/silver in which a microsphere (microcavity) at the fiber’s tip was made using a splicing machine. The presence of bismuth and silver nanoparticles in the fiber along with bismuth–aluminum phototropic centers stands behind the observed phenomenon. The effect can be attributed to the in-pair functioning of this unit as an active medium and volumetric plasmonic feedback, resulting in lasing at 807 nm under 532 nm pumping with a notably low (~2 mW) threshold.","source":"DOAJ","year":2025,"language":"","subjects":["Chemicals: Manufacture, use, etc.","Textile bleaching, dyeing, printing, etc.","Biology (General)","Physics"],"doi":"10.3390/fib13020017","url":"https://www.mdpi.com/2079-6439/13/2/17","is_open_access":true,"published_at":"","score":69},{"id":"doaj_10.30509/jscw.2025.167359.1200","title":"شناسایی و ارزیابی پالت رنگ در کاشی‌کاری بنای گنبد سبز مشهد","authors":[{"name":"علیرضا طاهری مقدم"},{"name":"سمانه کاظم نژاد"}],"abstract":"گنبد سبز مشهد یکی از بناهای تاریخی دوره صفویه و تزیینات اصلی این آرامگاه شامل کاشی‌کاری‌های بیرونی متعلق به دوره پهلوی است. هدف از این پژوهش، شناسایی پالت رنگی کاشی‌کاری‌های گنبد سبز و تطبیق کمّی رنگ‌ها براساس سیستم رنگی NCS است. نظر به اهمیت و نقش محوری عنصر رنگ در هنر کاشی‌کاری ایرانی، این پژوهش در پی پاسخ به دو پرسش اساسی است: نخست آنکه معادل‌سازی کمّی پالت رنگی کاشی‌های بنای گنبد سبز براساس سیستم استاندارد رنگی NCS چیست؟ و دوم اینکه میزان فراوانی و قدرت رنگی در پالت کاشی‌کاری بنای گنبد سبز چگونه است و رنگ‌های غالب آن کدام هستند؟ روش گردآوری داده‌ها بر اساس مطالعات میدانی میدانی و از طریق انطباق سیستم رنگ NCS با کاشی‌های اصیل بنا است. در نتیجه تطبیق رنگ‌ها، ۱۲۲ کد رنگی از ۷ خانواده رنگی به دست آمد و با روش توصیفی-تحلیلی مورد بررسی و ارزیابی قرار گرفت. علاوه بر این، رنگ های غالب، قدرت رنگی و درصد تنوع رنگی نیز مشخص شد. نتایج نشان می‌دهد که هر چه رنگ‌ها روشن‌تر باشند، دامنه رنگی آن‌ها گسترده‌تر می‌شود و هر چه به سمت رنگ‌های تیره نزدیک می‌شویم، تنوع رنگی آن‌ها کاهش یافته و رنگ‌ها یکنواخت‌تر می‌شوند.","source":"DOAJ","year":2025,"language":"","subjects":["Building construction","Textile bleaching, dyeing, printing, etc.","Paints, pigments, varnishes, etc.","Engineering (General). Civil engineering (General)"],"doi":"10.30509/jscw.2025.167359.1200","url":"https://jscw.icrc.ac.ir/article_82056_566cacac8aa6212d60606ab46d3876dc.pdf","pdf_url":"https://jscw.icrc.ac.ir/article_82056_566cacac8aa6212d60606ab46d3876dc.pdf","is_open_access":true,"published_at":"","score":69}],"total":271340,"page":1,"page_size":20,"sources":["arXiv","DOAJ","CrossRef","Semantic Scholar"],"query":"Textile bleaching, dyeing, printing, etc."}