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Wearable haptics serve as an enhanced media to connect humans and VR/robots. The inevitable sweating issue in all wearables creates a bottleneck for wearable haptics, as the sweat/moisture accumulated in the skin/device interface can substantially affect feedback accuracy, comfortability, and create hygienic problems. Nowadays, wearable haptics typically gain performance at the cost of sacrificing the breathability, comfort, and biocompatibility. Here, we developed a fully integrated breathable haptic textile (FIBHT) to solve these trade-off issues, where the FIBHT exhibits high-level integration of 128 pixels over the palm, great stretchability of 400%, and superior permeability of over 657 g/m2/day (moisture) and 40 mm/s (air). It is a stand-alone haptic system totally composed of stretchable, breathable, and bioadhesive materials, which empowers it with precise, sweating/movement-insensitive and dynamic feedback, and makes FIBHT powerful for virtual touching in broad scenarios.

The magnetoelastic generator (MEG) is a fundamentally new platform technology to convert mechanical motions into electrical signals for sensing, therapeutics, and energy applications. Here, we present a protocol for fabricating and characterizing the MEG for personalized muscle physiotherapy when integrated into a wearable textile patch. We describe the steps for fabricating such a textile MEG, including the magnetomechanical coupling (MC) and magnetic induction (MI) layers, and characterizing their magnetoelastic and electrical properties. We then detail procedures for monitoring muscle biomechanical activities and muscle physiotherapy application. For complete details on the use and execution of this protocol, please refer to Xu et al.1.

During the post-war boom, unemployment among textile and garment workers in Europe and North America increased. Trade unionists attributed the textile crisis primarily to an increased supply of inexpensive textile and garment products on the global market, produced in Asia by low-wage labour. The aim of this article is to analyse the responses of European and North American unionists to the perceived threat posed by Hong Kong in particular. Specifically, it explores the efforts of the International Textile and Garment Workers’ Federation (ITGWF) to unionise workers in Hong Kong during the 1960s. It argues that the textile crisis in Europe and North America prompted both a reassessment of the scope of international trade unionism and a strengthening of mechanisms to engage in internationalism. The unionists contended that stronger unions could negotiate more favourable conditions, thereby mitigating the low-wage threat to European and North American industries, while simultaneously raising living standards in Asia. In the end, however, the results in Hong Kong were limited. Although the ITGWF appointed an Asian-born trade unionist to work on the ground, the mission’s perspective remained predominantly European/North American. The campaign faced considerable suspicion, with critics perceiving it as primarily funded by European and North American unions to alleviate domestic unemployment rather than advance genuine internationalism. [ABSTRACT FROM AUTHOR]

Wrinkling, a common manufacturing-induced defect, can be delayed in dry woven fabrics by applying tension during processing. Such a known solution in industrial practice, is still not sufficiently implemented in the modeling and simulation of woven fabrics. This study proposes a new constitutive model considering fabric's inherent coupling, non-orthogonality, and non-linearity. First, the intrinsic coupling in question is distinguished from the typical coupling presented by the Hook's law. Then, the most influential forms of coupling are chosen and introduced to the model. Moreover, via experimental evidence, we reveal that the concept of inherent coupling raises a new issue: the load history dependency of the fabric. Accordingly, the base model was evolved to a hypoelastic form to capture this dependency. The stiffness functions of the introduced model are determined, considering the mechanical behavior of a typical polypropylene (PP)/glass plain weave and the underlying meso-scale sources of the coupling. An inverse method was employed to identify the unknown model parameters. While the basic loading modes such as the uniaxial tension and picture frame tests are utilized for model calibration, the more complex loading conditions such as the simultaneous biaxial tensile-shear test, which would be more comparable to actual forming processes, are selected as the independent datasets to validate accuracy of the model. Comparisons with the experimental results demonstrated that the coupled model predicts the behavior of the fabric more accurately than the uncoupled model. [ABSTRACT FROM AUTHOR]

The textile industry's rapid growth and reliance on synthetic fibres have generated significant environmental pollution, highlighting the urgent need for sustainable waste management practices. Chemical recycling offers a promising pathway to reduce textile waste by converting used fibres into valuable raw materials, yet technical challenges remain due to the complex compositions of textile waste, such as dyes, additives, and blended fabrics. [ABSTRACT FROM AUTHOR]

3D fabric composites generally have significant thickness in a monolithic structure eliminating the need for multi-ply laminates. 3D fabric preforms have given significant boost to the composite industry by reducing one of the major failure modes, i.e., delamination. In the past few decades, an enormous amount of researches has been conducted in the domain of 3D woven fabric composites highlighting their structure-property relationships. There are 459 research articles related to 3D fabric composites in Scopus-indexed journals. The objective of this review is to summarise the extant literature, highlighting the current research trends, thematic research areas, structure-property relationships, and future research directions of 3D fabric composites. This review amalgamates bibliometric and content analyses to identify the dominant research themes within the 3D woven composite area. Content analysis of the research papers has revealed that the properties of 3D fabric composites depend on structural parameters such as weave design, binding step, binding depth, and stuffer-to-binder ratio. However, the results of these studies on the role of structural parameters are often divergent, implying that there is a need for more systematic research on the structure-property relationships of 3D fabric composites. [ABSTRACT FROM AUTHOR]

Accurate detection of fabric defects is crucial for quality control in the textile industry. However, the task of fabric defect detection remains highly challenging due to the complex textures and diverse defect patterns. To address the issues of inaccurate localization and false positives caused by complex textures and varying defect sizes, this paper proposes an improved YOLOv8-based fabric defect detection method. First, Dynamic Snake Convolution is introduced into the backbone network to enhance sensitivity to elongated and subtle defects, improving the extraction of edge and texture details. Second, a Channel Priority Convolutional Attention mechanism is incorporated after the Spatial Pyramid Pooling layer to enable more precise defect localization by leveraging multi-scale structures and channel priors. Finally, the feature fusion network integrates Partial Convolution and Efficient Multi-scale Attention, optimizing the fusion of information across different feature levels and spatial scales, which enhances the richness and accuracy of feature representations while reducing computational complexity. Experimental results demonstrate a significant improvement in detection performance. Specifically, mAP@0.5 increased by 2.9%, precision improved by 3.5%, and mAP@0.5:0.95 rose by 2.3%, highlighting the model's superior capability in detecting complex defects. The project is available at https://github.com/lilian998/fabric. [ABSTRACT FROM AUTHOR]

The red pigment was recovered from the S. phaeolivaceus GH27 isolate, which was molecularly identified using 16S rRNA gene sequencing and submitted to GenBank as OQ145635.1. The ideal growth conditions included 1% (w/v) starch, diammonium citrate, dibasic sodium phosphate, 5% (v/v) inoculum, pH 8, a rotation speed of 150 rpm, a temperature of 37 °C, and an incubation period of 9 days. Using ethanol as a solvent, the red pigment was effectively recovered. Data indicates that pigment content remained steady at 40 and 50 °C. Heating the pigment extract to 60, 70, 80, 90, and 100 °C for one hour results in pigment retention of 98%, 96.5%, 95.5%, 94.6%, and 92.6% of its pigment density, respectively. Studies indicate that the pigment extracts exhibited optimal stability at alkaline pH levels. The findings demonstrate that the red pigment extract has a peak absorbance range of 280–340 nm, with a λmax of 300 nm. GC/MS analysis revealed that the primary components of the pigment extract were linolenic acid methyl ester and oleic acid methyl ester, constituting 26.41% and 25.25%, respectively. Fabrics dyed with extracted red pigment exhibit excellent fastness when using the comprehensive green method. In comparison to conventional and nanotechnological attributes, printed samples exhibit significant color strength without environmental repercussions. The treatment of cotton, wool, and polyester samples suppressed pathogen growth to differing extents. Polyester had the most important inhibitory effects on Staphylococcus aureus (50.03%) and Bacillus cereus (39.49%). The ADME physicochemical properties of the predominant medication were assessed, together with its bioavailability. The radar plot demonstrated ideal parameters for size, polarity, lipophilicity, solubility, and saturation, excluding flexibility. It exhibited intermediate synthetic accessibility, exceptional permeability and absorption, elevated gastrointestinal absorption, and blood–brain barrier penetration; nonetheless, it did not adhere to the medicinal chemistry rule of three. [ABSTRACT FROM AUTHOR]

Copyright of Cuadernos del Centro de Estudios de Diseño y Comunicación is the property of Cuadernos del Centro de Estudios de Diseno y Comunicacion 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 abstract 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 abstract. (Copyright applies to all Abstracts.)

Copyright of Cuadernos del Centro de Estudios de Diseño y Comunicación is the property of Cuadernos del Centro de Estudios de Diseno y Comunicacion 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 abstract 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 abstract. (Copyright applies to all Abstracts.)

Color has become an essential element in our communication and our judgment on products. In textile, the formulation of any color is an essential process to ensure color continuity from the master standard to all subsequent production batches. Indeed, the objective is to normalize its reproduction all along the color reproduction procedure. In the literature, researches concerning textile color formulation are important, so this review focuses on these different techniques and methods of color matching for dye mixtures and precolored fiber blends. This step involves determining the dyes or fibers to use (alone or in mixtures) and their appropriate proportions to reproduce the wanted colors. The main techniques used for dye mixtures are based on colorimetric, spectrophotometric, and artificial intelligence techniques. While for precolored fiber mixtures the used techniques are dived into theoretical and experimental models. In addition to the review of these different techniques, a quantitative analysis was carried out. [ABSTRACT FROM AUTHOR]

Polyethylene terephthalate (PET) is a versatile polymer widely used in textiles because of its chemical stability, mechanical strength, and ease of processing. However, the increasing consumption of PET, particularly in the textile industry, has led to significant environmental concerns owing to its resistance to degradation. To address these issues, chemical recycling methods, particularly glycolysis, have attracted attention for depolymerizing PET into valuable monomers for repolymerization. This review focuses on recent advances in catalysts for PET glycolysis, with special emphasis on their application in textile recycling. We categorized the catalysts into homogeneous and heterogeneous types and discussed their effectiveness in reducing the reaction temperatures and times, thereby decreasing energy consumption and operational costs. Although homogeneous catalysts achieved efficient depolymerization at lower temperatures, their post-reaction separation and purification steps remain challenging and costly. In contrast, heterogeneous catalysts offer simpler separation processes but require significant energy input. Research on the application of glycolytic catalysts in fiber recycling was also highlighted, considering the substantial use of PET in the textile industry. Finally, we suggested future research directions for developing cost-effective and sustainable catalysts that are applicable to PET fibers with the aim of enhancing the efficiency and environmental sustainability of PET recycling processes. [ABSTRACT FROM AUTHOR]

Copyright of China Rubber Industry is the property of Editorial Office of China Rubber Industry 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 abstract 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 abstract. (Copyright applies to all Abstracts.)

In order to evaluate fabric style better, 20 down jacket fabrics of different types (material, structure, warp and weft density, surface texture) were selected for a variety of sensory style evaluations, including touch, vision and auditory sense, so as to understand the characteristics and quality of the fabrics more comprehensively. Based on the principal component analysis of 16 indexes obtained by the comprehensive handle evaluation system for fabrics and yarns (CHES-FY test), five principal components and comprehensive handle evaluation models were obtained. Various sensorial analyses were used to explore the relationship between tactile style, visual style, and auditory style. In order to combine the tactile, visual, and auditory styles to evaluate fabrics, a multi-sensory style evaluation instrument was developed based on the CHES-FY system. The results showed that there was significant correlation among the three sensory style indicators. By comparing the results obtained from the multi-sensory style evaluation instrument with other instruments, it was concluded that this instrument can simply evaluate the fabric style, combine the three senses of vision, touch, and hearing, provide a variety of combination information, enhance the availability of the instrument, and provide a new idea for the design of the fabric style evaluation instruments. [ABSTRACT FROM AUTHOR]

This work is to evaluate ultraviolet protection of treated silk fabrics with extracts from Clitoria ternatea (CT) flowers under the effects of dyeing concentration, temperature, time, and mordanting agents (including FeSO4.7H2O, CuSO4.5H2O, and KAl(SO4)2.12H2O). The obtained results showed that ultraviolet protection factor (UPF) increased with CT concentration up to 80% on weight fabric (owf) then reached for an equilibrium behavior. The FTIR spectra were demonstrated the existence of anthocyanin content on dyed silk fabrics. Also, ultraviolet protection of dyed sample with anthocyanin of CT extracts achieved the highest UPF values at 70 °C and in 70 min. Besides, complex formation on dyed silk sample with anthocyanin dyes increased color strength (K/S) and UPF. Finally, UPF values of all treated samples without and with mordants decreased with washing cycles but it still maintained the values of 50+, thereby being excellent applications in sun-protective clothes and outdoor fabrics. [ABSTRACT FROM AUTHOR]

AbstractSeveral historical written sources informs that fibers from the nettle family (Urticaceae) have been used in Scandinavian textile production. Despite this, the limited evidence of preserved nettle textiles brings this into doubt, as no complete textile of local origin has been identified. Everyday textiles made of locally grown plants have generally not been preserved to the same extent as more special textiles, and for that reason their fiber content has not been determined by conclusive methods. Special textiles are often found in ceremonial contexts and are generally made of flax (Linum usitatissimum) and/or hemp (Cannabis sativa). In our search for evidence of a complete textile made in Scandinavia of native nettles (Urtica dioica or Urtica urens) we found a well-known object, a bed sheet from 1827 purportedly woven of nettle, stored at the National Museum in Copenhagen. However, fiber analysis revealed it is made of hemp or possible hop (Humulus lupulus), or a blend of the two. Our examination reveals that historical written sources and plant fiber analysis must be critically examined. From the late 18th to the early 20th centuries botanists included both hemp and hop in the nettle family, causing misinterpretations of “nettle” botany, cultivation, and textile production. [ABSTRACT FROM AUTHOR]

In the context of defect detection during the preform preparation stage in carbon fiber composite liquid molding processes, this study proposed three machine vision-based automatic detection methods, i.e. Gabor filter-assisted detection (GFAD), morphological processing-assisted detection (MPAD), and integral image-assisted detection (IIAD). These methods were evaluated on carbon fiber fabric images containing nine different types of defects, considering four evaluation aspects. The experimental results demonstrated the effectiveness of these three methods in defect detection. Among them, the best-performing method achieved a detection accuracy of over 90% for defect sizes and a recognition rate of 98% for defects. [ABSTRACT FROM AUTHOR]

Flexible sensors hold significant promise for wearable monitoring and rehabilitation training applications. However, current flexible strain sensors struggle to compatible their sensing performance and fabrication with textile substrate and weaving technologies, which limits the practical applications of flexible sensors in commercial markets for electronic wearables. Differing from traditional strategies that rely on sophisticated construction of functional materials, leveraging industrial braiding, and weaving technologies, an all‐textile‐based pseudo‐triaxial mechanosensory textile (PTMT) is designed by engineering the wrapping pattern, yarn twist, and fabric architecture. The switchable hierarchically‐structured morphing of the PTMT enables an ultra‐wide strain detection range (up to 140%) along with desirable sensitivity. Moreover, the PTMT shows outstanding air permeability (1915 mm s−1), moisture permeability (1922 g m−2 h−1), high washability, and electromagnetic interference shielding (20.25 dB). The potential applications of PTMT are also demonstrated, such as in simulating fetal‐movement in pregnant women, proving its effectiveness in fetal‐movement health monitoring. Furthermore, by integrating the PTMT into shoe vamps and combining it with machine learning algorithms (CNN, RF, and PSO‐SVM), it is proved that PSO‐SVM outperformed CNN and RF in accuracy and stability, achieving a combined recognition accuracy of 95.42%. [ABSTRACT FROM AUTHOR]

This study presents STF/Fabric composite configurations by impregnating single‐phase shear thickening fluids (S‐STF) and multi‐phase shear thickening fluids (M‐STF) into aramid fabrics. S‐STFs were first prepared at different concentrations by weight (25%, 40%, 55%, and 65%). In addition, M‐STFs were produced by adding silicon carbide (SiC) additive to S‐STFs. As a result of the impregnation of the produced STFs on Aramid fabrics, 30‐layer composite samples were prepared. To determine the ballistic performance of the produced samples, tests were carried out with a single‐stage gas gun system. The shots were performed at an average velocity of 670 m/s. Ballistic tests show that STF‐impregnated fabric samples have better ballistic performance compared to fabric without STF. The STF65/Aramid sample is notable for a 238% increase in energy absorption. In addition, the STF40SiC10/Aramid composite sample produced with M‐STF was found to absorb 18.7% more energy compared to the STF40/Aramid sample. It has been confirmed that keeping the weight ratio of the additive at an optimum level will contribute to ballistic performance. These results contributed to determining the optimum concentration amount for STF/Aramid composites at high speed. Highlights: S‐STF and SiC additive M‐STFs were produced.STFs were impregnated into 30‐layer Aramid fabrics.Ballistics tests were performed on S‐STF/Aramid and M‐STF/Aramid composite samples with a single‐stage gas gun system.The effects of S‐STF and M‐STF on ballistic performance were investigated.The addition of STF enhanced ballistic performance by increasing energy absorption. [ABSTRACT FROM AUTHOR]

Currently, fabric defect detection methods predominantly rely on CNN models. However, due to the inherent limitations of CNNs, such models struggle to capture long-distance dependencies in images and fail to accurately detect complex defect features. While Transformers excel at modeling long-range dependencies, their quadratic computational complexity poses significant challenges. To address these issues, we propose combining CNNs with Transformers and introduce Kolmogorov–Arnold Networks (KANs) to enhance feature extraction capabilities. Specifically, we designed a novel network for fabric defect segmentation, named HKAN, consisting of three components: encoder, bottleneck, and decoder. First, we developed a simple yet effective KANConv Block using KAN convolutions. Next, we replaced the MLP in PoolFormer with KAN, creating a lightweight KANTransformer Block. Finally, we unified the KANConv Block and the KANTransformer Block into a Hybrid KAN Block, which serves as both the encoder and bottleneck of HKAN. Extensive experiments on three fabric datasets demonstrate that HKAN outperforms mainstream semantic segmentation models, achieving superior segmentation performance and delivering prominent results across diverse fabric images. [ABSTRACT FROM AUTHOR]

Selective adsorption plays an important role in the resource utilization of dye wastewater. Hydrated calcium silicate (CSH), as an ideal adsorption material, is successfully compounded on the surface of polypropylene (PP) fibric by quasi‐solid‐phase method, and porous calcium silicate film is formed on the surface of PP fabric. The contact angle of the surface of PP fibers is changed from 130.7° to 62.4° due to the hydrophilic characteristics of CSH and polyvinyl alcohol. The adsorption for dyes shows obvious selectivity, and the removal ratio for methylene blue can reach more than 90%, while there is almost no adsorption for methyl orange. The obvious selectivity can be attributed to the electrostatic interaction between CSH and dyes. CSH contains silicate anion chains, resulting in a large number of negatively charged sites distributed on the surface, which may be the main reason for the adsorption for cationic dyes through electrostatic interactions. The investigation of adsorption kinetics shows that the formation of coordination bonds between calcium silicate and methylene blue will also lead to further enhancement of adsorption capacity. [ABSTRACT FROM AUTHOR]

The π-extension of carbon nanorings towards ultrashort carbon nanotubes (CNTs) is a great challenge for synthetic chemists. Herein, we report the synthesis, characterization, and properties of a nanographene-embedded carbon nanoring (NECR) by a direct zipper method. In this approach, a long linear phenyl chain is fused onto the CPP backbone by a simple Scholl reaction, similar to zipping two pieces of fabric together. Its photophysical properties were studied by UV-vis and photoluminescence spectroscopy. The potential application of NECR in electron-transport devices were further investigated. [ABSTRACT FROM AUTHOR]

Integrating nanoparticles into textiles represents a crucial intersection between nanotechnology and the textile industry, fundamentally transforming the process of designing, producing and utilizing fabrics. Nanoparticles enhance textile materials by introducing novel features such as antibacterial capabilities, UV protection, flame retardancy and enhanced mechanical strength. These improvements result in fabrics that are more intelligent, highly efficient and environmentally sustainable. They also optimize production processes and provide cutting-edge product designs. Nevertheless, the extensive adoption of nanoparticle technology in textiles encounters notable obstacles, such as those related to nanoparticle dispersion, longevity and compatibility with different substrates. Furthermore, the need for sustainable production processes and the creation of environmentally friendly nanoparticle compositions is driven by concerns regarding environmental impact and toxicity. Nanotechnology, if applied to these difficulties, has the capacity to reduce environmental dangers and introduce a new era of textiles that are both highly functional and in line with global sustainability objectives. This review will examine the techniques used to incorporate nanoparticles into textiles, the advantages of doing so, the assessment of their performance and the considerations about their long-term viability. [ABSTRACT FROM AUTHOR]

Copyright of Melliand International is the property of dfv Mediengruppe 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 abstract 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 abstract. (Copyright applies to all Abstracts.)

This study optimises secondary textile dyeing wastewater removal using fluidised-bed Fenton (FBR-Fenton) and standard Fenton processes for chemical oxygen demand (COD) and colour removal efficiency. The Box–Behnken response surface approach optimised pH, iron ion concentration, and hydrogen peroxide concentration. At pH 3.3, [Fe2+] = 2.6 mm, [H2O2] = 6.4 mm in the fluidised bed reactor with 67 g/L quartz sand, with a 50% bed expansion after 40 min, the FBR-Fenton process removed 75.8% COD and 98.0% colour. The standard Fenton method was tuned to pH 3.2, [Fe2+] = 3.1 mm, [H2O2] = 6.6 mm, and COD and colour removal effectiveness of 69.7% and 97.5%, respectively. FBR-Fenton enhanced COD and total iron removal efficiency, reduced chemicals, and reduced sludge by 28.0% compared to conventional Fenton. This study also showed quartz sand reusability in FBR-Fenton treatment cycles. Experimental results matched response surface model predictions, proving regression equation correctness. [ABSTRACT FROM AUTHOR]

The article discusses the Cu Fibers 2024 exhibition at the Wari Watai studio, showcasing textile pieces made from hemp, cotton, and copper. The exhibition focuses on exploring materials and techniques without confining them to specific purposes, emphasizing creativity and experimentation. The exhibition reflects a new era of textiles in India that draws from tradition while responding to contemporary contexts, highlighting the evolving movement in Indian textiles. [Extracted from the article]

Nowadays, surface‐enhanced Raman spectroscopy (SERS) has become a powerful tool for rapidly detecting and analyzing textile cultural relics due to its ability to provide chemical information with single‐molecule sensitivity. However, preserving a high level of detection sensitivity while avoiding sample damage remains a persistent challenge. In this work, we developed a SERS approach with both microextraction and detection functions. The alcohol–water droplet with iodide‐modified Au nanoparticles (AuIMNPs) is directly dropped on the textile, where dyes strongly bound on textiles can be extracted by ethanol (EtOH). As a result, the sample can be well preserved from being damaged. In particular, the volatility of EtOH allows the molecules to be captured in the hot spots through the capillary effect during droplet evaporation, resulting in a dramatic increase in Raman signal intensity. This highly sensitive strategy can be used to measure dyes in plant extracts and mock‐up textiles. Furthermore, the capability of SERS to provide fingerprint information allows us to distinguish different dyes in overdyeing textiles. Eventually, this approach is successfully applied to identify dyes of authentic ancient Chinese textiles. This rapid, universal, and negligibly invasive approach provides a powerful way to study textile cultural relics. [ABSTRACT FROM AUTHOR]

In contrast to the common small target detection problems, it is more difficult to locate and identify the small surface defects of fabric due to its own texture and complex background interference. Therefore, this paper proposes an effective detector for small-scale block defects on fabric surface by taking advantage of the backbone which integrates the Coordinate Attention module to enhance the acquisition of small-scale block defect location information. The FPN + PAN multi-scale detection structure is adopted to effectively integrate the feature information between different levels and deal with the multi-scale problem of defects. In the Neck section, a small target detection layer is set to expand the receptive field to prevent the loss of small-scale defect feature information. Moreover, we propose to use the GhostBottleneck module instead of the ordinary downsampling process to eliminate redundant convolutional calculations to improve the detection speed. The experimental results show that the optimal detection results of 0.56 and 0.842 are achieved in the detection recall and accuracy of the public fabric dataset; compared with other detectors, the result of small-scale defect detection rate is reduced by at least 2.7%, and the detection process meets the real-time requirement of automatic defect detection, which verifies the effectiveness of our method. Code and data are available at: https://github.com/VIMLab-hfut/SCG-NET. [ABSTRACT FROM AUTHOR]

Wearable electronic textiles (e‐textiles) can provide comfortable and unobtrusive solutions for a wide range of applications, yet insufficient reliability is preventing a wider market success. Washability is a critical reliability concern, especially for textile integrated circuits that are permanently attached to the textile substrate. A variety of textile circuits on different textile substrates were subjected to up to 100 wash cycles to understand washing damages and failure modes, setting the basis for subsequent improvements for reliably washable e‐textiles. The research reveals shortcomings and vulnerabilities for each type of track, as well as their current washability level—which differs considerable across the tested circuits. Substrate properties directly influence the washing results. The results do not only provide valuable insight into how and at which points textile integrated circuits need to be optimized to improve washability, but also reveal which pairings of textile properties and circuit types result in more robust and reliabl e‐textiles. [ABSTRACT FROM AUTHOR]

Antifouling textiles have been a hot research field in the last ten years. But lately, the European Union (EU) is expected to ban the production of C6 fluorinated water repellent, oil repellent and antifouling agents from 2025, achieving complete fluoride-free antifouling measures. In the context of the current policy regulations on fluorine-free treatment in the waterproof, oil repellent and antifouling finishing field, this paper conducts a literature survey and comprehensive understanding of the current research status and trend in fluorine-free antifouling finishing. CiteSpace and Carrot2 are used to conduct a literature review of the latest papers in two databases, Web of Science (WoS) and China National Knowledge Infrastructure (CNKI). Firstly, the theoretical evolution and technical characteristics of textiles antifouling finishing technology are systematically discussed, and the technological differences of antifouling finishing textiles for different demands are compared. Secondly, the three main stages of the development of textile antifouling finishing technology and its corresponding finishing methods are summarized. Finally, three paths for the future development of fluorine-free antifouling finishing are prospected: construction of low surface energy, construction of uniform rough surface and low surface energy, and construction of multistage rough surface with low surface energy. To facilitate the transition of the industrial sector to fluorine-free, regulatory restrictions could be strengthened by enhancing the sampling inspection of apparel fabrics, detecting fluorine in wastewater discharges and restricting the production of fluorinecontaining finishing agents by manufacturers. [ABSTRACT FROM AUTHOR]

The research aims include reclaiming my culture and identity using traditional folk art crafts to create contemporary art. My experiences of displacement here in the United Kingdom are communicated by looking at cultural elements of myself through Sicilian folkloristic avenues such as cooking, food, rituals/practices and behaviours in spaces/places in the home. I am a mother of three who is constantly challenged by my many roles, e.g. mother/daughter/artist/lover... [ABSTRACT FROM AUTHOR]

Copyright of Philostrato is the property of Epiarte, S.L. 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 abstract 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 abstract. (Copyright applies to all Abstracts.)

Copyright of Wool Textile Journal is the property of National Wool Textile Science & Technology Information Center 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 abstract 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 abstract. (Copyright applies to all Abstracts.)

Copyright of China Fiber Inspection / Zhongguo Xian-Jian is the property of China Fiber Inspection 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 abstract 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 abstract. (Copyright applies to all Abstracts.)

Fabric defect detection is a crucial aspect of the textile industry. Currently, deep learning methods have demonstrated exceptional performance in fabric defect detection tasks. However, their performance is greatly affected by the number of defect samples, which is a challenge to obtain during actual production. To address this issue, this article proposes an unsupervised anomaly detection method for fabric defects using image reconstruction networks. This method only requires defect‐free samples for training. During the training phase, the model compresses defect‐free samples to obtain a low‐dimensional manifold and reconstruct them. During the inference phase, the method assesses whether a sample is defective by calculating the reconstruction error between the input and output images, and locates the defect region by computing the difference in various patches. Furthermore, since fabric contains rich texture features, with high correlation between neighbouring pixels, a structure similarity index measure combined with mean absolute error is introduced to evaluate the reconstruction error, which enhances the model's representation ability for defect‐free samples. Additionally, considering the diverse texture backgrounds in fabric, a multiscale reconstruction module is designed to optimise the reconstruction effect. Experimental results demonstrate that compared with other related approaches, the proposed method achieves high accuracy (image‐based area under the curve (AUC) up to 98.2% and pixel‐based AUC up to 97.3%) on multiple datasets and has good generalisation ability for different fabric textures. [ABSTRACT FROM AUTHOR]

The agriculture and agri-food sectors produce substantial amounts of plant-based waste. This waste presents an identifiable research opportunity to develop methods for effectively eliminating and managing it in order to promote zero-waste and circular economies. Plant-based waste and by-products are acknowledged as valuable sources of bioactive compounds, including cellulose fibers. Direct application of these fibers in non-food sectors such as textiles can reduce the environmental impact of secondary raw materials. This review aims to provide an overview of novel concepts and modern technologies for efficiently utilizing plant-based waste and by-products from the agricultural and agro-industrial sectors to extract fibers for a variety of final applications, including the fashion industry. Two major routes are identified to produce cellulose fibers: the extraction and purification of natural cellulose fibers and the extraction and purification of cellulose pulp that is further processed into manmade cellulosic fibers. Scalability of experimental results at the laboratory or pilot level is a major barrier, so it is critical to develop closed-loop processes, apply standardization protocols, and conduct life cycle assessments and techno-economic analyses to facilitate large-scale implementation. [ABSTRACT FROM AUTHOR]

Visualizing difference is central to ethnic tourism and intangible cultural heritage (ICH) performance in Southwest China today. The expectation that individuals in ethnic minority communities will always be dressed and ready to meet romanticized expectations, while otherwise living their lives, creates new subjectivities and refashions how people think about and interact with their traditional material practices. ICH interventions may promise support for minority cultural reproduction but can instead disincentivize the intergenerational transmission of skilled knowledge. At the same time, individuals are experimenting with new forms of entrepreneurial heritage-making that meet community needs without official ICH endorsement, including the development of small-scale ethnic fashion industries. Based on fieldwork in Baiku Yao and Sanjiang Dong communities in the Guangxi Zhuang Autonomous Region, this study highlights individuals engaged in the making, wearing, and marketing of minority dress on an expanding national stage. [ABSTRACT FROM AUTHOR]

Bacterial attachment and biofilm formation are associated with the contamination and fouling at several locations in a washing machine, which is a particularly complex environment made from a range of metal, polymer, and rubber components. Microorganisms also adhere to different types of clothing fibres during the laundering process as well as a range of sweat, skin particles, and other components. This can result in fouling of both washing machine surfaces and clothes and the production of malodours. This review gives an introduction into washing machine use and surfaces and discusses how biofilm production confers survival properties to the microorganisms. Microbial growth on washing machines and textiles is also discussed, as is their potential to produce volatiles. Changes in consumer attitudes with an emphasis on laundering and an overview regarding changes that have occurred in laundry habits are reviewed. Since it has been suggested that such changes have increased the risk of microorganisms surviving the laundering process, an understanding of the interactions of the microorganisms with the surface components alongside the production of sustainable detergents to meet consumer demands are needed to enhance the efficacy of new antimicrobial cleaning agents in these complex and dynamic environments. [ABSTRACT FROM AUTHOR]