AATCC Journal of Research最新文献_第4页

Evaluating the Performance of Per- and Polyfluoroalkyl Substance Finishes on Upholstery Fabrics 全氟烷基和聚氟烷基整理剂在装饰织物上的性能评价

IF 0.7 4区工程技术

AATCC Journal of Research Pub Date : 2023-04-03 DOI: 10.1177/24723444231159856

Jonas LaPier, A. Blum, Brandon R. Brown, Carol F. Kwiatkowski, Betsy Phillips, Hannah Ray, Gang Sun

{"title":"Evaluating the Performance of Per- and Polyfluoroalkyl Substance Finishes on Upholstery Fabrics","authors":"Jonas LaPier, A. Blum, Brandon R. Brown, Carol F. Kwiatkowski, Betsy Phillips, Hannah Ray, Gang Sun","doi":"10.1177/24723444231159856","DOIUrl":"https://doi.org/10.1177/24723444231159856","url":null,"abstract":"Per- and polyfluoroalkyl substances are widely used to provide a hydrophobic and oleophobic barrier in some fabric finishing. Per- and polyfluoroalkyl substances are a class of harmful chemicals that persist in the environment and our bodies. For indoor upholstery, these finishes are used to prevent staining. In this study, we examined the effectiveness of certain per- and polyfluoroalkyl substance finishes on commercial indoor fabrics for liquid repellency and stain performance. Three fabrics, each with an unfinished control, a dip finish, and a foam finish, were tested with coffee and oil-based salad dressing stains, two dwell times, two stain application procedures, and three abrasion conditions. Oil stain severity was affected by fabric type, finish, dwell time, and application procedure, but not abrasion. For water-based coffee stains, only fabric type had an effect. Droplet contact angle tests were also performed, revealing water and oil repellency is quickly lost with abrasion. Of the six per- and polyfluoroalkyl substance-finished fabrics tested, five showed small improvements in stain performance over unfinished fabrics; however, the performance differences between fabric types were much larger than the benefits from finishes. For oil stains, per- and polyfluoroalkyl substance finishes help in ideal conditions when the finish is unabraded, stains are set gently on the fabric, and stains are cleaned quickly. Our results suggest that the use of per- and polyfluoroalkyl substances on indoor furniture can be considerably reduced through intentional material selection to achieve better stain performance in lieu of per- and polyfluoroalkyl substance finishes.","PeriodicalId":6955,"journal":{"name":"AATCC Journal of Research","volume":null,"pages":null},"PeriodicalIF":0.7,"publicationDate":"2023-04-03","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"42714295","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":4,"RegionCategory":"工程技术","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 0

Geometrically Accurate Three-Dimensional Infant Thermoregulation Models Based on Finite Element Method 基于有限元法的几何精确三维婴儿体温调节模型

IF 0.7 4区工程技术

AATCC Journal of Research Pub Date : 2023-04-02 DOI: 10.1177/24723444231161743

Ma Liang, Li Jun

{"title":"Geometrically Accurate Three-Dimensional Infant Thermoregulation Models Based on Finite Element Method","authors":"Ma Liang, Li Jun","doi":"10.1177/24723444231161743","DOIUrl":"https://doi.org/10.1177/24723444231161743","url":null,"abstract":"The core and skin temperature of an infant are essential physiological indicators of the baby’s health and an important reference in the selection of baby clothing. The main idea for this is that parents often wrap their infants in covers and clothing based on their own subjective experience, and infants do not have the ability to express themselves verbally, which is likely to result in over- or under-wrapping, leading to babies feeling too hot or too cold and even causing illness. Accurately predicting and determining infants’ skin and core temperatures at different ambient temperatures is a critical concern in infant clothing research. While the overall skin temperature of infants cannot be understood using traditional body temperature robotic measurements, this article develops a three-dimensional infant thermoregulation model with a geometrical appearance similar to an accurate infant model based on finite element method. Through geometric model construction, cell meshing, boundary condition loading, and user-defined functions program debugging, infants’ body surface and core temperature distribution under different ambient temperatures are calculated. The results were compared with published clinical temperature tests and validated, which were in good agreement with the actual test results and proved the validity of the model calculation. Providing a new method for infant temperature prediction, the findings of this study put forward a scientific reference for infant dressing selection and research on intelligent clothing.","PeriodicalId":6955,"journal":{"name":"AATCC Journal of Research","volume":null,"pages":null},"PeriodicalIF":0.7,"publicationDate":"2023-04-02","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"45937881","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":4,"RegionCategory":"工程技术","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 0

Toxicity Impact Assessment of Nitrogen Oxide and Sulfur Dioxide Emissions in China’s Textile Industry With Chemical Footprint Method 化学足迹法对中国纺织工业氮氧化物和二氧化硫排放的毒性影响评价

IF 0.7 4区工程技术

AATCC Journal of Research Pub Date : 2023-03-29 DOI: 10.1177/24723444231161744

Yiqi Guo, Lisha Zhu, Xiangyu Ye, Xiaopeng Wang, Yu Xu, Gao Qian, Laili Wang

{"title":"Toxicity Impact Assessment of Nitrogen Oxide and Sulfur Dioxide Emissions in China’s Textile Industry With Chemical Footprint Method","authors":"Yiqi Guo, Lisha Zhu, Xiangyu Ye, Xiaopeng Wang, Yu Xu, Gao Qian, Laili Wang","doi":"10.1177/24723444231161744","DOIUrl":"https://doi.org/10.1177/24723444231161744","url":null,"abstract":"Emissions of air pollutants cause adverse impacts on human health and the environment. As typical air pollutants, nitrogen oxide and sulfur dioxide cause acid rain and particulate matter (PM). Significant emissions of nitrogen oxide and sulfur dioxide in the production phases make the textile industry face tremendous challenges. Determining the chemical footprint is an effective method for transforming the potential environmental risks of pollutant emissions into an intuitive form of toxicity. In this study, we adopted the chemical footprint method to assess the toxicity impact of nitrogen oxide and sulfur dioxide emissions from China’s textile industry. The results indicate that the chemical footprint of nitrogen oxide and sulfur dioxide in China’s textile industry showed a significant decreasing trend from 2001 to 2019, and the chemical footprint of nitrogen oxide was about 11 times higher than that of sulfur dioxide. Among the three sub-sectors of China’s textile industry, the textile manufacturing sector had the highest chemical footprint, accounting for 57.1–65.7% of the total chemical footprint. The remaining chemical footprint is allocated to the chemical fibers manufacturing sector, and the textile wearing apparel, footwear, and cap manufacturing sector. The chemical footprint intensity of China’s textile industry also showed a decreasing trend from 2006 to 2015, and the chemical footprint intensity of the three sub-sectors was in the order of the chemical fibers manufacturing sector, the textile manufacturing sector, and the textile wearing apparel, footwear, and cap manufacturing sector.","PeriodicalId":6955,"journal":{"name":"AATCC Journal of Research","volume":null,"pages":null},"PeriodicalIF":0.7,"publicationDate":"2023-03-29","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"48658889","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":4,"RegionCategory":"工程技术","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 0

Design and Fabrication of Bistratal Functional Anionic Polyurethane Membrane on the Surface of Cashmere Fiber Based on Foaming Micro-Coating and the Studies of its Structure–Activity Relationships 基于发泡微涂层的羊绒纤维表面双极性功能阴离子聚氨酯膜的设计与制备及其构效关系研究

IF 0.7 4区工程技术

AATCC Journal of Research Pub Date : 2023-02-15 DOI: 10.1177/24723444221147981

H. Quan, Yang Wang, Lin Xu, Jingzhi Ren, Zengfeng Wei

{"title":"Design and Fabrication of Bistratal Functional Anionic Polyurethane Membrane on the Surface of Cashmere Fiber Based on Foaming Micro-Coating and the Studies of its Structure–Activity Relationships","authors":"H. Quan, Yang Wang, Lin Xu, Jingzhi Ren, Zengfeng Wei","doi":"10.1177/24723444221147981","DOIUrl":"https://doi.org/10.1177/24723444221147981","url":null,"abstract":"This research aims to reinforce the hand-feeling and washing fastness of anti-pilling and antistatic cashmere textiles based on a traditional “addition” technique. The technical proposal that effectively controls the distribution of polymer on cashmere textiles, based on foaming micro-coating technology, is studied and compared to prevent the superabundant polymer being fixed in the gaps between yarns/fibers and to ensure the graphene is semi-embedded in the membrane of “Table coating.” A couple of flexible hydrophilic anionic polyurethanes are used in micro-coating processing of cashmere purposefully. The effects of different coating technique on pilling, static, anti-ultraviolet, and washing resistance of coated cashmere textiles are studied. The results show that the semi-embedded graphene in the table coating membrane is meaningful to the static resistance. The pilling resistance of cashmere textile covered by polymer membranes is enhanced from grade 1–2 to grade 4–5 when the weight gain rate of “Bottom coating” polyurethane reaches 1.5% (o.w.f.), and its static voltage half-life decreases from 170 s to less than 2 s. In addition, the ultraviolet protection factor (UPF) value of coated cashmere is doubled, and anti-pilling and anti-static effects can withstand five washings.","PeriodicalId":6955,"journal":{"name":"AATCC Journal of Research","volume":null,"pages":null},"PeriodicalIF":0.7,"publicationDate":"2023-02-15","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"47622024","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":4,"RegionCategory":"工程技术","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 0

StylishGAN: Toward Fashion Illustration Generation 时尚gan:走向时尚插画一代

IF 0.7 4区工程技术

AATCC Journal of Research Pub Date : 2023-02-10 DOI: 10.1177/24723444221147972

Xingxing Zou, W. Wong

引用次数: 0

Pre-Activating Semantic Information for Image Aesthetic Assessment 预激活语义信息用于图像审美评价

IF 0.7 4区工程技术

AATCC Journal of Research Pub Date : 2023-02-05 DOI: 10.1177/24723444221147971

J. Song, Rong Huang, Yujia Tian, Aihua Dong

{"title":"Pre-Activating Semantic Information for Image Aesthetic Assessment","authors":"J. Song, Rong Huang, Yujia Tian, Aihua Dong","doi":"10.1177/24723444221147971","DOIUrl":"https://doi.org/10.1177/24723444221147971","url":null,"abstract":"Automatic image aesthetic evaluation is an attractive and challenging visual task. Recently, methods based on convolutional neural networks have achieved remarkable performance. However, semantic information, an intuitive prerequisite for evaluating image aesthetics, has not received enough attention regarding its importance in previous methods. How to efficiently extract semantic information and make better use of it to assist the aesthetic evaluation task remains unsolved. In this article, we propose to utilize the self-supervised model Auto-Encoder to extract semantic information in the form of multi-task learning. Then, a fusing module is prepended at the bottleneck layer to explicitly combine semantic information with aesthetic information in a pre-activated manner. Specifically, we implement a customized pooling operation to pool the semantic features extracted by Auto-Encoder and apply a weak constraint between the pooled semantic features and aesthetic information to realize the combination. The following regressor can complete aesthetic evaluation based on the semantic–aesthetic combined features. In addition, to enable our model to adapt to arbitrary aspect ratios of images, another pooling strategy called spatial pyramid pooling is adopted to obtain the image features of a fixed length. Our method achieves competitive performance on the public image aesthetic evaluation benchmark. Especially on the most commonly used metric Spearman rank-order correlation coefficient, the proposed model achieved the best performance compared with some state-of-the-art methods. Extensive ablation studies and visualization experiments were conducted to demonstrate the effectiveness of our method.","PeriodicalId":6955,"journal":{"name":"AATCC Journal of Research","volume":null,"pages":null},"PeriodicalIF":0.7,"publicationDate":"2023-02-05","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"43392870","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":4,"RegionCategory":"工程技术","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 0

Extraction and Application of Pumpkin Peel Colorants for Natural Textile Dyeing 南瓜皮色素的提取及其在天然纺织品染色中的应用

IF 0.7 4区工程技术

AATCC Journal of Research Pub Date : 2023-02-05 DOI: 10.1177/24723444221147980

J. Che, Xinghua Teng, Junling Ji

{"title":"Extraction and Application of Pumpkin Peel Colorants for Natural Textile Dyeing","authors":"J. Che, Xinghua Teng, Junling Ji","doi":"10.1177/24723444221147980","DOIUrl":"https://doi.org/10.1177/24723444221147980","url":null,"abstract":"This preliminary research discusses the extraction of colorants from pumpkin peel as vegetable dyes and the potential dyeing capability of silk and cotton fabrics. For pumpkin extracts, thermal gravity analysis has verified the range of temperature for application, while a combination of UV–vis spectra and high-performance liquid chromatography analysis confirmed the main colored components and structural characteristics. It was found that the extracts of this vegetable dye have excellent thermal stability as well as stability in neutral and acid conditions. With the objective of achieving the greatest absorbency rate of extracted solution, the following optimum extraction conditions were obtained: 100% ethanol, an extraction temperature of 70°C, an extraction time of 60 min, and a material-to-liquor ratio of 1:10. To attain the highest dyeing uptake rate and K/S values, the optimum dyeing profiles with meta-mordanting for silk fabrics were found to be 95°C, 90 min, pH 5.5, and a liquid ratio of 1:60. The optimum dyeing profiles with meta-mordanting for cotton fabrics were 95°C, 90 min, and a liquid ratio of 1:60. Nearly all colorfastness results for silk and cotton fabrics met the basic requirement of the China National Standard, except a few.","PeriodicalId":6955,"journal":{"name":"AATCC Journal of Research","volume":null,"pages":null},"PeriodicalIF":0.7,"publicationDate":"2023-02-05","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"41736526","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":4,"RegionCategory":"工程技术","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 0

A Review of Cellulosic Natural Fibers’ Properties and Their Suitability as Reinforcing Materials for Composite Panels and Applications 纤维性天然纤维的性能及其作为复合材料增强材料的适用性及应用综述

IF 0.7 4区工程技术

AATCC Journal of Research Pub Date : 2023-02-03 DOI: 10.1177/24723444221147365

Ali Ari, M. Karahan, Hasabo Abdelbagi Mohammed Ahmed, Omsalma Babiker, Ramazan Muhammed Ahmed Dehşet

{"title":"A Review of Cellulosic Natural Fibers’ Properties and Their Suitability as Reinforcing Materials for Composite Panels and Applications","authors":"Ali Ari, M. Karahan, Hasabo Abdelbagi Mohammed Ahmed, Omsalma Babiker, Ramazan Muhammed Ahmed Dehşet","doi":"10.1177/24723444221147365","DOIUrl":"https://doi.org/10.1177/24723444221147365","url":null,"abstract":"There has been much effort to provide eco-friendly and biodegradable materials for the next generation of composite products owing to global environmental concerns and increased awareness of renewable green resources. Increased use of natural materials in composites has led to a reduction in greenhouse gas emissions and the carbon footprint of composites. In addition to the benefits obtained from green materials, there are some challenges in working with them, such as poor compatibility between the reinforcing natural fiber and matrix and the relatively high moisture absorption of natural fibers. Green composites can be a suitable alternative for petroleum-based materials. However, before this can be accomplished, a number of issues need to be addressed, including poor interfacial adhesion between the matrix and natural fibers, moisture absorption, poor fire resistance, low impact strength, and less durability. Several researchers have studied the properties of natural fiber composites. These investigations have resulted in developing several procedures for modifying natural fibers and resins. To address the increasing demand to use eco-friendly materials in different applications, an up-to-date review of natural fiber and resin types and sources, modification, and processing techniques, physical and mechanical behaviors, applications, life-cycle assessment, and other properties of green composites is required to provide a better understanding of the behavior of green composites.","PeriodicalId":6955,"journal":{"name":"AATCC Journal of Research","volume":null,"pages":null},"PeriodicalIF":0.7,"publicationDate":"2023-02-03","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"43367549","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":4,"RegionCategory":"工程技术","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 1

A Novel Click-Through Rate Prediction Model Based on Deep Feature Fusion Network 一种新的基于深度特征融合网络的点击率预测模型

IF 0.7 4区工程技术

AATCC Journal of Research Pub Date : 2023-01-31 DOI: 10.1177/24723444221147967

Xiujin Shi, Yuan Gong, Yiwei Zhang, Yanxia Qin

{"title":"A Novel Click-Through Rate Prediction Model Based on Deep Feature Fusion Network","authors":"Xiujin Shi, Yuan Gong, Yiwei Zhang, Yanxia Qin","doi":"10.1177/24723444221147967","DOIUrl":"https://doi.org/10.1177/24723444221147967","url":null,"abstract":"Existing click-through rate prediction models employ both a shallow model and a deep neural model for better feature interaction. The former shallow model aims to extract explainable explicit features and the latter deep neural model aims to learn efficient implicit features. Deep neural network is a commonly used deep neural model, which can yield better performance with more neural layers. However, increasing the number of neural layers would lead to problems such as gradient vanishing, gradient explosion, and excessive parameters. In addition, the performance of a deep neural network will also decrease rapidly when it becomes too deep. In this article, we propose a novel click-through rate prediction model by improving the deep neural model part to alleviate the above problems of deep neural network-based models. This article proposes to utilize a dense deep neural network model to strengthen feature propagation, which takes the outputs of all previous layers as the input of the current layer, instead of only one previous layer being used in the deep neural network. In addition, we also utilize an advanced shallow model FmFM for better explicit features in this article, and explicit and implicit features are interacted in our model. Experiments on two data sets (Criteo and Avazu) show that the proposed click-through rate prediction model significantly outperforms existing classical models such as DeepFM, xDeepFM, and DeepLight models.","PeriodicalId":6955,"journal":{"name":"AATCC Journal of Research","volume":null,"pages":null},"PeriodicalIF":0.7,"publicationDate":"2023-01-31","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"44269811","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":4,"RegionCategory":"工程技术","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 0

Forecasting the Impact of the COVID-19 Outbreak on China’s Cotton Exports by Modified Discrete Grey Model with Limited Data 基于有限数据修正离散灰色模型预测新冠肺炎疫情对中国棉花出口的影响

IF 0.7 4区工程技术

AATCC Journal of Research Pub Date : 2023-01-26 DOI: 10.1177/24723444221147966

Jian Li, Yunyi Wang, Jun Li, Rongfan Jiang

{"title":"Forecasting the Impact of the COVID-19 Outbreak on China’s Cotton Exports by Modified Discrete Grey Model with Limited Data","authors":"Jian Li, Yunyi Wang, Jun Li, Rongfan Jiang","doi":"10.1177/24723444221147966","DOIUrl":"https://doi.org/10.1177/24723444221147966","url":null,"abstract":"The sudden outbreak of COVID-19 has created dramatic challenges for public health and textile export trade worldwide. Such abrupt changes are difficult to predict due to the inherently high complexity and nonlinearity, especially with limited data. This article proposes a novel modified discrete grey model with weakening buffer operators, called BODGM (1,1), for forecasting the impact of pandemic-induced uncertainty on the volatility of cotton exports in China under limited samples. First, the Mann–Kendall test examines how pandemic-induced uncertainty affects cotton exports, based on China’s monthly cotton export data from June 2014 to August 2022. Second, buffer operators are employed to weaken the nonlinear trends and correct the tentative predictions of the discrete grey model. Then, the BODGM (1,1) model was validated by comparison with four alternative models. The results indicate that the BODGM (1,1) model was particularly promising for identifying mutational fluctuations in cotton exports and outperformed the GM (1,1), DGM (1,1), ARIMA and linear regression models in fitting and prediction accuracy under volatility and limited data. The BODGM (1,1) model forecast results for China showed that cotton export volume was expected to show signs of recovery over the next 12 months. The findings of this study may provide a basis for formulating trade policies to mitigate the impact of the COVID-19 outbreak on export resources and build their resilience to future pandemics.","PeriodicalId":6955,"journal":{"name":"AATCC Journal of Research","volume":null,"pages":null},"PeriodicalIF":0.7,"publicationDate":"2023-01-26","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"44239562","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":4,"RegionCategory":"工程技术","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 3