With the rapid development of government digitization, the textile industry in traditional manufacturing has encountered unprecedented opportunities and challenges. How to empower the textile industry to achieve transformation and upgrading with the help of government digitalization is an important issue currently facing us. On this basis, combined with the current situation of the transformation and upgrading of China’s textile industry, we actively explore the path of government digitalization empowering the transformation and upgrading of the textile industry. It is found that government digitalization can effectively promote the trans- formation and upgrading of the textile industry through improving the business environment, optimizing resource allocation, and reducing information costs.

Natural dyes are abundantly sourced and are favored for their pure, eco-friendly characteristics, allowing for direct ex- traction and application in fabric dyeing. Initially, camellia flower dye is extracted from camellia plants, during which the optimal extraction temperature, time, and pH are analyzed to determine the most suitable extraction process. Subsequently, this refined dyes is applied to dye wool fabrics, examining dyeing temperature, time, and bath pH. Building on the foundation of single-factor anal- ysis, the response surface methodology is employed to achieve an optimized process, thereby providing insightful solutions for the dyeing of wool fabrics in enterprises.

The textile industry is the traditional pillar industry of the national economy, in the face of the increasingly complex and volatile international situation, how to improve the resilience of the textile industry chain is an important issue that needs to be re- solved. The digital-real integration is the process of promoting the evolution of the real economy from the traditional form of real economy to the new form of real economy, and it is the key to the transformation of textile enterprises’ digital intelligence and the enhancement of the resilience of the textile industry chain. This paper explores the influence mechanism of digital integration to en- hance the resilience of the textile industry chain from the three dimensions of risk resistance mechanism, industry chain integration mechanism and innovation drive, and analyzes its realistic dilemma, on the basis of which it studies the specific path to enhance the resilience of the textile industry chain empowered by the integration of digital and real.

Based on GB/T 32610—2016 "Technical Specification of Daily Protective Masks", the paper classifies protective masks in daily life. For different types of masks, the physical safety performance including filter effi- ciency, protective effect, respiratory resistance and visual field is summarized through experimental data, in order to provide theoretical guidance for produc- tion design and practical use.

Using the dynamic Qualitative Comparative Analysis method, this study selects 31 A-share listed companies in the tex- tile industry from 2018 to 2022 to analyze the necessary conditions and effective paths influencing the digital transformation of textile enterprises. The findings reveal that no single factor at the technological, organizational, or environmental level can serve as a necessary condition for textile enterprises to achieve a high level of digital transformation; instead, synergy among these factors is required. In the sufficiency analysis, four configurational driving the digital transformation of textile enterprises are identified, which can be categorized into two modes: externally-driven regulatory subsidy mode and internally-driven R&D innovation mode. Larger textile enterprises are more suited to the internally-driven R&D innovation mode, leveraging their own R&D and innovation capabilities to achieve digital transformation. Smaller textile enterprises, on the other hand, are more suited to the externally-driven regulatory subsidy mode, utilizing government support and environmental regulations to drive the process of digital transformation.

The study utilized different proportions of anti fuzzing treatment agent and softener dosage, as well as adjusting the bath ratio, water bath temperature, and water bath time during treatment. The application process parameters of anti fuzzing treatment agent for silk double-sided fabric were determined through SEM, color performance, FT-IR, and pilling performance analysis.

With the growing awareness of consumer health and safety in recent years, along with regulatory requirements both do- mestically and internationally, an increasing number of food dyes are being employed for dyeing cashmere fibers and products.This research will provide data reference for establishing standards for edible dye products made from cashmere and their derivatives. Filling the research gap for eco-friendly cashmere product performance, providing data references and quality benchmarks for in- dustry development.

Smart textiles is an important direction for the development of tex- tiles. This article first introduces the classification of smart textiles; Secondly, the research and applications of smart temperature regulating textiles, smart color changing textiles, shape change textiles, waterproof and breathable tex- tiles, smart electronic textiles, etc. were introduced separately; Finally, the development trends of smart textiles were discussed.

This paper systematically analyzes the patent data of foreign spacesuit technology,including the application trend, region- al distribution, main patent holders, technology development,etc.,and provides information guide for Chinese market participants and R&D teams to understand the patent competition pattern and the technology development trend.

Radio frequency identification technology (RFID) is an efficient real-time information collection technology. As one of the technologies of the Internet of Things perception system, it is one of the foundations for enterprises to realize digital production and management.This paper discusses the applications and advantage of RFID technology in digital production and processing, ma- terial management, workshop management, product warehousing, logistics, product retails in textile and garment industries.

The handmade carpets of Wada are a representative cultural card of the Xinjiang Uygur Autonomous Region and a valuable Chinese intangible cultural heritage, But the development of this industry is affected by many factors, and now it is almost stagnant.This article reviews the problems affecting the healthy development of handmade carpets in Wada, such as the basic situation of handmade carpets in Wada, the low level of trade specialization in the raw material industry, the insufficient ability of promotion and marketing in the product market, and the lack of patterns in the handmade carpets database, some suggestions are given for reference by relevant units and individuals.

In the context of the "dual-carbon" strategy, the textile industry, as an essential traditional industry in China, the realiza- tion of its green development has become a core topic that requires urgent solution.Taking 111 listed firms from 2013-2022 as the sample of the study, this paper aims to make an impact analysis of digital transformation on the green development of the textile industry and to discuss the effect that entrepreneurship exerts on digital transformation and the green development of the textile in- dustry. The findings indicate that: (1) The greening of the textile industry is contributed to noticeably by the digital transformation.（2）Entrepreneurship positively moderates the impact of digital transformation on the green development of textile industry. (3) In the heterogeneity analysis, digital transformation has a prominent effect on the promotion of green growth of textile firms in state- owned, non-state-owned, and eastern areas, but not in the central and western areas.

In order to study the dyeing properties of three natural plant dyes of artemisia argyi, purslane and huaimi on cotton fabric, three plant dyes were extracted by Soxhlet extraction method, and the cationic modified cotton fabric was dyed with dye solution. Then, the dyeing properties of the three dyes under different dye dosage, dyeing temperature, dyeing time and pH value were explored and the optimal dyeing process conditions were determined. Finally, the color fastness properties of the three dyes under the optimal dyeing process conditions were tested. The results showed that the optimal dye dosage of artemisia argyi and purslane was 150 mL/L, and that of huaimi was 100 mL/L. The optimum dyeing temperature of artemisia argyi leaf was 50 ℃, while that of purslane and huaimi were 80 ℃ and 70 ℃ respectively. The optimal dyeing time of artemisia argyi and huaimi was 60 min, and that of purslane was 75 min. The optimal dyeing pH value of the three dyes was 7. The modified cotton fabric dyed with artemisia argyi, purslane and huaimi has good color fastness.

Bamboo shoot shell cellulose was extracted from bamboo shoot shells using caustic soda treatment. Superabsorbent polymer(SAP) was prepared from bamboo shoot shell carboxymethyl cellulose(CMC) as the grafting skeleton, acrylic acid(AA) and acrylamide(AM) as monomers. The successful preparation of SAP was confirmed by infrared spectroscopy analysis. Single-factor experiments and orthogonal experiments were used to optimize the preparation conditions as follows: CMC dosage of 16%, m (AA):m (AM)=4:1, neutralization degree of acrylic acid at 60%, initiator dosage of 3.5%, crosslinking agent dosage of 1.5%, and the reaction was carried out at 60 ℃ for 1.5 hours. The SAP had absorption capacity of 518 g/g and salt tolerance capacity of 55 g/g. At room temperature, its water retention rate was as high as 99%, and it can be reused for multiple water absorp- tions, reaching 55.6% of the saturated absorption capacity within 1 hour.

Cotton is an important agricultural and economic crop in the Hami region. With global warming, the emergence of extreme weather has brought uncertainty to the quality of cotton. By analyzing meteorological data and cotton quality parameters in the Hami region from 2014 to 2023, the Pearson correlation coefficient was used to evaluate the correlation between cotton quality and meteorological conditions. The results showed that cotton bud stage requires sufficient heat to ensure its own growth. Excessive sunshine hours in the Hami region have a negative impact on cotton quality. The number of days in the frost free period is positively correlated with cotton quality. The effective accumulated temperature is positively correlated with the average length,micronaire value A+B, fracture ratio intensity, and cotton color level. The number of days at or above 35 ℃ is positively correlated with the average length and fracture ratio intensity, and negatively correlated with length uniformity and cotton color level.

With the impact of global climate change and agricultural development, forecasting and analyzing cotton yields is crucial for agricultural planning and resource allocation. In order to provide a more accurate prediction of national cotton yield, a multi-objective locust optimal combination forecasting is proposed. Three single models, ARIMA time series model, Least Squares Support Vector Machine LSSVM model, and Recurrent Neural Network RNN model, are firstly applied to forecast the national cotton production data from 2009 to 2023. Then, a set of optimal solutions were obtained through the multi-objective locust iterative optimization process, and the single model prediction results were compared with the prediction results of the combined prediction method. It is verified through examples that the combined prediction method using multi-objective locust optimisation predicts results with smaller error and higher fitting degree, which proves that the model has good value in practical application and better reflects the actual changes of cotton production. Finally, using this method to forecast the national cotton production in 2024-2026 can provide a reference for the development of the cotton industry.

The protective effect is one of the key indicators of whether the mask can block the bacteria, and it is also the project that the mask is most prone to quality problems. This paper analyzes the influence of mask structure, ear band, filtration efficiency and multi-layer wearing on protective effect, providing some reference for optimizing mask structure design and improving mask quality.

To formulate clothing size standards more suitable for children in Jiangsu Province, the study collected primary human body measurements of children aged 3 to 15 from Jiangsu Province through both contact and non-contact measurement methods, resulting in 3654 valid samples. The analysis results show that there are gender and age differences in the growth trends of different body sizes of children in Jiangsu Province. The growth rate of boys and girls aged 3 to 8 years is basically the same. The growth rate of girls aged 9 to 11 years is faster than that of boys. The growth rate of girls aged 12 to 15 years slowed down significantly and is faster than that of boys. What’s more, the average values of height, weight and bust have increased significantly compared with the historical data of national children, with the increase ranges being 7~12 cm, 2~8 kg and 0.7~3.5 cm respectively. The study recommends adjusting the age group classification according to the current GB/T 26158—2010 standard to accurately reflect the body characteristics of children at different developmental stages. It will help to optimize children’s clothing size standards and design production for Jiangsu Province.

Against the backdrop of studying the competitiveness of Jiangsu province’s textile and apparel companies, this study is based on the financial data of 12 Jiangsu province-listed textile companies in 2023. It employs the DEA-Tobit two-step method to analyze five indicators. Through DEA-BCC model analysis of the data from the 12 listed textile companies, it was found that the majority of enterprises’ comprehensive efficiency, pure technical efficiency, and scale efficiency were close to 1, indicating relatively efficient production processes and scale operations. However, a few enterprises had lower comprehensive efficiency, with lower technical and scale efficiencies. Tobit regression analysis showed that fixed asset net value, number of employees, and R&D expenditure significantly influenced enterprise comprehensive efficiency. It is recommended that companies strengthen production process optimization, rational resource allocation, and increase R&D investment to enhance comprehensive efficiency and achieve sustainable development.