Colour plays an important role in promoting the sales relationship between clothing brands and users. This article is based on publicly available e-commerce image data from Tmall and the brand’s official website. Taking the Taiping Bird brand as an example, a large amount of image data is preprocessed using the Structural Similarity SSIM index, which is used to evaluate image similarity. The image data is vectorised using a non-linear conversion formula from RGB format to HSV format, and K-means clustering analysis is performed to obtain the main colours of the image. Finally, the BDSCAN clustering algorithm is used to cluster the large amount of colour data, continuously modifying the neighbourhood threshold eps and minimum sample threshold minPts parameters until a sufficient number of clusters are obtained and a relatively low noise rate is achieved. Finally, for each category, a greedy algorithm is used to solve for the minimum subset of samples that can represent each cluster. The results are presented in the form of web pages, divided into two-page entrances for users and brand owners. It provides competitive brand colour recommendations and real-time sales to brand owners, and personalised colour preference recommendations and direct links to recommended products to users.

Demographic aging and expanding early childhood care demands have generated a structural challenge for contemporary urban communities: conventional service systems address elderly and young populations in parallel, age-segregated siloes that foreclose the complementary intergenerational exchanges capable of serving both groups simultaneously. This problem is especially acute in China, where rapid urbanization, housing redevelopment, and the transition beyond the one-child policy have simultaneously intensified both the social isolation of elderly residents and the caregiving pressures on young families, while eroding the informal intergenerational bonds that historically mediated between them. Grounded in multi-case research across two primary field sites—Xinguang Community (Wuxi) and Hongqiao Community (Shanghai)—and three international reference cases, and drawing on participatory observation, in-depth interviews, co-creation workshops, and service blueprint analysis conducted with over 200 community residents, this paper presents a Design-Driven Intergenerational Integration (DDII) framework that systematically combines service design methodology, co-creation practice, and intergenerational integration theory to address this challenge in Chinese urban community education contexts, constructing a three-stage "Senior-Youth Pairing" service model and a Community 4.0 governance architecture featuring a graded volunteer cultivation system (Community Expert 1.0–3.0) that demonstrate how service design and co-creation can function not merely as tools for service improvement but as institutional catalysts for sustainable intergenerational community infrastructure—generating the governance conditions, relational bonds, and collective ownership that enable intergenerational programs to become endogenous community practices rather than externally facilitated projects.

Smart textiles require reliable physiological sensing despite signal degradation caused by fabric deformation, material fatigue, and unstable textile–skin interfaces. This study presents a multi-modal GAN-based anomaly detection framework for signal reliability assessment using acceleration (ACC), electrodermal activity (EDA), and heart rate (HR). Controlled injection of baseline drift, amplitude scaling, and signal dropout generates normal/anomalous labels for supervised training. Temporal encoding and cross-modal attention distinguish textile-mimicking anomalies from physiologically plausible variations. On the 36-subject PhysioNet dataset, the framework achieves an F1-score of 0.9197 and exceeds the evaluated single-modal models by more than 35%. Using PhysioNet-trained weights without fine-tuning, zero-shot evaluation on the textile-integrated WWBS Metrics dataset achieves an F1-score of 0.8723 with ACC and derived HR. These results demonstrate cross-dataset transfer under the controlled synthetic-fault protocol; validation using physically induced textile faults remains necessary.

PurposeThis study aims to explore a methodology based on the Kano model. And use this method to determine user requirement attributes in the field of school uniform customization. To construct a set of processes that can be used as a reference for constructing a clothing customization platform.Design/methodology/approachAn optimized quantitative Kano model was applied. Initially, a survey was conducted to assess the current market for customized school uniforms in China. Subsequently, a Kano attribute questionnaire was developed, and experts from both supply and procurement sectors were invited to evaluate it. This was followed by categorizing user demands based on the Kano model’s evaluation criteria and conducting a validity analysis using Cronbach’s alpha coefficient. The priority ranking of user demands was determined through a sensitivity analysis of better-worse coefficients. Ultimately, a platform was established, and a fuzzy comprehensive evaluation was conducted.FindingsRegarding user demands, procurement-side demand elements prioritize modular design, fabric libraries and online reviews. In contrast, supply-side demand elements focus on style product libraries, layout adaptation to user habits and the preview effects of 3D models. Elements such as qualification verification, personal information uploading, design draft archiving and main tag categorization have a lesser impact on user satisfaction.Originality/valueThe results of the study provide a complete methodological reference for the construction of a garment customization platform. By applying the Kano model, this study categorizes and filters the demands of users for school uniform customization design platforms in China and establishes a 3D virtual display platform aimed at improving user satisfaction.

This study analyses data from 2010 to 2022 concerning companies listed on the Chinese A-share market to evaluate the extent of digital transformation within textile and apparel companies. Utilising the entropy method and the TOPSIS technique, the research assesses the impact of digital transformation on investment in innovation, including research and experimental development. Empirical findings indicate that digital transformation in these companies correlates with an increase in innovation investment. A more effectively marketised environment enhances the positive effects of digital transformation on innovation in traditional companies. Heterogeneous studies demonstrate that firms in Eastern China and high-tech companies exhibit more significant positive impacts from digital transformation on innovation.

Based on the current process of clothing design and development, as well as research and analysis of domestic and foreign literature, this article guides the current digitalization status of the front-end and back-end of the clothing industry and proposes the research problem of this topic. Through clothing design modeling (physical model and design of fabrics, collision detection analysis between human body and fabrics, clothing fabric rendering, and flexible 3D clothing simulation model) and dynamic virtual display of clothing, an effective method to solve the problem is constructed. It has been found that during the design phase, the real effect of clothing fabrics can be realistically restored, and the development speed can be improved, reducing labor costs. At the same time, dynamic simulation display can be used to solve the cost waste problem of sample materials. It can also improve the product selection rate and design level, and solve cost and time problems at the source.

Artificial intelligence generated content (AIGC) technology has brought challenges and opportunities for the fashion industry. However, the factors influencing the willingness of fashion industry practitioners to use AIGC tools remain unclear. This study expands the unified theory of acceptance and use of technology (UTAUT) model by incorporating the concepts of commercial value and perceived risk, and it builds a quantitative model on this basis. Data from 386 participants in the fashion industry were collected and analyzed using structural equations. The results show that most of the influencing factors proposed in the extending UTAUT model apply to the use of the AIGC tool in the fashion industry. Specifically, performance expectancy, effort expectation, social influence, facilitating conditions, and commercial value can positively and significantly impact behavioral intention. Perceived risk can negatively and significantly impact behavioral intention. The correlation between job responsibilities and creativity and the years of working can significantly interfere with the effect of intention to use AIGC tools.

With the outbreak and ongoing spread of the COVID-19 pandemic, a wave of post-COVID-19 zeitgeist has emerged worldwide. From the perspective of fashion trends, an increasing number of consumers are demanding higher standards of health, environmental friendliness, and sustainability. Over the past 10 years, the integration of technology in clothing has facilitated continuous updates in both functionality and aesthetics. This article aims to explore the relationship between clothing technology and sustainable fashion in the post-COVID-19 era, seeking to enhance the development and innovation of sustainable fashion through the empowerment of clothing technology. This study conducts extensive research on the literature and online case studies, categorizing empowered sustainable fashion technology design cases into six major categories and four directional themes. It introduces an innovative sustainable fashion design assessment model, PCBS (Product, Customer, Business, Society). Subsequently, the knowledge framework is applied in design practice alongside consumer research to validate the system’s usability. Furthermore, this research synthesizes and summarizes the methods through which fashion technology can support sustainable fashion in the post-pandemic era. Designers and practitioners can reference these insights for more advanced sustainable design initiatives, thereby promoting a lower-carbon and environmentally friendly system that drives global innovation and development in a sustainable society.

It is not easy to determine the time between diagnosis and inflammation in patients with type 2 diabetes foot disease. In severe cases, it can lead to ulceration or even amputation. During the development of the inflammation, there will be changes in temperature and blood oxygen saturation in the sole of the foot. Therefore, early monitoring can be an effective prevention and reminder. By integrating flexible conductive fibres, conductive ink and fabric, six nodes on the sole of the foot are monitored. Blood oxygen is monitored above the thumb using photoelectric sensors. The monitoring data signals from these two areas are transmitted to the integrated sensor on the top of the socks and then to the mobile app via Bluetooth. Blood oxygen saturation and temperature can be displayed in real time, and the data is also uploaded to ports such as doctors, communities and hospitals for clinical diagnosis. This study can effectively monitor and remind the inflammatory changes after diabetic foot disease, and change the way of health monitoring by design. Although this study does not have the function of treatment, it is the greatest value of designing intervention medical health - prevention reminder.

The decline in birth rates has raised concerns about the safety of infants and young children (0–18 months), particularly those who suffer suffocation or even death during sleep from their own or external causes. How to ensure that infants and young children can safely pass through this dangerous period after birth is the focus of this project. This article focuses on sleeping infants and young children as the subject of research. Blood oxygen sensors and heart rate sensors attached to socks are used to monitor changes in blood oxygen and heart rate when infants and young children experience asphyxia. The changes are then transmitted via Bluetooth to a mobile app and an alarm sound is generated to act as a good warning. At the same time, the researchers received good feedback from testing the garments on two babies and toddlers, indicating they provide an effective warning.

When workers work in mines, a variety of toxic and flammable gases are produced that are not easily detected and can pose serious health hazards if inhaled by workers above a certain concentration range. The research question: How to design a multi-purpose, effective early warning monitoring sensor for mine workers, this is an issue that deserves to be studied in depth and with great value. Based on this, taking the MQ-2 gas device as the core component and multi-purpose concept as the design method, the design of multi-purpose mine toxic gas monitoring and early warning sensor is completed from the contents of user portrait, design principle, sensor circuit principle, and explosion diagram, sensor sensitivity principle, sensor modeling, and three-dimensional effect, and the application scenario is simulated by 3DCLO The sensitivity and design value of conventional test methods are evaluated. The results show that the sensor can effectively test the lower limit concentration range of CO, H2, Methane, Propane, Butane, Liquefied gas, and Alcohol, achieve the early warning effect, and can also be placed in clothing, helmets, and backpacks. At the same time, the sensor can also be used in mines, chemicals and families to achieve multi-purpose purposes.

目的 探讨白噪声联合口腔运动干预促进早产儿喂养的临床效果.方法 选取在儿科医学部新生儿监护病房收治的160 例早产儿作为研究对象,采用随机数字表法将研究对象分为 4 组,对照组 38 例、白噪声组 39 例、口腔运动组 40 例、白噪声联合口腔运动组 43 例,评价指标使用早产儿准备经口喂养评估量表.结果 白噪声组、口腔运动组、白噪声联合口腔运动组喂养过渡时间、住院时间及喂养效率、喂养不耐受发生次数低于对照组(P＜0.05);白噪声联合口腔运动组体重增加高于对照组、白噪声组、口腔运动组,住院时间、喂养不耐受发生次数低于对照组、白噪声组、口腔运动组(P＜0.05).结论 白噪声联合口腔运动干预在增加早产儿体重,缩短经口喂养进程,缩短住院时间方面优于其他 3 组,效果更明显.

OBJECTIVE To explore the effect of centralized management of central sterile supply department on cleaning of pediatric bronchoscopes. METHODS From Jan 2017 to Dec 2020, a total of 200 pieces of pediatric bronchoscopes were randomly extracted from department of pediatrics of the Seventh Medical Center of Chinese PLA General Hospital and were recruited as the research subjects, 100 of which were randomly chosen from Jan 2017 to Dec 2018 and were assigned as the control group, and 100 were randomly chosen from Jan 2019 to Dec 2020 and were assigned as the study group. The subjects of the study group were cleaned with the centralized management of CSSD, and the subjects of the control group were cleaned without use of centralized management（ cleaned by clinical departments on their own）. The cleaning quality of biopsy tubes of the pediatric bronchoscopes was detected by means of visual observation, endoscopic passage inspection system and ATP biofluorescence detection method, and the satisfaction of the clinical departments was statistically analyzed. RESULTS The qualified rates of cleaning of the study group were significantly higher than those of the control group by visual observation and the endoscopic passage inspection system（P＜0.05）. The result of ATP biofluorescence test showed that there was no significant difference in the average value of relative light unit（RLU） between the two groups before the cleaning, while the RLU value of the study group was less than that of the control group, there was significant difference（P＜0.05）. The satisfaction of health care workers of the pediatrics department was 100% in the study group, as compared with the control group, there was significant difference（P＜0.05）. CONCLUSION The centralized management of the CSSD may improve the cleaning effect of pediatric bronchoscopes and prevent nosocomial infection. The cleaning quality of the pediatric bronchoscopes can be effectively examined by visual observation, endoscopic passage inspection system and ATP.

目的 探讨家庭化护理模式在超早产儿重症监护病房(NICU)中的应用效果.方法 选取我科2020年1月-2021年12月收治的73例超早产儿作为研究对象,按入院先后分为对照组37例(2020年1-12月)和观察组36例(2021年1-12月).对照组实施常规护理模式,观察组实施家庭化护理模式,比较2组超早产儿低体温发生率、用氧时间、完全经口喂养时间、体重日增长情况、非计划性再住院发生率及家长焦虑评分.结果 观察组超早产儿低体温发生率、氧疗时间、完全经口喂养时间、非计划性再住院发生率、家长焦虑情绪评分明显低于对照组(P＜0.05),患儿体重日增长量高于对照组,差异均有统计学意义(P＜0.05).结论 家长经医护人员有效培训后进入NICU参与超早产儿住院期间的袋鼠护理、生活护理、母乳亲喂、情感交流以及向专科护士学习科学的育儿方法,能促进超早产儿身心发育及预后,减轻父母焦虑,提高父母的社会幸福感.

With the COVID-19 pandemic sweeping the world, there is an increased focus on intergenerational relationships, community mental health issues, and well-being in community contexts. This paper assesses the effectiveness of a co-creation approach for intergenerational integration at the theoretical level. The study used a collaborative co-creation design method in the community design process to explore whether the participation of community residents of all ages in addressing community issues promoted communication and alleviated stereotyping between the various generations. This study was conducted in Shanghai’s Hongqiao New Village square, where we conducted participatory research and co-creation workshops in response to the demand for the use of the public space as a location for social interactions. The results showed that intervention in community creation through collaborative design is conducive to promoting friendly relations among different age groups, forming a sense of social security and thus enhancing social well-being. Finally, this paper combines practical cases and theoretical models of collaborative co-creative design approaches to promote the intergenerational integration of communities and is summarized from the input and output parts as well as the influencing factors and constraints of the collaborative co-creative. In addition, it provides new ideas on how to improve intergenerational relationships and form a positive and sustainable community mental health environment in the future.

In the links of apparel product development and production, apparel pattern design cannot reduce its marginal cost through economies of scale because of its creative characteristics. With the world entering the era of industry 4.0, machine learning can provide services for apparel design. This research takes the Chinese characteristic tachisme pattern as the research object and puts forward a new design method of regional characteristic apparel pattern driven by Generative Adversarial Networks (GAN). Firstly, the main framework based on GAN including discrimination and generation modules is established. Aiming at the training difficulties of regional characteristic apparel pattern sample situation with small quantity and disordered specification, the image self-amplification and normalization pre-processing module is added to the model. Secondly, by adding the Batch Normalization mechanism, Leaky ReLU and RMSProp algorithm, the problems of gradient disappearance and overfitting in the experiment are solved, and the convergence speed of the model is improved. Finally, the HSV colour model algorithm is introduced into the loss function to indicate the training process, so that the artistic expression characteristics of the generated results are closer to the human visual perception experience. Through index evaluation comparison, result authenticity investigation and product design practice, we prove the superiority and practicality of the proposed method in this paper. The new design method theoretically solves the scale economy dilemma of the previous apparel pattern design methods and provides reference ideas for more application scenarios currently trapped in the real-time presentation of design results.

According to the special characteristics of children’s body and mind and the concept of human–computer interaction, the research and development model of children’s intelligent safety clothing is explored and a A practical research model. Based on the multi–dimensional needs of consumers for children’s clothing and the performance of smart components, we explore the combination of smart wearable equipment and children’s safety clothing, and propose a design process architecture that takes into account function and aesthetics. Through the analysis of the connection technology between smart clothing and mobile terminals, we propose the idea from single interaction to multi–device co–connection, and establish a multi–interaction smart clothing based on the optimal allocation of energy and high. Through the analysis of the connection technology between smart clothing and mobile terminals, we propose the idea of moving from single interaction to multi–device co–connection, and establish the R&D process of multi–interaction smart wearable devices based on optimal energy allocation and efficient information transmission.

With the popularity of the concept of big health and the important role of wearable devices in medical health, users pay more attention to the collection and acquisition of physiological data, but wearable devices attached to human users are independent, and the degree of data sharing is low. Improving the data sharing, accuracy, and reliability of wearable device monitoring is a problem that the article needs to study and solve. Specifically, the researcher summarizes the characteristics of the physiological monitoring smart clothing, and the basic physiological data parameters of human body, and analyzes the collection of three basic signals of electrocardiogram, body temperature, and human movement. This article summarizes the requirements and key technologies of body area network transmission of smart clothing, and studies the body area network node design, energy consumption optimization mode, and network architecture of physiological monitoring smart clothing. At the same time, based on the previous research, the multi-interaction process of smart clothing is formed, and then the standard evaluation system of smart clothing body domain network for evaluation is proposed. The results show that the optimized structure of the body area network of smart clothing proposed by the researchers is efficient, convenient, and mobile, and meets the characteristics of safety, reliability, low power consumption, and portability of smart clothing, especially in the field of physiological monitoring. The standard evaluation system of smart clothing body area network provides a practice-oriented theoretical reference for the current research of smart clothing body area network.

目的 探讨表格式转运护理文书在新生儿转运网络中护理文书书写质量及转运安全的应用效果,为新生儿转运中应用表格式护理文书的可行性提供参考.方法 随机抽取2015年1月1日-2019年12月31日通过新生儿转运网络入院的病例共2000份进行回顾性分析.以表格式转运护理文书书写的1000份病例作为研究组,以常规护理文书书写的1000份转运护理病案作为对照组;比较2组病例中新生儿转运病案建立时间,书写缺陷例次以及转运中的护理纠纷隐患和不良事件的发生率.结果 研究组转运病案建立时间(14.56±3.08)较对照组(23.64±4.05)分钟缩短,P＜0.001.研究组护理文书漏签名、生命体征或病情描述记录不一致、实施治疗护理措施后无反馈结果、书写口语化、随意涂改等缺陷140例次,低于对照组的897例次,均P＜0.001.研究组转运过程中护理安全隐患STABLE评估缺项和与转诊医院病情描述不一致的发生率分别为1.4％、0.9％,低于对照组的3.8％、7.8％;护理安全隐患皮肤破损发生率、导管脱出或移位的发生率分别为1.2％、0.4％,低于对照组的3.1％、1.9％,均P＜0.05.结论 表格式转运护理文书能缩短转运病案建立时间,减少书写缺陷、降低潜在的护理纠纷隐患和不良事件的发生率,促进新生儿转运安全.