This paper reports a study of 13 Japanese women who wore two types of pantyhose that were rated as providing an “almost-perfect pressure sensation” and three types of shoes. The root mean square of the electromyogram for eight muscles in the right leg was calculated. RMS has divided four group muscles: into each muscle around the knee, around the knee, on the ventral side, and on the dorsal side, and investigated how it changes between bare feet, pantyhose, and shoes. Each pantyhose is designed to stretch the legs well and follow the walking motion easily, but pantyhose B is double woven from the abdomen to the backside so as to connect to the back side while lifting the subcutaneous fat of the abdomen. Even if the pantyhose is made to apply almost the same pressure to the ankles, changing the design of the panty part can activate or suppress abdominal muscle activity.

Mxenes, as a new group of two-dimensional materials in form of transition metal carbides, carbonitrides and/or nitrides, have been playing an important role in the wearable smart electronic field. Due to their abundance surface functional groups, Mxenes have showed their superior dispersions in various solvents which is beneficial to simply the fabrication process of textile-based electronics while their electrical performance guaranteed. In this work, we report a novel fine silk yarn dip-coated in an aqueous solution of ${\rm Ti}_3{\rm C}_2{\rm T}_x$ MXene to obtain low electrical resistance (∼25.6 Ohms/cm). Yarns structures and morphologies were observed by transmission and scanning electron microscopy (TEM & SEM) together with energy dispersive spectroscopy (EDS). Besides, Fourier transform infrared (FTIR) and Raman spectroscopy, and X-ray diffraction (XRD) analysis were carried out to reveal the chemical compositions. By controlling two coating parameters as design of experiments (DoE) factors, we found both solution concentration and soaking time had significant effects on yarn performances. The mechanical performance of yarn fabricated under the optimised coating condition was evaluated by means of tensile testing, resulting in a significant 23% increase in breaking strength (∼107 MPa). In responding to tensile deformation, the dip-coated yarn also performed a linear variation in resistance, which indicated its capability in sensing applications.

Biomedical stents for the digestive tract address many of the limitations associated with traditional surgical treatments for gastrointestinal diseases. This paper provides a review of the performance requirements, complications, and limitations of stent materials in the treatment of common digestive tract diseases. The advantages and disadvantages of different materials and processing technologies for digestive tract stents are discussed. Furthermore, considering the diverse requirements for ideal alimentary canal stent materials, the challenges that require further research are outlined in detail, providing strategic references for the development of biomedical stents for the digestive tract.

Abdominal protrusion is increasingly common among middle-aged and elderly women, and the current standard sizing system fails to properly their body shape change. To improve the classification of abdominal bulge morphology in middle-aged and elderly women and enhance the garment fit, this paper screened 133 samples with abdominal bulge among 165 Chinese women aged 50-59 years old based on 3D anthropometric techniques and obtained abdominal morphological dimensions. Five main morphology parameters affecting abdominal convexity were summarized, and the abdominal morphology was classified into four types for simulation. The abdominal regression models and girth fitting models were established and validated by combining the feature indexes related to pants. Results showed that each abdominal convexity type has obvious and specific clustering characteristics, and the regression models are valid and practical for personalized clothing development.

AI painting has recently come into public view, improving the efficiency of users' creations. At present, the research and application of popular products such as characters and landscapes are more, but the research of Miao batik patterns is lacking. Therefore, this paper studies the style transfer of batik patterns from two aspects. First, a local style transfer model of batik patterns with enhanced edges is proposed. The loss function is composed of local content loss, local style loss and Laplacian loss, and the generated images have good performance in detail texture and color space. The other is to use the existing model in the AI painting tool Stable Diffusion for style transfer of batik patterns. It performs well in running time and memory occupation, but the generated image cannot inherit the style and content images well in color and detail.

Human body shape analysis is an important reference basis for garment sizing and modification. The study of human body shape is to better master the relationship between the size and shape of different body parts and the overall shape of the garment. In this paper, 245 young women aged between 18 and 24 years in school in northern China were selected as the study subjects by applying the 3D human body measurement technology. Using the statistical software SPSS, principal component analysis, correlation analysis and R-type clustering were performed to evaluate 16 variables, including height, girth, and body surface angles. Five body angles were extracted as classification indexes: chest angle, back inclination, dorsal angle, body lateral angle, and buttocks angle. These indexes were critical in explaining the characteristics of the torso surface curve. Consequently, the body types were divided into three categories using K-means clustering. More detailed characteristics of the eight body types ${\rm Y}_{{\rm II}}$ to ${\rm B}_{{\rm III}}$ were classified by combining the chest-waist drop of the Chinese National Standard classification indication. Then according to the classification results, a recognition template that can automatically classify body shape was created through the Baidu AI EasyDL development platform. Experimental results showed that the average precision of the body type recognition model reached 91.7%, among which the recognition accuracy for Type III S body shape was over 95%, providing a meaningful reference for body type classification research.

The pomelo peel, a by-product of pomelo processing, is predominantly discarded. To fully exploit the pomelo peel resources and contribute to environmental improvement and resource recycling, this study reports a green method for extracting cellulose nanofibrils (CNFs) from pomelo peel through hydrothermal-assisted alkali treatment. Lemon juice is employed for further ball milling treatment to purify the CNFs. The chemical structure, crystallinity, thermal stability, and microstructure of pomelo peel powder and CNFs are analyzed. The study results demonstrate that the combination of alkali treatment, hydrothermal processing, bleaching, and ball milling progressively eliminates hemicellulose, lignin, and other impurities from the pomelo peel, yielding high-quality CNFs. The CNFs retain the natural cellulose structure, with enhanced thermal stability and crystallinity. The diameters of the CNFs range from 2-30 nm. This method employs lower NaOH concentrations than previous studies, resulting in CNFs with higher crystallinity and smaller diameters. This study provides a promising method for enhancing the value-added of pomelo peel and increasing the volume of CNF production.