Abstract Membrane technology holds significant potential for the recovery of acids and alkalis from industrial wastewater systems, with ion exchange membranes (IEMs) playing a crucial role in these applications. However, conventional IEMs are limited to separating only monovalent cations or anions, presenting challenge achieving concomitant H⁺/OH⁻ permselectivity simultaneous acid alkali recovery. To address this issue, charged microporous polymer framework developed, featuring rigid...

AP loaded PCL/AgNP embedded PVA hybrid nanofibre mats were prepared through dual-spinneret electrospinning, which altogether contributed to wound healing.

The polyvinyl alcohol (PVA)-based electronic skin with skin-like features and functions has shown great promise in wearable electronics, but traditional physical methods do not provide multiple interfacial bonds to result poor mechanical properties, weak conductivity, low sensitivity, healing ability for further hindering their practical application. In this work, novel alternating spraying technology driven by the Marangoni effect was used address challenge took advantage of bond...

Breast feature parameters could represent breast morphology. It is significant for improving bra fit, and an important aspect of garment ergonomics. To obtain the that can effectively morphology, this study proposed a parameter extraction method based on machine learning model. First, human body point-cloud data 201 female college students were obtained by three-dimensional scanner, 24 related to morphology acquired. Then, cluster analysis was used classify into four categories: uniform...

Purpose Considering two-dimensional features in the body shape classification system cannot fully reflect three-dimensional (3D) morphological characteristics of human body. The purpose this paper is to propose a 3D feature based method characterize and classify upper women, then obtained corresponding garment block improved fitness clothing. Design/methodology/approach In study, [TC] 2 scanner was used obtain data, 15 layers cross-sections young females’ were extracted. total, 240 space...

When an ease allowance at a body landmark is given, the distribution along circumference this can still change with wearing circumstance. This paper investigates both static and dynamic distributions of clothes bust waist lines by using three-dimensional motion capture system (3DMCS). Female participants same type were recruited to conduct experiments examine how motions. Specific markers provided 3DMCS adhered surfaces participant her lines, coordinates tracked while walked on treadmill...

In this study, polyvinyl alcohol (PVA) nanofibrous membranes containing silver nanoparticles (Ag NPs) were successfully fabricated by the combination of electrospinning and a green reduction approach. Through technique, uniform smooth nanofibres can be obtained, Ag NPs with narrow size distributions are well dispersed in PVA nanofibres. The investigation indicates that mass ratio reductant tea polyphenols AgNO3 play crucial role controlling NPs. More importantly, multi-layered fabrics layer...

The clothing pattern is an important feature of She nationality clothing, whose characteristics provide in-depth inference for digital computers to classify automatically. In this paper, we propose a novel method jointly reveal the texture and spatial distribution in clothing. Our approach employed visual features based on Scale Invariant Feature Transform Gaussian blur obtain robust representative key points. We involved Bag Visual Words model K-means clustering construct fundamental code...

The purpose of this study is to propose a new method achieve pattern generation from garment sample without damage. non-contact three-dimensional (3D) scanner was employed get the point cloud data samples. Bowyer-Watson algorithm used implement Delaunay triangulation for surface reconstruction. finite element (FE) approach consideration fabric properties in development. proposed demonstrated effectively realize 3D clothes with damaging samples, and be suitable different clothing styles...

In order to achieve the effective computer recognition of She ethnic clothing from different regions through extraction color features, this paper proposes a classification method based on Flower Pollination Algorithm-optimized feature fusion and Convolutional Neural Network (FPA-CNN). The consists three main steps: fusion, FPA optimization, CNN classification. first step, histogram moment which can represent regional differences in clothing, are extracted. Subsequently, is used perform...

This study is to explore the effect of fabric parameters on fragrance retention, which was based olfactorymeasurement technology with quantitative headspace method. The retention different fabrics wasquantitatively evaluated by Electronic Nose (e-nose) at time after volatilization. Quick-drying Tester usedto test drying rate, related retention. Besides, wicking property and porosity fabrics,two factors moisture transmission, were tested calculated for analysis too. It found that highercotton...

To determine the factors that affect recurrent stroke after acute ischemic stroke, specifically between male and female groups.We examined relative associated with in Chinese patients first-ever stroke. LASSO (least absolute shrinkage selection operator) Cox regression were used to predictors of groups. Next, We Kaplan-Meier survival curves interactions among these assess association relapse-related stroke.During one year follow-up, we documented 42 incidents males 15 females. There was no...

In the process of bra cup customization, matching between surface and breast shape largely depends on practical experience designers. To achieve effective this study proposes an inverse design method. This method prescribes main test section subsequently optimizes corresponding cup, thus minimizing supremum pressure in target region. The optimization framework is mainly based particle swarm algorithm Kriging surrogate model. inner represents model, three-dimensional morphology characterized...