The eﬀect of diﬀerent microneedles (MNs) densities on drug release was studied by using silk ﬁbroin with good biocompatibility as the substrate of microneedles. The mixture of D-sorbitol and silk ﬁbroin at the ratio of 2:10 was poured into a polydimethylsiloxane mold. After vacuum extraction, constant temperature and humidity drying, the silk ﬁbroin microneedles were obtained. Three kinds of microneedles arrays of diﬀerent densities were prepared with the area of 1 cm2: 5×5, 10×10 and 20×20. The length of silk ﬁbroin microneedles was controlled at about 600 µm, and D-sorbitol/silk ﬁbroin blend ﬁlm was used as the control group. Melatonin was selected as the model drug and three kinds of MNs and blend ﬁlm were used to study the drug release in vitro experiment. The aggregation structure of D-sorbitol/silk ﬁbroin MNs was measured by X-ray diﬀraction (XRD) and infrared spectroscopy. The anti-compression properties of three kinds of MNs were measured by texture analyzer (TMS-PRO). The results showed that: (1) D-sorbitol could change the silk ﬁbroin from random coil structure to the crystal structure of Silk I, and the dissolution rate of Silk ﬁbroin MNs was low and the swelling property of silk ﬁbroin was certain. (2) All three types of MNs have good compression resistance and puncture performance. It can eﬀectively open the channels for drug delivery and relieve pain. (3) All three types of MNs have good drug release properties. As the density of the MNs increases, the drug release rate and cumulative drug release rate increase. As the density of the MNs increases, the compression performance of the MNs is improved. All three types of silk ﬁbroin MNs have good penetration eﬀects and can achieve slow-release eﬀects. Compared with silk ﬁbroin ﬁlm without MNs, silk ﬁbroin MNs can signiﬁcantly increase the drug release rate by opening skin micropores.
Modern technologies and developments have a major impact and contributions to a massive increase in the various types of hazards to which human beings are exposed. The protection from ﬂame, ﬁre, heat radiation sources, etc., is a principal requisite for both civil and defense applications. Textile fabrics constructed from natural ﬁbers have been used traditionally for ordinary protection. Hence, the focal objective of the present research work was to scrutinize the improvement in thermal resistance/insulation performance of the ﬂame retardant cotton fabrics treated with milk casein, a biomacromolecule-based ﬂame retardant. Milk casein (a phosphorous-containing protein) was applied, as a green ﬂame retardant ﬁnishing material, on the cotton fabrics through aqueous solutions by using an industrially applicable method. In order to evaluate the thermal protective performance, single-layer casein treated cotton fabric samples were exposed to a radiant heat source at a speciﬁc radiant heat ﬂux density (Qo) as per ISO 6942-B standard test method. The transmitted heat ﬂux density (Qc) and heat transmission factor (TFQo) were discerned to shift towards the lower values for the casein treated cotton fabric samples as compared to untreated cotton fabric indicating the enhanced thermal protection phenomenon.
Besides automatic looms in factories, looms for hand-weaving have also been used at home for producing handicrafts. Since the number of healds is small in rigid looms, it is necessary to pick up warp yarns by hand for each weft yarn. This operation is rather cumbersome when the sequences of warp yarns to be picked up are irregular. This paper proposes a method for generating approximate weave diagrams via warp pick up assignment. We represent the diﬀerence of weave diagrams in terms of tiling and image features to reﬂect their topological char-acteristics. Based on this representation, we propose a sequential re-assignment algorithm to generate approximate weave diagrams. The properties and time complexity of the proposed algorithm are reported. The proposed approach is validated in terms of the performance of the algorithm and woven fabric.
In order to solve the contradiction between economic development and environmental problems, the trend of recycling strategies increases the value of textiles and other waste in the supply chain. Fashion companies have been trying to develop sustainable clothing made from post-consumer plastic bottles, but few studies have explored the practice and innovation of plastic waste in clothing design from the fashion perspective. Considering the complexity of plastic waste recycling, this article explores the possibility of upgrading and recycling plastic waste in clothing fabrics through the analysis and performance analysis of plastic waste materials. On this basis, the design hypothesis of waste plastics on the sustainability of clothing is proposed to establish the basic framework of the design. According to the design framework, two kinds of waste plastic materials are explored in the pre-experiment. Through the comparison and evaluation of the pre-experiment eﬀect, a feasible scheme is ﬁnally selected for the overall design of a clothing series in visual display.
In order to meet the needs of consumers for the ﬁt of bra and solve the problems in the production process of mold cup, this paper proposed a forward grading design method based on the idea of personalized customization. This paper analyzes the feature points of the human body and the mold cup to ﬁnd the relationship between the human body characteristics and the mold cup control parameters, and establishes a quantitative formula for the constraint relationship between the basic mold cup and the functional mold cup based on the human body, and passes UG OPEN GRIP programs the generation process of the inner surface of the mold cup in UG, and realizes the automatic generation of the functional mold cup by controlling the design parameters in the UG environment. And discuss the application of the parameterized design model of the inner surface of the personalized custom middle mold cup, including: the application for individuals with diﬀerent human body data and the application of selecting diﬀerent functional parameter values for the same human body data. This method provides a method reference for the digital design method of mold cups in the future.
The global economy has experienced a downturn due to the COVID-19 epidemic, and the entire apparel industry has been hit hard. However, in the post-epidemic era, the digital trend of the world has become more pronounced. The virtual consumer market and virtual fashion took this opportunity to overgrow. More and more people are willing to spend money on virtual products. In a way, virtual fashion is the acceleration and continuation of future fashion trends. The most crucial diﬀerence between virtual and physical fashion is that the latter does not undergo physical production. Instead, virtual clothing can be purchased and “worn” immediately. More and more fashion brands have paused traditional fashion shows in favor of visuals such as video game collaborations, mobile apps, virtual icons, virtual showrooms, and virtual clothing brands. This paper compares and analyzes ten international brands associated with virtual fashion through data collection and case studies. It shows that with the help of modern cutting-edge technology, the traditional apparel industry has ushered in a new transformation point. New virtual fashion will gradually enter our daily life from the experimental ﬁeld, driving the transformation of the apparel industry.
Introduction: Cangzhu, an herbal medicine used to treat symptoms of respiratory pneumonia in traditional Chinese medical system, has shown its eﬀectiveness in combating fever, cough, and fatigue of current pandemic while no specialty drugs are available. Latest research in network pharmacology has conﬁrmed the theoretical mechanism behind, the drug itself is commonly prescribed alone side another herb Aiye, which believed to be able to improve the eﬀectiveness of Cangzhu. In this study, network pharmacology will be applied in search of potential mechanism behind.
Method: The Traditional Chinese Medicine Systems Pharmacology (TCMSP) is used to ﬁlter the active compounds and the target of the prescription compound. The Genecard and OMIM database are applied to identify the target related to our aim symptom fever, cough, and fatigue. The STRING database is used to analyse the intercepted targets. Compound-target interaction and protein-protein interaction networks are constructed using the Cytoscape between target disease Covid and our medicine mixture Cangzhu and Aiye. The Kyoto Encyclopaedia of Genes and Genome (KEGG) pathway and Gene Ontology (GO) enrichment analysis are performed for investigation of the molecular mechanisms. Finally, the interaction probability between the targets and the active compounds can be determined by molecular docking technology.
Results: A total of 14 target are identiﬁed, in which are 10 most important targets and 2 key compounds. Besides, 216 biological processes items are obtained (P<0.05). Two hundred and seventy-one pathways are obtained (P<0.05). The result of molecular docking shows a stable binding between the active compounds and the target.