No abstract

As people demand for personalized clothing continues to grow, the application prospects of visual interactive design software in the clothing industry are very promising. But the traditional design process depends a lot on the work of designers, and only experienced designers can think about how style and pattern affect the overall look of clothing. As an artificial intelligence technology that has been around for a while, neural networks can be used to help with design by suggesting materials for clothes. This paper suggests a way to recommend clothing materials to designers using clothing design software by combining interactive visualization and neural network models. The method utilizes the progress and content information of the designer's current project and extracts features through a convolutional neural network (CNN) to recommend the design materials that may be needed next. The experimental results show that this method can not only provide better material recommendations for designers but also improve design efficiency and shorten the design time. Based on the Polyvore dataset, the test results show that when using this method, designers chose materials at the top of the recommendation 67% of the time, reduced the time between material selections by 43%, and reduced the average number of completed steps in the project by 56%. This method performs well in many aspects and can be integrated into clothing design software as an effective tool for clothing designers.

This study deals with observation on clinical therapeutic effect and toxic and side effects of capecitabine plus Fuzheng Jiedu decoction supplemented and reduced prescription for advanced gastric cancer. From January 2011 to January 2014, 145 patients with gastric cancer diagnosed by surgery, gastroscopy and pathology in our hospital, with measurable tumor lesions, were enrolled in this study. They were aged 45-85 y, with mean age (62.36.7) y, 75 males and 70 females. In the study group, the disease progression time and survival time were 2-19.5 mo and 4.5-24 mo, respectively with 5 cases survived, while those of the control group were 1.5-20 months and 4.2-23 mo, respectively, with 3 cases survived. The t test showed no significant difference between the two groups (p>0.05). The survival rate of 60 cases within 1 y in the study group (87.0 %) was significantly higher than that of the control group (59 cases, 77.9 %), and the difference was significant (p<0.05). The incidence rates of hand-foot syndrome, nausea and vomiting, diarrhea, abdominal pain, liver injury and neurotoxicity in the study group were 21.7 %, 2.9 %, 11.6 %, 7.2 %, 1.4 % and 17.4 %, which were significantly lower than that of the control group (43.4 %, 22.3 %, 25 %, 21.1 %, 11.8 % and 36.8 %) and the chi-square test showed a significant difference (p<0.05). Capecitabine plus Fuzheng Jiedu decoction supplemented and reduced prescription for treating advanced gastric cancer has a good therapeutic effect, less toxic and side effects and the patient's quality of life is significantly improved. It is worthy of being popularized.