In today’s flood of information,people mainly rely on visual information to recognize brands.Pattern logo design is a representative brand image and directly affects consumers’brand impression and perception.The pur...In today’s flood of information,people mainly rely on visual information to recognize brands.Pattern logo design is a representative brand image and directly affects consumers’brand impression and perception.The purpose of this study is to examine the characteristics of the Li Ning brand and the effect of pattern logo design on the brand image.Specifically,it is to provide practical guidelines for brand management and design by analyzing the effects on brand perception,emotional connection,and consumer behavior.For the scope of the study,seven brands are selected for analysis of famous brand cases at home and abroad.The research method is to design a patterned logo suitable for brand characteristics through literature review,empirical research,and detailed analysis of the overall style characteristics of the current Li Ning brand.The research content first analyzes the role of pattern logo design in terms of brand perception,brand perception,and brand sensitivity.Subsequently,the evolution and effect of the Li Ning brand in logo design are examined,and details are discussed in combination with the color and shape of the logo pattern.Finally,by presenting some suggestions and optimized design plans that fit the characteristics and trends of the Li Ning brand,the brand image and market competitiveness can be improved.According to the research results,first,the color,shape,and other factors of brand pattern logo design are closely related to brand image.Second,pattern logo design has a significant influence on consumer attitudes and purchase intentions.Third,consumers are more interested in the design of a patterned logo with high brand awareness.This study has a certain significance in that it reveals the mechanism by which pattern logo design affects brand image and provides useful ideas and suggestions for brand design and marketing.展开更多
Background: The roll-out of vaccines against severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2) was certainly among the fastest in medical history. Vaccination campaigns around the world began a year after t...Background: The roll-out of vaccines against severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2) was certainly among the fastest in medical history. Vaccination campaigns around the world began a year after the outbreak in 2019. When Austria started vaccinating the population in 2020, we took the opportunity to collect data from the first sets of patients receiving the vaccine in our study region of East Tyrol. Purpose: Many studies have been conducted examining the immunogenicity of the new vaccines using classic serological test methods in combination with an IFN-γ ELISpot. Undeniable disadvantages of using IFN-γ to characterize the status of the cellular immunity are that 1) being an acute phase cytokine, IFN-γ loses signal strength in the long run and 2) IFN-γ does not provide information about the involvement of T helper 2 (Th2) cells in the immune process. This implies that it can affect false negative data about the cell-mediated immune status. Method: Therefore, in addition to a chemiluminescent immunoassay and the enzymatic IFN-γ ELISpot, this study included a fluorescent ELISpot assay using precoated human SARS-CoV-2-specific IFN-γ/IL-2/IL-5 ELISpot kits to show a more holistic overview on the involvement of T helper 1 (Th1) cells as signal senders of IL-2 and Th2 cells as senders of IL-5. Results and Conclusion: Our study confirms good immunogenicity of Pfizer/BioNTech BNT162b2 COVID-19 (Comirnaty) with strong Th1 and vanishingly small Th2 participation. The fluorescent three color iSpot can improve the diagnostic results’ significance for the individual, especially when the infection has been longer in the past and the IFN-γ signal diminishes.展开更多
经济全球化赋予了logo巨大的商业价值,随着计算机视觉领域的发展,为logo分类与识别提供了更广阔的应用领域.本文针对logo图像的分类识别,为了提高模型对logo图像分类的能力,基于logo图像整体特征不显著且数量众多的特点,提出了用细粒度...经济全球化赋予了logo巨大的商业价值,随着计算机视觉领域的发展,为logo分类与识别提供了更广阔的应用领域.本文针对logo图像的分类识别,为了提高模型对logo图像分类的能力,基于logo图像整体特征不显著且数量众多的特点,提出了用细粒度图像分类的方法渐进式多粒度拼图训练(progressive multi-granularity training of jigsaw patches, PMG-Net)对logo图像数据集进行分类.通过拼图生成器生成包含不同粒度信息的输入图像,再引入渐进式多粒度训练模块融合不同粒度的特征,融合后的特征更注重图像之间的细微差别,使logo图像分类的效果有显著提高.在提取输入图像特征时采用LeakyReLU (leaky rectified linear unit)激活函数保留图像中的负值特征信息,并引入通道注意力机制,调整特征通道的权重,增强特征信息指导能力以改进模型的分类效果.实验结果表明,本文在logo图像数据集上的分类精确率优于传统的分类方法.本文通过融合多粒度特征的渐进训练策略以及随机拼图生成器的方法实现了对logo图像的高效分类,为解决logo图像分类中存在的问题提供了一种新的思路.展开更多
文摘In today’s flood of information,people mainly rely on visual information to recognize brands.Pattern logo design is a representative brand image and directly affects consumers’brand impression and perception.The purpose of this study is to examine the characteristics of the Li Ning brand and the effect of pattern logo design on the brand image.Specifically,it is to provide practical guidelines for brand management and design by analyzing the effects on brand perception,emotional connection,and consumer behavior.For the scope of the study,seven brands are selected for analysis of famous brand cases at home and abroad.The research method is to design a patterned logo suitable for brand characteristics through literature review,empirical research,and detailed analysis of the overall style characteristics of the current Li Ning brand.The research content first analyzes the role of pattern logo design in terms of brand perception,brand perception,and brand sensitivity.Subsequently,the evolution and effect of the Li Ning brand in logo design are examined,and details are discussed in combination with the color and shape of the logo pattern.Finally,by presenting some suggestions and optimized design plans that fit the characteristics and trends of the Li Ning brand,the brand image and market competitiveness can be improved.According to the research results,first,the color,shape,and other factors of brand pattern logo design are closely related to brand image.Second,pattern logo design has a significant influence on consumer attitudes and purchase intentions.Third,consumers are more interested in the design of a patterned logo with high brand awareness.This study has a certain significance in that it reveals the mechanism by which pattern logo design affects brand image and provides useful ideas and suggestions for brand design and marketing.
文摘Background: The roll-out of vaccines against severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2) was certainly among the fastest in medical history. Vaccination campaigns around the world began a year after the outbreak in 2019. When Austria started vaccinating the population in 2020, we took the opportunity to collect data from the first sets of patients receiving the vaccine in our study region of East Tyrol. Purpose: Many studies have been conducted examining the immunogenicity of the new vaccines using classic serological test methods in combination with an IFN-γ ELISpot. Undeniable disadvantages of using IFN-γ to characterize the status of the cellular immunity are that 1) being an acute phase cytokine, IFN-γ loses signal strength in the long run and 2) IFN-γ does not provide information about the involvement of T helper 2 (Th2) cells in the immune process. This implies that it can affect false negative data about the cell-mediated immune status. Method: Therefore, in addition to a chemiluminescent immunoassay and the enzymatic IFN-γ ELISpot, this study included a fluorescent ELISpot assay using precoated human SARS-CoV-2-specific IFN-γ/IL-2/IL-5 ELISpot kits to show a more holistic overview on the involvement of T helper 1 (Th1) cells as signal senders of IL-2 and Th2 cells as senders of IL-5. Results and Conclusion: Our study confirms good immunogenicity of Pfizer/BioNTech BNT162b2 COVID-19 (Comirnaty) with strong Th1 and vanishingly small Th2 participation. The fluorescent three color iSpot can improve the diagnostic results’ significance for the individual, especially when the infection has been longer in the past and the IFN-γ signal diminishes.
文摘经济全球化赋予了logo巨大的商业价值,随着计算机视觉领域的发展,为logo分类与识别提供了更广阔的应用领域.本文针对logo图像的分类识别,为了提高模型对logo图像分类的能力,基于logo图像整体特征不显著且数量众多的特点,提出了用细粒度图像分类的方法渐进式多粒度拼图训练(progressive multi-granularity training of jigsaw patches, PMG-Net)对logo图像数据集进行分类.通过拼图生成器生成包含不同粒度信息的输入图像,再引入渐进式多粒度训练模块融合不同粒度的特征,融合后的特征更注重图像之间的细微差别,使logo图像分类的效果有显著提高.在提取输入图像特征时采用LeakyReLU (leaky rectified linear unit)激活函数保留图像中的负值特征信息,并引入通道注意力机制,调整特征通道的权重,增强特征信息指导能力以改进模型的分类效果.实验结果表明,本文在logo图像数据集上的分类精确率优于传统的分类方法.本文通过融合多粒度特征的渐进训练策略以及随机拼图生成器的方法实现了对logo图像的高效分类,为解决logo图像分类中存在的问题提供了一种新的思路.
