42 research outputs found
An empirical study of the co-branding partner selection strategy : A perception from the negative perspective combing with consumer psychology
In recent years, the fashion industry has set off a trend of co-branding, and co-branding has become a unique marketing strategy for major brands to obtain benefits. However, there are potential risks when brands are selecting joint partners. The literature in this paper addresses both the positive effects of co-branding and how it is viewed from a business and customer perspective related to customer loyalty. Besides, previous researches on how to correctly select joint partners have not been explored in the collected literature. Therefore, the purpose of this study is to provide a deeper understanding of the strategy of choosing partners for brands from a negative aspect under the current trend of brand cooperation,and to propose relevant implications through case analysis. The research method used in this paper is qualitative research by conducting case studies and four focus groups. The findings indicate that communication and connection are the basis for two brands to having success. Furthermore, the enterprise needs to evaluate and estimate the capabilities of the partners by analyzing the external environment and opportunities. Besides, with the help of co-brand partners, brands can make up for their shortcomings and work together to achieve the expected goal
An empirical study of the co-branding partner selection strategy : A perception from the negative perspective combing with consumer psychology
In recent years, the fashion industry has set off a trend of co-branding, and co-branding has become a unique marketing strategy for major brands to obtain benefits. However, there are potential risks when brands are selecting joint partners. The literature in this paper addresses both the positive effects of co-branding and how it is viewed from a business and customer perspective related to customer loyalty. Besides, previous researches on how to correctly select joint partners have not been explored in the collected literature. Therefore, the purpose of this study is to provide a deeper understanding of the strategy of choosing partners for brands from a negative aspect under the current trend of brand cooperation,and to propose relevant implications through case analysis. The research method used in this paper is qualitative research by conducting case studies and four focus groups. The findings indicate that communication and connection are the basis for two brands to having success. Furthermore, the enterprise needs to evaluate and estimate the capabilities of the partners by analyzing the external environment and opportunities. Besides, with the help of co-brand partners, brands can make up for their shortcomings and work together to achieve the expected goal
Research of Multimodal Medical Image Fusion Based on Parameter-Adaptive Pulse-Coupled Neural Network and Convolutional Sparse Representation
Visual effects of medical image have a great impact on clinical assistant diagnosis. At present, medical image fusion has become a powerful means of clinical application. The traditional medical image fusion methods have the problem of poor fusion results due to the loss of detailed feature information during fusion. To deal with it, this paper proposes a new multimodal medical image fusion method based on the imaging characteristics of medical images. In the proposed method, the non-subsampled shearlet transform (NSST) decomposition is first performed on the source images to obtain high-frequency and low-frequency coefficients. The high-frequency coefficients are fused by a parameter‐adaptive pulse-coupled neural network (PAPCNN) model. The method is based on parameter adaptive and optimized connection strength β adopted to promote the performance. The low-frequency coefficients are merged by the convolutional sparse representation (CSR) model. The experimental results show that the proposed method solves the problems of difficult parameter setting and poor detail preservation of sparse representation during image fusion in traditional PCNN algorithms, and it has significant advantages in visual effect and objective indices compared with the existing mainstream fusion algorithms
Reply to Comment by Lu et al. on "An Efficient and Stable Hydrodynamic Model With Novel Source Term Discretization Schemes for Overland Flow and Flood Simulations"
This document addresses the comments raised by Lu et al. (2017). Lu et al. (2017) proposed an alternative numerical treatment for implementing the fully implicit friction discretization in Xia et al. (2017). The method by Lu et al. (2017) is also effective, but not necessarily easier to implement or more efficient. The numerical wiggles observed by Lu et al. (2017) do not affect the overall solution accuracy of the surface reconstruction method (SRM). SRM introduces an antidiffusion effect, which may also lead to more accurate numerical predictions than hydrostatic reconstruction (HR) but may be the cause of the numerical wiggles. As suggested by Lu et al. (2017), HR may perform equally well if fine enough grids are used, which has been investigated and recognized in the literature. However, the use of refined meshes in simulations will inevitably increase computational cost and the grid sizes as suggested are too small for real-world applications
Pre-Earthquake Ionospheric Anomalies of the Wenchuan Earthquake Studied with DEMETER Satellite
The pre-earthquake ionospheric anomalies in Wenchuan, China (21°-41°N, 93°-113°E) are studied and analyzed using the summer nighttime data from 2005 to 2008 measured by DEMETER (Detection of Electro-Magnetic Emission Transmitted from Earthquake Regions) satellite detectors ICE (Internet Communications Engine), IAP (In Application Programming), and ISL (Interior Switching Link). In this paper, we take the 12 May 2008 Wenchuan earthquake as an example, use the spatial gridding method to construct the background field over the epicenter, analyze the background characteristics of very low frequency (VLF) electric field components, low-energy particle parameters, and plasma parameters, and define the perturbation intensity index of each parameter before the earthquake to extract each parameter anomaly in both space and time dimensions. The results show that the background values of some ionospheric parameters in the Wenchuan area are related to spatial distribution. Moreover, anomalous enhancement of low-frequency electric field power spectral density, H+ concentration, He+ concentration and ion concentration with different intensities and anomalous weakening of ion temperature were extracted in the fifteen days before the Wenchuan earthquake. After filtering the data to exclude external interference, such as solar activity, this paper concludes that there is some connection between these anomalies and the Wenchuan earthquake
Migration and children's psychosocial development in China: When and why migration matters
10.1016/j.ssresearch.2018.09.002SOCIAL SCIENCE RESEARCH77130-14
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Migration and Children's Psychosocial Development in China: When and Why Migration Matters
Migration has affected a large number of children in many settings. Despite growing attention to these children, important gaps remain in our understanding of their psychosocial development, as well as the factors that mediate and moderate the impact of migration on children. The present study examines the influences of migration on children’s psychosocial well-being in China using a new nationally representative survey. We compared different groups of children age 3-15, including migrant children, left-behind children, and rural and urban children in nonmigrant families. Results show that rural children left behind by both parents were significantly worse off in psychological and behavioral well-being than rural nonmigrant children. By contrast, rural children left behind by one parent and migrant children were no worse off. The disadvantage of left-behind children was mediated by their caregivers' emotional well-being and parenting practices. Frequent contact with migrant parents, but not receipt of remittances, helped ameliorate the vulnerability of left-behind children. These results add to our understanding of how migration affects child development in general
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Health of left-behind children in China: Evidence from mediation analysis
Internal migration in China has resulted in large numbers of left-behind children. Despite growing attention to this population, existing research has not systematically addressed the mediating mechanisms linking parental migration to children’s health. The present study examines the influences of migration on the health of left-behind children in China and the mediating channels, using data from a new nationally representative survey. We compare three groups of rural children ages 3-15 (N=2,473): those who were left behind by both parents, those who were left behind by one parent, and those living with both non-migrant parents. Results show that the health of rural children left behind by both parents (but not by one parent) is worse than the health of children living with both parents. The health disadvantage of these children is mediated by their caregivers’ poor health status and caregiving practices. These mediating factors not only have a direct impact on child health but also exert an indirect impact by shaping children’s nutritional intake. Contrary to conventional wisdom, monetary remittances are not a significant mechanism linking migration to child health
The Early Adhesion Effects of Human Gingival Fibroblasts on Bovine Serum Albumin Loaded Hydrogenated Titanium Nanotube Surface
The soft tissue sealing at the transmucal portion of implants is vital for the long-term stability of implants. Hydrogenated titanium nanotubes (H2-TNTs) as implant surface treatments were proved to promote the adhesion of human gingival fibroblasts (HGFs) and have broad usage as drug delivery systems. Bovine serum albumin (BSA) as the most abundant albumin in body fluid was crucial for cell adhesion and was demonstrated as a normal loading protein. As the first protein arriving on the surface of the implant, albumin plays an important role in initial adhesion of soft tissue cells, it is also a common carrier, transferring and loading different endogenous and exogenous substances, ions, drugs, and other small molecules. The aim of the present work was to investigate whether BSA-loaded H2-TNTs could promote the early adhesion of HGFs; H2-TNTs were obtained by hydrogenated anodized titanium dioxide nanotubes (TNTs) in thermal treatment, and BSA was loaded in the nanotubes by vacuum drying; our results showed that the superhydrophilicity of H2-TNTs is conducive to the loading of BSA. In both hydrogenated titanium nanotubes and non-hydrogenated titanium nanotubes, a high rate of release was observed over the first hour, followed by a period of slow and sustained release; however, BSA-loading inhibits the early adhesion of human gingival fibroblasts, and H2-TNTs has the best promoting effect on cell adhesion. With the release of BSA after 4 h, the inhibitory effect of BSA on cell adhesion was weakened