405 research outputs found
Does High-tech Export Cause More Technology Spillover? Evidence from Contemporary China
This paper attempts to investigate whether high-tech product export causes more technology spillover compared with traditionally primary manufactured goods export.A generalized multi-sector spillover model is presented to involve the causations of export composition and technology spillover, which is based on two distinctive approaches of measuring technology spillover: “between-spillover” and “within-spillover”. The empirical estimation is conducted with a panel analysis involving 31 provinces in China over the period of 1998-2005. Although high-tech export sectors involve a higher productivity compared with other sectors, this productivity advantage in high-tech export sectors does not cause technology spillover towards both domestic sectors and other export sectors. Therefore, this paper suggests that technology spillover of export mainly takes place in traditional export sectors rather than high-tech export sectors.Export Composition; High-tech Export; Technology Spillover; Multi-sector Spillover Model
Predicting the hosts of prokaryotic viruses using GCN-based semi-supervised learning
Background: Prokaryotic viruses, which infect bacteria and archaea, are the
most abundant and diverse biological entities in the biosphere. To understand
their regulatory roles in various ecosystems and to harness the potential of
bacteriophages for use in therapy, more knowledge of viral-host relationships
is required. High-throughput sequencing and its application to the microbiome
have offered new opportunities for computational approaches for predicting
which hosts particular viruses can infect. However, there are two main
challenges for computational host prediction. First, the empirically known
virus-host relationships are very limited. Second, although sequence similarity
between viruses and their prokaryote hosts have been used as a major feature
for host prediction, the alignment is either missing or ambiguous in many
cases. Thus, there is still a need to improve the accuracy of host prediction.
Results: In this work, we present a semi-supervised learning model, named
HostG, to conduct host prediction for novel viruses. We construct a knowledge
graph by utilizing both virus-virus protein similarity and virus-host DNA
sequence similarity. Then graph convolutional network (GCN) is adopted to
exploit viruses with or without known hosts in training to enhance the learning
ability. During the GCN training, we minimize the expected calibrated error
(ECE) to ensure the confidence of the predictions. We tested HostG on both
simulated and real sequencing data and compared its performance with other
state-of-the-art methods specifcally designed for virus host classification
(VHM-net, WIsH, PHP, HoPhage, RaFAH, vHULK, and VPF-Class). Conclusion: HostG
outperforms other popular methods, demonstrating the efficacy of using a
GCN-based semi-supervised learning approach. A particular advantage of HostG is
its ability to predict hosts from new taxa.Comment: 16 pages, 14 figure
The Impact of Brand-endorser Image Congruence on Chinese Consumers’ Attitudes and Behavioral Intentions toward Luxury Fashion Brands
While an influencer marketing is one of the popular social marketing activities in China, luxury brands’ collaborations with digital influencers sometimes lead to criticism due to a lack of image fit between influencers and brands. In order to have an enhanced understanding of how image fit leads to consumer responses toward marketing activities and brands, the current study examines whether the perceived fit between a luxury brand and a digital influencer influences consumers’ satisfaction with the collaboration, their brand attitudes, their likelihood to recommend the collaboration and purchase intention. A web-based survey was administered to Chinese consumers. The findings of the study confirm the role of perceived fit in generating positive responses toward the collaboration and the brand. The findings imply that, while luxury brands can leverage influencer marketing, brand marketers are recommended to consider the image fit between their brand and digital influencers since a poor fit may cause the dilution of brand image
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