China's Gains from WTO Accession: Imports versus Exports

We examine the gains from Chinese accession to the WTO. Using Arkolakis, Costinot, and Rodríguez-Clare (2012) we provide a new quantitative welfare measure by dividing the manufacturing sector into import and export sub-sectors. We then evaluate how the increased openness caused by China’s accession to the WTO effects the importing and exporting sectors. We find surprisingly, that the gains to the import sector are larger than the gains to the export sector. Moreover, the size and the dynamic pattern of such gains are different across sectors

MULTIVALENT MHC BLOCKERS TARGETING HLA-DQ2 ANTIGEN-PRESENTATION

Master'sMASTER OF SCIENC

Consumers’ Opinion Orientations and Their Credit Risk: An Econometric Analysis Enhanced by Multimodal Analytics

The rise of financial technology (fintech) has motivated practitioners and researchers to explore alternative data sources and enhanced credit scoring methods for better assessment of consumers’ credit risk. In this study, we examine whether deep-level diversity derived from consumers’ multimodal social media posts (i.e., alternative data) can enhance credit risk assessment or not. First, we propose novel lifestyle-based risk constructs (e.g., opinion risk) to capture consumers’ deep-level diversity. Second, we incorporate these lifestyle-based risk constructs into econometric models to empirically evaluate the relationship between consumers’ deep-level diversity and their credit risk. Using a credit scoring dataset provided by a fintech firm listed on Nasdaq, our econometric analysis reveals that consumers’ opinion risk constructs extracted from their multimodal social media posts are positively associated with their credit risk. Furthermore, our results show that the proposed opinion risk constructs can significantly improve the effectiveness of predicting consumers’ credit risk. Interestingly, our empirical results also show that combining the opinion risk constructs derived from images and text can significantly improve the effectiveness in credit risk prediction. This work contributes to the fintech domain by proposing novel lifestyle-based risk constructs for decision support in the credit scoring context

Isolation of deoxynivalenol-transforming bacteria from the chicken intestines using the approach of PCR-DGGE guided microbial selection

<p>Abstract</p> <p>Background</p> <p>Contamination of grains with trichothecene mycotoxins, especially deoxynivalenol (DON), has been an ongoing problem for Canada and many other countries. Mycotoxin contamination creates food safety risks, reduces grain market values, threatens livestock industries, and limits agricultural produce exports. DON is a secondary metabolite produced by some <it>Fusarium </it>species of fungi. To date, there is a lack of effective and economical methods to significantly reduce the levels of trichothecene mycotoxins in food and feed, including the efforts to breed <it>Fusarium </it>pathogen-resistant crops and chemical/physical treatments to remove the mycotoxins. Biological approaches, such as the use of microorganisms to convert the toxins to non- or less toxic compounds, have become a preferred choice recently due to their high specificity, efficacy, and environmental soundness. However, such approaches are often limited by the availability of microbial agents with the ability to detoxify the mycotoxins. In the present study, an approach with PCR-DGGE guided microbial selection was developed and used to isolate DON -transforming bacteria from chicken intestines, which resulted in the successful isolation of several bacterial isolates that demonstrated the function to transform DON to its de-epoxy form, deepoxy-4-deoxynivalenol (DOM-1), a product much less toxic than DON.</p> <p>Results</p> <p>The use of conventional microbiological selection strategies guided by PCR-DGGE (denaturing gradient gel electrophoresis) bacterial profiles for isolating DON-transforming bacteria has significantly increased the efficiency of the bacterial selection. Ten isolates were identified and isolated from chicken intestines. They were all able to transform DON to DOM-1. Most isolates were potent in transforming DON and the activity was stable during subculturing. Sequence data of partial 16S rRNA genes indicate that the ten isolates belong to four different bacterial groups, Clostridiales, <it>Anaerofilum</it>, <it>Collinsella</it>, and <it>Bacillus</it>.</p> <p>Conclusions</p> <p>The approach with PCR-DGGE guided microbial selection was effective in isolating DON-transforming bacteria and the obtained bacterial isolates were able to transform DON.</p

Poverty alleviation policies and action in Hong Kong : an analysis of public engagement strategies

published_or_final_versionPolitics and Public AdministrationMasterMaster of Public Administratio

Cigarette Smoking Accelerated Brain Aging and Induced Pre-Alzheimer-Like Neuropathology in Rats

Cigarette smoking has been proposed as a major risk factor for aging-related pathological changes and Alzheimer's disease (AD). To date, little is known for how smoking can predispose our brains to dementia or cognitive impairment. This study aimed to investigate the cigarette smoke-induced pathological changes in brains. Male Sprague-Dawley (SD) rats were exposed to either sham air or 4% cigarette smoke 1 hour per day for 8 weeks in a ventilated smoking chamber to mimic the situation of chronic passive smoking. We found that the levels of oxidative stress were significantly increased in the hippocampus of the smoking group. Smoking also affected the synapse through reducing the expression of pre-synaptic proteins including synaptophysin and synapsin-1, while there were no changes in the expression of postsynaptic protein PSD95. Decreased levels of acetylated-tubulin and increased levels of phosphorylated-tau at 231, 205 and 404 epitopes were also observed in the hippocampus of the smoking rats. These results suggested that axonal transport machinery might be impaired, and the stability of cytoskeleton might be affected by smoking. Moreover, smoking affected amyloid precursor protein (APP) processing by increasing the production of sAPPβ and accumulation of β–amyloid peptide in the CA3 and dentate gyrus region. In summary, our data suggested that chronic cigarette smoking could induce synaptic changes and other neuropathological alterations. These changes might serve as evidence of early phases of neurodegeneration and may explain why smoking can predispose brains to AD and dementia