Jiping Liao

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In this study, we propose a granular classifier (GC) with the aid of a context-based similarity clustering (CSC) method and applied it for network intrusion detection. The proposed CSC supporting the design of information granules is exploited here to determine the so-called contexts. Unlike the conventional similar clustering method, here the CSC built(More)
Epidemiologic studies have reported the association between fine particles (aerodynamic diameter ≤ 2.5 μm; PM2.5) and health effects, but the immunological mechanisms are not clear. To investigate the dose and time-dependent role of toll-like receptor (TLR) and Th1/Th2 shift in local and systemic inflammation induced by PM2.5, mice were subjected to(More)
Airborne fine particulate matter (PM2.5) is detrimental to human health, and frequently leads to a variety of lung diseases. Recently, IARC conclude that particulate matter is carcinogenic to humans (level one). However, the pulmonary toxicological mechanism induced by PM2.5 remains obscure. Our previous studies confirmed that PM2.5 hurt the human immune(More)
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