Chun Lo

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N-acylphosphatidylethanolamines (NAPEs) are a relatively abundant group of plasma lipids of unknown physiological significance. Here, we show that NAPEs are secreted into circulation from the small intestine in response to ingested fat and that systemic administration of the most abundant circulating NAPE, at physiologic doses, decreases food intake in rats(More)
—This paper introduces a novel use of concepts from combinatorial group testing and Kalman filtering in detecting faulty sensors in a network when faults are relatively rare. By assigning sensors to specific groups and performing Kalman filter-based fault detection over these groups, we can obtain a small binary detection outcome, which can be decoded to(More)
Apolipoprotein AIV (apo AIV) and cholecystokinin (CCK) are peptides that act both peripherally and centrally to reduce food intake by decreasing meal size. The present study examined the effects of intraperitoneally administered bolus doses of recombinant apo AIV, CCK-8, and a combination of subthreshold doses of apo AIV and CCK on 4-h food intake in rats(More)
This poster presents a distributed reference-free fault detection algorithm which is based on local pair-wise verification. We show there exist a linear relationship between the output of any pair of sensors if the system excitations can be aggregated as a single system input. Using this relationship, faulty sensors suffering from sparse spike errors can be(More)
Chemicals. HPLC grade organic solvents including methanol, acetonitrile, chloroform and methylene chloride were purchased from Sigma/Aldrich (St. Louis, MO). N-Palmitoylethanolamine (PEA), N-stearoylethanolamine (SEA), heptadecanoyl chloride, triethylamine and butylated hydroxytoluene (BHT) were also purchased from Sigma/Aldrich (St. Louis, MO).(More)
When faulty sensors are rare in a network, diagnosing sensors individually is inefficient. This study introduces a novel use of concepts from group testing and Kalman filtering in detecting these rare faulty sensors with significantly fewer number of tests. By assigning sensors to groups and performing Kalman filter-based fault detection over these groups,(More)
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