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Articles by D. Wu
Total Records ( 3 ) for D. Wu
  K. C. Wade , D. Wu , D. A. Kaufman , R. M. Ward , D. K. Benjamin Jr. , J. E. Sullivan , N. Ramey , B. Jayaraman , K. Hoppu , P. C. Adamson , M. R. Gastonguay and J. S. Barrett
  Fluconazole is being increasingly used to prevent and treat invasive candidiasis in neonates, yet dosing is largely empirical due to the lack of adequate pharmacokinetic (PK) data. We performed a multicenter population PK study of fluconazole in 23- to 40-week-gestation infants less than 120 days of age. We developed a population PK model using nonlinear mixed effect modeling (NONMEM) with the NONMEM algorithm. Covariate effects were predefined and evaluated based on estimation precision and clinical significance. We studied fluconazole PK in 55 infants who at enrollment had a median (range) weight of 1.02 (0.440 to 7.125) kg, a gestational age at birth (BGA) of 26 (23 to 40) weeks, and a postnatal age (PNA) of 2.3 (0.14 to 12.6) weeks. The final data set contained 357 samples; 217/357 (61%) were collected prospectively at prespecified time intervals, and 140/357 (39%) were scavenged from discarded clinical specimens. Fluconazole population PK was best described by a one-compartment model with covariates normalized to median values. The population mean clearance (CL) can be derived for this population by the equation CL (liter/h) equals 0.015 · (weight/1)0.75 · (BGA/26)1.739 · (PNA/2)0.237 · serum creatinine (SCRT)–4.896 (when SCRT is >1.0 mg/dl), and using a volume of distribution (V) (liter) of 1.024 · (weight/1). The relative standard error around the fixed effects point estimates ranged from 3 to 24%. CL doubles between birth and 28 days of age from 0.008 to 0.016 and from 0.010 to 0.022 liter/kg/h for typical 24- and 32-week-gestation infants, respectively. This population PK model of fluconazole discriminated the impact of BGA, PNA, and creatinine on drug CL. Our data suggest that dosing in young infants will require adjustment for BGA and PNA to achieve targeted systemic drug exposures.
  Y Zhang , L Bao , S. H Yang , M Welling and D. Wu
 

In wireless sensor networks (WSNs), localization has many important applications, among which wireless sensor retrieval bears special importance for cost saving, data analysis and security purposes. Localization for sensor retrieval is especially challenging due to the fact that the number and locations of these sensors are both unknown. In this paper, we propose two probabilistic localization algorithms that iteratively identify the locations of multiple wireless sensors in WSNs, one of which calculates location information offline, and the other online. In both algorithms, we implement a two-step localization process — the first step is called Grid-LEGMM (grid location estimation based on the Gaussian mixture model), a coarse-grain location search using grids by choosing the proper number and locations of the wireless sensors that maximize a likelihood estimation, and the second step is called EM-LEGMM (expectation maximization based on the Gaussian mixture model), which uses the EM-method to refine the results of Grid-LEGMM. An additional step in the online localization algorithm is a credit-based filtering mechanism that removes spurious sensor locations. The performance of both offline and online localization algorithms are analyzed using the Cramer–Rao lower bound (CRLB), and evaluated using simulations and real testbed experiments.

  F.Z. Xu , L.M. Li , H.J. Liu , K. Zhan , K. Qian , D. Wu and X.L. Ding
  This experiment was performed to compare the effects of fermented soybean meal (fermented with Bacillus licheniformis D-1, FSBM) and Soybean Meal (SBM) on performance, serum biochemical parameters and intestinal morphology of laying hens. About 288, 29 weeks old laying hens were randomly allocated into 2 dietary treatments, 4 replicate groups of 36 laying hens each from 29-39 weeks of age. One treatment received the basal diet (containing 22.8% SBM) as control and the other treatment received the basal diet in which the SBM was replaced by FSBM at 2.5%. At the end of feeding trial, 8 layers of each treatment were killed and their serum and small intestine segments of duodenum, jejunum and ileum segments were collected for serum biochemical parameters and intestinal morphology evaluation. Results showed that FSBM improved performance of laying hens. The laying rate was improved by 3.59% (p<0.05). Feed/egg ratio was decreased by 4.00% (p<0.05). Hens fed FSBM had lower levels of serum urea nitrogen (p<0.05) and a higher content of serum total phosphorus (p<0.05). Birds fed FSBM had a higher level of serum IgA and IgG than birds fed entire SBM (p<0.05). FSBM increased (p<0.05) villus height and villus height to crypt depth ratio in the duodenum and jejunum compared with whole SBM. There were no effects of FSBM on hen’s ileum mucosa morphology. Therefore, it was concluded that FSBM had beneficial effects on performance of laying hens and thus, decrease or overcome the negative effect of SBM on egg-laying hens.
 
 
 
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