Fast GC—MS in Supersonic Molecular Beams

The features of supersonic molecular beams (SMB) are used to improve gas chromatography—mass spectrometry (GC–MS) performance and establish a new method of fast GC–MS. In SMB, the sample compounds are vibrationally cooled such that their electron impact mass spectra are characterized by enhanced M⁺ peaks, together with library-searchable fragments. A new ionization method, hyperthermal surface ionization (HSI), provides ultrasensitive ionization coupled with a tunable degree of selectivity for nitrogen-containing drugs. SMB enables the use of very high carrier gas flow rates which, when a short megabore column is used, results in ultra-fast GC–MS having conventional chromatographic peak widths. Thus, fast GC–MS in SMB can be performed with conventional quadrupole analyzers. The slightly reduced GC resolution can, in many cases, be compensated for by the selectivity of hyperthermal surface ionization or by the increased EI selectivity through enhanced M⁺. “Fast”, “very-fast”, and “ultra-fast” GC–MS are defined and demonstrated with drugs, and the ability to analyze underivatized steroids is shown. Practical examples are shown including ultra-fast GC–MS of lidocaine in human plasma extract achieved in a few seconds and screening of other drugs, without any sample preparation or extraction, achieved in less than three minutes. We conclude that GC–SMB–MS exhibits a combination of faster analysis with improved sensitivity and selectivity, a wider range of molecules amenable to GC–MS, improved MS information, and higher a degree of flexibility.     

Heteromultimeric delayed-rectifier K+ channels in schwann cells: developmental expression and role in cell proliferation

Schwann cells (SCs) are responsible for myelination of nerve fibers in the peripheral nervous system. Voltage-dependent K+ currents, including inactivating A-type (KA), delayed-rectifier (KD), and inward-rectifier (KIR) K+ channels, constitute the main conductances found in SCs. Physiological studies have shown that KD channels may play an important role in SC proliferation and that they are downregulated in the soma as proliferation ceases and myelination proceeds. Recent studies have begun to address the molecular identity of K+ channels in SCs. Here, we show that a large repertoire of K+ channel alpha subunits of the Shaker (Kv1.1, Kv1.2, Kv1.4, and Kv1.5), Shab (Kv2.1), and Shaw (Kv3.1b and Kv3.2) families is expressed in mouse SCs and sciatic nerve. We characterized heteromultimeric channel complexes that consist of either Kv1.5 and Kv1.2 or Kv1.5 and Kv1.4. In postnatal day 4 (P4) sciatic nerve, most of the Kv1.2 channel subunits are involved in heteromultimeric association with Kv1.5. Despite the presence of Kv1. 1 and Kv1.2 alpha subunits, the K+ currents were unaffected by dendrotoxin I (DTX), suggesting that DTX-sensitive channel complexes do not account substantially for SC KD currents. SC proliferation was found to be potently blocked by quinidine or 4-aminopyridine but not by DTX. Consistent with previous physiological studies, our data show that there is a marked downregulation of all KD channel alpha subunits from P1-P4 to P40 in the sciatic nerve. Our results suggest that KD currents are accounted for by a complex combinatorial activity of distinct K+ channel complexes and confirm that KD channels are involved in SC proliferation.     

40 Gbit/s electroabsorption modulators with impedance-controlled electrodes

A novel travelling-wave electroabsorption optical modulator, electrically matched for 50 /spl Omega/ loads of driving circuit drivers, was developed. The scattering parameter of electric reflection (S/sub 11/) from this modulator is less than -20 dB at 20 GHz. It can thus enable a 40 Gbit/s, 2 km SMF transmission with a 0.3 dB penalty at a 1.3 /spl mu/m wavelength.     

Novel parameter estimation methods for 11C-acetate dual-input liver model with dynamic PET.

The successful investigation of 11C-acetate in positron emission tomography (PET) imaging for marking hepatocellular carcinoma (HCC) has been validated by both clinical and quantitative modeling studies. In the previous quantitative studies, all the individual model parameters were estimated by the weighted nonlinear least squares (NLS) algorithm. However, five parameters need to be estimated simultaneously, therefore, the computational time-complexity is high and some estimates are not quite reliable, which limits its application in clinical environment. In addition, liver system modeling with dual-input function is very different from the widespread single-input system modeling. Therefore, most of the currently developed estimation techniques are not applicable. In this paper, two parameter estimation techniques: graphed NLS (GNLS) and graphed dual-input generalized linear least squares (GDGLLS) algorithms were presented for 11C-acetate dual-input liver model. Clinical and simulated data were utilized to test the proposed algorithms by a systematic statistical analysis. Compared to NLS fitting, these two novel methods achieve better estimation reliability and are computationally efficient, and they are extremely powerful for the estimation of the two potential HCC indicators: local hepatic metabolic rate-constant of acetate and relative portal venous contribution to the hepatic blood flow.     

Prevalence of antimicrobial-resistant pathogens in middle ear fluid: multinational study of 917 children with acute otitis media

The management of acute otitis media is complicated by the emergence of resistance to beta-lactam and other antibiotics among common pathogens. We conducted a large, international study of infants and children with acute otitis media to identify pathogens and susceptibility patterns. During the winter of 1994 to 1995, middle ear fluid samples were collected from 917 patients with acute otitis media in Bulgaria, the Czech Republic, Hungary, Romania, Slovakia, Israel, and the United States. A single reference laboratory performed in vitro susceptibility testing. Pathogens were isolated from 62% of the patients. For Streptococcus pneumoniae (30% of the patients), untypeable Haemophilus influenzae (17%), and Moraxella catarrhalis (4%), there was significant variation among geographic regions (P < 0.001). The composite susceptibilities of these three organisms to amoxicillin ranged from 62% in the United States to 89% in Eastern and Central Europe; the corresponding susceptibilities to amoxicillin-clavulanate ranged from 90% in Israel to 95% in Eastern and Central Europe. beta-Lactamase was produced by 31 and 100% of the isolates of H. influenzae and M. catarrhalis, respectively. More isolates of S. pneumoniae were susceptible to amoxicillin (90%) or amoxicillin-clavulanate (90%) than to penicillin (70%; P = 0.002). The prevalence of resistant S. pneumoniae was highest in patients less than 12 months of age. S. pneumoniae, H. influenzae, and M. catarrhalis remain the most important bacterial pathogens in patients with acute otitis media; however, their prevalence is variable and resistance patterns are changing.     

为集成电路选择合适的散热器

为发热的集成电路提供足够的散热，需要高效率、大功率的散热方案     

A new double modeling approach for dynamic cardiac PET studiesusing noise and spillover contaminated LV measurements

A new double modeling approach for dynamic cardiac studies with positron emission tomography (PET) to estimate physiological parameters is proposed. This approach is exemplified by tracer fluorodeoxyglucose (FDG) studies and estimation of myocardial metabolic rate of glucose (MMRGlc). A separate input function model characterising the tracer kinetics in plasma is used to account for the measurement noise and spillover problems of the input curve obtained from the left ventricular region on the PET images. Measured left ventricle (LV) plasma time-activity and tissue time-activity curves are fitted simultaneously with cross contaminations by this input function model and the FDG model. The results indicate that the MMRGlc can be estimated much more accurately and reliably by this new approach. Compared with the traditional method, an improvement of about 20% in the estimated MMRGlc was achieved when the bidirectional spillover fractions are 20% at different noise levels studied. This new double modeling approach using two models fitting both the input and the output functions simultaneously is expected to be generally applicable to a broad range of system modeling