X-ray mapping in electron-beam instruments.

This review traces the development of X-ray mapping from its beginning 50 years ago through current analysis procedures that can reveal otherwise obscure elemental distributions and associations. X-ray mapping or compositional imaging of elemental distributions is one of the major capabilities of electron beam microanalysis because it frees the operator from the necessity of making decisions about which image features contain elements of interest. Elements in unexpected locations, or in unexpected association with other elements, may be found easily without operator bias as to where to locate the electron probe for data collection. X-ray mapping in the SEM or EPMA may be applied to bulk specimens at a spatial resolution of about 1 microm. X-ray mapping of thin specimens in the TEM or STEM may be accomplished at a spatial resolution ranging from 2 to 100 nm, depending on specimen thickness and the microscope. Although mapping has traditionally been considered a qualitative technique, recent developments demonstrate the quantitative capabilities of X-ray mapping techniques. Moreover, the long-desired ability to collect and store an entire spectrum at every pixel is now a reality, and methods for mining these data are rapidly being developed.     

UV resonance Raman spectroscopy probes the amide II′p band position in short breast milk peptides with antioxidant activity

UV resonance Raman spectroscopic study of six short proline‐containing peptides with antioxidant activity isolated from human breast milk was performed. The amide II′ proline spectroscopic band was used to estimate relative cis trans isomerization state of proline amide bonds in the different peptides. Antioxidant activity of the peptides was determined using 1,1‐diphenyl‐2‐picryl‐hydrazyl (DPPH) assay and linoleic acid emulsion assay. Although no clear correlation between the amide II′p position and antioxidant activity of the peptides was observed, they both were found to be sensitive to the presence and/or relative position of proline and tyrosine residues in the peptide. Copyright © 2011 John Wiley & Sons, Ltd.     

Microchip Nd:vanadate lasers at 1342 and 671nm

As much as 105 mW of single-frequency output at 1342 nm was obtained from a diode-laser-pumped Nd:YVO(4) microchip laser. An intracavity frequency-doubled device generated 10 mW of single-frequency red radiation.     

Q-switching of a diode-pumped Nd:YVO4 laser using a quadrupole electro-optic deflector

4 laser and this produced 1.5-ns pulses of 7 kW peak power at a repetition rate of 20 kHz. Received: 11 May 1998     

Bayesian Model Selection for Exponential Random Graph Models via Adjusted Pseudolikelihoods

Models with intractable likelihood functions arise in areas including network analysis and spatial statistics, especially those involving Gibbs random fields. Posterior parameter estimation in these settings is termed a doubly intractable problem because both the likelihood function and the posterior distribution are intractable. The comparison of Bayesian models is often based on the statistical evidence, the integral of the un-normalized posterior distribution over the model parameters which is rarely available in closed form. For doubly intractable models, estimating the evidence adds another layer of difficulty. Consequently, the selection of the model that best describes an observed network among a collection of exponential random graph models for network analysis is a daunting task. Pseudolikelihoods offer a tractable approximation to the likelihood but should be treated with caution because they can lead to an unreasonable inference. This article specifies a method to adjust pseudolikelihoods to obtain a reasonable, yet tractable, approximation to the likelihood. This allows implementation of widely used computational methods for evidence estimation and pursuit of Bayesian model selection of exponential random graph models for the analysis of social networks. Empirical comparisons to existing methods show that our procedure yields similar evidence estimates, but at a lower computational cost. Supplementary material for this article is available online.     

Energy spectra for decaying 2D turbulence in a bounded domain

We use results derived in the framework of the replica approach to study the liquid-glass thermodynamic transition. The main results are derived without using replicas and applied to the study of the Lennard-Jones binary mixture introduced by Kob and Andersen. We find that there is a phase transition due to the entropy crisis. We compute both analytically and numerically the value of the phase transition point T(K) and the specific heat in the low temperature phase.     

Conformational studies on (17alpha,20Z)-21-(X-Phenyl)-19-norpregna-1, 3,5(10),20-tetraene-3,17beta-diols using 1D and 2D NMR spectroscopy and GIAO calculations of (13)C shieldings

Differences in agonist responses of the novel estrogen receptor ligands (17alpha,20Z)-(p-methoxyphenyl)vinyl estradiol (1), (17alpha, 20Z)-(o-alpha,alpha,alpha-trifluoromethylphenyl)vinyl estradiol (2), and (17alpha,20Z)-(o-hydroxymethylphenyl)vinyl estradiol (3) led us to investigate their solution conformation. In competitive binding assay studies, we observed that several phenyl-substituted (17alpha, 20E/Z)-(X-phenyl)vinyl estradiols exhibited significant estrogen receptor binding, but with variation (RBA (1) = 20; RBA (2) = 23; RBA (3) = 140 where estradiol RBA = 100) depending on the phenyl substitution pattern. Because the 17alpha-phenylvinyl substituent interacts with the key helix-12 of the ligand binding domain, we considered that differences in the preferred conformation of 1-3 could account for their varying binding affinity. 2D NMR experiments at 500 MHz allowed the complete assignment of the (13)C and (1)H spectra of 1-3. The conformations of these compounds in solution were established by 2D and 1D NOESY spectroscopy. A statistical approach of evaluating contributing conformers of 1-3 from predicted (13)C shifts correlated quite well with the NOE data. The 17alpha substituents of 1 and 2 exist in similar conformational equilibria with some differences in relative populations of conformers. In contrast, the 17alpha substituent of 3 exists in a different conformational equilibrium. The similarity in solution conformations of 1 and 2 suggests they occupy a similar receptor volume, consistent with similar RBA values of 20 and 23. Conversely, the different conformational equilibria of 3 may contribute to the significant binding affinity (RBA = 140) of this ligand.     

Semisynthesis of a glycosylated Im7 analogue for protein folding studies

To establish a system to address questions concerning the influence of glycosylation on protein folding pathways, we have developed a semisynthetic route toward the immunity protein Im7. This fourhelix protein has been used extensively as model protein for folding studies. Native chemical ligation (NCL) affords an N-linked chitobiose glycoprotein analogue of Im7 with an Ala29Cys mutation. The semisynthetic approach relies on the solid-phase peptide synthesis (SPPS) of N-terminal thioesters (including helix I), in glycosylated or unglycosylated form, in combination with the expression of the C-terminal fragment of Im7 (containing helices II-IV). Detailed kinetic and thermodynamic analysis of the protein folding behavior reveals that semisynthetic Im7 analogues are well suited for protein folding studies and that the folding mechanism of the glycoprotein of this Im7 variant is not significantly altered over the unglycosylated analogue.     

Evidence and Bayes Factor Estimation for Gibbs Random Fields

Gibbs random fields play an important role in statistics. However, they are complicated to work with due to an intractability of the likelihood function and there has been much work devoted to finding computational algorithms to allow Bayesian inference to be conducted for such so-called doubly intractable distributions. This article extends this work and addresses the issue of estimating the evidence and Bayes factor for such models. The approach that we develop is shown to yield good performance. Supplementary materials for this article are available online.     

Some new methods for numerically solving the compressible laminar boundary layer equations

Four new methods are presented: a method of accelerating the truncation error convergence, a fourth and fifth order difference scheme for discretizing the normal partial derivatives, high order quadrature formulae for integrating a stream function and a third order implicit scheme for treating the streamwise partial derivatives. These are seen to be effective in finding solutions to the boundary layer equations in which the step sizes are adaptively altered to meet an error bound.