Imaging Electron Wave Functions of Quantized Energy Levels in Carbon Nanotubes

Carbon nanotubes provide a unique system to study one-dimensional quantization phenomena. Scanning tunneling microscopy is used to observe the electronic wave functions that correspond to quantized energy levels in short metallic carbon nanotubes. Discrete electron waves are apparent from periodic oscillations in the differential conductance as a function of the position along the tube axis, with a period that differs from that of the atomic lattice. Wave functions can be observed for several electron states at adjacent discrete energies. The measured wavelengths are in good agreement with the calculated Fermi wavelength for armchair nanotubes.Comment: 11 pages, 4 figures in seperate PDF fil

Comparison of four outdoor pilot-scale photobioreactors

<p>Background: Microalgae are a potential source of sustainable commodities of fuels, chemicals and food and feed additives. The current high production costs, as a result of the low areal productivities, limit the application of microalgae in industry. A first step is determining how the different production system designs relate to each other under identical climate conditions. The productivity and photosynthetic efficiency of Nannochloropsis sp. CCAP 211/78 cultivated in four different outdoor continuously operated pilot-scale photobioreactors under the same climatological conditions were compared. The optimal dilution rate was determined for each photobioreactor by operation of the different photobioreactors at different dilution rates. Results: In vertical photobioreactors, higher areal productivities and photosynthetic efficiencies, 19-24 g m^-2 day^-1 and 2.4-4.2 %, respectively, were found in comparison to the horizontal systems; 12-15 g m^-2 day^-1 and 1.5-1.8 %. The higher ground areal productivity in the vertical systems could be explained by light dilution in combination with a higher light capture. In the raceway pond low productivities were obtained, due to the long optical path in this system. Areal productivities in all systems increased with increasing photon flux densities up to a photon flux density of 30 mol m^-2 day^-1. Photosynthetic efficiencies remained constant in all systems with increasing photon flux densities. The highest photosynthetic efficiencies obtained were; 4.2 % for the vertical tubular photobioreactor, 3.8 % for the flat panel reactor, 1.8 % for the horizontal tubular reactor, and 1.5 % for the open raceway pond. Conclusions: Vertical photobioreactors resulted in higher areal productivities than horizontal photobioreactors because of the lower incident photon flux densities on the reactor surface. The flat panel photobioreactor resulted, among the vertical photobioreactors studied, in the highest average photosynthetic efficiency, areal and volumetric productivities due to the short optical path. Photobioreactor light interception should be further optimized to maximize ground areal productivity and photosynthetic efficiency.</p

The detection and modeling of direct effects in latent class analysis

Several approaches have been proposed for latent class modeling with external variables, including one-step, two-step and three-step estimators. However, very little is known yet about the performance of these approaches when direct effects of the external variable to the indicators of latent class membership are present. In the current article, we compare those approaches and investigate the consequences of not modeling these direct effects when present, as well as the power of residual and fir statistics to identify such effects. The results of the simulations show that not modeling direct effect can lead to severe parameter bias, especially with a weak measurement model. Both residual and fit statistics can be used to identify such effects, as long as the number and strength of these effects is low and the measurement model is sufficiently strong

Engineering a Diverse Ligase Toolbox for Peptide Segment Condensation

The substrate profile of peptiligase, a stable enzyme designed for peptide ligation in aqueous environments, was mapped using six different peptide libraries. The most discriminating substrate binding pocket proved to be the first nucleophile binding subsite (S1), which is crucial for the peptide ligation yield. Two important amino acids shaping the S1 pocket are M213 and L208. A site-saturation library of the M213 position yielded two variants with a significantly broadened substrate profile, i.e., M213G and M213P. Next, examination of two libraries with M213G+L208X and M213P+L208X (with X being any proteinogenic amino acid) resulted in a toolbox of enzymes which can accommodate any proteinogenic amino acid in the S1 pocket, except proline. The applicability of a particular enzyme variant in chemoenzymatic peptide synthesis was demonstrated by coupling at the gram scale of two peptide segments to yield exenatide, a 39-mer therapeutic peptide used in the treatment of diabetes type II. The overall yield of 43% is at least 2-fold higher than yields reported for conventional syntheses of exenatide by full solid-phase peptide synthesis; large-scale production costs are expected to be significantly reduced if the enzymatic coupling process is employed to manufacture this peptide.</p

Thermostable D-amino acid decarboxylases derived from Thermotoga maritima diaminopimelate decarboxylase

Diaminopimelate decarboxylases (DAPDCs) are highly selective enzymes that catalyze the common final step in different lysine biosynthetic pathways, i.e. the conversion of meso-diaminopimelate (DAP) to L-lysine. We examined the modification of the substrate specificity of the thermostable decarboxylase from Thermotoga maritima with the aim to introduce activity with 2-aminopimelic acid (2-APA) since its decarboxylation leads to 6-aminocaproic acid (6-ACA), a building block for the synthesis of nylon-6. Structure-based mutagenesis of the distal carboxylate binding site resulted in a set of enzyme variants with new activities toward different D-amino acids. One of the mutants (E315T) had lost most of its activity toward DAP and primarily acted as a 2-APA decarboxylase. We next used computational modeling to explain the observed shift in catalytic activities of the mutants. The results suggest that predictive computational protocols can support the redesign of the catalytic properties of this class of decarboxylating PLP-dependent enzymes

Team- and task-related knowledge in shared mental models in operating room teams: A survey study

OBJECTIVE: The operating room is a highly complex environment, where patient care is delivered by interprofessional teams. Unfortunately, issues with communication and teamwork occur, potentially leading to patient harm. A shared mental model is one prerequisite to function effectively as a team, and consists of task- and team-related knowledge. We aimed to explore potential differences in task- and team-related knowledge between the different professions working in the operating room. The assessed team-related knowledge consisted of knowledge regarding other professions' training and work activities, and of perceived traits of a high-performing and underperforming colleague. Task-related knowledge was assessed by mapping the perceived allocation of responsibilities for certain tasks, using a Likert-type scale. DESIGN: A single sample cross-sectional study. SETTING: The study was performed in three hospitals in the Netherlands, one academic center and two regional teaching hospitals. PARTICIPANTS: 106 health care professionals participated, of four professions. Most respondents (77%) were certified professionals, the others were still in training. RESULTS: Participants generally were well informed about each other's training and work activities and nearly everyone mentioned the importance of adequate communication and teamwork. Discrepancies were also observed. The other professions knew on average the least about the profession of anesthesiologists and most about the profession of surgeons. When assessing the responsibilities regarding tasks we found consensus in well-defined and/or protocolized tasks, but variation in less clearly defined tasks. CONCLUSIONS: Team- and task-related knowledge in the operating room team is reasonably well developed, but irregularly, with potentially crucial differences in knowledge related to patient care. Awareness of these discrepancies is the first step in further optimization of team performance

Salivary Gland Mucosa-Associated Lymphoid Tissue-Type Lymphoma From Sjogren's Syndrome Patients in the Majority Express Rheumatoid Factors Affinity-Selected for IgG

Objective: Patients with Sjӧgren's syndrome (SS) have an increased risk of developing malignant B cell lymphomas, particularly mucosa-associated lymphoid tissue (MALT)–type lymphomas. We have previously shown that a predominant proportion of patients with SS-associated salivary gland MALT lymphoma express somatically hypermutated IgM with strong amino acid sequence homology with stereotypic rheumatoid factors (RFs). The present study was undertaken in a larger cohort of patients with SS-associated MALT lymphoma to more firmly assess the frequency of RF reactivity and the significance of somatic IGV-region mutations for RF reactivity. Methods: B cell antigen receptors (BCRs) of 16 patients with SS-associated salivary gland MALT lymphoma were analyzed. Soluble recombinant IgM was produced of 12 MALT lymphoma samples, including 1 MALT lymphoma sample that expressed an IgM antibody fitting in a novel IGHV3-30–encoded stereotypic IGHV subset. For 4 of the 12 IgM antibodies from MALT lymphoma samples, the somatically mutated IGHV and IGKV gene sequences were reverted to germline configurations. Their RF activity and binding affinity were determined by enzyme-linked immunosorbent assay and surface plasmon resonance, respectively. Results: Nine (75%) of the 12 IgM antibodies identified in patients with SS-associated salivary gland MALT lymphoma displayed strong monoreactive RF activity. Reversion of the IGHV and IGKV mutations to germline configuration resulted in RF affinities for IgG that were significantly lower for 3 of the 4 somatically mutated IgM antibodies. In stereotypic IGHV3-7/IGKV3-15–encoded RFs, a recurrent replacement mutation in the IGKV3-15–third complementarity-determining region was found to play a pivotal role in the affinity for IgG-Fc. Conclusion: A majority of patients with SS-associated salivary gland MALT lymphoma express somatically mutated BCRs that are selected for monoreactive, high-affinity binding of IgG-Fc. These data underscore the notion that soluble IgG, most likely in immune complexes in inflamed tissues, is the principal autoantigen in the pathogenesis of a variety of B cell lymphomas, particularly SS-associated MALT lymphomas