Project description:The parasitic wasp Anisopteromalus calandrae is a natural enemy of numbers store product pests. The mitochondrial genome (mitogenome) of A. calandrae was obtained by second-generation sequencing. The assembled mitogenome of A. calandrae is 15,954 bp long (GenBank accession: MW817149) and contains 37 typical animal mitochondrial genes. The order of the mitochondrial genes is identical to that of another species of Chalcidoidae (Pteromalus puparum). All protein-coding genes start with ATN codons, and end with TAA, except NAD4 and NAD5 with T.
Project description:Geometrical restraints provide key structural information for the determination of biomolecular structures at lower resolution by experimental methods such as crystallography or cryo-electron microscopy. In this work, restraint targets for nucleic acids bases are derived from three different sources and compared: small-molecule crystal structures in the Cambridge Structural Database (CSD), ultrahigh-resolution structures in the Protein Data Bank (PDB) and quantum-mechanical (QM) calculations. The best parameters are those based on CSD structures. After over two decades, the standard library of Parkinson et al. [(1996), Acta Cryst. D52, 57-64] is still valid, but improvements are possible with the use of the current CSD database. The CSD-derived geometry is fully compatible with Watson-Crick base pairs, as comparisons with QM results for isolated and paired bases clearly show that the CSD targets closely correspond to proper base pairing. While the QM results are capable of distinguishing between single and paired bases, their level of accuracy is, on average, nearly two times lower than for the CSD-derived targets when gauged by root-mean-square deviations from ultrahigh-resolution structures in the PDB. Nevertheless, the accuracy of QM results appears sufficient to provide stereochemical targets for synthetic base pairs where no reliable experimental structural information is available. To enable future tests for this approach, QM calculations are provided for isocytosine, isoguanine and the iCiG base pair.
Project description:We report our experiences with minimally invasive total hip replacement performed via a modified Watson-Jones approach with a special positioning technique (the "Stolzalpe technique"). With the patient placed in the conventional supine position, the contralateral leg is held in a gynaecological footrest to allow hyperextension, adduction and external rotation of the leg during femoral preparation. The first 117 patients operated with this technique were compared with a conventionally operated group. The patients operated with the Stolzalpe technique had superior results for nearly all study criteria, including time of operation, time of postoperative intensive care, blood loss, complications and Harris Hip Score. The Stolzalpe technique appears to be the best possible compromise between patient comfort and the surgical demands of proper implant positioning, minimization of anaesthetic risk, and reducing the time required for draping and positioning.
Project description:Delay discounting reflects the rate at which a reward loses its subjective value as a function of delay to that reward. Many models have been proposed to measure delay discounting, and many comparisons have been made among these models. We highlight the two-parameter delay discounting model popularized by Howard Rachlin by demonstrating two key practical features of the Rachlin model. The first feature is flexibility; the Rachlin model fits empirical discounting data closely. Second, when compared with other available two-parameter discounting models, the Rachlin model has the advantage that unique best estimates for parameters are easy to obtain across a wide variety of potential discounting patterns. We focus this work on this second feature in the context of maximum likelihood, showing the relative ease with which the Rachlin model can be utilized compared with the extreme care that must be used with other models for discounting data, focusing on two illustrative cases that pass checks for data validity. Both of these features are demonstrated via a reanalysis of discounting data the authors have previously used for model selection purposes.