979 resultados para ARACHNID ORDERS


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Mode of access: Internet.

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Background It has been suggested that community treatment orders (CTOs) will prevent readmission to hospital, but controlled studies have been inconclusive. We aimed to test the hypothesis that hospital discharges made subject to CTOs are associated with a reduced risk of readmission. The use of such a measure is likely to change after its introduction as clinicians acquire familiarity with it, and we also tested the hypothesis that the characteristics of patients subject to CTOs changed over time in the first decade of their use in Victoria, Australia. Method A database from Victoria, Australia (total population 4.8 million) was used. Cox proportional hazard models compared the hazard ratios of readmission to hospital before the end of the study period (1992-2000) for 16,216 discharges subject to a CTO and 112,211 not subject to a CTO. Results Community treatment orders used on discharge from a first admission to hospital were associated with a higher risk of readmission, but CTOs following subsequent admissions were associated with lower readmission risk. The risk also declined over the study period. Conclusions The effect of using a CTO depends on the patient's history. At a population level their introduction may not reduce readmission to hospital. Their impact may change over time.

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Background: The residue-wise contact order (RWCO) describes the sequence separations between the residues of interest and its contacting residues in a protein sequence. It is a new kind of one-dimensional protein structure that represents the extent of long-range contacts and is considered as a generalization of contact order. Together with secondary structure, accessible surface area, the B factor, and contact number, RWCO provides comprehensive and indispensable important information to reconstructing the protein three-dimensional structure from a set of one-dimensional structural properties. Accurately predicting RWCO values could have many important applications in protein three-dimensional structure prediction and protein folding rate prediction, and give deep insights into protein sequence-structure relationships. Results: We developed a novel approach to predict residue-wise contact order values in proteins based on support vector regression (SVR), starting from primary amino acid sequences. We explored seven different sequence encoding schemes to examine their effects on the prediction performance, including local sequence in the form of PSI-BLAST profiles, local sequence plus amino acid composition, local sequence plus molecular weight, local sequence plus secondary structure predicted by PSIPRED, local sequence plus molecular weight and amino acid composition, local sequence plus molecular weight and predicted secondary structure, and local sequence plus molecular weight, amino acid composition and predicted secondary structure. When using local sequences with multiple sequence alignments in the form of PSI-BLAST profiles, we could predict the RWCO distribution with a Pearson correlation coefficient (CC) between the predicted and observed RWCO values of 0.55, and root mean square error (RMSE) of 0.82, based on a well-defined dataset with 680 protein sequences. Moreover, by incorporating global features such as molecular weight and amino acid composition we could further improve the prediction performance with the CC to 0.57 and an RMSE of 0.79. In addition, combining the predicted secondary structure by PSIPRED was found to significantly improve the prediction performance and could yield the best prediction accuracy with a CC of 0.60 and RMSE of 0.78, which provided at least comparable performance compared with the other existing methods. Conclusion: The SVR method shows a prediction performance competitive with or at least comparable to the previously developed linear regression-based methods for predicting RWCO values. In contrast to support vector classification (SVC), SVR is very good at estimating the raw value profiles of the samples. The successful application of the SVR approach in this study reinforces the fact that support vector regression is a powerful tool in extracting the protein sequence-structure relationship and in estimating the protein structural profiles from amino acid sequences.

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This, the first part of a two-part article on the discretionary powers of the courts to order a sale of the family home at the request of a secured creditor, considers whether the enactment of the Trusts of Land and Appointment of Trustees Act 1996 s.15 has led judicial decision making to favour the interests of the co-owner of the home. Reviews cases heard since the coming into force of the Act, looking at the factors taken into account when balancing the interests of the creditor and debtor, including the continued need to have a family home, the availability of other assets to pay off the debt, the size of the debt and the likelihood of repayment.

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This, the second part of a two-part article on the discretionary powers of the courts to order a sale of the family home at the request of a secured creditor, continues the review begun in part one of common factors taken into account by the courts in post-1996 cases when balancing the interest of the creditor and debtor. Considers the availability of alternative accommodation, the health of the parties, the right to private and family life, the age of the parties, hardship a sale would cause other family members and delay on the part of the creditor in prosecution of proceedings to recover its debt.

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A broadly tunable quantum-dot based ultra-short pulse master oscillator power amplifier with different diffraction grating orders as an external-cavity resonance feedback is studied. A broader tuning range, narrower optical spectra as well as higher peak power spectal density (maximun of 1.37 W/nm) from the second-order diffraction beam are achieved compared to those from the first-order diffraction beam in spite of slightly broader pulse duration from the secondorder diffraction. © The Institution of Engineering and Technology 2013.