DNA degradation in avian faecal samples and feasibility of non-invasive genetic studies applied to threatened capercaillie populations

We evaluated the feasibility of using faeces as a non-invasively collected DNA source for the genetic study of an endangered bird population (capercaillie; Tetrao urogallus). We used a multitube approach, and for our panel of 11 microsatellites genotyping reliability was estimated at 98% with five repetitions. Experiments showed that free DNases in faecal material were the major cause of DNA degradation. Our results demonstrate that using avian faeces as a source of DNA, reliable microsatellite genotyping can be obtained with a reasonable number of PCR replicates.

Improving the accuracy of heat balance integral methods applied to thermal problems with time dependent boundary conditions

In this paper the two main drawbacks of the heat balance integral methods are examined. Firstly we investigate the choice of approximating function. For a standard polynomial form it is shown that combining the Heat Balance and Refined Integral methods to determine the power of the highest order term will either lead to the same, or more often, greatly improved accuracy on standard methods. Secondly we examine thermal problems with a time-dependent boundary condition. In doing so we develop a logarithmic approximating function. This new function allows us to model moving peaks in the temperature profile, a feature that previous heat balance methods cannot capture. If the boundary temperature varies so that at some time t & 0 it equals the far-field temperature, then standard methods predict that the temperature is everywhere at this constant value. The new method predicts the correct behaviour. It is also shown that this function provides even more accurate results, when coupled with the new CIM, than the polynomial profile. Analysis primarily focuses on a specified constant boundary temperature and is then extended to constant flux, Newton cooling and time dependent boundary conditions.

Obedience-disobedience dynamic and the role of responsibility

Obedience has been thoroughly studied in social psychology, both in its positive and negative aspects. Nevertheless, in these empirical studies disobedience has been considered to be the opposite of obedience and indeed its negation. Instead, some recent studies suggest that if obedience to authority is important in ensuring the continuity of social and group life, disobedience is crucial, under some circumstances, in stopping the authority relationship from degenerating into an authoritarian relationship. In this perspective, disobedience may be conceived of as a protest undermining the legitimacy of authority, or else it can represent an instrument of the community for controlling the legitimacy of the authority's demands, becoming a factor safeguarding against authoritarianism. The aim of the present study was to empirically verify the dynamics existing between disobedience and obedience. The results show that people who attach importance to both obedience and disobedience in the relationship between the individual and society recognize the importance of democratic values and consider themselves responsible for the defence of human rights. Instead, people who only recognize the value of obedience and consider disobedience as a threat to the status quo are more authoritarian, individualistic people.

Discrete time Non-homogeneous Semi-Markov Processes applied to Models for Disability Insurance

In this paper, we present a stochastic model for disability insurance contracts. The model is based on a discrete time non-homogeneous semi-Markov process (DTNHSMP) to which the backward recurrence time process is introduced. This permits a more exhaustive study of disability evolution and a more efficient approach to the duration problem. The use of semi-Markov reward processes facilitates the possibility of deriving equations of the prospective and retrospective mathematical reserves. The model is applied to a sample of contracts drawn at random from a mutual insurance company.

Patients' spontaneous discourse on the importance of significant others in the course of transplantation: A qualitative study

Background: This study explores significant ones' implication before and after transplantation. Methods: Longitudinal semi-structured interviews were conducted in 64 patients awaiting all-organ transplantation. Among them, 58 patients spontaneously discussed the importance of their significant other in their daily support. Discourse analysis was applied. Findings: During the pre-transplantation period renal patients reported that significant others took part in dialysis treatment and participated to regimen adherence. After transplantation, quality of life improved and the couple dynamics returned to normal. Patients awaiting lung or heart transplantation were more heavily impaired. Significant others had to take over abandoned roles. After transplantation resuming normal life became gradually possible, but after one year either transplantation health benefits relieved physical, emotional and social loads, or complications maintained the level of stress on significant others. Discussion: Patients reported that significant others had to take over various responsibilities and were concerned about long-term stress that should be adequately supported.

Multiple imputations applied to the DREAM3 phosphoproteomics challenge: a winning strategy.

DREAM is an initiative that allows researchers to assess how well their methods or approaches can describe and predict networks of interacting molecules [1]. Each year, recently acquired datasets are released to predictors ahead of publication. Researchers typically have about three months to predict the masked data or network of interactions, using any predictive method. Predictions are assessed prior to an annual conference where the best predictions are unveiled and discussed. Here we present the strategy we used to make a winning prediction for the DREAM3 phosphoproteomics challenge. We used Amelia II, a multiple imputation software method developed by Gary King, James Honaker and Matthew Blackwell[2] in the context of social sciences to predict the 476 out of 4624 measurements that had been masked for the challenge. To chose the best possible multiple imputation parameters to apply for the challenge, we evaluated how transforming the data and varying the imputation parameters affected the ability to predict additionally masked data. We discuss the accuracy of our findings and show that multiple imputations applied to this dataset is a powerful method to accurately estimate the missing data. We postulate that multiple imputations methods might become an integral part of experimental design as a mean to achieve cost savings in experimental design or to increase the quantity of samples that could be handled for a given cost.

Geometry and physics of catenanes applied to the study of DNA replication.

The concept of ideal geometric configurations was recently applied to the classification and characterization of various knots. Different knots in their ideal form (i.e., the one requiring the shortest length of a constant-diameter tube to form a given knot) were shown to have an overall compactness proportional to the time-averaged compactness of thermally agitated knotted polymers forming corresponding knots. This was useful for predicting the relative speed of electrophoretic migration of different DNA knots. Here we characterize the ideal geometric configurations of catenanes (called links by mathematicians), i.e., closed curves in space that are topologically linked to each other. We demonstrate that the ideal configurations of different catenanes show interrelations very similar to those observed in the ideal configurations of knots. By analyzing literature data on electrophoretic separations of the torus-type of DNA catenanes with increasing complexity, we observed that their electrophoretic migration is roughly proportional to the overall compactness of ideal representations of the corresponding catenanes. This correlation does not apply, however, to electrophoretic migration of certain replication intermediates, believed up to now to represent the simplest torus-type catenanes. We propose, therefore, that freshly replicated circular DNA molecules, in addition to forming regular catenanes, may also form hemicatenanes.

Change in cognitive errors and coping over the course of brief psychodynamic intervention.

OBJECTIVE: Cognitive change over the course of psychodynamic psychotherapy has been postulated by several models, but has rarely been studied. Based on the adaptive skills model (Badgio, Halperin, & Barber, 1999), it is reasonable to expect that very brief dynamic psychotherapy may be associated with change in coping patterns and cognitive errors (also known as cognitive distortions) y. METHOD: N = 50 outpatients presenting with various psychiatric disorders and undergoing 4 sessions of Brief Psychodynamic Intervention (BPI; Despland, Drapeau, & de Roten, 2005; Despland, Michel, & de Roten, 2010) were included in this naturalistic study (mean age: 31 years; 56% female; all Caucasian). Cognitive errors and coping strategies were assessed using the Cognitive Errors Rating Scale (Drapeau et al., 2008) and Coping Patterns Rating Scale (Perry et al., 2005). These observer rated methods were applied to the verbatim transcriptions of all 4 therapy sessions completed by each patient. RESULTS: Results indicate change in both cognitive errors and coping patterns over the course of BPI, including an increase in the Overall Coping Functioning and a decrease in unhelpful coping processes, such as isolation, which reflects a shift in participant appraisal towards stress appraised as a challenge at the end of treatment. These changes predicted symptom change at the end of treatment. While cognitive errors also changed over the course of BPI, no predictive effect was found with regard to symptom change. CONCLUSIONS: These results are interpreted within the framework of common change principles in psychotherapy. Implications and future research are discussed.