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We develop a model of managerial compensation structure and asset risk choice. The model provides predictions about how inside debt features affect the relation between credit spreads and compensation components. First, inside debt reduces credit spreads only if it is unsecured. Second, inside debt exerts important indirect effects on the role of equity incentives: When inside debt is large and unsecured, equity incentives increase credit spreads; When inside debt is small or secured, this effect is weakened or reversed. We test our model on a sample of U.S. public firms with traded CDS contracts, finding evidence supportive of our predictions. To alleviate endogeneity concerns, we also show that our results are robust to using an instrumental variable approach.
We have studied one-proton-removal reactions of about 500MeV/u 17Ne beams on a carbon target at the R3B/LAND setup at GSI by detecting beam-like 15O-p and determining their relative-energy distribution. We exclusively selected the removal of a 17Ne halo proton, and the Glauber-model analysis of the 16F momentum distribution resulted in an s2 contribution in the 17Ne ground state of about 40%.
Sanctions placed upon airlines and other operators transporting persons without the required paperwork are called ‘carrier sanctions’. They constitute a key example of how border control mechanisms are currently being outsourced, privatized, delegated, and moved from the border itself to new physical locations. These practices can lead to a phenomenon referred to in this paper as ‘hidden coercion’. This paper argues that, while hidden coercion is commonplace in the reality of migration policy in most states, it is so far neglected in theoretical discussions of state coercion. Moreover, the discussion of carrier sanctions demonstrates that this neglect is problematic, since hidden coercion is not justifiable even within a framework that legitimizes state border coercion.
Examining event-related potential (ERP) correlates of decision bias in recognition memory judgments
(2014)
Memory judgments can be based on accurate memory information or on decision bias (the tendency to report that an event is part of episodic memory when one is in fact unsure). Event related potentials (ERP) correlates are important research tools for elucidating the dynamics underlying memory judgments but so far have been established only for investigations of accurate old/new discrimination. To identify the ERP correlates of bias, and observe how these interact with ERP correlates of memory, we conducted three experiments that manipulated decision bias within participants via instructions during recognition memory tests while their ERPs were recorded. In Experiment 1, the bias manipulation was performed between blocks of trials (automatized bias) and compared to trial-by-trial shifts of bias in accord with an external cue (flexibly controlled bias). In Experiment 2, the bias manipulation was performed at two different levels of accurate old/new discrimination as the memory strength of old (studied) items was varied. In Experiment 3, the bias manipulation was added to another, bottom-up driven manipulation of bias induced via familiarity. In the first two Experiments, and in the low familiarity condition of Experiment 3, we found evidence of an early frontocentral ERP component at 320 ms poststimulus (the FN320) that was sensitive to the manipulation of bias via instruction, with more negative amplitudes indexing more liberal bias. By contrast, later during the trial (500–700 ms poststimulus), bias effects interacted with old/new effects across all three experiments. Results suggest that the decision criterion is typically activated early during recognition memory trials, and is integrated with retrieved memory signals and task-specific processing demands later during the trial. More generally, the findings demonstrate how ERPs can help to specify the dynamics of recognition memory processes under top-down and bottom-up controlled retrieval conditions.
Evolutionary genetics of bears and red foxes over phylogenetic and phylogeographic time scales
(2014)
Climatic fluctuations during the Pleistocene (2.6-0.01 million years) have played an important role during evolution of many species. Cyclic range contractions and expansions had demographic consequences within species, provided environmental conditions for population divergence and speciation and enabled secondary contact and interspecific hybridization. These and other evolutionary processes have left genetic signatures in the genomes of affected organisms. Comprehensive and unbiased estimates of evolutionary processes can be obtained using genetic markers from different parts of the genome and by integrating population genetic and phylogenetic concepts.
Suitable for studies on evolutionary processes and patterns over different evolutionary time scales are bears (Ursidae) and foxes (Vulpes), which occupy a wide range of habitats and evolved during the past few millions of years. In my thesis, I therefore used bears and red foxes as study species to investigate the genetic variation within and between species and to obtain estimates of evolutionary relationships and divergence times of populations and species that I interpreted in a climatic context. Further, I investigated population genetic processes during the evolution of bears. My thesis includes three publications and one submitted manuscript, spanning different evolutionary time scales - from evolutionary relationships and processes among species (phylogenetic time scales, Publications I & II), among populations and closely related species in a geographical context (phylogeographic time scales, Publications II & III), to ongoing processes within species (population genetic time scales, Publication IV).
In Publication I (Kutschera et al. 2014, Mol Biol Evol 31(8):2004-2017), I studied bears at several nuclear markers from several individuals per species, complemented with markers from the Y chromosome. Using approaches based on a population genetic concept (coalescent theory) I obtained a species tree with divergence time estimates. Further, I studied two evolutionary processes in bears, interspecific gene flow and incomplete lineage sorting (ILS). This study contributed to the growing evidence that population genetic processes can be relevant on time scales up to several millions of years.
In Publication II (Hailer, Kutschera et al. 2012, Science 336(6079):344-347), we complemented previous mitochondrial (mt) DNA-based inference of the evolutionary history of polar and brown bears with nuclear DNA. Coalescence-based species tree analyses of multiple nuclear markers from several individuals per species placed polar bears as sister lineage to brown bears and their divergence time to about 600 thousand years ago (ka). This contrasted previous mtDNA-based inference. We explained this discrepancy between mtDNA and nuclear DNA with interspecific gene flow between polar and brown bears.
In Publication III (Kutschera et al. 2013, BMC Evol Biol 13:114), I studied range-wide phylogeographic events and their timing in red foxes. A synthesis of newly generated and published mtDNA sequences was analyzed using a coalescence-based approach with multiple fossil calibration points. Thereby, I validated the identity and geographic distribution of several red fox lineages and showed that red foxes colonized North America and Japan several times independently during the late Pleistocene (126-11 ka) and around the last glacial maximum (26.5-19 ka). In a comparison of my results from red foxes to brown bears and grey wolves, I identified similar phylogeographic patterns.
In Publication IV (Kutschera et al., submitted to Biol Conserv), I found similar levels of genetic variability in vagrant polar bears that had reached Iceland compared to established subpopulations from across the range. Based on climate projections reported by the Intergovernmental Panel on Climate Change in 2014, polar bear habitat will markedly decline and become increasingly fragmented within the next decades. Dispersal will play an important role by connecting isolated subpopulations, thereby maintaining genetic diversity levels. My results indicate that vagrants could stabilize genetic variability when immigrating into established subpopulations.
In conclusion, my thesis provided a deeper understanding of evolutionary genetic processes and patterns and their timing in bears and red foxes in a climatic context, which can have conservation implications. Further, I showed that processes like ILS and interspecific gene flow can be relevant over different time scales and are important aspects of evolutionary history. Thereby, my thesis contributed to the knowledge on the evolutionary history of several carnivore species and on evolutionary processes acting within and between closely related species.
We develop a methodology to identify and rank “systemically important financial institutions” (SIFIs). Our approach is consistent with that followed by the Financial Stability Board (FSB) but, unlike the latter, it is free of judgment and it is based entirely on publicly available data, thus filling the gap between the official views of the regulator and those that market participants can form with their own information set. We apply the methodology to annual data on three samples of banks (global, EU and euro area) for the years 2007-2012. We examine the evolution of the SIFIs over time and document the shifs in the relative weights of the major geographic areas. We also discuss the implication of the 2013 update of the identification methodology proposed by the FSB.
Event-by-event fluctuations of the mean transverse momentum of charged particles produced in pp collisions at s√ = 0.9, 2.76 and 7 TeV, and Pb-Pb collisions at sNN−−−−√ = 2.76 TeV are studied as a function of the charged-particle multiplicity using the ALICE detector at the LHC. Dynamical fluctuations indicative of correlated particle emission are observed in all systems. The results in pp collisions show little dependence on collision energy. The Monte Carlo event generators PYTHIA and PHOJET are in qualitative agreement with the data. Peripheral Pb-Pb data exhibit a similar multiplicity dependence as that observed in pp. In central Pb-Pb, the results deviate from this trend, featuring a significant reduction of the fluctuation strength. The results in Pb--Pb are in qualitative agreement with previous measurements in Au-Au at lower collision energies and with expectations from models that incorporate collective phenomena.
This study included 30 patients with diagnosed rheumatoid arthritis (RA) and 30 test subjects without RA (control group). The objective of the study was to examine both groups for the presence of temporomandibular disorders (TMD) and morphological changes of the temporomandibular joint (TMJ). All individuals were examined using a systematic detailed clinical TMD examination as well as magnetic resonance imaging (MRI). The clinical TMD examination yielded significant differences between the RA patients and the control group concerning crepitus of the TMJ, and palpation tenderness of the masticatory muscles as well as the unassisted mandibular opening. The evaluation of the MRI images for the RA group showed significantly more frequent deformations of the condyle, osteophyte formations and erosions in the condylar compacta, and degenerative changes in the spongiosa. Increased intra-articular accumulation of synovial liquid and signs of inflammatory changes of the spongiosa were only found in the RA group. Statistical analysis showed a significant correlation between crepitus and specific osteoarthrotic changes (MRI), respectively, and between crepitus and a complete anterior disk displacement without reduction (MRI). The duration of the RA disease correlated neither with the anamnestic and clinical dysfunction index by Helkimo nor with RA-specific MRI findings.
Evaluating model fit in nonlinear multilevel structural equation models (MSEM) presents a challenge as no adequate test statistic is available. Nevertheless, using a product indicator approach a likelihood ratio test for linear models is provided which may also be useful for nonlinear MSEM. The main problem with nonlinear models is that product variables are non-normally distributed. Although robust test statistics have been developed for linear SEM to ensure valid results under the condition of non-normality, they have not yet been investigated for nonlinear MSEM. In a Monte Carlo study, the performance of the robust likelihood ratio test was investigated for models with single-level latent interaction effects using the unconstrained product indicator approach. As overall model fit evaluation has a potential limitation in detecting the lack of fit at a single level even for linear models, level-specific model fit evaluation was also investigated using partially saturated models. Four population models were considered: a model with interaction effects at both levels, an interaction effect at the within-group level, an interaction effect at the between-group level, and a model with no interaction effects at both levels. For these models the number of groups, predictor correlation, and model misspecification was varied. The results indicate that the robust test statistic performed sufficiently well. Advantages of level-specific model fit evaluation for the detection of model misfit are demonstrated.
Surface disinfectants are part of broader preventive strategies preventing the transmission of bacteria, fungi and viruses in medical institutions. To evaluate their virucidal efficacy, these products must be tested with appropriate model viruses with different physico-chemical properties under conditions representing practical application in hospitals.
The aim of this study was to evaluate a quantitative carrier assay. Furthermore, different putative model viruses like adenovirus type 5 (AdV-5) and different animal parvoviruses were evaluated with respect to their tenacity and practicability in laboratory handling. To evaluate the robustness of the method, some of the viruses were tested in parallel in different laboratories in a multi-center study. Different biocides, which are common active ingredients of surface disinfectants, were used in the test. After drying on stainless steel discs as the carrier, model viruses were exposed to different concentrations of three alcohols, peracetic acid (PAA) or glutaraldehyde (GDA), with a fixed exposure time of 5 minutes. Residual virus was determined after treatment by endpoint titration.
All parvoviruses exhibited a similar stability with respect to GDA, while AdV-5 was more susceptible. For PAA, the porcine parvovirus was more sensitive than the other parvoviruses, and again, AdV-5 presented a higher susceptibility than the parvoviruses. All parvoviruses were resistant to alcohols, while AdV-5 was only stable when treated with 2-propanol. The analysis of the results of the multi-center study showed a high reproducibility of this test system.
In conclusion, two viruses with different physico-chemical properties can be recommended as appropriate model viruses for the evaluation of the virucidal efficacy of surface disinfectants: AdV-5, which has a high clinical impact, and murine parvovirus (MVM) with the highest practicability among the parvoviruses tested.