Sonority projection effect in French: A signal detection theory approach

Focusing on the Sonority Sequencing Principle (SSP), we investigated the extent to which adult native speakers of French are sensitive to sonority-related constraints compared to lexical attestedness. In a non-word acceptability task, participants were asked to rate the acceptability of three types of non-words using a 6-point scale: non-words with attested sonority rising onset, non-words with unattested sonority rising onset, and non-words with unattested sonority falling onset. Data analysis was done using the signal detection theory approach to measure sensitivity of participants to lexical attestedness and to phonological well-formedness (i.e., respecting or violating the SSP). The results showed that speakers distinguished well-formed and ill-formed forms even when lexical attestedness was controlled for. This is consistent with previous findings on sonority projection effects. Participants were more sensitive to lexical attestedness than phonological well-formedness. Future research using computational models should investigate mechanisms that could account for these findings, namely whether a similar result would be obtained without including any assumption about the SSP in these models.

Interest Rate Modelling in the Presence of Discontinuities and its Sensitivities

Interest rate paths experience discontinuities in the presence of certain factors. Much of the work on interest rate modelling has no consideration for effects of such unexpected occurrences in real life. A good risk manager needs to have a better model that considers possibility of unexpected occurrences. In this paper, we discuss step by step extension of Vasicek model to both jump model and jumpdiffusion model using Itô’s formula as the major tool. We also derive the greeks ‘delta’ and ‘vega’ that measure sensitivity of the interest rate with respect to both changes in its initial interest rate and volatility in an interbank rate.

Virtual reality adds value to analysis of aneurysms post-flow diversion, coiling, and clipping

Purpose: The purpose of this study was to measure sensitivity of virtual reality (VR) in detecting biomarkers of neurovascular remodeling suboptimally evaluated in digital subtraction angiography (DSA) of treated unruptured, intracranial aneurysms. Methods: The sensitivity of virtual reality and digital subtraction angiography in detection of neurovascular biomarkers in aneurysms treated with flow diversion, coiling, and clipping were evaluated. Validated grading scales were integrated into a standardized rating platform. The respective novel and conceptual measures of minimal imaging important difference (MIID) and number needed to image (NNI) were calculated for each biomarker. Results: In flow diversion, coiling, and clipping, minimal imaging important difference and number needed to image were associated with virtual reality in detection of abnormal biomarkers, with the exception of stasis phase associated with digital subtraction angiography. Number needed to image was associated with flow diversion stent stenosis (RR: 7.00, 95% CI 0.37 to 131.97; OR: 7.46, 95% CI 0.38 to 148.49). Minimal imaging important difference was greatest in residual aneurysm filling (25%±66, 95% CI) in flow diversion and Meyer score in coiling (42.5%±17.69, 95% CI) and clipping (22.2%±13.58, 95% CI). Regression models demonstrated minimal imaging important difference and number needed to image shared a significant correlation (R20.99, 95% CI, p<0.001). Conclusion: Virtual reality adds value to digital subtraction angiography in evaluation of aneurysms treated with flow diversion, coiling, and clipping. Larger, prospective studies are warranted to increase statistical power and validate clinical significance.

Sonority projection effect in French: A signal detection theory approach

Focusing on the Sonority Sequencing Principle, we investigated to what extent adult native speakers of French are sensitive to sonority-related constraints compared to lexical attestedness. In a non-word acceptability task, participants were asked to rate the acceptability of three types of non-words using a 6-point scale: non-words with attested sonority rising onset, non-words with unattested sonority rising onset and non-words with unattested sonority falling onset. Data analysis was done using the signal detection theory approach to measure sensitivity of participants to lexical attestedness and to phonological well-formedness (i.e. respecting or violating the Sonority Sequencing Principle). The results showed that speakers distinguished well-formed and ill-formed forms even when lexical attestedness was controlled for. This is consistent with previous findings on sonority projection effects. Participants were more sensitive to lexical attestedness than phonological well-formedness. Future research using computational models should investigate the mechanisms which could account for these findings, namely whether a similar result would be obtained without including any assumption about the Sonority Sequencing Principle in these models.

Interindividual Differences in the Sensitivity for Consequences, Moral Norms, and Preferences for Inaction: Relating Basic Personality Traits to the CNI Model

Research on moral decision making usually focuses on two ethical principles: the principle of utilitarianism (= morality of an action is determined by its consequences) and the principle of deontology (= morality of an action is valued according to the adherence to moral norms regardless of the consequences). Criticism on traditional moral dilemma research includes the reproach that consequences and norms are confounded in standard paradigms. As a remedy, a multinomial model (the CNI model) was developed to disentangle and measure sensitivity to consequences ( C), sensitivity to moral norms ( N), and general preference for inaction versus action ( I). In two studies, we examined the link of basic personality traits to moral judgments by fitting a hierarchical Bayesian version of the CNI model. As predicted, high Honesty–Humility was selectively associated with sensitivity for norms, whereas high Emotionality was selectively associated with sensitivity for consequences. However, Conscientiousness was not associated with a preference for inaction.

Sensitivity Study of a Nonlinear Semi-Active Suspension System

In this paper the OAT (one-at-a-time) sensitivity analysis of a nonlinear semi-active suspension system is carried out with numerical simulation. A specific property of the system is chosen for measure sensitivity, which can be calculated with numerical simulations easily. Both the sensitivity of the system and the input parameters were examined. The degree of sensitivity was measured with a sensitivity index and based on it sensitivity Fuzzy-sets were established. A simple method to reduce sensitivity of a certain parameter is also proposed.