82 research outputs found

    The Role of Husbands’ and Wives’ Emotional Expressivity in the Marital Relationship

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    The current investigation was designed to examine the role of positive and negative emotional expressivity in the marital relationship. Data from 58 married couples were used to assess spouses’ levels of emotional expressivity and how these levels predicted reports of marital functioning. Regression analyses indicated that positive emotional expressivity had limited influence on marital functioning. Negative expressivity, however, had a strong impact on marital love, conflict, and ambivalence. Post-hoc analyses revealed significant differences between pairings in which the husband was high in negative expressivity, irrespective of wives’ negative emotional expressivity, and pairings in which both partners were low in negative emotional expressivity. These findings are discussed with respect to previous research that suggests that wives’ emotional expressivity is the major determinant of marital functioning.Peer Reviewedhttp://deepblue.lib.umich.edu/bitstream/2027.42/45641/1/11199_2005_Article_3726.pd

    Context-Aware Trace Alignment with Automated Planning

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    Trace alignment is the problem of finding the best possible execution sequence of a business process (BP) model that reproduces an (observed) execution trace of the same BP by pinpointing where it deviates. One limiting assumption that governs the state-of-The-Art alignment algorithms relies in a static cost function assigning fixed costs to all the possible types of deviations related to a BP activity, thus neglecting the specific context in which the deviation takes place and flattening the analysis of its potential impact. In this paper, we relax this assumption by providing a technique based on theoretic manipulations of deterministic finite state automata (DFAs) to build optimal alignments driven by dedicated cost models that assign context-dependent variable costs to the deviations. We show how the algorithm can be implemented relying on automated planning in Artificial Intelligence (AI), which is proven to be an effective tool to address the alignment task in the case of BP models and event logs of remarkable size. Finally, we report on the results of experiments conducted in a real-life case study on incident management and on larger synthetic ones performed through three well-known planning systems to showcase the performance, scalability and versatility of our technique

    A strange thrombus in the left atrial appendage

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    Two-dimensional-transoesophageal-guided cardioversion is an established strategy for managing atrial arrhythmias and is commonly used to detect left atrial appendage thrombi with a high level of diagnostic confidence. In this case, we describe a challenging case of left atrial appendage mass characterization solved by a multimodality imaging approach

    TEST OF A RESISTIVE PLATE CHAMBER UNDER IRRADIATION OF PHOTONS AND NEUTRONS

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    A resistive plate chamber operated at low pas amplification has been exposed to photon and neutron sources to study the detection efficiency and the time response in conditions dose to those expected in experiments at the Large Hadron Collider. Results on the sensitivity to photons and neutrons of energy around 1 MeV are presented

    Electrocardiographic voltage criteria in patients with hypertrophic cardiomyopathy

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    BACKGROUND: Several ECG voltage criteria have been proposed for the diagnosis of left ventricular hypertrophy (LVH). Notably, ECG criteria have been historically validated in concentric LVH but not in hypertrophic cardiomyopathy (HCM), wherein the hypertrophy pattern is typically asymmetric. OBJECTIVES: The aim of our study was to evaluate the performance of ECG voltage criteria for LVH diagnosis in the HCM population. MATERIAL AND METHODS: The electrocardiograms of 92 HCM patients and 41 sex- and age-matched controls were evaluated with the most frequently used ECG voltage criteria for LVH diagnosis. Cardiac magnetic resonance (MRI) was performed in HCM and controls in order to quantify LVH and its distribution. RESULTS: In the HCM population, the maximal diagnostic accuracy was achieved by Amplitude total and Amplitude total product criteria (58% for both), while the Cornell Voltage best performed in septal HCM (62%), the Sokolov in aVL and Gubner criteria in apical HCM (79% for both) and the Cornell Voltage and Product in anterior HCM (86% for both). All the ECG voltage criteria showed a poor correlation with left ventricular mass and maximal thickness measured by cardiac MRI. CONCLUSIONS: In our study, only a few ECG voltage criteria used for the detection of LVH in clinical practice showed an acceptable performance in the HCM population. Further studies are needed to clarify the role of ECG for LVH detection in HCM patients
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