Publications by authors named "J L Fleiss"

Artificial Intelligence (AI) as decision support for personnel preselection, e.g., in the form of a dashboard, promises a more effective and fairer selection process.

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Studies on environmental behavior commonly assume single respondents to represent their entire household or employ proxy-reporting, where participants answer for other household members. It is contested whether these practices yield valid results. Therefore, we interviewed 84 couples, wherein both household members provided self- and proxy-reports for their partner.

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The primary objective of this study was to compare, in normal subjects, the average change in autonomic balance during a 5-minute period by using two methods of changing posture: actively standing up and passive head-up tilt. We hypothesized that the average effect of these two methods of changing posture on autonomic balance would not significantly differ. After collecting supine baseline measurements, subjects were first tilted head up to 60 degrees for 15 minutes, then returned to the supine position for 5 minutes, before they stood up for 5 minutes.

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Objective: Two treatments for bulimia nervosa have emerged as having established efficacy: cognitive-behavioral therapy and antidepressant medication. This study sought to address 1) how the efficacy of a psychodynamically oriented supportive psychotherapy compared to that of cognitive-behavioral therapy; 2) whether a two-stage medication intervention, in which a second antidepressant (fluoxetine) was employed if the first (desipramine) was either ineffective or poorly tolerated, added to the benefit of psychological treatment; and 3) if the combination of medication and psychological treatment was superior to a course of medication alone.

Method: A total of 120 women with bulimia nervosa participated in a randomized, placebo-controlled trial.

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Background: The purposes of the present study were (1) to establish normal values for the regression of log(power) on log(frequency) for, RR-interval fluctuations in healthy middle-aged persons, (2) to determine the effects of myocardial infarction on the regression of log(power) on log(frequency), (3) to determine the effect of cardiac denervation on the regression of log(power) on log(frequency), and (4) to assess the ability of power law regression parameters to predict death after myocardial infarction.

Methods And Results: We studied three groups: (1) 715 patients with recent myocardial infarction; (2) 274 healthy persons age and sex matched to the infarct sample; and (3) 19 patients with heart transplants. Twenty-four-hour RR-interval power spectra were computed using fast Fourier transforms and log(power) was regressed on log(frequency) between 10(-4) and 10(-2) Hz.

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