Transpiration stimulée afin d'améliorer l'équilibre hydro-sodé chez les patients hémodialysés : à propos d'un cas [Stimulated sweating in order to improve the water-and-salt balance in hemodialysis patients. A case report].

Obtaining the desired dry weight in dialysis patients is challenging once residual diuresis has disappeared, considering the trend of increasing dietary salt intake and shortening dialysis time over the last 40 years. We describe the case of a 55-year-old patient of Sudanese origin, who presented excessive interdialytic weight gain and hypertension on maintenance hemodialysis. After failure of conservative measures, a therapy of daily hot water baths of 30minutes each on non-dialysis days was introduced. All clinical parameters improved, including potassium profile. In this article, we review the history, pathophysiological mechanisms, efficacy and possible side effects of this interesting, somewhat forgotten technique.

Religious coping in schizophrenia patients : spiritual support in medical care and pastoral counselling

Following an introduction focusing on the role of religion in the treatment of psychosis, the first part of this paper describes an initial study in which the role of spirituality and religiosity was assessed in 115 patients with schizophrenia in Geneva (Switzerland) and 126 in Trois-Rivières (Quebec). These themes have been shown to be highly prevalent for these patients, though their clinicians are often unaware of this prevalence. The following part of the paper presents a second study where religious supervision was offered to clinicians in Geneva. Comparison between forty patients who received spiritual assessment and opportunities to work on religious topics with their clinicians was made with thirty patients without religious intervention. In the supervisory sessions, six different types of religious interventions were suggested. Outcomes at three months show that patients of the intervention group maintain their interest for help in religious matters while clinicians' interest in integrating religious topics in discussions with their patients has decreased. The third and main part of the paper is devoted to an analysis of the suggested interventions from the viewpoint of the study of religions. Five aspects of religion are distinguished, and explanations of the reasons some of them are easier to manage for clinicians are proposed. The paper concludes with proposals for the education of clinicians to help them to differentiate different kinds of religious coping and to recognize when it could be helpful to refer the patient to a pastoral counsellor.

Executive Order Number Eighty-Six September, 2014

In this order the governor declares that The University of Northern Iowa's Center for Violence Prevention shall establish the Governor's Office for Bullying Prevention. The Office's mission shall be to empower schools to provide and every student with a safe and respectful learning environment.

Executive Order Number Eighty-Seven, December, 2015

In this order the governor declares that cybersecurity is a top priority for this administration and the State of Iowa should protect its citizens and economy against cyberattacks.

Iowa Utilities Board Fiscal Year 2016 Regulatory Plan Pursuant to Executive Order Nine

The plan is prepared in compliance with Executive Order Number Nine, issued September 14, 1999. Section IV of that order defines a “regulatory action” as a potential rule that is currently under active consideration or development with the agency that the agency reasonably expects to issue in proposed or final form.

Three mathematical models for bucking-to-order

Abstract

Pre-stimulus beta oscillations within left posterior sylvian regions impact auditory temporal order judgment accuracy.

Both neural and behavioral responses to stimuli are influenced by the state of the brain immediately preceding their presentation, notably by pre-stimulus oscillatory activity. Using frequency analysis of high-density electroencephalogram coupled with source estimations, the present study investigated the role of pre-stimulus oscillatory activity in auditory spatial temporal order judgments (TOJ). Oscillations within the beta range (i.e. 18-23Hz) were significantly stronger before accurate than inaccurate TOJ trials. Distributed source estimations identified bilateral posterior sylvian regions as the principal contributors to pre-stimulus beta oscillations. Activity within the left posterior sylvian region was significantly stronger before accurate than inaccurate TOJ trials. We discuss our results in terms of a modulation of sensory gating mechanisms mediated by beta activity.

The Gaussian assumption in second-order estimation problems in digital communications

This paper deals with the goodness of the Gaussian assumption when designing second-order blind estimationmethods in the context of digital communications. The low- andhigh-signal-to-noise ratio (SNR) asymptotic performance of the maximum likelihood estimator—derived assuming Gaussiantransmitted symbols—is compared with the performance of the optimal second-order estimator, which exploits the actualdistribution of the discrete constellation. The asymptotic study concludes that the Gaussian assumption leads to the optimalsecond-order solution if the SNR is very low or if the symbols belong to a multilevel constellation such as quadrature-amplitudemodulation (QAM) or amplitude-phase-shift keying (APSK). On the other hand, the Gaussian assumption can yield importantlosses at high SNR if the transmitted symbols are drawn from a constant modulus constellation such as phase-shift keying (PSK)or continuous-phase modulations (CPM). These conclusions are illustrated for the problem of direction-of-arrival (DOA) estimation of multiple digitally-modulated signals.

Motion estimation using higher-order statistics

The objective of this paper is to introduce a fourth-order cost function of the displaced frame difference (DFD) capable of estimatingmotion even for small regions or blocks. Using higher than second-orderstatistics is appropriate in case the image sequence is severely corruptedby additive Gaussian noise. Some results are presented and compared to those obtained from the mean kurtosis and the mean square error of the DFD.

Wigner higher-order spectra: definition, properties, computation and application to transient signal analysis

The Wigner higher order moment spectra (WHOS)are defined as extensions of the Wigner-Ville distribution (WD)to higher order moment spectra domains. A general class oftime-frequency higher order moment spectra is also defined interms of arbitrary higher order moments of the signal as generalizations of the Cohen’s general class of time-frequency representations. The properties of the general class of time-frequency higher order moment spectra can be related to theproperties of WHOS which are, in fact, extensions of the properties of the WD. Discrete time and frequency Wigner higherorder moment spectra (DTF-WHOS) distributions are introduced for signal processing applications and are shown to beimplemented with two FFT-based algorithms. One applicationis presented where the Wigner bispectrum (WB), which is aWHOS in the third-order moment domain, is utilized for thedetection of transient signals embedded in noise. The WB iscompared with the WD in terms of simulation examples andanalysis of real sonar data. It is shown that better detectionschemes can be derived, in low signal-to-noise ratio, when theWB is applied.

Second-order parameter estimation

This work provides a general framework for the design of second-order blind estimators without adopting anyapproximation about the observation statistics or the a prioridistribution of the parameters. The proposed solution is obtainedminimizing the estimator variance subject to some constraints onthe estimator bias. The resulting optimal estimator is found todepend on the observation fourth-order moments that can be calculatedanalytically from the known signal model. Unfortunately,in most cases, the performance of this estimator is severely limitedby the residual bias inherent to nonlinear estimation problems.To overcome this limitation, the second-order minimum varianceunbiased estimator is deduced from the general solution by assumingaccurate prior information on the vector of parameters.This small-error approximation is adopted to design iterativeestimators or trackers. It is shown that the associated varianceconstitutes the lower bound for the variance of any unbiasedestimator based on the sample covariance matrix.The paper formulation is then applied to track the angle-of-arrival(AoA) of multiple digitally-modulated sources by means ofa uniform linear array. The optimal second-order tracker is comparedwith the classical maximum likelihood (ML) blind methodsthat are shown to be quadratic in the observed data as well. Simulationshave confirmed that the discrete nature of the transmittedsymbols can be exploited to improve considerably the discriminationof near sources in medium-to-high SNR scenarios.