120 resultados para Blind equalisers


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Nail biting is a common behavioral problem. While there are established behavioral interventions for management, they are of modest efficacy, and there is minimal evidence for effective pharmacotherapy. This study investigated the role of N-acetylcysteine (NAC) a potent glutathione and glutamate modulator for the treatment of pathological nail biting in children and adolescents. This pilot randomized, double-blind, placebo-controlled clinical trial of NAC (800mg/day) or placebo enrolled 42 children and adolescents with chronic nail biting. Nail length was the objective outcome. Evaluations were carried out three times; before treatment, one month after enrollment in the study, and two months after enrollment. The duration (chronicity) of nail biting in the NAC and placebo groups was 3.63(2.45) and 5.09(3.74) years (P=0.14). The mean nail length gradually increased in both the NAC and placebo groups during this trial. There was a statistically significant difference between the two groups regarding increased nail length after the first month of trial [(5.21(5.75) and 1.18(3.02) millimeters], however no difference after two months was observed. Two patients in the NAC group discontinued medication due to adverse events. One patient experienced headache, agitation, and social withdrawal, and another patient expressed severe aggression after taking medication and was withdrawn from the study. This study supports the hypothesis that NAC decreases nail biting behavior in children and adolescents over the short term. NAC is relatively well tolerated and severe adverse effects are rare. However, there was a high rate of dropout. Further studies with longer durations that build on these preliminary data are recommended.

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While statins target many of the pathways to neuroprogression in schizophrenia, the safety and efficacy of statins for treating schizophrenia has never been examined. This is an 8-week randomized double blind controlled clinical trial examining the efficacy and safety of adjunctive lovastatin (20 mg/day) treatment or placebo for people with schizophrenia. The baseline characteristics of the two groups were not different. Endpoint changes in Positive and Negative Syndrome Scale (PANSS) total and subscale scores did not differ between the two groups. However there was a significant difference between the doses of risperidone used in the two groups. The mean dose in the lovastatin and placebo groups were 4.8(1.8) and 3.4(1.4) mg/day, respectively (P<.03). No serious adverse events were reported. Slowness of movements, muscle rigidity, increased appetite, and decreased energy were the most common adverse effects, and these rates did not differ between the two groups. This study failed to demonstrate a benefit of lovastatin on symptoms of schizophrenia. This combination was well tolerated. However, a higher dosage of risperidone was used for treating the disorder in those taking concomitant lovastatin compared to placebo.

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Aripiprazole and risperidone are the only FDA approved medications for treating irritability in autistic disorder, however there are no head-to-head data comparing these agents. This is the first prospective randomized clinical trial comparing the safety and efficacy of these two medications in patients with autism spectrum disorders. Fifty nine children and adolescents with autism spectrum disorders were randomized to receive either aripiprazole or risperidone for 2 months. The primary outcome measure was change in Aberrant Behavior Checklist (ABC) scores. Adverse events were assessed. Aripiprazole as well as risperidone lowered ABC scores during 2 months. The rates of adverse effects were not significantly different between the two groups. The safety and efficacy of aripiprazole (mean dose 5.5 mg/day) and risperidone (mean dose 1.12 mg/day) were comparable. The choice between these two medications should be on the basis of clinical equipoise considering the patient's preference and clinical profile.

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US authorities have recommended 'black-box' warnings for antidepressants because of the increased risk of suicidality for individuals up to age 25. There is thus a clinical and ethical imperative to provide effective treatment for youth depression with an acceptable risk-benefit balance. Long-chain omega-3 polyunsaturated fatty acids (PUFAs) play an important role in a range of physiological processes in living organisms. Supplementation with omega-3 PUFAs has been shown to have a range of beneficial effects on both physical and mental health, and results of previous trials suggest that omega-3 PUFAs may be a safe and effective treatment for depression. However, conclusions from these trials have been limited by their relatively small sample sizes.

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While current pharmacotherapies are efficacious, there remain a clear shortfall between symptom remission and functional recovery. With the explosion in our understanding of the biology of these disorders, the time is ripe for the investigation of novel therapies. Recently depression is conceptualized as an immune-inflammatory and nitro-oxidative stress related disorder. Minocycline is a tetracycline antibiotic that has anti-inflammatory, pro-oxidant, glutamatergic, neurotrophic and neuroprotective properties that make it a viable target to explore as a new therapy. This double blind, randomised, placebo controlled adjunctive trial will investigate the benefits of 200 mg/day of minocycline treatment, in addition to any usual treatment, as an adjunctive treatment for moderate-severe major depressive disorder. Sixty adults are being randomised to 12 weeks of treatment (with a 4 week follow-up post-discontinuation). The primary outcome measure for the study is mean change on the Montgomery-Asberg Depression Rating Scale (MADRS), with secondary outcomes including the Social and Occupational Functioning Assessment Scale (SOFAS), Clinical Global Impressions (CGI), Hamilton Rating Scale for Anxiety (HAM-A), Patient Global Impression (PGI), Quality of Life Enjoyment and Satisfaction Questionnaire (Q-LES-Q) and Range of Impaired Functioning Tool (LIFE-RIFT). Biomarker analyses will also be conducted at baseline and week 12. The study has the potential to provide new treatment targets, both by showing efficacy with a new class of 'antidepressant' but also through the analysis of biomarkers that may further inform our understanding of the pathophysiology of unipolar depression.

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This paper deals with blind equalization of single-input-multiple-output (SIMO) finite-impulse-response (FIR) channels driven by i.i.d. signal, by exploiting the second-order statistics (SOS) of the channel outputs. Usually, SOS-based blind equalization is carried out via two stages. In Stage 1, the SIMO FIR channel is estimated using a blind identification method, such as the recently developed truncated transfer matrix (TTM) method. In Stage 2, an equalizer is derived from the estimate of the channel to recover the source signal. However, this type of two-stage approach does not give satisfactory blind equalization result if the channel is ill-conditioned, which is often encountered in practical applications. In this paper, we first show that the TTM method does not work in some situations. Then, we propose a novel SOS-based blind equalization method which can directly estimate the equalizer without knowing the channel impulse responses. The proposed method can obtain the desired equalizer even in the case that the channel is ill-conditioned. The performance of our method is illustrated by numerical simulations and compared with four benchmark methods. © 2014 Elsevier Inc.

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To evaluate the safety and efficacy of methazolamide as a potential therapy for type 2 diabetes.

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The Empirical Mode Decomposition (EMD) method is a commonly used method for solving the problem of single channel blind source separation (SCBSS) in signal processing. However, the mixing vector of SCBSS, which is the base of the EMD method, has not yet been effectively constructed. The mixing vector reflects the weights of original signal sources that form the single channel blind signal source. In this paper, we propose a novel method to construct a mixing vector for a single channel blind signal source to approximate the actual mixing vector in terms of keeping the same ratios between signal weights. The constructed mixing vector can be used to improve signal separations. Our method incorporates the adaptive filter, least square method, EMD method and signal source samples to construct the mixing vector. Experimental tests using audio signal evaluations were conducted and the results indicated that our method can improve the similar values of sources energy ratio from 0.2644 to 0.8366. This kind of recognition is very important in weak signal detection.

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Little controlled data exist on the treatment of substance induced psychotic disorders. In this study, 30 patients meeting DSM-IV criteria for cannabis induced psychotic disorder were randomly allocated to receive either olanzapine or haloperidol in a 4-week double-blind clinical trial. There were no significant outcome differences between the two groups on any of the primary outcome measures, the Brief Psychiatric Rating Scale (haloperidol 25.7; olanzapine 27.1; P = 0.70); Clinical Global Impression (CGI) severity scale (haloperidol 1.8, olanzapine 2.3; P = 0.21) or the CGI improvement scale (haloperidol 1.3, olanzapine 1.7; P = 0.16). The haloperidol group however, developed significantly more extrapyramidal side-effects as measured by the Simpson Angus Scale (haloperidol 11.4, olanzapine 2.5; P = 0.014). Significantly (P = 0.027) more biperidin was used for extrapyramidal side-effects in the haloperidol (7.143 mg) than in the olanzapine (0.357 mg) group. Olanzapine appears to be as effective as haloperidol in the treatment of cannabis induced psychotic disorder, but is associated with a lower rate of extrapyramidal side-effects.

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Extracting a signal of interest from available measurements is a challenging problem. One property which can be utilized to extract the signal is cyclostationarity, which exists in many signals. Various blind source separation methods based on cyclostationarity have been reported in the literature but they assume that the mixing system is instantaneous. In this paper, we propose a method for blind extraction of cyclostationary signal from convolutional mixtures. Given that the signal of interest has a unique cyclostationary frequency and the sensors are placed close to the concerned signal, we show that the signal of interest can be estimated from the measured data. Simulations results show the effectiveness of our method.

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Evidence of the antidepressant efficacy of lamotrigine is increasing, although there are no placebo-controlled trials of lamotrigine augmentation in depression. The aim of this study was to assess if augmentation with lamotrigine was superior to placebo in patients who were receiving fluoxetine for resistant major depressive episodes.