Basal ganglia oscillations and pathophysiology of movement disorders

Low frequency rest tremor is one of the cardinal signs of Parkinson's disease and some of its animal models. Current physiological studies and models of the basal ganglia differ as to which aspects of neuronal activity are crucial to the pathophysiology of Parkinson's disease. There is evidence that neural oscillations and synchronization play a central role in the generation of the disease. However, parkinsonian tremor is not strictly correlated with the synchronous oscillations in the basal ganglia networks. Rather, abnormal basal ganglia output enforces abnormal thalamo-cortical processing leading to akinesia, the main negative symptom of Parkinson's disease. Parkinsonian tremor has probably evolved as a downstream compensatory mechanism.     

A Novel Algorithm to Enhance P300 in Single Trials: Application to Lie Detection Using F-Score and SVM

The investigation of lie detection methods based on P300 potentials has drawn much interest in recent years. We presented a novel algorithm to enhance signal-to-noise ratio (SNR) of P300 and applied it in lie detection to increase the classification accuracy. Thirty-four subjects were divided randomly into guilty and innocent groups, and the EEG signals on 14 electrodes were recorded. A novel spatial denoising algorithm (SDA) was proposed to reconstruct the P300 with a high SNR based on independent component analysis. The differences between the proposed method and our/other early published methods mainly lie in the extraction and feature selection method of P300. Three groups of features were extracted from the denoised waves; then, the optimal features were selected by the F-score method. Selected feature samples were finally fed into three classical classifiers to make a performance comparison. The optimal parameter values in the SDA and the classifiers were tuned using a grid-searching training procedure with cross-validation. The support vector machine (SVM) approach was adopted to combine with an F-score because this approach had the best performance. The presented model F-score_SVM reaches a significantly higher classification accuracy for P300 (specificity of 96.05%) and non-P300 (sensitivity of 96.11%) compared with the results obtained without using SDA and compared with the results obtained by other classification models. Moreover, a higher individual diagnosis rate can be obtained compared with previous methods, and the presented method requires only a small number of stimuli in the real testing application.     

Evaluation of P-glycoprotein expression in soft tissue sarcomas of the extremities

Soft tissue sarcomas comprise a heterogeneous group of mesenchymal tumors accounting for less than one-percent of adult neoplasms. In the last few years, the use of adjuvant chemotorapy has been proposed for the treatment of these lesions in order to obain a better systemic control, but its usefulness is still controversial. In this study, we evaluated whether P-glycoprotein, a membrane protein strictly associated with multidrug resistance, is overexpressed in soft tissue sarcomas. By using human multidrug resistant sarcoma cell lines as controls, we analyzed P-glycoprotein expression in 34 primary and in 23 relapsed soft tissue sarcomas of the extremities. Overexpression of P-glycoprotein was found in 6 out of 34 primaries (18%) and in 8 out of 23 relapses (35%). In particular, in malignant fibrous histiocytoma, the most frequent soft tissue sarcoma of adults, P-glycoprotein overexpression was found in 23% of primary untreated cases, in agreement with the reported relapse rate of this tumor after surgery and chemotherapy. These data suggest that, in soft tissue sarcomas, overexpression of P-glycoprotein may be of prognostic value and that the assessment of P-glycoprotein expression may be useful for the design of chemotherapy protocols.Abbreviations MDR multidrug-resistance - STS soft tissue sarcomas     

Lack of a Negative Effect of BCG-Vaccination on Child Psychomotor Development: Results from the Danish Calmette Study - A Randomised Clinical Trial

ObjectivesTo assess the non-specific effect of Bacillus Calmette-Guérin (BCG) vaccination at birth on psychomotor development.DesignThis is a pre-specified secondary outcome from a randomised, clinical trial.SettingMaternity units and paediatric wards at three university hospitals in Denmark.ParticipantsChildren born at gestational age (GA) 32 weeks and above. All women planning to give birth at the three sites were invited during the recruitment period. Out of 4262 randomised children, 144 were premature (GA < 37 weeks). There were 2129 children (71 premature) randomised to BCG and 2133 randomised (73 premature) to the control group.InterventionsBCG vaccination 0.05 ml was given intradermally in the upper left arm at the hospital within seven days of birth. Children in the control group did not receive any intervention. Parents were not blinded to allocation.ResultsThe mean difference in ASQ score at 12 months adjusted for age and prematurity was -0.7 points (BCG vs. control, 95% confidence interval; -3.7 to 2.4), p = 0.67, corresponding to an effect size of Cohen’s d = -0.015 (-0.082 to 0.052). The mean difference in ASQ score for premature children at 22 months was -7.8 points (-20.6 to 5.0, p = 0.23), d = -0.23 (-0.62 to 0.15).ConclusionsA negative non-specific effect of BCG vaccination at birth on psychomotor development was excluded in term children.

Trial Registration

ClinicalTrials.gov {"type":"clinical-trial","attrs":{"text":"NCT01694108","term_id":"NCT01694108"}}NCT01694108     

不同基质和处理对6种山茶花扦插成活率的影响

研究不同基质和处理对6个拟作为年宵花的山茶花新品种扦插成活率的影响。采用3种不同的基质配比和3种不同的处理对6个品种的山茶花进行了扦插试验。结果表明,泥炭与黄土或珍珠岩的混合基质最适合该6个品种的扦插生根,生根粉对6个山茶花品种的成活率影响不大,但插口加裹黄土后能有效提高其成活率。6个品种在最佳的扦插条件下的成活率在85%-92%之间。研究结果为快速大量地生产这些品种提供技术支持。     

无线传感器网络中基于缠绕多路径的ReInforM路由

对缠绕多路径算法技术的基本构建方法和ReInforM路由算法技术的基本过程进行了讨论,分析了其在无线传感器网络应用中的发展方向,提出了基于缠绕多路径的ReInforM路由。     

Highly Stable Supercapacitors with Conducting Polymer Core‐Shell Electrodes for Energy Storage Applications

Conducting polymers such as polyaniline (PAni) show a great potential as pseudocapacitor materials for electrochemical energy storage applications. Yet, the cycling instability of PAni resulting from structural alteration is a major hurdle to its commercial application. Here, the development of nanostructured PAni–RuO₂ core–shell arrays as electrodes for highly stable pseudocapacitors with excellent energy storage performance is reported. A thin layer of RuO₂ grown by atomic layer deposition (ALD) on PAni nanofibers plays a crucial role in stabilizing the PAni pseudocapacitors and improving their energy density. The pseudocapacitors, which are based on optimized PAni–RuO₂ core–shell nanostructured electrodes, exhibit very high specific capacitance (710 F g^?1 at 5 mV s^?1) and power density (42.2 kW kg^?1) at an energy density of 10 Wh kg^?1. Furthermore, they exhibit remarkable capacitance retention of ≈88% after 10 000 cycles at very high current density of 20 A g^?1, superior to that of pristine PAni‐based pseudocapacitors. This prominently enhanced electrochemical stability successfully demonstrates the buffering effect of ALD coating on PAni, which provides a new approach for the preparation of metal‐oxide/conducting polymer hybrid electrodes with excellent electrochemical performance.