Endothelium-dependent vasodilatation is impaired in peritoneal dialysis patients

BACKGROUND: Peritoneal dialysis (PD) patients have a high risk of cardiovascular mortality, which is not completely explained by conventional risk factors. Other factors related to chronic renal failure and/or dialysis treatment might lead to endothelial dysfunction, which is associated with an adverse cardiovascular outcome. One such factor is hyperhomocysteinaemia, which has a high prevalence in PD patients. METHODS: A vessel wall movement detector system was used to investigate endothelium-dependent, flow-mediated, and endothelium-independent, glyceryl trinitrate-induced, vasodilatation of the brachial artery in 29 PD patients and 29 control subjects. RESULTS: Endothelium-dependent vasodilatation was markedly reduced in the PD group: 5.7 +/- 1.0% vs 10.4 +/- 1.3% in the control group (P = 0.004). Endothelium-independent vasodilatation was not impaired. Plasma total homocysteine was elevated in the PD patients (45.2 +/- 6.2 micromol/l), but was not related to endothelium-dependent vasodilatation. CONCLUSION: Chronic peritoneal dialysis patients have impaired endothelium-dependent vasodilatation, which may reflect an increased susceptibility for the development of atherosclerosis and thrombosis.     

Online mining abnormal period patterns from multiple medical sensor data streams

With the advanced technology of medical devices and sensors, an abundance of medical data streams are available. However, data analysis techniques are very limited, especially for processing massive multiple physiological streams that may only be understood by medical experts. The state-of-the-art techniques only allow multiple medical devices to independently monitor different physiological parameters for the patient’s status, thus they signal too many false alarms, creating unnecessary noise, especially in the Intensive Care Unit (ICU). An effective solution which has been recently studied is to integrate information from multiple physiologic parameters to reduce alarms. But it is a challenge to detect abnormalities from high frequently changed physiological streams data, since abnormalities occur gradually due to the complex situation of patients. An analysis of ICU physiological data streams shows that many vital physiological parameters are changed periodically (such as heart rate, arterial pressure, and respiratory impedance) and thus abnormalities are generally abnormal period patterns. In this paper, we develop a Mining Abnormal Period Patterns from Multiple Physiological Streams (MAPPMPS) method to detect and rank abnormalities in medical sensor streams. The efficiency and effectiveness of the MAPPMPS method is demonstrated by a real-world massive database of multiple physiological streams sampled in ICU, comprising 250 patients’ streams (each stream involving over 1.3 million data points) with a total size of 28 GB data.     

Treatment of Acid Leachate from Coal Discard using Calcium Carbonate and Biological Sulphate Removal

Abstract.   An integrated approach is proposed for treating acidic coal discard leachate, consisting of CaCO₃ handling and dosing, CaCO₃-neutralization, and biological sulphate removal. It was found that: powdered CaCO₃ can be slurried to a constant density and used to neutralize the acid water, remove Fe (II), Fe (III), and Al, and partially remove the sulphate (to saturation level); biological sulphate removal can be used to lower the sulphate to less than 200 mg/L using ethanol as the carbon and energy source; CO₂ produced during calcium carbonate treatment can be used for H₂S-stripping and; H₂S gas recovered in the sulphate removal stage can be used for iron removal.     

Optimum nonlinear turn-off snubbers: design and application

The optimization of the general turn-off snubber, consisting of a nonlinear saturable snubber capacitor with an energy recovery circuit, is done in terms of minimum total energy loss in the power electronic turn-off circuit. To analyze this nonlinear circuit without a computer simulation, a two-step piecewise-linear approximation of the capacitor's capacitance-voltage curve is presented. Results regarding the total energy loss in the circuit during the switch turn-off indicate that the nonlinear capacitor as a snubber element is superior to the normal linear capacitor even if the ceramic capacitor is used only up to its specified voltage value     

An optimal image transform for threshold-based cloud detection using heteroscedastic discriminant analysis

We present a simple image transform that optimally combines four image channels into a greyscale image for threshold-based cloud detection. These image channels, namely blue, green, red and near infrared, are present on many low Earth-orbit resource satellites. Applying a single threshold to a greyscale image is a computationally efficient method suitable for onboard implementation. We used heteroscedastic discriminant analysis (HDA), which is a generalization of the popular dimension-reducing linear discriminant analysis, to transform the image. Comparative tests between HDA, existing transforms from the remote-sensing literature (the haze optimized and D transforms), as well as the single red and blue image channels were conducted. Although thin clouds remain challenging for global threshold-based techniques, the HDA transform consistently gave the best average segmentation errors across the test dataset. This dataset consisted of 32 1 megapixel Quickbird and Landsat images. HDA has not previously been applied to remote-sensing data.     

Influence of Montmorillonite on the Dissolution and Bioavailablity of Phenyton

The dissolution of phenytoin were studied from various phentyoin-montmorillonite combinations. Firstly, phentoin-montmorllionite combinations were obtained by precipitating phenytoin from two different solvents on to montmorillonite using drug to montmorillonite ratios. Secondly, physical mixtures of phenytoin and montmorillonite were prepared in were compressed into tablets and the dissolution rates were determined. The dissolution rates of phenytoin with the dissolution rates of the combinations. The montmorillonite increased the dissolution rate of phenyton from all the combinations to such an extent that the dissolution rates compressed well with those obtained form phenytoin sodium.

The bioavailability of phentyoin from three different phenytoin-montmorillonite mixutres were compared well the bioavailability from a phenytoin sodium capsule in four volunters. More phenytoin were absorbed from the phenytoin-montrillonite mixtures than from the phenytoin sodium. The absorption rate of phenytoin from the three different montmorillonite mixtures were fastef than from the phenytoin sodium capsule for the first hour, after administtration. After one hour the phenytoin blood levels from the phenytoin-montmorillonite mixtures started to level of to reach lower peak concentrations in plasma than that obtained from phenytoin-montmorillonite mixtures (1:1 and 1:9 ratios) was more than that absorbed form phenytoin sodium. The advantages of combining phenytoin and montmorillonite for the improvement of the bioavailability of phenytoin have clearly been demonstrated.     

The impact of a call centre on communication in a programme and its projects

Call centres are increasingly being utilised in public sector programmes to facilitate and manage communication between numerous stakeholders. Yet, the impact of call centres on projects has not been investigated. This paper reports on a survey with 92 respondents that assessed the impact of a call centre for a repair and maintenance programme. An empirically verified model is presented to illustrate the relationship between call centre communication and project performance. A balance of frequent informal and formal communication is shown to reduce mistrust and conflict of interest resulting from each party trying to maximise his respective economic position in the principal–agency relationship. The data provides evidence that a call centre improves the communication, collaboration and trust in project principal–agency relationships which, in turn, is perceived to contribute to project performance.     

Mortar fatigue model for meso-mechanistic mixture design of ravelling resistant porous asphalt concrete

This paper presents the development of a practical mortar fatigue model on the basis of the dissipated energy concept. A specially designed test setup was developed for characterization of mortar fatigue at meso-scale by means of dynamic shear rheometer. Test results showed that mortar fatigue models based on the dissipated energy concept can be developed for the purpose of life predictions under complicated loading conditions. The dissipated energy per cycle in the initial phase of fatigue tests is a practical indicator for fatigue life determination purposes than the total energy dissipated during a fatigue test. Since a mortar fatigue model based on the initial dissipated energy per cycle was adopted, effects of random stress and strain signals on mortar fatigue can be taken into account.