Comparison of two-dimensional gel electrophoresis based and shotgun strategies in the study of plasma membrane proteome

Membrane proteins play important roles in various plasma membrane (PM) activities such as signal transduction and cell recognition. However, a comprehensive proteomic study of membrane proteins remains difficult. Different strategies have been employed to study PM proteome, but little effort has been made to systematically evaluate them. In the present work, liver PM was prepared by subcellular fractionation and an aliquot was washed by sodium carbonate. After evaluation of the PM fraction by electron microscopy and Western blotting, proteins in both original and carbonate washed PM were identified by either 2-DE coupled MALDI-TOF-MS or shotgun strategies. Then protein characteristics such as molecular weight, pI, grand average hydrophobicity, subcellular location, and transmembrane domains were systematically compared. The comparative analysis showed that shotgun strategies were more suitable to identify membrane proteins, while 2-DE-based strategies may serve as a complement. Furthermore, carbonate washing obviously enriched the integral membrane proteins. All the results suggested that the strategy combining carbonate washing and shotgun identification was the optimum strategy to study human liver PM proteome. Using this strategy, 260 high-confidence proteins were identified, wherein 139 were integral membrane proteins which had 1-17 transmembrane domains.     

A call for a fresh new look at the plasma proteome

Serum and plasma from which serum is derived represent a substantial challenge for proteomics due to their complexity. A landmark plasma proteome study was initiated a decade ago by the Human Proteome Organization (HUPO) that had as an objective to examine the capabilities of existing technologies. Given the advances in proteomics and the continued interest in the plasma proteome, it would timely reassess the depth and breadth of analysis of plasma that can be achieved with current methodology and instrumentation. A collaborative project to define the plasma proteome and its variation, with a plan to build a plasma proteome database would be timely.     

Conditions for stabilization of the tokamak plasma vertical instability using only a massless plasma analysis

This paper describes the problem of feedback control for stabilization of the plasma vertical instability in a tokamak. Such controllers are typically designed based on a model that assumes the plasma mass m is identically zero while in reality the mass is small but positive. The assumption that m is zero can lead to a controller that appears to be stabilizing according to the massless analysis but in fact can increase the instability of the physical system.In this work, we consider a general class of controllers, which contains as a special case the type of controller most commonly used in operating tokamaks to stabilize the vertical instability, a proportional-derivative controller. Suppose C is a controller in this class which stabilizes the vertical instability with plasma mass assumed to be zero. We give easy-to-check necessary and sufficient conditions for C to also stabilize the physical system, in which the plasma actually has a small mass. We allow for the possibility that the tokamak could have both superconducting and resistive conductors.The practical implications of the results presented provide substantial insight into some long-standing issues regarding feedback stabilization of the vertical instability with PD controllers and also provide a rigorous foundation for the common practice of designing controllers assuming m=0. For controllers that operate only on the plasma vertical position, we settle the question: when are m=0 models predictive of actual plasma behavior?     

An analysis of the reduction of elasticity on the ageing of human skin and the recovering effect of a facial massage

Based on a study of human hand movements during practical diagnosis, evaluation patterns of softness and elasticity were observed. The evaluation models were extracted from these analyses and applied to the developing a method of detecting the dynamic properties of human skin. The device consisted of a robot arm controlled by microcomputer system and a probe with a mounted mechanical strain gauge. A method was developed to measure the dynamic properties of human skin. Correlations were obtained between parameters from the measurements and the values evaluated by experts. The dynamic properties of the cheek skins of a panel of 86 people, aged from 20 to 75 years, were measured. A remarkable reduction in elasticity was observed in older people and the lack of sebum was analysed. From these results the metabolism in the skin surface and the muscles of the cheeks were analysed. The effects of skin care products were then confirmed by measuring cheeks before and after continual use of facial treatment systems for a month. Significant recovery effects were observed in a less soft-skinned group and a less elastic-skinned group over 30 years of age. These experiments suggest a protecting effect of facial treatments and skin care products.     

基于受力分析的MEMS薄膜系统级模拟方法的研究

介绍一种MEMS系统级模拟方法.该方法直接分析运动物体的受力情况,并结合能量原理,利用受控源的反馈实现耦合作用,建立机电耦合MEMS薄膜的等效电路模型.利用该等效电路实现对薄膜动态行为的系统级模拟,并将Spice和有限元法,Saber的模拟结果进行对比,验证了该模拟方法应用于二维情况分析的有效性.     

A statistical human resources costing and accounting model for analysing the economic effects of an intervention at a workplace

The study had two primary aims. The first aim was to combine a human resources costing and accounting approach (HRCA) with a quantitative statistical approach in order to get an integrated model. The second aim was to apply this integrated model in a quasi-experimental study in order to investigate whether preventive intervention affected sickness absence costs at the company level. The intervention studied contained occupational organizational measures, competence development, physical and psychosocial working environmental measures and individual and rehabilitation measures on both an individual and a group basis. The study is a quasi-experimental design with a non-randomized control group. Both groups involved cleaning jobs at predominantly female workplaces. The study plan involved carrying out before and after studies on both groups. The study included only those who were at the same workplace during the whole of the study period. In the HRCA model used here, the cost of sickness absence is the net difference between the costs, in the form of the value of the loss of production and the administrative cost, and the benefits in the form of lower labour costs. According to the HRCA model, the intervention used counteracted a rise in sickness absence costs at the company level, giving an average net effect of 266.5 Euros per person (full-time working) during an 8-month period. Using an analogue statistical analysis on the whole of the material, the contribution of the intervention counteracted a rise in sickness absence costs at the company level giving an average net effect of 283.2 Euros. Using a statistical method it was possible to study the regression coefficients in sub-groups and calculate the p-values for these coefficients; in the younger group the intervention gave a calculated net contribution of 605.6 Euros with a p-value of 0.073, while the intervention net contribution in the older group had a very high p-value. Using the statistical model it was also possible to study contributions of other variables and interactions. This study established that the HRCA model and the integrated model produced approximately the same monetary outcomes. The integrated model, however, allowed a deeper understanding of the various possible relationships and quantified the results with confidence intervals.     

When paradigms collide at the road rail interface: evaluation of a sociotechnical systems theory design toolkit for cognitive work analysis

The Cognitive Work Analysis Design Toolkit (CWA-DT) is a recently developed approach that provides guidance and tools to assist in applying the outputs of CWA to design processes to incorporate the values and principles of sociotechnical systems theory. In this paper, the CWA-DT is evaluated based on an application to improve safety at rail level crossings. The evaluation considered the extent to which the CWA-DT met pre-defined methodological criteria and aligned with sociotechnical values and principles. Both process and outcome measures were taken based on the ratings of workshop participants and human factors experts. Overall, workshop participants were positive about the process and indicated that it met the methodological criteria and sociotechnical values. However, expert ratings suggested that the CWA-DT achieved only limited success in producing RLX designs that fully aligned with the sociotechnical approach. Discussion about the appropriateness of the sociotechnical approach in a public safety context is provided.

Practitioner Summary: Human factors and ergonomics practitioners need evidence of the effectiveness of methods. A design toolkit for cognitive work analysis, incorporating values and principles from sociotechnical systems theory, was applied to create innovative designs for rail level crossings. Evaluation results based on the application are provided and discussed.     

Integration of Adaptive Neuro Fuzzy Inference Systems and principal component analysis for the control of tertiary scale formation on tinplate at a hot mill

Scale is highly detrimental to surface quality for tinplate products. There are a large number of process variables at a typical hot mill and principal component analysis is a well-known technique for reducing the number of process variables. This paper estimates the principal components associated with the hot mill process variables and puts these through an Adaptive Neuro Fuzzy Inference System (ANFIS) to find those hot mill running conditions that will minimise the amount of scale observed on the bottom of the rolled strip. It was found that the variation observed in all the hot mill process variables could be captured through the use of just six principal components, and that using just three of these in an ANFIS was sufficient to identify those operating conditions leading to coils being produced with a consistently low scale count. Specifically, it was found that the best operating conditions for the hot mill were when the first component was lower than −0.098 the second lower than 0.8058 and the third higher than −0.482. These ranges in turn corresponded to certain hot mill temperatures that depended to some extent on the base chemistry of the incoming slab.