Measurement and prediction of pressure drop in two-phase flow

Experimental data for air–water two-phase co-current flow in two different pipe diameters were used to test the prediction of pressure drop by a number of existing theories and correlations. Several models are shown to be useful for prediction, particularly with the stratified regimes which have proved difficult to handle in the past. The model suggested by Olujic proved to be of particular value.     

DEPENDENCE OF PREDICTION MODEL OF FORMING LIMIT STRAINS ON FORMING METHOD AND MECHANICAL PROPERTIES OF SHEET METALS

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Hierarchical classification of protein function with ensembles of rules and particle swarm optimisation

This paper focuses on hierarchical classification problems where the classes to be predicted are organized in the form of a tree. The standard top-down divide and conquer approach for hierarchical classification consists of building a hierarchy of classifiers where a classifier is built for each internal (non-leaf) node in the class tree. Each classifier discriminates only between its child classes. After the tree of classifiers is built, the system uses them to classify test examples one class level at a time, so that when the example is assigned a class at a given level, only the child classes need to be considered at the next level. This approach has the drawback that, if a test example is misclassified at a certain class level, it will be misclassified at deeper levels too. In this paper we propose hierarchical classification methods to mitigate this drawback. More precisely, we propose a method called hierarchical ensemble of hierarchical rule sets (HEHRS), where different ensembles are built at different levels in the class tree and each ensemble consists of different rule sets built from training examples at different levels of the class tree. We also use a particle swarm optimisation (PSO) algorithm to optimise the rule weights used by HEHRS to combine the predictions of different rules into a class to be assigned to a given test example. In addition, we propose a variant of a method to mitigate the aforementioned drawback of top-down classification. These three types of methods are compared against the standard top-down hierarchical classification method in six challenging bioinformatics datasets, involving the prediction of protein function. Overall HEHRS with the rule weights optimised by the PSO algorithm obtains the best predictive accuracy out of the four types of hierarchical classification method.     

A method for rapidly assessing and refining simple solvent treatments in molecular modelling. Example studies on the antigen-combining loop H2 from FAB fragment McPC603

Different simple solvent models have been implemented in anextended simulated annealing process (ESAP), developed by Higoet al. [(1992) Biopolymers, 32, 33–43] and proven to beable to predict ab initio the conformation of the antigen-combiningloop H2 from FAB McPC603. Hie rationale used here provides auseful new method for testing solvent models in general. Thedifferent solvent models comprise a high dielectric constant,a screened coulomb potential, a dummy water model and a statisticalcontinuum treatment of the solvent effect in which the reactionfield and the solvent accessible area is accounted for. To assessthe effect of the solvent, we tested the ability of simulationsto retain the experimental conformation of loop H2. We comparedthe different structures obtained at the end of the annealingprocess in terms of root mean square deviation (r.m.s.d.), forboth the backbone and for all atoms, root mean square (r.m.s.)fluctuation, solvent accessible surface area (ASA), hydrogenbonding network and - plot distribution. The relationship betweenthe r.m.s.d. and the internal energy of a structure is alsoevaluated in terms of precision and another possible methodfor obtaining the best conformation is discussed. The accuracyof modelling the coarse effect of the solvent and the similaritiesof the resulting structures with respect to the X-ray referencestructure are examined. The possible choice of one of thesesolvent models in the structure determination of an unknownloop structure is discussed     

利用GM（1,1）模型对地下水恢复进行预测分析

沧州市区关停深层自备井后,深层地下水恢复取得了明显的效果。本文采用色系统中GM（1,1）模型对第Ⅴ含水组地下水埋深进行预测。     

Development and validation of a biodynamic model for predicting multi-finger movements in cylinder-grasping tasks †

This article describes the development and validation of a model for predicting multi-finger movements in grasping activities. The model builds upon a newly proposed approach that incorporates forward dynamics and a system identification procedure, and is amenable to empirical tests. A database of multi-fingered grasping movements performed by 28 subjects was established and divided into four sets, one for model development and three for model validation. In the development phase, model parameter values were estimated by the iterative system identification procedure through a physics-based heuristic algorithm. The estimated parameter values were then statistically synthesised and integrated into the prediction model. In the validation phase, the model was applied to three novel datasets containing different grasping movements involving objects of varied sizes and different subjects. The results demonstrated the model's ability to predict hand prehensile movements with error magnitudes comparable to the inter-person variability in performing such movements. New insights into the control of multi-fingered hand prehensile movements at the systems and joint levels emerged from the model development and validation process. The current study contributes to building a foundation for long-term development of realistic biodynamic simulation of multi-finger hand movements. Such simulation capabilities will aid in design of hand-operated tools, devices or hand-intensive work for proactive ergonomics and in evaluation as well as treatment of functional impairment of the hand.     

GM（1,1）在航道驳岸沉降监测中的应用

在施工建设中,实时准确地观测、分析和预报建筑物的沉降变形对最后施工的成功与否有着很大的影响。在变形监测中经常遇到数据信息不完备的情况,而灰色系统理论则是用来解决此问题的有效方法。建立了灰色预测模型,并将其应用于苏南运河整治工程中新建驳岸的沉降监测分析和预测中,预测效果较好。     

Performance of Alcohol and Safer Sex Change Rulers Compared With Readiness to Change Questionnaires.

As part of a larger intervention study, the authors hypothesized that change rulers created for alcohol and safer sex would be equivalent to longer questionnaires. Ninety-six male college students completed rulers and questionnaires for assessing behavior change readiness. Participants' scores on the rulers significantly correlated with their scores on the questionnaires (r = .77 for alcohol; r = .77 for safer sex). In both domains, the rulers outperformed the questionnaires in predicting behavioral intentions, suggesting that the rulers had at least comparable concurrent criterion validity. This finding is the first of its kind in the safe sex literature and suggests that quick assessments of readiness to change are possible. Because the rulers are a continuous measure, the results are consistent with the idea that the change process is continuous rather than a series of discrete stages. (PsycINFO Database Record (c) 2010 APA, all rights reserved)     

平面绕流泥沙磨损试验及水轮机磨损预估

本文介绍室内平面绕流磨损试验结果和应用于真机的磨损预估，与刘家峡、葛洲坝机组实测磨损量核算结果差别不大。在此基础上对在建的小浪底机组做了估算，并提出了一些看法。     

事故预测模型的建立与应用

阐述了事故发生的时序随机平稳性,采用最小二乘法进行相关分析,建立了事故频数与年序数之间的回归预测模型,应用事故预测模型,对某单位15年事故进行了相关分析与计算,预测了未来年度该单位可能发生的事故频数,及其预测区间.对该事故预测模型的应用进行了简单的说明.