Memetic Pareto differential evolutionary neural network used to solve an unbalanced liver transplantation problem

Donor–recipient matching constitutes a complex scenario difficult to model. The risk of subjectivity and the likelihood of falling into error must not be underestimated. Computational tools for the decision-making process in liver transplantation can be useful, despite the inherent complexity involved. Therefore, a multi-objective evolutionary algorithm and various techniques to select individuals from the Pareto front are used in this paper to obtain artificial neural network models to aid decision making. Moreover, a combination of two pre-processing methods has been applied to the dataset to offset the existing imbalance. One of them is a resampling method and the other is a outlier deletion method. The best model obtained with these procedures (with AUC = 0.66) give medical experts a probability of graft survival at 3 months after the operation. This probability can help medical experts to achieve the best possible decision without forgetting the principles of fairness, efficiency and equity.     

实施新城市规划战略的日程

在过去30年甚至更长的时间里，发达国家采用传统的城市规划方式致力于创建有效的、经济上可行的并且适合于人类居住的城市。规划过程通常围绕以下几个问题展开：我们在哪里？我们想住在什么样的地方？我们如何去实现我们愿望？我们如何规划未来？我们需要采取什么行动？     

Estimation of Cost Recovery Ratio for Water Services Based on the System of Environmental-Economic Accounting for Water

This paper proposes a methodology to compute a cost recovery ratio directly from the System of Environmental-Economic Accounting for Water (SEEA-Water) standard tables. The methodology is applied to the Guadalquivir River Basin in southern Spain. Results illustrate that it allows cost recovery analysis in line with Water Framework Directive Article 9. Wider adoption of the methodology would enhance comparability and knowledge sharing between regions, countries and sectors both in the European Union and worldwide.     

Entropy-Based Choice of a Neural Network Drive Model

The design of a neural network requires, among other things, a proper choice of input variables, avoiding over fitting and an unnecessarily complex input vector. This may be achieved by trying to reduce the arbitrariness in the choice of the input layer. This paper discusses the relation between the memory range of a particular controlled dynamical system (induction drive) and the dimension of the neural network input vector. Mathematical techniques of process-reconstruction of the underlying process, using coding and block entropies to characterize the measure and memory range were applied. These modeling techniques provide a precise knowledge of the drive dynamics, a fundamental requirement in modern control approaches     

Functions of singular random matrices with applications

This article describes how the Jacobian is found for certain functions of a singular random matrix, both in the general case and in that of a non-negative, definite random matrix. The Jacobian of the transformationV=S ² is found whenS is non-negative definite; in addition, the Jacobian of the transformationY=X ⁺ is determined whenX ⁺ is the generalized, or Moore-Penrose, inverse ofX. Expressions for the densities of the generalized inverse of the central beta and F singular random matrices are proposed. Finally, two applications in the field of Bayesian inference are presented. This work was supported in part by the research project 39017E of CONACYT-México This article was written during the first author's stay as a Visiting Professor in the Department of Statistics at the University of Granada, Spain     

Tool wear and tool life in end milling of 15–5 PH stainless steel under different cooling and lubrication conditions

Most of the machining operations on stainless steel alloys are carried out with cutting fluid due to the poor machinability of this kind of material. Tool wear mechanisms are directly influenced by the cooling and lubrication condition to which the tool is exposed, especially in interrupted cutting processes. This work investigates tool wear mechanisms for an end milling operation of a precipitation-hardened martensitic stainless steel under four different cooling and lubrication conditions. The results demonstrated that the cooling and lubrication condition strongly influences tool life and the tool wear mechanism, and furthermore, that tool lubrication rather than cooling should be the purpose for using cutting fluid in this kind of operation, in order to avoid damage caused by tool temperature variations.     

Transmission expansion in Argentina 5: The regional electricity forum of Buenos Aires province

This paper supplements analyses of Argentine transmission expansions at the federal level by looking at experience in Buenos Aires province. A Regional Electricity Forum of distribution companies has drawn up and begun to implement a 10-year transmission expansion plan. Contrary to previous fears, getting agreement between the members on investment and cost sharing has not been unduly problematic. More challenging was getting approval of the provincial government on funding. Deferring tariff reductions and using the revenues for investment facilitated the process, and now some innovative financing arrangements are underway. Again contrary to some previous suggestions, the controversial Area of Influence method was extended rather than replaced. This overcame concerns about free-riding. Progress and investment have been severely curtailed by the economic crisis in 2001 and subsequent federal government policy. The arrangements nonetheless appear to be working well, and to be conducive to more efficient transmission expansion. This confirms that it is practicable and advantageous to allow users rather than the transmission company or the regulator to propose and determine transmission investment, even in a meshed rather than radial system. An appropriate regulatory framework is needed to approve that part of the total budget to paid by distribution business consumers, but this does not require the regulator to lead or monitor the detail of the process.