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The need to assess the perceptions of tomorrow's managers remains critical to forecasting social changes in the management environment. This study examines the views of upper division business students at three diverse American institutions. Findings suggest that: (1) women and men both advocate more participation in decision making, (2) women and men both recognize the seriousness of sexual harassment in the workplace, (3) minority students demonstrate the greatest interest in entrepreneurial careers, and (4) support for drug testing is relatively strong except for suspicions about those doing the testing.

The moral hazard problem which obstructs external equity financing of farm businesses is studied using the principal‐agent framework. We assume that the supplier of external equity capital (the principal) cannot directly observe the farmer’s (agent’s) effort, but can observe the random outcome of the effort. We solve for the optimal farm income‐sharing rule that includes an extra share to the agent. The extra share is dependent on the random outcome and is provided to induce optimal effort from the agent. Results show a farmer’s effort is inversely related to the level of risk aversion and the riskiness of the project. Thus, an investor must share more income when a farmer is more risk averse or a project is more risky.

Extensive human and animal research has examined approach and withdrawal motivation, which we define as the simple urge to move toward or away, respectively. In this chapter, we review seminal and recent research that showing that asymmetrical frontal cortical activity underlies approach and withdrawal motivation that occur during childhood, that characterize certain psychopathologies, and are present in everyday emotional experiences. Specifically, greater left-frontal activity is involved in approach motivation, including the expression and experience of anger, jealousy, desire, and joy. Conversely, greater right-frontal activity is involved in withdrawal motivation, including the expression and experience of some forms of sadness, crying, and depressed mood. We also review recent research suggesting that connectivity between the frontal and parietal cortices is a potential mechanism for the motivation-related effects of asymmetrical frontal activity.

The management of uncertainty has received much attention recently in the fields of database and artificial intelligence. Several methods of evidential reasoning have been proposed for real‐world problems with which uncertainty is associated. Considers one of these problems, that of classification, which is encountered in many domains including medicine. Focuses on a classification technique for knowledge discovery (KD). Reasoning about classifications is a primary interest in KD. Deals with obtaining evidence to confirm or refute classes. Searches for any data dependencies which exist between a classifier attribute and any of the property attributes. To illustrate the method compares a neural network classification with one based on Tanimoto’s method. It is important to note that the aim is to demonstrate this approach rather than to compare these two methods of classification. After extracting the data dependency information, employs a non‐numeric evidential reasoning method to see how well this evidence supports each of the two respective classifications.

The management of uncertainty has received much attention recently in the fields of database and artificial intelligence. Several methods of evidential reasoning have been proposed for real‐world problems with which uncertainty is associated. One of these problems is that of classification and it is encountered in many domains including medicine, which is considered here. Focuses on a classification technique for knowledge discovery (KD). Reasoning about classifications is a primary interest in KD. Obtains evidence to confirm or refute classes by searching for any data dependencies which exist between a classifier attribute and any of the property attributes. To illustrate the method, compares a neural network classification with one based on Tanimoto’s method. The aim was to demonstrate the approach rather than to compare the two methods of classification. After extracting the data dependency information, employs a non‐numeric evidential reasoning method to see how well this evidence supports each of the two respective classifications.

Gives a bibliographical review of the finite element methods (FEMs) applied for the linear and nonlinear, static and dynamic analyses of basic structural elements from the theoretical as well as practical points of view. The range of applications of FEMs in this area is wide and cannot be presented in a single paper; therefore aims to give the reader an encyclopaedic view on the subject. The bibliography at the end of the paper contains 2,025 references to papers, conference proceedings and theses/dissertations dealing with the analysis of beams, columns, rods, bars, cables, discs, blades, shafts, membranes, plates and shells that were published in 1992‐1995.

The purpose of this paper is to investigate the performance of a specific class of high‐resolution central schemes in conjunction with the black oil models for hydrocarbon reservoir simulation.

A generalized black oil model is adopted, in which the solubility of gas in both oil and water and evaporation of oil are considered, leading to a system of equations prone to degeneracy. A computer code is generated and three test cases are solved to evaluate the performance of various schemes in terms of accuracy and discontinuity handling.

It is shown that, although some of the central schemes are highly sensitive to the choice of Courant‐Friedrich‐Levy (CFL) number and produce overly diffusive results, a certain type of this class is insensitive to the CFL number and can conveniently handle degenerate equations appearing in the reservoir simulation. The obtained results are compared with those available in the literature, showing merits of this class of schemes in complex reservoir simulation models.

This paper gives the one‐dimensional implementation of the above‐mentioned schemes. Extension to higher dimensional black oil model is currently under development by the authors.

The specific class of high‐resolution central schemes investigated here presents the same level of accuracy as more complicated numerical methods, yet keeping it much more simple, by avoiding Riemann solvers.

The high‐resolution central scheme used in this work has been newly developed and applied to simple scalar hyperbolic equations. It has been adopted for the black oil for the first time.