I summarize the prospects for discovering and studying the properties of Higgs particles at future high–energy and high–luminosity e + e − linear colliders. I will focus on the Higgs particle of the Standard Model and the Higgs bosons predicted by Supersymmetric theories. Plenary talk given at the International Workshops on Linear Colliders (LCWS99)

Three fundamental production resources are produc-tively used in the agricultural production sector: land, la-bour and capital. To make their use effective, an additional, fourth economic resource is needed being designated as conducting business, or sometimes as management. Its role, however, is defined quite precisely; the factor is sup-posed to combine three fundamental production resourc-es to make them provide production or services, and satisfy the consumers ’ needs. A successful accomplish-ment of this task by managers in agricultural enterprises is the first pre-requisite of a successful business. The question of what is the success in business was answered by the authors Hisrich and Peters (1996) in the following words: “... business is a process of making something else that has a value by putting in required

ABSTRACT Two studies examined the role of goal imagery (i.e., the perception-like mental representation of the pursuit and attainment of a goal) in establishing congruence between individuals ’ implicit motives and their inclination to pursue explicit goals assigned to them. Study 1 found that after a goal-imagery exercise, implicit needs for power and affiliation predicted participants’ affective arousal and their commitment to a social-interaction goal furnished with power- and affiliation-related incentives. In Study 2, implicit power motivation predicted the level of performance participants achieved in pursuit of a competitive performance goal after a goal-imagery exercise. Without goal imagery, however, participants ’ motivation to pursue an explicit goal was independent of their implicit motive dispositions in both studies. Oliver C. Schultheiss was supported by a fellowship from the German National Scholarship Foundation during the conduct of this research. Preparation of this article was facilitated by a postdoctoral fellowship of the German Science Foundation (SCHU 1210/1-1) to the first author. This article is based on parts of the first author’s dissertation. We wish to thank Melli Kosmann and Harry Jankowsky for their help in data collection and Erin Lehman for valuable comments on earlier drafts of this article. Correspondence concerning this article should be addressed to Oliver C. Schultheiss,

that are interesting from a theoretical point of view. This document presents on overview of the material to be presented in a tutorial on data integration. The tutorial is focused on some of the theoretical issues that are relevant for data integration. Special attention will be devoted to the following aspects

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of emotions, behavioral disengagement, mental disengagement). Study 1 reports the development of scale items. Study 2 reports correlations between the various coping scales and sev-eral theoretically relevant personality measures in an effort to provide preliminary information about the inventory

This paper presents new algorithms for the maximum flow problem, the Hitchcock transportation problem, and the general minimum-cost flow problem. Upper bounds on ... the numbers of steps in these algorithms are derived, and are shown to compale favorably with upper bounds on the numbers of steps required by earlier algorithms. First, the paper states the maximum flow problem, gives the Ford-Fulkerson labeling method for its solution, and points out that an improper choice of flow augmenting paths can lead to severe computational difficulties. Then rules of choice that avoid these difficulties are given. We show that, if each flow augmentation is made along an augmenting path having a minimum number of arcs, then a maximum flow in an n-node network will be obtained after no more than ~(n a- n) augmentations; and then we show that if each flow change is chosen to produce a maximum increase in the flow value then, provided the capacities are integral, a maximum flow will be determined within at most 1 + logM/(M--1) if(t, S) augmentations, wheref*(t, s) is the value of the maximum flow and M is the maximum number of arcs across a cut. Next a new algorithm is given for the minimum-cost flow problem, in which all shortest-path computations are performed on networks with all weights nonnegative. In particular, this

Planning under uncertainty is a central problem in the study of automated sequential decision making, and has been addressed by researchers in many different fields, including AI planning, decision analysis, operations research, control theory and economics. While the assumptions and perspectives adopted in these areas often differ in substantial ways, many planning problems of interest to researchers in these fields can be modeled as Markov decision processes (MDPs) and analyzed using the techniques of decision theory. This paper presents an overview and synthesis of MDP-related methods, showing how they provide a unifying framework for modeling many classes of planning problems studied in AI. It also describes structural properties of MDPs that, when exhibited by particular classes of problems, can be exploited in the construction of optimal or approximately optimal policies or plans. Planning problems commonly possess structure in the reward and value functions used to de...

In this overview paper we motivate the need for and research issues arising from a new model of data processing. In this model, data does not take the form of persistent relations, but rather arrives in multiple, continuous, rapid, time-varying data streams. In addition to reviewing past work

The purpose of this paper is to provide a comprehensive presentation and interpretation of the Ensemble Kalman Filter (EnKF) and its numerical implementation. The EnKF has a large user group, and numerous publications have discussed applications and theoretical aspects of it. This paper reviews