ABSTRACT The present material is the result of a sociologic research among 615 Romanians who emigrated in 5 devel-oped countries from Europe. The main objective was that to know the difficulties that they face on the territory of other countries and to find who helps them to solve these problems.

Consider the following two sentences: (1) I see a dark discoloration in the back of my hand. (2) I feel a jabbing pain in the back of my hand. They seem to have the same surface grammar, and thus prima facie invite the same kind of semantic treatment. Even though a reading of ‘see ’ in (1) where the verb is not treated as a success verb is not out of the question, it is not the ordinary and natural reading. Note that if I am hallucinating a dark discoloration in the back of my hand, then (1) is simply false. For (1) to be true, therefore, I have to stand in the seeing relation to a dark discoloration in the back of my hand, i.e., to a certain surface region in the back of my hand marked by a darker shade of the usual color of my skin, a certain region that can be seen by others possibly in the same way in which I see it. Also note that although the truth of (1) doesn’t require the possession of any concept by me expressed by the words making up the sentence, my uttering of (1) to make a report typically does — if we take such utterances as expressions of one’s thoughts. So my seeing would typically induce me to identify something in the back of my hand as a

We describe a method for reducing the complexity of temporal logic model checking in systems composed of many parallel processes. The goal is to check properties of the components of a system and then deduce global properties from these local properties. The main difficulty with this type

In this paper, we provide a systematic comparison of various evolutionary approaches to multiobjective optimization using six carefully chosen test functions. Each test function involves a particular feature that is known to cause difficulty in the evolutionary optimization process, mainly

developments are discussed, including some for dealing with missing data that are not MAR. Although not yet in the main-stream, these procedures may eventually extend the ML and MI methods that currently represent the state of the art. Why do missing data create such difficulty in sci-entific research? Because

high accuracy by calculating power estimates for designs only after layout or floorplanning are complete In addition to being available only late in the design process, such tools are often quite slow, which compounds the difficulty of running them for a large space of design possibilities.

Multi-objective evolutionary algorithms which use non-dominated sorting and sharing have been mainly criticized for their (i) -4 computational complexity (where is the number of objectives and is the population size), (ii) non-elitism approach, and (iii) the need for specifying a

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

Multi-objective evolutionary algorithms which use non-dominated sorting and sharing have been mainly criticized for their (i) O(MN computational complexity (where M is the number of objectives and N is the population size), (ii) non-elitism approach, and (iii) the need for specifying a sharing

associated with conventional locking techniques, including priority inversion, convoying, and difficulty of avoiding deadlock. This paper introduces transactional memory, a new multiprocessor architecture intended to make lock-free synchronization as efficient (and easy to use) as conventional techniques