Tube dependency is recognized as an unintended result of longterm tube feeding in infants and young children. The condition involves disturbing side effects such as vomiting, gagging, and active food refusal. It prevents infants from making the transition from tube to oral feeding and from starting to learn to eat in the absence of any medical indication for continuation of enteral feeding. Tube dependency can have a destructive impact on the child's development, even in cases when the nutritional influence might be beneficial. The authors set up recommendations for the prevention of tube dependency and suggest guidelines for weaning tube-dependent children based on the results of the Graz program and satellite programs using a similar model. A sample of 221 tubedependent patients aged 4 months to 15 years of age provided the clinical study group on which this article is based. Begun in 1987, a comprehensive tubeweaning program was developed on the basis of clinical experience and encounters with more than 430 tube-dependent children in 20 years, resulting in a success rate of 78/81 (96% for 2007) and 79/84 (94% for 2008). Placement must be preceded by clear criteria and a decision as to the indicated nutritional goal and time of use. The placement of a temporary tube must generate a plan covering maintenance issues, including time, method, and team for weaning. Aspects of tube feeding that go beyond purely medical and nutritional issues need to be considered to minimize the frequency and severity of unintended tube dependency in early childhood.

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In this paper, we show that quantum states and operators are well-adapted to describe a cellular automaton (CA) process. Using quantum mechanical terminology, we reveal a fundamental collapse that is naturally embedded in the CA evolution. We further suggest that our formalism can be useful in the field of artificial intelligence.

We introduce a new approach in dealing with pattern recognition issue. Recognizing a pattern is definitely not the exploration of a new discovery but rather the search for already known patterns. In reading for example the same text written in a hand writing, letters can appear in different shapes. Still, the text decoding corresponds with interpreting the large variety of hand writings shapes with fonts. Quantum mechanics also offer a kind of interpretation tool. Although, with the superposition principle it is possible to compose an infinite number of states, yet, an observer by conducting a measurement reduces the number of observed states into the predetermined basis states. Not only that any state collapses into one of the basis states, quantum mechanics also possesses a kind of correction mechanism in a sense that if the measured state is "close enough" to one of the basis states, it will collapse with high probability into this predetermined state. Thus, we can consider the collapse mechanism as a reliable way for the observer to interpret reality into his frame of concepts. Both interpretation ideas, pattern recognition and quantum measurement are integrated in this paper to formulate a quantum pattern recognition measuring procedure.