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The size control of NPs during implantation and subsequent annealing is one of the challenging issues of this approach, since the resulting thermal, optical, magnetic, and superconducting properties of NPs are drastically dependent on their size [1 7].

In this section, we firstly explain a grid partition approach for real-time computation of facility influence and then we address two issues of this approach: ambiguous grid and grid size.

To this end, the main issues of this approach such as encoding, evaluation or transfer to reality are studied through the use of heterogeneous modular structures with distributed control.

Postoperative morbidity and mortality remain the major issues of this approach (Vauthey et al, 2006; Van Cutsem et al, 2009).

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Cost is the main issue of this approach, together with the need for interference coordination.

The central issue of this approach is to identify the local and instantaneous unused spectrum with some detection probability.

The main issue of this approach refers to the fact that only one route is considered for reservation.

Nonetheless, one main issue of this approach is how to effectively identify the homogeneous regions while alleviating the dependence of various noise levels.

A major issue of this approach is its huge computational complexity for large network size N, as the complexity grows exponentially as the number of communication nodes increases, along with the inherent high signaling load (backhaul traffic) between the communication nodes and a central processing unit.

Interestingly, memorization of musical pieces without referring to a notation is an important key issue of this approach which particularly puts emphasis on auditory features, namely discrimination and representation of pitch and timbre.

As a result of this approach, issues related to concurrency are not considered, except later in Section 2. For each experiment we executed multiple simulations, logging the values obtained in each individual simulation and computing the corresponding averages.

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