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The objective of this work is to investigate the effect of alkali content and temperature on the microstructure of lithium borate glasses, xLi 2 O · (1 − x)B 2 O 3 . We have applied the molecular dynamics technique with Ewald summation and periodic boundary conditions to a collection of ca. 256 particles confined within a primitive cubic cell and interacting through a BornMayer-Huggins type of potential augmented with three-body angular terms. The results of this study have been discussed in relation to experimental structural data obtained by NMR and infrared spectroscopies.

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Abstract:A recurrent neural network-based forecasting system for telecommunications call volume is proposed in this work. In particular, the forecaster is a Block-Diagonal Recurrent Neural Network with internal feedback. Model's performance is evaluated by use of real-world telecommunications data, where an extensive comparative analysis with a series of existing forecasters is conducted, including both traditional models as well as neural and fuzzy approaches.

The paper, proposes two new algorithms for the construction of a two-variable Newton-interpolation polynomial, for the special case where we have a rectangular basis with equidistant points. The complexity of the proposed algorithms is better than the ones given in [1] since it is based only on additions. One of the two algorithms is based on matrix multiplications and thus it is easily implemented in programming languages which supports such kind of operations.