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Identification of Periodicity Patterns and
Classification of Micro-Array Gene Expression
using Principal Component Analysis
by S. S. N. Perera.
Micro-array
time-course genome-wide data are typically HDLSS
(High Dimension Low Sample Size) that require
extensive mining and refining to extract useful
information. Gene expression profiles over time
could be seen as functional data and the
functional approach could provide powerful new
insights for this type of data. Successful data
reduction from a functional viewpoint is used in
an analysis of periodization for a micro-array
gene expression data. In this study, we identify
the periodicity patterns of the yeast genome
using an appropriate Fourier Transformation
followed by PCA (Principal Component Analysis).
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Performances assessment of the first
grid-connected photovoltaic micro power in
Africa: The PVGIS approach by
A. Barhdadi and
A. S. Zakey.
In this paper, we apply the PVGIS method for
estimating the performance of the first
grid-connected PV micro-power plant in Africa
and we present the preliminary results obtained
on this subject. PVGIS approach provides
analysis and assessment of in-site solar energy
resources and predicts with good accuracy the
potential of PV systems in term of electricity
production. We find that annual total power
generation of the micro-power is slightly higher
than that initially expected at the installation
stage and actually measured. The yearly
predicted and measured power production values
agree to about 2 \%. However, individual monthly
production can have larger discrepancy. The
present preliminary work will be developed very
shortly through the integration of new
components notably predictions from the
radiation scheme in the ICTP-regional climate
model (RegCM). The attenuation of the solar
radiation in the atmosphere will then be also
assessed and taken into consideration..
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Accelerated Quantum Bouncer by
J. Akram, K. Nasser and F. Saif.
Quantum Localization comes as a seemingly
paradoxical result in a model which is
classically described by the Standard Map. The
paradox disappears upon realizing that the
variables entering the Standard Map are not a
conjugate pair for the model. In order to
properly quantize the model one must resort to
correct conjugate variables, which lead to a
different map. .
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