10,341 research outputs found
Cerebral malaria admissions in Papua New Guinea may show inter-annual cyclicity: An example of about a 1.5-year cycle for malaria incidence in Burundi
Best available descriptions of malaria incidence and mortality dynamics are important to better plan and evaluate the implementation of programs to monitor (e.g., remote sensing) and control the disease, especially in endemic zones. This was stressed recently by Cibulskis et al (2007) in the view of completeness of monthly reporting for cerebral malaria admissions in Papua New Guinea (latitude 6 degree S, 1987-1996). Notably, regardless of the rate of its completeness, the temporal dynamics of admissions was preserved over the years, however, neither raw data nor results on further analyses about eventual inter-annual cyclic components (periods T>1 year) were provided despite obvious graphical patterns for such a specific time structure (chronome). Interestingly, in a recent analysis by Gomez-Elipe et al (2007) on monthly malaria notifications in Burundi, at almost the same latitude (province of Karuzi, >3 degree S, 1997-2001), the data have shown neither trend not periodic oscillations beyond a 6-month (0.5-year) period. Since the graphical representation of both data sets have indicated an eventual existence of inter-annual variations, and because both are located at the same latitude zone, we have further analyzed the data from Burundi for such periodic oscillations. By using a periodogram regression analysis, we discovered a multicomponent cyclic chronome with periods above 12 months (T=17.5-18.0, 27.5 and 65.0-65.5 months, all at p<0.05). Notably, the most strong cyclic pattern at p<0.002 in the periodogram of the detrended malaria rates in Burundi remained only that with a peak at about 1.5 years (period T=17.5-18.0 months, R=0.51, z=5.3). It is possible that likely inter-annual cyclic patterns might exist also in the time structure for cerebral malaria admissions in Papua New Guinea and, if confirmed, these may be found very useful in epidemic forecasting and programs implementation. We explored these cyclic variations and also discussed possible associations with environmental factors exhibiting alike cyclicity
Thermal Breakage and Self-Healing of a Polymer Chain under Tensile Stress
We consider the thermal breakage of a tethered polymer chain of discrete
segments coupled by Morse potentials under constant tensile stress. The chain
dynamics at the onset of fracture is studied analytically by Kramers-Langer
multidimensional theory and by extensive Molecular Dynamics simulations in 1D-
and 3D-space. Comparison with simulation data in one- and three dimensions
demonstrates that the Kramers-Langer theory provides good qualitative
description of the process of bond-scission as caused by a {\em collective}
unstable mode. We derive distributions of the probability for scission over the
successive bonds along the chain which reveal the influence of chain ends on
rupture in good agreement with theory. The breakage time distribution of an
individual bond is found to follow an exponential law as predicted by theory.
Special attention is focused on the recombination (self-healing) of broken
bonds. Theoretically derived expressions for the recombination time and
distance distributions comply with MD observations and indicate that the energy
barrier position crossing is not a good criterion for true rupture. It is shown
that the fraction of self-healing bonds increases with rising temperature and
friction.Comment: 25 pages, 13 picture
Ind--varieties of generalized flags as homogeneous spaces for classical ind--groups
The purpose of the present paper is twofold: to introduce the notion of a
generalized flag in an infinite dimensional vector space (extending the
notion of a flag of subspaces in a vector space), and to give a geometric
realization of homogeneous spaces of the ind--groups ,
and in terms of generalized flags. Generalized flags in are
chains of subspaces which in general cannot be enumerated by integers. Given a
basis of , we define a notion of --commensurability for generalized
flags, and prove that the set \cFl (\cF, E) of generalized flags
E\cFVVG = SL(\infty)G/PPG\cFl (\cF, E)SO(\infty)Sp(\infty)\cFl (\cF, E)\cFl
(\cF, E)\cFV$
- β¦