2,656 research outputs found
Transmission of Information between Complex Networks: 1/f-Resonance
We study the transport of information between two complex networks with
similar properties. Both networks generate non-Poisson renewal fluctuations
with a power-law spectrum 1/f^(3-\mu), the case \mu= 2 corresponding to ideal
1/f-noise. We denote by \mu_S and \mu_P the power-law indexes of the network
"system" of interest S and the perturbing network P respectively. By adopting a
generalized fluctuation-dissipation theorem (FDT) we show that the ideal
condition of 1/f-noise for both networks corresponds to maximal information
transport. We prove that to make the network S respond when \mu_S < 2 we have
to set the condition \mu_P < 2. In the latter case, if \mu_P < \mu_S, the
system S inherits the relaxation properties of the perturbing network. In the
case where \mu_P > 2, no response and no information transmission occurs in the
long-time limit. We consider two possible generalizations of the
fluctuation-dissipation theorem and show that both lead to maximal information
transport in the condition of 1/f-noise.Comment: 14 pages, 2 figures. arXiv admin note: substantial text overlap with
arXiv:1007.291
2020-06-26/27/28 DAILY UNM GLOBAL HEALTH COVID-19 BRIEFING
Executive Summary:
NM Highlights: State fair cancelled. Phase 2 reopening stalls. Fewer New Mexicans staying home. ABQ July 4 celebration plan. NM case update. US Highlights: Family members infected following surprise birthday party. New cases spike in Texas due to early reopening of bars. International Highlights: 50% in Austria ski resort have antibodies. Economics, Workforce, Supply Chain, PPE: Why people do not wear masks. Mask filtration efficiencies compared. Masks worn incorrectly. Ultraviolet-based biophotonic technologies. Improved mask designs. Mask wearing controversy. Epidemiology Highlights: Contamination through air flow paths. Contamination of wastewater circulation. Healthcare Policy Recommendations: Moralizing COVID-19 mitigation practices contributes to social polarization. Misperception of exponential infection growth by Americans is common but can be corrected. Adjust quarantine plans for the findings that older patients might have a longer incubation period. Hazards of school reopening in European countries with high transmission rates. Practice Guidelines: Several Brazilian recommendations are published on managing lung cancer, performing laparoscopic surgery, and breastfeeding. Guidelines are provided and managing gynecological cancer. Testing: Test accessibility, frequency and speed of reporting matters more than sensitivity. Prolonged shedding of SARS-CoV-2. Sensitivity of nasopharyngeal and swabs testing. Testing algorithm for essential workers. Drugs, Vaccines, Therapies, Clinical Trials: dexamethasone trial preprint criticized, smallpox-based COVID-19 vaccine, 27 new clinical trials. Other Science: Pandemic sees increased alcohol consumption. Charlson Comorbidity Index predicts poor outcomes. CT features associated with severity. Immune-inflammatory tests associated with severity. Hepatic complications
L\'{e}vy scaling: the Diffusion Entropy Analysis applied to DNA sequences
We address the problem of the statistical analysis of a time series generated
by complex dynamics with a new method: the Diffusion Entropy Analysis (DEA)
(Fractals, {\bf 9}, 193 (2001)). This method is based on the evaluation of the
Shannon entropy of the diffusion process generated by the time series imagined
as a physical source of fluctuations, rather than on the measurement of the
variance of this diffusion process, as done with the traditional methods. We
compare the DEA to the traditional methods of scaling detection and we prove
that the DEA is the only method that always yields the correct scaling value,
if the scaling condition applies. Furthermore, DEA detects the real scaling of
a time series without requiring any form of de-trending. We show that the joint
use of DEA and variance method allows to assess whether a time series is
characterized by L\'{e}vy or Gauss statistics. We apply the DEA to the study of
DNA sequences, and we prove that their large-time scales are characterized by
L\'{e}vy statistics, regardless of whether they are coding or non-coding
sequences. We show that the DEA is a reliable technique and, at the same time,
we use it to confirm the validity of the dynamic approach to the DNA sequences,
proposed in earlier work.Comment: 24 pages, 9 figure
Detection of MicroRNA processing intermediates through RNA ligation approaches
MicroRNAs (miRNA) are small RNAs of 20–22 nt that regulate diverse biological pathways through the modulation of gene expression. miRNAs recognize target RNAs by base complementarity and guide them to degradation or translational arrest. They are transcribed as longer precursors with extensive secondary structures. In plants, these precursors are processed by a complex harboring DICER-LIKE1 (DCL1), which cuts on the precursor stem region to release the mature miRNA together with the miRNA*. In both plants and animals, the miRNA precursors contain spatial clues that determine the position of the miRNA along their sequences. DCL1 is assisted by several proteins, such as the double-stranded RNA binding protein, HYPONASTIC LEAVES1 (HYL1), and the zinc finger protein SERRATE (SE). The precise biogenesis of miRNAs is of utter importance since it determines the exact nucleotide sequence of the mature small RNAs and therefore the identity of the target genes. miRNA processing itself can be regulated and therefore can determine the final small RNA levels and activity. Here, we describe methods to analyze miRNA processing intermediates in plants. These approaches can be used in wild-type or mutant plants, as well as in plants grown under different conditions, allowing a molecular characterization of the miRNA biogenesis from the RNA precursor perspective.Fil: Moro, Belén. Consejo Nacional de Investigaciones Científicas y Técnicas. Centro Científico Tecnológico Conicet - Rosario. Instituto de Biología Molecular y Celular de Rosario. Universidad Nacional de Rosario. Facultad de Ciencias Bioquímicas y Farmacéuticas. Instituto de Biología Molecular y Celular de Rosario; Argentina. Universidad Nacional de Rosario. Facultad de Ciencias Bioquímicas y Farmacéuticas; ArgentinaFil: Rojas, Arantxa Maria Larisa. Consejo Nacional de Investigaciones Científicas y Técnicas. Centro Científico Tecnológico Conicet - Rosario. Instituto de Biología Molecular y Celular de Rosario. Universidad Nacional de Rosario. Facultad de Ciencias Bioquímicas y Farmacéuticas. Instituto de Biología Molecular y Celular de Rosario; ArgentinaFil: Palatnik, Javier Fernando. Consejo Nacional de Investigaciones Científicas y Técnicas. Centro Científico Tecnológico Conicet - Rosario. Instituto de Biología Molecular y Celular de Rosario. Universidad Nacional de Rosario. Facultad de Ciencias Bioquímicas y Farmacéuticas. Instituto de Biología Molecular y Celular de Rosario; Argentina. Universidad Nacional de Rosario. Centro de Estudios Interdisciplinarios; Argentin
Trajectory versus probability density entropy
We study the problem of entropy increase of the Bernoulli-shift map without
recourse to the concept of trajectory and we discuss whether, and under which
conditions if it does, the distribution density entropy coincides with the
Kolmogorov-Sinai entropy, namely, with the trajectory entropy.Comment: 24 page
Search for CP Violation in the Decay Z -> b (b bar) g
About three million hadronic decays of the Z collected by ALEPH in the years
1991-1994 are used to search for anomalous CP violation beyond the Standard
Model in the decay Z -> b \bar{b} g. The study is performed by analyzing
angular correlations between the two quarks and the gluon in three-jet events
and by measuring the differential two-jet rate. No signal of CP violation is
found. For the combinations of anomalous CP violating couplings, and , limits of \hat{h}_b < 0.59h^{\ast}_{b} < 3.02$ are given at 95\% CL.Comment: 8 pages, 1 postscript figure, uses here.sty, epsfig.st
Search for the glueball candidates f0(1500) and fJ(1710) in gamma gamma collisions
Data taken with the ALEPH detector at LEP1 have been used to search for gamma
gamma production of the glueball candidates f0(1500) and fJ(1710) via their
decay to pi+pi-. No signal is observed and upper limits to the product of gamma
gamma width and pi+pi- branching ratio of the f0(1500) and the fJ(1710) have
been measured to be Gamma_(gamma gamma -> f0(1500)). BR(f0(1500)->pi+pi-) <
0.31 keV and Gamma_(gamma gamma -> fJ(1710)). BR(fJ(1710)->pi+pi-) < 0.55 keV
at 95% confidence level.Comment: 10 pages, 3 figure
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