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It is becoming increasingly accepted that various diseases have a capacity to alter the composition of plasma proteins. This alteration in protein composition may consequently change the targeting capacity of nanoparticles (NPs). In this study, the impact of a model targeting ligand's (i.e., Transferrin; Tf) concentration in human plasma on the targeting capacity of gold NPs (Au NPs), pre-conjugated with Tf, is investigated. Our findings demonstrate that the protein corona formation by both healthy and Tf depleted human plasma diminishes the targeting efficacy of Au NPs within human cancer cells despite a preservation of targeting ability by plasma with excess Tf (10-fold). Moreover, the plasma samples obtained from patients with various Tf levels (e.g., thalassemia major, sickle cell anemia, aplastic anemia, and iron deficiency anemia) have affected the accessibility of the targeting Tf in the corona layer and subsequently affected their targeting ability, which emphasizes the critical role of disease-specific protein corona on the efficacy of Au NPs. Ultimately, variations of protein concentration (e.g., due to disease occurrence and progress) in plasma affect its recruiting in corona formation, and in turn, affect the targeting and therapeutic efficacies of Au NPs.

We investigate the statistical anisotropy and Gaussianity of temperature fluctuations of Cosmic Microwave Background radiation (CMB) data from {\it Wilkinson Microwave Anisotropy Probe} survey, using the multifractal detrended fluctuation analysis, rescaled range and scaled windowed variance methods. The multifractal detrended fluctuation analysis shows that CMB fluctuations has a long range correlation function with a multifractal behavior. By comparing the shuffled and surrogate series of CMB data, we conclude that the multifractality nature of temperature fluctuation of CMB is mainly due to the long-range correlations and the map is consistent with a Gaussian distribution., Comment: 10 pages, 7 figures, V2: Added comments, references and major corrections

We investigate the statistical anisotropy and Gaussianity of temperature fluctuations of Cosmic Microwave Background radiation (CMB) data from {\it Wilkinson Microwave Anisotropy Probe} survey, using the multifractal detrended fluctuation analysis, rescaled range and scaled windowed variance methods. The multifractal detrended fluctuation analysis shows that CMB fluctuations has a long range correlation function with a multifractal behavior. By comparing the shuffled and surrogate series of CMB data, we conclude that the multifractality nature of temperature fluctuation of CMB is mainly due to the long-range correlations and the map is consistent with a Gaussian distribution., Comment: 10 pages, 7 figures, V2: Added comments, references and major corrections

We use multifractal detrended fluctuation analysis (MF-DFA), to See query 1 study sunspot number fluctuations. The result of the MF-DFA shows that there are three crossover timescales in the fluctuation function. We discuss how the existence of the crossover timescales is related to a sinusoidal trend. Using Fourier detrended fluctuation analysis, the sinusoidal trend is eliminated. The Hurst exponent of the time series without the sinusoidal trend is $0.12\pm 0.01$. Also we find that these fluctuations have multifractal nature. Comparing the MF-DFA results for the remaining data set to those for shuffled and surrogate series, we conclude that its multifractal nature is almost entirely due to long range correlations., Comment: 9 pages, 6 figures

We propose a novel inverse method that utilizes a set of data to construct a simple equation that governs the stochastic process for which the data have been measured, hence enabling us to reconstruct the stochastic process. As an example, we analyze the stochasticity in the beat-to-beat fluctuations in the heart rates of healthy subjects as well as those with congestive heart failure. The inverse method provides a novel technique for distinguishing the two classes of subjects in terms of a drift and a diffusion coefficients which behave completely differently for the two classes of subjects, hence potentially providing a novel diagnostic tool for distinguishing healthy subjects from those with congestive heart failure, even at the early stages of the disease development., Comment: 5 pages, two columns, 7 figs. to appear, The European Physical Journal B (2006)

We investigate the stochasticity in temperature fluctuations in the cosmic microwave background (CMB) radiation data from {\it Wilkinson Microwave Anisotropy Probe}. We show that the angular fluctuations of the temperature is a Markov process with a {\it Markov angular scale}, $\Theta_{\rm Markov}=1.01^{+0.09}_{-0.07}$. We characterize the complexity of the CMB fluctuations by means of a Fokker-Planck or Langevin equation and measure the associated Kramers-Moyal coefficients for the fluctuating temperature field $T(\hat n)$ and its increment, $\Delta T =T(\hat n_1) - T(\hat n_2)$. Through this method we show that temperature fluctuations in the CMB has fat tails compared to a Gaussian distribution., Comment: 10 pages, 8 figures Accepted in J. Stat. Mech

We investigate the stochasticity in temperature fluctuations in the cosmic microwave background (CMB) radiation data from {\it Wilkinson Microwave Anisotropy Probe}. We show that the angular fluctuations of the temperature is a Markov process with a {\it Markov angular scale}, $\Theta_{\rm Markov}=1.01^{+0.09}_{-0.07}$. We characterize the complexity of the CMB fluctuations by means of a Fokker-Planck or Langevin equation and measure the associated Kramers-Moyal coefficients for the fluctuating temperature field $T(\hat n)$ and its increment, $\Delta T =T(\hat n_1) - T(\hat n_2)$. Through this method we show that temperature fluctuations in the CMB has fat tails compared to a Gaussian distribution., Comment: 10 pages, 8 figures Accepted in J. Stat. Mech

We investigate Markov property of rough surfaces. Using stochastic analysis we characterize the complexity of the surface roughness by means of a Fokker-Planck or Langevin equation. The obtained Langevin equation enables us to regenerate surfaces with similar statistical properties compared with the observed morphology by atomic force microscopy., Comment: 4 pages, 7 figures

We investigate the stochasticity in temperature fluctuations in the cosmic microwave background (CMB) radiation data from {\it Wilkinson Microwave Anisotropy Probe}. We show that the angular fluctuations of the temperature is a Markov process with a {\it Markov angular scale}, $\Theta_{\rm Markov}=1.01^{+0.09}_{-0.07}$. We characterize the complexity of the CMB fluctuations by means of a Fokker-Planck or Langevin equation and measure the associated Kramers-Moyal coefficients for the fluctuating temperature field $T(\hat n)$ and its increment, $\Delta T =T(\hat n_1) - T(\hat n_2)$. Through this method we show that temperature fluctuations in the CMB has fat tails compared to a Gaussian distribution., Comment: 10 pages, 8 figures Accepted in J. Stat. Mech

The Mn mineralisation is mainly massive and in vein form. The presence of hot springs and their traces in the area indicates that Fe and Mn components participated in the hot springs and were hydrothermally precipitated on the surface or penetrated into existing fractures and faults in the region's rocks, resulting in the formation of the mineralisation. The main minerals are pyrolusite and psylomelane, together with gypsum, travertine, barite and jasper. In most cases the Mn mineralisation is accompanied by Fe mineralisation., The Mn mineralisation is mainly massive and in vein form. The presence of hot springs and their traces in the area indicates that Fe and Mn components participated in the hot springs and were hydrothermally precipitated on the surface or penetrated into existing fractures and faults in the region's rocks, resulting in the formation of the mineralisation. The main minerals are pyrolusite and psylomelane, together with gypsum, travertine, barite and jasper. In most cases the Mn mineralisation is accompanied by Fe mineralisation.