The upper critical magnetic field of holographic superconductor with conformally invariant power-Maxwell electrodynamics

The properties of $(d-1)$-dimensional $s$-wave holographic superconductor in the presence of power-Maxwell field is explored. We study the probe limit in which the scalar and gauge fields do not backreact on the background geometry. Our study is based on the matching of solutions on the boundary and on the horizon at some intermediate point. At first, the case without external magnetic field is considered, and the critical temperature is obtained in terms of the charge density, the dimensionality, and the power-Maxwell exponent. Then, a magnetic field is turned on in the $d$-dimensional bulk which can influence the $(d-1)$-dimensional holographic superconductor at the boundary. The phase behavior of the corresponding holographic superconductor is obtained by computing the upper critical magnetic field in the presence of power-Maxwell electrodynamics, characterized by the power exponent $q$. Interestingly, it is observed that in the presence of magnetic field, the physically acceptable phase behavior of the holographic superconductor is obtained for $q={d}/{4}$, which guaranties the conformal invariance of the power-Maxwell Lagrangian. The case of physical interest in five spacetime dimensions ($d=5$, and $q=5/4$) is considered in detail, and compared with the results obtained for the usual Maxwell electrodynamics $q=1$ in the same dimensions.Comment: 12 pages, 1 table, 5 figure

Quality of Life in Iranian Patients with Acne

Acne is a chronic inflammatory disease of pilosebaceous units. Although the acne isnot a life threatening disease, studies have revealed that it has significant effect on self-image and quality of life. The purpose of this paper was to investigate the health-related quality of life in patients with acne in an Iranian context. Dermatology Life Quality Index (DLQI) and Cardiff Acne Disability Index (CADI) were used for measuring quality of life, and severity of acne was measured by Global Acne Grading System (GAGS). The mean (±SD) of DLQI and CADI scores was 6.42 (±4.77) and 5.97 (±2.97), respectively. Acne influenced the quality of life in 51.8% of patients from moderate to very much, and the quality of life was affected by the severity of acne (P < 0.01). Since acne has significant effects on patient's quality of life, the management of patients with acne requires more attention to different aspects of quality of life

Dietary administration of vitamin C and Lactobacillus rhamnosus in combination enhanced the growth and innate immune response of the rainbow trout, Oncorhynchus mykiss

The effects of dietary vitamin C and Lactobacillus rhamnosus on immunity and growth performance were investigated in Oncorhynchus mykiss. For this purpose, 480 rainbow trout (68±5g) were obtained from a local farm and acclimated to laboratory conditions for 10 days and then divided into four groups in three replicates. During 30 days, juvenile rainbow trout were fed diets supplemented with vitamin C (1g/kg) and L. rhamnosus (at 5 × 107 CFU/g) or a control diet. Biometry was done at day -30 and blood samples were taken by caudal vein after fish anesthesia with clove powder at day 0, 15, 30 and 45. Serum lysozyme activity, alternative complement activity and total plasma immunoglobulin level were assayed as innate immune response of rainbow trout. Results showed fish fed with vitamin c and L. rhamnosus (group 3) statistically could improve fish growth performance. Also lysozyme activity and alternative complement activity of serum significantly were higher in group three than other groups, but total plasma level of immunoglobulin only was higher than all groups at day 30. In conclusion dietary administration of vitamin C and L. rhamnosus in rainbow trout diet could enhance the growth and innate immune response, but these properties need further studies on the field applications

Anomalous Transport and Nonlinear Reactions in Spiny Dendrites

We present a mesoscopic description of the anomalous transport and reactions of particles in spiny dendrites. As a starting point we use two-state Markovian model with the transition probabilities depending on residence time variable. The main assumption is that the longer a particle survives inside spine, the smaller becomes the transition probability from spine to dendrite. We extend a linear model presented in Fedotov [Phys. Rev. Lett. 101, 218102 (2008)10.1103/PhysRevLett.101.218102] and derive the nonlinear Master equations for the average densities of particles inside spines and parent dendrite by eliminating residence time variable. We show that the flux of particles between spines and parent dendrite is not local in time and space. In particular the average flux of particles from a population of spines through spines necks into parent dendrite depends on chemical reactions in spines. This memory effect means that one cannot separate the exchange flux of particles and the chemical reactions inside spines. This phenomenon does not exist in the Markovian case. The flux of particles from dendrite to spines is found to depend on the transport process inside dendrite. We show that if the particles inside a dendrite have constant velocity, the mean particle's position x (t) increases as tμ with μ<1 (anomalous advection). We derive a fractional advection-diffusion equation for the total density of particles. © 2010 The American Physical Society

Anomalous Transport and Nonlinear Reactions in Spiny Dendrites

We present a mesoscopic description of the anomalous transport and reactions of particles in spiny dendrites. As a starting point we use two-state Markovian model with the transition probabilities depending on residence time variable. The main assumption is that the longer a particle survives inside spine, the smaller becomes the transition probability from spine to dendrite. We extend a linear model presented in Fedotov [Phys. Rev. Lett. 101, 218102 (2008)10.1103/PhysRevLett.101.218102] and derive the nonlinear Master equations for the average densities of particles inside spines and parent dendrite by eliminating residence time variable. We show that the flux of particles between spines and parent dendrite is not local in time and space. In particular the average flux of particles from a population of spines through spines necks into parent dendrite depends on chemical reactions in spines. This memory effect means that one cannot separate the exchange flux of particles and the chemical reactions inside spines. This phenomenon does not exist in the Markovian case. The flux of particles from dendrite to spines is found to depend on the transport process inside dendrite. We show that if the particles inside a dendrite have constant velocity, the mean particle's position x (t) increases as tμ with μ<1 (anomalous advection). We derive a fractional advection-diffusion equation for the total density of particles. © 2010 The American Physical Society

Iterative prediction of chaotic time series using a recurrent neural network

Chaotic systems are known for their unpredictability due to their sensitive dependence on initial conditions. When only time series measurements from such systems are available, neural network based models are preferred due to their simplicity, availability, and robustness. However, the type of neutral network used should be capable of modeling the highly non-linear behavior and the multi-attractor nature of such systems. In this paper the authors use a special type of recurrent neural network called the ``Dynamic System Imitator (DSI)``, that has been proven to be capable of modeling very complex dynamic behaviors. The DSI is a fully recurrent neural network that is specially designed to model a wide variety of dynamic systems. The prediction method presented in this paper is based upon predicting one step ahead in the time series, and using that predicted value to iteratively predict the following steps. This method was applied to chaotic time series generated from the logistic, Henon, and the cubic equations, in addition to experimental pressure drop time series measured from a Fluidized Bed Reactor (FBR), which is known to exhibit chaotic behavior. The time behavior and state space attractor of the actual and network synthetic chaotic time series were analyzed and compared. The correlation dimension and the Kolmogorov entropy for both the original and network synthetic data were computed. They were found to resemble each other, confirming the success of the DSI based chaotic system modeling

Non-Markovian Persistent Random Walk Model for Intracellular Transport

Transport of vesicles and organelles inside cells consists of constant-speed bidirectional movement along cytoskeletal filaments interspersed by periods of idling. This transport shows many features of anomalous diffusion. In this paper, we develop a non-Markovian persistent random walk model for intracellular transport that incorporates the removal rate of organelles. The model consists of two active states with different speeds and one resting state. The organelle transitions between states with switching rates that depend on the residence time the organelle spends in each state. The mesoscopic master equations that describe the average densities of intracellular transport in each of the three states are the main results of the paper. We also derive ordinary differential equations for the dynamics for the first and second moments of the organelles’ position along the cell. Furthermore, we analyse models with power-law distributed random times, which reveal the prevalence of the Mittag-Leffler resting state and its contribution to subdiffusive and superdiffusive behaviour. Finally, we demonstrate a non-Markovian non-additivity effect when the switching rates and transport characteristics depend on the rate of organelles removal. The analytical calculations are in good agreement with numerical Monte Carlo simulations. Our results shed light on the dynamics of intracellular transport and emphasise the effects of rest times on the persistence of random walks in complex biological systems. © 2023 by the authors.075-02-2023-935; Engineering and Physical Sciences Research Council, EPSRC: EP/V008641/1N.K. and S.F. acknowledge financial support from EPSRC Grant No. EP/V008641/1. The research was partly supported by the Ural Mathematical Center, Project No. 075-02-2023-935 (AOI)

Investigation of the effect of educational program based on the health belief model on preventing behaviors exposure to polluted air among pregnant women

BACKGROUND AND OBJECTIVE: Air pollution creates a wide range of acute and chronic effects in pregnant mothers. This study was carried out to determine the effect of education using Health Belief Model on improving the prevention of exposure to polluted air in pregnant women. METHODS:This quasi-experimental study was carried out in two cross-sectional and interventional sections. In the cross-sectional study, 208 pregnant women were randomly selected and data were collected based on Health Belief Model questionnaire (sensitivity, severity, benefits, barriers, practice guidance and perceived self-efficacy, while calculating the scores of each section based on 100). In the intervention study, a total of 114 pregnant women (6 to 24 weeks) were selected by multistage sampling and randomly divided into two groups of case and control. The intervention was performed according to the Health Belief Model and the subjects were followed for three months and then the data were collected and analyzed. RESULTS: The variables of external action, sensitivity and barriers, predicted a total of 25% of behavioral changes. In the intervention study, the mean awareness score of mothers in the intervention group increased significantly from 43.18±15.50 before the intervention to 71.39±16.68 after the intervention and the mean performance score increased significantly form 73.14±11.29 to 84.75±8.54 (p<0.001). CONCLUSION: The results of this study showed that the implementation of training program based on Health Belief Model with emphasis on predictive behaviors can be effective in reducing exposure to air pollution in pregnant women