Clustering, Chaos and Crisis in a Bailout Embedding Map

We study the dynamics of inertial particles in two dimensional incompressible flows. The particle dynamics is modelled by four dimensional dissipative bailout embedding maps of the base flow which is represented by 2-d area preserving maps. The phase diagram of the embedded map is rich and interesting both in the aerosol regime, where the density of the particle is larger than that of the base flow, as well as the bubble regime, where the particle density is less than that of the base flow. The embedding map shows three types of dynamic behaviour, periodic orbits, chaotic structures and mixed regions. Thus, the embedding map can target periodic orbits as well as chaotic structures in both the aerosol and bubble regimes at certain values of the dissipation parameter. The bifurcation diagram of the 4-d map is useful for the identification of regimes where such structures can be found. An attractor merging and widening crisis is seen for a special region for the aerosols. At the crisis, two period-10 attractors merge and widen simultaneously into a single chaotic attractor. Crisis induced intermittency is seen at some points in the phase diagram. The characteristic times before bursts at the crisis show power law behaviour as functions of the dissipation parameter. Although the bifurcation diagram for the bubbles looks similar to that of aerosols, no such crisis regime is seen for the bubbles. Our results can have implications for the dynamics of impurities in diverse application contexts.Comment: 16 pages, 9 figures, submitted for publicatio

Study on the Drying Characteristics of Green Gram, Cowpea and Soybean

The study reveals the drying characteristics of Green gram, Cowpea and Soybean when exposed to two different drying mechanisms namely convective (i.e., Tray Drying) and a innovative method (i.e., microwave drying). The objective of the study is to come out with a most appropriate drying technique which gives the product a better keeping quality. In this study the drying characteristics i.e the amount of moisture removed for every 10min is calculated at different temperatures for the respective samples. The sample was dried in tray dryer and microwave at two temperatures

The study of maternal and perinatal outcome in preeclampsia in tertiary care hospital

Background: Preeclampsia accounts for majority of causes for maternal and perinatal morbidity and mortality.Methods: All patients beyond 20 weeks with pre-eclampsia admitted to Gandhi Hospital during two-year study period were enrolled in the study. The  objective of this study was to analyze the type and rate of maternal and perinatal complications in preeclampsia. Women with preexisting renal disease, chronic hypertension, anemia, heart disease, epilepsy, thrombophilias, hemolytic disease, preexisting liver disease were excluded from the study. Obstetrics management was done as per existing protocol in the department. Magnesium sulphate  was the drug of choice to control convulsions. Blood pressure was controlled by either tablet alpha methyl dopa or nifedipine or both.Results: Preeclampsia cases accounted for 460 (4.9%) of total deliveries. Majority (86.52%) were unbooked cases between 20 -25 years of age (63.48%) and were primigravida (60.44%) belonging to low socioeconomic status (73.91%). Commonest maternal complication in present study was eclampsia (34.56%) Total maternal deaths accounted for 14. Most common cause for maternal mortality was eclampsia with HELLP (9,64.28%).  Total perinatal deaths  accounted for164 and most common cause  for perinatal death was prematurity (47,28.65%).Conclusions: Preeclampsia is major leading cause for poor maternal and fetal outcome. Regular antenatal checkup , early diagnosis  , early interventions , early referral to tertiary centers, optimum timing and mode of delivery and awareness among patients will reduce both maternal and perinatal morbidity and mortality

Quasi-Elastic Scattering in the Inclusive (3^3He, t) Reaction

The triton energy spectra of the charge-exchange $^{12}$C($^3$He,t) reaction at 2 GeV beam energy are analyzed in the quasi-elastic nucleon knock-out region. Considering that this region is mainly populated by the charge-exchange of a proton in $^3$He with a neutron in the target nucleus and the final proton going in the continuum, the cross-sections are written in the distorted-wave impulse approximation. The t-matrix for the elementary exchange process is constructed in the DWBA, using one pion- plus rho-exchange potential for the spin-isospin nucleon- nucleon potential. This t-matrix reproduces the experimental data on the elementary pn $\rightarrow$np process. The calculated cross-sections for the $^{12}$C($^3$He,t) reaction at $2^o$ to $7^o$ triton emission angle are compared with the corresponding experimental data, and are found in reasonable overall accord.Comment: 19 pages, latex, 11 postscript figures available at [email protected], submitted to Phy.Rev.

Sentiment Analysis on Social media network

Detecting changes in a data stream is very important area of research with several applications. In this project, we use a method for the detection and estimation of change. This strategy mainly dealing with distribution change when learning from data sequences which may vary with time. We use sliding window whose size, rather than being fixed a priori, is recomputed according to the rate of change determined from the data in the window itself. This delivers the user to guess a time-scale for change within the data stream. In this project we tend to use jio tweets in twitter as data stream. Reliance Jio network offers cost free services; the 100% satisfaction of its customer could be a doubtful one. Though the customers are availing Jio services, they spend some amount for using other networks. If Reliance Jio fails to give the full satisfaction to its customer, it is tough to sustain its image in the systematic nation. Hence the study is undertaken for the aim of analyzing the satisfaction level of the customer of Jio network. From Twitter, we gather tweets using Twitter API based on keywords #jio. This project can verify the sentiment orientation of the tweets and also detect the changes in tweeted words in terms of frequencies by applying ADWIN sliding window algorithm. Further we can visualize these results by plotting graphs and can understand how many people are positive and negative towards jio

Cognitive effects of cancer and its treatments at the intersection of aging: what do we know; what do we need to know?

There is a fairly consistent, albeit non-universal body of research documenting cognitive declines after cancer and its treatments. While few of these studies have included subjects aged 65 years and older, it is logical to expect that older patients are at risk of cognitive decline. Here, we use breast cancer as an exemplar disease for inquiry into the intersection of aging and cognitive effects of cancer and its therapies. There are a striking number of common underlying potential biological risks and pathways for the development of cancer, cancer-related cognitive declines, and aging processes, including the development of a frail phenotype. Candidate shared pathways include changes in hormonal milieu, inflammation, oxidative stress, DNA damage and compromised DNA repair, genetic susceptibility, decreased brain blood flow or disruption of the blood-brain barrier, direct neurotoxicity, decreased telomere length, and cell senescence. There also are similar structure and functional changes seen in brain imaging studies of cancer patients and those seen with "normal" aging and Alzheimer's disease. Disentangling the role of these overlapping processes is difficult since they require aged animal models and large samples of older human subjects. From what we do know, frailty and its low cognitive reserve seem to be a clinically useful marker of risk for cognitive decline after cancer and its treatments. This and other results from this review suggest the value of geriatric assessments to identify older patients at the highest risk of cognitive decline. Further research is needed to understand the interactions between aging, genetic predisposition, lifestyle factors, and frailty phenotypes to best identify the subgroups of older patients at greatest risk for decline and to develop behavioral and pharmacological interventions targeting this group. We recommend that basic science and population trials be developed specifically for older hosts with intermediate endpoints of relevance to this group, including cognitive function and trajectories of frailty. Clinicians and their older patients can advance the field by active encouragement of and participation in research designed to improve the care and outcomes of the growing population of older cancer patients

Mycobacterium tuberculosis Responds to Chloride and pH as Synergistic Cues to the Immune Status of its Host Cell

PubMed ID: 23592993This is an open-access article distributed under the terms of the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original author and source are credited

Isolation, culturing and larval rearing of adult Barnacles - a Universal biofouler from Visakhapatnam coast on Artificial Panel (WIC) System.

70-74The most dominant species that has successful settlement on the panel system was observed is Amphibalanusamphitrite. Adults were cultured in the laboratory for releasing nauplii and were reared under laboratory conditions and used in settlement assay. The results of this study indicated that the Barnacle Amphibalanusamphitriteis the most common biofouling organism present on all the three types of materials used in the experiment, in the coastal region of Visakhapatnam harbor

The Atacama Cosmology Telescope: Sunyaev-Zel'dovich Selected Galaxy Clusters at 148 GHz from Three Seasons of Data

[Abridged] We present a catalog of 68 galaxy clusters, of which 19 are new discoveries, detected via the Sunyaev-Zel'dovich effect (SZ) at 148 GHz in the Atacama Cosmology Telescope (ACT) survey of 504 square degrees on the celestial equator. A subsample of 48 clusters within the 270 square degree region overlapping SDSS Stripe 82 is estimated to be 90% complete for M_500c > 4.5e14 Msun and 0.15 < z < 0.8. While matched filters are used to detect the clusters, the sample is studied further through a "Profile Based Amplitude Analysis" using a single filter at a fixed \theta_500 = 5.9' angular scale. This new approach takes advantage of the "Universal Pressure Profile" (UPP) to fix the relationship between the cluster characteristic size (R_500) and the integrated Compton parameter (Y_500). The UPP scalings are found to be nearly identical to an adiabatic model, while a model incorporating non-thermal pressure better matches dynamical mass measurements and masses from the South Pole Telescope. A high signal to noise ratio subsample of 15 ACT clusters is used to obtain cosmological constraints. We first confirm that constraints from SZ data are limited by uncertainty in the scaling relation parameters rather than sample size or measurement uncertainty. We next add in seven clusters from the ACT Southern survey, including their dynamical mass measurements based on galaxy velocity dispersions. In combination with WMAP7 these data simultaneously constrain the scaling relation and cosmological parameters, yielding \sigma_8 = 0.829 \pm 0.024 and \Omega_m = 0.292 \pm 0.025. The results include marginalization over a 15% bias in dynamical mass relative to the true halo mass. In an extension to LCDM that incorporates non-zero neutrino mass density, we combine our data with WMAP7+BAO+Hubble constant measurements to constrain \Sigma m_\nu < 0.29 eV (95% C. L.).Comment: 32 pages, 21 figures To appear in J. Cosmology and Astroparticle Physic