A randomized control study of yoga on anemic patients

40 Anemic individuals aged between 15-40 years randomly were taken as subjects. They were trained for Trikonasana and its variations, Sarvangasana, Surya namaskara, Yoga mudras for 90 days under supervision of professional yoga trainers. Assessments of various parameters like Pulse rate, B.P, Hb%, were done before the training and after the training of 30th, 60th and 90th day with and without treatment. After yoga with treatment increases Pulse rate and Hb%, while BP was shown normal

STAR: Steiner tree approximation in relationship-graphs

Large-scale graphs and networks are abundant in modern information systems: entity-relationship graphs over relational data or Web-extracted entities, biological networks, social online communities, knowledge bases, and many more. Often such data comes with expressive node and edge labels that allow an interpretation as a semantic graph, and edge weights that reflect the strengths of semantic relations between entities. Finding close relationships between a given set of two, three, or more entities is an important building block for many search, ranking, and analysis tasks. From an algorithmic point of view, this translates into computing the best Steiner trees between the given nodes, a classical NP-hard problem. In this paper, we present a new approximation algorithm, coined STAR, for relationship queries over large graphs that do not fit into memory. We prove that for n query entities, STAR yields an O(log(n))-approximation of the optimal Steiner tree, and show that in practical cases the results returned by STAR are qualitatively better than the results returned by a classical 2-approximation algorithm. We then describe an extension to our algorithm to return the top-k Steiner trees. Finally, we evaluate our algorithm over both main-memory as well as completely disk-resident graphs containing millions of nodes. Our experiments show that STAR outperforms the best state-of-the returns qualitatively better results

IN VITRO EVALUATION OF ANTICANCER POTENTIAL OF ERYTHRINA VARIEGATA L. ON BREAST CANCER CELL LINES

Objective: Species of Erythrina variegata L. is reported to be used in the treatment of cancer in traditional/folklore medicine which could be explored for their anticancer potential. We aimed to evaluate the anticancer activity of crude extracts of the leaves of E. variegata with two solvents; explore the mechanism of cytotoxicity with the effective extract and correlation with the phytochemicals in the extract.Methods: The extracts with Erythrina variegata L methanol (EVM) and chloroform (EVC) as solvents were screened for cytotoxicity by 3-(4,5-dimethylthiazol-2-yl)-2,5-diphenyltetrazolium assay on MDA-MB-231 and MCF-7 cell lines. The effective extract was further evaluated on MDA-MB-231 cells by nucleoprotein content estimation, and cell morphology was studied. High resolution liquid chromatography mass spectrometry (HRLCMS) of EVM was done to find the phytochemical composition.Results: Among the two extracts, EVM was effective at an inhibitory concentration (IC50) value of 92 μg/ml and 143 μg/ml on MCF-7 and MDA-MB-231 cells, respectively. At the IC50 value (143 μg/ml) the nucleoprotein content of the cells was 58.2%, and the apoptotic index was calculated to be 51.8%. EVM treated group showed significant morphological changes suggestive of apoptosis. HRLCMS revealed the presence of rutin, podocarpatriene, and cepharanthine which are known to be cytotoxic.Conclusion: This report is a contribution toward the validation of E. variegata as a potential source of anticancer agents

Disagreeable Privacy Policies: Mismatches between Meaning and Users’ Understanding

Privacy policies are verbose, difficult to understand, take too long to read, and may be the least-read items on most websites even as users express growing concerns about information collection practices. For all their faults, though, privacy policies remain the single most important source of information for users to attempt to learn how companies collect, use, and share data. Likewise, these policies form the basis for the self-regulatory notice and choice framework that is designed and promoted as a replacement for regulation. The underlying value and legitimacy of notice and choice depends, however, on the ability of users to understand privacy policies. This paper investigates the differences in interpretation among expert, knowledgeable, and typical users and explores whether those groups can understand the practices described in privacy policies at a level sufficient to support rational decision-making. The paper seeks to fill an important gap in the understanding of privacy policies through primary research on user interpretation and to inform the development of technologies combining natural language processing, machine learning and crowdsourcing for policy interpretation and summarization. For this research, we recruited a group of law and public policy graduate students at Fordham University, Carnegie Mellon University, and the University of Pittsburgh (“knowledgeable users”) and presented these law and policy researchers with a set of privacy policies from companies in the e-commerce and news & entertainment industries. We asked them nine basic questions about the policies’ statements regarding data collection, data use, and retention. We then presented the same set of policies to a group of privacy experts and to a group of non-expert users. The findings show areas of common understanding across all groups for certain data collection and deletion practices, but also demonstrate very important discrepancies in the interpretation of privacy policy language, particularly with respect to data sharing. The discordant interpretations arose both within groups and between the experts and the two other groups. The presence of these significant discrepancies has critical implications. First, the common understandings of some attributes of described data practices mean that semi-automated extraction of meaning from website privacy policies may be able to assist typical users and improve the effectiveness of notice by conveying the true meaning to users. However, the disagreements among experts and disagreement between experts and the other groups reflect that ambiguous wording in typical privacy policies undermines the ability of privacy policies to effectively convey notice of data practices to the general public. The results of this research will, consequently, have significant policy implications for the construction of the notice and choice framework and for the US reliance on this approach. The gap in interpretation indicates that privacy policies may be misleading the general public and that those policies could be considered legally unfair and deceptive. And, where websites are not effectively conveying privacy policies to consumers in a way that a “reasonable person” could, in fact, understand the policies, “notice and choice” fails as a framework. Such a failure has broad international implications since websites extend their reach beyond the United States

A simple method of estimating folic acid absorption (a modified faecal excretion method)

This article does not have an abstract

A Study on Impact of Clinical Pharmacist Interventions on Medication Adherence and Quality of Life in Rural Hypertensive Patients

Hypertension is the very common chronic disease in rural, urban and semi-urban areas of today's world, which needs continuous monitoring and treatment through out the life. Lack of education, lifestyle modification, and low level of understanding on disease management in rural people will influence directly on their quality of life (QOL). The objective of this study was to know the impact of clinical pharmacist interventions on medication adherence and QOL. It was a prospective, randomized and interventional study. Fifty-six patients were enrolled; only 52 patients completed the study. Interventional group patients received patient counselling, patient information leaflets (PILS), and frequent telephonic reminding. In the baseline, first and second follow-ups, medication adherence and QOL were assessed by using Morisky Medication Adherence Scale (MMAS) and Medication Adherence Report Scale (MARS) Questionnaires and SF-12v2 Quality of life Questionnaire in both the groups. The results showed that systolic blood pressure P value in the second follow-up was 0.086+ when compared to baseline follow-up P value 0.094. The diastolic blood pressure reading of the intervention group at the second follow-up was 77.73 ± 3.63 in mmHg when compared to the baseline, i.e. 86.62 ± 11.35 in mmHg. The MMAS and MARS scores P values were 0.007**, 1.000, <0.001**; 0.007, 0.014 and 0.000 at the baseline, first and second follow-ups, respectively. The QOL score P values of physical component scale and mental component scale showed highly significant. This study concluded/showed that the impact of clinical pharmacist provided patient counselling had a positive impact on medication adherence and QOL

A Prior Myocardial Infarction: How Does it Affect Management and Outcomes in Recurrent Acute Coronary Syndromes?

Background Despite improved secondary prevention efforts, acute coronary syndrome (ACS) recurrence among patients with prior history of coronary events remains high. The differences in presentation, management, and subsequent clinical outcomes in patients with and without a prior myocardial infarction (MI) and presenting with another episode of ACS remain unexplored. Methods A total of 3,624 consecutive patients admitted to the University of Michigan with ACS from January 1999 to June 2006 were studied retrospectively. In-hospital management, outcomes, and postdischarge outcomes such as death, stroke, and reinfarction in patients with and without a prior MI were compared. Results Patients with a prior MI were more likely to be older and have a higher incidence of diabetes mellitus, hypertension, hyperlipidemia, and peripheral vascular disease. In-hospital outcomes were not significantly different in the 2 groups, except for a higher incidence of cardiac arrest (4.3% versus 2.5%, p < 0.01) and cardiogenic shock (5.7% versus 3.9%, p = 0.01) among patients without a prior MI. However, at 6 mo postdischarge, the incidences of death (8.0% versus 4.5%, p < 0.0001) and recurrent MI (10.0% versus 5.1%, p < 0.0001) were significantly higher in patients with a prior history of MI compared with those without. Conclusion Patients with prior MI with recurrent ACS remain at a higher risk of major adverse events on follow-up. This may be partly explained by the patients not being on optimal medications at presentation, as well as disease progression. Increased efforts must be directed at prevention of recurrent ACS, as well as further risk stratification of these patients to improve their overall outcomes. Copyright © 2008 Wiley Periodicals, Inc.Peer Reviewedhttp://deepblue.lib.umich.edu/bitstream/2027.42/61452/1/20356_ftp.pd

INVESTIGATION OF ADAPTIVE BEAMFORMING ALGORITHMS FOR COGNITIVE RADIO ARCHITECTURE

ABSTRACT The present fixed spectrum assignment policy becomes a bottleneck for more efficient spectrum utilization, as majority of the already scarce spectrum goes under-utilized. The concept of Cognitive Radio has been receiving increasing attention as a solution to the aforementioned quandary, since it equips the capability to optimally adapt their operating parameters according to the interactions with the surrounding radio environment. In this paper, the feasibility of a smart antenna to this system is analyzed and the performance of the different beamforming algorithms is compared