141 research outputs found
Ayurveda: The Conventional Indian Medicine System and its Global practice
The word "Ayurveda" meaning knowledge of life and longevity.
Rather than frequent usage of Medicines in common disorders, Ayurvdic medicines are as good as food which serve role of the nutritional needs. Because of the changing in life style and carelessness towards sickness with respect to time as well as money, people are growing modernization some traditional ways. Now a days, There has been increased global interest in traditional medicine.
In this dissertation, attempted to brief history along with worldwide concepts of Ayurveda and availability of Ayurvedic medicines which play roles in medical emergency, surgical emergency and traditional one as nutrition supplement. Moreover, WHO contribution in global acceptance of Ayurveda reflected in this paper reveals worldwide usage of Ayurveda medicines.
Opportunity and challenges with global perspective of Ayurvedic medicine and gold time for modernization presented in this concept paper gives idea about market value for herbal medicines
A Visual Analytic Environment to Co-locate Peoples' Tweets with City Factual Data
Social Media platforms (e.g., Twitter, Facebook, etc.) are used heavily by
public to provide news, opinions, and reactions towards events or topics.
Integrating such data with the event or topic factual data could provide a more
comprehensive understanding of the underlying event or topic. Targeting this,
we present our visual analytics tool, called VC-FaT, that integrates peoples'
tweet data regarding crimes in San Francisco city with the city factual crime
data. VC-FaT provides a number of interactive visualizations using both data
sources for better understanding and exploration of crime activities happened
in the city during a period of five years.Comment: 2 page
Influencing the Influencers: Analyzing Impact of Prior Review Sentiments on Product Reviews
Extant research has widely studied the impact of online product review on sales and most studies have found a significant impact of these reviews as an e-WOM tool. Given the importance of the online reviews, we study a hitherto understudied area of antecedents of sentiments in user reviews. We assess the impact of contagion effect of past review sentiments on reviewers\u27 choice to write a review. We analyze the impact of emotional response of users while writing product reviews triggered by the appraisal response to prior online reviews. A short selection of reviews, which most e-commerce websites show, along with the numerical product rating (if any) could strongly bias the sentiments in a review being written under their influence. Through a mix of experimental methods and text analysis of online reviews, we find that review writers tend to veer towards extreme reviews in absence of any benchmark or prior review
PHARMA SCIENCE MONITOR AN INTERNATIONAL JOURNAL OF PHARMACEUTICAL SCIENCES DEVELOPMENT AND OPTIMIZATION OF AN ECONOMIC METHOD FOR QUANTITATION OF AZITHROMYCIN IN HUMAN PLASMA BY TANDEM MASS SPECTROSCOPY (LCMS/MS) FOR CLINICAL TRIALS
ABSTRACT The present study deals with development and optimization of an economic method for quantitation of Azithromycin in human plasma by Tandem Mass Spectroscopy (LCMS/MS) for Clinical studies. Enalapril (stable and economic) was used as an internal standard. Azithromycin was extracted from plasma using an Oasis HLB solid-phase extraction cartridge (Waters Corporation, USA). The elution was carried out with degassed 0.1% formic acid buffer in methanol (5:95, v/v, economic as compare to commonly used acetonitrile). After elution the elute was evaporated to dryness in nitrogen, and was reconstituted in 100 µl mobile phase (same as elution buffer) and 10 µl of the sample was injected into an HPLC system containing Chromolith RP C18, 100*4.6 mm column connected to LCMS/MS system. The lower limit of quantitation (LLOQ) was 0.95ng/ml, without interfering peaks. The calibration curve was linear (R=0.9979) over a concentration range 0.95ng/ml to 951.63 ng/ml. Retention time for Azithromycin and its internal standard was 1.26 minutes and 1.45 minutes. The accuracy (85%-115%) and precision (CV ≤ 15%) were acceptable. The mean recoveries for Azithromycin at 3, 425 and 875 ng/ml were: 75.44±2.86%, 79.23±4.475% and 74.84±2.86% (n=6), respectively. Azithromycin was stable in plasma for at least 6 hours at room temperature and for at least four freeze and thaw cycles (% change = 3.73 at LOQ and 4.46 at ULQ). It was observed that the method is selective for Azithromycin as no peak interference was observed from plasma matrix while blank plasma or plasma with the drugs was run at RT of internal standard and analyte. The developed method has adequate sensitivity, specificity, accuracy and precision to measure Azithromycin in human plasma and, it can be considered as a cost effective, fast and with the acceptable range of recovery (80% -90%) for BE studies/clinical trials
EVALUATION OF ANTIDEPRESSANT ACTIVITY OF HERBOMINERAL FORMULATION
Objective: In the search for new therapeutic products for the treatment of neurological disorders, medicinal plant research, worldwide, has constantly progressed, demonstrating the pharmacological effectiveness of different plant species in a variety of animal models. SOBEREX CAPSULE (SC) is a herbomineral formulation used by ayurvedic practitioners for treatment of depression. The present study was designed to generate scientific evidence for SC in animal models of depression in mice.Methods: The formulation was administered orally to the mice at a dose of 50 mg/kg for 14 d, and at the end of treatment animals were subjected to tail suspension test and the forced swimming test in mice.Results: The effect of SC at the dose of 50 mg/kg was comparable to that of reference antidepressant fluoxetine. The formulation and fluoxetine, at the doses tested, produced no significant effects on locomotor activity. These results demonstrated that SC had antidepressant effects without side effect.Conclusion: Thus, SC possesses antidepressant-like effects in mice, providing further support for the traditional use of the formulation against central nervous disorders.Keywords: Antidepressant, Herbomineral formulation, Forced swim test, Tail suspension tes
An analytical study of 50 women presenting with an adnexal mass
Background: The aim of this study was to detect and determine the origin of adnexal mass and to narrow down the diagnosis. Also, to determine the reliability of the bimanual pelvic examination in diagnosing adnexal mass and to determine clinical, radiological and histopathological co-relation of adnexal mass. Adnexal mass lesions are fairly common among women (with a prevalence of 0.17% to 5.9% in asymptomatic women and 7.1% to 12% in symptomatic women) of all age group but very common among reproductive age. Differential diagnosis of adnexal mass is difficult and complex. Recognition of the severity of the problem, appropriate and timely evaluation and treatment with good outcome is the goal.Methods: Prospective, observational study of 50 patients with suspected various adnexal masses were conducted for a period of 1.5yr i.e. from November 2014 to May 2016. All patients underwent pelvic and ultrasonography examination. All patients later underwent surgery. Results were correlated later.Results: The patient ages ranged from 19 to 58 with a mean age of 31.5. Most common site of origin of adnexal masses is the Ovary (Rt. 38% and Lt. 34%) Most common adnexal masses on histopathological diagnosis are mucinous cyst adenoma (20%), Benign and mature cystic teratoma (16% and 6%) and serous cyst adenoma (10%). About 92% patients with adnexal mass presents with abdominal pain as a chief complaint.Conclusions: Although bimanual palpation of the adnexal masses may not allow a very specific diagnosis, clinically useful information can usually be obtained and hence it is particularly useful as a first step in assessment of adnexal masses and as an adjunct to morphological assessment of ovarian lesions. Ultrasonography is an important noninvasive investigation and is helpful in diagnosing most of these cases, but the histopathological examination of specimen obtained from laparotomy of adnexal mass is the gold standard for confirming the diagnosis
Evaluation of anti-inflammatory potential of ayurvedic formulation Rheumacure in animal model of rheumatoid arthritis
Background: Rheumacure (RC) is a herbomineral preparation recommended by Ayurvedic medical practitioners for treatment of rheumatoid arthritis. The present study was designed to evaluate the effect of oral treatment with the herbomineral formulation in animal model of Freund's adjuvant induced arthritis to develop scientific evidence to the efficacious claim of the use of ayurvedic proprietary medicine in the management of rheumatoid arthritis in folklore medicine.Methods: Arthritis was induced by sub plantar injection of 0.1ml of complete Freund’s adjuvant. Treatment with RC 100 mg/kg and dexamethasone 2 mg/kg was given to rats orally once a day from day 1 to day 21 and after which estimation of physical, biochemical, and haematological parameters were carried out.Results: Treatment of RC to arthritic animal showed statistically significant (p<0.05) improvement in physical parameters like arthritic index, paw edema, paw thickness, splenomegaly and thymus index of the animal. The treatment also showed significantly (p <0.05) reduction in inflammatory markers like C-reactive protein, serum rheumatoid factor, erythrocyte sedimentation rate and increase in % haemoglobin. The histopathological examination showed protective effect against hyperplasia of synovium, pannus formation and destruction of the joint space.Conclusions: The results obtained in experiments indicated significant anti-inflammatory effect comparable to dexamethasone and without significant side effect. Thus the RC may be a potential preventive or therapeutic candidate for the treatment of chronic inflammation and arthritis
A survey on Data Extraction and Data Duplication Detection
Text mining, also known as Intelligent Text Analysis is an important research area. It is very difficult to focus on the most appropriate information due to the high dimensionality of data. Feature Extraction is one of the important techniques in data reduction to discover the most important features. Processing massive amount of data stored in a unstructured form is a challenging task. Several pre-processing methods and algorithms are needed to extract useful features from huge amount of data. Dealing with collection of text documents, it is also very important to filter out duplicate data. Once duplicates are deleted, it is recommended to replace the removed duplicates. This Paper review the literature on duplicate detection and data fusion (remov e and replace duplicates).The survey provides existing text mining techniques to extract relevant features, detect duplicates and to replace the duplicate data to get fine grained knowledge to the user
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