Ashvabala (Medicago sativa Linn.) Nari Aushadhi - A Review

Ashvabala is Rasayana drug mentioned in Ayurveda. It has synonyms like Vanamethika, Hisphitha and Ghodghas but best word mentioned in Charaka Samhita is Nari Aushadhi i.e. Good for Female’s problems. Ashvabala Rasayana is not only the rejuvenation medicine, but also versatile tonic for female reproductive systems. Inspite of Rasayana, Ashvabala is beneficial in female’s reproductive system starting from menarche to menopause. It is useful in female infertility, maintain sex organ health, enhance folliculogenesis and ovulation, prepare womb for conception, balance hormones, fetal growth, post-partum as galactagogic and also useful in menopausal symptoms. Like Shatavari and Ashvagandha, Ashvabala is also good Nari Rasayana - A Versatile Female Tonic

Stock Value Prediction System

The use of artificial neural network is gaining popularity in the research field. Neural network consist of interconnected neurons which deciphers value by using input data by feeding network values. The main aim of our project is to use backpropagation process to predict the future value.Stock market prediction models are the most challenging fields in computer science. The aim of this project is implementation of neural networks with back propagation algorithm for stock value prediction .A neural network is a powerful data-modeling tool that is able to capture and represent complex input/output relationships. We apply Data mining technology to the stock in order to research the trend of the market. Our proposed system provides methods to develop machine learning stock market predictor based on Neural Networks using Back propagationalgorithm, with intent of improving the accuracy. In this paper we have used data mining process along with artificial neural network networking to predict the future value of the stock. This paper overcomes the all traditional statistical methods of the stock market value prediction. DOI: 10.17762/ijritcc2321-8169.16049

Addressing the public health challenge of birth defects in India

Birth defects consisted of a group of diverse clinical conditions categorized on the basis of a congenital presentation and a partly orwholly genetic etiology. Although individually rare, birth defects affect 2-3% of all births in India. As India has the largest global annualbirths, in absolute numbers, India may harbor the largest number of affected children worldwide. There is a need of strategic researchand interventions to bring down the rate of birth defects and associated economic burden and also a need to actively screen and identifythem at early stage so necessary intervention (medical or surgical) could be initiated so as to reduce lifelong disability as a result ofsuch defects. The recent child health screening and early intervention service initiative by the Government of India, the Rashtriya BalSwasthya Karyakram under the National Health Mission is the first attempt in the direction toward providing services for some ofthe more prevalent birth defects and has the potential to alleviate suffering of affected children especially from rural areas. The datacollected from this program could help policy makers to allocate sufficient funds aimed at treatment of birth defects and also developbehavior change communication strategies for prevention of the same

A Review on Grid Integration Challenges of Wind Energy Systems

In recent decades, the strengthening of electric energy security and the reduction of greenhouse gas emissions acquired great traction. The integration of large-scale intermittent renewable energy resources (RER) such as wind energy into existing electrical systems has risen dramatically in recent years. In the last few years, however, this integration creates several operational and control issues that impede the process. Grid functioning must be reliable and stable. This article will look at the problems that have been documented as a result of the recommended solutions techniques and the integration of wind energy Among the many difficulties, Generation uncertainty, power quality difficulties, angular and voltage stability, and reactive power support are all factors to consider. The ability to ride through faults is examined and explored. Aside from that, there are financial, environmental, and political factors to consider

Function approximation using back propagation algorithm in artificial neural networks

Inspired by biological neural networks, Artificial neural networks are massively parallel computing systems consisting of a large number of simple processors with many interconnections. They have input connections which are summed together to determine the strength of their output, which is the result of the sum being fed into an activation function. Based on architecture ANNs can be feed forward network or feedback networks. Most common family of feed-forward networks, called multilayer perceptron, neurons are organized into layers that have unidirectional connections between them. These connections are directed (from the input to the output layer) and have weights assigned to them. The principle of ANN is applied for approximating a function where they learn a function by looking at examples of this function. Here the internal weights in the ANN are slowly adjusted so as to produce the same output as in the examples. Performance is improved over time by iteratively updating the weights in the network. The hope is that when the ANN is shown a new set of input variables, it will give a correct output. To train a neural network to perform some task, we must adjust the weights of each unit in such a way that the error between the desired output and the actual output is reduced. This process requires that the neural network compute the error derivative of the weights (EW). In other words, it must calculate how the error changes as each weight is increased or decreased slightly. The back-propagation algorithm is the most widely used method for determining EW. We have started our program for a fixed structure network. It’s a 4 layer network with 1 input, 2 hidden and 1 output layers. No of nodes in input layer is 9 and output layer is 1. Hidden layer nodes are fixed at 4 and 3. The learning rate is taken as 0.07. We have written the program in MAT LAB and got the output of the network. The graph is plotted taking no of iteration and mean square error as parameter. The converging rate of error is very good. Then we moved to a network with all its parameter varying. We have written the program in VISUAL C++ with no. of hidden layer, no of nodes in each hidden layer, learning rate all varying. The converging plots for different structure by varying the variables are taken

A study of disability in patients with chronic musculoskeletal pain

Background: Musculoskeletal impairment is the most common cause of chronic pain and subsequent disability world over. Yet their very few Indian studies on this subject. The aim of study was to assess the extent of disability in out-patients suffering from chronic musculoskeletal pain, to determine whether the disability varied with the age and sex of the patient, to assess any correlation between the intensity of pain and the extent of disability, and to evaluate whether the extent of disability depended upon the site, periodicity and duration of pain.Methods: The 200 patients of chronic musculoskeletal pain were assessed for disability using the pain disability questionnaire (PDQ) and pain intensity using the numeric pain rating scale. The patients with mild, moderate and severe disability were compared using non parametric tests to assess the differences related to age, sex, pain intensity, site, duration and periodicity of pain.Results: The 56% patients had mild, 41% had moderate while 3% patients reported severe disability. Disability was higher in patients in the younger age group, higher intensity of pain, heel pain and variable pain. In the regression analysis, pain intensity emerged as the sole predictor of disability.Conclusions: We conclude that 56% patients had mild, 41% had moderate while 3% patients reported severe disability. Disability was higher in patients at the extremes of age, higher intensity of pain, and variable pain. Gender and pain duration did not have any significant association with disability

Synthesis of bis(indolyl)methanes using molten N-butylpyridinium bromide

A simple and rapid protocol has been developed for the synthesis of bis(indolyl)methane compounds in excellent yields using molten N-butyl-pyridinium bromide as a solvent and a working catalyst for the reaction. Synthesis of bis(indolyl)methane compounds were accomplished at moderate experimental conditions of temperature and ambient pressure, also involving an electrophilic substitution reaction of indoles with several aromatic aldehydes. The derivatives were confirmed with mass and other usual spectroscopic techniques. A discussion on plausible mechanism for the reaction is also presented

Improving child survival under National Health Mission in India: Where do we stand?

India contributes to around one-fifth of the global under-five mortality and also maternal mortality besides one-third of the neonatalmortality. Since any reduction in child mortality in India is crucial for the global decline, therefore, the Indian Government decidedto undertake massive correction of the health system. This led to the launch of National Rural Health Mission in the year 2005. Sincethen, significant progress has been made and child mortality rates have shown a sharp decline. On comparing the progress made by theworld toward Millennium Development Goals, India fares better by showing a decline of 46.5% in comparison to 41% for the entireworld during the same period. In order to assess the state-wise reduction, data from sample registration system of the Registrar Generalof India which is available for most of the States/Union Territories (UTs) have been analyzed. States such as Maharashtra, Tamil Nadu,and Kerala have shown an impressive decline but some states such as Himachal Pradesh, Punjab, Mizoram, and Delhi still have a longway to go to reach the state specific goals and targets. Any further decline would only be possible by addressing inter-district variationsthat are still lagging behind and focused efforts need to be made, in order to reach these desired goals. This analysis would be valuablein planning future program implementation plans

The Role of Pruthkparnyadi Gana with special reference to Complications in Pregnancy

Pregnancy is a wonderful moment as to give birth to new live. Physiological changes during pregnancy may lead to complication of both mother and baby. Among these preeclampsia, eclampsia and epilepsy are major cause of maternal mortality in developed and developing countries causing perinatal morbidity and mortality with foetal growth retardation. In Ayurveda, complications in pregnancy are not mentioned specifically. Masanumasik Paricharaya for Garbhini (regimen for the pregnant woman) is mentioned, which helps to prevent and cure disease and maintain health of mother and foetus. Pre-eclampsia and eclampsia mostly occurs after 20 weeks of gestation. During pregnancy mostly Madhura (sweet) Rasa drugs are used while in 6th and 7th month of pregnancy Acharya Sushruta has mentioned Gokshur and Pruthkparnyadi Gana additionally. Plants reviewed showed antiepileptic, anti-hypertensive, nootropic, anti-inflammatory, anti-oxidant, rejuvenative, diuretics, and cardio protective properties, which are helpful in safe and natural management of complications in pregnancy. So there is definite role of above drugs. Hence an attempt has been made to elaborate the role of these drugs in complications during pregnancy

Ultrasonic atomizer based development of pH sensor for real time analysis

Abstract Fluorescent pH biosensors have gained importance owing to their low cost utilization in real time monitoring of biological and food samples in comparison to conventional pH meters. The research reports a novel method of ultrasonic atomization for developing a fluorescent pH sensor for real-time analysis made of Fluorescein isothiocyanate (FITC)-dextran/FITC-dextran-Tris (2, 2′-bipyridyl) dichlororuthenium (II) hexahydrate as indicator and reference fluorophores, respectively. The process of ultrasonic atomization ensures formation of monodisperse dye immobilized alginate microspheres ensuring efficient pH sensing. The developed biosensor was tested on milk samples, which has a short life span and shows a significant fall in pH with time due to microbial spoilage. The proposed biosensor showed a linear range of pH 4–8 (R2 between 0.96–0.99 for different single/dual fluorophore biosensors) which suitably cover the pH of milk during the entire storage period and spoilage. The % recovery for predicted pH falls between 90–110% compared against standard pH meter, indicating a good accuracy of estimation and low turnaround time (10 min). Thus, real-time monitoring using fluorescent pH biosensor for milk samples may profoundly improve the economics of losses occurring in processing and storage with capability of in-package continuous quality assessment