EFFECT OF KAPIKACCHU CHURNA AND STHIRADIPANCHAMOOLA YAPANA BASTI KARMA IN THE MANAGEMENT OF KSHEENASHUKRATA W.S.R. TO OLIGOSPERMIA: A CASE STUDY

Ayurveda is a science of life and it has taken the foremost place in the management of life style disorder. Oligospermia refers to semen with low concentration of sperm and is a common finding in male infertility. Often semen with a decreased sperm concentration may also show significant abnormalities in sperm morphology and motility. In general Male infertility factors are suspected of contributing to infertility in almost 40% of infertile couples,A male patient aged 25 years was presented with desire to get child and other associated symptoms were Daurbalya (weakness),Timira Darshana(black out),  Mukha Shosa (dryness of mouth),  Panduta (paleness), Shrama (Fatigue or Tiredness), Aharsana (weak penile erection), Maithune Ashakti (Problematic or not satisfactory coitus), Rati Anabhimukhata (Lack of sexual desire), & Medhra-Vrishana Vedana (Pain in scrotum and penis). On basis of symptoms and semen analysis he was diagnosed as case of Ksheenashukra (oligospermia). The patient was managed with Kapikacchu churna and Sthiradipanchamoola Yapana Basti Kala Basti karma. Result were assessed by grading for sexual parameters like sexual desire, erection, ejaculation and symptoms of Kshinashukra. Seminal Parameters was done by Semen Analysis. Kapikacchu churna and Basti treatment gave significant improvement in all the symptoms of Kshinashukra and seminal parameters like sperm count, motility

Microcontroller Based Application in Electronics & Communication

This paper is showing the various applications of electronics and communication which are working paralleled to each other that makes our life easy and wonder fool. In our life style from morning to evening there are various devices which we are using, and there may be much more possibilities to innovate devices. Such as smart gadgets which are capable to measure rate of change of humidity, temperature, sun light as according to weather and then system should control fan and light. There are also need of electricity consumption analysis, which keep intelligent eyes on every instrument. Here we want to develop a smart system that can analyze vehicle maintenance cycle, losses of electricity, uses of water in home or offices. In this paper we will discuss about innovative research in electronics and communications and their future scope

Study of the Association between Hypothyroidism and Non-Alcoholic Fatty Liver Disease

Aim: The aim of the present study was to investigate the association between hypothyroidism and non-alcoholic fatty liver disease (NAFLD). Methods: In a prospective observational study, the hypothyroidism patients were evaluated for NAFLD using ultrasonography. The participant’s characteristics such as age, gender, thyroid profile, history of diabetes, hypertension, ischemic heart disease (IHD) were recorded using a data gathering form. Results: A total of 51 participants were included in this study. From 51 participants, 47 (92.18%) individuals were females whereas 4 (7.82%) individuals were males. Out of 51 participants 27 individuals had NAFLD. There was statistically significant difference in FT4 levels with the participants with NAFLD. Conclusion: Results from this study suggested that low FT4 concentration is associated with increased risk of NAFLD. Keywords: Hypothyroidism, NAFLD, ultrasonography, FT4

Independent Component Analysis in Spiking Neurons

Although models based on independent component analysis (ICA) have been successful in explaining various properties of sensory coding in the cortex, it remains unclear how networks of spiking neurons using realistic plasticity rules can realize such computation. Here, we propose a biologically plausible mechanism for ICA-like learning with spiking neurons. Our model combines spike-timing dependent plasticity and synaptic scaling with an intrinsic plasticity rule that regulates neuronal excitability to maximize information transmission. We show that a stochastically spiking neuron learns one independent component for inputs encoded either as rates or using spike-spike correlations. Furthermore, different independent components can be recovered, when the activity of different neurons is decorrelated by adaptive lateral inhibition

Ensemble Kalman Filter (EnKF) for Reinforcement Learning (RL)

This paper is concerned with the problem of representing and learning the optimal control law for the linear quadratic Gaussian (LQG) optimal control problem. In recent years, there is a growing interest in re-visiting this classical problem, in part due to the successes of reinforcement learning (RL). The main question of this body of research (and also of our paper) is to approximate the optimal control law {\em without} explicitly solving the Riccati equation. For this purpose, a novel simulation-based algorithm, namely an ensemble Kalman filter (EnKF), is introduced in this paper. The algorithm is used to obtain formulae for optimal control, expressed entirely in terms of the EnKF particles. For the general partially observed LQG problem, the proposed EnKF is combined with a standard EnKF (for the estimation problem) to obtain the optimal control input based on the use of the separation principle. A nonlinear extension of the algorithm is also discussed which clarifies the duality roots of the proposed EnKF. The theoretical results and algorithms are illustrated with numerical experiments