THE COMBINED EFFECT OF VARABHRIHATYADI KASHAYA AND SARAPUNKHA LEPA IN CHRONIC TONSILLITIS IN CHILDREN

Children with the clinical features of Chronic Tonsillitis coming under the age group 3-12 years were included in the study. The patients were randomly allocated in to the study group and control group using simple random sampling technique. In the study group the dose of Varabrihatyadi Kashaya was fixed as follows, in the age group 3-6 years: 10ml bd before food, in the age group 6-9 years: 20ml bd before food, in the age group 9-12 years: 30ml bd before food. Sarapunkha lepa was applied around the neck where enlarged lymph nodes were found. Frequency of paste was fixed as two times daily and at each time, it is kept until it becomes dry. At the same time those in the control group were subjected to external application of Sarapunkha lepa only. Both the groups were followed for a period of 1 month after the scheduled course of intervention. Routine blood investigations were also carried out before and after the study. The data were analyzed using the most appropriate statistical tests. Significant changes were obtained in the clinical parameters in the study group used for assessment such as recurrent attacks of sore throat, pain in the throat, pain on swallowing, difficulty in swallowing, halitosis, mouth breathing, hoarseness of voice, chocking spells at night, size of the tonsil, congestion of pillars, oedema of the uvula, deviation of the uvula and lymph node enlargement. There was a significant change in the routine blood investigations also. Moreover the trial drug sustained its potential action even during the follow up period. The effect of control drug was insignificant. The final evaluation proved that combination of Varabhrihathyadi Kashaya and Sarapunkha lepa was effective in reducing the signs and symptoms of Chronic Tonsillitis in children of 3-12 yrs age group

AYURVEDIC MANAGEMENT OF UNEXPLAINED INFERTILITY- A CASE STUDY

Infertility is a condition in which successful pregnancy has not occurred, despite normal intercourse over 12 months. The cause of female infertility is multifactorial. Ayurveda assures normal pregnancy by proper maintenance of Garbha Samgraha samagris and normalcy of mind. All the causes of female infertility come under the imbalance of Garbha Samgraha Samagri and mind factors. In this case report patient suffered from primary infertility since six years, after allopathic consultation came for ayurvedic treatment. From detailed history involvement of vitiated Vatha, Agnimandhya and stressful mind was noticed. She was treated with Chiruvilwadi kashayam, Dhanwantharam gulika, Jeerakarishtam, Kumaryasavam and Manasamithravatakam for one month.  Took follicular study on next cycle and revealed post ovulatory status on 16th day of cycle. Advised Phalasarpis, Dhanwantharam Gulika and Manasamithravatakam for two weeks. Patient came with positive urine pregnancy test after one week of missed period. The line of treatment followed in this case was to maintain Agni, normalize Vatha and assure proper health to mind. During the second half of the cycle Garbhasthapana medicines were administered. Patient took Dhanwantharam gulika and phalasarpis throughout the first trimester along with regular ante natal check up. Continued Dhanwantharam gulika up to 36 weeks and started Sukhaprasavagritham upto delivery from 36 weeks onwards. She delivered a female baby on 06.05.2018

समुद्रातील पिंजऱ्यात करावयाच्या मत्स्यशोतिसाठी स्थळ आणि प्रजाती यांची निवड

Cage culture is an utilisation of existing water bodies with little or no economic costs. The selection of a suitable site for a cage farm is indispensible for their effective function, particularly in relation to proper water quality within the cage and reduced environmental impacts around the cage and for the economic viability of the cage farm. The natural tolerance of species should be studied for assessment of suitable site

A Comparative analysis of tens and active spinal Exercises verses tens and trigger point release Technique in improving low back pain of Mechanical origin.

Pain is a process which can affect the individual physically, emotionally, psychologically, socially, occupationally and in many other ways. Knowledge of mechanical low back pain disorders has matured beyond past that all back pain is from the intervertebral disc or the zygopophyseal joints or is myofascial in nature, or that we have only an isolated injury. If we can identify the offending forces, especially during a patients activities of daily living, and minimize these forces while allowing the person to stay active, then the healing process will more readily occur. In effect one of the goals of treatment for any mechanical injury to provide an optimal healing environment. In an effort to find out the effectiveness of myofascial trigger point release technique on relieving pain in mechanical low back pain20 subjects were selected by using non-probability purposive random sampling technique and assigned into two groups with 10 subjects each. Group A was treated with TENS and active spinal exercises and group B was treated with trigger point release technique and tens for a period of 10 days

Abrupt transitions in turbulent thermoacoustic systems

Abrupt transitions to the state of thermoacoustic instability (TAI) in gas turbine combustors are a significant challenge plaguing the development of next-generation low-emission aircraft and power generation engines. In this paper, we present the observation of abrupt transition in three disparate turbulent thermoacoustic systems: an annular combustor, a swirl-stabilized combustor, and a preheated bluff-body stabilized combustor. Using a low-order stochastic thermoacoustic model, we show that the reported abrupt transitions occur when an initially stable, supercritical limit cycle becomes unstable, leading to a secondary bifurcation to a large amplitude limit cycle solution. The states of combustion noise and intermittency observed in these turbulent combustors are well captured by the additive stochastic noise in the model. Through amplitude reduction, we analyze the underlying potential functions affecting the stability of the observed dynamical states. Finally, we make use of the Fokker-Planck equation, educing the effect of stochastic fluctuations on subcritical and secondary bifurcation. We conclude that a high enough intensity of stochastic fluctuations which transforms a subcritical bifurcation into an intermittency-facilitated continuous transition may have little effect on the abrupt nature of secondary bifurcation. Our findings imply the high likelihood of abrupt transitions in turbulent combustors possessing higher-order nonlinearities where turbulence intensities are disproportionate to the large amplitude limit cycle solution

An end-to-end, interactive Deep Learning based Annotation system for cursive and print English handwritten text

With the surging inclination towards carrying out tasks on computational devices and digital mediums, any method that converts a task that was previously carried out manually, to a digitized version, is always welcome. Irrespective of the various documentation tasks that can be done online today, there are still many applications and domains where handwritten text is inevitable, which makes the digitization of handwritten documents a very essential task. Over the past decades, there has been extensive research on offline handwritten text recognition. In the recent past, most of these attempts have shifted to Machine learning and Deep learning based approaches. In order to design more complex and deeper networks, and ensure stellar performances, it is essential to have larger quantities of annotated data. Most of the databases present for offline handwritten text recognition today, have either been manually annotated or semi automatically annotated with a lot of manual involvement. These processes are very time consuming and prone to human errors. To tackle this problem, we present an innovative, complete end-to-end pipeline, that annotates offline handwritten manuscripts written in both print and cursive English, using Deep Learning and User Interaction techniques. This novel method, which involves an architectural combination of a detection system built upon a state-of-the-art text detection model, and a custom made Deep Learning model for the recognition system, is combined with an easy-to-use interactive interface, aiming to improve the accuracy of the detection, segmentation, serialization and recognition phases, in order to ensure high quality annotated data with minimal human interaction.Comment: 17 pages, 8 figures, 2 table