A CLINICAL STUDY TO EVALUATE THE EFFICACY OF TRITIYA ALAMBUSHADI CHURNA IN MANAGEMENT OF AMAVATA

Amavata is a chronic disease. Due to tremendous pain in Amavata, patients daily life get disturbed. Also the morbidity of disease disturbs routine work of the patient. The sign and symptoms of Amavata is nearer to resemble with Rheumatoid arthritis in modern science, R.A is more than just arthritis. The prevalence of R.A. is approximately 0.8% of the population (range 0.3 to 2.1%), woman are affected three times more often than man. Family studies indicate a genetic predisposition. Now a days, due to changed life style and improper dietary habits like pattern of spicy food, irregular timing of meals, over eating etc. causes Agnimandya and it leads to production of Ama. All these faulty eating habits are almost always accompanied with faulty vihara like improper or over exercise, late night parties, suppression of natural urges, excessive traveling etc. these are causes of vitiation of Vata. This vitiated Vata carries Ama to the all over the body especially the Kapha sthanas and produces symptoms like Sandhi shotha, Sandhi shula, Stabdhata1 (stiffness) and other systemic sign and symptoms. This dreadful disease is called as Amavata.Tritiya Alambushadi Churn provided highly significant relief in pain (73.41%). joint score (59.26%), tenderness (73.91%), stiffness (76.22%), swelling of joints (78.53%), local temperature (77.61%) and improvement in grip strength (73.61%),functional activity (79.66%). i.e. overall total improvement is 73.63%. On the basis of these observations, administration of Tritiya Alambushadi Churna is effective for the management of Amavata

Classification of Chest X-ray Images using CNN for Medical Decision Support System

X-rays are a crucial tool used by healthcare professionals to diagnose a range of medical conditions. However, it is important to keep in mind that a timely and accurate diagnosis is crucial for effective patient management and treatment. While chest X-rays can provide highly precise anatomical data, manual interpretation of the images can be time-consuming and prone to errors, which can lead to delays or incorrect diagnoses. To address these issues, healthcare systems have taken steps to improve diagnostic imaging services following the impact of the COVID-19 pandemic. While deep learning-based automated systems for classifying chest X-rays have shown promise, there are still several challenges that need to be addressed before they can be widely used in clinical settings, including the lack of comprehensive and high-quality datasets. To overcome these limitations, a real-time DICOM dataset, has been converted to JPEG format to increase processing speed and improve data control. Three pre-trained models and a convolutional neural network (CNN) model with low complexity and three convolutional layers for feature extraction, along with max pooling layers and ReLU and Softmax activation functions have been implemented. With an validation accuracy of 95.05% on their CNN model using the SGD optimizer, the result has been validated using a separate, real-time unlabeled DICOM dataset of 1000 X-ray images

RELATIONSHIP BETWEEN ANTHROPOMETRIC PARAMETERS AND INTELLIGENCE IN PRESCHOOL CHILDREN FROM RURAL KONKAN

Aim: To study association between anthropometric parameters and intelligence in preschool children from Rural KONKAN.Method: Children between 3 to7 years of age were examined for anthropometry, dietary recall and Intelligence (Intelligent Quotient-IQ) assessment from rural anganwadis. IQ test was performed by clinical psychologist using Binet-Kamat test of intelligence (version 4). Nutritional information was collected from 24- hour dietary recall and food diversity. Results: Results were interpreted using Prorated IQ We studied 159 (82 boys, 78 girls) out of which 15 (9.6%) had higher IQ. 25 (15.8%) were born LBW. Anthropometry classification showed that 61 (38.4%) were stunted and 25(15.7%) were wasted. According to IOTF, 72 (46%) were thin, 83(52%) were normal and 3 (2%) were overweight. we found that there is no significant difference in IQ with respect to anthropometric parameters, birth weight and nutritional status. Conclusion: We could not find any association of anthropometric parameters with IQ inspite of high prevalence of malnutrition. Brain is vital organ which can be protected by redistribution of blood flow at the cost of other organs like liver and abdominal viscera, which are the markers for future risk of diabetes. There is need to improve nutritional status. New update of IQ test is much needed as the current test is more than 50 years old and does not take into account the social, cultural transition over last 2 decades. &nbsp

RELATIONSHIP BETWEEN ANTHROPOMETRIC PARAMETERS AND INTELLIGENCE IN PRESCHOOL CHILDREN FROM RURAL KONKAN

Aim: To study association between anthropometric parameters and intelligence in preschool children from Rural KONKAN.Method: Children between 3 to7 years of age were examined for anthropometry, dietary recall and Intelligence (Intelligent Quotient-IQ) assessment from rural anganwadis. IQ test was performed by clinical psychologist using Binet-Kamat test of intelligence (version 4). Nutritional information was collected from 24- hour dietary recall and food diversity. Results: Results were interpreted using Prorated IQ We studied 159 (82 boys, 78 girls) out of which 15 (9.6%) had higher IQ. 25 (15.8%) were born LBW. Anthropometry classification showed that 61 (38.4%) were stunted and 25(15.7%) were wasted. According to IOTF, 72 (46%) were thin, 83(52%) were normal and 3 (2%) were overweight. we found that there is no significant difference in IQ with respect to anthropometric parameters, birth weight and nutritional status. Conclusion: We could not find any association of anthropometric parameters with IQ inspite of high prevalence of malnutrition. Brain is vital organ which can be protected by redistribution of blood flow at the cost of other organs like liver and abdominal viscera, which are the markers for future risk of diabetes. There is need to improve nutritional status. New update of IQ test is much needed as the current test is more than 50 years old and does not take into account the social, cultural transition over last 2 decades. &nbsp

Nutritional Status and Psychological Impairment in Rural Adolescent Girls: Pilot Data From “KOKAN” Region of Western India

Background: Adolescence is a period during which psychological foundations are laid down as well as consolidated. Not much information is available on rural Indian adolescent girls and their psychological health.Methods: We did a pilot survey of psychological health of 80 adolescent girls residing at KOKAN region of western India. Psychological health was evaluated using Youth Paediatric Symptom Checklist (Y-PSC) consisting of 35 items with maximum score of 70. Girls with a score >30 were classified as psychologically impaired. In addition we also collected random blood sample and measured the micronutrients. Macronutrient intake was estimated by 24 h recall.Results: The mean age of the girls was 14 years with a standard deviation of 1.5. In all 35/76 (46.1%) could be classified as psychologically impaired. There was a high prevalence of micronutrient deficiencies with varying degrees. More than 65% were deficient in calcium, zinc and folic acid. About 22% were anemic and 36% were vitamin B1 deficient. More than 75% had a low recommended dietary allowance (RDA) of macronutrients. Those with poor serum calcium concentration had higher psychological score (p < 0.05). Fat and calcium intakes were inversely associated with psychological score (p < 0.05 and p < 0.001 respectively). Odds ratios for psychological impairment were significant for those with low calcium levels [1.47 (95% CI 1.21, 4.31)], and for those with low calcium intake 1.43 (1.08, 3.19) and low iron intake 3.04 (1.02, 9.26).Conclusion: Our pilot data has shown the urgent need to improve the nutrition of adolescent girls, which could improve their psychological health

Effects of different Lasers on the fibrotic tissue

Kidney disease, one of the ten major escalating public health problems, affects nearly 20 million people in the United States. This problem is increasing due to an increased prevalence of diabetes and hypertension which leads to chronic kidney disease or end stage renal failure ultimately leading to hemodialysis or reno-transplantation. The progression to chronic ailment is marked by onset and progression of fibrosis with sustained inflammation, overexpression and deposition of collagen in the extracellular matrix making it inhospitable to recovery. The purpose of this study was to initiate the regeneration of the fibrotic kidney environment with the help of different combinations of low level laser therapy (LLLT) with/without Mesenchymal Stem Cells (MSC) in a mouse model of renal fibrosis induced by unilateral ureter obstruction (UUO). The fibrosis was induced for 3 weeks followed by 4 weeks of treatment and finally kidney explanted for analysis. The treatment regimen included a trilaser therapy with a supplemental monolaser treatment as a second dose with/without weekly once dose of MSCs. Results were determined by dividing all measurements into kidney cortex and medulla. It was demonstrated that the amount of fibrosis reduced with trilaser + supplemental 635nm + MSC treatment, endothelial quantification increased with trilaser + supplemental 532nm treatment and trilaser + supplemental 635nm+MSC, mitochondrial activation increased with trilaser + supplemental 405nm + MSC treatment. The pro-fibrotic cytokine TGF-β reduced when treated with trilaser + supplemental 405nm + MSC however, a significant increase in the amount of anti-inflammatory cytokine IL-10 was not observed. The results thus indicate a significant effect on the reversal of fibrosis with trilaser therapy supplemented with 635nm wavelength and MSC

Impact of Urban Heat Island on Formation of Precipitation in Indian Western Coastal Cities

Rapid urbanization is leading to a drastic hike in anthropogenic activities and urban surface alterations. As a result, there are many repercussions, one of them being higher temperatures in urban areas when compared to rural areas. This phenomenon is termed Urban Heat Island (UHI). The impacts of urban surface characteristics, climate, and population density on UHI have been extensively studied. However, the influence of UHI on the local climate remains elusive. Relatively few studies demonstrate interrelation between UHI, population density, and unanticipated precipitation events. Therefore, it is important to comprehend the connection as it can impact extreme temperature events like heat waves and unanticipated precipitation events like flash flooding. The objective of this study is to investigate the association between UHI, population density, and precipitation in the summer and winter seasons in Indian Western Coastal Cities. To comprehend this association, a hypothesis test employing the Spearman rank correlation coefficient is conducted for 1991, 2001, 2011, and 2021. From the study, it is found that in summer, the surface temperature is directly proportional to population density and inversely proportional to precipitation. In winter the contrary relation is observed. This study also provides the seasonal variation and temporal evolution of the correlation among the parameters. This research will aid in making informed decisions for urban planning and addressing climate change. &nbsp

Indian Sign Language Recognition using Convolutional Neural Network

Communicating with the person having hearing disability is always a major challenge. The work presented in paper is an exertion(extension) towards examining the difficulties in classification of characters in Indian Sign Language(ISL). Sign language is not enough for communication of people with hearing ability or people with speech disability. The gestures made by the people with disability gets mixed or disordered for someone who has never learnt this language. Communication should be in both ways. In this paper, we introduce a Sign Language recognition using Indian Sign Language.The user must be able to capture images of hand gestures using a web camera in this analysis, and the system must predict and show the name of the captured image. The captured image undergoes series of processing steps which include various Computer vision techniques such as the conversion to gray-scale, dilation and mask operation. Convolutional Neural Network (CNN) is used to train our model and identify the pictures. Our model has achieved accuracy about 95

A Survey on Video Content Identification Tool

Now-a-days, the search engines available are text-based search engines. Thus using text-based search engines one can efficiently search for the desired video. Many times it happens like video name that has fired as a query, contains irrelevant data. Even recently it is found that some illegal information is communicated via video by embedding it into a longer video. And also it is found that broadcast channels and IPTV services many times use same digital videos. An efficient method of consuming, storing and retrieving such vast amounts of videos is essential. This has led to the emergence of video copy detection as an active area of research. In this survey, a study of different MPEG standard, challenges in video copy detection, brief idea about video fingerprint and its application are discussed