Volume 10 | Issue 8 |

 Abstract

Kursi is a large village located in Fatehpur Tehsil of Barabanki district, Uttar Pradesh. Kursi is one of five assembly constituencies in the Barabanki. Since 2008, this assembly constituency is numbered 266 amongst 403 constituencies. The SCSP and TSP program was initiated on the recommendation of Prime Minister of India Shri Narendra Modi Ji all over the country by the Ministry of AYUSH and Central Research Institute of Unani Medicine (CRIUM), Lucknow selected this village in 2018 and the mobile clinic began its function in the same year. The work is still going on and the population of this village is receiving Unani Medical treatment for ailments like Arthritis, Su al hadm, Wajaul Badan, Wajaul Batan, Bawaseer, Skin allergy and other NCD problems. Su al hadm (Functional dyspepsia) is a condition in which food is not properly digested, mainly it is caused by sue Mizaj Barid and a common upper gastrointestinal disorder worldwide, but the current treatments for functional dyspepsia are still unsatisfactory. Su al hadm and to assess the effect on quality of life. Unani literature is very rich in controlling the health problems related to digestive system.. The observation shows that people are satisfied with the SCSP project and want CCRUM to continue for as long as possible.

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Su al hadm, Functional dyspepsia, Non communicable diseases

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Medical services is vital to have a decent existence. Nonetheless, it is hard to get the discussion with the specialist for each medical issue. The thought is to make a clinical chatbot utilizing Artificial Intelligence that can analyze the infection and give essential insights concerning the illness prior to counseling a specialist. This will assist with lessening medical care costs and improve availability to clinical information through clinical chatbot. The chatbots are PC programs that utilization normal language to connect with clients. The chatbot stores the information in the data set to distinguish the sentence watchwords and to settle on an inquiry choice and answer the inquiry. Positioning and sentence likeness computation is performed utilizing n-gram, TFIDF and cosine closeness. The score will be acquired for each sentence from the given info sentence and more comparable sentences will be gotten for the question given. The outsider, the master program, handles the inquiry introduced to the bot that isn't perceived or is absent in the data set.

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Artificial Intelligence, Chatbots, Health Care Systems, Machine Learning, Natural Language Programming

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Mesenchymal stem cells (MSCs) are stromal cells that have the ability to self-renew and also exhibit multilineage differentiation. MSCs can be isolated from a variety of tissues, such as umbilical cord, endometrial polyps, menses blood, bone marrow, adipose tissue, etc. This is because the ease of harvest and quantity obtained make these sources most practical for experimental and possible clinical applications. Recently, MSCs have been found in new sources, such as menstrual blood and endometrium. The multipotent properties of MSCs make them an attractive choice for possible development of clinical applications. Future studies should explore the role of MSCs in differentiation, transplantation, and immune response in various diseases. Mesenchymal stem cells can also regenerate and repair damaged liver cells. In mouse models of liver fibrosis, mesenchymal stem cells delivered to the liver were shown to improve liver function by reducing inflammation and necrosis and inducing hepatocyte regeneration.

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MSC, Bone Marrow, Amniotic Fluids

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The first tomb built by the Baburids in India is Humayun's Tomb in the early 1900s, it was the first Indian mausoleum to be built in the char bagh style. This Tomb was also the inspiration for the world's most famous mausoleum, the Taj Mahal and it was designated as a UNESCO world historic site in 1993. However, the commander of this exquisite mausoleum and the architectural style chosen is still unknown. We shall try to identify the commander of Humayun's Tomb and determine which architectural styles were used and whose traditions were used to influence this legacy in this study. Furthermore, we examined the restoration of this tomb and how it has evolved over time, depending on whether it was maintained by the local government or by private citizens. Some of the changes have also occurred as a result of significant events in India's history. The Aga Khan Trust for Culture (AKTC) recently rebuilt the complex, jeopardizing the preservation of major historic events that occurred there.

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ABSTRACT Pregnancy induced hypertension is one of the most important and common medical disorder during pregnancy and up to 10-13% of pregnancies are complicated by hypertension, increasing mortality and morbidity of both mother and baby . Despite of many known consequences, there is no definitive, effective treatment. The controversy surrounding the use of anti-hypertensive medications during pregnancy Therefore, there is an urgent need for new and different methods of treating hypertension during pregnancy; in particular, non-pharmacological options.There are many non pharmacological measures among those music therapy and pranayama is common and cost effective. Objectives of the study The main purpose of the study was to assess the effectiveness of music therapy Vs tranquilizing pranayama on physiological parameters among antenatal mothers with pregnancy induced hypertension Methods A quasi experimental two group pretest and post test design was adopted. 20 (10 for music therapy, 10 for tranquilizing pranayama )antenatal mothers with PIH were selected by using purposive sampling technique at Rajiv Gandhi Government Women and Children Hospital,Pondicherry. Demographic variables were collected and physiological parameters were assessed. For both group intervention was administered ,after 4 weeks post test carried out. The collected were analyzed. Results The results reveals that both intervention are effective and had positive influence on physiological parameters. While comparing music therapy with tranquilizing pranayama, tranquilizing pranayama shows more effective.

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Key words- music therapy, effectiveness, pranayama, antenatal mother with PIH

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The purposed study was to attempt the preparation of sustained released microspheres with thenatural polymers. The main obstacle in the preparation of the microsphere was the swelling ability and solubility of the banana flour that the microspheres. This restricts the preparation of microspheres of Venlafaxine HCL by simple techniques of double emulsion technique. In the present study the sustained release microspheres were attempted to prepare with Banana flour as a main natural polymer and xanthan gum, gaur gum as a co-polymer. The ionic gelation technique was used to prepare sustained release microspheres with Venlafaxine HCL. The prepared microspheres were characterized for scanning electron microscopy and micromeritic properties. Other studies like drug content, drug entrapment efficiency and drug release studies were also caried out. The resulting microspheres of batch V4 were found to be shown good at drug content , drug entrapment efficiency and also the drug release studies which was found to be 97.08%. From this study we can conclude that the microspheres can be prepared using banana powder as a natural polymer.

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Sustained Drug Delivery, Microspheres, Banana Flour, Venlafaxine HCL, Ionic gelation technique

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Keywords : Ayurveda, Nidra, Agnibala, DiptaAgni, Ratri Jagran, Trayopstambha,Sleep.

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Artificial Neural Networks (ANN) are currently a prominent research area in medicine and it is believed that they will receive extensive application to biomedical systems in the next few years. At the moment, the research is mostly on modeling parts of the human body and recognizing diseases from various scans (e.g. cardiograms, CAT scans, ultrasonic scans, etc.). Neural networks (NN) are ideal in recognizing diseases using scans since there is no need to provide a specific algorithm on how to identify the disease. Neural networks learn by example so the details of how to recognize the disease are not needed. The present paper focuses on the Artificial Neural Network and its application in medicine or medical research. This paper will also provide an up-to-date introduction to the increasingly important area of Artificial Neural Networks in medical, and its implementation in the form of technological innovations for medicine and Medical Diagnosis System

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ANN, Neural Network in Medicine, Applications of Neural Network in Medicine, ANN in Medical Diagnosis System

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Ayurveda Aims to Maintain the health of a healthy person and to cure the diseases of the patients. Ayurveda has given three sub pillars-Ahara, Nidra, Bramhacharya, which supports the body itself, Ahara is one among them. The food articles which maintain the equilibrium of dhatus are to be regarded as Hita Ahara, otherwise, they are Ahita Ahara. Such physicians are conversant with the Ahara dravyas in ascertaining the Hita Ahara in practice according to the disease and Patient. Hence an attempt is made here to throw light on the Concept of Hita and Ahita Ahara in Charaka Samhita.

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Hita Ahara, Ahita Ahara Ahara Dravyas.

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Despite the reality that plastic waste is among the biggest ecological problems of our period, there still is a lack of knowledge on the local delivery of plastic products, which really is necessary to minimise its detrimental impacts and to develop mitigation strategies. The handling of plastic garbage is indeed a worldwide issue. Scientists have developed computerized management approaches that improve the effectiveness of the reprocessing since manual garbage disposal is a difficult and expensive operation. Artificial intelligence (AI), particularly deep reading, and picture processing algorithms can be used to autonomously identify plastic debris from of the waste disposal belt. Large categories of materials including papers, plastics, metals, & glasses are all subject to the same waste management techniques and procedures. The hardest issue, though, is to distinguish among various item kinds inside the group, for instance, to separate various glass or plastic hues. It is significant since some forms of polymer may be recycled (PET can be converted into polyester material). They must therefore determine how to segregate such garbage. Utilizing in-depth training and convolutional neural network (CNN) is one of the potentials. Plastic products, particularly those polyethylene terephthalate, polypropylene, and polystyrene, are the largest source of domestic waste. The primary issue addressed in this article is how to develop an automation process for disposing of plastic garbage that can sort waste into PET, PP, HDPE, and LDPE types and operate in either a filter plant or a resident's house. To find rubbish that really can help with resolving urban waste issues, we've proposed an approach it can be used on mobile devices

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Polyethylene Terephthalate (PET), High Density Polyethylene (HDPE), Low-Density Polyethylene (LDPE), Polypropylene (PP)

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