Volume 10 | Issue 8 |

 Abstract

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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Creative Commons Attribution 4.0 and The Open Definition

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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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Creative Commons Attribution 4.0 and The Open Definition

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School students, Education level, Gender and family adjustment, Ahmedabad school.

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Advances in imaging technology have made the capture and display of digital images ubiquitous. A variety of displays are used to view them, ranging from high-resolution computer monitors to low-resolution mobile devices, and images often have to undergo changes in size and aspect ratio to adapt to di?erent screens. Also, displaying and printing documents with embedded images frequently entail resizing of the images to comply with the overall layout. Straightforward image resizing operators, such as scaling, often do not produce satisfactory results, since they are oblivious to image content. In this work, we review and categorize algorithms for content-aware image retargeting, i.e., resizing an image while taking its content into consideration to preserve important regions and minimize distortions. This is a challenging problem, as it requires preserving the relevant information while maintaining an aesthetically pleasing image for the user. The techniques typically start by computing an importance map which represents the relevance of every pixel, and then apply an operator that resizes the image while taking into account the importance map and additional constraints. We intend this review to be useful to researchers and practitioners interested in image retargeting

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Image retargeting, automatic cropping, saliency measures, content-aware image resizing

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Creative Commons Attribution 4.0 and The Open Definition