A systemic review of Panduroga w.s.r. To Anemia

Panduroga is a disease, which is commonly found in our country, It is seen that Nutritional deficiency is the major etiological factor of this disease in the developing countries like India the incidence of the disease is in both sexes but females are majorly affected.In our countries there are many people who come below the poverty level. They can not afford fresh, green leafy vegetables, cereals, milk, fruit's etc. most women could not get proper nutritious food during pregnancy and after-ward due to illiteracy, poverty and lack of proper understanding about disease. They do not take proper treatment. That's why anemia is very serious & emerging problem of mankind. In Ayurvedic classics, Anemia can be correlated with Panduroga. Panduroga has been described in all the samhitas in detail with it's Nidan Panchak present study. Deals with a systemic review of Panduroga from all the classics of Ayurveda. It is our proposed plan of treatment to deal with Anemia in our Dr. M.N.Agashe Charitable Trust, Hospital, Satara. We are studying the effect of Bibhitakadi vati on anemia. Which contain 1) Bibhitaka, 2) Sunthi, 3) Tilbeej, 4) Mandur Bhasm, 5)Gud

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Not AvailableStress is the result of an organism's interaction with environmental challenges. Regulations of gene expression including translation modulations are critical for adaptation and survival under stress. Untranslated regions (UTRs) of the transcripts play significant roles in translation regulation and continue to raise many intriguing questions in our understanding of cellular stress physiology. IRES (Internal ribosome entry site) and uORF (upstream open reading frame) mediated alternative translation initiations are emerging as unique mechanisms. Recent studies have revealed novel means of mRNAs stabilization in stress granules and their reversible modifications. Differential regulation of select transcripts is possible by the interplay between the adenine/ uridine-rich elements (AREs) in 3’UTR with their binding proteins (AUBP) and by microRNA-mediated effects. Coordination of these various mechanisms control translation and thereby enables appropriate responses to environmental stress. In this review, we focus on the role of sequence signatures both at 5’ and 3’UTRs in translation reprogramming during cellular stress responses.Not Availabl

Deep Learning with Data Augmentation for Fruit Counting

Counting the number of fruits in an image is important for orchard management, but is complex due to different challenging problems such as overlapping fruits and the difficulty to create large labeled datasets. In this paper, we propose the use of a data-augmentation technique that creates novel images by adding a number of manually cropped fruits to original images. This helps to increase the size of a dataset with new images containing more fruits and guarantees correct label information. Furthermore, two different approaches for fruit counting are compared: a holistic regression-based approach, and a detection-based approach. The regression-based approach has the advantage that it only needs as target value the number of fruits in an image compared to the detection-based approach where bounding boxes need to be specified. We combine both approaches with different deep convolutional neural network architectures and object-detection methods. We also introduce a new dataset of 1500 images named the Five-Tropical-Fruits dataset and perform experiments to evaluate the usefulness of augmenting the dataset for the different fruit-counting approaches. The results show that the regression-based approaches profit a lot from the data-augmentation method, whereas the detection-based approaches are not aided by data augmentation. Although one detection-based approach finally still works best, this comes with the cost of much more labeling effort.</p