74 research outputs found
Optimization of a multiple Effect Evaporator System
Get PDFA septuple effect flat falling film evaporator system for the concentration of black liquor is studied and a generalized cascade algorithm is developed for the different operating strategies. The amount of live steam consumption in the system is evaluated for the given base case parameters. Then the amount of auxiliary vapour produced due to the use of one feed flash tank and seven condensate flash tanks was determined. It was found that the presence of flash tanks helps in recovering heat from the used vapour and thereby reduces the overall live steam consumption of the system and improves the overall steam economy of the system. Thus it helps in making the system more economical
Text Extraction from Captured Image and Conversion to Audio for Smart Phone Application
Get PDFText extraction from captured image by smart phone is difficult task due muddle background and non-textual portion. Again the text is in a variety of fonts, styles, sizes, and having different words where every word may contain different characters in dissimilarities of text patterns. If we can ignored the problems of muddle background and text separation for the some instant, again there are several other reasons as font style and variations in size word by word or character by character; background as well as foreground colour; camera position which can lead distortions; brightness and image resolution. The proposed technique is firstly, Capture the image from mobile camera and it is a color image. Then the colour image is converted into gray scale image and then gray scale image is converted into binary image. This binary image is gives to the Optical character recognition (OCR) engine which recognize and extract the text from image and gives to the Text to Speech (TTS) engine. The Text to Speech engine is converting the text into audio
Carica Papaya’s Anti-Diabetic and Anti-Cancer Properties – A Review
Get PDFThe Carica papaya originates from the Caricaceae family, and various members of this family have been used as treatments for a range of ailments. The perennial plant C. papaya, which is currently found over the whole tropical region, is thought to have originated in the southern region of Mexico. To assess the biological activity of distinct C. papaya sections, several scientific studies have been carried out. Since ancient times, the papaya plant's many components have been employed for medicinal purposes. In this article, the process of extracting Carica papaya leaves as well as the anti-cancer and anti-diabetic properties of papaya leaf activity were all things we wanted to assess. The information for this review paper, which focuses mostly on the therapeutic potential of papaya leaf extract was obtained via researching a collection of wider internet databases, including Google Scholar, PubMed, Science Direct, and Elsevier. The papaya plant, which has different parts such as fruit, leaves, seeds, bark, latex, and other substances, is very important in controlling the spread of illness. Alkaloids, glycosides, tannins, saponins, and flavonoids are just a few of the bioactive constituents in this, we focused on the papaya plant leaf's anti-cancer and anti-diabetic properties. The papaya has a wide range of therapeutic qualities. Papaya is a potent remedy, according to traditional beliefs. Biological activities have been the subject of much research. In the current review, all the pharmacological applications and activities of certain chemical components are discussed
Critical Analysis of PIM2 Score Applicability in a Tertiary Care PICU in Western India
Get PDFObjective. Children have limited physiological reserve that deteriorates rapidly. Present study profiled patients admitted to PICU and determined PIM2 score applicability in Indian setting. Patients and Methods. Prospective observational study. Results. In 742 consecutive admissions, male : female ratio was 1.5 : 1, 35.6% patients were ventilated, observed mortality was 7%, and 26.4% were <1 year. The profile included septicemia and septic shock (29.6%), anemia (27.1%), pneumonia (19.6%), and meningitis and encephalitis (17.2%). For the first year, sensitivity of PIM2 was 65.8% and specificity was 71% for cutoff value at 1.9 by ROC curve analysis. The area under the curve was 0.724 (95% CI: 0.69, 0.76). This cutoff was validated for second year data yielding similar sensitivity (70.6%) and specificity (65%). Logistic regression analysis (LRA) over entire data revealed various variables independently associated with mortality along with PIM2 score. Another logistic model with same input variables except PIM2 yielded the same significant variables with Nagelkerke R square of 0.388 and correct classification of 78.5 revealing contribution of PIM2 in predicting mortality is meager. Conclusion. Infectious diseases were the commonest cause of PICU admission and mortality. PIM2 scoring did not explain the outcome adequately, suggesting need for recalibration. Following PALS/GEM guidelines was associated with better outcome
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