A study on non invasive predictors of large esophageal varices using clinical, laboratory and imaging parameters.

Portal hypertension- a major hallmark of cirrhosis is defined as a portal pressure gradient exceeding 5-10 mm Hg. In portal hypertension, portosystemic collaterals decompress the portal circulation and give rise to varices. Development of esophageal varices and gastrointestinal bleeding represents a serious consequence in patients with portal hypertension. At the time of diagnosis of liver cirrhosis, esophageal varices are present in about 40% of patients with compensated disease and in 60% of those with decompensated disease and ascites. In patients with liver cirrhosis who do not have detectable esophageal varices, the latter appear at a rate of nearly 5% per year. Also, the size of varices tends to increase with time. It has been estimated that among those with small esophageal varices, nearly 12% progress to large varices annually. The annual incidence of first variceal bleeding has been estimated to be around 4% in non-selected patients with cirrhosis of the liver who have not bled previously. It has been shown that the risk of variceal bleeding is related to the size of esophageal varices, 8 with large esophageal varices being at a greater risk; this is possibly due to a higher variceal wall tension in large esophageal varices. Thus, annual incidence of gastrointestinal bleeding is only 1–2% in patients without varices, 5% in those with small esophageal varices and 15–20% in patients with large esophageal varices

Automatic detection of cyberbullying using multi-feature based artificial intelligence with deep decision tree classification

Recent studies have shown that cyberbullying is a rising youth epidemic. In this paper, we develop a novel automated classification model that identifies the cyberbullying texts without fitting them into large dimensional space. On the other hand, a classifier.cannot provide a limited convergent solution due to its overfitting problem. Considering such limitations, we developed a text classification engine that initially pre-processes the tweets, eliminates noise and other background information, extracts the selected features and classifies without data overfitting. The study develops a novel Deep Decision Tree classifier that utilizes the hidden layers of Deep Neural Network (DNN) as its tree node to process the input elements. The validation confirms the accuracy of classification using the novel Deep classifier with its improved text classification accuracy

Low incidence of positive smooth muscle antibody and high incidence of isolated IgM elevation in Chinese patients with autoimmune hepatitis and primary biliary cirrhosis overlap syndrome: a retrospective study

<p/> <p>Background</p> <p>Up to now, few data are available regarding the clinical characteristics of autoimmune hepatitis and primary biliary cirrhosis overlap syndrome. The study was to investigate and analyze the prevalent and clinical features of Chinese patients with this disease.</p> <p>Methods</p> <p>Clinical data on patients diagnosed as autoimmune hepatitis and primary biliary cirrhosis overlap syndrome in our hospital from January 2001 to December 2006 were collected and analyzed.</p> <p>Results</p> <p>Overlap syndrome of autoimmune hepatitis and primary biliary cirrhosis accounted for 10.33% of patients with autoimmune liver diseases during the past six years. For these patients with overlap syndrome, xanthochromia, lethargy and anorexia were the predominant complaints; a low incidence (14/146) of smooth muscle antibody positivity and a high incidence (37/89) of isolated IgM elevation were the main serological characteristics.</p> <p>Conclusions</p> <p>Overlap syndrome of autoimmune hepatitis and primary biliary cirrhosis was not rare in Chinese patients with clinical manifests of autoimmune liver diseases. Overlap of the diseases should not be disregarded when isolated IgM elevation was exhibited, and smooth muscle antibody might have little diagnostic significance in the overlap syndrome. If it was difficult to make a definite diagnosis, liver biopsy was necessary.</p

Portrayal of Guru in Bible and Siddhar Literature

Both in the History of Tamil Literature and Tamil Religions thinking Research emphasis the teachings of siddhars in the prime place. Theywere great in the field of medicine, chemistry, astrology, astronomy there also very skilled in the art of mandharas and Yogas. Through their songs revealed the ‘Guru’ concept and this Guru concept of the Bible very hand in a hand. Siddhars emphasis that a real or true ‘Guru’ must be God himself and he need to born as a man and teach the followers a good way the same teaching also found in the Bible. Jesus God himself born as a ‘Guru’ and thought his students or followers the eternal way of or path of eternal life

Conventional Pyrolysis of Corn Stover, Prairie Cord Grass, and Big Blue Stem Using Batch-type Pyrolysis Unit

This research was done with a broad intention of developing a batch-type conventional pyrolysis unit for producing two major products called bio-oil and bio-char from different feedstock, evaluating the properties of the bio-oils and bio-chars, and improving the properties of the bio-oils. The feedstock parameters in the various experimental studies included: Types of feedstock (corn stover, prairie cord grass, and big blue stem), particle sizes of feedstock (2, 4, 6, and 8 mm) and moisture contents of the feedstock (5, 10, and 15 %wb). The furnace and other parameters included: pyrolysis temperatures (300, 400, 500, and 600°C), pyrolysis heating rates (20, 30, and 40°Cmin-1), and methanol level (10, 20 and 30%). In the first study, the effect of types of feedstock, pyrolysis temperatures, and pyrolysis heating rates on the yield and properties of the bio-oils, and bio-chars were determined. The properties of the bio-oils obtained from this study have exhibited lower density, lower pH level, lower ash content, and viscosity value closer to diesel fuel which indicates that it can be desirable. As a second part of this research, the effect of particle sizes of the feedstock, types of feedstock, and pyrolysis temperature on the yield and properties of the bio-oils, and bio-chars were determined. In the overall analysis, the particle sizes of the feedstock and types of feedstock have shown no significant difference on the yield of the bio-oil and bio-char. The third part of this research was conducted with the intention of evaluating the influence of moisture contents of the feedstock and types of feedstock on the yield, and properties of bio-oils and bio-char. Overall, the experimental results of this study have shown that the effect of moisture content of the feedstock and types of the feedstock exhibited minimum influence on the properties of the products. The final part of the study was to determine the influence of methanol proportions on the properties of the bio-oil from different feedstock. As a whole, methanol mixtures with the bio-oils resulted in desirable bio-oil properties: a lower density of 0.84gcc-1, a higher pH of 3.91, a lower ash content of 0.04 %, a lower viscosity value of .001 Pa s, and a lower heating value of 18.5 MJkg-1

Abundance and diversity of Odonata in temporary water bodies of Coimbatore and Salem districts in Tamil Nadu

Odonata diversity was assessed in 13 temporary water bodies of Coimbatore and Salem districts in Tamil Nadu. Assessment revealed the presence of 21 species of Odonata (14 species of Anisoptera and seven species of Zygoptera) belonging to 17 genera under four families. Libellulidae (Anisoptera) was represented by the maximum number of species and individuals. Pantala flavescens (Libellulidae) was the most abundant among 21 species. Among the temporary water bodies, the maximum number of individuals as well as species was recorded from Utkulam tank (Coimbatore district). Odonata diversity was higher in Kamalapuram tanks 1 and 2 (Salem district) and lower in Ukkadam tank (Coimbatore District). Diplacodes trivialis (Rambur), Orthetrum sabina (Drury) and Pantala flavescens (Fabricius) were identified as temporary water body specialists because of their presence in all the 13 temporary water bodies sampled

On the Variable Order Fractional Calculus Characterization for the Hidden Variable Fractal Interpolation Function

In this study, the variable order fractional calculus of the hidden variable fractal interpolation function is explored. It extends the constant order fractional calculus to the case of variable order. The Riemann–Liouville and the Weyl–Marchaud variable order fractional calculus are investigated for hidden variable fractal interpolation function. Moreover, the conditions for the variable fractional order μ on a specified range are also derived. It is observed that, under certain conditions, the Riemann–Liouville and the Weyl–Marchaud variable order fractional calculus of the hidden variable fractal interpolation function are again the hidden variable fractal interpolation functions interpolating the new data set