Primary Signet-Ring Carcinoma (Linitus Plastica) of the Colorectum presenting as Subacute Intestinal Obstruction

Primary Signet-ring cell carcinoma (Linitus Plastica) of the colon and rectum is a rare form of adenocarcinoma of the large intestine and has been reported to have an extremely poor prognosis. We report a case of Primary Signet-ring cell carcinoma of the colorectum in a thirty one year old man presented in Surgical OPD of our hospital with chief complaints of persistent pain in abdomen and vomiting since two days. Since the prognosis of primary signet ring cell carcinoma (SRCC) is extremely poor (in view of more malignant behavior than ordinary colorectal carcinoma), early diagnosis and aggressive treatment strategy are necessary

FORMULATION DEVELOPMENT AND EVALUATION OF 5-FLUROURASIL AND ECONAZOLE GEL USING RICE BRAN WAX

Besides delivering drug to the body, a drug delivery system aims to improve patient compliance, patient acceptance. The dosage forms available for the delivery of topical agents include ointment, paste, lotion, moisturizing cream and powder. However, Gel is more preferable due to their properties. Present research work is attempted to develop gel by using rice bran wax. Rice bran wax is the vegetable wax extracted from rice bran oil. The oil generally contains 2–6% wax. However it is assumed that on an average it contains 3% wax. Physicochemical tests such as globule size, evaluation of the intrinsic viscosity and homogeneity of Gel products, have been traditionally used to provide reasonable evidence of consistent product performance. However, for the purposes of these studies, the final gel products were characterized for their clarity, pH, viscosity, spread ability, skin irritation test and in vitro diffusion studies using standard procedure. All the results match with official specifications. Keywords: Gel, Rice Bran Wax, Econazole, 5-Fluorouracil Â

Emulsification and oil degradation by marine bacteria

78-79Oil emulsifying and solubilizing (ES) factors were isolated from the seawater medium inoculated with different marine bacterial isolates. Oil degradation was slow in first 2 days and on 3rd day 87-94% of oil was degraded by different bacterial isolates. Crude ES factor, which was whitish and gummy in texture, was able to solubilize various hydrocarbons and oil

Hybrid intelligent systems for detecting network intrusions

This paper intends to develop some novel hybrid intelligent systems by combining naïve Bayes with decision trees (NBDT) and by combining non-nested generalized exemplar (NNge) and extended repeated incremental pruning (JRip) rule-based classifiers (NNJR) to construct a multiple classifier system to efficiently detect network intrusions. We also use ensemble design using AdaBoost to enhance the detection rate of the proposed hybrid system. Further, to have a better overall detection, we propose to combine farthest first traversal (FFT) clustering with classification techniques to obtain another two hybrid methods such as DTFF (DT + FFT) and FFNN (NNge + FFT). Finally, we use Bayesian belief network with Tabu search combined with NNge for better detection rate. Because most of the anomaly detection uses binary labels, that is, anomaly or normal, without discussing more details about the attack types, we perform two-class classification for our proposed methodologies in this paper. Substantial experiments are conducted using NSL-KDD dataset, which is a modified version of KDD99 intrusion dataset. Finally, empirical results with a detailed analysis for all the approaches show that hybrid classification with clustering DTFF provides the best anomaly detection rate among all others.Web of Science8162749274