Jadavpur University

About: Jadavpur University is a education organization based out in Kolkata, India. It is known for research contribution in the topics: Population & Fuzzy logic. The organization has 10856 authors who have published 27678 publications receiving 422069 citations. The organization is also known as: JU & Jadabpur University.

Physicochemical and Conformational Studies on BSA−Surfactant Interaction in Aqueous Medium

Abstract: In this paper, results of physicochemical studies on the interaction of bovine serum albumin (BSA) with alkyltrimethylammonium bromide (ATAB), pentaethylene glycol mono-n-dodecyl ether (C12E5), and sodium dodecyl sulfate (SDS) under the experimental conditions of phosphate buffer at pH 7 in the presence of 10 mM sodium bromide (NaBr), maintaining the ionic strength of the overall solution at μ = 0.015 M, have been presented and discussed. Here, BSA−ATAB corresponds to a polyion−surfactant system bearing opposite charges. BSA precipitated out of the solution on addition of ATAB solution over a certain range of ATAB concentration, the concentration range being dependent on the particular member of the ATAB family. In our earlier reports on the precipitation of oppositely charged polymer−surfactant, the tensiometric profile for surfactant addition in polymer solution differed significantly from that expected from addition of surfactant in the dispersion medium. In the present study, the precipitation process...

A Note on an Inventory Model with Inventory-level-dependent Demand Rate

Abstract: This model discusses an infinite time-horizon deterministic inventory model without shortages, where the demand rate at any instant depends on the on-hand inventory (stock level) at that instant down to a certain stock level and then it becomes constant for the remaining period of the cycle. The decision rule for finding the optimal order quantity is also given, and three numerical examples are presented to illustrate the model developed.

Medical Image Segmentation Using Genetic Algorithms

Abstract: Genetic algorithms (GAs) have been found to be effective in the domain of medical image segmentation, since the problem can often be mapped to one of search in a complex and multimodal landscape. The challenges in medical image segmentation arise due to poor image contrast and artifacts that result in missing or diffuse organ/tissue boundaries. The resulting search space is therefore often noisy with a multitude of local optima. Not only does the genetic algorithmic framework prove to be effective in coming out of local optima, it also brings considerable flexibility into the segmentation procedure. In this paper, an attempt has been made to review the major applications of GAs to the domain of medical image segmentation.

Parametric sensitivity in transesterification of waste cooking oil for biodiesel production—A review

Abstract: Methods of pretreatment and transesterification of waste cooking oils (WCOs) to yield fatty acid alkyl esters (biodiesel) qualitatively comparable with fossil diesel fuels have been discussed. The effect of different operating and processing variables viz. reaction temperature, molar ratio of alcohol to oil, the type of alcohol used, type of catalyst used and its concentration, reaction time, presence of moisture and free fatty acids (FFA) content on transesterification and different pretreatment procedures have been thoroughly reviewed. The recent advancements involving both esterification and transesterification for enhancing the overall yield of biodiesel have been discussed.