82 research outputs found

    Rheology And Dynamics Of Ph–Responsive Microgel Systems

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    The colloidal phenomenon of soft particles is an important field of research due to the growing interest in a variety of important systems found in biological science, such as vesicles, bi-layers, membranes, and living cells. Synthetic mono-dispersed colloida l suspensions in the nano to micron size range are increasingly becoming important model systems for the study of a variety of phenomena observed in soft condensed matter physics, such as glass transitions and crystal nucleation. In order to understand the behavior of these complex systems, we need to elucidate the relationship between the microscopic and macroscopic properties of these systems. In this presentation, we report on a study of a microgel system that offers us a platform to understand these relationships, and the physical forces that control their behavior. Please click Additional Files below to see the full abstract

    Sequential constructive algorithm incorporate with fuzzy logic for solving real world course timetabling problem

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    Sequential constructive algorithm is one of the popular methods for solving timetabling problems. The concept of the algorithm is to assign event based on their difficulty value by using different sequential heuristic. The most common sequential heuristics are largest enrolment, largest degree and saturation degree. Each sequential heuristic has its own criteria to obtain events’ difficulty value. Instead of single sequential heuristic, this paper presents to use fuzzy logic to consider multiple sequential heuristics in order to obtain the difficulty value of the events. The proposed method will be used to generate feasible solution as well as improve the quality of the solution. Another objective of this paper is to tackle a real world course timetabling problem from Universiti Malaysia Sabah Labuan International Campus (UMSLIC). Currently, UMSLIC generates course timetable manually which is very time consuming and ineffective.The experimental results show that the proposed method is able to produce better quality of solution less than one minute. In terms of quality of timetable and efficiency, the proposed method is outperforming UMSLIC’s manual method

    DSIM: A Distance-Based Indexing Method for Genomic Sequences

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    10.1109/BIBE.2005.24Proceedings - BIBE 2005: 5th IEEE Symposium on Bioinformatics and Bioengineering200597-10

    Purification of rabbit polyclonal immunoglobulin G with ammonium sulphate precipitation and mixed-mode chromatography

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    Immunoglobulins G (IgG) against hepatitis B core antigen (HBcAg) was successfully purified using a purification scheme comprising ammonium sulphate precipitation and SepFast™ MM AH-1 column chromatography. Ammonium sulphate precipitation performed at 40% saturation was optimum in terms of the recovered polyclonal IgG concentration (7.8 mg/ml) and the removal of albumin (72%). The yield, purity and purification factor achieved from this simple purification method were 99%, 94% and 7.8, respectively. The IgG recovered from ammonium sulphate precipitation was subjected to SepFast™ MM AH-1 column chromatography and the purity of IgG was further increased to 98%, corresponding to a purification factor of 8.1. Protein aggregation was also reduced significantly in the purified IgG sample. Furthermore, the salt content in the purified sample was reduced by 75% and therefore the need of desalting final product was eliminated. Enzyme-linked immunosorbent assay (ELISA) showed that the antigenicity of anti-HBcAg IgG obtained after these purification processes was maintained

    Cohort Query Processing

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    ABSTRACT Modern Internet applications often produce a large volume of user activity records. Data analysts are interested in cohort analysis, or finding unusual user behavioral trends, in these large tables of activity records. In a traditional database system, cohort analysis queries are both painful to specify and expensive to evaluate. We propose to extend database systems to support cohort analysis. We do so by extending SQL with three new operators. We devise three different evaluation schemes for cohort query processing. Two of them adopt a non-intrusive approach. The third approach employs a columnar based evaluation scheme with optimizations specifically designed for cohort query processing. Our experimental results confirm the performance benefits of our proposed columnar database system, compared against the two non-intrusive approaches that implement cohort queries on top of regular relational databases
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