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Karim, Md. Rezaul,Rashid, Md. Mamunur,Jeong, Byeong-Soo,Choi, Ho-Jin Korea Genome Organization 2012 Genomics & informatics Vol.10 No.1
Mining interesting patterns from DNA sequences is one of the most challenging tasks in bioinformatics and computational biology. Maximal contiguous frequent patterns are preferable for expressing the function and structure of DNA sequences and hence can capture the common data characteristics among related sequences. Biologists are interested in finding frequent orderly arrangements of motifs that are responsible for similar expression of a group of genes. In order to reduce mining time and complexity, however, most existing sequence mining algorithms either focus on finding short DNA sequences or require explicit specification of sequence lengths in advance. The challenge is to find longer sequences without specifying sequence lengths in advance. In this paper, we propose an efficient approach to mining maximal contiguous frequent patterns from large DNA sequence datasets. The experimental results show that our proposed approach is memory-efficient and mines maximal contiguous frequent patterns within a reasonable time.
Analysis of Marginal Count Failure Data by using Covariates
Karim, Md.Rezaul,Suzuki, Kazuyuki The Korean Reliability Society 2003 International Journal of Reliability and Applicati Vol.4 No.2
Manufacturers collect and analyze field reliability data to enhance the quality and reliability of their products and to improve customer satisfaction. To reduce the data collecting and maintenance costs, the amount of data maintained for evaluating product quality and reliability should be minimized. With this in mind, some industrial companies assemble warranty databases by gathering data from different sources for a particular time period. This “marginal count failure data” does not provide (i) the number of failures by when the product entered service, (ii) the number of failures by product age, or (iii) information about the effects of the operating season or environment. This article describes a method for estimating age-based claim rates from marginal count failure data. It uses covariates to identify variations in claims relative to variables such as manufacturing characteristics, time of manufacture, operating season or environment. A Poisson model is presented, and the method is illustrated using warranty claims data for two electrical products.
Md. Rezaul Karim,최호진,Md. Mamunur Rashid,정병수 한국유전체학회 2012 Genomics & informatics Vol.10 No.1
Mining interesting patterns from DNA sequences is one of the most challenging tasks in bioinformatics and computational biology. Maximal contiguous frequent patterns are preferable for expressing the function and structure of DNA sequences and hence can capture the common data characteristics among related sequences. Biologists are interested in finding frequent orderly arrangements of motifs that are responsible for similar expression of a group of genes. In order to reduce mining time and complexity, however, most existing sequence mining algorithms either focus on finding short DNA sequences or require explicit specification of sequence lengths in advance. The challenge is to find longer sequences without specifying sequence lengths in advance. In this paper, we propose an efficient approach to mining maximal contiguous frequent patterns from large DNA sequence datasets. The experimental results show that our proposed approach is memory-efficient and mines maximal contiguous frequent patterns within a reasonable time.
Md Rezaul Karim,Thi Hiep Han,Sandesh Y. Sawant,심재진,이문용,김우경,김종수,조무환 한국화학공학회 2020 Korean Journal of Chemical Engineering Vol.37 No.7
This paper reports the simultaneous synthesis of gold nanoparticles (AuNPs) with a spherical and stable structure using microbial fuel cell (MFC) biofilms. The green, facile, chemical stabilizers and capping-agent free AuNPs synthesis allow the binder-free in situ decoration of AuNPs on MFC anode electrode with the help of special interactions of biofilm. The MFC with AuNPs decorated carbon foam anode electrode produced 62.5% higher (46.37Wm3) power density than that of the MFC equipped with plain carbon foam anode (control). The AuNPs facilitated the good adhesion of bacteria, amplified the conductivity, and reduced the internal resistance, resulting in improved overall MFC performance. In addition, the peroxide-mimicking activity was evaluated and the MFC-synthesized AuNPs exhibited significantly higher peroxidase mimicking activity than the chemically synthesized AuNPs, thereby, allowing the easy and rapid colorimetric detection of hydrogen peroxide with a detection limit of 20 M.
Ayesha Siddika,Tasnim Zahan,Lipy Khatun,Md. Rowshanul Habib,Md. Abdul Aziz,A. R. M. Tareq,Md. Habibur Rahman,Md. Rezaul Karim 한국식품과학회 2020 Food Science and Biotechnology Vol.29 No.9
This study was designed to evaluate the antioxidantactivity of methanol extract of Averrhoa carambollaLinn. leaves (MELA) using DPPH˙ and ABTS˙+ free radicalscavenging assays whereas its antineoplastic effectagainst Ehrlich ascites carcinoma (EAC) was assed usingviable cell count, life span, body weight gain and hematologicalparameters of experimental mice. Results showedthat rich phenolic and flavonoid content of MELA hadmoderate dose dependent free radical scavenging activity(IC50: 62.0 lg/mL for DPPH˙ and 6.0 lg/mL for ABTS˙+). In vivo antineoplastic assay, MELA significantly(P\0.05) decreased viable cells and body weight gain,increased the survival time and restored altered hematologicalprofiles of cancer cell bearing mice. Fluorescencemicroscopic view of EAC cells derived from MELA-treatedgroup showed apoptotic characteristics and this observationwas also supported by overexpression of proapoptoticgenes coding p53 and Bax proteins in treatedcancer cells. The anti-apoptotic genes coding Bcl-2 proteinwas also absent in treated EAC cells as compared with thecontrol. Moreover, phytochemical profiles of MELA asidentified by GC/MS analysis are also consistent with itsactivities.
Efficient Mining of Interesting Patterns in Large Biological Sequences
Md. Mamunur Rashid,최호진,Md. Rezaul Karim,정병수 한국유전체학회 2012 Genomics & informatics Vol.10 No.1
Pattern discovery in biological sequences (e.g., DNA sequences)is one of the most challenging tasks in computational biology and bioinformatics. So far, in most approaches, the number of occurrences is a major measure of determining whether a pattern is interesting or not. In computational biology, however, a pattern that is not frequent may still be considered very informative if its actual support frequency exceeds the prior expectation by a large margin. In this paper, we propose a new interesting measure that can provide meaningful biological information. We also propose an efficient index-based method for mining such interesting patterns. Experimental results show that our approach can find interesting patterns within an acceptable computation time.
Synthesis of core-shell silver–polyaniline nanocomposites by gamma radiolysis method
Karim, Mohammad Rezaul,Lim, Kwon Taek,Lee, Chul Jae,Bhuiyan, Md Tauhidul Islam,Kim, Hee Jin,Park, Lee-Soon,Lee, Mu Sang Wiley Subscription Services, Inc., A Wiley Company 2007 Journal of polymer science Part A, Polymer chemist Vol.45 No.24
<P>Core-shell silver (Ag)–polyaniline (PAni) nanocomposites have been synthesized by the in-situ gamma radiation-induced chemical polymerization method. Aqueous solution of aniline, a free-radical oxidant, and/or silver metal salt were irradiated by γ-rays. Reduction of the silver salt in aqueous aniline leads to the formation of silver nanoparticles which in turn catalyze oxidation of aniline to polyaniline. The resultant Ag-PAni nanocomposites were characterized by using different spectroscopy analyses like X-ray photoelectron, UV–visible, and infrared spectroscopy. The optical absorption bands revealed that the bands at about 400 nm are due to the presence of nanosilver and the blue-shifted peak at ∼ 555 nm is due to the presence of metallic silver within the PAni matrix. X-ray diffraction pattern clearly indicates the broad amorphous polymer and the sharp metal peaks. Scanning electron microscopy and transmission electron microscopy of the nanocomposite showed a uniform size distribution with spherical and granular morphology. Thermogravimetric analysis revealed that the composites have a higher degradation temperature than polyaniline alone. © 2007 Wiley Periodicals, Inc. J Polym Sci Part A: Polym Chem 45: 5741–5747, 2007</P> <B>Graphic Abstract</B> <P>Inside metal (core) and outside polyaniline (shell) nanocomposites have been synthesized by the in-situ gamma radiation-induced chemical polymerization method. The resultant nanocomposites indicated that no chemical interaction occurred between the metal and polymer, only the metallic silver was encapsulated in the cores of the growing polymer chains, resulting in the formation of core-shell silver–polyaniline (Ag-PAni) hybrid materials. Finally, the Ag-PAni nanocomposites showed improved optical, thermal, and electrical properties compared with the bulk PAni homopolymer.</P><P> <img src='wiley_img/0887624X-2007-45-24-POLA22323-gra001.gif' alt='wiley_img/0887624X-2007-45-24-POLA22323-gra001'> </P>
Efficient Mining of Interesting Patterns in Large Biological Sequences
Rashid, Md. Mamunur,Karim, Md. Rezaul,Jeong, Byeong-Soo,Choi, Ho-Jin Korea Genome Organization 2012 Genomics & informatics Vol.10 No.1
Pattern discovery in biological sequences (e.g., DNA sequences) is one of the most challenging tasks in computational biology and bioinformatics. So far, in most approaches, the number of occurrences is a major measure of determining whether a pattern is interesting or not. In computational biology, however, a pattern that is not frequent may still be considered very informative if its actual support frequency exceeds the prior expectation by a large margin. In this paper, we propose a new interesting measure that can provide meaningful biological information. We also propose an efficient index-based method for mining such interesting patterns. Experimental results show that our approach can find interesting patterns within an acceptable computation time.