OALib Journal期刊

ISSN: 2333-9721




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匹配条件: “Syed Masudur Rahman Dewan” ,找到相关结果约5916条。
Syed Masudur Rahman Dewan,Ashraful Alam,Sayed Koushik Ahamed
International Research Journal of Pharmacy , 2013,
Abstract: The quality of a pharmaceutical product is essential to ensure the safety of the patients. Different parameters of quality control of pharmaceutical products can guarantee the quality and bioavailability and optimal therapeutic activity. Therefore, the present study was undertaken with the aim of assuring the quality and the therapeutic activity of ibuprofen tablets available in the Bangladeshi drug market. Different quality control parameters, i.e., the variation of weight, friability, content uniformity, disintegration time and dissolution profiles were assessed in vitro. To demonstrate the differences between the products, the difference (f1) and similarity (f2) data were analyzed. The results showed that all products fulfill the given specification selected by Pharmacopeia (USP-NF).
M. Ahmed, S. Koushik Ahamed, Syed Masudur Rahman Dewan, Md. Mizanur Rahman Moghal*
International Journal of Pharmaceutical Sciences and Research , 2013,
Abstract: ABSTRACT: The objective of the current study was to design an oral sustained release matrix tablet of Ramipril and to evaluate the effect of polymer on release pattern of the drug. Tablets were prepared by direct compression method using Methocel (Hydroxy Propyl Methyl Cellulose) K100MCR and Methocel (Hydroxy Propyl Methyl Cellulose) K4MCR, as matrix forming polymer. Dissolution studies were carried out in 500 ml phosphate buffer (pH 6.5) for 8 hours. The release mechanism was explored with zero order, first order, Higuchi equation and Korsmeyer's equation. The drug release followed Higuchi equation. It was found that the release of drug from matrix tablet decrease with the increasing of percentage of polymer. The two high viscosity polymers (Methocel K4MCR and Methocel K100MCR) were found suitable for the study.
Optimisation of Various Cultural Conditions on Growth and Antioxidant Activity Generation by Saccharomyces cerevisiae IFO 2373
Masudur Rahman Gazi,K. Kanda,F. Kato
Journal of Biological Sciences , 2004,
Abstract: The objective of this study was to optimise the cultural factors to enhance the production of antioxidant from Saccharomyces cerevisiae IFO 2373 (IFO 2373). Carbon and nitrogen sources of the medium were optimised along with other cultural conditions for growth and antioxidant activity generation. The antioxidant activity of the cell free extract was detected by measuring the free radical scavenging activity. Other than poly saccharide (water soluble starch), mono and di saccharide sources were observed solely responsible for antioxidant activity generation. The culture broth had higher antioxidant activity (202 u mL ha-1 ) when sucrose was used as carbon source. Polypeptone containing medium was found better for antioxidant activity generation among the tested organic and inorganic nitrogen sources. The highest antioxidant activity (296 u mL ha-1 ) was achieved at 30 C with 0.7 L min ha-1 of aeration rate. These results are promising because we succeeded in increasing the antioxidant activity almost 2.3 fold over the initial production obtained from half YPD (H-YPD) culture broth.
Optimisation of Cultural Conditions and Some Properties of Radical Scavenging Substance from Sporobolomyces salmonicolor
Masudur Rahman Gazi,Kohzo Kanda,Masaaki Yasuda,Fumio Kato
Pakistan Journal of Biological Sciences , 2004,
Abstract: Sporobolomyces salmonicolor produced high activity (101 u mL-1) in the stationary culture while cultivated in the half YPD (H-YPD) medium. This activity production was maximised while optimising cultural condition. The effects of nutrients including several carbon and nitrogen sources were assayed along with medium pH and cultivation temperature. The optimised medium consisted of 0.5% yeast extract, 1% polypepton and 1% fructose. A maximum radical scavenging activity (176 u mL-1 ) was obtained when cells were cultivated with this medium in the stationary condition for 9 days at 25 C with an initial pH of 6.0. This was 1.7-fold increase of initial production from H-YPD. The active substances were partially purified by means of ion exchange chromatography and gel filtration. Two active substances were isolated from gel filtration, namely, DG I and DG II. The molecular mass of DG I is expected to be high. The activity was stable between pH 6.0-7.0 and until 60 C for 30 min incubation. On the contrary, the molecular mass of the DG II was estimated to be 281 m/z. This substance was stable in the acidic condition (pH 4.0-6.0) and almost 90% of the initial activity was lost above pH 8.0. Its activity remained stable at 100 C for 60 min. The spectrometric analysis shows that this substance might have aromatic structure.
Treatability of Tropical Wood Using Newly Synthesized Organotin(IV) Complexes
Ismail Jusoh,Md. Masudur Rahman,Md. Abu Affan,Sinin Hamdan
Journal of Applied Sciences , 2012,
Abstract: The treatability of three tropical wood species namely Alstonia scholaris (pulai), Macaranga triloba (mahang) and Hevea brasiliensis (rubberwood) was investigated. Wood species were chemically treated with five newly synthesized organotin(IV) complexes using full-cell treatment method. This study explored whether tropical wood species could be treated successfully with newly synthesized organotin(IV) complexes as wood preservatives. Ten 19x19x19 mm sized wood cubes of each species were treated with three levels of concentration (0.1, 0.5 and 1%) of monomethyltin(IV) (MMT) and monophenyltin(IV) (MPT) of monoseries and dimethyltin(IV) (DMT), diphenyltin(IV) (DPT) and dibutyltin (IV) (DBT) of diseries organotin(IV) complexes with 2-acetylpyridine-N (4)-cyclohexyl thiosemicarbazone ligand. The treated wood species were evaluated by chemical retention values and characterized by FT-IR (Fourier Transform Infrared) spectroscopy analysis. The highest retention (10.59 kg m-3) was found in Alstonia scholaris treated with 1% DMT complexes and the lowest retention (0.47 kg m-3) was found in Hevea brasiliensis treated with 0.1% DMT complexes. FT-IR spectra of treated wood showed new absorption bands in the range of 594-606 and 441-457 cm-1 due to Sn-C and Sn-N bonds, respectively. A newly formed absorption band at range 549-569 cm-1 due to Sn-O bond was also observed in the treated wood sample spectra. Chemical retention and FTIR spectra suggest tropical wood species are treatable with newly synthesized organotin(IV) complexes as wood preservatives.
Assigning Weights to Training Instances Increases Classification Accuracy
Dr. Dewan Md. Farid,Chowdhury Mofizur Rahman
International Journal of Data Mining & Knowledge Management Process , 2013,
Abstract: The decision tree (DT) approach is most useful in classification problem. In conventional decision tree learning the weights of every training instances are set to one or equal value, which contradicts general intuition. In this paper, we proposed a new decision tree learning algorithm by assigning appropriate weights to each training instance in the training data that increases classification accuracy of the decision tree model. The main advantage of this proposed approach is to set appropriate weights to training instances using na ve Bayesian classifier before trying to construct the decision tree. In our approach the training instances are assigned to weight values based on the posterior probability. The training instances having less weight values are either noisy or posses unique characteristics compared to other traininginstances. The experimental results manifest that the proposed approach for decision tree construction can achieve high classification accuracy with compare to traditional decision tree algorithms on different types of benchmark datasets from UCI machine learning repository.
Anomaly Network Intrusion Detection Based on Improved Self Adaptive Bayesian Algorithm
Dewan Md. Farid,Mohammad Zahidur Rahman
Journal of Computers , 2010, DOI: 10.4304/jcp.5.1.23-31
Abstract: Recently, research on intrusion detection in computer systems has received much attention to the computational intelligence society. Many intelligence learning algorithms applied to the huge volume of complex and dynamic dataset for the construction of efficient intrusion detection systems (IDSs). Despite of many advances that have been achieved in existing IDSs, there are still some difficulties, such as correct classification of large intrusion detection dataset, unbalanced detection accuracy in the high speed network traffic, and reduce false positives. This paper presents a new approach to the alert classification to reduce false positives in intrusion detection using improved self adaptive Bayesian algorithm (ISABA). The proposed approach applied to the security domain of anomaly based network intrusion detection, which correctly classifies different types of attacks of KDD99 benchmark dataset with high classification rates in short response time and reduce false positives using limited computational resources.
Attribute Weighting with Adaptive NBTree for Reducing False Positives in Intrusion Detection
Dewan Md. Farid,Mohammad Zahidur Rahman
Computer Science , 2010,
Abstract: In this paper, we introduce new learning algorithms for reducing false positives in intrusion detection. It is based on decision tree-based attribute weighting with adaptive na\"ive Bayesian tree, which not only reduce the false positives (FP) at acceptable level, but also scale up the detection rates (DR) for different types of network intrusions. Due to the tremendous growth of network-based services, intrusion detection has emerged as an important technique for network security. Recently data mining algorithms are applied on network-based traffic data and host-based program behaviors to detect intrusions or misuse patterns, but there exist some issues in current intrusion detection algorithms such as unbalanced detection rates, large numbers of false positives, and redundant attributes that will lead to the complexity of detection model and degradation of detection accuracy. The purpose of this study is to identify important input attributes for building an intrusion detection system (IDS) that is computationally efficient and effective. Experimental results performed using the KDD99 benchmark network intrusion detection dataset indicate that the proposed approach can significantly reduce the number and percentage of false positives and scale up the balance detection rates for different types of network intrusions.
Role of ZnO in Dc Electrical Conductivity of Lithium Bismuthate Glasses
Shashidhar Bale,Syed Rahman
ISRN Materials Science , 2013, DOI: 10.1155/2013/126805
Abstract: Glasses of various compositions belonging to the Bi2O3-B2O3-ZnO-Li2O quaternary system were prepared using melt quench technique. Dc electric measurements were done on the samples, and activation energies are determined. Arrhenius plots showed straight line behaviour. It is observed that the conductivity of the samples increased with temperature and also with Li2O content, whereas the activation energy decreased with Li2O content. The isothermal plots for constant ZnO and constant Bi2O3 glasses revealed that the conduction in these glasses is due to lithium ions only. The isothermal plots for constant lithium containing glasses varied nonlinearly with two maxima, which is attributed to mixed former effect. The variation is explained based on Anderson-Stuart model. 1. Introduction Glasses and glass-ceramics are technologically important materials when compared with their crystalline counterparts. These materials show superior thermomechanical, electrical and other physicochemical properties, which make them suitable for use in vacuum, high-voltage, and biomedical applications [1]. Conventional glass formers such as P2O5 and TeO2 containing transitional metal ions have been studied earlier [2–5]. In recent years, bismuth-based glasses have attracted the attention of researchers due to technological applications, useful physical properties and among them bismuth borates are of interest [6–9]. The introduction of alkali ions into these glasses exhibits high electrical conductivity and can be used as solid electrolytes in high energy density batteries, sensors, and so forth [10]. Further, transition metal ion glasses based on unconventional glass network formers such as Bi2O3 and PbO have been reported [11–14]. Especially, zinc-oxide based glasses/ceramics have special applications in the area of varistor designing, dielectric layers, barrier ribs in plasma display panels, and so forth [15, 16]. In the literature, it is reported that Bi2O3 occupies both network forming and network modifying positions. Therefore, the physical properties of such glasses exhibit discontinuous changes when the structural role of the cation changes [17, 18]. Especially, efforts are made to enhance the conductivity in lithium ion conducting glasses in this way [19, 20]. There have been two main approaches to improve the conductivity of the glass. The first approach is to dissolve alkali compounds such as Li2O, LiCl, and Na2O into an oxide glass. The second strategy is to combine the network forming oxides, which is known as mixed former effect, although the reason for this is not
Architecture and Design of Medical Processor Units for Medical Networks
Syed V. Ahamed,Syed (Shawon) M. Rahman
International Journal of Computer Networks & Communications , 2010,
Abstract: This paper1 introduces analogical and deductive methodologies for the design medical processor units(MPUs). From the study of evolution of numerous earlier processors, we derive the basis for thearchitecture of MPUs. These specialized processors perform unique medical functions encoded as medicaloperational codes (mopcs). From a pragmatic perspective, MPUs function very close to CPUs. Bothprocessors have unique operation codes that command the hardware to perform a distinct chain of subprocessesupon operands and generate a specific result unique to the opcode and the operand(s). Inmedical environments, MPU decodes the mopcs and executes a series of medical sub-processes and sendsout secondary commands to the medical machine. Whereas operands in a typical computer system arenumerical and logical entities, the operands in medical machine are objects such as such as patients, bloodsamples, tissues, operating rooms, medical staff, medical bills, patient payments, etc. We follow thefunctional overlap between the two processes and evolve the design of medical computer systems andnetworks.

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