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Razzaq, A.,Grimes, C.A.,In, S.I. Pergamon Press ; Elsevier Science Ltd 2016 Carbon Vol.98 No.-
<P>One-dimensional TiO2 nanotubes arrays (TNT) are the subject of great current interest among the photocatalysis research community, however the relatively large bandgap that provides TiO2 with its excellent corrosion stability severely limits its absorption of solar spectrum energy. To increase the optical absorption of TiO2 while maintaining its otherwise commendable properties a number of approaches have been investigated including doping with non-metal or noble metal co-catalysts such as platinum, coupling with low band gap semiconductors, and the synthesis of carbon-based TiO2 composites. During the past few years graphene-based TiO2 nanostructures have been found to offer improved photoelectrochemical properties, with graphene enhancing light absorption as well as promoting rapid charge transfer. With the aim of replacing expensive noble metal co-catalysts, herein we report a noble metal-free novel nanostructured photocatalytic material fabricated using a facile synthesis approach, comprising a one-dimensional array of TNT covered with a reduced graphene oxide-TiO2 nanoparticles (rGO-TiO2 NP) composite. The novel nanostructure exhibits significantly improved photocurrent density and photochemical activity via conversion of CO2 into methane under simulated solar light irradiation. The improved performance appears due to the combined effect of enhanced light absorption and effective charge separation promoted by the rGO. (C) 2015 Elsevier Ltd. All rights reserved.</P>
Efficient Cluster Head Positioning with Adaptive Weight Function in Wireless Sensor Network
Madiha Razzaq,Seokjoo Shin 한국통신학회 2019 한국통신학회 학술대회논문집 Vol.2019 No.1
Wireless sensor networks (WSNs) consist of several wireless sensor nodes which have limited transmission power and processing capabilities. Clustering schemes are considered to be an energy-efficient technique to improve network lifetime. This paper proposes a scheme which considers K-means clustering in cluster formation phase to organize sensor nodes in the form of clusters in the network field. Once clusters are formed, CH selection process starts in which two weight functions are calculated for each cluster. These functions are compared to select a CH for particular round. Additionally, an adaptive weight factor is proposed in the paper to promote efficient CH placement in the cluster. Simulation results show that the proposed scheme achieves better CH placement and also supports scalability.
Maria Razzaq,Ji Ho Han,Subramaniyam Ravichandran,Jaehyun Kim,Joon-Yong Bae,Man-Seong Park,Shrute Kannappan,Woo-Chang Chung,Jin-Hyun Ahn,Moon Jung Song,Kyeong Kyu Kim 대한약학회 2023 Archives of Pharmacal Research Vol.46 No.7
The G-quadruplex (G4) formed in single-stranded DNAs or RNAs plays a key role in diverse biological processes and is considered as a potential antiviral target. In the genome of severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2), 25 putative G4-forming sequences are predicted; however, the effects of G4-binding ligands on SARS-CoV-2 replication have not been studied in the context of viral infection. In this study, we investigated whether G4-ligands suppressed SARS-CoV-2 replication and whether their antiviral activity involved stabilization of viral RNA G4s and suppression of viral gene expression. We found that pyridostatin (PDS) suppressed viral gene expression and genome replication as effectively as the RNA polymerase inhibitor remdesivir. Biophysical analyses revealed that the 25 predicted G4s in the SARS-CoV-2 genome formed a parallel G4 structure. In particular, G4-644 and G4-3467 located in the 5′ region of ORF1a, formed a G4 structure that could be effectively stabilized by PDS. We also showed that PDS significantly suppressed translation of the reporter genes containing these G4s. Taken together, our results demonstrate that stabilization of RNA G4s by PDS in the SARS-CoV-2 genome inhibits viral infection via translational suppression, highlighting the therapeutic potential of G4-ligands in SARS-CoV-2 infection.
( Abdul Razzaq ),김현우,인수일 한국공업화학회 2014 한국공업화학회 연구논문 초록집 Vol.2014 No.1
TiO<sub>2</sub>-SiO<sub>2</sub> mixed oxide photocatalyst materials responsive to simulated solar light illumination have been synthesized by sol-gel method in various polar and nonpolar organic solvent mixtures. The photocatalysts were characterized by numerous experimental techniques and investigated for the photocatalytic conversion of CO<sub>2</sub> to CH<sub>4</sub>. The TiO<sub>2</sub>-SiO<sub>2</sub> mixed oxide photocatalysts prepared in the presence of nonpolar aromatic solvents such as xylene, toluene or benzene along with ethanol show high surface area, huge mesoporosity and enormous pore volume compared to the materials conventionally synthesized in a mixture of ethanol and hexane. The TiO<sub>2</sub>-SiO<sub>2</sub> mixed oxide photocatalyst prepared in benzene along with ethanol yield 21.0 ppm g-1 h-1 of methane production; however the material synthesized in hexane shows negligible amount of methane production under simulated solar light irradiation. These results indicate that aromatic nonpolar solvents can tune the textural properties of photocatalysts compared to non-polar aliphatic solvents.
Image Scene Classification of Multiclass
Abdur Razzaq Fayjie,Guangxing Wang,Kwang-Seong Shin,Seong-Yoon Shin 한국정보통신학회 2021 2016 INTERNATIONAL CONFERENCE Vol.12 No.1
In this paper, we proposed a multiclass image scene classification method based on transform learning. It relied on a pre-trained network model on the ImageNet large image dataset to classify multiclass of natural scene images. In the experiment, the optimized the ResNet model was classified on Kaggle"s Intel Image Classification dataset and achieved excellent results.