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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>
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.
Abdul Razzaq Ghumman,Husnain Haider,Ibrahim Saleh Al Salamah,MD Shafiquzzaman,Abdullah Alodah,Mohammed Alresheedi,Rashid Farooq,Afzal Ahmed,Ghufran Ahmed Pasha 대한토목학회 2024 KSCE Journal of Civil Engineering Vol.28 No.8
Artificial Intelligence (AI) techniques, such as Artificial Neural Networks (ANN) and Adaptive Neuro-Fuzzy Inference Systems (ANFIS), and dimensional analysis-based empirical equations (DAEEs), can estimate scour depth around bridge piers. AI’s accuracy depends on various architectures, while DAEEs’ performance depends on experimental data. This study evaluated the performance of AI and DAEEs for scour depth estimation using flow velocity, depth, size of bed sediment, critical approach velocity, and pier width. The data from a smooth rectangular (20 m × 1 m) flume and a high-precision particle image velocimetry to study the flow structurearound the pier - width: 1.5 − 91.5 cm evaluated DAEEs. Various ANNs (5, 10, and 15 neurons), double layer (DL) and triple layers (TL), and different ANFIS settings were trained, tested, and verified. The Generalized Reduced Gradient optimization identified the parameters of DAEEs, and Nash–Sutcliffe efficiency (NSE) and Mean Square Error (MSE) evaluated the performance of different models. The study revealed that DL ANN-3 with 10 neurons (NSE = 0.986) outperformed ANFIS, other ANN (ANN1, ANN2, ANN4 & ANN5) models, and empirical equations with NSE values between 0.76 and 0.983. The study found pier dimensions to be the most influential parameter for pier scour.