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- 저자 : Irfan, Muhammad (검색결과 432 건)
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Irfan Waris Muhammad,Muhammad Kaleem Ullah Rana,Wang Man-Qun 한국응용곤충학회 2023 Journal of Asia-Pacific Entomology Vol.26 No.3
The insect olfactory system is sensitive to the complicated chemical environment. Insect’s chemosensory proteins (CSPs) supposedly act as transport of plant volatiles across the sensillar lymph and competitive fluorescent binding assay was commonly used to test the binding affinities with various plant volatiles. However, extensive research to determine the physiological role of CSPs is necessary and helpful through binding interaction of a protein with the plant volatiles. In this comparative study, we employed phylogenetic analysis, fluorescence spectra, quenching mode, and thermodynamic force to characterize Nilaparvata lugens CSP3 (NlugCSP3). The phylogenetic tree revealed that amino acid sequence of NlugCSP3 showed extremely close similarities with Laodelphax striatella (LstrCSP10 & LstrCSP11) and Sogatella furcifera (SurCSP3). The Stern-Volmer (SV) curve of NlugCSP3 fluorescence quenching indicated that nonadecane and 2-tridecanone clearly quenched NlugCSP3 fluorescence as a stable static quenching mode. Meanwhile, α-terpinene and farnesene collided with NlugCSP3, instead of forming stable complexes. The thermodynamic analysis of NlugCSP3 revealed that spontaneous binding interaction occurred in nonadecane and 2-tridecanone and is driven primarily by hydrophobic in teractions. This study not only provides the information about the binding interaction of protein with the vol atiles, but also improves the efficient recognition of behaviorally elicited volatiles that could be used in the management of brown planthopper.
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Development of Optical Fiber-based Daylighting System with Uniform Illumination
Irfan Ullah,신서용 한국광학회 2012 Current Optics and Photonics Vol.16 No.3
Daylighting has a very effective role in reducing power consumption and improving indoor environments in office buildings. Previously, it was not under consideration as a major source of renewable energy due to poor reliability in the design. Optical fiber as a transmission medium in the daylighting system demands uniform distribution of light to solve cost, heat, and efficiency issues. Therefore, this study focuses on the uniform distribution of sunlight through the fiber bundle and to the interior of the building. To this end, two efficient approaches for the fiber-based daylighting system are presented. The first approach consists of a parabolic mirror, and the second approach contains a Fresnel lens. Sunlight is captured, guided, and distributed through the concentrator, optical fibers, and lenses, respectively. At the capturing stage, uniform illumination solves the heat problem, which has critical importance in making the system cost-effective by introducing plastic optical fibers. The efficiency of the system is increased by collimated light, which helps to insert maximum light into the optical fibers. Furthermore, we find that the hybrid system of combining sunlight and light emitting diode light gives better illumination levels than that of traditional lighting systems. Simulation and experimental results have shown that the efficiency of the system is better than previous fiber-based daylighting systems.
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Byzantine Monuments in Mediterranean in the Light of Cultural Heritage
Irfan Ozcan,Sevcan Yıldız,Pınar Celik 세계문화관광학회 2010 Conference Proceedings Vol.11 No.0
Cultural heritage can be defined as the most important heritage which are abstract or concrete and left from ancient societies. Concrete heritage mostly include cities, monuments, statues and castles. On the other hand abstract heritage is about culture. The interaction between culture and development has complicated and dynamic structure. Culture is formed by beliefs, values, behaviours, traditions which affect the social life style of a society. Cultural heritage gains different experiences by interacting with other societies along with the modernization and urbanization. Thus conserving cultural heritage is vitally important. In this study the importance of conservation from different sides will be emphasised and concrete Byzantine Monuments in Mediterranean Region will be studied by the help of secondary data. In this context the monuments in Turkey are determined and Byzantine cultural heritage was analysed in the borders of Mediterranean Region. Besides the importance of cultural heritage for societies is emphasised, the ideas of local authorities, local people, and visitors‘ ideas about the cultural heritage sites are mentioned and finally some suggestions are made.
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Anti-platelet role of Korean ginseng and ginsenosides in cardiovascular diseases
Irfan, Muhammad,Kim, Minki,Rhee, Man Hee The Korean Society of Ginseng 2020 Journal of Ginseng Research Vol.44 No.1
Cardiovascular diseases prevail among modern societies and underdeveloped countries, and a high mortality rate has also been reported by the World Health Organization affecting millions of people worldwide. Hyperactive platelets are the major culprits in thrombotic disorders. A group of drugs is available to deal with such platelet-related disorders; however, sometimes, side effects and complications caused by these drugs outweigh their benefits. Ginseng and its nutraceuticals have been reported to reduce the impact of thrombotic conditions and improve cardiovascular health by antiplatelet mechanisms. This review provides (1) a comprehensive insight into the available pharmacological options from ginseng and ginsenosides (saponin and nonsaponin fractions) for platelet-originated cardiovascular disorders; (2) a discussion on the impact of specific functional groups on the modulation of platelet functions and how structural modifications among ginsenosides affect platelet activation, which may further provide a basis for drug design, optimization, and the development of ginsenoside scaffolds as pharmacological antiplatelet agents; (3) an insight into the synergistic effects of ginsenosides on platelet functions; and (4) a perspective on future research and the development of ginseng and ginsenosides as super nutraceuticals.
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Irfan Ahmad Bhat,Rupam Sharma,Mohd Ashraf Rather,Pravesh Kumar Rathor,P. Gireesh‑Babu,Mukunda Goswami,J. K. Sundaray 한국유전학회 2017 Genes & Genomics Vol.39 No.9
The steroidogenic acute regulatory protein (StAR) plays a key role in transferring cholesterol across the inner mitochondrial membrane. In this study, the StAR gene was isolated from the gonads of Clarias batrachus. The gene has an open reading frame of 857 bp and encodes 285 amino acids with a predicted molecular weight of 32 kDa. The signalP analysis predicted that StAR would be a non-secreted protein that lacks a signal peptide. The subcellular localization demonstrated that the presence of the StAR protein was higher in mitochondria (41.8%), followed by the nuclear region (37.1%) and cytoplasm (11.1%). The StAR protein was found to interact highly with cyp11a1, followed by the cytochrome P450 family 11 proteins and the START5 domain. The homology modelling revealed that the protein has 4 helices and twisted U-shaped 10 beta sheets numbered from αA to αD and β1 to β10, respectively. Molecular modelling analysis showed that resveratrol and eurycomanone has high binding affinity with the StAR protein. The C. batrachus StAR transcript was found to be expressed exclusively in the gonads, kidney, and liver. These results overall lay a solid foundation for understanding the structure of StAR protein in fish. The identification of 3D structures and binding sites will help in designing a structure-based drug of StAR agonists for the treatment of impaired steroidogenesis.
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AutoFe-Sel: A Meta-learning based methodology for Recommending Feature Subset Selection Algorithms
Irfan Khan,Xianchao Zhang,Ramesh Kumar Ayyasamy,Rahman Ali 한국인터넷정보학회 2023 KSII Transactions on Internet and Information Syst Vol.17 No.7
Automated machine learning, often referred to as "AutoML," is the process of automating the time-consuming and iterative procedures that are associated with the building of machine learning models. There have been significant contributions in this area across a number of different stages of accomplishing a data-mining task, including model selection, hyper-parameter optimization, and preprocessing method selection. Among them, preprocessing method selection is a relatively new and fast growing research area. The current work is focused on the recommendation of preprocessing methods, i.e., feature subset selection (FSS) algorithms. One limitation in the existing studies regarding FSS algorithm recommendation is the use of a single learner for meta-modeling, which restricts its capabilities in the meta-modeling. Moreover, the meta-modeling in the existing studies is typically based on a single group of data characterization measures (DCMs). Nonetheless, there are a number of complementary DCM groups, and their combination will allow them to leverage their diversity, resulting in improved meta-modeling. This study aims to address these limitations by proposing an architecture for preprocess method selection that uses ensemble learning for meta-modeling, namely AutoFE-Sel. To evaluate the proposed method, we performed an extensive experimental evaluation involving 8 FSS algorithms, 3 groups of DCMs, and 125 datasets. Results show that the proposed method achieves better performance compared to three baseline methods. The proposed architecture can also be easily extended to other preprocessing method selections, e.g., noise-filter selection and imbalance handling method selection.
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