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Shahid Ali,Manzar Sohail,Riaz Ahmed,Safyan Akram Khan,Muhammad Shahid Ansari 한국공업화학회 2015 Journal of Industrial and Engineering Chemistry Vol.28 No.-
Co@Pt (Co-core, Pt-shell) 4–10 nm sized particles supported on functionalized multi-walled carbonnanotubes (MWCNTs) have been synthesized and tested as efficient catalyst in direct methanol fuel cells(DMFCs). Catalytic activity and durability of all the catalysts for methanol oxidation (MO) have beenstudied in basic medium (0.5 M KOH) using cyclic voltammetry (CV). Chronoamperometry studiesrevealed that Co@Pt/MWCNTs has significantly high efficiency and stability than both Pt/MWCNTs andCo@Pt/MWCNTs catalysts. Mass activity exhibited by Co@Pt/MWCNTs for MO is 1.61 and 3.36 timeshigher than those of Pt–Co/MWCNTs and Pt/MWCNTs, respectively.
Enhanced Magnetic Moment of Epitaxial Υ´-Fe<sub>4</sub>N Films at Low Temperature
Shahid Atiq,Murtaza Saleem,Shahid M. Ramay,Saadat A. Siddiqi,M. Sabieh Anwar,신성철 한국물리학회 2012 THE JOURNAL OF THE KOREAN PHYSICAL SOCIETY Vol.60 No.10
Ferromagnetic iron nitride has fascinated the researchers owing to its amazing magnetic properties for spintronic applications. We have prepared single phase epitaxial thin films of Υ´-Fe<sub>4</sub>N on single crystal MgO(100) substrates using dc magnetron sputtering. X-ray diffraction revealed that substrate temperature and annealing time were most important parameters for single phase epitaxial growth of the films. Atomic force microscopy and scanning electron microscopy were utilized to investigate the surface morphology of the films. Angle dependent magnetic anisotropy was observed in epitaxial thin films of Υ´-Fe<sub>4</sub>N. A superconducting interference device was utilized to explore the magnetic and electrical behavior of Υ´-Fe<sub>4</sub>N films at low temperatures.
Carbon Stock Variation in Different Forest Types of Western Himalaya, Uttarakhand
Shahid, Mohommad,Joshi, Shambhu Prasad Institute of Forest Science 2018 Journal of Forest Science Vol.34 No.2
Quantification of Carbon stock has become in the contest of changing climate and mitigation potential of forests. Two different forest types, Dry Shiwalik Sal Forest and Moist Shiwalik Sal Forest in Barkot and Lachchiwala of Doon Valley, Western Himalaya are selected for the study. Volume equations, destructive sampling and laboratory analysis are done to estimate the carbon stock in different carbon pools like trees, shrubs, herbs and soils. Considerable variations are observed in terms of carbon stocks in different forest types. In Dry Shiwalik Sal Forest, carbon stock density varied between 129.81 and $136.00MgCha^{-1}$ while in Moist Shiwalik Sal Forest, carbon stock density ranged from 222.29 to $271.67MgCha^{-1}$. Tree species like Shorea robusta, Syzigium cumini, Miliusa velutina, Acacia catechu, and Mallotus philippensis had significant role in carbon sequestration. Shorea robusta had contributed highest in carbon stock due to highest density. Total of 2,338,280.165 Mg carbon stock was estimated in all the forest types.
A Step towards the Improvement in the Performance of Text Classification
( Shahid Hussain ),( Muhammad Rafiq Mufti ),( Muhammad Khalid Sohail ),( Humaira Afzal ),( Ghufran Ahmad ),( Arif Ali Khan ) 한국인터넷정보학회 2019 KSII Transactions on Internet and Information Syst Vol.13 No.4
The performance of text classification is highly related to the feature selection methods. Usually, two tasks are performed when a feature selection method is applied to construct a feature set; 1) assign score to each feature and 2) select the top-N features. The selection of top-N features in the existing filter-based feature selection methods is biased by their discriminative power and the empirical process which is followed to determine the value of N. In order to improve the text classification performance by presenting a more illustrative feature set, we present an approach via a potent representation learning technique, namely DBN (Deep Belief Network). This algorithm learns via the semantic illustration of documents and uses feature vectors for their formulation. The nodes, iteration, and a number of hidden layers are the main parameters of DBN, which can tune to improve the classifier’s performance. The results of experiments indicate the effectiveness of the proposed method to increase the classification performance and aid developers to make effective decisions in certain domains.
Shahid Ahmed Junejo,Huihui Geng,Songnan Li,Ajeet Kumar Kaka,Alam Rashid,Yibin Zhou 한국식품과학회 2020 Food Science and Biotechnology Vol.29 No.4
Wheat bran (WB) is an abundant source of fiber, promoting the health for constipation, irritable bowel syndrome, and gastrointestinal disorders. However, the role of superfine-WB in improving the obesity, hyperglycemia, and hyperlipidemia needs to be revealed. The superfine- WB (low and high treatments) was studied on body-weight, blood sugar, serum, and liver lipids in a high-fat rat model for 5-weeks. The high-fat diet substantially increased bodyweight, sugar levels, lipids, and malondialdehyde in serum and liver. In contrast, the superfine-WB treatments reduced food and energy intake, postprandial glucose, body-weight, blood and liver cholesterol, triglycerides, malondialdehyde, low-density lipoprotein, and increased the level of highdensity lipoprotein. Additionally, when the two different concentrations were compared, the maximum impact was exhibited by the superfine-WB containing high concentration. These results suggest that the superfine-WB significantly improves the hyperglycemia, hyperlipidemia, and possibly also protecting against other acute, recurrent, or chronic diseases.
Reduced Titania Films with Ordered Nanopores and Their Application to Visible Light Water Splitting
Shahid, Muhammad,Choi, Seo-Yeong,Liu, Jingling,Kwon, Young-Uk Korean Chemical Society 2013 Bulletin of the Korean Chemical Society Vol.34 No.8
We report on the photoelectrochemical properties of partially reduced mesoporous titania thin films. The fabrication is achieved by synthesizing mesoporous titania thin films through the self-assembly of a titania precursor and a block copolymer, followed by aging and calcination, and heat-treatment under a $H_2$ (1 torr) environment. Depending on the temperature used for the reaction with $H_2$, the degree of the reduction (generation of oxygen vacancies) of the titania is controlled. The oxygen vacancies induce visible light absorption, and decrease of resistance while the mesoporosity is practically unaltered. The photoelectrochemical activity data on these films, by measuring their photocurrent-potential behavior in 1 M NaOH electrolyte under AM 1.5G 100 mW $cm^{-2}$ illumination, show that the three effects of the oxygen vacancies contribute to the enhancement of the photoelectrochemical properties of the mesoporous titania thin films. The results show that these oxygen deficient $TiO_2$ mesoporous thin films hold great promise for a solar hydrogen generation. Suggestions for the materials design for improved photoelectrochemical properties are made.