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| 1 | Antioxidant and antipyretic properties of methanolic extract of Amaranthus spinosus leaves显示文摘Objective:Methanolic extract of Amaranthus spinosus(A.spinosus) leaves was screened for antioxidant and antipyretic activities.Methods:Antioxidant activity was measured by l,l-diphenyl-2-picryl-hydrazile(DPPH) free radical scavenging,superoxide anion radical scavenging,hydroxyl free radical scavenging,nitric oxide radical scavenging,2,2 -azinobis-3- ethylbenzothiazole-6-sulfonic acid(ABTS) radical scavenging assays and total phenolic content was also determined.Antipyretic activity of methanolic extract of A.spinosus was measured by yeast induced pyrexia method at concentration of 200 and 400 mg/kg using paracetamol as standard drug.Results:Methanolic extract of A.spinosus showed potent antioxidant activity.The IC50 value was(87.50±3.52)μg/mL,(98.80±1.40)μg/mL,(106.25±0.20)μg/mL,(88.70±0.62)μg/mL and(147.50±2.61)μg/mL for DPPH,superoxide,hydroxyl,nitric oxide and ABTS radical scavenging activities.Methanolic extract of A spinosus showed significant(P<0.01) antipyretic activity. | Bagepalli Srinivas Ashok Kumar Kuruba Lakshman Jayaveera KN Devangam Sheshadri Shekar Avalakondarayappa Arun Kumar Bachappa Manoj | 2010 | Asian Pacific Journal of Tropical Medicine2010，3，9： | 15 |
| 2 | Deep learning approach for microarray cancer data classification显示文摘Analysis of microarray data is a highly challenging problem due to the inherent complexity in the nature of the data associated with higher dimensionality,smaller sample size,imbalanced number of classes,noisy data-structure,and higher variance of feature values.This has led to lesser classification accuracy and over-fitting problem.In this work,the authors aimed to develop a deep feedforward method to classify the given microarray cancer data into a set of classes for subsequent diagnosis purposes.They have used a 7-layer deep neural network architecture having various parameters for each dataset.The small sample size and dimensionality problems are addressed by considering a well-known dimensionality reduction technique namely principal component analysis.The feature values are scaled using the Min-Max approach and the proposed approach is validated on eight standard microarray cancer datasets.To measure the loss,a binary cross-entropy is used and adaptive moment estimation is considered for optimisation.The performance of the proposed approach is evaluated using classification accuracy,precision,recall,f-measure,log-loss,receiver operating characteristic curve,and confusion matrix.A comparative analysis with state-of-the-art methods is carried out and the performance of the proposed approach exhibit better performance than many of the existing methods. | Hema Shekar Basavegowda Guesh Dagnew | 2020 | CAAI Transactions on Intelligence Technology2020，5，1： | 3 |
| 3 | 13X分子筛负载Fe催化剂上1,4-二氧六环在空气中完全氧化(英文)显示文摘采用浸渍法制备了不同Fe含量的13X分子筛负载的Fe催化剂(Fe/X13),运用N_2吸附-脱附法测得其BET比表面积和BJH孔径分布,采用X射线衍射、扫描电镜、程序升温还原和NH_3程序升温脱附法表征了该催化剂的织构性质.在固定床流动反应器中,以空气为氧化剂、在100-400℃范围内考察了Fe/X13催化剂上1,4-二氧六环的完全氧化反应性能,研究了反应温度、金属担载量和气体空速(GHSV)等条件对催化氧化降解二氧六环反应性能的影响,并在400℃测定了该催化剂反应50h的稳定性,结果表明,6 wt%Fe/13X催化剂表现出最高的催化性能,在400℃,GHSV=24000 h^(-1)的条件下,二氧六环转化率为97%,生成CO和CO_2的选择性达95%,降解产物还包括少量的乙醛、乙二醇-甲酸酯、乙二醇二甲酸、1,4-二氧六环-2醇、1,4-二氧六环-2酮及2-甲氧基1,3二氧戊环.基于这些经色谱-质谱联用仪检测出的产物,提出了可能的1,4-二氧六环降解机理。 | C.Ramakrishna R.Krishna T.Gopi G.Swetha Bijendra Saini S.Chandra Shekar Anchal Srivastava | 2016 | Chinese Journal of Catalysis2016，37，2： | 2 |
| 4 | Design of through beam connection detail for circular composite columns 显示文摘 | Azizinamini A Shekar Y | 1995 | Engineering Structure1995，17，3： | 1 |
| 5 | Argonaute 2- null embryonic stem cells are retarded in self-renewal and differ- entiation显示文摘 | SHEKAR P C NAIM A SARATHI D P | 2011 | J Biosei2011，36，64： | 1 |
| 6 | Pressure induced structural transformation of pyrochlore Gd2Zr2O7 显示文摘 | Kumar n r Chandra n v Shekar c | 2008 | Solid State Commun2008，147，35： | 1 |
| 7 | Aesthetic incision for neck dissection显示文摘 | Gulati A Shekar K Downie IP | 2012 | Br J Oral Maxillofac Surg2012，50，2： | 1 |
| 8 | Melanoma markers in angiomyolipoma of the liver and kidney:a comparative study显示文摘 | Makhlouf HR Ishak KG Shekar R | 2002 | Arch Pathol Lab Med2002，126，1： | 1 |
| 9 | Diffusion tensor magnetic resonance imaging in spinal cord injury显示文摘 | Benjamin M.Ellingson Brian D.Schmit John L.Ulmer Shekar N.Kurpad | 2008 | Reson2008，，3： | 1 |
| 10 | Face recognition using kernel entropy component analysis显示文摘 | Shekar B H | 2011 | Neurocomputing2011，74，6： | 1 |
| 11 | Deadline compliance, predictability and on-line optimization in real-time problem solving显示文摘 | Hamidzadeh B Shekar S | 1995 | In Proceedings of the International Joint Conference on AI1995，，： | 1 |
| 12 | Pressure induced structural transformation of pyrochlore Gd2 Zr2 07 显示文摘 | KUMAR N R CHANDRA N V SHEKAR C | 2008 | Solid State Corn mun2008，147，910： | 1 |
| 13 | Durability design process for truck body structures显示文摘 | Sridhar Srikantan Shekar Yerrapalli Hamid Keshtkar | 2000 | International Journal of Vehicle Design2000，23，95： | 1 |
| 14 | Melanoma markers in angiomyolipoma of the liver and kidney显示文摘 | Makhlouf HR Ishak KG Shekar R | 2002 | Arch Pathol Lab Med2002，126，1： | 1 |
| 15 | Pressure induecd structural transformation of pyrochlore Gd2Zr2O7显示文摘 | KUMAR N R CHANDRA N V SHEKAR C | 2008 | Solid State Commun2008，147，： | 1 |
| 16 | Numerical simulation of airflow around a variable volume/constant face velocity fume cupboard显示文摘 | Ngiam Soon Lan Shekar Viswanathan | 2001 | AIHAJ2001，62，： | 1 |
| 17 | Design of through beam connection detail for circular composite columns 显示文摘 | Azizinamini A Shekar Y | 1995 | Engineering Structure1995，17，3： | 1 |
| 18 | Melanoma markers in angiomyolipoma of the liver and kidney 显示文摘 | Makhlouf HR Ishak KG Shekar R | 2002 | Arch Pathol Lab Med2002，126，1： | 1 |
| 19 | Innovative surgical strategies : minimallyinvasive CABG and off - pump CABG 显示文摘 | Ehsan A Shekar P Aranki S | 2004 | Curr Treat Options Cardiovasc Med2004，6，1： | 1 |
| 20 | The :role of educational attainment in re- fraction:the Genes in Myopia (GEM)twin study显示文摘 | Dirani M Shekar SN Baird PN | 2000 | Invest Ophthalmol Vis Sci2000，49，2： | 1 |
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