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| 1 | Potential antibacterial activity of berberine against multi drug resistant enterovirulent Escherichia coli isolated from yaks(Poephagus grunniens) with haemorrhagic diarrhoea显示文摘Objective:To evaluate the antimicrobial efficacy of berberine,a plant alkaloid.Methods:Five multi-drug resistant(MDR) STEC/EPEC and five MDR ETEC isolates from yaks with haemorrhagic diarrhoea were selected for the study.Antibacterial activity of berberine was evaluated by broth dilution and disc diffusion methods.The binding kinetics of berberine to DNA and protein was also enumerated.Results:For both categories of enterovirulent Escherichia coli(E.roli) isolates, berberine displayed the antibaclerial effect in a dose dependent manner.The MIC50 of berberine chloride for STEC/EPEC isolates varied from 2.07μM to 3.6μM with a mean of(2.95±0.33)μM where as for ETEC strains it varied from 1.75 to 1.96μM with a mean of(1.87±0.03)μM. Berberine bind more tightly with double helix DNA with Bmax and Kd of(24.68±2.62) and(357.8±57.8),respectively.Berberine reacted with protein in comparatively loose manner with Bmax and Kd of(18.9±3.83) and <286.2±113.6),respectively.Conclusions:The results indicate clearly that berberine may serve as a good antibacterial against multi drug resistant E.coli. | Samiran Bandyopadhyay Pabitra H Patra Achintya Mahanti Dipak K Mondal Premanshu Dandapat Subhasis Bandyopadhyay Indranil Samanta Chandan Lodh Asit K Bera Debasish Bhattacharyya Mihir Sarkar Kishore K Baruah | 2013 | Asian Pacific Journal of Tropical Medicine2013，6，4： | 11 |
| 2 | Scheduling video streams in video-on-demand systems:a survey显示文摘 | Debasish G Hyoung J K | | 0，，： | 1 |
| 3 | Scheduling video streams in video-on-demand systems:a survey显示文摘 | Debasish G Hyoung J K | | 0，，： | 1 |
| 4 | Polyacrylic acid (poly-A) as a chelant and dispersant 显示文摘 | Debasish K Gekorge A B Ricardo E B | 1999 | Journal of Applied Polymer Science1999，73，7： | 1 |
| 5 | Liver lipids and fatty acids of the sting ray Dasyatis bleekeri (Blyth) 显示文摘 | Debasish P Dipankar B Tanm K | 1998 | JAOCS1998，75，10： | 1 |
| 6 | Polyacrylic acid (poly-A) as a chelant and dispersant显示文摘 | DEBASISH K GEKORGE A B RICARDO E B | 1999 | Journal of Applied Polymer Science1999，73，7： | 1 |
| 7 | Polyacrylic acid (Poly-A) as a chelant and dispersant显示文摘 | Debasish K George A B Ricardo E B | 1999 | Journal of Applied Polymer Science1999，，73： | 1 |
| 8 | SlidingMode Guidance and Control for All-Aspect Imterceptors with Terminal Angle Constraints显示文摘 | SHASHI R K SACHIT R DEBASISH G | 2012 | Journal of Guidance Control and Dynamics2012，35，4： | 1 |
| 9 | An accurate slicing procedure for layered manufacturing显示文摘 | Prashant K Debasish D | 1996 | Computer-Aided Design1996，28，9： | 1 |
| 10 | An image encryption process based on Chaotic logistic map显示文摘 | Mrinal K M Gourab D B Debasish C | | 0，，05： | 1 |
| 11 | Liver lipids and fattyacids of the sting ray Dasyatis bleekeri (Blyth) 显示文摘 | Debasish P Dipankar B Tarun K | 1998 | JAOCS1998，75，10： | 1 |
| 12 | Liquid-liquid extraction of aluminium(III) from mixed sulphate solutions using sodium salts of Cyanex 272 and D2EHPA显示文摘 | DEBASISH M KIM H I NAM C W PARK K H | 2007 | Separation and Purification Technology2007，56，3： | 1 |
| 13 | Adsorption removal of Cr( HI ) from aqueous solution using tripolyphosphate cross-linked ehitosan beads显示文摘 | Debasish Das M K Sureshkumar K Radhakrishna J | 2011 | J Radioanal blucl C hem2011，289，： | 1 |
| 14 | 显示文摘 | Debasish K Gekorge B A Recardo E B | 1999 | J Appl Polym Sci1999，73，7： | 1 |
| 15 | Industry 4.0 Application in Manufacturing for Real-Time Monitoring and Control显示文摘Modern manufacturing aims to reduce downtime and track process anomalies to make profitable business decisions.This ideology is strengthened by Industry 4.0,which aims to continuously monitor high-value manufacturing assets.This article builds upon the Industry 4.0 concept to improve the efficiency of manufacturing systems.The major contribution is a framework for continuous monitoring and feedback-based control in the friction stir welding(FSW)process.It consists of a CNC manufacturing machine,sensors,edge,cloud systems,and deep neural networks,all working cohesively in real time.The edge device,located near the FSW machine,consists of a neural network that receives sensory information and predicts weld quality in real time.It addresses time-critical manufacturing decisions.Cloud receives the sensory data if weld quality is poor,and a second neural network predicts the new set of welding parameters that are sent as feedback to the welding machine.Several experiments are conducted for training the neural networks.The framework successfully tracks process quality and improves the welding by controlling it in real time.The system enables faster monitoring and control achieved in less than 1 s.The framework is validated through several experiments. | Debasish Mishra Ashok Priyadarshi Sarthak M Das Sristi Shree Abhinav Gupta Surjya K Pal Debashish Chakravarty | 2022 | Journal of Dynamics, Monitoring and Diagnostics2022，1，3： | 0 |
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