Fatty acid profile of fish scale of Catla catla

Fish scales are useful to ichthyologists for the purposes of classification, identification, age determination and history study. The fatty acid profile of the hexane extracts of the fresh water fish scale of Catla catla were analyzed by gas chromatography. Fish scales were collected from a local fish market, Chidambaram. The fatty acid profile was detected in the scales, with the following fatty acids dominating: 16:0, 18:0, 18:1, 18:2, 18:3 and 18:4. The use of fatty acid profiling in fish scales has the potential for stock identification in addition to the identification of fish farm escapees.Key words: Fish scales, fatty acid, gas chromatography, Catla catla

IN VITRO ANTIBACTERIAL ACTIVITY AND GAS CHROMATOGRAPHY-MASS SPECTROMETRY ANALYSIS OF ETHANOLIC EXTRACT OF LEAVES OF ELETTARIA CARDAMOMUM L. MATON

Objective: The objective of the present study is to determine the possible phytoconstituents identified by gas chromatography and mass spectrometry (GC-MS) analysis of an ethanolic leaves extract of Elettaria cardamomum L. Maton.Methods: The extraction of E. cardamomum was done by cold solvent extraction system at room temperature. GC-MS analysis of lyophilized ethanolic leaves extract of plant samples was carried out by GC-MS-GC Clarus 500 Perkin Elmer. Results: In E. cardamomum, 21 phytochemicals were identified among which retinal, 9-cis-showed the highest area (44.86%) and benzeneethanamine, α-methyl- showed the lowest area (0.12%). The major compounds identified were retinal, 9-cis-, 1-heptatriacotanol, phytol, n-hexadecanoic acid, naphthalene,decahydro-1,1,4atrimethyl-6-methylene-5-(3-methyl-2-4-pentadienyl)-[4aS-(4aα,5α,8aα)]-, β-pinene, 2H-pytan-3-ol,6- ethenyltetrahydro-2,2,6-trimethyl-and cyclopropane, trimethanol, (2-methyl-1-propanylidene).Conclusion: GC-MS analysis revealed the presence of hydrocarbon alkane, ester, terpenes, phenolic compounds, steroids, and fatty acids in E. cardamomum. These active phytoconstituents contribute to the medicinal efficacy of the plant, and the plant can be used for the sourcing of these compounds

Ultrafine grained materials through mechanical processing: an assessment

In this paper severe plastic deformation (SPD) and friction stir processing/ welding are examined. The structural changes due to SPD are reflected in improved mechanical properties. Advantages of SPD are pointed out. Within the SPD technique, a number of approaches are possible, e.g., equi-channel angular pressing/extrusion, high pressure torsion, accumulative roll bonding/fold - roll process, reciprocating extrusion - compression, cyclic close die forging, repetitive corrugation and straightening. Analyses available are elementary and often assume uniform stress and strain distribution. These processes are easily adapted to suit standard metal working equipment fitted with inexpensive devices and tools. However, scaling up the processes to handle large billets and achieve large tonnage production is difficult. In the near future, medium and small-scale industrial production only is likely. Friction stir process, a solid state technique for joining similar or dissimilar materials of equal or different thickness, has some key metallurgical, environmental and energy benefits. It is already being considered for applications in aerospace and automotive industries. Significant improvements in surface properties and superplastic flow have been established in friction stir processed materials. Velocity of tool movement and power input needed for fast rotation of the tool are the major variables. Since significant temperature rise is there during processing, in a proper analysis, the boundary conditions arising from thermal and mechanical constraints have to be satisfied simultaneously, which is an extremely difficult. A few key issues have to be addressed before large-scale production can be attempted. An integral approach that takes into account the total system of material, design, mechanics and component forming is likely to lead to industrially relevant solutions

Ultrafine grained materials through mechanical processing: An assessment

In this paper severe plastic deformation (SPD) and friction stir processing/ welding are examined. The structural changes due to SPD are reflected in improved mechanical properties. Advantages of SPD are pointed out. Within the SPD technique, a number of approaches are possible, e.g., equi-channel angular pressing/extrusion, high pressure torsion, accumulative roll bonding/fold - roll process, reciprocating extrusion – compression, cyclic close die forging, repetitive corrugation and straightening. Analyses available are elementary and often assume uniform stress and strain distribution. These processes are easily adapted to suit standard metal working equipment fitted with inexpensive devices and tools. However, scaling up the processes to handle large billets and achieve large tonnage production is difficult. In the near future, medium and small-scale industrial production only is likely. Friction stir process, a solid state technique for joining similar or dissimilar materials of equal or different thickness, has some key metallurgical, environmental and energy benefits. It is already being considered for applications in aerospace and automotive industries. Significant improvements in surface properties and superplastic flow have been established in friction stir processed materials. Velocity of tool movement and power input needed for fast rotation of the tool are the major variables. Since significant temperature rise is there during processing, in a proper analysis, the boundary conditions arising from thermal and mechanical constraints have to be satisfied simultaneously, which is an extremely difficult. A few key issues have to be addressed before large-scale production can be attempted. An integral approach that takes into account the total system of material, design, mechanics and component forming is likely to lead to industrially relevant solutions

A multilevel framework for AI governance

To realize the potential benefits and mitigate potential risks of AI, it is necessary to develop a framework of governance that conforms to ethics and fundamental human values. Although several organizations have issued guidelines and ethical frameworks for trustworthy AI, without a mediating governance structure, these ethical principles will not translate into practice. In this paper, we propose a multilevel governance approach that involves three groups of interdependent stakeholders: governments, corporations, and citizens. We examine their interrelationships through dimensions of trust, such as competence, integrity, and benevolence. The levels of governance combined with the dimensions of trust in AI provide practical insights that can be used to further enhance user experiences and inform public policy related to AI.Comment: This paper has been accepted for publication and is forthcoming in The Global and Digital Governance Handbook. Cite as: Choung, H., David, P., & Seberger, J.S. (2023). A multilevel framework for AI governance. The Global and Digital Governance Handbook. Routledge, Taylor & Francis Grou

Data Placement in Object Storage Based Multiple Containers in Cloud Environment

Cloud computing is an Internet based processing where virtual shared servers give programming and different resources. Cloud storage is only capacity of information on outsider cloud servers. The benefits are boundless capacity, backup and recovery. The bad marks are specialized issues, cost and absence of backing in security. In This paper, we made to build an application for cloud security in IBM bluemix cloud to partition the data and storing them into multiple containers of object storage. Object storage is a resource which is used in IBM bluemix cloud to store a data. Hence the data is retrieve when needed by merging it. An proposed efficient data placement algorithm is used. This will consider how to place the files efficiently to the containers in object storage. Beside, the files will merge when client needs it back. So some additional algorithms is also used for partitioning and merging of files. Our goal is to achieve good security for cloud storage system, through proposed algorithm by using multiple containers of object storage in cloud

Detection of Features to Track Objects and Segmentation Using GrabCut for Application in Marker-less Augmented Reality

AbstractAugmented Reality applications have hovered itself over various platforms such as desktop and most recently to handheld devices such as mobile phones and tablets. Augmented Reality (AR) systems have mostly been limited to Head Worn Displays with start-ups such as Magic Leap and Occulus Rift making tremendous advancement in such AR and VR research applications facing a stiff competition with Software giant Microsoft which has recently introduced Holo Lens. AR refers to the augmentation or the conglomeration of virtual objects in the real world scenario which has a distinct but close resemblance to Virtual Reality (VR) systems which are computer simulated environments which render physical presence in imaginary world. Developers and hackers round the globe have directed their research interests in the development of AR and VR based applications especially in the domain of advertisement and gaming. Many open source libraries, SDKs and proprietary software are available worldwide for developers to make such systems. This paper describes an algorithm for an AR prototype which uses a marker less approach to track and segment out real world objects and then overlay the same on another real world scene. The algorithm was tested on Desktop. The results are comparable with other existing algorithms and outperform some of them in terms of robustness, speed, and accuracy, precision and timing analysis