oalib

OALib Journal期刊

ISSN: 2333-9721

费用:99美元

投稿

时间不限

2017 ( 200 )

2016 ( 479 )

2015 ( 8337 )

2014 ( 10938 )

自定义范围…

匹配条件: “Arun Raj.R” ,找到相关结果约226481条。
列表显示的所有文章,均可免费获取
第1页/共226481条
每页显示
A STUDY ON WORK-LIFE BALANCE OF EMPLOYEES IN PHARMA MARKETING
Arun Raj.R
International Research Journal of Pharmacy , 2013,
Abstract: Sales have been considered as one of the most rewarding and challenging fields of employment in India. Encouraging work-life balance is seen as a way of attracting and retaining the labour force needed to support economic well-being. The role of work has changed throughout the world due to economic conditions and social demands. In sales job, the performance pressure is considerably high leading to stress and other problems. The main objectives of the study are to the work-life score of employees in pharmaceutical marketing. The research design adopted was descriptive as the study required both primary and secondary data. The problem is identified through extensive study of the hypothesis collecting all relevant information using primary data and secondary data. There were 100 pharmaceutical marketing employees selected from Ernakulam and Kottayam District of Kerala, India. Questionnaires were circulated and data was collected and analyzed by using by appropriate statistical tools. Based on the analysis, the present study concluded that there was an increased case of work life balance in the pharmaceutical marketing employees.
Research: FOMULATION, PHYSICAL CHARECTERISATION AND In-vitro RELEASE STUDIES OF PREDNISOLONE ALGINATE BEADS FOR COLON TARGETING BY IONOTROPIC GELATION
Bagyalakshmi* J,Arun Raj R,Ravi T K
Pharmacie Globale : International Journal of Comprehensive Pharmacy , 2011,
Abstract: This article shall give an overview on drug delivery systems for new therapeutic strategies in the treatment of inflammatory bowel disease. Conventional drug delivery systems are tightly adapted from developments of colonic delivery by oral administration triggered by release mechanism owing to the physiological environment that these systems encounter in the colonic region. The newer developments in this context aim for an increased selectivity of drug delivery by targeting mechanisms which have a closer relation to patho physiological particularities of the disease. The objective of the present study was to microencapsulate the anti inflammatory drug (prednisolone) to provide controlled release and colon targeting. Alginate beads of prednisolone were formulated by ionotropic gelation and further coated with Eudragit S-100 and the variables studied includes concentration of sodium alginate, different cross linking agents were evaluated with respect to particle size, surface characteristics entrapment efficiency and in vitro release behavior. IR spectroscopic study confirmed the absence of any drug interaction. DSC analysis revealed that the drug was uniformly dispersed in the alginate beads. The mean particle size increases with increasing the polymer concentration. The shape of alginate beads has acceptable sphericity and surfaces were rough which were confirmed by SEM photograph. The entrapment efficiency in different formulation varied from 69% to 81%. The in vitro release profiles were also altered significantly by changing various parameters. The kinetic modeling of the release data indicates that prednisolone released from alginate beads followed by Korsemeyer’s model. The above observations suggest that prednisolone can be developed as colon targeting drug delivery system with sodium alginate 2.5% using Calcium chloride as cross linking agent and coated with Eudragit S-100.
SHIFT: Server for hidden stops analysis in frame-shifted translation
Arun Gupta, Tiratha Raj Singh
BMC Research Notes , 2013, DOI: 10.1186/1756-0500-6-68
Abstract: Findings: This paper describes SHIFT, an algorithmic web application tool that provides a user-friendly interface for identifying and analyzing hidden stops in frameshifted translation of genomic sequences for all available genetic code systems. We have calculated the correlation between codon usage frequencies and the plausible contribution of codons towards hidden stops in an off-frame context. Markovian chains of various order have been used to model hidden stops in frameshifted peptides and their evolutionary association with naturally occurring hidden stops. In order to obtain reliable and persuasive estimates for the naturally occurring and predicted hidden stops statistical measures have been implemented.This paper presented SHIFT, an algorithmic tool that allows user-friendly exploration, analysis, and visualization of hidden stop codons in frameshifted translations. It is expected that this web based tool would serve as a useful complement for analyzing hidden stop codons in all available genetic code systems. SHIFT is freely available for academic and research purpose at http://www.nuccore.org/shift/.
Round robin based Secure-Aware Packet Scheduling in Wireless Networks
Arun Raj,P. Blessed Prince
International Journal of Engineering Science and Technology , 2013,
Abstract: Packet scheduling algorithms enhances the packet delivery rate effectively in wireless networks; it helps to improve the quality of service of the wireless networks. Many algorithms had been deployed in the area of packet scheduling in wireless networks but less attention is paid to security. Some algorithms which offer security often compromise performances such as schedulability, this is not desirable. This performance problem will become worse when the system is under heavy load. In this paper we propose Round robin based Secure- Aware Packet Scheduling algorithm (RSAPS) for wireless networks which focuses on secure scheduling. RSAPS is an adaptive algorithm which gives priority to scheduling when system is under heavy load. Under light load RSAPS provide maximum security for the incoming packets. Simulation has been performed using the proposed method and compared with existing algorithms SPSS and ISPAS. And it is found that RSAPS shows excellent scheduling quality holding the security levels.
Motion Based Summarization and Grouping of Events for Video Surveillance System
L. Arun Raj, C. Thangapandian
International Journal of Engineering Research , 2014,
Abstract: Motion Based Summarization and Grouping of Events for Video Surveillance is one of the approach for detecting dynamic and complex scenes in computer vision. It aims to automatically recognize and track people and objects from image sequences in order to understand and describe dynamics and interactions among them. Furthermore we propose a grouping of events people running together, fighting, etc. This method can handle both symmetric and asymmetric group activities. Video based summarization have the potential to assist in maintaining public safety and security
Multiple neural tube defects in the same patient with no neurological deficit
Tungaria Arun,Srivastav Arun,Mahapatra Ashok,Kumar Raj
Journal of Pediatric Neurosciences , 2010,
Abstract: Congenital deformities involving the coverings of the nervous system are called neural tube defects (NTDs). NTD can be classified as neurulation defects, which occur by stage 12, and postneurulation defects. Cervical meningocele and myelomeningocele are rare spinal dysraphic lesions. Unlike lumbosacral dysraphic lesions, there is often no neurologic deficits and thus the subtle features of cervical cord tethering may be overlooked on imaging. The presence of meningomyelocele and/or encephaloceles at multiple (two or more) sites along the vertebral axis is a very rare event occurring in <1% of cases. Less than 10 cases have been described in the published literature. We are reporting a case of multiple NTD in same patient with no neurological deficit.
Interference-induced splitting of resonances in spontaneous emission
R. Arun
Physics , 2007, DOI: 10.1103/PhysRevA.77.033820
Abstract: We study the resonance fluorescence from a coherently driven four-level atom in the Y-type configuration. The effects of quantum interference induced by spontaneous emission on the fluorescence properties of the atom are investigated. It is found that the quantum interference resulting from cascade emission decays of the atom leads to a splitting of resonances in the excited level populations calculated as a function of light detuning. For some parameters, interference assisted enhancement of inner sidebands and narrowing of central peaks may also occur in the fluorescence spectrum. We present a physical understandingof our numerical results using the dressed state description of the atom-light interaction.
Comparative analysis of epitope predictions: proposed library of putative vaccine candidates for HIV
Arun Gupta,Dinesh Chaukiker,Tiratha Raj Singh
Bioinformation , 2011,
Abstract: Designing a vaccine for a disease is one of the crucial tasks that involve millions and billions of dollars, several decades and yet there is no guarantee of successful results. Several pharmaceutical companies are investing their money and time in such activities. Computational biology could be of great help in these activities by proving a library of plausible candidates that might actually show some positive responses. MHC binding peptide prediction is one such area where the immense power of computers could be used to get a breakthrough. In this direction several databases and servers have been developed by many labs to predict the MHC binding peptides. These short peptides on the antigen surface are recognized by the MHC molecule and are presented to the receptors of T-cells for further immune response. Peptides that bind to a given MHC molecule share sequence similarity. Here we present a comparative study of servers that can predict the MHC binding peptides in a given protein sequence of the antigen. Based on this comparative analysis on HIV data, we are able to propose a library of putative vaccine candidates for the env GP-160 protein of HIV-1.
M2KMIX: Identifying the Type of High Rate Flooding Attacks using a Mixture of Expert Systems
Arun Raj Kumar P.,S. Selvakumar
International Journal of Computer Network and Information Security , 2012,
Abstract: High rate flooding attacks such as SYN flood, UDP flood, and HTTP flood have been posing a perilous threat to Web servers, DNS servers, Mail servers, VoIP servers, etc. These high rate flooding attacks deplete the limited capacity of the server resources. Hence, there is a need for the protection of these critical resources from high rate flooding attacks. Existing detection techniques used in Firewalls, IPS, IDS, etc., fail to identify the illegitimate traffic due to its self-similarity nature of legitimate traffic and suffer from low detection accuracy and high false alarms. Also, very few in the literature have focused on identifying the type of attack. This paper focuses on the identification of type of high rate flooding attack with High detection accuracy and fewer false alarms. The attack type identification is achieved by training the classifiers with different feature subsets. Therefore, each trained classifier is an expert in different feature space. High detection accuracy is achieved by creating a mixture of expert classifiers and the ensemble output decisions are identified by our proposed Preferential Agreement (PA) rule. Our proposed classification algorithm, M2KMix (mixture of two Multi Layer Perceptron and one K-Nearest Neighbor models) differs from the existing solutions in feature selection, error cost reduction, and attack type identification. M2KMix was trained and tested with our own SSE Lab 2011 dataset and CAIDA dataset. Detection accuracy and False Alarms are the two metrics used to analyze the performance of the proposed M2KMix algorithm with the existing output combination methods such as mean, maximum, minimum, and product. From the simulation results, it is evident that M2KMix algorithm achieves high detection accuracy (97.8%) with fewer false alarms than the existing output combination methods. M2KMix identifies three types of flooding attacks, viz., the SYN Flood, UDP flood, and HTTP Flood, effectively with detection accuracy of 100%, 93.75%, and 97.5%, respectively.
Spinal epidural lipomatosis: An unusual cause of relapsing and remitting paraparesis
Rajput Dinesh,Srivastava Arun,Kumar Raj
Journal of Pediatric Neurosciences , 2010,
Abstract: Epidural lipomatosis is a rare entity to cause spinal cord compression and neurological deficits. This is usually associated with excess of steroids in the body either because of endogenous source as in Cushings disease or exogenous intake as in some diseases like systemic lupus erythematosus, in some endocrinopathies or in morbid obesity. But in some cases no cause has been found. Such idiopathic cases of spinal epidural lipomatosis have also been reported. Here, we report a case of idiopathic spinal epidural lipomatosis with relapsing and remitting paraparesis which is quite unusual. Treatment depends upon neurological status of the patient. We operated the patient as he had significant neurological compromise and he improved significantly.
第1页/共226481条
每页显示


Home
Copyright © 2008-2017 Open Access Library. All rights reserved.