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Search Results: 1 - 10 of 139840 matches for " Rakesh K. Sindhu "
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Therapeutic Effect of Ficus lacor Aerial Roots of Various Fractions on Adjuvant-Induced Arthritic Rats
Rakesh K. Sindhu,Sandeep Arora
ISRN Pharmacology , 2013, DOI: 10.1155/2013/634106
Abstract: The present study was carried out to evaluate antiarthritic potential and phytochemical screening of various extracts of Ficus lacor aerial roots. The antiarthritic activity was evaluated by adjuvant-induced arthritis at the dose of 50 and 100?mg/kg body weight and the standard drug used was indomethacin. The extracts administered in higher doses reduced the lesions to a greater extent showing a dose-dependent decrease in lesions comparable with standard drug indomethacin. The extracts of FLPE and FLET showed significant increase in body weight as compared to arthritic control group as well as an increase in liver weight, a decrease in liver weight, and an increase in spleen weight in arthritis control. The extracts of FLPE and FLET showed significant decrease in WBC count, increase in hemoglobin contents, and RBC count as compared to control group. FLEA and FLCF were not able to produce a significant effect. There was significant reduction in production of IL-1 and TNF-α level between model group and control group in serum. In conclusion, we demonstrate that, at 100?mg/kg body weight, doses of FLPE and PLET extracts were highly effective in preventing and suppressing the development of adjuvant-induced arthritis. 1. Introduction Inflammation is common and essential protective response to the harmful stimuli such as infectious agents, antigen-antibody reactions, thermal, chemical, and physical agents, and ischemia [1]. It is caused by a variety of stimuli including physical damage, ultraviolet irradiation, microbial invasion, and immune reactions. The classical key features of inflammation are redness, warmth, swelling, and pain. Inflammation cascades can lead to the development of diseases such as arthritis, chronic asthma, multiple sclerosis, inflammatory bowel disease, and psoriasis. Many of these diseases are debilitating and are becoming increasingly common in our aging society. Rheumatoid arthritis and osteoarthritis are the major inflammatory diseases affecting people worldwide [2]. Rheumatoid arthritis is an inflammatory condition that usually affects multiple joints. It affects 0.3%–1.0% of the general population and is more prevalent among women in the developed countries. Persistent inflammation leads to joint destruction, but the disease can be controlled with drugs. Osteoarthritis, which is characterized by loss of joint cartilage that leads to pain and loss of function primarily in the knees and hips, affects 9.6% of men and 18% of women aged more than 60 years. Increases in life expectancy and aging populations are expected to make
Digital Forensics and Cyber Crime Datamining  [PDF]
K. K. Sindhu, B. B. Meshram
Journal of Information Security (JIS) , 2012, DOI: 10.4236/jis.2012.33024
Abstract: Digital forensics is the science of identifying, extracting, analyzing and presenting the digital evidence that has been stored in the digital devices. Various digital tools and techniques are being used to achieve this. Our paper explains forensic analysis steps in the storage media, hidden data analysis in the file system, network forensic methods and cyber crime data mining. This paper proposes a new tool which is the combination of digital forensic investigation and crime data mining. The proposed system is designed for finding motive, pattern of cyber attacks and counts of attacks types happened during a period. Hence the proposed tool enables the system administrators to minimize the system vulnerability.
Erratum to “Inflammation and Its Role in Prostate Cancer” [Journal of Cancer Therapy 5 (2014) 836-844]  [PDF]
Rakesh K. Mishra, Ashutosh K. Tewari
Journal of Cancer Therapy (JCT) , 2015, DOI: 10.4236/jct.2015.61011
Abstract:

Inflammation is associated with various cancers, and plays a significant role in prostate cancer genesis including initiation, promotion, malignant conversion, invasion, and metastasis. While several studies posit an important role of inflammation in prostate growth, the exact mechanisms are not known. The extant basic and clinical research in the area, trying to unravel the etiology of prostatic inflammation and its signaling pathway, may help to develop novel therapeutic interventions against prostate cancer development triggered by inflammation.

Erratum to “Inflammation and Its Role in Prostate Cancer” [Journal of Cancer Therapy 5 (2014) 836-844]  [PDF]
Rakesh K. Mishra, Ashutosh K. Tewari
Journal of Cancer Therapy (JCT) , 2015, DOI: 10.4236/jct.2015.61011
Abstract:

Inflammation is associated with various cancers, and plays a significant role in prostate cancer genesis including initiation, promotion, malignant conversion, invasion, and metastasis. While several studies posit an important role of inflammation in prostate growth, the exact mechanisms are not known. The extant basic and clinical research in the area, trying to unravel the etiology of prostatic inflammation and its signaling pathway, may help to develop novel therapeutic interventions against prostate cancer development triggered by inflammation.

Inflammation and Its Role in Prostate Cancer  [PDF]
Rakesh K. Mishra, Ashutosh K. Tewari
Journal of Cancer Therapy (JCT) , 2014, DOI: 10.4236/jct.2014.59092
Abstract:

Infections and inflammatory responses are linked to 20% - 300% of all deaths from cancer worldwide. Inflammatory responses play crucial roles at different stages of tumor development, including initiation, promotion, malignant conversion, invasion, and metastasis. Several studies point to an important role of inflammation in prostate growth, although the contribution of inflammation to benign prostate cancer is not completely understood. The basic and clinical research in the area, trying to understand the etiology of prostatic inflammation and its signaling pathway may help to develop the novel therapeutic interventions against prostate cancer development triggered by inflammation.

Measuring E-Service Quality and Customer Satisfaction with Internet Banking in India  [PDF]
Sindhu Singh
Theoretical Economics Letters (TEL) , 2019, DOI: 10.4236/tel.2019.92023
Abstract:

The objective of this study is to measure the e-service quality of internet banking and the relationship with customer satisfaction in India. This study aims to explore the critical factors of e-service quality of internet banking in India and to measure the customers’ satisfaction of internet banking on the identified e-service quality dimensions. A survey method was carried out to acquire data from 650 respondents from India. Exploratory and confirmatory factor analysis was used to identify the dimensions of internet banking. Multiple Regression Analysis was used to test the relationship with e-service quality dimensions and customer satisfaction of internet banking. The study uncovered three factors of e-service quality, namely, “Responsiveness,” “Efficiency,” and “Perceived Credibility”. “Responsiveness” found to be the most significant predictor of the e-service quality of internet banking. The study also found that there is a positive relationship exists between e-service quality dimensions and customer satisfaction of internet banking. These findings can be used by banks to improve the service quality of their internet banking service and thereby to satisfy their customers. The findings open up many business opportunities to India as well as other Asian countries. The digital payments industry can concentrate on improving the security of the payment systems, gateways, and payment networks. Advanced technologies can be developed to improve the digital payment systems which offer many business opportunities for creating computers, smartphones, and innovation in internet and security software. The study findings can be used by banks to improve the service quality of internet banking and attract more customers towards using this service. The improvement in service quality comprising of responsiveness, efficiency, and perceived credibility automatically leads to the customer satisfaction of internet banking services, which gives competitive advantages to the banks. This study is an attempt to cover both urban and rural population of India to understand the

Digital Forensic Investigation Tools and Procedures
K. K. Sindhu,B. B. Meshram
International Journal of Computer Network and Information Security , 2012,
Abstract: Due to the significance of Data, in this new age, its’ security has become a major issue in the I.T. industry. Cyber attacks from various sources are demanding its prevention in the new era of information security. Digital forensic is a relatively new fields that is the collection, analysis and documentation of a Cyber attacks. It is becoming increasingly important as criminals aggressively expand the use of technology in their enterprise of illegal activities. Digital forensics investigators have access to a wide variety of tools, both commercial and open source, which assist in the preservation and analysis of digital evidence. A small percentage of cyber criminals being convicted confirm the difficulty in detection of digital crime and its consequent procedural proving in the court of law. An established forensic analyst mines the crucial evidence from susceptible locations to comprehend attacker’s intension. The typical goal of an investigation is to collect evidence using generally acceptable methods in order to make the evidence is accepted and admitted on the court. Efficient digital Tools and procedures are needed to effectively search for, locate, and preserve all types of electronic evidence. Main focus of this paper is the complete investigation procedure of storage media. Our paper also explains emerging cyber crimes and its digital forensic investigation procedures using digital forensic tools and techniques.
SYNTHESIS, SPECTRAL AND THERMAL PROPERTIES OF SOME HIGH COORDINATED COMPLEXES OF THORIUM(IV) AND DIOXOURANIUM(VI) DERIVED FROM 4[N-(2\'-HYDROXY-1\'-NAPHTHALIDENE)AMINO] ANTIPYRINETHIOSEMICARBAZONE
Ram K Agarwal*, Rajeev Garg, SK Sindhu
Bulletin of the Chemical Society of Ethiopia , 2005,
Abstract: In present work, we describe the synthesis of thorium(IV) and dioxouranium(VI) coordination compounds of 4[N-(2\'-hydroxy-1\'-naphthalidene)amino]antipyrinethio- semicarbazone (HNAAPTS) with the general composition ThX4.n(HNAAPTS) (X = Cl, Br, I, NCS or ClO4, n = 2; X = NO3, n = 1) and UO2X2.n(HNAAPTS) (X = Br, I, NCS or ClO4, n = 2, X = NO3 or CH3COO, n = 1). All the coordination compounds were characterized by analytical, molar mass, molar conductance and infrared studies. The infrared spectral studies reveal that the ligand HNAAPTS is coordinated in neutral tridentate (N,N,S) fashion. The coordination number of Th(IV) in these coordination compounds varies from 6, 8, 10 or 11; while for U(VI) the coordination number are 8, 9 or 10. Thermal stabilities of these complexes were investigated through thermogravimetric analysis. KEY WORDS: Thorium(IV) complexes, Dioxouranium(VI) complexes, 4[N-(2\'-hydroxy-1\'-naphthalidene)amino]antipyrinethiosemicarbazone Bull. Chem. Soc. Ethiop. 2005, 19(2), 185-195
Energy Sharing for Multiple Sensor Nodes with Finite Buffers
Sindhu Padakandla,Prabuchandran K. J,Shalabh Bhatnagar
Computer Science , 2015,
Abstract: We consider the problem of finding optimal energy sharing policies that maximize the network performance of a system comprising of multiple sensor nodes and a single energy harvesting (EH) source. Sensor nodes periodically sense the random field and generate data, which is stored in the corresponding data queues. The EH source harnesses energy from ambient energy sources and the generated energy is stored in an energy buffer. Sensor nodes receive energy for data transmission from the EH source. The EH source has to efficiently share the stored energy among the nodes in order to minimize the long-run average delay in data transmission. We formulate the problem of energy sharing between the nodes in the framework of average cost infinite-horizon Markov decision processes (MDPs). We develop efficient energy sharing algorithms, namely Q-learning algorithm with exploration mechanisms based on the $\epsilon$-greedy method as well as upper confidence bound (UCB). We extend these algorithms by incorporating state and action space aggregation to tackle state-action space explosion in the MDP. We also develop a cross entropy based method that incorporates policy parameterization in order to find near optimal energy sharing policies. Through simulations, we show that our algorithms yield energy sharing policies that outperform the heuristic greedy method.
CLIPS based decision support system for water distribution networks
K. Sandeep,K. Rakesh
Drinking Water Engineering and Science (DWES) & Discussions (DWESD) , 2011, DOI: 10.5194/dwes-4-37-2011
Abstract: The difficulty in knowledge representation of a water distribution network (WDN) problem has contributed to the limited use of artificial intelligence (AI) based expert systems (ES) in the management of these networks. This paper presents a design of a Decision Support System (DSS) that facilitates "on-demand'' knowledge generation by utilizing results of simulation runs of a suitably calibrated and validated hydraulic model of an existing aged WDN corresponding to emergent or even hypothetical but likely scenarios. The DSS augments the capability of a conventional expert system by integrating together the hydraulic modelling features with heuristics based knowledge of experts under a common, rules based, expert shell named CLIPS (C Language Integrated Production System). In contrast to previous ES, the knowledge base of the DSS has been designed to be dynamic by superimposing CLIPS on Structured Query Language (SQL). The proposed ES has an inbuilt calibration module that enables calibration of an existing (aged) WDN for the unknown, and unobservable, Hazen-Williams C-values. In addition, the daily run and simulation modules of the proposed ES further enable the CLIPS inference engine to evaluate the network performance for any emergent or suggested test scenarios. An additional feature of the proposed design is that the DSS integrates computational platforms such as MATLAB, open source Geographical Information System (GIS), and a relational database management system (RDBMS) working under the umbrella of the Microsoft Visual Studio based common user interface. The paper also discusses implementation of the proposed framework on a case study and clearly demonstrates the utility of the application as an able aide for effective management of the study network.
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