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- Volume 14, Issue 2, 2019
Current Signal Transduction Therapy - Volume 14, Issue 2, 2019
Volume 14, Issue 2, 2019
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1,3,5-Triazine Analogs: A Potent Anticancer Scaffold
Authors: Rajeev Kumar, Neeraj Kumar, Ram K. Roy and Anita SinghBackground: This review presents the exhaustive exploration of 1,3,5-triazine scaffold for development of analogs of anticancer drugs, over the last century. In the recent years, striazine moiety has been one of the most studied moiety, showing broad-spectrum pharmacological activities such as antibacterial, antifungal, analgesic, anti-HIV, antileishmanial, antitrypanosomal, antimalarial and antiviral. Nowadays, many boffins are h Read More
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Novel Target Sites for Drug Screening: A Special Reference to Cancer, Rheumatoid Arthritis and Parkinson’s Disease
Authors: Neeraj Kumar, Anita Singh, Dinesh K. Sharma and Kamal KishoreBackground: The humans can be affected by more than 100 types of cancers in which about 22 % cancer death are caused by tobacco, 10% due to alcohol and obesity, 5-10 % by genetic defects and 20 % by infections. Rheumatoid arthritis, an autoimmune disorder, occurs mostly in middle age, affects 2.5 times more to females than males and till 2015, more than 24.5 Million people get affected from this disorder. The deat Read More
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Current Therapy and Computational Drug Designing Approaches for Neurodegenerative Diseases -with Focus on Alzheimer’s and Parkinson’s.
By Indrani BeraBackground: Neurodegenerative diseases are age-related ailments which are characterized by progressive neuronal damage and loss. These diseases can be caused by both genetic and environmental factors. Alzheimer’s and Parkinson’s are the most predominant neurodegenerative diseases. Though various research strategies have been employed to eliminate the cause of the disease, till date successful strategies a Read More
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To Minimize Fault Report and Bug Fixing Time using an Efficient Integration of Instance and Aspect Preferment Algorithm
Authors: K.S. Maharasan and V. SaravananBackground: Data mining is an emerged and promising technology, and it utilized in the software engineering development process. It does not only enhance the accurateness, it also improves the reliability of the software. A software development application error is a fault or bug in a computer program. It produces wrong or unexpected outcomes. In traditional software development, faults manually triaged through a Read More
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Synchronization Based on Node Balance Set for Energy Conservation in Wireless Sensor Networks
Authors: Nejah Nasri, Salim El Khediri, Mansour Rached and Abdennaceur KachouriBackground: In a Wireless Sensor Network, one of the important issues is minimizing energy consumption without losing accuracy during data transmission. Communication must be released in an optimized way, which enhances energy efficiency in the networks. Methods: By applying various techniques especially node balance set, the network lifetime is increased and delay is minimized. To accomplish node balance se Read More
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A Grayscale Image Hiding Encode Scheme for Secure Transmission
Authors: C. Narmatha, P. Manimegalai and S. ManimuruganBackground: To transmit the secret data are in a secure manner or to prevent the intruder/ third party activities while transmitting secret data’s through the public networks are challenging task now. In order to deal with these situations, this paper presents an encryption/encoding technique of MSI (Modified Steganography for Image) for secret data before transmitting over the network. Methods: The MSI technique is classifie Read More
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A Hybrid Security System Based on Bit Rotation and Chaotic Maps
More LessBackground: This paper presents an image security system by combining bit rotation with block based chaotic maps cryptography. Methods: The system uses permutation technique that divides the image into blocks before applying right/left rotation of bits to the pixel values based on a randomly generated key. Then, the image blocks are fused together. A scrambling operation followed by chaotic map is applied on the r Read More
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Identifying User Suitability in sEMG Based Hand Prosthesis Using Neural Networks
Authors: G. Emayavaramban, A. Amudha, T. Rajendran, M. Sivaramkumar, K. Balachandar and T. RameshBackground: Identifying user suitability plays a vital role in various modalities like neuromuscular system research, rehabilitation engineering and movement biomechanics. This paper analysis the user suitability based on neural networks (NN), subjects, age groups and gender for surface electromyogram (sEMG) pattern recognition system to control the myoelectric hand. Six parametric feature extraction algorithms are u Read More
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Volumes & issues
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Volume 20 (2025)
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Volume 19 (2024)
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Volume 18 (2023)
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Volume 17 (2022)
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Volume 16 (2021)
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Volume 15 (2020)
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Volume 14 (2019)
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Volume 13 (2018)
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Volume 12 (2017)
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Volume 11 (2016)
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Volume 10 (2015)
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Volume 9 (2014)
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Volume 8 (2013)
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Volume 7 (2012)
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Volume 6 (2011)
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Volume 5 (2010)
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Volume 4 (2009)
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Volume 3 (2008)
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Volume 2 (2007)
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Volume 1 (2006)
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