ISSN (Print): 1574-3624
ISSN (Online): 2212-389X
Volume 13, 2 Issues, 2018
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ISSN (Print): 1574-3624
ISSN (Online): 2212-389X
Aims & Scope
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Jingxuan YangThe University of Oklahoma Health Science CenterOklahoma City, OKUSA
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8 Abstract Ahead of Print are available electronically
17 Articles Ahead of Print are available electronically
Signal transduction is the process by which a chemical or physical signal is transmitted through a
cell as a series of molecular events, most commonly protein phosphorylation, which ultimately
result in a response. Proteins responsible for detecting stimuli are generally termed receptors,
although in some cases the term sensor is used. The changes elicited by ligand binding (or signal
sensing) in a receptor give rise to a cascade of biochemical events along a signaling pathway.
When signaling pathways interact with one another they form networks, which allow cellular
responses to be coordinated. At the molecular level, such responses include changes in
the transcription or translation of genes, and post-translational and conformational changes in
proteins, as well as changes in their location. These molecular events are the basic mechanisms
controlling cell growth, proliferation, metabolism and many other processes. In multicellular
organisms, signal transduction pathways have evolved to regulate cell communication in a wide
variety of ways. Abnormal signal transduction produces many diseases such
as cancer, rheumatoid arthritis, and Parkinson’s disease. A number of approaches have been
documented, including natural, synthetic as well as computational tools which are being studied
in this context. Screening the natural products, large combinatorial chemistry libraries and with
the advent of computational biology including proteomics, genomics and the analysis of
signaling pathways and networks has become an essential tool to understand cellular functions
and disease mechanisms. This could pave a new way for the design and discovery of potential
compounds active against abnormal signal transduction therapy.
This thematic issue of Current Signal Transduction Therapy aims at featuring the latest
developments of cell signaling research and to encourage design and development of new drug
treatments against cancer, inflammatory and neurodegenerative diseases associated to abnormal
signal transduction. This special thematic issue is an effort to provide the recent updates through
good-quality research/review papers including most recent patents filed in the relevant areas.
Nine outstanding reviews articles and research will be published in this issue of 2018. Herein, we
have provided a glimpse of few articles.
S. Menaka and Dr. S. Muralidharan have used Genetic Algorithm (GA) and Particle Swarm Optimization
(PSO) as a tool for Harmonic Profile Optimization in Symmetric Multilevel Inverter (MLI) used in
Medical Electronic Equipments. Understanding that High power quality is the very basic important requirement
for MLI used in medical electronic equipment, the authors have highlighted this as an optimization
problem and have worked upon and have provided optimum results.
J. Gnanavadivel et al., understanding the importance of installing high power LED lighting system
for health care applications which lessen equipment maintenance and remove the hazardous material
usage like mercury (Hg), have proposed a work on the design and implementation of high power led
lighting system for health care applications. Knowing that conventional front-end rectifiers produces
line current distortion and trim down the power factor, which results in lowering of power quality for
Light Emitting Diode (LED) drive system, the authors have proposed a comparative analysis between
novel PI controller tuned by fuzzy logic controller with conventional PI controller for modified SEPIC
rectifier to generate the required load voltage along with supply side unity power factor and less
distorted supply current with limited harmonic content for LED lighting in health care applications.
S. Rajasekaran et al. have proposed a work on optimal location identification for FACTS devices to
improve voltage stability with economic consideration using Firefly algorithm. Increasing power demand
forces the power systems to operate at their maximum operation conditions which would lead
the power system into voltage instability. The authors have studied this problem well and has come out
with better results by employing the proposed algorithms testing with four different cases such as normal
case, line outage case, generator outage case and overloading case (140%) and verified that the
proposed method enhanced the voltage stability in IEEE 14, 13, 57 and 118 bus systems.
We would like to express my gratitude to all contributing authors of this issue, who have made
great efforts in under-standing the importance of Real time processing in Control, Computer Vision
and Power electronics under various applications of engineering.