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Indrajit Banerjee

Researcher at Indian Institute of Engineering Science and Technology, Shibpur

Publications -  201
Citations -  1993

Indrajit Banerjee is an academic researcher from Indian Institute of Engineering Science and Technology, Shibpur. The author has contributed to research in topics: Wireless sensor network & Key distribution in wireless sensor networks. The author has an hindex of 20, co-authored 180 publications receiving 1265 citations. Previous affiliations of Indrajit Banerjee include Chitwan Medical College & Bose Institute.

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Impact of ethnicity, unemployment and economy on mental disorders : A study from Western Nepal

TL;DR: The study showed that culture based differences concerning mental health is furthermediated by poverty, unemployment and dearth of family income which leads to high prevalence of psychiatric illness among Nepalese population.
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Belonephobia and finger pricking associated pain in hematology laboratory: A cross sectional study among undergraduate medical students in Nepal

TL;DR: Positive approaches like separation of lancing area, systematic exposure, behavioral therapy, counseling and administration of anti-anxiety drugs for severely needle phobics, can alleviate fear and anxiety.
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Plagiarism: Who is responsible author or the journal editors?

TL;DR: I am writing in context to an article recently been published in the Journal of Drug Delivery and Therapeutics, Volume 3, Issue 4, July-August 2013 entitled ‘’Medications For Anxiety: A Drug Utilization Study In Psychiatry Outpatients From A Tertiary Care Centre of Eastern India’’
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Case Based Approach in Pharmacology: A Novel Approach

TL;DR: In this paper, a case oriented approach in teaching pharmacology will make Pharmacology more interesting subject, this approach is a better approach so that the medical student will get the clinical scenario in the beginning of the topic.
Book ChapterDOI

A Novel Fault Detection and Replacement Scheme in WSN

TL;DR: A fault detection technique, which depends upon three components of the node, which exploits a node to the fullest extent possible before declaring it as faulty and a faulty-node replacement technique replaces a faulty node with a healthy node, based on a regression plain model.