Please use this identifier to cite or link to this item: http://hdl.handle.net/123456789/2669
Title: Multi-variable optimization for surface roughness and micro-hardness in MQL assisted face milling of EN31 steel using Taguchi based grey relational analysis
Authors: Aayush Sehgal
Tapan Behl
Ishnoor Kaur
Sukhbir Singh
Neelam Sharma
Sandeep Arora
Keywords: MQLEN-31Taguchi based grey relational analysis
Issue Date: 2022
Publisher: NCBI
Abstract: In the past few years, the pathophysiological role of various factors in type 2 diabetes mellitus has been fully explored. Subsequently, this marked the progression in the development of a novel therapeutic agent. Such brain-derived neurotropic factors, including neurotrophic factor-2 and anti-inflammatory agents for the treatment of diabetes, have emerged. However, the therapeutic potential of endocannabinoids in type 2 diabetes mellitus is still not fully understood. At present, cannabinoids are under research for their therapeutic and safety profile issues in numerous thrust areas.
URI: 10.1111/bph.13226
http://hdl.handle.net/123456789/2669
Appears in Collections:Journals

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