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 |
Files in This Item:
There are no files associated with this item.
Items in DSpace are protected by copyright, with all rights reserved, unless otherwise indicated.