Women in Neurosurgery (WIN) have come a long way and are making inroads in every neurosurgical subspecialty. There has been a worldwide increase in the number of female neurosurgeons both in the training and practice. Although this is a welcome trend, gender equality at work in terms of opportunities, promotions, and pay scales are yet to be attained. This is more apparent in the developing and underdeveloped nations. Barriers for a female neurosurgeon exist in every phase before entering residency, during training, and at workplace. In the neurosurgical specialty, only a few women are in chief academic and leadership positions, and this situation needs to improve. WIN should be motivated to pursue fellowships, sub-specialty training, research, and academic activities. Furthermore, men should come forward to mentor women, only then the gender debates will disappear and true excellence in neurosurgery can be attained. This article reviews the issues that are relevant in the present era focusing on the barriers faced by female neurosurgeons in the developing and underdeveloped countries and the possible solutions to achieve gender equality in neurosurgery. The authors also present the data from the World WIN Directory collected as a part of Asian Congress of Neurological Surgeons-WINS project 2019. These numbers are expected to grow as the WIN progress and add value to the neurosurgical community at large.
Cardiovascular diseases, particularly coronary artery disease, pose big challenges to human life. Deployment of the stent is a preferable treatment for the above-mentioned disease. However, stents are usually made up of shape memory alloy called Nitinol. The poorer surface finish on the machined nitinol stents accelerates the migration of Nickel ions from the implanted nitinol stent, which is considered toxic and can lead to stenosis. The current study deals with controlling surface quality by minimising surface roughness and improving corrosion resistance. Femtosecond laser (fs-laser 10-15 s) micromachining was employed to machine the Nitinol surface to achieve sub-micron surface roughness. The Grey relational analysis (GRA)-coupled design of the experimental technique was implemented to determine optimal levels of four micromachining parameters (laser power, pulse frequency, scanning speed, and scanning pattern) varied at three levels to achieve minimum surface roughness and to maximise the volume ablation. The results show that to yield minimum surface roughness and maximum volume ablation, laser power and scanning speed are in a higher range. In contrast, the pulse frequency is lower, and the scanning pattern is in a zig-zag manner. ANOVA results manifest that scanning speed is the predominant factor in minimising surface roughness, followed by pulse frequency. Furthermore, the corrosion behaviour of the machined nitinol specimens was evaluated, and the results show that specimens with lower surface roughness had lower corrosion rates.