Conclusions: MSM are disproportionately affected by a broad range of harmful health behaviours and poor health outcomes. Of all MSM, 8.4 % had experienced poor health outcomes in all three domains - physical, mental, and sexual health - in contrast to 1.5 % of all MSEW. MSM were also more likely than MSEW to report poor health behaviours and outcomes both within and across the three health domains considered. MSM were more likely to report harmful sexual health behaviours, e.g., condomless sex with ≥2 partners/past year (3.52, 2.13-5.83), and poor sexual health outcomes, including STI diagnosis/es (5.67, 2.67-12.04), poorer sexual function (2.28, 1.57-3.33), both past year, and ever-experience of attempted non-volitional sex (6.51, 4.22-10.06). MSM were as likely as MSEW (n = 5,069) to perceive their health was 'bad'/'very bad', despite MSM being more likely to report a long-standing illness/disability/infirmity (adjusted odds ratio, AOR: 1.46, 95 % CI:1.02-2.09), treatment for depression/past year (2.75, 1.69-4.47), and substance use (e.g., recreational drug use/past year: 3.46, 2.22-5.40). Results: Among all men, 2.6 % (n = 190) were defined as MSM, of whom 52.5 % (95 % CI: 43.6 %-61.2 %) identified as gay. We used multivariable regression to compare MSM relative to MSEW in their reporting of variables, individually and collectively, corresponding to three domains: physical, mental, and sexual health. Methods: Britain's third National Survey of Sexual Attitudes and Lifestyles (Natsal-3), a probability sample survey, interviewed 15,162 people aged 16-74 years (6,293 men) during 2010-2012 using computer-assisted personal-interviewing with a computer-assisted self-interview. National probability survey data provide a rare opportunity to examine the broader sociodemographic, behavioural, and health profiles of MSM, defined as men who reported ≥1 male sexual partner(s) in the past 5 years, and thus regardless of their sexual identity, in comparison to men reporting sex exclusively with women (MSEW) during this time, and also the extent that health inequalities cluster. At this stage you might want to do a sensitivity analysis on parameters you think might fluctuate.Background: To date, research on men who have sex with men (MSM) has largely focused on their sexual health needs and on men recruited from gay-orientated venues. Analyse results and provide geotechnical engineering recommendations for your slopes. Be mindful of groundwater conditions during modelling. To be sure that you have found the critical failure surface you need to try to optimize the slip surface as much as possible and try different modes of failure (circular and block search failures). Present 1-2 sections with minimum factor of safety and critical surfaces. Find the critical sections to be analysed. Give some good references for selecting appropriate factor of safety for your analysis (depends on short term, long term analysis or static vs dynamic analysis). Give some solid interpretation of your design/soil parameters and geometry. Slope/w from Geoslope is another option with very similar capabilities that is mostly used in Europe. Probably Slide from Rockscience is your best option, mostly used in US.