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The Protoplanetary Discussions conference --- held in Edinburgh, UK, from 7th --11th March 2016 --- included several open sessions led by participants. This paper reports on the discussions collectively concerned with the multiphysics modelling of protoplanetary discs, including the self-consistent calculation of gas and dust dynamics, radiative transfer and chemistry. After a short introduction to each of these disciplines in isolation, we identify a series of burning questions and grand challenges associated with their continuing development and integration. We then discuss potential pathways towards solving these challenges, grouped by strategical, technical and collaborative developments. This paper is not intended to be a review, but rather to motivate and direct future research and collaboration across typically distinct fields based on \textit{community driven input}, to encourage further progress in our understanding of circumstellar and protoplanetary discs., Accepted for publication in PASA. 25 pages

A longitudinal cohort study was conducted to follow the health of 787 calves from one UK dairy farm over a two-and-a-half-year period. Weekly health scores were gathered using a modified version of the Wisconsin Calf Scoring system (which did not record ear position) until calves were eight weeks of age, combined with data on colostral passive transfer, mortality, age at first conception and 305-day milk yield. High morbidity levels were detected, with 87 per cent of calves experiencing at least one clinically significant event (diarrhoea, pyrexia, pneumonia, nasal or ocular discharge, navel ill or joint ill). High rectal temperature, diarrhoea and a cough were the most prevalent findings. The effect of total protein levels was significantly associated with the development of pyrexia as a preweaning calf (P

Personnel characteristics and occupational factors were investigated in order to identify groups with elevated risks of accidental injury in naval environments during first enlistments. The individual characteristics of age at enlistment, educational level, and mental ability all were found to relate significantly to injury when considered singly. When considered jointly, however, only education had a major effect on injury rate. In general, the results indicated that the same individual characteristics that predict poor military performance also predict risk of accidental injury. The occupational analysis identified a number of high-risk occupational specialties (occupations with injury rates above the Navy norm). With the exception of Hospital Corpsmen, all of these occupations were engineering, construction, or aviation specialties in which exposure to hazardous machinery or equipment was evident. Improved safety training and closer supervision should be considered for these personnel, particularly nonhigh school graduates. A modified life table technique was found to be appropriate for this type of longitudinal analysis where large and uneven withdrawals from the cohort occurred. Further analyses of large cohorts from high-risk occupations will be needed to understand the causal factors underlying observed differences in injury rate.