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Infrared dark clouds (IRDCs) are potential hosts of the elusive early phases of high mass star formation (HMSF). Here, we conduct an in-depth analysis of the fragmentation properties of a sample of 10 IRDCs, which have been highlighted as some of the best candidates to study HMSF within the Milky Way. To do so, we have obtained a set of large mosaics covering these IRDCs with Atacama Large Millimeter/submillimeter Array (ALMA) at Band 3 (or 3 mm). These observations have a high angular resolution (∼3 arcsec; ∼0.05 pc), and high continuum and spectral line sensitivity (∼0.15 mJy beam−1 and ∼0.2 K per 0.1 km s−1 channel at the N2H+ (1 − 0) transition). From the dust continuum emission, we identify 96 cores ranging from low to high mass (M  = 3.4−50.9 M⊙) that are gravitationally bound (αvir = 0.3−1.3) and which would require magnetic field strengths of B  = 0.3−1.0 mG to be in virial equilibrium. We combine these results with a homogenized catalogue of literature cores to recover the hierarchical structure within these clouds over four orders of magnitude in spatial scale (0.01–10 pc). Using supplementary observations at an even higher angular resolution, we find that the smallest fragments (<0.02 pc) within this hierarchy do not currently have the mass and/or the density required to form high-mass stars. None the less, the new ALMA observations presented in this paper have facilitated the identification of 19 (6 quiescent and 13 star-forming) cores that retain >16 M⊙ without further fragmentation. These high-mass cores contain trans-sonic non-thermal motions, are kinematically sub-virial, and require moderate magnetic field strengths for support against collapse. The identification of these potential sites of HMSF represents a key step in allowing us to test the predictions from high-mass star and cluster formation theories. [ABSTRACT FROM AUTHOR]

Background. The aim of this large retrospective long-term study was to investigate if age can be considered as prognostic factor for inferior outcomes after treatment of multi-ligament injuries of the knee. Methods. A retrospective study of the long-term outcomes of patients (n = 89) treated with multi-ligament injured knees was performed. Four age groups (< or > 28 years at injury and < or > 41 years at follow-up) were investigated. The visual analogue scale (pain and satisfaction), Lysholm score, Tegner score, Knee Society Score, SF-36 health questionnaire, cruciate ligament laxity by KT-1000, IKDC2000, need for workers' compensation, conventional and stress radiographs were assessed. Pearson correlations and t-tests were used to test for differences between the groups (p < 0.05). Results. Sixty-eight patients with a follow-up of 12 ± 8 years showed no significant difference with regards to age groups at follow-up in the total SF-36 health questionnaire, the VAS pain, VAS satisfaction, the total Knee Society score, the Tegner score (before, after and relative), the need for workers' compensation and the change of occupation. Conclusion. This study showed no significant correlation between the age of patients at injury and the outcomes after multi-ligament knee injuries. It seems that other factors such as injury pattern are more important factors for outcomes after multi-ligament knee injuries than age. [ABSTRACT FROM AUTHOR]

Summary: Porcine epidemic diarrhoea virus (PEDV) and porcine deltacoronavirus (PDCoV) were first identified in Canada in 2014. Surveillance efforts have been instrumental in controlling both diseases. In this study, we provide an overview of surveillance components for the two diseases in Ontario (Canada), as well as PEDV and PDCoV incidence and prevalence measures. Swine herds located in the Province of Ontario, of any type, whose owners agreed to participate in a voluntary industry‐led disease control programme (DCP) and with associated diagnostic or epidemiological information about the two swine coronaviruses, were eligible to be included for calculation of disease frequency at the provincial level. PEDV and PDCoV data stored in the industry DCP database were imported into the R statistical software and analysed to produce weekly frequency of incidence counts and prevalence counts, in addition to yearly herd‐level incidence risk and prevalence between 2014 and 2016. The yearly herd‐level incidence risk of PEDV, based on industry data, was 13.5%, 3.0% and 1.4% (95% CI: 11.1–16.2, 2.0–4.2, 0.8–2.3), while the yearly herd‐level incidence risk of PDCoV was 1.1%, 0.3%, and 0.1% (95% CI: 0.5–2.2, 0.1–0.9, 0.0–0.5), for 2014, 2015 and 2016, respectively. Herd‐level prevalence estimates for PEDV in the last week of 2014, 2015 and 2016 were 4.4%, 2.3% and 1.4%, respectively (95% CI: 3.1–6.0, 1.5–3.3, 0.8–2.2), while herd‐level prevalence estimates for PDCoV in the last week of 2014, 2015 and 2016 were 0.5%, 0.2% and 0.2%, respectively (95% CI: 0.1–1.2, 0.0–0.6, 0.0–0.6). Collectively, our results point to low and decreasing incidence risk and prevalence for PEDV and PDCoV in Ontario, making both diseases possible candidates for disease elimination at the provincial level. [ABSTRACT FROM AUTHOR]