Bioinspired micrograting arrays mimicking the reverse color diffraction elements evolved by the butterfly Pierella luna

Recently, diffraction elements that reverse the color sequence normally observed in planar diffraction gratings have been found in the wing scales of the butterfly Pierella luna. Here, we describe the creation of an artificial photonic material mimicking this reverse color-order diffraction effect. The bioinspired system consists of ordered arrays of vertically oriented microdiffraction gratings. We present a detailed analysis and modeling of the coupling of diffraction resulting from individual structural components and demonstrate its strong dependence on the orientation of the individual miniature gratings. This photonic material could provide a basis for novel developments in biosensing, anticounterfeiting, and efficient light management in photovoltaic systems and light-emitting diodes.United States. Air Force Office of Scientific Research. Multidisciplinary University Research Initiative (Award FA9550-09-1-0669-DOD35CAP)Alexander von Humboldt-Stiftung (Feodor Lynen Postdoctoral Research Fellowship

Incidence and nature of medical attendance injuries in English community rugby union:Rugby union medical attendance injuries

BACKGROUND: Previous research has identified injury patterns during community-level rugby union match play, but none have investigated the frequency and reasons for on-field injury management. PURPOSE: To establish the frequency, reasons, and patterns of on-field injury management in English community rugby, including differences between different levels of play. STUDY DESIGN: Descriptive epidemiology study. METHODS: Over 3 seasons, injury information was collected from 46 (2009-2010), 67 (2010-2011), and 76 (2011-2012) English community clubs (Rugby Football Union [RFU] levels 3-9). Club injury management staff reported information for all medical attendances during match play, including details on the injury site and type, playing position (seasons 2010-2011 and 2011-2012 only), and whether the player was removed from play. Clubs were subdivided into groups A (RFU levels 3 and 4 [mainly semiprofessional]; n = 39), B (RFU levels 5 and 6 [mainly amateur]; n = 71), and C (RFU levels 7-9 [social and recreational]; n = 79) to differentiate playing levels. RESULTS: The overall medical attendance incidence was 229 per 1000 player-match hours (95% CI, 226-232), with 45 players removed per 1000 player-match hours (95% CI, 44-46). Attendance incidence for group A (294 per 1000 player-match hours; 95% CI, 287-301) was higher compared with group B (213; 95% CI, 208-218; P < .001) and C (204; 95% CI, 200-209; P < .001). There was a higher incidence of attendances to forwards (254; 95% CI, 249-259) compared with backs (191; 95% CI, 187-196; P < .001). The head was the most common specific site of injury (55 per 1000 player-match hours; 95% CI, 53-57) but the lower limb region overall accounted for most attendances (87; 95% CI, 85-89) and the greatest chance of removal from the pitch (22; 95% CI, 21-23). CONCLUSION: With the likelihood of 1 injury for each team per match severe enough for the player to leave the pitch and with at least 1 attendance for a head injury per match, there is clear evidence that pitch side staff should be trained to recognize potentially serious injuries

Association of the Functional Movement Screen™ with match-injury burden in men’s community rugby union

Evidence supporting use of the Functional Movement Screen (FMSTM) to identify athletes’ risk of injury is equivocal. Furthermore, few studies account for exposure to risk during analysis. This study investigated the association of FMSTM performance with incidence and burden of match-injuries in adult community rugby players. 277 players performed the FMSTM during pre-season and in-season time-loss injuries and match exposure were recorded. The associations between FMSTM score, pain, and movement-pattern asymmetries with match-injury incidence (≥8-days time-loss/1000hours), severe match-injury incidence (&gt;28-days time-loss/1000hours), and match-injury burden (total time-loss days/1000hours for ≥8-days match-injuries) were analysed using Poisson regression. Multivariate analysis indicated players with pain and movement-pattern asymmetry during pre-season had 2.9 times higher severe match-injury incidence (RR, 90%CI = 2.9, 0.9–9.7) and match-injury burden (RR, 90%CI = 2.9, 1.3–6.6). Players with a typically low FMSTM score (mean – 1SD threshold) were estimated to have a 50% greater match-injury burden compared to players with a typically high FMSTM score (mean + 1SD threshold) as match-injury burden was 10% lower per 1-unit increase in FMSTM score. As the strongest association with injury outcome was found for players with pain and asymmetry, when implementing the FMSTM it is advisable to prioritise these players for further assessment and subsequent treatment