42 research outputs found

    Orthopaedic-related trauma in e-hailing motorcycle drivers at a single centre in South Africa

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    BACKGROUND: Since the COVID-19 pandemic, there has been an increased usage of technologically based platforms throughout society. An example can be seen in the food and goods delivery industry, whereby e-hailing companies have shown a surge in both revenue and workforce. With this rise of e-hailing motorcycle drivers, a rise in road traffic accidents (RTAs) has also been noted. Our study set out to investigate the cumulative incidence of e-hailing motorcycle drivers sustaining orthopaedic-related trauma in comparison to the total number of orthopaedic trauma patients seen. The secondary aims included a treatment cost estimation as well as a qualification of the injuries sustained. METHODS: This was a prospective cross-sectional study conducted at a single centre, Tembisa Provincial Tertiary Hospital (TPTH), over a period of seven months. We included all e-hailing drivers using any form of motorcycle who experienced orthopaedic-related trauma while on duty. The cumulative incidence of the group was then determined. Lastly, a treatment cost estimation of the surgically managed group was generated and the injuries sustained were further qualified based on the type of injury, anatomical section injured, and management plan incurred. RESULTS: A total of 5 092 individuals experienced orthopaedic-related trauma, with 60 individuals being e-hailing motorcycle drivers who sustained injury while on duty. The cumulative incidence of the group was 118 per 10 000 patients over a seven-month period. A total estimated treatment cost of R2 781 941.70 was spent on the surgically managed group alone. Further analysis, in terms of injury qualification, revealed that 47 drivers experienced fractures or dislocations, with 34 of these injuries requiring surgical intervention. More extremity injuries were noted, with 28 injuries occurring to the upper limb and 34 injuries occurring to the lower limb. CONCLUSION: Our study determined the cumulative incidence of orthopaedic-related trauma in e-hailing motorcycle drivers at TPTH. The injuries they sustained were further qualified and suggestive to be more high velocity in nature, involving mostly the extremities. The treatment cost analysis was found to be an underestimation, and a more detailed cost analysis is suggested to quantify the true burden of this group on the Gauteng Department of Health.https://www.saoj.org.za/index.php/saoj/indexOrthopaedic SurgerySDG-03:Good heatlh and well-bein

    Factors affecting greenhouse microclimate and its regulating techniques: a review

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    This paper reviews factors affecting greenhouse microclimate and its regulating techniques towards upgrading the greenhouse applications in the area of southeast China which have little or very basic technology integration. The microclimate of greenhouse is apparently influenced by the shape and its orientation, the wind direction, the property of covering material, and the use of insect-proof screen as they eventually affect the total solar radiation, the thermal characterises, and the flow pattern inside. The natural ventilation and sun block are the most common method to cool the greenhouse, but more efficient evaporative cooling such as pad-fan system, misting/fogging system and roof sprinkler are required with extreme temperatures. The earth to air heat exchanger and the heat storage using phase change material may be used for heating or cooling throughout the year which are more economic and energy-saving than other traditional thermal technologies. The reviewed knowledge provides insights into upgrading greenhouse applications in Ningbo area towards more sustainable and efficient greenhouse farming

    Combination schemes for turning point prediction

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    We propose new forecast combination schemes for predicting turning points of business cycles. The combination schemes deal with the forecasting performance of a given set of models and possibly providing better turning point predictions. We consider turning point predictions generated by autoregressive (AR) and Markov-Switching AR models, which are commonly used for business cycle analysis. In order to account for parameter uncertainty we consider a Bayesian approach to both estimation and prediction and compare, in terms of statistical accuracy, the individual models and the combined turning point predictions for the United States and Euro area business cycles

    Determining crystal structures through crowdsourcing and coursework

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    We show here that computer game players can build high-quality crystal structures. Introduction of a new feature into the computer game Foldit allows players to build and real-space refine structures into electron density maps. To assess the usefulness of this feature, we held a crystallographic model-building competition between trained crystallographers, undergraduate students, Foldit players and automatic model-building algorithms. After removal of disordered residues, a team of Foldit players achieved the most accurate structure. Analysing the target protein of the competition, YPL067C, uncovered a new family of histidine triad proteins apparently involved in the prevention of amyloid toxicity. From this study, we conclude that crystallographers can utilize crowdsourcing to interpret electron density information and to produce structure solutions of the highest quality
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