The efficacy of an antisepsis protocol comprising chlorhexidine gluconate and ethyl alcohol in combination with prophylactic antimicrobial therapy in controlling surgical site infection in horses was studied. To that purpose, seven mixed breed horses received potassium penicillin and gentamicin at least 30 minutes prior to surgery. The surgical site was scrubbed with chlorhexidine gluconate and rinsed with ethyl alcohol. Samples were collected at four time points: (A) - before and (B) - immediately following shaving of the hair coat, (C) - at the end of antisepsis procedures, and (D) - at the end of the surgical procedure. Duration of surgery was recorded. Samples were cultured in three different culture mediums: Mitis Salivarus (Streptococcus sp.), Staphylococcus 110 (Staphylococcus sp.), and Mac Conkey (Enterobacteria). A high level of bacterial growth was observed in all culture mediums at (A) and (B), with no bacterial growth in (C). Staphylococcus sp. growth was observed in (D) in a single patient whose surgical procedure lasted for 120 minutes. Shaving of the hair coat reduced microbial flora on the surface of the skin. Antisepsis in combination with prophylactic antimicrobial therapy was effective in controlling surgical site infection in elective procedures with an average duration of 90 minutes.
Wind energy expansion is worldwide followed by various limitations, i.e. land availability, the NIMBY (not in my backyard) attitude, interference on birds migration routes and so on. This undeniable expansion is pushing wind farms near populated areas throughout the years, where noise regulation is more stringent. That demands solutions for the wind turbine (WT) industry, in order to produce quieter WT units. Focusing in the subject of airfoil noise prediction, it can help the assessment and design of quieter wind turbine blades. Considering the airfoil noise as a composition of many sound sources, and in light of the fact that the main noise production mechanisms are the airfoil self-noise and the turbulent inflow (TI) noise, this work is concentrated on the latter. TI noise is classified as an interaction noise, produced by the turbulent inflow, incident on the airfoil leading edge (LE). Theoretical and semi-empirical methods for the TI noise prediction are already available, based on Amiet’s broadband noise theory. Analysis of many TI noise prediction methods is provided by this work in the literature review, as well as the turbulence energy spectrum modeling. This is then followed by comparison of the most reliable TI noise methodologies, qualitatively and quantitatively, with the error estimation, compared to the Ffowcs Williams-Hawkings solution for computational aeroacoustics. Basis for integration of airfoil inflow noise prediction into a wind turbine noise prediction code is the final goal of this work.
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