Efikasni algoritmi kompjuterskih metoda pri utvrđivanju stanja naprezanja kočionih mehanizama metodom konačnih elemenata (MKE)

Designing of the high-performance algorithms by the computer methods at the establishing of the states of stress of the brake mechanisms by the methods of the final elements is very substantial with fast and precise analysis of the state of stress and rigidity of the machine parts and the fits of machine parts affter forming its virtual, and later as well as real geometry. There are multiple reasons for it, and they include: economy, interchangeability and primarily its operating certainty, whose function is unavoidable especially with the parts as the brake mechanisms. To that effect are the results in the designing obtained by final elements analysis (FEA) or similar methods, very useful.Algoritmi su vrlo bitni kod brze i točne analize naprezanja i krutosti strojnih djelova i sklopova poslije obrazovanja njegove virtuelne, a kasnije i stvarne geometrije. Višestruki su razlozi za to, kao što su: ekonomičnost, izmjenljivost djelova a prvenstveno njegova eksploataciona pouzdanost čija je funkcija nezaobilazna naročito kod djelova kao što su kočioni mehanizmi

The high-performance algorithm of the computer methods at the establishing of the states of stress of the brake mechanism by the finite element method (FEM)

Designing of the high-performance algorithms by the computer methods at the establishing of the states of stress of the brake mechanisms by the methods of the final elements is very substantial with fast and precise analysis of the state of stress and rigidity of the machine parts and the fits of machine parts affter forming its virtual, and later as well as real geometry. There are multiple reasons for it, and they include: economy, interchangeability and primarily its operating certainty, whose function is unavoidable especially with the parts as the brake mechanisms. To that effect are the results in the designing obtained by final elements analysis (FEA) or similar methods, very useful

EAES Recommendations for Recovery Plan in Minimally Invasive Surgery Amid COVID-19 Pandemic

Background: COVID-19 pandemic presented an unexpected challenge for the surgical community in general and Minimally Invasive Surgery (MIS) specialists in particular. This document aims to summarize recent evidence and experts' opinion and formulate recommendations to guide the surgical community on how to best organize the recovery plan for surgical activity across different sub-specialities after the COVID-19 pandemic. Methods: Recommendations were developed through a Delphi process for establishment of expert consensus. Domain topics were formulated and subsequently subdivided into questions pertinent to different surgical specialities following the COVID-19 crisis. Sixty-five experts from 24 countries, representing the entire EAES board, were invited. Fifty clinicians and six engineers accepted the invitation and drafted statements based on specific key questions. Anonymous voting on the statements was performed until consensus was achieved, defined by at least 70% agreement. Results: A total of 92 consensus statements were formulated with regard to safe resumption of surgery across eight domains, addressing general surgery, upper GI, lower GI, bariatrics, endocrine, HPB, abdominal wall and technology/research. The statements addressed elective and emergency services across all subspecialties with specific attention to the role of MIS during the recovery plan. Eighty-four of the statements were approved during the first round of Delphi voting (91.3%) and another 8 during the following round after substantial modification, resulting in a 100% consensus. Conclusion: The recommendations formulated by the EAES board establish a framework for resumption of surgery following COVID-19 pandemic with particular focus on the role of MIS across surgical specialities. The statements have the potential for wide application in the clinical setting, education activities and research work across different healthcare systems

EAES Recommendations for Recovery Plan in Minimally Invasive Surgery Amid COVID-19 Pandemic

Background: COVID-19 pandemic presented an unexpected challenge for the surgical community in general and Minimally Invasive Surgery (MIS) specialists in particular. This document aims to summarize recent evidence and experts’ opinion and formulate recommendations to guide the surgical community on how to best organize the recovery plan for surgical activity across different sub-specialities after the COVID-19 pandemic. Methods: Recommendations were developed through a Delphi process for establishment of expert consensus. Domain topics were formulated and subsequently subdivided into questions pertinent to different surgical specialities following the COVID-19 crisis. Sixty-five experts from 24 countries, representing the entire EAES board, were invited. Fifty clinicians and six engineers accepted the invitation and drafted statements based on specific key questions. Anonymous voting on the statements was performed until consensus was achieved, defined by at least 70% agreement. Results: A total of 92 consensus statements were formulated with regard to safe resumption of surgery across eight domains, addressing general surgery, upper GI, lower GI, bariatrics, endocrine, HPB, abdominal wall and technology/research. The statements addressed elective and emergency services across all subspecialties with specific attention to the role of MIS during the recovery plan. Eighty-four of the statements were approved during the first round of Delphi voting (91.3%) and another 8 during the following round after substantial modification, resulting in a 100% consensus. Conclusion: The recommendations formulated by the EAES board establish a framework for resumption of surgery following COVID-19 pandemic with particular focus on the role of MIS across surgical specialities. The statements have the potential for wide application in the clinical setting, education activities and research work across different healthcare systems. © 2020, The Author(s)