12/30/2023 0 Comments David theofil ponforThe Court of Appeals upheld the district court’s ruling that Pon’s expert’s theory was unreliable, noting that even Pon’s expert recognized that his theory had not been scientifically tested and he had “not seen … clinical data” about it. He also argued that the United States should not have been allowed to present rebuttal evidence showing that Pon had billed Medicare for performing services on a patient’s blind left eye, or, at a minimum, should have allowed him to respond more extensively to that evidence in surrebuttal. He argued that the district court should have allowed his expert to testify about a theoretical treatment method for wet macular degeneration. He instead challenged the district court’s evidentiary rulings at trial. On appeal, Pon did not challenge the sufficiency of the evidence against him. Several of the misdiagnosed patients testified and explained the significant emotional impact the false diagnosis had on their lives, including the fear of going blind as a result of the disease they supposedly had. Pon then used his false diagnoses to bill the Medicare program for unnecessary diagnostic testing and unwarranted laser treatments. The Eleventh Circuit also rejected Pon’s challenges to his 121-month sentence.Īccording to evidence presented at his trial, Pon, an ophthalmologist, intentionally and fraudulently misdiagnosed hundreds of Medicare beneficiaries as suffering from wet macular degeneration, a degenerative and incurable eye disease. This website was created on July 2019 and is updated at best effort basis.Tampa, Florida - United States Attorney Maria Chapa Lopez announces that the United States Court of Appeals for the Eleventh Circuit has upheld the convictions of Dr. Konstantinos Theofilatos is an Associate Professor of Physics in National and Kapodistrian University of Athens. Higher order optimization (which could be problem-specific) to be discussed in class or in homework assigments. Instead, it is purposefully attempted to just demonstrate the core ideas of the underline algorithms, leaving That is to say, the code is not always optimized having in mind efficiency of execution.įine tuning of the execution flow, while important for speed and precision, often obscures transparency at first site. assume little, or zero programming skills.code length should be minimal and take least effort to comprehend.reflect the math forms taught symbolically as-they-appear in the lecture. The code in CompPhysics/examples is provided for demonstration purposes and is written having in mind three principles: main repository in github: theofil/CompPhysics.In that case you just need to browse the code in. You can use your gmail/android account to open via all code write-ups. Warning the launching of the interactive environment takes approximately *~0.5-5 minutes, depending on the load, so be patient! Or if you have a Google account (free registration) To launch an interactive Python3 environment and play with templates and examples of computational algorithms taught in the course. Launch Interactive Computational Environment (no registration needed) The students are strongly encouraged to create their own favorite environment (C/C++, FORTRAN, Matlab, Java, R, Mathematica, Python, Julia … you name it) in their personal computer, once they feel ready to do so. The usage of the present computational environment is optional and is only meant to serve those that find it useful. Without having the burden to install manually on their own any software in a private computer. This website provides a cloud-based interactive computing environment, for my undergraduate course (3rd semester, obligatory) of Computational Physics Υπολογιστική Φυσική 10ΥΚΟ21, in National and Kapodistrian University of Athens (2019-2022).īy using this custom made interactive environment, the students are be able to study and practice real implementations of the course’s material
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