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Reseña del Autor del premio Nobel
Reseña del Autor del premio Nobel
Reseña del Autor del premio Nobel
Wendy Tamayo
Teorema de Morley
Teorema de Morley
Demonstração do teorema de Morley
luiz
Should Self-Driving Cars be bound by Isaac Asimov's Three Laws of Robotics?
Should Self-Driving Cars be bound by Isaac Asimov's Three Laws of Robotics?
Discussing whether an Autonomous Car should be bounded by the 3 Laws of Robotics by comparing their definitions. This is the first research paper I have ever written so the references would be a lackluster.
Pradhyumnaa Ganapathi Subramanian
True photon mileage and the accelerating universe hypothesis
True photon mileage and the accelerating universe hypothesis
On the basis of the conclusions selectively gleaned from the history of ontological thought, it was assumed that the real geometry of the space of the Universe is the geometry of topologically fixed 3-dimensional hyper sphere. It claims that the understanding of metaphysical principles of space formation is important, resulting in the simplest mathematical approach to the calculation of actual astronomical distances. The comparisons of calculated lengths of trajectories of photons with the actual intergalactic distances reported by observers for different \(z\)-values are carried out using the selected assumptions. Photon mileage \(L_f = f (L_z, R_D)\) don't equal to the astronomical distance \(L_z\) detected by \(z\) value if \(R_D\) is the discrete quantum length of one of 4 space dimensions, associated with the curvature of space as a whole. The research concludes there is a good agreement between data obtained this way for star brightness with experimental data, when we speak about the hypothesis presupposing an accelerating growth of the Universe and abnormal brightness of supernovae; besides conclusions imply that adjustments to this hypothesis forward in the search of the values of brightness attenuation undetectable by today's tools are needed, otherwise, it could be talk about a possible expansion of our Universe in our era without accelerating.
V. A. Ivanov
Teaching and Research Statement
Teaching and Research Statement
Teaching and Research Statement example written for 2015 faculty search season.
W. Ethan Eagle
Programming
Programming
The Art, Science, and Engineering of Programming is a new journal created with the goal of placing the wonderful art of programming in the map of scholarly works. Many academic journals and conferences exist that publish research related to programming, starting with programming languages, software engineering, and expanding to the whole Computer Science field. Yet, many of us feel that, as the field of Computer Science expanded, programming, in itself, has been neglected to a secondary role not worthy of scholarly attention. That is a serious gap, as much of the progress in Computer Science lies on the basis of computer programs, the people who write them, and the concepts and tools available to them to express computational tasks. The Art, Science, and Engineering of Programming aims at closing this gap by focusing primarily on programming: the art itself (programming styles, pearls, models, languages), the emerging science of understanding what works and what doesn’t work in general and in specific contexts, as well as more established engineering and mathematical perspectives. This is an example of and a guide to writing articles for The Art, Science, and Engineering of Programming.
Tobias Pape, Crista Lopes, Robert Hirschfeld
experiments with the dynamics of the Riemann zeta function
experiments with the dynamics of the Riemann zeta function
We describe computer experiments suggesting that there is an infinite family L of Riemann zeta cycles Λ of each size L = 1, 2, 3, ....
Barry Brent
EL CELULAR
EL CELULAR
Ensayo El Celular
Luis Felipe Cabal Paredes
Methods to prevent overfitting and solve ill-posed problems in statistics: Ridge Regression and LASSO
Methods to prevent overfitting and solve ill-posed problems in statistics: Ridge Regression and LASSO
Linear regression is one of the most widely used statistical methods available today. It is used by data analysts and students in almost every discipline. However, for the standard ordinary least squares method, there are several strong assumptions made about data that is often not true in real world data sets. This can cause numerous problems in the least squares model. One of the most common issues is a model overfitting the data. Ridge Regression and LASSO are two methods used to create a better and more accurate model. I will discuss how overfitting arises in least squares models and the reasoning for using Ridge Regression and LASSO include analysis of real world example data and compare these methods with OLS and each other to further infer the benefits and drawbacks of each method.
Chris Van Dusen

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