3,605 research outputs found
The optimal P3M algorithm for computing electrostatic energies in periodic systems
We optimize Hockney and Eastwood's Particle-Particle Particle-Mesh (P3M)
algorithm to achieve maximal accuracy in the electrostatic energies (instead of
forces) in 3D periodic charged systems. To this end we construct an optimal
influence function that minimizes the RMS errors in the energies. As a
by-product we derive a new real-space cut-off correction term, give a
transparent derivation of the systematic errors in terms of Madelung energies,
and provide an accurate analytical estimate for the RMS error of the energies.
This error estimate is a useful indicator of the accuracy of the computed
energies, and allows an easy and precise determination of the optimal values of
the various parameters in the algorithm (Ewald splitting parameter, mesh size
and charge assignment order).Comment: 31 pages, 3 figure
Students Without Documentation: Context and Solutions to Navigating Systemic Barriers in Higher Education
This professional project includes five chapters, with the fourth chapter being a draft of an article, which is the culmination of this professional project. This professional project identified gaps in past literature and examined institutional barriers that impact access to higher education institutions for students without documentation (SWD) at the state and federal levels. The draft of the article for this project will explore the policy and sociopolitical context that impacts SWD as they navigate higher education. Further, the article draft suggests ways to support SWD informed by past literature. The social factors that impact SWD and will be discussed are the following: social capital, mental health, misconceptions, and invisibility. Lastly, the draft of the article concludes with an action plan for educational professionals and relevant ways to advocate for SWD to help them thrive in higher education and life. The importance of a long-term solution at the federal level for immigration reform to increase access to higher education institutions for SWD will be emphasized.
Keywords: immigration, students without documentation, DACA, DREAMers, higher education
Enforcing Intellectual Property Rights by Diminishing Privacy: How the Anti-Counterfeiting Trade Agreement Jeopardizes the Right to Privacy
Lee-Carter method for forecasting mortality for Peruvian Population
In this article, we have modeled mortality rates of Peruvian female and male populations during the period of 1950-2017 using the two-factor Lee-Carter (LC) model. The stochastic mortality model was introduced by Lee and Carter (1992) and has been used by many authors for fitting and forecasting the human mortality rates. The Singular Value Decomposition (SVD) approach is used for estimation of the parameters of the LC model. Utilizing the best fitted auto regressive integrated moving average (ARIMA) model we forecast the values of the time dependent parameter of the LC model for the next thirty years. The forecasted values of life expectancy at different age group with 95% confidence intervals are also reported for the next thirty years. In this research we use the data, obtained from the Peruvian National Institute of Statistics (INEI).
In this article, we have modeled mortality rates of Peruvian female and male populations during the period of 1950-2017 using the two-factor Lee-Carter (LC) model. The stochastic mortality model was introduced by Lee and Carter (1992) and has been used by many authors for fitting and forecasting the human mortality rates. The Singular Value Decomposition (SVD) approach is used for estimation of the parameters of the LC model. Utilizing the best fitted auto regressive integrated moving average (ARIMA) model we forecast the values of the time dependent parameter of the LC model for the next thirty years. The forecasted values of life expectancy at different age group with 95% confidence intervals are also reported for the next thirty years. In this research we use the data, obtained from the Peruvian National Institute of Statistics (INEI).
 
Lee-Carter method for forecasting mortality for Peruvian Population
In this article, we have modeled mortality rates of Peruvian female and male
populations during the period of 1950-2017 using the Lee-Carter (LC) model. The
stochastic mortality model was introduced by Lee and Carter (1992) and has been
used by many authors for fitting and forecasting the human mortality rates. The
Singular Value Decomposition (SVD) approach is used for estimation of the
parameters of the LC model. Utilizing the best fitted auto regressive
integrated moving average (ARIMA) model we forecast the values of the time
dependent parameter of the LC model for the next thirty years. The forecasted
values of life expectancy at different age group with confidence
intervals are also reported for the next thirty years. In this research we use
the data, obtained from the Peruvian National Institute of Statistics (INEI).Comment: 16 pages, 6 figure
- …