From 0b710f8aeca747ea65edc85f7f58bd21a15a1bcd Mon Sep 17 00:00:00 2001 From: Replit user <> Date: Fri, 9 Feb 2024 21:33:01 +0000 Subject: [PATCH] Strip trailing whitespace --- paper.bib | 10 +++++----- 1 file changed, 5 insertions(+), 5 deletions(-) diff --git a/paper.bib b/paper.bib index 1a3636ba0..cee2a855b 100644 --- a/paper.bib +++ b/paper.bib @@ -186,13 +186,13 @@ @article{collier2013parallel month={11}, doi = {10.1177/0037549712462620}, -URL = { +URL = { https://doi.org/10.1177/0037549712462620 - + }, -eprint = { +eprint = { https://doi.org/10.1177/0037549712462620 - + } , abstract = { In the last decade, agent-based modeling and simulation (ABMS) has been applied to a variety of domains, demonstrating the potential of this technique to advance science, engineering, and policy analysis. However, realizing the full potential of ABMS to find breakthrough research results requires far greater computing capability than is available through current ABMS tools. The Repast for High Performance Computing (Repast HPC) project addresses this need by developing a useful and useable next-generation ABMS system explicitly focusing on larger-scale distributed computing platforms. Repast HPC is intended to smooth the path from small-scale simulations to large-scale distributed simulations through the use of a Logo-like system. This article’s contribution is its detailed presentation of the implementation of Repast HPC as a useful and usable framework, a complete ABMS platform developed explicitly for larger-scale distributed computing systems that leverages modern C++ techniques and the ReLogo language. } @@ -244,7 +244,7 @@ @software{moreno2020conduit url = {https://doi.org/10.5281/zenodo.4118608} } - @misc{world_academy_of_science_engineering_and_technology_2019, title={ Open Science Philosophy}, url={https://waset.org/files/Open-Science-Philosophy.pdf}, journal={World Academy of Science, Engineering and Technology}, year={2019}} + @misc{world_academy_of_science_engineering_and_technology_2019, title={ Open Science Philosophy}, url={https://waset.org/files/Open-Science-Philosophy.pdf}, journal={World Academy of Science, Engineering and Technology}, year={2019}} @article{10.1145/3185517, author = {Dudley, John J. and Kristensson, Per Ola},