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Computational Topology Techniques Help To Solve A  Long-Lasting Forensic Dilemma: Aldo Moro's Death (open access)

Computational Topology Techniques Help To Solve A Long-Lasting Forensic Dilemma: Aldo Moro's Death

The article shows how a recently-introduced method from algebraic topology, namely proximal planar vortex 1-cycles, might be helpful in detecting hidden features of the shapes and holes in images, therefore contributing to the solution of both cold and fresh forensic cases. They apply this technique in a recent case, Aldo Moro's death.
Date: November 13, 2018
Creator: Peters, James F. & Tozzi, Arturo
System: The UNT Digital Library
Charge stabilization via electron exchange: excited charge separation in symmetric, central triphenylamine derived, dimethylaminophenyl–tetracyanobutadiene donor–acceptor conjugates (open access)

Charge stabilization via electron exchange: excited charge separation in symmetric, central triphenylamine derived, dimethylaminophenyl–tetracyanobutadiene donor–acceptor conjugates

This article hypothesizes and demonstrates a new mechanism to stabilize the charge separated states via the process of electron exchange among the different acceptor entities in multimodular donor–acceptor conjugates. This work constitutes the first example of stabilizing charge-separated states via the process of electron exchange.
Date: November 13, 2020
Creator: Yadav, Indresh S.; Alsaleh, Ajyal Z.; Misra, Rajneesh & D'Souza, Francis
System: The UNT Digital Library
Using Machine Learning to Predict Genes Underlying Differentiation of Multipartite and Unipartite Traits in Bacteria (open access)

Using Machine Learning to Predict Genes Underlying Differentiation of Multipartite and Unipartite Traits in Bacteria

Article describes how, since the discovery of the second chromosome in the Rhodobacter spaeroides 2.4.1 in 1989 and the revelation of gene sequences, multipartite genomes have been reported in over three hundred bacterial species under nine different phyla. In this study, the authors have attempted to leverage machine learning as a means to identify the genetic factors that underlie the differentiation of bacteria with multipartite and unipartite genomes.
Date: November 13, 2023
Creator: Almalki, Fatemah; Sunuwar, Janak & Azad, Rajeev K.
System: The UNT Digital Library