Entropy (Basel) 2021 Nov 13;23(11). Epub 2021 Nov 13.

Department of Data Science, Ramapo College of New Jersey, Mahwah, NJ 07430, USA.

In this paper, we have modified the Detrended Fluctuation Analysis (DFA) using the ternary Cantor set. We propose a modification of the DFA algorithm, Cantor DFA (CDFA), which uses the Cantor set theory of base 3 as a scale for segment sizes in the DFA algorithm. An investigation of the phenomena generated from the proof using real-world time series based on the theory of the Cantor set is also conducted. This new approach helps reduce the overestimation problem of the Hurst exponent of DFA by comparing it with its inverse relationship with α of the Truncated Lévy Flight (TLF). CDFA is also able to correctly predict the memory behavior of time series.

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http://dx.doi.org/10.3390/e23111505 | DOI Listing |

http://www.ncbi.nlm.nih.gov/pmc/articles/PMC8622546 | PMC |

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PLoS Genet 2022 Jan 5;18(1):e1009968. Epub 2022 Jan 5.

Department of Medical and Molecular Genetics, Indiana University School of Medicine; Indianapolis, Indiana, United States of America.

Taxane-induced peripheral neuropathy (TIPN) is a devastating survivorship issue for many cancer patients. In addition to its impact on quality of life, this toxicity may lead to dose reductions or treatment discontinuation, adversely impacting survival outcomes and leading to health disparities in African Americans (AA). Our lab has previously identified deleterious mutations in SET-Binding Factor 2 (SBF2) that significantly associated with severe TIPN in AA patients. Read More

Entropy (Basel) 2021 Nov 13;23(11). Epub 2021 Nov 13.

Department of Data Science, Ramapo College of New Jersey, Mahwah, NJ 07430, USA.

In this paper, we have modified the Detrended Fluctuation Analysis (DFA) using the ternary Cantor set. We propose a modification of the DFA algorithm, Cantor DFA (CDFA), which uses the Cantor set theory of base 3 as a scale for segment sizes in the DFA algorithm. An investigation of the phenomena generated from the proof using real-world time series based on the theory of the Cantor set is also conducted. Read More

Risk Anal 2021 Oct 23. Epub 2021 Oct 23.

Berkeley Research Group LLC, Washington, DC, USA.

The evolution of risk identification and ultimately the public and private responses that have become known collectively as the "opioid crisis" is an important case study in risk management due to the reach and magnitude of its impacts. This article examines a number of "signals" related to opioid risks using the social amplification of risk framework (SARF) to investigate a limited set of public-sector activities and policy responses. We evaluate whether the SARF presents an effective lens to examine the serious shortcomings of risk management of opioid use, which has a history of risk attenuation and, more recently, evidence of risk amplification. Read More

Sensors (Basel) 2021 Sep 10;21(18). Epub 2021 Sep 10.

Centro de Tecnologías Físicas, Universitat Politècnica de València, 46022 València, Spain.

In this work, we analyze the effect of the distribution of transparent Fresnel regions over the focusing profile of Soret Zone Plates (SZP) based on binary sequences. It is shown that this effect becomes very significant in those fields where directional transducers are employed, such as microwaves or acoustics. A thorough analysis of both the SZP transmission efficiency and the focusing enhancement factor is presented. Read More

J Comput Biol 2021 10 1;28(10):961-974. Epub 2021 Sep 1.

Department of Biostatistics, Yale School of Public Health, New Haven, Connecticut, USA.

We extend the popular Jukes-Cantor evolution model and calculate the probability of an orthologous nucleotide sequence set [a reference sequence () stays with the other sequences ()], where the sequence evolution [from a last common ancestral sequence ()] follows the (prospective) Poisson process with the overall event rate prorated among mutation types (nucleotide/codon substitution, insertion, and deletion) and sites along each sequence. The corresponding retrospective process (reversing the prospective process) facilitates developing algorithms to calculate the marginal probability [Pr()] (Monte Carlo integration) and sample (given ). We calculate probability Pr() based on the identified events (during "") from pairwise sequence alignment to implement Pr(|) calculation (Monte Carlo integration). Read More

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