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Mema E, Spain ES, Martin CK, Hill JO, Sayer RD, McInvale HD, Evans LA, Gist NH, Borowsky AD, Thomas DM. Social influences on physical activity for establishing criteria leading to exercise persistence. PLoS One 2022; 17:e0274259. [PMID: 36260559 PMCID: PMC9581432 DOI: 10.1371/journal.pone.0274259] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/29/2022] [Accepted: 08/25/2022] [Indexed: 11/19/2022] Open
Abstract
Despite well-documented health benefits from exercise, a study on national trends in achieving the recommended minutes of physical activity guidelines has not improved since the guidelines were published in 2008. Peer interactions have been identified as a critical factor for increasing a population's physical activity. The objective of this study is for establishing criteria for social influences on physical activity for establishing criteria that lead to exercise persistence. A system of differential equations was developed that projects exercise trends over time. The system includes both social and non-social influences that impact changes in physical activity habits and establishes quantitative conditions that delineate population-wide persistence habits from domination of sedentary behavior. The model was generally designed with parameter values that can be estimated to data. Complete absence of social or peer influences resulted in long-term dominance of sedentary behavior and a decline of physically active populations. Social interactions between sedentary and moderately active populations were the most important social parameter that influenced low active populations to become and remain physically active. On the other hand, social interactions encouraging moderately active individuals to become sedentary drove exercise persistence to extinction. Communities should focus on increasing social interactions between sedentary and moderately active individuals to draw sedentary populations to become more active. Additionally, reducing opportunities for moderately active individuals to engage with sedentary individuals through sedentary social activities should be addressed.
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Affiliation(s)
- Ensela Mema
- New Jersey Center for Science, Technology and Mathematics (NJCSTM), Kean University, Union, New Jersey, United States of America
| | - Everett S. Spain
- Department of Behavioral Sciences and Leadership, United States Military Academy, West Point, NY, United States of America
| | - Corby K. Martin
- Body Composition and Metabolism, Pennington Biomedical Research Center, Baton Rouge, LA, United States of America
| | - James O. Hill
- Department of Nutrition Sciences, University of Alabama-Birmingham, Birmingham, AL, United States of America
| | - R. Drew Sayer
- Department of Nutrition Sciences, University of Alabama-Birmingham, Birmingham, AL, United States of America
| | - Howard D. McInvale
- Special Projects Department, The MITRE Corporation, Huntsville, AL, United States of America
| | - Lee A. Evans
- Department of Mathematical Sciences, United States Military Academy, West Point, NY, United States of America
| | - Nicholas H. Gist
- Department of Physical Education, United States Military Academy, West Point, NY, United States of America
| | | | - Diana M. Thomas
- Department of Mathematical Sciences, United States Military Academy, West Point, NY, United States of America
- * E-mail:
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Abstract
We consider a mathematical model that describes the flow of a nematic liquid crystal (NLC) film placed on a flat substrate, across which a spatially varying electric potential is applied. Due to their polar nature, NLC molecules interact with the (nonuniform) electric field generated, leading to instability of a flat film. Implementation of the long wave scaling leads to a partial differential equation that predicts the subsequent time evolution of the thin film. This equation is coupled to a boundary value problem that describes the interaction between the local molecular orientation of the NLC (the director field) and the electric potential. We investigate numerically the behavior of an initially flat film for a range of film heights and surface anchoring conditions.
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Affiliation(s)
- E Mema
- United States Military Academy, West Point, New York 10996, USA
| | - L Kondic
- Department of Mathematical Sciences, New Jersey Institute of Technology, Newark, New Jersey 07102, USA
| | - L J Cummings
- Department of Mathematical Sciences, New Jersey Institute of Technology, Newark, New Jersey 07102, USA
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3
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Mema E, Kondic L, Cummings LJ. Director gliding in a nematic liquid crystal layer: Quantitative comparison with experiments. Phys Rev E 2018; 97:032704. [PMID: 29776080 DOI: 10.1103/physreve.97.032704] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.2] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/16/2017] [Indexed: 06/08/2023]
Abstract
The interaction between nematic liquid crystals and polymer-coated substrates may lead to slow reorientation of the easy axis (so-called "director gliding") when a prolonged external field is applied. We consider the experimental evidence of zenithal gliding observed by Joly et al. [Phys. Rev. E 70, 050701 (2004)PLEEE81539-375510.1103/PhysRevE.70.050701] and Buluy et al. [J. Soc. Inf. Disp. 14, 603 (2006)1071-092210.1889/1.2235686] as well as azimuthal gliding observed by S. Faetti and P. Marianelli [Liq. Cryst. 33, 327 (2006)LICRE60267-829210.1080/02678290500512227], and we present a simple, physically motivated model that captures the slow dynamics of gliding, both in the presence of an electric field and after the electric field is turned off. We make a quantitative comparison of our model results and the experimental data and conclude that our model explains the gliding evolution very well.
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Affiliation(s)
- E Mema
- Department of Mathematical Sciences and Center for Applied Mathematics and Statistics New Jersey Institute of Technology, Newark, New Jersey 07102, USA
| | - L Kondic
- Department of Mathematical Sciences and Center for Applied Mathematics and Statistics New Jersey Institute of Technology, Newark, New Jersey 07102, USA
| | - L J Cummings
- Department of Mathematical Sciences and Center for Applied Mathematics and Statistics New Jersey Institute of Technology, Newark, New Jersey 07102, USA
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Sala E, Mema E, Himoto Y, Veeraraghavan H, Brenton JD, Snyder A, Weigelt B, Vargas HA. Unravelling tumour heterogeneity using next-generation imaging: radiomics, radiogenomics, and habitat imaging. Clin Radiol 2017; 72:3-10. [PMID: 27742105 PMCID: PMC5503113 DOI: 10.1016/j.crad.2016.09.013] [Citation(s) in RCA: 196] [Impact Index Per Article: 28.0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/22/2016] [Revised: 09/06/2016] [Accepted: 09/12/2016] [Indexed: 12/18/2022]
Abstract
Tumour heterogeneity in cancers has been observed at the histological and genetic levels, and increased levels of intra-tumour genetic heterogeneity have been reported to be associated with adverse clinical outcomes. This review provides an overview of radiomics, radiogenomics, and habitat imaging, and examines the use of these newly emergent fields in assessing tumour heterogeneity and its implications. It reviews the potential value of radiomics and radiogenomics in assisting in the diagnosis of cancer disease and determining cancer aggressiveness. This review discusses how radiogenomic analysis can be further used to guide treatment therapy for individual tumours by predicting drug response and potential therapy resistance and examines its role in developing radiomics as biomarkers of oncological outcomes. Lastly, it provides an overview of the obstacles in these emergent fields today including reproducibility, need for validation, imaging analysis standardisation, data sharing and clinical translatability and offers potential solutions to these challenges towards the realisation of precision oncology.
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Affiliation(s)
- E Sala
- Department of Radiology, Memorial Sloan Kettering Cancer Center, 1275 York Avenue, New York, NY 10065, USA.
| | - E Mema
- Department of Radiology, Memorial Sloan Kettering Cancer Center, 1275 York Avenue, New York, NY 10065, USA; Department of Radiology, New York Presbyterian/Columbia University Medical Center, 622 W 168th St., New York, NY 10032, USA
| | - Y Himoto
- Department of Radiology, Memorial Sloan Kettering Cancer Center, 1275 York Avenue, New York, NY 10065, USA
| | - H Veeraraghavan
- Department of Medical Physics, Memorial Sloan Kettering Cancer Center, 1275 York Avenue, New York, NY 10065, USA
| | - J D Brenton
- Cancer Research UK, Cambridge Research Institute, Li Ka Shing Centre, Robinson Way, Cambridge CB2 0RE, UK
| | - A Snyder
- Department of Medicine, Memorial Sloan Kettering Cancer Center, 1275 York Avenue, New York, NY 10065, USA
| | - B Weigelt
- Department of Pathology, Memorial Sloan Kettering Cancer Center, 1275 York Avenue, New York, NY 10065, USA
| | - H A Vargas
- Department of Radiology, Memorial Sloan Kettering Cancer Center, 1275 York Avenue, New York, NY 10065, USA
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Abstract
We consider a mathematical model that consists of a nematic liquid crystal layer sandwiched between two parallel bounding plates, across which an external field is applied. We investigate how the number and type of solutions for the director orientation within the layer change as the field strength, anchoring conditions, and material properties of the nematic liquid crystal layer vary. In particular, we focus on how the inclusion of flexoelectric effects alters the Freedericksz and saturation thresholds.
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Affiliation(s)
- E Mema
- Department of Mathematical Sciences and Center for Applied Mathematics and Statistics and New Jersey Institute of Technology, Newark, New Jersey 07102, USA
| | - L Kondic
- Department of Mathematical Sciences and Center for Applied Mathematics and Statistics and New Jersey Institute of Technology, Newark, New Jersey 07102, USA
| | - L J Cummings
- Department of Mathematical Sciences and Center for Applied Mathematics and Statistics and New Jersey Institute of Technology, Newark, New Jersey 07102, USA
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Mema E, Kondic L, Cummings LJ. Substrate-induced gliding in a nematic liquid crystal layer. Phys Rev E Stat Nonlin Soft Matter Phys 2015; 92:062513. [PMID: 26764717 DOI: 10.1103/physreve.92.062513] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.1] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Track Full Text] [Subscribe] [Scholar Register] [Received: 08/16/2015] [Indexed: 06/05/2023]
Abstract
We consider the interaction between nematic liquid crystals (NLCs) and polymer substrates. Such substrates can interact with NLCs, exhibiting a phenomenon known as director gliding: the preferred orientation of the NLC molecules at the interface changes on time scales that are slow relative to the elastic relaxation time scale of the NLC. We present two models for gliding, inspired by experiments that investigate the interaction between the NLC and a polymer substrate. These models, though simple, lead to nontrivial results, including loss of bistability under gliding. Perhaps surprisingly, we find that externally imposed switching between the steady states of a bistable system may reverse the effect of gliding, preventing loss of bistability if switching is sufficiently frequent. Our findings may be of relevance to a variety of technological applications involving liquid crystal devices, and particularly to a new generation of flexible liquid crystal displays that implement polymeric substrates.
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Affiliation(s)
- E Mema
- Department of Mathematical Sciences and Center for Applied Mathematics and Statistics, New Jersey Institute of Technology, Newark, New Jersey 07102, USA
| | - L Kondic
- Department of Mathematical Sciences and Center for Applied Mathematics and Statistics, New Jersey Institute of Technology, Newark, New Jersey 07102, USA
| | - L J Cummings
- Department of Mathematical Sciences and Center for Applied Mathematics and Statistics, New Jersey Institute of Technology, Newark, New Jersey 07102, USA
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Cummings LJ, Mema E, Cai C, Kondic L. Electric-field variations within a nematic-liquid-crystal layer. Phys Rev E Stat Nonlin Soft Matter Phys 2014; 90:012503. [PMID: 25122320 DOI: 10.1103/physreve.90.012503] [Citation(s) in RCA: 2] [Impact Index Per Article: 0.2] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Received: 03/06/2014] [Indexed: 06/03/2023]
Abstract
A thin layer of nematic liquid crystal (NLC) across which an electric field is applied is a setup of great industrial importance in liquid crystal display devices. There is thus a large literature modeling this situation and related scenarios. A commonly used assumption is that an electric field generated by electrodes at the two bounding surfaces of the layer will produce a field that is uniform: that is, the presence of NLC does not affect the electric field. In this paper, we use calculus of variations to derive the equations coupling the electric potential to the orientation of the NLC's director field, and use a simple one-dimensional model to investigate the limitations of the uniform field assumption in the case of a steady applied field. The extension of the model to the unsteady case is also briefly discussed.
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Affiliation(s)
- L J Cummings
- Department of Mathematical Sciences and Center for Applied Mathematics and Statistics, New Jersey Institute of Technology, Newark, New Jersey 07102, USA
| | - E Mema
- Department of Mathematical Sciences and Center for Applied Mathematics and Statistics, New Jersey Institute of Technology, Newark, New Jersey 07102, USA
| | - C Cai
- Department of Mathematical Sciences and Center for Applied Mathematics and Statistics, New Jersey Institute of Technology, Newark, New Jersey 07102, USA
| | - L Kondic
- Department of Mathematical Sciences and Center for Applied Mathematics and Statistics, New Jersey Institute of Technology, Newark, New Jersey 07102, USA
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Coffield DJ, Spagnuolo AM, Shillor M, Mema E, Pell B, Pruzinsky A, Zetye A. A model for Chagas disease with oral and congenital transmission. PLoS One 2013; 8:e67267. [PMID: 23840647 PMCID: PMC3696119 DOI: 10.1371/journal.pone.0067267] [Citation(s) in RCA: 23] [Impact Index Per Article: 2.1] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [MESH Headings] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/13/2012] [Accepted: 05/16/2013] [Indexed: 11/25/2022] Open
Abstract
This work presents a new mathematical model for the domestic transmission of Chagas disease, a parasitic disease affecting humans and other mammals throughout Central and South America. The model takes into account congenital transmission in both humans and domestic mammals as well as oral transmission in domestic mammals. The model has time-dependent coefficients to account for seasonality and consists of four nonlinear differential equations, one of which has a delay, for the populations of vectors, infected vectors, infected humans, and infected mammals in the domestic setting. Computer simulations show that congenital transmission has a modest effect on infection while oral transmission in domestic mammals substantially contributes to the spread of the disease. In particular, oral transmission provides an alternative to vector biting as an infection route for the domestic mammals, who are key to the infection cycle. This may lead to high infection rates in domestic mammals even when the vectors have a low preference for biting them, and ultimately results in high infection levels in humans.
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Affiliation(s)
- Daniel J. Coffield
- Mathematics Department, University of Michigan-Flint, Flint, Michigan, United States of America
| | - Anna Maria Spagnuolo
- Department of Mathematics and Statistics, Oakland University, Rochester, Michigan, United States of America
- * E-mail:
| | - Meir Shillor
- Department of Mathematics and Statistics, Oakland University, Rochester, Michigan, United States of America
| | - Ensela Mema
- Department of Mathematical Sciences, New Jerseys Science & Technology University, University Heights, Newark, New Jersey, United States of America
| | - Bruce Pell
- School of Mathematical & Statistical Sciences, Arizona State University, Tempe, Arizona, United States of America
| | - Amanda Pruzinsky
- Chesapeake Research Consortium, U.S. EPA Chesapeake Bay Program Office, Annapolis, Maryland, United States of America
| | - Alexandra Zetye
- Department of Mathematics and Statistics, Oakland University, Rochester, Michigan, United States of America
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