The role of mathematical models in an assessment of myocardial function

Author(s):  
Israel Mirsky
Author(s):  
Carrie Figdor

Many people accept that chimpanzees, dolphins, and some other animals can think and feel. But these cases are just the tip of a growing iceberg. If biologists are right, fruit flies and plants make decisions, worms and honeybees can be trained, bacteria communicate linguistically, and neurons have preferences. Just how far does cognition go? This book is the first to critically consider this question from the perspective of the entire range of new ascriptions of psychological capacities throughout biology. It is also the first to consider the role of mathematical models and other quantitative forms of evidence in prompting and supporting the new ascriptions. It defends a default literal interpretation of psychological terms across biological domains. It also considers the implications of the literal view for efforts to explain the mind’s place in nature and for traditional ways of distinguishing the superior moral status of humans relative to other living beings.


2021 ◽  
Vol 0 (0) ◽  
Author(s):  
Ahmed S. Elgazzar

Abstract The novel COVID-19 pandemic is a current, major global health threat. Up till now, there is no fully approved pharmacological treatment or a vaccine. Also, its origin is still mysterious. In this study, simple mathematical models were employed to examine the dynamics of transmission and control of COVID-19 taking into consideration social distancing and community awareness. Both situations of homogeneous and nonhomogeneous population were considered. Based on the calculations, a sufficient degree of social distancing based on its reproductive ratio is found to be effective in controlling COVID-19, even in the absence of a vaccine. With a vaccine, social distancing minimizes the sufficient vaccination rate to control the disease. Community awareness also has a great impact in eradicating the virus transmission. The model is simulated on small-world networks and the role of social distancing in controlling the infection is explained.


2000 ◽  
Vol 279 (3) ◽  
pp. H1071-H1078 ◽  
Author(s):  
R. Ray Morrison ◽  
Rachael Jones ◽  
Anne M. Byford ◽  
Alyssa R. Stell ◽  
Jason Peart ◽  
...  

The role of A1adenosine receptors (A1AR) in ischemic preconditioning was investigated in isolated crystalloid-perfused wild-type and transgenic mouse hearts with increased A1AR. The effect of preconditioning on postischemic myocardial function, lactate dehydrogenase (LDH) release, and infarct size was examined. Functional recovery was greater in transgenic versus wild-type hearts (44.8 ± 3.4% baseline vs. 25.6 ± 1.7%). Preconditioning improved functional recovery in wild-type hearts from 25.6 ± 1.7% to 37.4 ± 2.2% but did not change recovery in transgenic hearts (44.8 ± 3.4% vs. 44.5 ± 3.9%). In isovolumically contracting hearts, pretreatment with selective A1 receptor antagonist 1,3-dipropyl-8-cyclopentylxanthine attenuated the improved functional recovery in both wild-type preconditioned (74.2 ± 7.3% baseline rate of pressure development over time untreated vs. 29.7 ± 7.3% treated) and transgenic hearts (84.1 ± 12.8% untreated vs. 42.1 ± 6.8% treated). Preconditioning wild-type hearts reduced LDH release (from 7,012 ± 1,451 to 1,691 ± 1,256 U · l−1 · g−1 · min−1) and infarct size (from 62.6 ± 5.1% to 32.3 ± 11.5%). Preconditioning did not affect LDH release or infarct size in hearts overexpressing A1AR. Compared with wild-type hearts, A1AR overexpression markedly reduced LDH release (from 7,012 ± 1,451 to 917 ± 1,123 U · l−1 · g−1 · min−1) and infarct size (from 62.6 ± 5.1% to 6.5 ± 2.1%). These data demonstrate that murine preconditioning involves endogenous activation of A1AR. The beneficial effects of preconditioning and A1AR overexpression are not additive. Taken with the observation that A1AR blockade equally eliminates the functional protection resulting from both preconditioning and transgenic A1AR overexpression, we conclude that the two interventions affect cardioprotection via common mechanisms or pathways.


2016 ◽  
Vol 87 (9) ◽  
pp. 675-675
Author(s):  
Nabil Abdalla ◽  
Joanna Winiarek ◽  
Agnieszka Timorek ◽  
Wlodzimierz Sawicki ◽  
Krzysztof Cendrowski

2021 ◽  
Vol 18 (174) ◽  
pp. 20200660
Author(s):  
Hanliang Guo ◽  
Yi Man ◽  
Kirsty Y. Wan ◽  
Eva Kanso

Beating flagella exhibit a variety of synchronization modes. This synchrony has long been attributed to hydrodynamic coupling between the flagella. However, recent work with flagellated algae indicates that a mechanism internal to the cell, through the contractile fibres connecting the flagella basal bodies, must be at play to actively modulate flagellar synchrony. Exactly how basal coupling mediates flagellar coordination remains unclear. Here, we examine the role of basal coupling in the synchronization of the model biflagellate Chlamydomonas reinhardtii using a series of mathematical models of decreasing levels of complexity. We report that basal coupling is sufficient to achieve inphase, antiphase and bistable synchrony, even in the absence of hydrodynamic coupling and flagellar compliance. These modes can be reached by modulating the activity level of the individual flagella or the strength of the basal coupling. We observe a slip mode when allowing for differential flagellar activity, just as in experiments with live cells. We introduce a dimensionless ratio of flagellar activity to basal coupling that is predictive of the mode of synchrony. This ratio allows us to query biological parameters which are not yet directly measurable experimentally. Our work shows a concrete route for cells to actively control the synchronization of their flagella.


Author(s):  
N. Anbazhagan

Supply Chain Management (SCM) is the practice of coordinating the flow of goods, services, information and finances as they move from raw materials to parts supplier to manufacturer to wholesaler to retailer to consumer. Different supply chains have been designed for a variety of firms and this chapter discusses some issues in this regard. This chapter attempts to find why we require different supply chain for different companies. In this chapter we discuss the role of stochastic models in supply chain management system, and also discuss other mathematical models for SCM.


Materials contained in plastic packages can transfer (migrate) into the contents. In some circumstances, such as packages of food, drink or medicine, the consequences of this migration can be unpleasant or even harmful. Many countries, and the European Community, have adopted legal regulations designed to limit the amount of migration. It is shown, partly by discussing one example in some detail, that certain quantitative criteria in such regulations are unsatisfactory. The reasons include ( a ) improper recognition of the importance of package geometry, ( b ) invalid assumptions about a correspondence between concentrations in the contents and mass transfer per unit area of the package-contents interface and ( c ) failure to account, in an adequate manner, for the inevitable variability between nominally identical package systems. The principal theme of the paper is that these faults could have been, and can be, substantially ameliorated by proper use of mathematical models. Common shortcomings in the previous (but very limited) use of mathematics are exposed partly by detailed examination of a recent research paper. The paper discusses the requirements of a successful model and considers the simplest type, namely diffusion equations with diffusion coefficients that are independent of the concentrations of the migrant in either the plastic or the contents. Particular solutions are chosen to illustrate faults in existing legislation and practice, and because they are thought to be good candidates for testing against data. It is argued that future experiments would be more successful and more useful if they were planned and conducted in teams involving mathematicians.


1983 ◽  
Vol 50 (4b) ◽  
pp. 1021-1032 ◽  
Author(s):  
P. J. Holmes ◽  
F. C. Moon

We review several examples of nonlinear mechanical and electrical systems and related mathematical models that display chaotic dynamics or strange attractors. Some simple mathematical models — iterated piecewise linear mappings — are introduced to explain and illustrate the concepts of sensitive dependence on initial conditions and chaos. In particular, we describe the role of homoclinic orbits and the horseshoe map in the generation of chaos, and indicate how the existence of such features can be detected in specific nonlinear differential equations.


1985 ◽  
Vol 112 (1) ◽  
pp. 19-60 ◽  
Author(s):  
David P. Hager ◽  
David J. Lord

1.1. The Institute has discussed papers on most aspects of institutional investment in recent years, with the notable exception of property. This is not due to the lack of importance of this investment sector to pension funds and life offices, but perhaps to the greater role of actuaries (rather than surveyors) in the other investment media and to the interest in mathematical models for gilts and equities.1.2. In this paper we have not tried to produce a mathematical model of the property market, a new valuation method for property or solutions to the extensive problems of property performance measurement and indices. We have, however, tried to pull together, in a single paper, the volumes of material on the property market and property valuation methods. We have also tried to set down some of the pitfalls of property performance measurement, which often tend to be overlooked in the relentless pursuit for more statistics in this important area.


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