scholarly journals Aging and Changes in Complexity in the Neurobehavioral System

Medicina ◽  
2011 ◽  
Vol 47 (1) ◽  
pp. 1-10 ◽  
Author(s):  
◽  
◽  
Keyword(s):  
Nonlinear Dynamical Systems ◽  
Biological Research ◽  
Methodological Framework ◽  
Review Of Literature ◽  
Aging Research ◽  
Nonlinear Dynamical ◽  
Age Related ◽  
Traditional Approaches ◽  
Sensorimotor Processes ◽  
And Task

The issue of complexity is more and more present in numerous domains of biological research, including aging research. In the present paper, based on a selective review of literature, we propose both a conceptual and a methodological framework to address age-related changes in functional complexity of the neurobehavioral system, presumably resulting from modifications of the coupling between cognitive and sensorimotor processes. In particular, after reviewing pioneering and more recent studies on aging and complexity in the neuromusculoskeletal system, we explore the possibility that an age-induced increase in the coupling between cognitive and sensorimotor domains could be captured by a stronger covariation of high-order variables, common to both cognitive and sensorimotor functioning. Our main assumption is that these variables could behave as neurobehavioral markers of aging in the neuromusculoskeletal system. The present approach markedly differs from other traditional approaches, which focused on process-specific variable correlates of chronological age, domain-by-domain, and task-by-task. It provides a coherent conceptual framework, a terminology, and a method for studying age-related coupling of cognitive and sensorimotor processes with the use of complexity and nonlinear dynamical systems theories.

scholarly journals Analytic Matrix Method for Frequency Response Techniques Applied to Nonlinear Dynamical Systems I: Small and Medium Amplitude Oscillations

Mathematics ◽  
2021 ◽  
Vol 9 (24) ◽  
pp. 3287
Author(s):  
Elena Hernandez ◽  
Octavio Manero ◽  
Fernando Bautista ◽  
Juan Paulo Garcia-Sandoval
Keyword(s):  
Dynamical Systems ◽  
Frequency Response ◽  
Harmonic Balance ◽  
Matrix Method ◽  
Series Solution ◽  
Nonlinear Dynamical Systems ◽  
Nonlinear Dynamical ◽  
Analytic Matrix ◽  
Solution Methods ◽  
Traditional Approaches

This is the first on a series of articles that deal with nonlinear dynamical systems under oscillatory input that may exhibit harmonic and non-harmonic frequencies and possibly complex behavior in the form of chaos. Frequency response techniques of nonlinear dynamical systems are usually analyzed with numerical methods because, most of the time, analytical solutions turn out to be difficult, if not impossible, since they are based on infinite series of trigonometric functions. The analytic matrix method reported here is a direct one that speeds up the solution processing compared to traditional series solution methods. In this method, we work with the invariant submanifold of the problem, and we propose a series solution that is equivalent to the harmonic balance series solution. However, the recursive relation obtained for the coefficients in our analytical method simplifies traditional approaches to obtain the solution with the harmonic balance series method. This method can be applied to nonlinear dynamic systems under oscillatory input to find the analog of a usual Bode plot where regions of small and medium amplitude oscillatory input are well described. We found that the identification of such regions requires both the amplitude as well as the frequency to be properly specified. In the second paper of the series, the method to solve problems in the field of large amplitudes will be addressed.

scholarly journals The Translational Geroscience Network: Supporting a New Paradigm to Alleviate Age-Related Chronic Disease

2020 ◽  
Vol 4 (Supplement_1) ◽  
pp. 831-831
Author(s):  
Jamie Justice ◽  
Stephen Kritchevsky ◽  
George Kuchel ◽  
James Kirkland
Keyword(s):  
Biological Aging ◽  
Small Scale ◽  
New Paradigm ◽  
Aging Research ◽  
Age Related ◽  
Treatment Focus ◽  
Working Together ◽  
Basic Biology ◽  
Biology Of Aging ◽  
Traditional Approaches

Abstract Aging is the leading risk factor for many chronic diseases. Through traditional approaches to drug development and treatment focus on treating one disease at a time, the geroscience hypothesis posits that by targeting fundamental aging processes one could alleviate multiple age-related diseases. Now several geroscience-guided interventions are at the point of entering human clinical trials. To accelerate testing of this important hypothesis, an interdisciplinary Translational Geroscience Network (TGN; R33 AG061456) has recently been established. The TGN is a new national resource of aging research centers committed to working together toward complementary, small-scale, proof-of-concept “use case” clinical studies. One such pilot will be highlighted: a translational trial of senolytics, or drugs targeting the biological aging process cellular senescence in patients with idiopathic pulmonary fibrosis. The promise of geroscience provides another reason “why age matters”: by studying the basic biology of aging, we may open novel therapeutic opportunities for challenging age-related diseases.

The specifics of mergers and acquisitions of innovative and technological companies

2020 ◽  
Vol 26 (5) ◽  
pp. 1186-1204
Author(s):  
A.V. Fedorov ◽  
Zh.S. Peredera
Keyword(s):  
Digital Technology ◽  
Comprehensive Analysis ◽  
Methodological Framework ◽  
Comparison Study ◽  
Technology Sector ◽  
Theoretical Perspectives ◽  
Innovation And Technology ◽  
Set Up ◽  
Definition Of ◽  
Traditional Approaches

Subject. The article reviews distinctions of M&A deals in innovation and technology. Objectives. We determine the specifics of innovative and technological companies and its impact on the synergy, process, finance, valuation of M&A deals. Methods. The article employs methods of generalization, comprehensive analysis, systematization, specification, comparison, study into trends and the structure. Graphics and tables are used to display the findings. Results. We conducted the content analysis of the term Mergers & Acquisitions, thus finding the divergence of foreign and the Russian approaches. We provide our own definition of the concept and analyzed the dynamics of the overall M&A market and the innovation and technological sector. The article describes operational distinctions of innovative and technological companies and compares them with conventional sectors. The article determined the specifics of synergy, process, finance, valuation of M&A deals in innovation and technology. Conclusions and Relevance. The innovation and technology sector saw M&A deals become more frequent for the recent five years. What distinguishes them is the number of startups and infant businesses, large M&A deals in order to develop their ecosystems, involve digital technology companies. Traditional approaches should be adapted for structuring M&A deals, their arrangement, financing and valuation of target companies. The findings can lay the groundwork for further studies into the specifics of the innovation and technology sector, M&A deals, and set up the methodological framework for the valuation of innovative and technological companies. The findings can also immediately support parties of M&A deals from theoretical perspectives.

Linear and Nonlinear Dynamic Behaviour

2018 ◽  
Author(s):  
Ray Huffaker ◽  
Marco Bittelli ◽  
Rodolfo Rosa
Keyword(s):  
Dynamic Behavior ◽  
Dynamic Systems ◽  
Dynamic Behaviour ◽  
Nonlinear Dynamical Systems ◽  
Logistic Map ◽  
Nonlinear Dynamical ◽  
Deterministic Dynamic ◽  
Random Behavior ◽  
Single Solution ◽  
Equivalent Systems

In this chapter, we describe how highly erratic dynamic behavior can arise from a nonlinear logistic map, and how this apparently random behavior is governed by a surprising order. With this lesson in mind, we should not be overly surprised that highly erratic and random appearing observed data might also be generated by parsimonious deterministic dynamic systems. At a minimum, we contend that researchers should apply NLTS to test for this possibility. We also introduced tools to analyze dynamic behavior that form the foundation for NLTS. In particular, we have stressed the quite unexpected capability to achieve some form of predictability even with only one trajectory at hand. In subsequent chapters, we treat known nonlinear dynamical systems as unknown, and investigate how NLTS methods rely on a single solution (or multiple solutions) generated by them to reconstruct equivalent systems. This is a conventional approach in the literature for seeing how NLTS methods work since we know what needs to be reconstructed.

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