The convention in chemical dynamics usually is to identify the reactant and catalytic molecules as the active agencies that combine in mechanical fashion to constitute a reaction process. When macromolecules grow large and complex enough to exhibit some plasticity, however, the subsequent directions in which these molecules change may be guided more by the nexus of chemical reactions in which they participate. In particular, configurations of autocatalytic reactions among plastic macromolecules can come to exert more agency upon the component reactants and mechanisms than vice versa, and the nexus of such processes retains its identity longer than do the latter, more transient participants. Whence, the ascendancy of autocatalytic forms as causal agencies provides a natural example of the phenomenon of "emergence" and affords a way out of the conundrums that currently obfuscate the issue of the origin of life.
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http://dx.doi.org/10.1111/j.1749-6632.2003.tb06094.x | DOI Listing |
Medwave
December 2024
Grupo Peruano de Investigación en Medicamentos, Políticas y Servicios Farmacéuticos (GPIMPSF), Carrera de Farmacia y Bioquímica, Universidad Científica del Sur, Lima, Perú.
Introduction: Shortage of medicines in Peruvian healthcare facilities is a significant public health issue that may affect patient satisfaction.
Objective: To estimate the association between access to medicines and the level of satisfaction with the received care from users of healthcare facilities in Peru during 2016.
Methods: An analytical cross-sectional study was conducted using data from the 2016 National Survey of User Satisfaction in Health (ENSUSALUD).
Chaos
December 2024
Potsdam Institute for Climate Impact Research (PIK), Member of the Leibniz Association, Telegrafenberg A31, 14473 Potsdam, Germany.
Identifying complex periodic windows surrounded by chaos in the two or higher dimensional parameter space of certain dynamical systems is a challenging task for time series analysis based on complex network approaches. This holds particularly true for the case of shrimp structures, where different bifurcations occur when crossing different domain boundaries. The corresponding dynamics often exhibit either period-doubling when crossing the inner boundaries or, respectively, intermittency for outer boundaries.
View Article and Find Full Text PDFJ Clin Med
December 2024
Clinic for Orthopedics and Trauma Surgery, University Hospital of Bonn, 53127 Bonn, Germany.
: Acetabular fractures continue to pose a major challenge in clinical practice, not least because of the growing geriatric population. While the influence of the force vectors on fracture formation is well established, the impact of anatomical factors on fracture morphology remains poorly understood. The aim of this study was to investigate patient-specific hip joint geometry, identify structural risk factors and correlate these with the resulting fracture patterns.
View Article and Find Full Text PDFPLoS One
December 2024
Department of Life and Environmental Sciences, Bournemouth University, Poole, United Kingdom.
Predictive models are often complex to produce and interpret, yet can offer valuable insights for management, conservation and policy-making. Here we introduce a new modelling tool (the R package 'BBNet'), which is simple to use, and requires little mathematical or computer programming background. By using straightforward concepts to describe interactions between model components, predictive models can be effectively constructed using basic spreadsheet tools and loaded into the R package.
View Article and Find Full Text PDFPsychol Methods
December 2024
Brain Research Institute, University of California, Los Angeles.
Moderated nonlinear factor analysis (MNLFA) has emerged as an important and flexible data analysis tool, particularly in integrative data analysis setting and psychometric studies of measurement invariance and differential item functioning. Substantive applications abound in the literature and span a broad range of disciplines. MNLFA unifies item response theory, multiple group, and multiple indicator multiple cause modeling traditions, and it extends these frameworks by conceptualizing latent variable heterogeneity as a source of differential item functioning.
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