This is a comprehensive discussion of complexity as it arises in physical, chemical, and biological systems, as well as in mathematical models of nature. Common features of these apparently unrelated fields are emphasised and incorporated into a uniform mathematical description, with the support of a large number of detailed examples and illustrations. The quantitative study of complexity is a rapidly developing subject with special impact in the fields of physics, mathematics, information science, and biology. Because of the variety of the (...) approaches, no comprehensive discussion has previously been attempted. This book will be of interest to graduate students and researchers in physics (nonlinear dynamics, fluid dynamics, solid-state, cellular automata, stochastic processes, statistical mechanics and thermodynamics), mathematics (dynamical systems, ergodic and probability theory), information and computer science (coding, information theory and algorithmic complexity), electrical engineering and theoretical biology. (shrink)

Two hundred years after it was first published, Mary Shelley’s Frankenstein; or, the modern Prometheus remains relevant. This novel has endured because of its literary merits and because its themes lend themselves to analysis from multiple viewpoints. Scholars from many disciplines have examined this work in relation to controversial scientific research. In this paper, we review the academic literature where Frankenstein is used to discuss ethics, bioethics, science, technology and medicine. We searched the academic literature and carried out a content (...) analysis of articles discussing the novel and films derived from it, analyzing the findings qualitatively and quantitatively. We recorded the following variables: year and language of publication, whether it referred to the novel or to a film, the academic discipline in which it was published, and the topics addressed in the analysis. Our findings indicate that the scientific literature on Frankenstein focuses mainly on science and the personality of the scientist rather than on the creature the scientist created or ethical aspects of his research. The scientist’s responsibility is central to the ethical interest of Frankenstein; this issue entails both the motivation underlying the scientist’s acts and the consequences of these acts. (shrink)

BackgroundAdvances in biomedicine can substantially change human life. However, progress is not always followed by ethical reflection on its consequences or scientists’ responsibility for their creations. The humanities can help health sciences students learn to critically analyse these issues; in particular, literature can aid discussions about ethical principles in biomedical research. Mary Shelley’sFrankenstein; or, the modern Prometheus(1818) is an example of a classic novel presenting complex scenarios that could be used to stimulate discussion.Main textWithin the framework of the 200th anniversary (...) of the novel, we searched PubMed to identify works that explore and discuss its value in teaching health sciences. Our search yielded 56 articles, but only two of these reported empirical findings. Our analysis of these articles identified three main approaches to usingFrankensteinin teaching health sciences: discussing the relationship between literature and science, analysing ethical issues in biomedical research, and examining the importance of empathy and compassion in healthcare and research. After a critical discussion of the articles, we propose usingFrankensteinas a teaching tool to prompt students to critically analyse ethical aspects of scientific and technological progress, the need for compassion and empathy in medical research, and scientists’ responsibility for their discoveries.ConclusionFrankensteincan help students reflect on the personal and social limits of science, the connection between curiosity and scientific progress, and scientists’ responsibilities. Its potential usefulness in teaching derives from the interconnectedness of science, ethics, and compassion.Frankensteincan be a useful tool for analysing bioethical issues related to scientific and technological advances, such as artificial intelligence, genetic engineering, and cloning. Empirical studies measuring learning outcomes are necessary to confirm the usefulness of this approach. (shrink)

Розкрито сутність поняття «рейтинг». Доведено значущість рейтингової оцінки для суб’єктів фінансового ринку, зокрема для страхових компаній, потенційних страхувальників, інвесторів та кредиторів.

This book is an updated approach to a discipline of special importance in our changing world. It allows a full knowledge from the epistemological and historical basis that allows understanding the discipline from the beginning. The chapters devoted to the analysis of how bioethics is used to analyze complex situations in biomedical fields permits the understanding of its importance to solve them and protecting human beings. One important contribution of the book is looking at current and future challenges that will (...) need an ethical consideration to make sure that biomedical research is not divorced from human rights. (shrink)

"Williams's masterful translation satisfies (at last!) a long-standing need. There are lots of good translations of Augustine's great work, but until now we have been forced to choose between those that strive to replicate in English something of the majesty and beauty of Augustine's Latin style and those that opt instead to convey the careful precision of his philosophical terminology and argumentation. Finally, Williams has succeeded in capturing both sides of Augustine's mind in a richly evocative, impeccably reliable, elegantly readable (...) presentation of one of the most impressive achievements in Western thought--Augustine's Confessions." --Scott MacDonald, Professor of Philosophy and Norma K. Regan Professor in Christian Studies, Cornell University. (shrink)

This book offers a critical introduction to the work of American philosopher D. G. Leahy (1937-2014). Leahy's fundamental thinking can be characterized as an absolute creativity in which all creating is 'live' -- a happening occurring now that manifests a supersaturated polyontological actuality that is essentially created by the logic that characterizes it. Leahy leaves behind the categorial presuppositions of modern thought, eclipsing both Cartesian and Hegelian subjectivities and introducing instead an essentially new form of thinking founded in a nondual (...) logic of creation. The new thinking delineates the absolute unicity of existence as a creative interactivity beyond all traditional dichotomies (such as one vs. many, unity vs. plurality, identity vs. change): a fully "digitized" actuality that is nothing but newness, which inherently implies nothing but change. Through this new form of thinking, change itself is revealed to be the very essence of reality and mind. Any reader looking for a quantum leap beyond the thrall of modern and postmodern fixations is invited to hear and apprehend this new thinking that refuses to be conditioned by paradigms, categories, species, genera, walls, bridges, boundaries, or abstractions: an essentially free thinking that embodies creative novelty itself. (shrink)

Resumen. Se analizan de forma detallada las bases del muestreo multietápico, la estimación de submuestreo y el muestreo de respuesta aleatoria. Se presentan las ecuaciones pertinentes ejemplificando por medio de casos reales. También se argumentan las situaciones en donde se debe utilizar estos casos específicos. Palabras claves. Caso multietápico, muestreo de respuesta aleatoria, submuestreo.. The basics of multi-stage sampling, sub-sampling and random response sampling are analyzed. Detailed equations regarding these types of sampling are provided. The applications of these types of (...) samplings are denoted by means of real case studies. Keywords. Multi-stage sampling, sub-sampling, random response sampling. (shrink)

Resumen. Se presentan los conceptos básicos de muestreo secuencial en sus cinco modalidades,incluyendo muestreo secuencial de tipo estándar, usando solo una densidad crítica, por una precisiónfija, por medio de presencia-ausencia y finalmente de tipo temporal. Se notan un ejemplo real para cadacaso. Se nota y se explica la importancia de la distribución de los datos y los pertinentes ecuaciones. Sepresentan a través de ejemplos reales las ecuaciones para estimar el tamaño óptimo de la muestra paracada uno de las cinco modalidades (...) del muestreo secuencial. Se enfatiza la ventaja económica de estetipo de muestreo.Palabras clave: Distribución de los datos, muestreo secuencial, tamaño óptimo de la muestra. Fundamental concepts of sequential sampling in all its types including standard sequentialsampling, sequential sampling using only one critical density, fixed precision sequential sampling,presence-absence sequential sampling, and time sequential sampling are highlighted. A real caseexample for each of the five sequential samplings is given. The relevance of data distribution forsequential sampling along with corresponding equations is provided and explained. Equations to assessthe optimal sample size for each case are noted and exemplified. The economic advantages of sequentialsampling in stressedKeywords: Data distribution, sample size, sequential sampling. (shrink)

Palabras claves. Métodos estadísticos, pruebas de hipótesisResumen. Se presentan de forma simple, breve y por medios de los ejemplos prácticos, los métodos estadísticos que sirven para demostrar la representatividad de una, dos o varias muestras basada en los parámetros poblacionales . Se indican la manera de reducir el tamaño del error experimental para aclarar el efecto significativo de los grupos o muestras bajo el interés . Además, se demuestran la forma de eliminar el efecto de las variables auxiliares o colaterales (...) causante del ruido o error en la estadística . También se nota el uso del modelo ANOVA Anidada para indicar la forma de segmentar la ANOVA en varias partes y de esta manera poder contestar preguntas más complejas. Finalmente, se describen e explican la forma de optimizar los recursos en la conducción de los experimentos y descubrir el efecto de la interacción entre las variables .Keywords. Hypothesis testing, statistical methods. Statistical methods that serve to represent, based upon population parameters of mean and variance, for one, tow or various samples taken from study populations are discussed. Ways to reduce the amount of experimental error in order to clarify the real effect of the treatments are demonstrated . The use of Covariance Analysis to show the pure effect of treatment free from the effect of collateral variables is also indicated. Nested ANOVA that allows division of ANOVA in several parts in order to answer complex questions is described and explained. Finally, the utility of Factorial Analysis for optimization of resource use as well as the illustration of interaction effects are noted and analyzed. (shrink)

Reumen. Se describen las bases del muestreo conglomerado y muestreo sistemático. Se presentan lasecuaciones pertinentes y aquellas para la estimación del tamaño óptimo de muestreo para cada tipo demuestreo. Se demuestra la aplicación práctica de éstos clases de muestreo por medio de ejemplosreales.Palabras claves. Muestreo conglomerado, muestreo sistemático, tamaño óptimo de la muestra.. Cluster sampling and systematic sampling are described and their equations are provided.Real examples are given in order to show the applications of these types of samplings. Equations toestimate (...) optimal sample sizes are also noted.Keywords. Cluster sampling, optimal sample size, systematic sampling. (shrink)