The Three Semiotic Lives of Domestic Cats: A Case Study on Animal Social Cognition

The social cognition of domestic cats (Felis catus) is a scarcely studied topic due to the reputation of the animal as individualistic. Nevertheless, cats are capable of cognitively demanding cooperative activities such as a communal nest-moving. The cognitive abilities of free-ranging cats are evaluated against the background of the shared intentionality hypothesis, proposed by a research group of Michael Tomasello. Although their comparative studies are carried out on chimpanzees, they are valuable as a source of conceptual work linking empirical cognitive studies with the philosophical accounts of joint agency. We critically analyze theoretical cognitive concepts interpreting the triadic interactions of great apes and the collective hunting among chimpanzees. Contrary to the shared intentionality hypothesis, it is argued that cats have cognitive abilities to share attention, truly cooperate and constitute shared meanings. Finally, we introduce the concept of the natural interaction ritual by Randall Collins and outline its significance for our case study about cats as well as for a general biosemiotic theory of the development of symbols.     

The history of science and the introduction of plant genetics in Mexico

The emergence and development of 'national sciences' in Latin American countries were not, until very recently, part of the agenda of historians of science because the 'traditional' history of sciences was not interested in the scientific activity of peripheral areas. The history of science is a recent discipline in Mexican historiographic studies. The methodological interest in the history of science, the creation of schools and institutes that deal with it, the establishment of particular chairs, the organization of national societies, and the publication of books and periodicals are all very recent. It is important to carry out studies in the history of science that examine the development of Mexican science introducing the 'local' context, and study how this development has influenced the formation of scientific societies and the development of scientific disciplines in the country. We want to explore the introduction of genetics in Mexico as applied to agriculture between 1930 and 1960. This matter has not been investigated in Mexico and therefore this work would represent one of the first studies of this subject and one of the first studies in the general field of Mexican scientific history.     

DNA base excision repair as a biomarker in molecular epidemiology studies

Base excision repair can be measured in human lymphocytes by a variety of techniques, the most convenient of which are probably in vitro assays of the activity of a cell extract on a DNA substrate containing specific lesions such as 8-oxoguanine. Inter-individual variation in base excision repair ranges from about 3-fold to 10-fold in different studies. Repair has been variously reported to decline or to increase with the age of the individual. Few studies of environmental or occupational exposure and repair have been carried out, but it seems that styrene exposure induces base excision repair activity. In several nutritional intervention trials, with kiwifruit, coenzyme Q(10) and carrots, a significant enhancement of repair has been noted. Activity of 8-oxoguanine DNA glycosylase is significantly affected by the Ser326Cys polymorphism in hOGG1. In cancer case-control studies, low repair activity is consistently associated with occurrence of the disease.     

Neural dynamics as sampling: a model for stochastic computation in recurrent networks of spiking neurons

The organization of computations in networks of spiking neurons in the brain is still largely unknown, in particular in view of the inherently stochastic features of their firing activity and the experimentally observed trial-to-trial variability of neural systems in the brain. In principle there exists a powerful computational framework for stochastic computations, probabilistic inference by sampling, which can explain a large number of macroscopic experimental data in neuroscience and cognitive science. But it has turned out to be surprisingly difficult to create a link between these abstract models for stochastic computations and more detailed models of the dynamics of networks of spiking neurons. Here we create such a link and show that under some conditions the stochastic firing activity of networks of spiking neurons can be interpreted as probabilistic inference via Markov chain Monte Carlo (MCMC) sampling. Since common methods for MCMC sampling in distributed systems, such as Gibbs sampling, are inconsistent with the dynamics of spiking neurons, we introduce a different approach based on non-reversible Markov chains that is able to reflect inherent temporal processes of spiking neuronal activity through a suitable choice of random variables. We propose a neural network model and show by a rigorous theoretical analysis that its neural activity implements MCMC sampling of a given distribution, both for the case of discrete and continuous time. This provides a step towards closing the gap between abstract functional models of cortical computation and more detailed models of networks of spiking neurons.     

Does population ecology have general laws?

There is a widespread opinion among ecologists that ecology lacks general laws. In this paper I argue that this opinion is mistaken. Taking the case of population dynamics, I point out that there are several very general law-like propositions that provide the theoretical basis for most population dynamics models that were developed to address specific issues. Some of these foundational principles, like the law of exponential growth, are logically very similar to certain laws of physics (Newton's law of inertia, for example, is almost a direct analogue of exponential growth). I discuss two other principles (population self-limitation and resource-consumer oscillations), as well as the more elementary postulates that underlie them. None of the "laws" that I propose for population ecology are new. Collectively ecologists have been using these general principles in guiding development of their models and experiments since the days of Lotka, Volterra, and Gause.     

Education and research in biomedical engineering of the Budapest University of Technology and Economics

Biomedical Engineering is a relatively new interdisciplinary science. This review paper presents the biomedical engineering activity, which is carried out at the Budapest University of Technology and Economics (BUTE) and its partner institutions. In the first parts the main goals and the curriculum of the Biomedical Engineering Education Program is presented. The second part of the paper summarizes the most important biomedical engineering researches most of them carried out in the Biomedical Engineering Laboratory of BUTE.     

Does population ecology have general laws?

There is a widespread opinion among ecologists that ecology lacks general laws. In this paper the author argues that this opinion is mistaken. Taking the case of population dynamics, the author points out that there are several very general law-like propositions that provide the theoretical basis for most population dynamics models that were developed to address specific issues. Some of these foundational principles, like the law of exponential growth, are logically very similar to certain law of physics (Newton's law of intertia, for example, is almost a direct analogue of exponential growth). The author discusses two other principles (population self-limitation and resource-consumer oscillations), as well as the more elementary postulates that underlie them. None of the "laws" that the author proposes for population ecology are new. Collectively ecologists have been using these general principles in guiding development of their models and experiments since the days of Lotka, Volterra, and Gause.     

The molecular genetics of cognition: dopamine, COMT and BDNF

The important contribution of genetic factors to the development of cognition and intelligence is widely acknowledged, but identification of these genes has proven to be difficult. Given a variety of evidence implicating the prefrontal cortex and its dopaminergic circuits in cognition, most of the research conducted to date has focused on genes regulating dopaminergic function. Here we review the genetic association studies carried out on catechol-O-methyltransferase (COMT) and the dopamine receptor genes, D1, D2 and D4. In addition, the evidence implicating another promising candidate gene, brain-derived neurotrophic factor (BDNF) in neuropsychological function, is assessed. Both the COMT val158met polymorphism and the BDNF val66met variant appear to influence cognitive function, but the specific neurocognitive processes involved continue to be a matter of debate. Part of the difficulty is distinguishing between false positives, pleiotropy and the influence of a general intelligence factor, g. Also at issue is the complexity of the relevant neuromolecular pathways, which make the inference of simple causal relationships difficult. The implications of molecular genetic cognitive research for psychiatry are discussed in light of these data.     

Study of the fructosediphosphate aldolase and transketolase activity in the nystatin producer, Actinomyces noursei]

Activity of transketolase, an enzyme of the pentose cycle and fructosodiphosphataldolase, an enzyme of glycolisis was studied in the dynamics of development of the nystatin-producing organism and its inactive mutant under various conditions of their cultivation with a purpose of finding relation between the antibiotic production and general metabolism of Act. noursei. The transketolase activity of the organism was 2-4 times higher than that of the inactive mutant. Addition of 8000 Units/ml of nystatin to the medium markedly suppressed (50-100 per cent) the aldolase activity, however it had no effect on the transkelotase activity. Possibly the antibiotic accumulated in the mycelium played the role of a regulator of the activity of the enzymes, directing the metabolites along the hexosomonophosphate pathway of carbohydrate dissimilation.     

The science of research: The principles underlying the discovery of cognitive and other biological mechanisms

Studies of cognitive function include a wide spectrum of disciplines, with very diverse theoretical and practical frameworks. For example, in Behavioral Neuroscience cognitive mechanisms are mostly inferred from loss of function (lesion) experiments while in Cognitive Neuroscience these mechanisms are commonly deduced from brain activation patterns. Although neuroscientists acknowledge the limitations of deriving conclusions using a limited scope of approaches, there are no systematically studied, objective and explicit criteria for what is required to test a given hypothesis of cognitive function. This problem plagues every discipline in science: scientific research lacks objective, systematic studies that validate the principles underlying even its most elemental practices. For example, scientists decide what experiments are best suited to test key ideas in their field, which hypotheses have sufficient supporting evidence and which require further investigation, which studies are important and which are not, based on intuitions derived from experience, implicit principles learned from mentors and colleagues, traditions in their fields, etc. Philosophers have made numerous attempts to articulate and frame the principles that guide research and innovation, but these speculative ideas have remained untested and have had a minimal impact on the work of scientists. Here, I propose the development of methods for systematically and objectively studying and improving the modus operandi of research and development. This effort (the science of scientific research or S2) will benefit all aspects of science, from education of young scientists to research, publishing and funding, since it will provide explicit and systematically tested frameworks for practices in science. To illustrate its goals, I will introduce a hypothesis (the Convergent Four) derived from experimental practices common in molecular and cellular biology. This S2 hypothesis proposes that there are at least four fundamentally distinct strategies that scientists can use to test the connection between two phenomena of interest (A and B), and that to establish a compelling connection between A and B it is crucial to develop independently confirmed lines of convergent evidence in each of these four categories. The four categories include negative alteration (decrease probability of A or p(A) and determine p(B)), positive alteration (increase p(A) and determine p(B)), non-intervention (examine whether A precedes B) and integration (develop ideas about how to get from A to B and integrate those ideas with other available information about A and B). I will discuss both strategies to test this hypothesis and its implications for studies of cognitive function.     

An introduction to the European Terrestrial Ecosystem Modelling Activity

The objective of the European Terrestrial Ecosystem Modelling Activity (ETEMA) was to address some of the major challenges in developing generalized models to examine responses of natural and seminatural ecosystems to environmental change at the regional to European scale. The approach described herein was to break down the totality of ecosystem functioning into its key components, each with its characteristic spatial and temporal scales. A conceptual framework was developed describing the configuration of these components as modules within a generalized simulation model. The framework describes the key inputs, outputs and state variables, their spatial and temporal contexts, and information flows between modules. The ‘backbone’ of the model is a system of nested timing loops corresponding to the disparate time scales at which different ecosystem processes occur. The framework is a theoretical construct into which ecosystem models at levels of complexity ranging from the very general to the highly detailed can be mapped, and thus provides a guide for development of models for novel, particularly regional‐scale, applications. A number of subsystem studies of the major components of ecosystem functioning, i.e. modules of the conceptual framework, are briefly introduced herein. The general aim of the subsystem studies was to identify the key alternative formulations (as opposed to minor variants) and test these against observational data. The various subsystem studies concern planetary boundary layer–ecosystem interactions, ecosystem CO₂ and H₂O fluxes, vegetation physiology and phenology, biogeography and vegetation dynamics, detritus and SOM dynamics, soil moisture and human and natural disturbances and, as individual papers, they complete this special ETEMA issue.     

Experience in simulating the structural and dynamic features of small proteins using table supercomputers

The results of theoretical studies of the structural and dynamic features of peptides and small proteins have been presented that were carried out by quantum chemical and molecular dynamics methods in high-performance graphic stations, “table supercomputers,” using distributed calculations by the CUDA technology.     

The state of the antioxidant system during therapy of patients with multiple sclerosis

Activity of erythrocyte glutathione peroxidase (GPx), glutathione reductase (GR), glutathione transferase (GT), glucose-6-phosphate dehydrogenase (G6PDH), catalase and superoxide dismutase (SOD), the level of erythrocyte malonic dialdehyde (MDA) and also total antioxidant activity of blood serum were studied in patients with different types of multiple sclerosis (MS). Investigation of peripherical blood was carried out on the first day of admission to the hospital and after the standard therapy with copaxone. During the whole period of observation all MS patients had a high level of MDA and activity of erythrocyte GP compared with a control group. Other erythrocyte antioxidant enzymes and total antioxidant activity of blood serum exhibited weak positive dynamics in patients with relapsing-remitting multiple sclerosis (RRMS). The pathological decrease of antioxidant system activity in patients with secondary progressive multiple sclerosis (SPMS) was more pronounced and remained unchanged after the treatment. This is consistent with a more severe clinical course of this disease.     

展望数学生态学与生态模型的未来

首先简要回顾了２０世纪数学生态学发展的历史,特别是半２个世纪以来在中国的发展。然后指出了生物学的进步为数学生态学的发展提供了机遇。作者列出了当前数学生态学和生态模型研究的几个热点：⑴非线性动力学;⑵种群的时空动态：包括异质种群动态,源－汇理论以及种群对时、空变化的响应等;⑶多样性和稳定性的关系;⑷行为的动态模型;⑸基于个体的模型。最后指出,生态学中混沌现象,可能表明多年来理论生态学家寻找的种群动态     

Linking the experiential,affective and cognitive domains in biology education: a case study – microscopy

A greater emphasis in school curricula on the technology of science would encourage teachers to engage their students more in practical work. This in turn might be expected to improve students’ attitudes towards science and enhance cognitive outcomes. The paper presents findings from a study on first-year university students’ school experience of, attitudes towards, and knowledge of, microscopy. The findings reinforce the general expectations alluded to above. They also draw attention to the importance of the lower secondary science experience – often a suboptimal one owing to a poor resource base – to the formation of student attitudes and cognitive development with respect to science.