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To link to full-text access for this article, visit this link: http://dx.doi.org/10.1016/j.anbehav.2006.10.011 Byline: Klaus Jaffe, Beatriz Miras, Aivle Cabrera Abstract: We studied mate selection mechanisms in the tomato fruit borer moth Neoleucinodes elegantalis, and we found that males and females tended to mate monogamously. Males chose a female according to the blend of her sex pheromone, and they preferred heavier females for mating. Females that produced the preferred blend of the sex pheromone were heavier and had larger wings. Heavier males were more likely to initiate flight sooner and to be the first to copulate with the female. These results suggest that females compete for faster-responding males by producing an attractive blend of sex pheromone, and that males compete for females that synthesize the more attractive sex pheromone blend by responding to the calling female faster. We propose that the pheromone blend preferred by males constitutes a signal reflecting the genetic and physiological quality of the female that is difficult to achieve for biosynthetic reasons. We found that a synthetic 'supernormal' pheromone blend was more effective in attracting males than was the pheromone produced by calling females, thus providing a useful means of mass trapping of males (e.g. to control infestations in tomato plantations). The results support theoretical predictions that mate selection behaviour in both sexes regulates most sexual encounters, even those modulated by sex pheromones. Author Affiliation: (a) Laboratorio de Comportamiento, Universidad Simon Boli, varVenezuela (a ) Departamento de Quimica, Universidad Simon Bolivar, Venezuela Article History: Received 5 July 2006; Revised 12 September 2006; Accepted 17 October 2006 Article Note: (miscellaneous) MS. number: A10495R

The authors examine differences in occupational performance levels between men and women in Venezuela labor unions. Dissimilarities in perceptual speed and accuracy, task related abilities, and psycho-physiological characteristics are examined.

The leaf-cutting ants, Atta laevigata, recruit soldiers to combat large organisms but tackle conspecific and interspecific ant threats by recruiting small ants in large numbers. A. laevigata prefer established marked trails during intraspecific interactions between adjacent nests. They retreat to the nest entrance and mark the battle site with their Dufour's gland secretion. The defence of one resource such as food may develop into defence of another resource such as the nest. The combat strategies are studied using a simulated vertebrate disturbance.

We studied assortative mating for age, nationality, educational level, and occupational level in married and unmarried parents to test evolutionary models explaining mate selection among humans. We used the marriage and birth registers of the Venezuelan population to compare recently married, fertile married, and fertile unmarried couples. The results show significant assortative mating for all variables, but the results are strongest for age and education. These data suggest that (1) selection criteria based on age vary along the life cycle and differ between married and unmarried couples; (2) male's socioeconomic status is more related to the availability of younger females among unmarried couples compared with married couples, except for young couples; and (3) female selection for better (more educated and/or better employed) mates is stronger among married couples, whereas male selection for younger females or those showing actual reproductive potential is stronger among unmarried couples., The existence of different reproductive strategies among humans has been reported by several researchers. These differences occur between sexes (Daly and Wilson 1983; Buss 1989; Grammer 1989; Jaffe et al. [...]

An evaluation of the fertility distribution of the adult population in Venezuela showed males and females exhibiting different fertility characteristics. There was a greater male/female ratio among the Yanomami, and fertility was higher in males than in females. Higher offspring count was greater in females than males. Females of the low-fertility group had more mates than the males, but the opposite occurred in high-fertility groups.

Introduction: Research productivity has been linked to a country's intellectual and economic wealth. Further analysis is needed to assess the association between the distribution of research across disciplines and the economic status of countries. Methods: By using 55 years of data, spanning 1962 to 2017, of Elsevier publications across a large set of research disciplines and countries globally, this manuscript explores the relationship and evolution of relative research productivity across different disciplines through a network analysis. It also explores the associations of those with economic productivity categories, as measured by the World Bank economic classification. Additional analysis of discipline similarities is possible by exploring the cross-country evolution of those disciplines. Results: Results show similarities in the relative importance of research disciplines among most high-income countries, with larger idiosyncrasies appearing among the remaining countries. This group of high-income countries shows similarities in the dynamics of the relative distribution of research productivity over time, forming a stable research productivity cluster. Lower income countries form smaller, more independent and evolving clusters, and differ significantly from each other and from higher income countries in the relative importance of their research emphases. Country-based similarities in research productivity profiles also appear to be influenced by geographical proximity. Conclusions: This new form of analyses of research productivity, and its relation to economic status, reveals novel insights to the dynamics of the economic and research structure of countries. This allows for a deeper understanding of the role a country's research structure may play in shaping its economy, and also identification of benchmark resource allocations across disciplines for developing countries. [ABSTRACT FROM AUTHOR]

The accumulation of knowledge required to produce economic value is a process that often relates to nations economic growth. Some decades ago many authors, in the absence of other available indicators, used to rely on certain measures of human capital such as years of schooling, enrollment rates, or literacy. In this paper, we show that the predictive power of years of education as a proxy for human capital started to dwindle in 1990 when the schooling of nations began to be homogenized. We developed a structural equation model that estimates a metric of human capital that is less sensitive than average years of education and remains as a significant predictor of economic growth when tested with both cross-section data and panel data. [ABSTRACT FROM AUTHOR]

Polyphonic music files were analyzed using the set of symbols that produced the Minimal Entropy Description, which we call the Fundamental Scale. This allowed us to create a novel space to represent music pieces by developing: (a) a method to adjust a textual description from its original scale of observation to an arbitrarily selected scale, (b) a method to model the structure of any textual description based on the shape of the symbol frequency profiles, and (c) the concept of higher order entropy as the entropy associated with the deviations of a frequency-ranked symbol profile from a perfect Zipfian profile. We call this diversity index the ‘2nd Order Entropy’. Applying these methods to a variety of musical pieces showed how the space of ‘symbolic specific diversity-entropy’ and that of ‘2nd order entropy’ captures characteristics that are unique to each music type, style, composer and genre. Some clustering of these properties around each musical category is shown. These methods allow us to visualize a historic trajectory of academic music across this space, from medieval to contemporary academic music. We show that the description of musical structures using entropy, symbol frequency profiles and specific symbolic diversity allows us to characterize traditional and popular expressions of music. These classification techniques promise to be useful in other disciplines for pattern recognition and machine learning. [ABSTRACT FROM AUTHOR]

Synergy is often defined as the creation of a whole that is greater than the sum of its parts. It is found at all levels of organization in physics, chemistry, biology, social sciences, and the arts. Synergy occurs in open irreversible thermodynamic systems making it difficult to quantify. Negative entropy or negentropy ( [ABSTRACT FROM AUTHOR]

W.D. Hamilton's Inclusive Fitness Theory explains the conditions that favor the emergence and maintenance of social cooperation. Today we know that these include direct and indirect benefits an agent obtains by its actions, and through interactions with kin and with genetically unrelated individuals. That is, in addition to kin-selection, assortation or homophily, and social synergies drive the evolution of cooperation. An Extended Inclusive Fitness Theory (EIFT) synthesizes the natural selection forces acting on biological evolution and on human economic interactions by assuming that natural selection driven by inclusive fitness produces agents with utility functions that exploit assortation and synergistic opportunities. This formulation allows to estimate sustainable cost/benefit threshold ratios of cooperation among organisms and/or economic agents, using existent analytical tools, illuminating our understanding of the dynamic nature of society, the evolution of cooperation among kin and non-kin, inter-specific cooperation, co-evolution, symbioses, division of labor and social synergies. EIFT helps to promote an interdisciplinary cross fertilization of the understanding of synergy by, for example, allowing to describe the role for division of labor in the emergence of social synergies, providing an integrated framework for the study of both, biological evolution of social behavior and economic market dynamics. Another example is a bio-economic understanding of the motivations of terrorists, which identifies different forms of terrorism. [ABSTRACT FROM AUTHOR]

We studied the association of shame when children experience food insecurity and management strategies. The cross-sectional study assessed food insecurity in 404 children using 2 instruments with 10 and 11 items for food insecurity and management strategies. Food insecurity in children was associated with shame of others knowing that they were out of food (γ = 0.37, P < .01). Nine out of 11 management strategies were associated (P < 0.05) with feeling of shame of being out of food. Older girls were most likely to report shame when they reported lack of food (P < .01). Understanding these relations may increase access to food in socially acceptable ways. [ABSTRACT FROM AUTHOR]

The complexity of the description of a system is a function of the entropy of its symbolic description. Prior to computing the entropy of the system's description, an observation scale has to be assumed. In texts written in artificial and natural languages, typical scales are binary, characters, and words. However, considering languages as structures built around certain preconceived set of symbols, like words or characters, limits the level of complexity that can be revealed analytically. This study introduces the notion of the fundamental description scale to analyze the essence of the structure of a language. The concept of Fundamental Scale is tested for English and musical instrument digital interface (MIDI) music texts using an algorithm developed to split a text in a collection of sets of symbols that minimizes the observed entropy of the system. This Fundamental Scale reflects more details of the complexity of the language than using bits, characters or words. Results show that this Fundamental Scale allows to compare completely different languages, such as English and MIDI coded music regarding its structural entropy. This comparative power facilitates the study of the complexity of the structure of different communication systems. [ABSTRACT FROM AUTHOR]

Do different fields of knowledge require different research strategies? A numerical model exploring different virtual knowledge landscapes, revealed two diverging optimal search strategies. Trend following is maximized when the popularity of new discoveries determine the number of individuals researching it. This strategy works best when many researchers explore few large areas of knowledge. In contrast, individuals or small groups of researchers are better in discovering small bits of information in dispersed knowledge landscapes. Bibliometric data of scientific publications showed a continuous bipolar distribution of these strategies, ranging from natural sciences, with highly cited publications in journals containing a large number of articles, to the social sciences, with rarely cited publications in many journals containing a small number of articles. The natural sciences seem to adapt their research strategies to landscapes with large concentrated knowledge clusters, whereas social sciences seem to have adapted to search in landscapes with many small isolated knowledge clusters. Similar bipolar distributions were obtained when comparing levels of insularity estimated by indicators of international collaboration and levels of country-self citations: researchers in academic areas with many journals such as social sciences, arts and humanities, were the most isolated, and that was true in different regions of the world. The work shows that quantitative measures estimating differences between academic disciplines improve our understanding of different research strategies, eventually helping interdisciplinary research and may be also help improve science policies worldwide. [ABSTRACT FROM AUTHOR]

THE CURRENT POLITICAL CRISIS IN VENEZUELA threatens to destroy the Venezuelan scientific infrastructure, built up during the past 50 years. During 2002, the Ministry of Science and Technology received only [...]

Author(s): Klaus Jaffe [1] Sir -- Although your Millennium Essays focus on events in the past 1,000 years, it is easy to lose perspective when analysing time-windows much greater than [...]

Scientific productivity of middle income countries correlates stronger with present and future wealth than indices reflecting its financial, social, economic or technological sophistication. We identify the contribution of the relative productivity of different scientific disciplines in predicting the future economic growth of a nation. Results show that rich and poor countries differ in the relative proportion of their scientific output in the different disciplines: countries with higher relative productivity in basic sciences such as physics and chemistry had the highest economic growth in the following five years compared to countries with a higher relative productivity in applied sciences such as medicine and pharmacy. Results suggest that the economies of middle income countries that focus their academic efforts in selected areas of applied knowledge grow slower than countries which invest in general basic sciences. [ABSTRACT FROM AUTHOR]

All termites secrete trail pheromones from their sternal gland, whereas ants use a variety of glands for this purpose. This and the diversity of chemical compounds that serve as trail pheromones among ants, and the uniformity of chemicals among termite trails, suggest a different evolutionary historical dynamics for the development of chemical mass recruitment in both taxa. Termites in addition show pheromonal parsimony. This suggest a single evolutionary origin of pheromone trails in Isoptera, whereas chemical mass recruitment among Formicidae seems to have evolved many times and in different ways. Despite these very different evolutionary histories, both taxa evolved chemical recruitment systems involving attractants and orientation signals, and at least two divergent decision making system for recruitment. This evolutionary analogy suggests that chemical mass recruitment is constraint by fundamental physical dynamic laws. Artificial intelligence including "mass intelligence" and "ant intelligence", emulates mass recruitment in interacting virtual agents in search of optimal solutions. This approach, however, has copied only the "Democratic" recruitment dynamics with a single compound pheromone. Ant and termite evolution shows more sophisticated recruitment dynamics which, if understood properly, will improve our understanding of nature and applications of artificial "swarm intelligence". [ABSTRACT FROM AUTHOR]

Social capital is thought to be an important source of social cohesion and a key ingredient for socioeconomic expansion in developing nations. We study its role among street vendors and their money lenders in Caracas, an illegal business based solely on trust and social bonds. We analyzed demand and supply of credit by informal street vendors and money lenders, exploring the relationship between street vendors' assets, income generated, financial and human capital and financial strategies, and those of the money lenders. We found that street vendors' main source of working capital were money lenders, despite charging the highest interest rate. The kind and amount of credit was not correlated to higher incomes. On the supply side, we found that money lenders based their business almost exclusively on trust and manage all clients personally, which limits the growth of their business. This study suggests that the main constraint for increased productivity in the informal sector is not the cost of capital, but the transaction costs involved in accessing credit and a lack of legal enforcements, and that improvement of the lending business is difficult without institutional support. [ABSTRACT FROM AUTHOR]