An evolutionary life-history framework for understanding sex differences in human mortality rates

Sex differences in mortality rates stem from genetic, physiological, behavioral, and social causes that are best understood when integrated in an evolutionary life history framework. This paper investigates the Male-to-Female Mortality Ratio (M:F MR) from external and internal causes and across contexts to illustrate how sex differences shaped by sexual selection interact with the environment to yield a pattern with some consistency, but also with expected variations due to socioeconomic and other factors. Daniel J. Kruger earned his Ph.D. in Social Psychology at Loyola University Chicago and is currently an Assistant Research Scientist at the University of Michigan. His evolutionary research interests include altruism, cooperation, competition, risk, life history, mortality patterns, mating strategies, and applications for social and ecological sustainability. Randolph M. Nesse is Professor of Psychiatry, Professor of Psychology, and Research Professor at the Institute for Social Research at the University of Michigan, where he directs the Evolution and Human Adaptation Program. His research interests are focused on Darwinian medicine, especially the origins of depression and other forms of psychopathology.     

Relative digit lengths predict men’s behavior and attractiveness during social interactions with women

Recent evidence suggests that the ratio of the lengths of the second and fourth fingers (2D:4D) may reflect degree of prenatal androgen exposure in humans. In the present study, we tested the hypotheses that 2D:4D would be associated with ratings of men’s attractiveness and with levels of behavioral displays during social interactions with potential mates. Our results confirm that male 2D:4D was significantly negatively correlated with women’s ratings of men’s physical attractiveness and levels of courtship-like behavior during a brief conversation. These findings provide novel evidence for the organizational effects of hormones on human male attractiveness and social behavior. This work was supported by a Hind’s Fund Research Grant from the Committee on Evolutionary Biology at the University of Chicago to J.R.R. and by NIH grants R01-MH62577 and K02-MH63097 to D.M. James Roney, Ph.D., is now an assistant professor of psychology at the University of California, Santa Barbara. His research interests are in human evolutionary psychology and behavioral endocrinology. Dario Maestripieri, Ph.D., is an associate professor of Human Development at the University of Chicago. He has broad research interests in behavior, development, and evolution.     

Playing for keeps

The hypothesis that play behavior is more prevalent in larger-brained animals has recently been challenged. It may be, for example, that only certain brain structures are related to play. Here, we analyze social play behavior with regards to the cerebellum: a structure strongly implicated in motor-development, and possibly also in cognitive skills. We present an evolutionary analysis of social play and the cerebellum, using a phylogenetic comparative method. Social play frequency and relative cerebellum size are positively correlated. Hence, there appears to be a link between the evolutionary elaboration of social play and the cerebellum. Kerrie Lewis recently received her Ph.D. from the University of Durham, U.K., under the supervision of Robert Barton. She is currently working in a postdoctoral position at Duke University, conducting research into primate numerical cognition. Robert Barton is a Reader in Evolutionary Anthropology at the University of Durham. His interests comprise primate behavior and brain evolution. Both authors are keen advocates for the use of the comparative method in evolutionary studies.     

Cognitive cooperation

Cooperation can evolve in the context of cognitive activities such as perception, attention, memory, and decision making, in addition to physical activities such as hunting, gathering, warfare, and childcare. The social insects are well known to cooperate on both physical and cognitive tasks, but the idea of cognitive cooperation in humans has not received widespread attention or systematic study. The traditional psychological literature often gives the impression that groups are dysfunctional cognitive units, while evolutionary psychologists have so far studied cognition primarily at the individual level. We present two experiments that demonstrate the superiority of thinking in groups, but only for tasks that are sufficiently challenging to exceed the capacity of individuals. One of the experiments is in a brain-storming format, where advantages of real groups over nominal groups have been notoriously difficult to demonstrate. Cognitive cooperation might often operate beneath conscious awareness and take place without the need for overt training, as evolutionary psychologists have stressed for individual-level cognitive adaptations. In general, cognitive cooperation should be a central subject in human evolutionary psychology, as it already is in the study of the social insects. David Sloan Wilson is an evolutionary biologist interested in a broad range of issues relevant to human behavior. He has published in psychology, anthropology, and philosophy journals in addition to his mainstream biological research. He is author of Darwin’s Cathedral: Evolution, Religion, and the Nature of Society (University of Chicago Press, 2002) and co-author with philosopher Elliott Sober of Unto Others: The Evolution and Psychology of Unselfish Behavior (Harvard University Press, 1998). John J. Timmel received his Ph.D. from Binghamton University in 2001. Ralph R. Miller is Distinguished Professor of Psychology at Binghamton University. His research interests include information processing in animals, with an emphasis on elementary, evolutionarily derived, fundamentals of learning and memory that might be expected to generalize across species, including humans.     

The social structural basis of the organization of persons in memory

This paper summarizes and discusses three studies of patterns in the recall of persons in socially bounded communities. Individual sin three different communities (a graduate academic program, a religious fellowship, and a department in a formal organization) free-listed the names of persons in their respective communities. Results indicate that the individuals in each community share a common cognitive structure of community members that is based on the community’s social structure. These studies, combined with the results of other research, strongly suggest that persons are organized in memory according to social structural principles and that affiliation and dominance are the principal dimensions of social cognition. Suggestions are offered for future research to test the generality of these findings. An earlier version of this paper was presented at the 3rd European Conference on Social Network Analysis, June, 1993, in München (Munich), Germany. This research was supported by an Air Force Laboratory Graduate Fellowship awarded to the author by the U. S. Air Force Office of Scientific Research. Devon D. Brewer received his Ph.D. from the University of California, Irvine, and is currently a research consultant with the Social Development Research Group at the University of Washington. His research focuses on social networks, cognitive anthropology, and research methods.     

Social networks strongly predict the gut microbiota of wild mice

The mammalian gut teems with microbes, yet how hosts acquire these symbionts remains poorly understood. Research in primates suggests that microbes can be picked up via social contact, but the role of social interactions in non-group-living species remains underexplored. Here, we use a passive tracking system to collect high resolution spatiotemporal activity data from wild mice (Apodemus sylvaticus). Social network analysis revealed social association strength to be the strongest predictor of microbiota similarity among individuals, controlling for factors including spatial proximity and kinship, which had far smaller or nonsignificant effects. This social effect was limited to interactions involving males (male-male and male-female), implicating sex-dependent behaviours as driving processes. Social network position also predicted microbiota richness, with well-connected individuals having the most diverse microbiotas. Overall, these findings suggest social contact provides a key transmission pathway for gut symbionts even in relatively asocial mammals, that strongly shapes the adult gut microbiota. This work underlines the potential for individuals to pick up beneficial symbionts as well as pathogens from social interactions.Subject terms: Microbial ecology, Zoology, Community ecology     

Female sexual advertisement reflects resource availability in twentieth-century UK society

Evolutionary theory suggests that men and women differ in the characteristics valued in potential mates. In humans, males show a preference for physical attractiveness, whereas females seek cues that relate to resources and future earning potential. If women pursue marriage as an economic strategy, female sexual advertisement should increase during periods of poor economic conditions when the number of high-quality male partners becomes a limited resource. To test this prediction, measures of skin display and clothing tightness were taken for clothes portrayed in UK Vogue magazine from 1916 to 1999. These estimates of sexual advertisement were analyzed in relation to an index of economic prosperity (GDP), while controlling for general increases in economic conditions and sexual display over the course of the past century. The results indicate that female sexual display increases as economic conditions decline, with the level of breast display and the tightness of clothing at the waist and hips the key factors underlying this increase. Breast size and symmetry and female body form are secondary sexual characteristics that play an important role in sexual attractiveness. Since advertisement of these features increases as levels of competition for high-quality partners increases, females appear to use marriage as an economic strategy. Patterns of female fashion appear to be underpinned by evolutionary considerations relating resource availability to female reproductive success. Russell Hill, B.Sc., M.Phil., Ph.D. is an Addison Wheeler Research Fellow at the University of Durham. His main research interests are in the evolution of mammalian social systems and his current projects span evolutionary anthropology, conservation biology, and theoretical modeling. Sophie Donovan B.Sc., M.Sc. has recently completed an M.Sc. in Speech and Language Sciences at University College London, focusing on the development of a deaf child’s vocabulary through conversations in the classroom. She is currently practicing as a Speech and Language Therapist. Nicola Koyama, B.Sc., Ph.D. is a Senior Lecturer at Liverpool John Moores University. Her principal research interests lie in the evolution of social systems in human and non-human primates, in particular the regulation of social relationships, mate preferences, and conflict management.     

Waist-to-hip ratio versus body mass index as predictors of fitness in women

The claim that men prefer women with low waist-to-hip ratios (WHR) has been vigorously disputed. We examine self-report data from 359 primiparous Polish women (with normal singleton births and healthy infants) and show that WHR correlates with at least one component of a woman’s biological fitness (her first child’s birth weight, a variable that significantly affects infant survival rates). However, a woman’s Body Mass Index (BMI) is a better predictor of her child’s neonatal weight in small-bodied women (<54 kg). The failure to find a preference for low WHR in some traditional populations may thus be a consequence of the fact that, even in western populations, body mass is a better predictor of fitness in those cases characterized by low maternal body weight. Boguslaw Pawłowski Ph.D., D.Sc., is a researcher and lecturer in biological anthropology at the University of Wrocław, Poland. His research interests focus on mechanisms of human evolution (with special attention to the evolution of subcutaneous fat tissue distribution) and human mate choice. Robin Dunbar Ph.D., FBA is British Academy Research Professor of Evolutionary Psychology at the University of Liverpool, England, and co-Director of the British Academy Centenary Research Project. His research interests focus on the evolutionary and environmental determinants of social and reproductive strategies, with particular references to humans, nonhuman primates, and ungulates.     

On Building Parallel &; Grid Applications: Component Technology and Distributed Services

Software Component Frameworks are well known in the commercial business application world and now this technology is being explored with great interest as a way to build large-scale scientific applications on parallel computers. In the case of Grid systems, the current architectural model is based on the emerging web services framework. In this paper we describe progress that has been made on the Common Component Architecture model (CCA) and discuss its success and limitations when applied to problems in Grid computing. Our primary conclusion is that a component model fits very well with a services-oriented Grid, but the model of composition must allow for a very dynamic (both in space and in time) control of composition. We note that this adds a new dimension to conventional service workflow and it extends the “Inversion of Control” aspects of most component systems. Dennis Gannon is a professor of Computer Science at Indiana University. He received his Ph.D. in Computer Science from the University of Illinois in 1980 and his Ph.D. in Mathematics from the University of California in 1974. From 1980 to 1985, he was on the faculty at Purdue University. His research interests include software tools for high performance distributed systems and problem solving environments for scientific computation. Sriram Krishnan received his Ph.D. in Computer Science from Indiana University in 2004. He is currently in the Grid Development Group at the San Diego Supercomputer Center where he is working on designing a Web services based architecture for biomedical applications that is secure and scalable, and is conducive to the creation of complex workflows. He received my undergraduate degree in Computer Engineering from the University of Mumbai, India. Liang Fang is a Ph.D. student in Computer Science at Indiana University. His research interests include Grid computing, Web services, portals, their security and scalability issues. He is a Research Assistant in Computer Science at Indiana University, currently responsible for investigating authorization and other security solutions to the project of Linked Environments for Atmospheric Discovery (LEAD). Gopi Kandaswamy is a Ph.D. student in the Computer Science Department at Indiana University where he is current a Research Assistant. His research interests include Web services and workflow systems for the Grid. Yogesh Simmhan received his B.E. degree in Computer Science from Madras University, India in 2000, and is a doctoral candidate in Computer Science at Indiana University. He is currently working as a Research Assistant at Indiana University, investigating data management issues in the LEAD project. His interests lie in data provenance for workflow systems and its use in data quality estimation. Aleksander Slominski is a Ph.D. student in the Computer Science at Indiana University. His research interests include Grid and Web Services, streaming XML Pull Parsing and performance, Grid security, asynchronous messaging, events, and notifications brokers, component technologies, and workflow composition. He is currently working as a Research Assistant investigating creation and execution of dynamic workflows using Grid Process Execution Language (GPEL) based on WS-BPEL.     

Estrogens and relationship jealousy

The relation between sex hormones and responses to partner infidelity was explored in two studies reported here. The first confirmed the standard sex difference in relationship jealousy, that males (n=133) are relatively more distressed by a partner’s sexual infidelity and females (n=159) by a partner’s emotional infidelity. The study also revealed that females using hormone-based birth control (n=61) tended more toward sexual jealousy than did other females, and reported more intense affective responses to partner infidelity (n=77). In study two, 47 females were assessed four times across one month. Patterns of response to partner infidelity did not vary by week of menstrual cycle, but significant relations between salivary estradiol level and jealousy responses were obtained during the time of rising and high fertility risk. The implications, at least for females, are that any evolved psychological, affective, or behavioral dispositions regarding reproduction-related relationships are potentially moderated by estradiol, and that the use of synthetic hormones may disrupt this relation. David C. Geary is the Frederick A. Middlebush Professor of Psychological Sciences at the University of Missouri at Columbia. He has published nearly 100 articles and chapters across a wide range of topics, including cognitive and developmental psychology, education, evolutionary biology, and medicine. His two books, Children’s Mathematical Development (1984) and Male, Female: The Evolution of Human Sex Differences (1988), have been published by the American Psychological Association. M. Catherine DeSoto recently completed her Ph.D. in psychological sciences at the University of Missouri at Columbia and is currently assistant professor of psychobiology at the University of Northern Iowa. Her research primarily focuses on the interface between biology and behavior, including the relation between sex hormones and personality disorders. Mary K. Hoard is completing her Ph.D. studies in psychological sciences at the University of Missouri at Columbia and is currently a research specialist in the Department of Psychological Sciences. Her research interests focus on children’s cognitive development, as well as the relation between sleep and cognitive and psychological functioning. Melanie Skaggs Sheldon is a graduate student in the Department of Psychological Sciences at the University of Missouri at Columbia. Her research interests include social cooperation, sexual behavior, and personality, as understood from an evolutionary perspective. M. Lynne Cooper is a professor of psychological sciences and director of the training program in social psychology at the University of Missouri at Columbia. She is an associate editor of the Journal of Personality and the author of more than 60 articles and chapters in the areas of personality and social psychology. Her primary research efforts involve directing a longitudinal study of risky sexual behavior of adolescents and young adults.     

The effect of infant fetal alcohol syndrome facial features on adoption preference

Infant facial characteristics may affect discriminative parental solicitude because they convey information about the health of the offspring. We examined the effect of Fetal Alcohol Syndrome (FAS) infant facial characteristics on hypothetical adoption preferences, ratings of attractiveness, and ratings of health. As expected, potential parents were more likely to adopt “normal” infants, and they rated the FAS infants as less attractive and less healthy. Cuteness/attractiveness was the best predictor of adoption likelihood. This study formed part of the first author’s undergraduate honors thesis at Queen’s University conducted under the supervision of the third author. This research was supported by an Ontario Mental Health Foundation Senior Research Fellowship and a research contract from the Kingston Providence Continuing Care Centre to the third author. Katherine L. Waller is a Ph.D. candidate in psychology at Queen’s University. Her research focuses on health psychology and behavior in close relationships. Anthony Volk is a Ph.D. candidate in psychology at Queen’s University. His research focuses on evolutionary psychology and parental investment. Vernon L. Quinsey is a professor of psychology and psychiatry at Queen’s University. His research focuses on forensic and evolutionary psychology.     

Reservation food sharing among the Ache of Paraguay

We describe food transfer patterns among Ache Indians living on a permanent reservation. The social atmosphere at the reservation is characterized by a larger group size, a more predictable diet, and more privacy than the Ache typically experience in the forest while on temporary foraging treks. Although sharing patterns vary by resource type and package size, much of the food available at the reservation is given to members of just a few other families. We find significant positive correlations between amounts transferred among pairs of families, a measure of the "contingency" component required of reciprocal altruism models. These preferred sharing partners are usually close kin. We explore implications of these results in light of predictions from current sharing models. This research was supported by an L.S.B. Leakey Foundation grant and an NSF Graduate Fellowship to M. Gurven, and NSF Grant #9617692 to K. Hill and A. M. Hurtado. Michael Gurven recently obtained his Ph.D. from the University of New Mexico and is now an assistant professor at UC-Santa Barbara. His current interests include exploring ways in which socioecology influences variation in cooperation within and across human groups, and how cultural norms of fairness co-evolve with systems of resource production and distribution. Wesley Allen-Arave is pursuing his Ph.D. in anthropology at the University of New Mexico. His primary research interests focus on exploring variations across time and space in nonreciprocated altruistic acts, cooperation within social networks, and concerns over social approval. Kim Hill is a professor of anthropology in the Human Evolutionary Ecology (HEE) program at the University of New Mexico. His primary research interests include hunter-gatherer behavioral ecology, life history theory, food acquisition strategies, food sharing, cooperation, and biodiversity conservation in lowland South America. He has done fieldwork with Nahautl, Ache, Guarani, Hiwi, Mashco Piro, Matsiguenga, and Yora indigenous peoples of Central and South America. A. Magdalena Hurtado is associate professor of anthropology at the University of New Mexico. Her research interests include the evolution of cooperation between the sexes, infectious disease and immune system adaptations, the epidemiology of hunter-gatherer societies in transition, and the effects of health on economic productivity. During the past 20 years she has conducted fieldwork among several South American native populations but now works primarily among the Ache of eastern Paraguay.     

Finding Hamiltonian paths in tournaments on clusters

This paper presents a general methodology for the communication-efficient parallelization of graph algorithms using the divide-and-conquer approach and shows that this class of problems can be solved in cluster environments with good communication efficiency. Specifically, the first practical parallel algorithm, based on a general coarse-grained model, for finding Hamiltonian paths in tournaments is presented. On any such parallel machines, this algorithm uses only (3log p+1), where p is the number of processors, communication rounds, which is independent of the tournament size, and can reuse the existing linear-time algorithm in the sequential setting. For theoretical completeness, the algorithm is revised for fine-grained models, where the ratio of computation and communication throughputs is low or the local memory size, , of each individual processor is extremely limited for any , solving the problem with O(log p) communication rounds, while the hidden constant grows with the scalability factor 1/∊. Experiments have been carried out on a Linux cluster of 32 Sun Ultra5 computers and an SGI Origin 2000 with 32 R10000 processors. The algorithm performance on the Linux Cluster reaches 75% of the performance on the SGI Origin 2000 when the tournament size is about one million. Computational resources and technical support are provided by the Center for Computational Research (CCR) at the State University of New York at Buffalo. Chun-Hsi Huang received his Ph.D. degree in Computer Science from the State University of New York at Buffalo in 2001. His is currently an Assistant Professor of Computer Science and Engineering at the University of Connecticut. His interests include High Performance Parallel Computing, Cluster and Grid Computing, Biomedical and Health Informatics, Algorithm Design and Analysis, Experimental Algorithms and Computational Biology. Sanguthevar Rajasekaran received his Ph.D. degree in Computer Science from Harvard University in 1988. Currently he is the UTC Chair Professor of Computer Science and Engineering at the University of Connecticut and the Director of Booth Engineering Center for Advanced Technologies (BECAT). His research interests include Parallel Algorithms, Bioinformatics, Data Mining, Randomized Computing, Computer Simulations, and Combinatorial Optimization. Laurence Tianruo Yang received is Ph.D. degree in Computer Science from the Oxford University. He is currently a professor of Computer Science of the St. Francis Xavier University in Canada. His research interests include high-performance computing, embedded systems, computer archtecture and high-speed networking. Xin He received his Ph.D. degree in Computer Science from the Ohio State University in 1987. He is currently Professor of Computer Science and Engineering at the State University of New York at Buffalo. His research interests include Algorithms, Data Structures, Combinatorics and Computational Geometry.     

Public Goods Games in Japan

Social dilemmas, in which individually selfish behavior leads to collectively deficient outcomes, continue to be an important topic of research because of their ubiquity. The present research with Japanese participants replicates, with slight modifications, public goods games previously run in the United States. In contrast to recent work showing profound cross-cultural differences, the results of two studies reported here show remarkable cross-cultural similarities. Specifically, results suggest that (1) as in the U.S., allowing incremental commitment to a public good is effective at eliciting contributions, (2) individual differences in trust affect contributions, (3) the distribution of player types in the U.S. and Japan are very similar, and (4) the dynamics of play in the public goods games used here are strikingly parallel. These results are discussed in the context of the relationship between cross-cultural differences and economic institutional environments.

Finding a suitable system scale to optimize program performance on software DSM systems

Recently, software distributed shared memory systems have successfully provided an easy user interface to parallel user applications on distributed systems. In order to prompt program performance, most of DSM systems usually were greedy to utilize all of available processors in a computer network to execute user programs. However, using more processors to execute programs cannot necessarily guarantee to obtain better program performance. The overhead of paralleling programs is increased by the addition in the number of processors used for program execution. If the performance gain from program parallel cannot compensate for the overhead, increasing the number of execution processors will result in performance degradation and resource waste. In this paper, we proposed a mechanism to dynamically find a suitable system scale to optimize performance for DSM applications according to run-time information. The experimental results show that the proposed mechanism can precisely predict the processor number that will result in the best performance and then effectively optimize the performance of the test applications by adapting system scale according to the predicted result. Yi-Chang Zhuang received his B.S., M.S. and Ph.D. degrees in electrical engineering from National Cheng Kung University in 1995, 1997, and 2004. He is currently working as an engineer at Industrial Technology Research Institute in Taiwan. His research interests include object-based storage, file systems, distributed systems, and grid computing. Jyh-Biau Chang is currently an assistant professor at the Information Management Department of Leader University in Taiwan. He received his B.S., M.S. and Ph.D. degrees from Electrical Engineering Department of National Cheng Kung University in 1994, 1996, and 2005. His research interest is focused on cluster and grid computing, parallel and distributed system, and operating system. Tyng-Yeu Liang is currently an assistant professor who teaches and studies at Department of Electrical Engineering, National Kaohsiung University of Applied Sciences in Taiwan. He received his B.S., M.S. and Ph.D. degrees from National Cheng Kung University in 1992, 1994, and 2000. His study is interested in cluster and grid computing, image processing and multimedia. Ce-Kuen Shieh currently is a professor at the Electrical Engineering Department of National Cheng Kung University in Taiwan. He is also the chief of computation center at National Cheng Kung University. He received his Ph.D. degree from the Department of Electrical Engineering of National Cheng Kung University in 1988. He was the chairman of the Electrical Engineering Department of National Cheng Kung University from 2002 to 2005. His research interest is focused on computer network, and parallel and distributed system. Laurence T. Yang is a professor at the Department of Computer Science, St. Francis Xavier University, Canada. His research includes high performance computing and networking, embedded systems, ubiquitous/pervasive computing and intelligence, and autonomic and trusted computing.     

Dolphin social intelligence: complex alliance relationships in bottlenose dolphins and a consideration of selective environments for extreme brain size evolution in mammals

Bottlenose dolphins in Shark Bay, Australia, live in a large, unbounded society with a fission-fusion grouping pattern. Potential cognitive demands include the need to develop social strategies involving the recognition of a large number of individuals and their relationships with others. Patterns of alliance affiliation among males may be more complex than are currently known for any non-human, with individuals participating in 2-3 levels of shifting alliances. Males mediate alliance relationships with gentle contact behaviours such as petting, but synchrony also plays an important role in affiliative interactions. In general, selection for social intelligence in the context of shifting alliances will depend on the extent to which there are strategic options and risk. Extreme brain size evolution may have occurred more than once in the toothed whales, reaching peaks in the dolphin family and the sperm whale. All three 'peaks' of large brain size evolution in mammals (odontocetes, humans and elephants) shared a common selective environment: extreme mutual dependence based on external threats from predators or conspecific groups. In this context, social competition, and consequently selection for greater cognitive abilities and large brain size, was intense.