Miller, G. (2006). Animal behavior. Signs of empathy seen in mice. Science, 312(5782), 1860–1861.
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Milo, R., Itzkovitz, S., Kashtan, N., Levitt, R., & Alon, U. (2004). Response to Comment on “Network Motifs: Simple Building Blocks of Complex Networks” and “Superfamilies of Evolved and Designed Networks”. Science, 305(5687), 1107d.
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Milo, R., Itzkovitz, S., Kashtan, N., Levitt, R., Shen-Orr, S., Ayzenshtat, I., et al. (2004). Superfamilies of Evolved and Designed Networks. Science, 303(5663), 1538–1542.
Abstract: Complex biological, technological, and sociological networks can be of very different sizes and connectivities, making it difficult to compare their structures. Here we present an approach to systematically study similarity in the local structure of networks, based on the significance profile (SP) of small subgraphs in the network compared to randomized networks. We find several superfamilies of previously unrelated networks with very similar SPs. One superfamily, including transcription networks of microorganisms, represents “rate-limited” information-processing networks strongly constrained by the response time of their components. A distinct superfamily includes protein signaling, developmental genetic networks, and neuronal wiring. Additional superfamilies include power grids, protein-structure networks and geometric networks, World Wide Web links and social networks, and word-adjacency networks from different languages.
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Milo, R., Shen-Orr, S., Itzkovitz, S., Kashtan, N., Chklovskii, D., & Alon, U. (2002). Network Motifs: Simple Building Blocks of Complex Networks. Science, 298(5594), 824–827.
Abstract: Complex networks are studied across many fields of science. To uncover their structural design principles, we defined “network motifs,” patterns of interconnections occurring in complex networks at numbers that are significantly higher than those in randomized networks. We found such motifs in networks from biochemistry, neurobiology, ecology, and engineering. The motifs shared by ecological food webs were distinct from the motifs shared by the genetic networks of Escherichia coli and Saccharomyces cerevisiae or from those found in the World Wide Web. Similar motifs were found in networks that perform information processing, even though they describe elements as different as biomolecules within a cell and synaptic connections between neurons in Caenorhabditis elegans. Motifs may thus define universal classes of networks. This approach may uncover the basic building blocks of most networks.
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Moeller, B. A., McCall, C. A., Silverman, S. J., & McElhenney, W. H. (). Estimation of Saliva Production in Crib-Biting and Normal Horses. Journal of Equine Veterinary Science, 28(2), 85–90.
Abstract: Increasing saliva flow to buffer the stomach has been hypothesized as a basis for crib-biting in horses. Saliva amounts in seven cribbing and seven noncribbing (control) horses were compared either pre- and post-cribbing or at pre- and post-5-minute intervals for controls. A pre-weighed cellulose sponge was used to collect saliva at the exit of the submandibular gland for 30 seconds, then reweighed. Data were analyzed as repeated measures. Mean saliva weight overall was similar between cribbing and control horses (1.2 and 1.5 g, respectively, SE = 0.2). However, mean saliva weight for pre- and post-samples (1.5 and 1.2 g, respectively, SE = 0.06) for all horses was significantly lower (P < .05) in the post-sample, indicating a drying effect of the sponge. Because of a strong tendency (P < .06) for a treatment-by-sampling time interaction, data were analyzed by sampling time and cribbing status. Mean saliva weights in the pre-sample were 0.43 g higher (P < .03) in control than cribbing horses. Control horses showed a 0.38 g decrease (P < .01) in saliva weight between pre- and post-samples, which was not evident in cribbing horses. To determine whether cribbing offset the saliva decrease seen in control horses, nine cribbing horses were sampled as before but prevented from cribbing between samples. A similar reduction (0.39 g, P < .01) in saliva weights between samples with cribbing allowed versus cribbing prevented was seen in these horses as was seen in control horses in the initial study. Because cribbing does produce saliva, gastrointestinal irritation could be a motivating cause for cribbing.
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Morell, V. (2007). Nicola Clayton profile. Nicky and the jays (Vol. 315).
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Mulcahy, N. J., & Call, J. (2006). Apes save tools for future use. Science, 312(5776), 1038–1040.
Abstract: Planning for future needs, not just current ones, is one of the most formidable human cognitive achievements. Whether this skill is a uniquely human adaptation is a controversial issue. In a study we conducted, bonobos and orangutans selected, transported, and saved appropriate tools above baseline levels to use them 1 hour later (experiment 1). Experiment 2 extended these results to a 14-hour delay between collecting and using the tools. Experiment 3 showed that seeing the apparatus during tool selection was not necessary to succeed. These findings suggest that the precursor skills for planning for the future evolved in great apes before 14 million years ago, when all extant great ape species shared a common ancestor.
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Packer, C., & Heinsohn, R. (1996). Response:Lioness leadership. Science, 271(5253), 1215–1216.
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Peham, C., Licka, T., Schobesberger, H., & Meschan, E. (2004). Influence of the rider on the variability of the equine gait. European Workshop on Movement Science, 23(5), 663–671.
Abstract: The aim of this study was to show that the motion pattern of a well-ridden horse varies less than the motion pattern of an unridden horse. In order to do so, we recorded the motion of two markers, one attached to the dorsal spinous processus of lumbar vertebra L4, the other to the right fore hoof. In total, we measured 21 horses in trot, ridden and unridden, with a fitting and with a non-fitting saddle. After breaking down the entire time series of the three-dimensional motion of the markers into their respective motion cycles, we computed a measure of motion pattern variability for the motion as well as for the derivatives (velocity and acceleration) along each of the three principal dimensions. Two of six variables (velocity and acceleration in the forward direction) displayed a significant discrimination between the ridden and the unridden case, and demonstrated the beneficial effect of a rider on the horse's motion pattern variability. Saddle fit was shown to have also an influence on motion variability: variability of two variables (velocity and of acceleration in forward direction) was significantly lower with a fitting saddle compared to a non-fitting saddle, a third variable (acceleration in the transversal direction) showed a significant difference also. This new method offers an objective evaluation of saddle fit, and a sensitive assessment of the quality of the rider in the moving horse.
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Pennisi, E. (2007). PSYCHOLOGY: Nonhuman Primates Demonstrate Humanlike Reasoning. Science, 317(5843), 1308–.
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