Three new sauropod dinosaurs from the Upper Jurassic of Colorado

From 1972 to 1982 three exceptionally large sauropod scapulocoracoids and other equally large sauropod bones were collected from the base of the Brushy Basin Member of the Upper Jurassic, Morrison Formation, in western Colorado. Two of the scapulae are conspecific, but the third represents a second genus and possibly a new family. The two conspecific specimens are described here as: Supersaurus vivianae ; the second genus is described as Ultrasaurus mcintoshi , and a large, robust anterior dorsal vertebra of unique form is described as Dystylosaurus edwini . Various miscellaneous elements are referred to the three genera.         

Some edaphic relations of southeastern Idaho wildlands

Soil samples from the Al horizon and dominant subsoil horizon at 190 sites were analyzed for Ca, Mg, K, P, and organic matter contents in conjunction with a soil resource inventory of the Caribou National Forest. Vegetative composition and production data were compared to the edaphic factors to derive relationships useful to the land manager. Organic matter was effective in distinguishing between soil orders and was positively correlated to vegetative production. Vegetative cycling of the nutrients P and K was most pronounced in soils of the order Mollisols, to a lesser degree in the Alfisols, and not at all in the Entisols. The K/Mg ratio of the soil showed a negative correlation to grass production and a positive correlation with shrub production. An interpretative table is provided to aid determinations of high versus low values for the edaphic factors studied.     

Applicability of the universal soil loss equation for southeastern Idaho wildlands

Soil physical and chemical properties were studied to identify habitat differences among 15 sagebrush dominated plant community types of the Great Basin. The sagebrush taxa studied followed an apparent gradient of increasing soil fertility, with Artemisia nova commonly occupying the lowest fertility sites. Sites of moderate soil fertility tended to support A. arbuscula , A. longiloba , and A. tridentata ssp. Wyomingensis . Artemisia tridentata ssp. Tridentata and A. tridentata ssp. Vaseyana were commonly found on sites with the highest soil fertility levels as indicated by maximum organic carbon, nitrogen, and phosphorus levels within such soils. Mollic epipedon depth, total depth, and water-holding capacity of the soil also increased as the dominant sagebrush taxon of a community type changed from A. nova to A. tridentata ssp. Vaseyana . Data from this study provide information concerning soil relationships within relatively undisturbed rangeland communities. Such data are required if future soil sampling efforts within the Great Basin are to have a basis for comparison.     

What if We were Already in the In-Between? Further Ventures into the Ontologies of Science and Politics

What follows from the suggestion to pay attention to what is in-between science and politics? Karen François’s paper “In-between science and politics” follows Latour in arguing for the need for political theory to get out of the Platonic cave that it still inhabits. Political theory needs to be brought into the wild through empirical studies of how science and politics in fact intermix. And the Latourian proposition needs to be strengthened by focusing on the embodied knowledges that enable situated objectivities to emerge. Though worthwhile, these arguments are weakened by a superficial treatment of political theory and by a lack of attention to the difficulties involved in combining Latourian actor-network theory with the “strong objectivity” of standpoint theory. Most problematically the paper purports to define as an agenda (exploring the in-between of science and politics) what whole fields of inquiry have already been in full swing exploring for quite a while. The ‘turn to ontology’ in STS and social anthropology and the development of ‘empirical philosophy’ suggests what might be at stake in such explorations.     

Data Mining as an Enabler for Customer Data Driven Vehicle Development

对于汽车等面向消费者的行业,数据驱动的产品开发是一项关键的系统工程。数据驱动方法的前提是数据本身,由于现代车辆的联网能力不断提高,使得汽车制造商能够以内部总线信号的形式记录并储存客户数据。由于这些数据并不用于外部,只用于内部通信以保证车辆的安全性和功能性,这给这些数据的应用带来了一定的困难,因此汽车行业的主要问题在于如何利用数据挖掘技术从这些数据中提取客户需求及相关信息。为此,对上述数据应用问题进行了文献调研,并在此基础上开展数据挖掘的模拟研究,以确定现有数据挖掘过程在需求获取领域的适用性;进而提出一种扩展程序,使得数据挖掘技术能够应用于相关客户数据之中,从而加快车辆开发的进程。     

Praemia

Ohne Zusammenfassung     

Two-dimensional spectroscopy of electronic couplings in photosynthesis

Time-resolved optical spectroscopy is widely used to study vibrational and electronic dynamics by monitoring transient changes in excited state populations on a femtosecond timescale. Yet the fundamental cause of electronic and vibrational dynamics--the coupling between the different energy levels involved--is usually inferred only indirectly. Two-dimensional femtosecond infrared spectroscopy based on the heterodyne detection of three-pulse photon echoes has recently allowed the direct mapping of vibrational couplings, yielding transient structural information. Here we extend the approach to the visible range and directly measure electronic couplings in a molecular complex, the Fenna-Matthews-Olson photosynthetic light-harvesting protein. As in all photosynthetic systems, the conversion of light into chemical energy is driven by electronic couplings that ensure the efficient transport of energy from light-capturing antenna pigments to the reaction centre. We monitor this process as a function of time and frequency and show that excitation energy does not simply cascade stepwise down the energy ladder. We find instead distinct energy transport pathways that depend sensitively on the detailed spatial properties of the delocalized excited-state wavefunctions of the whole pigment-protein complex.     

Design principles of a bacterial signalling network

Cellular biochemical networks have to function in a noisy environment using imperfect components. In particular, networks involved in gene regulation or signal transduction allow only for small output tolerances, and the underlying network structures can be expected to have undergone evolution for inherent robustness against perturbations. Here we combine theoretical and experimental analyses to investigate an optimal design for the signalling network of bacterial chemotaxis, one of the most thoroughly studied signalling networks in biology. We experimentally determine the extent of intercellular variations in the expression levels of chemotaxis proteins and use computer simulations to quantify the robustness of several hypothetical chemotaxis pathway topologies to such gene expression noise. We demonstrate that among these topologies the experimentally established chemotaxis network of Escherichia coli has the smallest sufficiently robust network structure, allowing accurate chemotactic response for almost all individuals within a population. Our results suggest that this pathway has evolved to show an optimal chemotactic performance while minimizing the cost of resources associated with high levels of protein expression. Moreover, the underlying topological design principles compensating for intercellular variations seem to be highly conserved among bacterial chemosensory systems.