Challanges of the TanDEM-X Commissioning Phase

The paper describes the execution of the TanDEM-X commissioning phase. It provides the challanges and constraints of the different tasks and their impact on each other during the commissioning phase. In addition, the paper gives information about the tasks to be performed

Fission Decay Rates Determined from a Quantal Transport Equation

The decay of a metastable system is described by extending Kramers' method to the quantal regime. For temperatures above twice the crossover value we recover the result known from applying Euclidean path integrals to solvable models. Our derivation is not restricted to a linearly coupled heat bath of oscillators, and thus applicable to nuclear systems.Comment: 10 pages, Plain Tex, TU-Muenchen preprin

Attachment style moderates the effects of oxytocin on social behaviors and cognitions during social rejection: applying an RDoC framework to social anxiety

Whereas the DSM categorizes individuals with similar self-reported symptoms, the Research Domain Criteria (RDoC) offers a new approach for classifying mental disorders based on dimensions of observable behaviors and neurobiological measures. The objective of this proof-of-concept study is to adopt this approach by distinguishing individuals based on disorder-related personality traits during an experimental manipulation that targeted a disorder-related biological mechanism. Specifically, we examined whether attachment style moderated the effect of oxytocin administration on social behaviors and cognitions during a social exclusion test in individuals with social anxiety disorder. When receiving oxytocin compared to placebo, only individuals with low attachment avoidance displayed more social affiliation and cooperation, and only those with high attachment avoidance showed faster detection of disgust and neutral faces. Thus, attachment style moderated oxytocin's effects among individuals who shared the same DSM diagnosis. We conclude that neurobiological tests can inform new classification strategies by adopting an RDoC framework.R01 AT007257 - NCCIH NIH HHS; R01 MH078308 - NIMH NIH HH

A Stopped delta-matter source in heavy ion collisions at 10-GeV/N?

We predict the formation of highly dense baryon-rich resonance matter in Au+Au collisions at AGS energies. The final pion yields show observable signs for resonance matter. The Delta1232 resonance is predicted to be the dominant source for pions of small transverse momenta. Rescattering e ects consecutive excitation and deexcitation of Delta's lead to a long apparent life- time (> 10 fm/c) and rather large volumina (several 100 fm3) of the Delta-matter state. Heavier baryon resonances prove to be crucial for reaction dynamics and particle production at AGS

Lipid and Fatty Acid Composition of the Marine Brown Alga Dictyopteris membranacea

Glycerolipids and fatty acids of D. membranacea (Dic-tyotales) were analysed. The betaine lipid DGTA and the glycolipids MGOG, DGDG and SQDG were major components. The phospholipids PE, PG, PI and PHEG were present in minor amounts only. This lipid pattern, which is characterised by the presence of DGTA and the absence of PC, has been found exclusively in brown algae belonging to the orders Dictyotales, Durvillaeales and Fucales. Major fatty acids were 16:0, 18:1, 18:2, α18:3, 18:4 and 20:4 acids. MGDG was the most unsaturated lipid with high levels of 18:4 acid. SQDG showed the highest degree of saturation containing a considerable proportion of 16:0 acid. DGTA contained 14 : 0,18:1,18:2 and 20:4 as major fatty acids. Among phospholipids, PE and PHEG had a very similar pattern which was enriched in 20:4 acid. Analysis of the positional distribution of fatty acids revealed that DGTA and MGDG were almost exclusivly of the "euka-ryotic” type, whereas SQDG was predominantly of the "prokaryotic” type. For the first time, molecular species of selected lipids have been analysed in a brown alga. In DGTA, 14:0/18:1, 14:0/18:2 and 14:0/20:4 were the main molecular species. In MGDG the highly unsaturated erl8:3/18:4, 18:4/18:4 and 18:4/20:5 were predominan

Radiolabelling Studies on the Lipid Metabolism in the Marine Brown Alga Dictyopteris membranacea

The lipid metabolism of the marine brown alga D. membranacea was investigated using [2−14C]acetate, [1−14C]myristate, [l−I4C]oleate and [l−14C]arachidonate as precursors. On incubation with [2−14C]acetate, 18:1 and 16:0 were the main products formed by de novo synthesis and incorporated into polar lipids. With all the exogenous substrates used, DGTA was strongly labelled and the subsequent rapid turnover of radioactivity suggested a key role for this lipid in the redistribution of acyl chains and most likely also in the biosynthesis of the eukaryotic galacto-lipids produced in the absence of PC. In the glycolipids a continuous accumulation of radioactivity was observed with all the substrates used. The labelling kinetics of molecular species of MGDG suggested the desaturation of 18:1 to 18:4 and of 20:4 (n-6) to 20:5 (n−3) acids on this lipid. Both PG and PE were primary acceptors of de novo synthesized fatty acids and exogenous [l−14C]oleate, but no evidence exists for a further processing of acyl chains on these lipids. TAG, although strongly labelled with all exogenous [l−14CJacids, was not labelled when [2−14C]acetate was used as a precursor indicating the flux of endogenous fatty acids to be different of that of exogenously supplied fatty acid

An Enhanced Data Mining Life Cycle

Data mining projects are complex and can have a high failure rate. In order to improve project management and success rates of such projects a life cycle is vital to the overall success of the project. This paper reports on a research project that was concerned with the life cycle development for data mining projects, its team members and their role. The paper provides a detailed view of the design and development of the data mining life cycle called DMLC. The life cycle aims to support all members of data mining project teams as well as IT managers and academic researchers and may improve project success rates and strategic decision support. An extensive analysis of eight life cycles leads to a list of advantages, disadvantages, and characteristics of the life cycles. This is extended and generates a conglomerate of several guidelines which serve as the foundation for the development of a new generic data mining

Development of an Enhanced Generic Data Mining Life Cycle (DMLC)

Data mining projects are complex and have a high failure rate. In order to improve project management and success rates of such projects a life cycle is vital to the overall success of the project. This paper reports on a research project that was concerned with the life cycle development for large scale data mining projects. The paper provides a detailed view of the design and development of a generic data mining life cycle called DMLC. The life cycle aims to support all members of data mining project teams as well as IT managers and academic researchers and may improve project success rates and strategic decision support. An extensive analysis of eight existing life cycles leads to a list of advantages, disadvantages, and characteristics of the life cycles. This is extended and generates a conglomerate of several guidelines which serve as the foundation for the development of a new generic data mining life cycle. The new life cycle is further developed to incorporate process, people and data aspects. A detailed study of the human resources involved in a data mining project enhances the DMLC

An Enhanced Data Mining Life Cycle

Data mining projects are complex and can have a high failure rate. In order to improve project management and success rates of such projects a life cycle is vital to the overall success of the project. This paper reports on a research project that was concerned with the life cycle development for data mining projects, its team members and their role. The paper provides a detailed view of the design and development of the data mining life cycle called DMLC. The life cycle aims to support all members of data mining project teams as well as IT managers and academic researchers and may improve project success rates and strategic decision support. An extensive analysis of eight life cycles leads to a list of advantages, disadvantages, and characteristics of the life cycles. This is extended and generates a conglomerate of several guidelines which serve as the foundation for the development of a new generic data mining life cycle. A detailed study of the human resources involved in a data mining project enhances the DMLC