40 research outputs found
Knowledge-based energy functions for computational studies of proteins
This chapter discusses theoretical framework and methods for developing
knowledge-based potential functions essential for protein structure prediction,
protein-protein interaction, and protein sequence design. We discuss in some
details about the Miyazawa-Jernigan contact statistical potential,
distance-dependent statistical potentials, as well as geometric statistical
potentials. We also describe a geometric model for developing both linear and
non-linear potential functions by optimization. Applications of knowledge-based
potential functions in protein-decoy discrimination, in protein-protein
interactions, and in protein design are then described. Several issues of
knowledge-based potential functions are finally discussed.Comment: 57 pages, 6 figures. To be published in a book by Springe
Anisotropy studies around the galactic centre at EeV energies with the Auger Observatory
Data from the Pierre Auger Observatory are analyzed to search for
anisotropies near the direction of the Galactic Centre at EeV energies. The
exposure of the surface array in this part of the sky is already significantly
larger than that of the fore-runner experiments. Our results do not support
previous findings of localized excesses in the AGASA and SUGAR data. We set an
upper bound on a point-like flux of cosmic rays arriving from the Galactic
Centre which excludes several scenarios predicting sources of EeV neutrons from
Sagittarius . Also the events detected simultaneously by the surface and
fluorescence detectors (the `hybrid' data set), which have better pointing
accuracy but are less numerous than those of the surface array alone, do not
show any significant localized excess from this direction.Comment: Matches published versio
The LHCb upgrade I
The LHCb upgrade represents a major change of the experiment. The detectors have been almost completely renewed to allow running at an instantaneous luminosity five times larger than that of the previous running periods. Readout of all detectors into an all-software trigger is central to the new design, facilitating the reconstruction of events at the maximum LHC interaction rate, and their selection in real time. The experiment's tracking system has been completely upgraded with a new pixel vertex detector, a silicon tracker upstream of the dipole magnet and three scintillating fibre tracking stations downstream of the magnet. The whole photon detection system of the RICH detectors has been renewed and the readout electronics of the calorimeter and muon systems have been fully overhauled. The first stage of the all-software trigger is implemented on a GPU farm. The output of the trigger provides a combination of totally reconstructed physics objects, such as tracks and vertices, ready for final analysis, and of entire events which need further offline reprocessing. This scheme required a complete revision of the computing model and rewriting of the experiment's software
Effects of volatile output prices on agricultural land-use change
Volatile output prices lead to a fluctuating shadow price (profitability) of agricultural land, and therefore may impact land use decisions in case of risk-averse behaviour. In this paper we assess the effect of volatile agricultural output prices on agricultural land-use change over the past decade in the Netherlands. Using regional data from 2000 through 2009, the number of hectares of land for 10 land uses was calculated. To determine the joint distribution of agricultural activities, hectares of land for each land use were converted to land share equations. Land share equations were estimated to determine the contribution of increased price volatility to land use change. Results show that larger volatility affects land shares negatively. Producer’s output responses, therefore, were consistently affected by risk-averse behaviour
Further Studies on the Influence of Dietary Calcium and Phosphorus on the Incidence of Milk Fever
Social mindfulness: prosocial the active way
Prosociality is a central topic in positive psychology. An important but under-studied distinction can be made between active and reactive expressions. We suggest that the novel construct of social mindfulness represents active rather than reactive prosociality. Across four studies (N = 2,594), including a multi-wave representative sample spanning six years, social mindfulness is found to correlate with personality traits associated with prosocial and/or antisocial behavior. We find positive associations with empathy, social value orientation, and general prosocial behavior, and negative associations with moral disengagement and narcissism. Importantly, social mindfulness emerges as an active rather than a reactive characteristic that is more strongly related to HEXACO honesty-humility (active cooperation) than to HEXACO agreeableness (reactive cooperation). The association between social mindfulness and honesty-humility was found across measures six years apart. Given the well-established link between prosociality and well-being, emphasizing social mindfulness may be a good start to promote the latter.Social decision makin