Phosphate Availability During Sediment Resuspension Events in the Great Bay Estuary

Phosphate is an important nutrient to marine ecosystems such as the Great Bay Estuary. However, its bioavailability is limited due to its tendency to adsorb to marine sediments, especially iron oxides. This paper investigates phosphate dynamics during a simulated storm compared to calm conditions and aims to quantify the mechanisms of phosphate adsorption

An FPTAS for Quickest Multicommodity Flows with Inflow-Dependent Transit Times

Given a network with capacities and transit times on the arcs, the quickest flow problem asks for a "flow over time" that satisfies given demands within minimal time. In the setting of flows over time, flow on arcs may vary over time and the transit time of an arc is the time it takes for flow to travel through this arc. In most real-world applications (such as, e.g., road traffic, communication networks, production systems, etc.), transit times are not fixed but depend on the current flow situation in the network. We consider the model where the transit time of an arc is given as a non-decreasing function of the rate of inflow into the arc. We prove that the quickest s-t-flow problem is NP-hard in this setting and give various approximation results, including a fully polynomial time approximation scheme (FPTAS) for the quickest multicommodity flow problem with bounded cos

Echoes in motion: An acoustic camera (DIDSON) as a monitoring tool in applied freshwater ecology

Aquatic environments are increasingly faced with anthropogenic impact. Rivers have been fully developed into navigable waterways resulting in a dramatic loss of habitats and longitudinal and horizontal disconnection. Human sewage polluted rivers and in addition with overfishing and a rising recreational use, most European diadromous fish species have suffered and can be graded as vulnerable. Species-conservation and re-stocking projects support to save diverse fish communities. Capable monitoring- and assessment tools are urgent, given that knowledge is the key for sustainable management. The DIDSON, a multibeam sonar, delivers video-like live images in high resolution, enabling the measurement of fish length and behavioral observations even in turbid water and by night in a non-invasive manner. It could be shown that a special application of the sonar offers potential to discriminate fish species based on their characteristic acoustic shadows. Beside the possibility to count and measure fish and to observe their behavior this provides additional valuable information in certain monitoring applications. New insights in the spawning behavior of Alosa Alosa could be revealed on a spawning site in the Garonne River, France. It could be observed that spawning events are not restricted to one couple since additional individuals join. Drifting clouds of sexual products and micro bubbles could be detected with the sonar and were consistent with the number of sound based spawning measurements (by human hearing) and thus served as an indicator for spawning activity. A mid- term application of the sonar in front of a trash rack of a hydro power plant demonstrated the potential to gain knowledge in the field of spatial ecology of fish with high temporal resolution. An hourly fish abundance raster was chosen as a measure of fish activity to intuitively illustrate alternating diel and seasonal activity patterns at a glance. Distinct patterns and migration peaks of three groups ‘fish’, ‘eels’ and ‘shoals’ could be identified. The size class potentially at risk to pass the trash rack, was faced the power production data to identify time windows of higher and lower risk of entrainment and respective fish protection requirements

2-Aminobenzoyl-CoA Monooxygenase/Reductase

Peer Reviewedhttp://deepblue.lib.umich.edu/bitstream/2027.42/65410/1/j.1432-1033.1995.0676h.x.pd

Kick-starting Green Business Process Management – Suitable Modeling Languages and Key Processes for Green Perfomance Mesaurement

In this paper we examine an initial step towards Green Business Process Management. We give insights from a research project with the goal of monitoring and redesigning business processes in an environmentally sustainable manner. Using literature analysis and three case studies we derive suitable languages and software for business process modeling. In addition, we show business processes that can act as key examples for green process monitoring and redesign. The results show that enterprises can build up on process modeling and energy monitoring to become more environmentally sustainable

Fiction, Self-Knowledge and Knowledge of the Self

The claim that literary fiction is a valuable source of knowledge can be confronted with the following skeptical objection: on a standard account of the conditions for both the possession and transmission of knowledge, fiction cannot be considered a source of knowledge, for we are not justified in believing any claims from fiction. Our paper argues that the skeptic is wrong. We will start by introducing the notion of self-knowledge, the knowledge a person has of their own conscious attitudes, and distinguish it from knowledge of the self. Both kinds of knowledge concern a person’s beliefs about herself, but they differ in their precise scope and justificatory conditions. We will then argue that the self-knowledge one easily gains by reading fiction is an important route to knowledge of the self, which in turn is hard to obtain, and that a case can be made for literary fiction being an especially valuable source of knowledge of the self

A Precision Measurement of pp Elastic Scattering Cross Sections at Intermediate Energies

We have measured differential cross sections for \pp elastic scattering with internal fiber targets in the recirculating beam of the proton synchrotron COSY. Measurements were made continuously during acceleration for projectile kinetic energies between 0.23 and 2.59 GeV in the angular range $30 \leq \theta_{c.m.} \leq 90$ deg. Details of the apparatus and the data analysis are given and the resulting excitation functions and angular distributions presented. The precision of each data point is typically better than 4%, and a relative normalization uncertainty of only 2.5% within an excitation function has been reached. The impact on phase shift analysis as well as upper bounds on possible resonant contributions in lower partial waves are discussed.Comment: 23 pages 29 figure