3,143 research outputs found
The fate of failed renal homografts retained after retransplantation
The fate of nonfunctioning or poorly functioning renal homografts which were left in situ at retransplantation was studied in 28 patients. In one recipient, lethal septicemia developed secondary to necrosis as well as infection of a retained intraabdominal graft. In three other patients, subsequent symptoms developed from retained extraperitoneal pelvic grafts, and these kidneys were removed without complication. It is suggested that grafts placed extraperitoneally can be left in place if retransplantation becomes necessary, provided that there is careful follow up study for signs of necrosis or infection. Removal of the kidney graft then may be performed electively at a later time, or this may never become necessary in a significant number of patients
Security Issues in a SOA-based Provenance System
Recent work has begun exploring the characterization and utilization of provenance in systems based on the Service Oriented Architecture (such as Web Services and Grid based environments). One of the salient issues related to provenance use within any given system is its security. Provenance presents some unique security requirements of its own, which are additionally dependent on the architectural and environmental context that a provenance system operates in. We discuss the security considerations pertaining to a Service Oriented Architecture based provenance system. Concurrently, we outline possible approaches to address them
Sensing electric and magnetic fields with Bose-Einstein Condensates
We discuss the application of Bose-Einstein condensates (BECs) as sensors for
magnetic and electric fields. In an experimental demonstration we have brought
one-dimensional BECs close to micro-fabricated wires on an atom chip and
thereby reached a sensitivity to potential variations of ~10e-14eV at 3 micron
spatial resolution. We demonstrate the versatility of this sensor by measuring
a two-dimensional magnetic field map 10 micron above a 100-micron-wide wire. We
show how the transverse current-density component inside the wire can be
reconstructed from such maps. The field sensitivity in dependence on the
spatial resolution is discussed and further improvements utilizing Feshbach
resonances are outlined.Comment: 4 pages, 3 figure
Atom Chips: Fabrication and Thermal Properties
Neutral atoms can be trapped and manipulated with surface mounted microscopic
current carrying and charged structures. We present a lithographic fabrication
process for such atom chips based on evaporated metal films. The size limit of
this process is below 1m. At room temperature, thin wires can carry more
than 10A/cm current density and voltages of more than 500V. Extensive
test measurements for different substrates and metal thicknesses (up to 5
m) are compared to models for the heating characteristics of the
microscopic wires. Among the materials tested, we find that Si is the best
suited substrate for atom chips
Improving Graph-to-Text Generation Using Cycle Training
Natural Language Generation (NLG) from graph structured data is an important step for a number of tasks, including e.g. generating explanations, automated reporting, and conversational interfaces. Large generative language models are currently the state of the art for open ended NLG for graph data. However, these models can produce erroneous text (termed hallucinations). In this paper, we investigate the application of {\em cycle training} in order to reduce these errors. Cycle training involves alternating the generation of text from an input graph with the extraction of a knowledge graph where the model should ensure consistency between the extracted graph and the input graph. Our results show that cycle training improves performance on evaluation metrics (e.g., METEOR, DAE) that consider syntactic and semantic relations, and more in generally, that cycle training is useful to reduce erroneous output when generating text from graphs
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