897 research outputs found
Ordinary Search Engine Users Carrying Out Complex Search Tasks
Web search engines have become the dominant tools for finding information on
the Internet. Due to their popularity, users apply them to a wide range of
search needs, from simple look-ups to rather complex information tasks. This
paper presents the results of a study to investigate the characteristics of
these complex information needs in the context of Web search engines. The aim
of the study is to find out more about (1) what makes complex search tasks
distinct from simple tasks and if it is possible to find simple measures for
describing their complexity, (2) if search success for a task can be predicted
by means of unique measures, and (3) if successful searchers show a different
behavior than unsuccessful ones. The study includes 60 people who carried out a
set of 12 search tasks with current commercial search engines. Their behavior
was logged with the Search-Logger tool. The results confirm that complex tasks
show significantly different characteristics than simple tasks. Yet it seems to
be difficult to distinguish successful from unsuccessful search behaviors. Good
searchers can be differentiated from bad searchers by means of measurable
parameters. The implications of these findings for search engine vendors are
discussed.Comment: 60 page
Maximizing the information gain of a single ion microscope using bayes experimental design
We show nanoscopic transmission microscopy, using a deterministic single
particle source and compare the resulting images in terms of signal-to-noise
ratio, with those of conventional Poissonian sources. Our source is realized by
deterministic extraction of laser-cooled calcium ions from a Paul trap. Gating
by the extraction event allows for the suppression of detector dark counts by
six orders of magnitude. Using the Bayes experimental design method, the
deterministic characteristics of this source are harnessed to maximize
information gain, when imaging structures with a parametrizable transmission
function. We demonstrate such optimized imaging by determining parameter values
of one and two dimensional transmissive structures.Comment: 8 pages, 7 figures, From SPIE Conference Volume 9900, Quantum Optics,
J\"urgen Stuhler; Andrew J. Shields; Brussels, Belgium, April 03, 201
Reactive oxygen and nitrogen species in sepsis-induced hepatic microvascular dysfunction
OBJECTIVE AND DESIGN: Hepatic microvascular dysfunction is a critical event in the development of liver failure during sepsis. Activated blood cells and reactive oxygen and nitrogen species (RONS) have been implicated in the pathogenesis of sepsis. METHODS: Intravital-videomicroscopy was used to determine whether RONS contribute to the recruitment of leukocytes/platelets in the hepatic microvasculature during sepsis. Six hours following cecal-ligation and puncture (CLP), disturbances of the hepatic microvasculature were assessed in WT-mice (C57Bl/6 J; n = 8), in mice lacking gp91(phox)(n = 5), overexpressing superoxide-dismutase (SOD, n = 8), in WT-mice treated with a NOS-inhibitor (l-NAME, n = 5), lacking nNOS, eNOS or iNOS (n = 5 each), treated with the NO-donor DetaNO (n = 5), in WT-mice treated with gadolinium-chloride (GdCl(2), n = 5) and compared to a group of WT-mice following a sham operation (n = 8). Six hours post-CLP, the adhesion of leukocytes and platelets in terminal hepatic venules (THV) and sinusoids was quantified. RESULTS: In WT-mice, CLP elicited increases in the number of adherent leukocytes and platelets. Similar responses to CLP were noted in mice overexpressing SOD or lacking either eNOS or gp91(phox). The blood-cell recruitment was significantly blunted in septic iNOS-knockout mice and this response was reversed by pre-treatment with DetaNO. CONCLUSION: These findings suggest that iNOS-derived NO is a determinant of the pro-inflammatory phenotype assumed by the hepatic microvasculature during sepsis
Focusing a deterministic single-ion beam
We focus down an ion beam consisting of single 40Ca+ ions to a spot size of a
few mum using an einzel-lens. Starting from a segmented linear Paul trap, we
have implemented a procedure which allows us to deterministically load a
predetermined number of ions by using the potential shaping capabilities of our
segmented ion trap. For single-ion loading, an efficiency of 96.7(7)% has been
achieved. These ions are then deterministically extracted out of the trap and
focused down to a 1sigma-spot radius of (4.6 \pm 1.3)mum at a distance of 257mm
from the trap center. Compared to former measurements without ion optics, the
einzel-lens is focusing down the single-ion beam by a factor of 12. Due to the
small beam divergence and narrow velocity distribution of our ion source,
chromatic and spherical aberration at the einzel-lens is vastly reduced,
presenting a promising starting point for focusing single ions on their way to
a substrate.Comment: 16 pages, 7 figure
Single-Ion Heat Engine at Maximum Power
We propose an experimental scheme to realize a nanoheat engine with a single
ion. An Otto cycle may be implemented by confining the ion in a linear Paul
trap with tapered geometry and coupling it to engineered laser reservoirs. The
quantum efficiency at maximum power is analytically determined in various
regimes. Moreover, Monte Carlo simulations of the engine are performed that
demonstrate its feasibility and its ability to operate at a maximum efficiency
of 30% under realistic conditions
Gene expression of PMP22 is an independent prognostic factor for disease-free and overall survival in breast cancer patients
Abstract Background Gene expression of peripheral myelin protein 22 (PMP22) and the epithelial membrane proteins (EMPs) was found to be differentially expressed in invasive and non-invasive breast cell lines in a previous study. We want to evaluate the prognostic impact of the expression of these genes on breast cancer. Methods In a retrospective multicenter study, gene expression of PMP22 and the EMPs was measured in 249 primary breast tumors by real-time PCR. Results were statistically analyzed together with clinical data. Results In univariable Cox regression analyses PMP22 and the EMPs were not associated with disease-free survival or tumor-related mortality. However, multivariable Cox regression revealed that patients with higher than median PMP22 gene expression have a 3.47 times higher risk to die of cancer compared to patients with equal values on clinical covariables but lower PMP22 expression. They also have a 1.77 times higher risk to relapse than those with lower PMP22 expression. The proportion of explained variation in overall survival due to PMP22 gene expression was 6.5% and thus PMP22 contributes equally to prognosis of overall survival as nodal status and estrogen receptor status. Cross validation demonstrates that 5-years survival rates can be refined by incorporating PMP22 into the prediction model. Conclusions PMP22 gene expression is a novel independent prognostic factor for disease-free survival and overall survival for breast cancer patients. Including it into a model with established prognostic factors will increase the accuracy of prognosis.</p
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