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Customer Evaluations of Service Recovery as a Function of Loyalty and Negative Emotion
Jaehoon Lee,William Zahn 전북대학교 산업경제연구소 2014 아태경상저널 Vol.6 No.2
Although service recovery has been identified as a key driver to retain customers, the effectiveness of service recovery remains unclear. Some studies reveal that good service recovery positively impact customers’ attitudes and behaviors. But others indicate that even excellent service recovery may not be enough to restore customers’ attitudes and behaviors to the original level. To explain the contradictory findings, we provide a conceptual understanding of how loyalty and emotion may influence the effectiveness of service recovery. Often characterized as trust and commitment, loyalty is based on customers’ long-held beliefs and attitudes, whereas emotion is characterized as a short-lasting, high intensity state that arises as a consequence of specific events or circumstances, indicating that the effectiveness of service recovery efforts may be differentially affected by loyalty and emotion.
Cystoscopic depth estimation using gated adversarial domain adaptation
Peter Somers,Simon Holdenried-Krafft,Johannes Zahn,Johannes Schüle,Carina Veil,Niklas Harland,Simon Walz,Arnulf Stenzl,Oliver Sawodny,Cristina Tarín,Hendrik P. A. Lensch 대한의용생체공학회 2023 Biomedical Engineering Letters (BMEL) Vol.13 No.2
Monocular depth estimation from camera images is very important for surrounding scene evaluation in many technical fieldsfrom automotive to medicine. However, traditional triangulation methods using stereo cameras or multiple views with theassumption of a rigid environment are not applicable for endoscopic domains. Particularly in cystoscopies it is not possibleto produce ground truth depth information to directly train machine learning algorithms for using a monocular image directlyfor depth prediction. This work considers first creating a synthetic cystoscopic environment for initial encoding of depthinformation from synthetically rendered images. Next, the task of predicting pixel-wise depth values for real images is constrainedto a domain adaption between the synthetic and real image domains. This adaptation is done through added gatedresidual blocks in order to simplify the network task and maintain training stability during adversarial training. Training isdone on an internally collected cystoscopy dataset from human patients. The results after training demonstrate the ability topredict reasonable depth estimations from actual cystoscopic videos and added stability from using gated residual blocks isshown to prevent mode collapse during adversarial training.
Ibrahim, Imad,Kalbacova, Jana,Engemaier, Vivienne,Pang, Jinbo,Rodriguez, Raul D.,Grimm, Daniel,Gemming, Thomas,Zahn, Dietrich R. T.,Schmidt, Oliver G.,Eckert, Jü,rgen,Rü,mmeli, Mark H. American Chemical Society 2015 Chemistry of materials Vol.27 No.17
<P>The search for ways to synthesize single wall carbon nanotubes (SWCNT) of a given electronic type in a controlled manner persists despite great challenges because the potential rewards are huge, in particular as a material beyond silicon. In this work we take a systematic look at three primary aspects of semiconducting enriched SWCNT grown by chemical vapor deposition. The role of catalyst choice, substrate, and feedstock mixture are investigated. In terms of semiconducting yield enhancement, little influence is found from either the binary catalyst or substrate choice. However, a very clear enrichment is found as one adds nominal amounts of methanol to an ethanol feedstock. Yields of up to 97% semiconducting SWCNT are obtained. These changes are attributed to two known etchant processes. In the first, metal SWCNT are preferentially etched. In the second, we reveal etchants also preferentially etch small diameter tubes because they are more reactive. The etchants are confirmed to have a dual role, to preferentially etch metallic tubes and narrow diameter tubes (both metallic and semiconducting) which results in a narrowing of the SWCNT diameter distribution.</P><P><B>Graphic Abstract</B> <IMG SRC='http://pubs.acs.org/appl/literatum/publisher/achs/journals/content/cmatex/2015/cmatex.2015.27.issue-17/acs.chemmater.5b02037/production/images/medium/cm-2015-02037h_0007.gif'></P><P><A href='http://pubs.acs.org/doi/suppl/10.1021/cm5b02037'>ACS Electronic Supporting Info</A></P>
Millea, M.,Doré,, O.,Dudley, J.,Holder, G.,Knox, L.,Shaw, L.,Song, Y.-S.,Zahn, O. IOP Publishing 2012 The Astrophysical journal Vol.746 No.1
<P>Using the latest physical modeling and constrained by the most recent data, we develop a phenomenological parameterized model of the contributions to intensity and polarization maps at millimeter wavelengths from external galaxies and Sunyaev-Zeldovich effects. We find such modeling to be necessary for estimation of cosmological parameters from Planck data. For example, ignoring the clustering of the infrared background would result in a bias in ns of 7s in the context of an eight-parameter cosmological model. We show that the simultaneous marginalization over a full foreground model can eliminate such biases, while increasing the statistical uncertainty in cosmological parameters by less than 20%. The small increases in uncertainty can be significantly reduced with the inclusion of higher-resolution ground-based data. The multi-frequency analysis we employ involves modeling 46 total power spectra and marginalization over 17 foreground parameters. We show that we can also reduce the data to a best estimate of the cosmic microwave background power spectra, with just two principal components (with constrained amplitudes) describing residual foreground contamination.</P>