• CT aortography at 80 kVp allows a significant reduction in radiation dose. • Addition of iterative reconstruction reduces image noise and improves image quality. • The injected contrast medium dose can be substantially reduced at 80 kVp. • Aortic enhancement is uniform despite a reduced volume of contrast medium.

Purpose This study aims to examine how a manager’s learning goal orientation (LGO) influences frontline service employees’ (FSEs’) engagement in cross-selling activities. Such engagements must exist before they can achieve service–sales ambidexterity. Drawing on achievement goal theory and the meaning-making perspective, this study predicts that learning-oriented managers encourage and foster FSEs’ cross-selling behaviors by facilitating their ability to derive positive meaning from the cross-selling initiative. They do so by conveying high-quality information about the initiative and related changes to individual employees, as well as by encouraging the formation of a collective perception of open communications within the work unit. Design/methodology/approach Hierarchical (nested) data from 39 managers and 357 FSEs of a major logistic service company are used to test the hypotheses. Findings As predicted, a manager’s LGO relates positively to FSEs’ cross-selling activities, through sequential mediations of the hypothesized communication mechanisms and employees’ benefits-finding. Originality/value A manager’s LGO is an important antecedent of FSEs’ cross-selling behaviors. This study establishes this influence and clarifies the processes by which it occurs. This study also extends previous research by specifying the important role of employees’ meaning-making, which prompts them to adopt cross-selling, as a mediator of the multilevel communication influences that result from their managers’ LGO.

Candida albicans is a commensal fungus of humans but can cause infections, particularly in immunocompromised individuals, ranging from superficial to life-threatening systemic infections. The cell wall is the outermost layer of C. albicans that interacts with the host environment. Moreover, antimicrobial peptides (AMPs) are important components in innate immunity and play crucial roles in host defense. Our previous studies showed that the human AMP LL-37 binds to the cell wall of C. albicans, alters the cell wall integrity (CWI) and affects cell adhesion of this pathogen. In this study, we aimed to further investigate the molecular mechanisms underlying the C. albicans response to LL-37. We found that LL-37 causes cell wall stress, activates unfolded protein response (UPR) signaling related to the endoplasmic reticulum (ER), induces ER-derived reactive oxygen species and affects protein secretion. Interestingly, the deletion of the SFP1 gene encoding a transcription factor reduced C. albicans susceptibility to LL-37, which is cell wall-associated. Moreover, in the presence of LL-37, deletion of SFP1 attenuated the UPR pathway, upregulated oxidative stress responsive (OSR) genes and affected bovine serum albumin (BSA) degradation by secreted proteases. Therefore, these findings suggested that Sfp1 positively regulates cell wall integrity and ER homeostasis upon treatment with LL-37 and shed light on pathogen-host interactions.

Image inpainting technique is that repairs damaged area or remove areas in an image. In order to deal with this kind of problems, not only a robust image inpainting algorithm should be used, technique of structure generation is also needs to adopt in inpainting procedure. In this paper, we extend an exemplar-based image inpainting method by incorporating Bézier curves to construct missing edge information. Before we apply our inpainting procedure to a damaged image, mean shift segmentation is used to extract contours of each region. After the structure information of an image is determined, destroyed contours will be connected in curve fitting process and damaged regions will be inpainted by using exemplar-based inpainting method. The experimental results show that our proposed method could deal with several kinds of pictures well.

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