Contextual intelligence behaviors of female hospital managers in the United States

Healthcare is a dynamic and challenging work environment with high levels of ambiguity and volatility. Leadership behaviors and models are needed that present a new framework for leadership behaviors in this type of environment. Contextual intelligence (CI) has been suggested as a useful and viable solution to leading in turbulent environments. This investigation explored the frequency of CI behaviors of female healthcare managers from 13 different hospitals. 474 females healthcare managers’ demographic data, including Myers–Briggs Type Indicator confirmed personality preference, were administered the Contextual Intelligence Profile (CIP), which rates the frequency 12 CI behaviors are demonstrated (0 = never to 6 = always). Internal consistency of the CIP was α = .92 and Exploratory Factor Analysis organized the behaviors into three factors (Hindsight, Insight, and Foresight). Three CI behaviors are practiced with very high frequency. Female healthcare managers with a preference for Extroversion (E) demonstrated eight CI behaviors (67%) more often than their counterparts with a preference for Introversion (I); and those with a preference for Intuition (N) demonstrated seven CI behaviors (58%) more often than their counterparts with a preference for Sensing (S). Our findings indicate that female healthcare managers practice CI with some frequency; and certain personality preferences (E/N), education level, and minority status may contribute to greater practice frequency of CI behaviors. However, certain behaviors, primarily those from Insight, were practiced with much lower frequency. Therefore, leadership development programing might want to consider including CI behaviors to enhance overall CI for leaders and managers in turbulent environments

Eckhaus Instability in Laser Cavities with Harmonically Swept Filters

This work was supported in part by National Key R&D Program of China (2019YFB1803904), in part by Science, Technology and Innovation Commission of Shenzhen Municipality (SGDX2019081623060558), in part by Research Grants Council, University Grants Committee of Hong Kong SAR (PolyU152241/18E), and in part by Guangdong Basic and Applied Basic Research Foundation (2021A1515012544) (Corresponding author: Dongmei Huang).Peer reviewedPostprin

Proceedings of the Joint Ontology Workshops co-located with the Bolzano Summer of Knowledge (BOSK 2020)

B

Design study of Software-Implemented Fault-Tolerance (SIFT) computer

Software-implemented fault tolerant (SIFT) computer design for commercial aviation is reported. A SIFT design concept is addressed. Alternate strategies for physical implementation are considered. Hardware and software design correctness is addressed. System modeling and effectiveness evaluation are considered from a fault-tolerant point of view

Impact of Spectral Filtering on Multi-pulsing Instability in Mode-locked Fiber Lasers

This work was supported in part by the National Natural Science Foundation of China under Grant 61475131, in part by the Research Grant Council of the Hong Kong SAR (PolyU152144/15E), in part by the Shenzhen Science and Technology Innovation Commission (JCYJ20160331141313917), and in part by the Hong Kong Polytechnic University (1-ZVGB). (Xianting Zhang and Feng Li contributed equally to this paper).Peer reviewedPostprin