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Although findings reported in an increasing number of studies shed light on the relationship between optimism and entrepreneurial outcomes, little is known of the mechanisms by which entrepreneurial optimism influences new venture performance. Researchers have found that people who are highly optimistic build more extensive social networks than others do, which can influence the outcome of their efforts. In order to explore the relationships among entrepreneurial optimism, social networks, and new venture performance, we analyzed data obtained from 142 Chinese entrepreneurs. Results indicated that entrepreneurial optimism had a significant impact on social network size, social network heterogeneity, and new venture performance. Social network size fully mediated the relationship between entrepreneurial optimism and new venture performance, but social network heterogeneity did not have a mediating role. These findings support the application of a social network perspective to gain a better understanding of the mechanism by which entrepreneurial optimism influences new venture performance.

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Visually impaired people often find it hard to navigate efficiently in complex environments. Moreover, helping them to navigate intuitively is not a trivial task. In sighted people, cognitive maps derived from visual cues play a pivotal role in navigation. In this paper, we present a sight-to-sound human-machine interface (STS-HMI), a novel machine vision guidance system that enables visually impaired people to navigate with instantaneous and intuitive responses. The proposed STS-HMI system extracts visual context from scenes and converts them into binaural acoustic cues for users to establish cognitive maps. A series of experiments were conducted to evaluate the performance of the STS-HMI system in a complex environment with difficult navigation paths. The experimental results confirm that the STS-HMI system improves visually impaired people's mobility with minimal effort. INDEX TERMS Acoustic cues, human-machine interface, navigation, visually impaired.

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Embedded systems are increasingly becoming a key technological component of all kinds of complex technical systems, ranging from vehicles, telephones, audio-video equipment, aircraft, toys, security systems, medical diagnostics, to weapons, pacemakers, climate control systems, manufacturing systems, intelligent power systems etc. IJES addresses the state of the art of all aspects of embedded computing systems with emphasis on algorithms, systems, models, compilers, architectures, tools, design methodologies, test and applications.

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