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We ask whether the quality of internal information matters for investment decisions. We predict that investment is more sensitive to internal profit signals and less sensitive to external price signals when managers have higher‐quality internal information. Consistent with recent theoretical and empirical research, we proxy for internal information quality using observable information properties. We find that the sensitivity of investment to profitability is increasing, while the sensitivity of investment to market‐to‐book is decreasing in internal information quality. Our focus on internal information and decision making offers new and unique insights on the importance of information quality and complements the growing literature on the role of external reporting quality in reducing financing frictions.

<p class="1">Sitting is a common behavior of human body in daily life. It is found that poor sitting postures can link to pains and other complications for people in literature. In order to avoid the adverse effects of poor sitting behavior, we have developed a highly practical design of smart chair system in this paper, which is able to monitor the sitting behavior of human body accurately and non-invasively. The pressure patterns of eight standardized sitting postures of human subjects were acquired and transmitted to the computer for the automatic sitting posture recognition with the application of artificial neural network classifier. The experimental results showed that it can recognize eight sitting postures of human subjects with high accuracy. The sitting posture monitoring in the developed smart chair system can help or promote people to achieve and maintain healthy sitting behavior, and prevent or reduce the chronic disease caused by poor sitting behavior. These promising results suggested that the presented system is feasible for sitting behavior monitoring, which can find applications in many areas including healthcare services, human-computer interactions and intelligent environment.</p>

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These findings indicate the effects of standing and sitting postures on the spinal joint loads. The results can provide doctors and therapists with more information on clinical advice on better postures for people with spinal problems.