4,712 research outputs found
Synthesis and reaction kinetics for monodispersive Y2O3:Tb3+ spherical phosphor particles
No full textPraseodymium-Doped Photo-Luminescent Strontium Indate Nanoparticles by Ultrasonic Spray Pyrolysis
No full textThe contribution of symptoms of post-traumatic stress disorder (PTSD), health anxiety and intolerance of uncertainty to distress in Ménière's disease
No full textThis study assessed whether symptoms of post-traumatic stress disorder (PTSD), health anxiety, and intolerance of uncertainty were associated with distress in members of the Ménière's Society (n = 800), and compared the extent of anxiety, depression, intolerance of uncertainty and health anxiety with a healthy control group (n = 484). PTSD symptoms were associated with anxiety, depression, and handicap. Health anxiety was associated with anxiety and depression. Intolerance of uncertainty was directly associated with anxiety; its association with depression and handicap was mediated by PTSD symptoms. The Ménière's group reported more anxiety, depression, and health anxiety than the control group, but were not more intolerant of uncertainty. More than half of the Ménière's group reported experiencing partial or full PTSD symptoms. As PTSD, health anxiety and intolerance of uncertainty are modifiable with psychological treatment, we advise that clinicians should screen patients with Ménière's disease who are particularly distressed
From Canon Road, 900 ft. above river, S.E. to Upper Falls (109 ft. high), Yellowstone Park, U.S.A.
No full textFrom Canon Road, 900 ft. above river, S.E. to Upper Falls (109 ft. high), Yellowstone Park, U.S.A
MOHA: A Multi-Mode Hybrid Automaton Model for Learning Car-Following Behaviors
No full textThis paper proposes a novel hybrid model for learning discrete and continuous dynamics of car-following behaviors. Multiple modes representing driving patterns are identified by partitioning the model into groups of states. The model is visualizable and interpretable for car-following behavior recognition, traffic simulation, and human-like cruise control. The experimental results using the next generation simulation datasets demonstrate its superior fitting accuracy over conventional models.Accepted author manuscriptCyber Securit
Transferability of Privacy-related Behaviours to Shared Smart Home Assistant Devices
No full textSmart assistant devices (such as Amazon Echo or Google Home) have notable differences to more conventional consumer computing devices. They can be used through voice control as well as physical interaction, and are often positioned as a shared device within a home environment. We conduct an exploratory online survey with 97 UK-based users of smart assistant devices, to examine the differences users perceive between smart assistants and more familiar devices (such as smartphones and computers), in terms of shared use dynamics, privacy-related behaviours, and privacy concerns. The survey explores typical usage, setup practices, perceived ease of use and control, privacy concerns for multiple users, shared usage of existing devices, and smart assistant privacy control usage. Approximately half of participants were unsure of where to access privacy settings on their smart home assistants; basic device controls and informal privacy controls saw general use. Those who had used privacy controls with previous devices used at least one smart assistant privacy control. Results have implications for supporting transferable privacy behaviours from computing devices to smart home devices, and improving privacy-related design for smart assistants.Accepted Author ManuscriptOrganisation & Governanc
Intelligent control systems: Learning, interpreting, verification
No full textAutomatic control is a technique about designing control devices for controlling ma- chinery processes without human intervention. However, devising controllers using conventional control theory requires first principle design on the basis of the full under- standing of the environment and the plant, which is infeasible for complex control tasks such as driving in highly uncertain traffic environment. Intelligent control offers new op- portunities about deriving the control policy of human beings by mimicking our control behaviors from demonstrations. In this thesis, we focus on intelligent control techniques from two aspects: (1) how to learn control policy from supervisors with the available demonstration data; (2) how to verify the controller learned from data will safely control the process
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