In this meta-research study, Martin Holst and colleagues investigate changes to prespecified primary outcomes in the historic registries of clinical trials.
ReBid s Rajiv Dhingra on how Programmatic has become dynamic and interactive adgully.com - get the latest breaking news, showbiz & celebrity photos, sport news & rumours, viral videos and top stories from adgully.com Daily Mail and Mail on Sunday newspapers.
With films by Julieta Aranda and Anton Vidokle, Kajsa Dahlberg, Hicham Gardaf, and Mona Vatamanu and Florin Tudor. Part One of Clocking Out: Time Beyond Management. Curated by KJ Abudu, Zachary B. Feldman, Emily Small, and Johanna Thorell, the 2022-23 Helena Rubinstein Curatorial Fellows of the Whitney Independent Study Program.
Author summary The movement of groups can be heavily influenced by ‘leader’ individuals who differ from the others in some way. A major source of differences between individuals is the repeatability and consistency of their behaviour, commonly considered as their ’personality’, which can influence both their position within a group as well as their tendency to lead. However, links between personality and behaviour may also depend upon the immediate social environment of the individual; individuals who behave consistently in one way when alone may not express the same behaviour socially, when they may be conforming with the behaviour of others. Experimental evidence shows that personality differences can be eroded in social situations, but there is currently a lack of theory to identify the conditions where we would expect personality to be suppressed. Here, we develop a simple model of a small group of individuals who differ in their tendency to perform risky be
The extensive deployment of wireless infrastructure provides alternative low-cost methods for location awareness of mobile phone users in indoor environments by processing the received signal strength (RSS) of the mobile phone. In such a signal processing framework, hidden Markov models (HMMs) are often used to model the uncertainties of RSS data and incorporate environmental information into localization. Since hidden semi-Markov models (HsMMs) outperform HMMs in their ability to model state duration more flexibly, employing HsMMs for indoor user positioning is a promising research direction. In this aspect, a user’s personal preference of staying in a particular area, and the functionality of certain areas, such as a dining room, as well as navigation landmarks, can be utilized in the HsMM to assist localization. This paper proposes an online HsMM forward recursion algorithm to incorporate these information for real-time smartphone user tracking. We apply the proposed HsMM forward