Abstract: A computer implemented method includes receiving a start date and an end date specifying a future absence or away-from-work time period for a user, generating an away from office communication specifying the away-from-work time period, retrieving via the computer a list of collaborators based on frequency and duration of recent interactions with the user, receiving via the computer a selection of collaborators from the list, identifying meetings involving the user during the away-from-work time period, generating via the computer a list of user viewable items for the user to complete prior to the away-from-work time period, and generating via the computer a list of items for the user to attend to upon return from the away-from-work time period for presentation to the user upon return.

Abstract: The invention discloses a lighting device (1) and a luminaire (3) comprising one or more lighting devices (1) mounted into a pole (2). The lighting device (1) comprises an optical module. The optical module directs the light from a light source (10) into two parts of light (L1, L2), wherein the first part of light (L1) and the second part of light (L2) are different in luminance intensity distribution. In particular, the optical module comprises a first optical element (20) directing light from a light source (10) into the first part of light (L1), and a second optical element (30) directing the light from the light source (10) into the second part of light (L2).

Abstract: The present invention provides a system and method for determining whether two or more parameters influence one another within a communications network by obtaining a set of measurements for two or more parameters. A correlation and a partial correlation between each of the parameters are then determined. A determination is then made as to whether the correlations and the partial correlations are statistically significant. Thereafter, a determination is made as to whether the two or more parameters, if any, influence one another based on the statistically significant correlations and partial correlations.