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1 Aug 2017: People accept most notications that are delivered while they are doing exerciseand routine tasks. ... Also, people are more aentive to noticationsat places that are characterized as “productive”.

9 Aug 2018: Another thing I thought of is to maybe let people knowthat these estimates are for the Taxi day rate (rate 1) andfor Uber without a surge price in effect.

1 Jul 2013: For example,since people may split the majority of their time betweenhome and work, sampling randomly is likely to fail captur-ing participants in new locations. ... Merging ESM and smartphone sens-ing gives researches an unprecedented opportunity to

29 Feb 2008: Thus, we have developed a new modelwith a form of hierarchical clustering that better reflects theways in which collections of people are structured at an or-ganizational level and, consequently, the ... theuniversity, interacting with a very closed set

5 Aug 2008: Applications of op-portunistic mobile systems are growing in number and range frommore social network related ones (e.g., news/content distributionamong people travelling on public transport, or between vehicles)to ... The distribution of the average

24 Mar 2008: These structuresare emerging in presence of small clusters of people or communities.

29 Feb 2008: a surprise to most people (and a testament to theinvisibility of these devices) that the average household inthe developed world already possesses in the order of 40-50processors – some cars alone

4 Aug 2020: Recent work has started exploring how respiratory sounds (e.g.,coughs, breathing and voice) collected by devices from patientstested positive for COVID-19 in hospital differ from sounds fromhealthy people. ... Thisfinding manifests from the nature of the

29 Feb 2008: 2 The Road Tunnel Application Scenario. Over 200 people have died in Europe in road tunnel firesduring the last decade. ... 3] D. Bottazzi, A. Corradi, and R. Montanari. Context-awaremiddleware solutions for anytime and anywhere emergencyassistance to

29 Feb 2008: In such a situation if some people are working offline on locally cached copies the data while others are working online, inconsistencies can quickly develop.