bank holiday
How to enjoy the World Cup - and keep your boss on side
With the 2026 FIFA World Cup about to get under way, many fans in England and Scotland are honing their strategy to balance late kick-offs with work the next morning. Matches are happening across the US, Canada and Mexico, with England's group games starting at 2100 and 2200 BST and Scotland's even later at 2300 and 0200. Some football fans have already strategically booked annual leave around potential knockout fixtures. Others are hoping to negotiate flexible working - later starts or working from home after late-night matches. Scotland fan Cameron Rae has already booked the Monday after the Haiti game off work so he can attend a Tartan Army fan zone at his local town hall, complete with a bar and DJ running until 4am.
Experts reveal the best time to go online to bag yourself a DATE this bank holiday
While dating apps were once seen as taboo, they're now one of the main ways that singletons find love around the world. And if you're single this bank holiday, there's good news, as experts from dating app Badoo have revealed the best time to go online to bag yourself a date. According to their research, Saturday from 8-10pm is the peak time to swipe this weekend. Remy Le Fevre, Senior Director of Global Marketing at Badoo said: 'Easter is a great time for dating; the days are finally getting brighter and longer, and moods are lifting. 'Not to mention that thanks to two bank holidays - Friday and Monday - we actually have a bit of extra time on our hands, too.'
Motif Detection Inspired by Immune Memory
Wilson, William, Birkin, Phil, Aickelin, Uwe
The search for patterns or motifs in data represents an area of key interest to many researchers. In this paper we present the Motif Tracking Algorithm, a novel immune inspired pattern identification tool that is able to identify variable length unknown motifs which repeat within time series data. The algorithm searches from a completely neutral perspective that is independent of the data being analysed and the underlying motifs. In this paper we test the flexibility of the motif tracking algorithm by applying it to the search for patterns in two industrial data sets. The algorithm is able to identify a population of motifs successfully in both cases, and the value of these motifs is discussed.