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Registration of physical attendance at the event MAX IV and ESS as engines for breakthrough science

Register your physical attendance at the event via this form. We will confirm your physical attendance no later than 19th October. When: 20th October, 12.45 - 14.00 Where: Birgit Rausing venue, Skissernas museum, Finngatan 2, Lund. The event will also be live-streamed on Lund University's Youtube channel. When you send in this webform to Lund University, we process your personal data in accordance

https://www.lu.se/formular/registration-physical-attendance-event-max-iv-and-ess-engines-breakthrough-science - 2026-06-18

26e584cabdd34ba8ad07f9c13c6ea08983d27913 FLGL01 Anso kningsblankett

Språk- och litteraturcentrum Lunds universitets författarskola Anmälan till Författarskolan: Litterär gestaltning: Grundkurs, HT2026 Sista anmälningsdag: 15 april 2026 Efternamn Förnamn Personnummer Adress, postnr och ort Telefon E-postadress Bifoga ifylld blankett i den pdf du publicerar på antagning.se ihop med skrivprov och personligt brev. Se vidare information på Författarskolan http://www.so

https://www.lunduniversity.lu.se/sites/www.lunduniversity.lu.se/files/26e584cabdd34ba8ad07f9c13c6ea08983d27913_FLGL01_____Anso__kningsblankett.pdf - 2026-06-19

Passenger flows and dwell times for commuter trains in Stockholm

This study investigates how the volume and flow of passengers affect dwell times, usingdata from commuter trains in Stockholm. We show that dwell times often take longer thanscheduled and that most station stops involve rather limited numbers of passengers.Improving the performance at these stops with small volumes can thus have a sizeableimpact on the overall on-time performance. We find a quadraThis study investigates how the volume and flow of passengers affect dwell times, using data from commuter trains in Stockholm. We show that dwell times often take longer than scheduled and that most station stops involve rather limited numbers of passengers. Improving the performance at these stops with small volumes can thus have a sizeable impact on the overall on-time performance. We find a qu