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This thesis is a process oriented case-study. The studied case is a interactiondesignassignment of a databasevisualisation and the process. The goalis to do this according to the ways of a screenwriter.When the computers spread from the military and university's into homes all around the world the computers and the programs had to becomeeasier for the users to understand and use. User interfacedesign became more and more important and companies like Apple put a lot of resources intothe designprocess. This quite new and evolving area of research, interactiondesign, has been forced to search for methods in other areas like lm, gamedesign, psychology and behavioural science. The area still needs to evolve and keep looking for new methods to bring the area forward.In this thesis the methods of a screenwriter is used in a interaction designwork.The main advantage of the screenwritingprocess might be the focuson the users feelings. This aspect was noted by Adam Connor during his speech at the conference InteractionEleven last year. Though Connor hasn't been writing any articles on this domain, it surely is an interesting aspectthat can help bring interaction deign forward. This thesis proves that it is possible to conduct a interaction designwork according to a screenwriters workingprocess with some advantages compared to common interactiondesignprocess

OPTIMIZING AUDIO BEAMS AND CAMERA CROPPING IN COLLABORATIVE WORKSPACES BASED ON MUTE BUTTON LOCATIONS

In collaborative workspaces, such as meeting rooms, it is desirable to optimize the direction of audio pickups (referred to herein interchangeably as \u27beams\u27) and also camera cropping to be focused on the location of a participant that is currently speaking during a collaborative session. Such optimizations are typically performed using audio triangulation techniques based on a speaker that is actively speaking during a meeting. However, when the audio in a meeting room is muted, it can be difficult to direct room cameras toward a meeting participant that desires to speak, as the audio triangulation techniques may be limited when no participant is actively speaking. Presented herein are techniques through which the delay in focusing audio beams and camera cropping can be optimized and shortened by deploying multiple mute buttons throughout a meeting room such that, when a meeting participant triggers a particular mute button in order to speak, audio beams and camera cropping can quickly be focused on the participant based at least in part on the location of the particular mute button within the room

The Activities and Program of the American Association of Law Libraries

Denna rapport kommer att behandla konstruktion och design av ett småskaligt portabelt solvärmesystem. Rapportens första del är en teoretisk referensram som ligger till grund för byggandet av en prototyp av den behandlade solvärmetypen som har testats för att se vilken prestanda som uppnåtts och hur systemet förhåller sig till en given målfunktion. Prototypen togs fram med hjälp av produktutvecklingsmetodik, vilken även finns utförligt förklarad i rapporten. Verkningsgraden för den byggda prototypen beräknades efter tester till 65 % och är dimensionerad för 70 liter vatten. Solvärmesystemet som uppvärmningsalternativ och dess konkurrenskraft bland andra uppvärmningsalternativ har också studerats och slutsatsen dragits att solvärme har många miljömässigt positiva aspekter men lång pay off-tid per utvunnen kWh vilket gör att det kan anses som ett mindre attraktivt alternativ i Sverige jämfört med länder med högre solinstrålning

Transgendered in Alaska: Navigating the Changing Legal Landscape for Change in Gender Petitions

Background: Detecting intracellular bacterial symbionts can be challenging when they persist at very low densities. Wolbachia, a widespread bacterial endosymbiont of invertebrates, is particularly challenging. Although it persists at high titers in many species, in others its densities are far below the detection limit of classic end-point Polymerase Chain Reaction (PCR). These low-titer infections can be reliably detected by combining PCR with DNA hybridization, but less elaborate strategies based on end-point PCR alone have proven less sensitive or less general. Results: We introduce a multicopy PCR target that allows fast and reliable detection of A-supergroup Wolbachia -even at low infection titers -with standard end-point PCR. The target is a multicopy motif (designated ARM: A-supergroup repeat motif) discovered in the genome of wMel (the Wolbachia in Drosophila melanogaster). ARM is found in at least seven other Wolbachia A-supergroup strains infecting various Drosophila, the wasp Muscidifurax and the tsetse fly Glossina. We demonstrate that end-point PCR targeting ARM can reliably detect both high-and low-titer Wolbachia infections in Drosophila, Glossina and interspecific hybrids. Conclusions: Simple end-point PCR of ARM facilitates detection of low-titer Wolbachia A-supergroup infections. Detecting these infections previously required more elaborate procedures. Our ARM target seems to be a general feature of Wolbachia A-supergroup genomes, unlike other multicopy markers such as insertion sequences (IS)

Learn the Time to Learn: Replay Scheduling in Continual Learning

Replay methods have shown to be successful in mitigating catastrophic forgetting in continual learning scenarios despite having limited access to historical data. However, storing historical data is cheap in many real-world applications, yet replaying all historical data would be prohibited due to processing time constraints. In such settings, we propose learning the time to learn for a continual learning system, in which we learn replay schedules over which tasks to replay at different time steps. To demonstrate the importance of learning the time to learn, we first use Monte Carlo tree search to find the proper replay schedule and show that it can outperform fixed scheduling policies in terms of continual learning performance. Moreover, to improve the scheduling efficiency itself, we propose to use reinforcement learning to learn the replay scheduling policies that can generalize to new continual learning scenarios without added computational cost. In our experiments, we show the advantages of learning the time to learn, which brings current continual learning research closer to real-world needs