Essays about: "Hagelbäck"
Found 5 essays containing the word Hagelbäck.
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1. With or Without the "Divine Spark": Animalised Humans and the Human-Animal Divide in Charles Dickens's Novels
University essay from Institutionen för språk (SPR)Abstract : Animals appear in many guises in Charles Dickens’s novels, as wild animals, domestic animals, animals used in the service of humans, and, not least, as images and symbols. Based on a close reading of all of Dickens’s major novels, this thesis centres on the symbolic use of (both metaphorical and actual) animals in the depiction of human characters, the chief aim being to explore a phenomenon that Dickens frequently resorts to, namely, the animalisation of human characters. READ MORE
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2. Gameplay experience with eye tracking
University essay from Blekinge Tekniska Högskola/Sektionen för datavetenskap och kommunikationAbstract : This study is about how a person who is used to play games experiences playing a game with their eyes as input. The participants played a 3D game where the player had to collect coins by moving a ball over them. The participants first tried the game with keyboard as input and then right after only interacting by gazing via screen. READ MORE
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3. Implementation of Asymmetric Potential Fields in Real Time Strategy Game
University essay from Blekinge Tekniska Högskola/Sektionen för datavetenskap och kommunikationAbstract : In eighties, the idea of using potential fields was first introduced in the field of the robotics. The purpose of using potential fields was to achieve the natural movement in robotics. Many researchers proceeded this idea to enhance their research. READ MORE
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4. The Description and Meaning of Faces in Selected Texts by Saul Bellow
University essay from Högskolan Dalarna/EngelskaAbstract : .... READ MORE
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5. Locating transmembrane domains in protein sequences
University essay from Blekinge Tekniska Högskola/Institutionen för programvaruteknik och datavetenskapAbstract : We have developed a new approach for locating transmembrane domains in protein sequences based on hydrophobicity analysis and backpropagation neural network or k-nearest-neighbor as classifiers. Our system was able to locate over 98% of the transmembrane domains and the total accuracy including overpredictions was above 95%. .. READ MORE