Essays about: "agent of stability"
Showing result 1 - 5 of 58 essays containing the words agent of stability.
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1. The effect of high pressure homogenization on emulsions containing oat β-glucan : a study of viscosity, stability and molecular weight
University essay from Lunds universitet/Livsmedelsteknik och nutrition (master)Abstract : This master thesis project has been conducted in cooperation with Lantmännen AB who are producers of PromOat® - an oat β-glucan powder concentrate. The main objective of this thesis was to investigate the properties of emulsions containing PromOat® oat β-glucan, focusing on the viscosity, stability, and molecular weight before and after high pressure homogenization (HPH) at pressures of 100, 150 and 200 bars. READ MORE
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2. Development of a PNA-drug conjugate for pretargeted delivery of cytotoxic drugs
University essay from Uppsala universitet/TheranosticsAbstract : One of the major challenges in cancer treatment is delivering high enough doses of active substance specifically to cancer cells without accumulation in healthy organs. Pretargeting has emerged as a potential solution, where the delivery of a cancer recognizing (primary) agent and a cancer killing (secondary) agent are separated. READ MORE
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3. CoordinateFree Spacecraft Formation Control with Global Shape Convergence under VisionBased Sensing
University essay from KTH/Skolan för elektroteknik och datavetenskap (EECS)Abstract : Formation control in multi-agent systems represents a groundbreaking intersection of various research fields with lots of emerging applications in various technologies. The realm of space exploration also can benefit significantly from formation control, facilitating a wide range of functions from astronomical observations, and climate monitoring to enhancing telecommunications, and on-orbit servicing and assembly. READ MORE
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4. S-MARL: An Algorithm for Single-To-Multi-Agent Reinforcement Learning : Case Study: Formula 1 Race Strategies
University essay from KTH/Skolan för elektroteknik och datavetenskap (EECS)Abstract : A Multi-Agent System is a group of autonomous, intelligent, interacting agents sharing an environment that they observe through sensors, and upon which they act with actuators. The behaviors of these agents can be either defined upfront by programmers or learned by trial-and-error resorting to Reinforcement Learning. READ MORE
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5. Stabilizing Side Effects of Experience Replay With Different Network Sizes for Deep Q-Network
University essay from KTH/Skolan för elektroteknik och datavetenskap (EECS)Abstract : This report investigates the effects of two different types of batch selection used for traininga Deep Reinforcement Learning agent in games. More specifically, the impact of thedifferent methods were tested for different sizes of Deep Neural Networks while using theDeep Q-Network (DQN) algorithm. READ MORE