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Showing result 1 - 5 of 1988 essays matching the above criteria.
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1. Simulating Mobility of Large Population using Mobile Application Data
University essay from Göteborgs universitet/Institutionen för data- och informationsteknikAbstract : Understanding people’s travel patterns and knowing the frequency of their travel activities provide important insights for effective transport management and infrastructure planning. While traditional travel surveys have historically contributed to this valuable information, they come with shortcomings such as being expensive to collect, easily outdated, and having short time coverage. READ MORE
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2. Riparian plant biodiversity and community composition of ditches and straightened streams : identifying key environmental drivers in a boreal forest setting
University essay from SLU/Dept. of Forest Ecology and ManagementAbstract : Modified ecosystems are typically seen as degraded and having no ecological value. In many cases, the modification of the ecosystem was done more than 100 years ago and may have had time to recover and become a refugia for species that were once more common in the landscape. READ MORE
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3. Beyond the Bonus Check: A qualitative study unraveling the complexities of employee motivation in a PFP environment
University essay from Handelshögskolan i Stockholm/Institutionen för redovisning och finansieringAbstract : This thesis is a qualitative single-case study of employee motivation in a PFP environment within a Swedish business unit of one of the world's largest project development- and construction companies. The aim is to investigate how employees perceive and experience the impact of a PFP bonus system on their motivation. READ MORE
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4. Predicting True Sepsis and Culture-positive Sepsis in Intensive Care Unit with Machine Learning Techniques
University essay from Lunds universitet/Matematisk statistikAbstract : Sepsis, a serious medical condition often leading to patients requiring intensive care, has prompted numerous scientists to employ mathematical techniques to aid in its diagnosis. This thesis uses logistic regression and a machine learning technique, XGBoost, to predict true sepsis (as opposed to sepsis mimics) and culture-positive sepsis (among true sepsis) in critical care using blood test results, physiological measurements and other patient characteristics. READ MORE
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5. Characterisation of Non-metallic Inclusions in Special Steels using Electrolytic Extraction
University essay from KTH/MaterialvetenskapAbstract : When producing high strength special steels strict requirements are in place to assure the quality of the final product, both in terms of harmful elements and the content of non-metallic inclusions (NMI). Achieving cleanliness is a gradual process where all the steps of the production process are inter- connected, meaning that it is crucial to know the influence of each step in order to assure the contents of the final product. READ MORE