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Showing result 1 - 5 of 2793 essays matching the above criteria.
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1. Low-lying zeroes of L-functions attached to modular forms
University essay from Göteborgs universitet/Institutionen för matematiska vetenskaperAbstract : We study the family of L-functions attached to Hecke newforms of weight k and level N and their low-lying zeroes. First, we recall the Density Conjecture of Katz and Sarnak and how it predicts the behaviour of the low-lying zeroes of any natural family of L-functions. READ MORE
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2. Investigation of Injury Predictors for Rat Neuro Trauma
University essay from KTH/Medicinteknik och hälsosystemAbstract : A traumatic brain injury is usually caused by a direct impact to the head and is a common cause of disability and death all around the world. The most effective method to predict brain injury today, is to use a finite element head model. READ MORE
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3. Insights Into Wind Profile Characteristics in the Arctic Marine Boundary Layer
University essay from Uppsala universitet/Luft-, vatten- och landskapsläraAbstract : The atmospheric boundary layer in the Arctic is essential for the understanding of climate change and improving regional weather prediction. The aim of this study is to investigate to which degree wind speed profiles retrieved in the Arctic agree with well known wind profile concepts and understand which local impact factors influence the wind speed profile. READ MORE
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4. Network Connectedness in Financial Markets
University essay from Handelshögskolan i Stockholm/Institutionen för finansiell ekonomiAbstract : This paper is a collection of two different theses discussing the prediction of the returns and volatilities of the S&P 500 constituents and of US Real Estate Investment Trusts (REITs) by analyzing their centrality within the financial market network. Both empirical works summarize the relevant financial and network literature, demonstrating how modeling stock connectedness within financial markets makes it possible to create returns and volatility predictors, improving investors' portfolio allocations and achieved investment Sharpe ratios. READ MORE
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5. 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