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Decontaminating water with the help of solar energy
Decontaminating water with the help of solar energy
Grade 10 Research :)
Pamela Arboleda, Hannah Calinisan, Carla Cacao, Anri Noblezala
X. Hallův jev (Hall Effect)
X. Hallův jev (Hall Effect)
A project to: Determine the dependence of the sample stream on the voltage at zero magnetic induction. Find the dependence of the Hall voltage on the magnetic induction at two values ​​of constant current sample. Process the measurement results graphically and evaluate conductivity and Hall effect sample. Calculate the mobility and concentration of charge carriers.
Michal Krištof
Filosofia Antiga
Filosofia Antiga
Artigo de pesquisa
leandro oliveira
BCR Analysis - Reputation - Bordeaux
BCR Analysis - Reputation - Bordeaux
In this paper we develop an original approach to evaluate the costs and benefits associated to a generic promotion program using an application to Bordeaux wines. The benefit is computed from the marginal impact of the collective reputation of the program on the individual reputation of its members. These different marginal impacts are estimated using detailed survey data about the image of Bordeaux wines in seven European countries. We find positive and significant spillover effects from the umbrella reputation (Bordeaux) that moreover increase with the individual reputation level of the wine. Controlling for the natural endogeneity of the collective reputation in this setup, we capture the important fact that this relationship is faced with marginal diminishing returns. These spillover effects, when significantly positive, vary from a minimum of 5% to a maximum of 15% of additional favorable quality opinions. We then show that some subregions are more likely to benefit from generic promotion programs, suggesting that fees should be established on a benefit-cost basis.
Brad Rickard
Solução estacionária da EDP de Defeitos de Radiação por métodos numéricos
Solução estacionária da EDP de Defeitos de Radiação por métodos numéricos
It's a work that discuss solutions of an specific equation using different numerical methods.
Davi
Primordijalna nukleosinteza
Primordijalna nukleosinteza
Seminarski rad
Marko Micic
Oscillation Lab
Oscillation Lab
The purpose of this lab was to illustrate the validity of the law of conservation of energy along with the determination of the spring constant of a given spring. For the first part the spring constantk was to be found from a given spring. Through the suspension of various known metal masses on a vertically suspended spring, the spring constant was determined. Two methods were used: the algebraic rearrangement of Hooke's Law and a slope analysis of a linear regression on a Force (N) against Stretch Length (m) scatter plot. The spring constant k was determined to be 26.438 ± 1.063. For the second part of the lab, the aim was to validate the law of conservation of energy through the oscillation of a vertically suspended spring. Data was collected using a Vernier Motion Detector 2 machine and the various energies (kinetic energy, gravitational potential energy and spring potential energy) were collected and summed up. The sum of these energies yielded a fairly constant energy total (2.287 J ± 0.025 J) which supports the authenticity of the law of conservation of energy. While there were some uncertainties due to the lab setup, human error and equipment error it did not affect the validity of the methods during experimentation. Overall, the spring constant k of a given spring was determined and the law of conservation of energy was validated through the calculation of total energy during a suspended mass' oscillation.
Nikhil Patil
Exploring the use of Big Data techniques for simulating Algorithmic Trading Strategies
Exploring the use of Big Data techniques for simulating Algorithmic Trading Strategies
In the world of information technology where huge amount of useful information is available and easily accessible, we investigate an approach to utilize this information in Algorithmic Trading. Algorithmic trading involves implementation of a strategy using computer programs to automatically buy and sell financial instruments to generate profit at a speed and frequency that is impossible for a human trader. High Frequency Trading (HFT) is one type of algorithmic trading characterized by high turnover and high order-to-trade ratios. There are different strategies that can be applied to HFT. We propose a framework to utilize information available in the form of news articles, which can be used in stock trading at high frequency. We use semantic values of news articles for different stocks to generate buy/sell signals at a high frequency. We demonstrate the performance of our framework by simulating stock trade based on generated buy/sell signals for a small period of time.
Jiten Thakkar