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![Comparative analysis of the BRICS Trade](https://writelatex.s3.amazonaws.com/published_ver/3556.jpeg?X-Amz-Expires=14400&X-Amz-Date=20240702T112249Z&X-Amz-Algorithm=AWS4-HMAC-SHA256&X-Amz-Credential=AKIAWJBOALPNFPV7PVH5/20240702/us-east-1/s3/aws4_request&X-Amz-SignedHeaders=host&X-Amz-Signature=4d566f1795ccf022b7ddfefecc9c97ea4e057d53f644b2936f84e92db38efcd7)
Comparative analysis of the BRICS Trade
This article analyzes how economic growth, economic population, budget deficit, disposable income per capita and currency affect the theoretical scale of a country’s trade with traditional economic perspective. The study found that China owns the strongest trade competitiveness in the “BRICS” five countries, the second is Russia. India, Brazil and South Africa are respectively after that. From the point of view of trade competitiveness, though economic population, economic growth, and fiscal deficit on China trade scale role better than the rest of the four countries, but the disposable income per capita in South Africa have the greatest positive affect of foreign trade scale, and almost no impact to China. In addition, the exchange rate appreciation for China's foreign trade scale of most negative effects. In the short term, therefore, China could continue to maintain strong trade competitiveness, but not necessarily if in the long run.
ang su
![Curriculum Guide for Doctoral Training (Uganda)](https://writelatex.s3.amazonaws.com/published_ver/12645.jpeg?X-Amz-Expires=14400&X-Amz-Date=20240702T112249Z&X-Amz-Algorithm=AWS4-HMAC-SHA256&X-Amz-Credential=AKIAWJBOALPNFPV7PVH5/20240702/us-east-1/s3/aws4_request&X-Amz-SignedHeaders=host&X-Amz-Signature=05d9c8e64490116d7d18682a3c752052e5dc63ebd8728f2f2e32755e9917be89)
Curriculum Guide for Doctoral Training (Uganda)
Recommended curriculum developed to suit the specific and strategic aims of doctoral training within the injury epidemiology and prevention research group.
Michael L. Wilson
![NotasARF](https://writelatex.s3.amazonaws.com/published_ver/10163.jpeg?X-Amz-Expires=14400&X-Amz-Date=20240702T112249Z&X-Amz-Algorithm=AWS4-HMAC-SHA256&X-Amz-Credential=AKIAWJBOALPNFPV7PVH5/20240702/us-east-1/s3/aws4_request&X-Amz-SignedHeaders=host&X-Amz-Signature=39379ffd9dbaa98cabca8f0441382a11f6a5bedf308510ad3b07d7f126e338cf)
NotasARF
Notas de Administración de Riesgos Financieros
Jocelyn Or.Va.
![Study of Electricity Theft Impact on the Economy of a Regulated Electricity Company](https://writelatex.s3.amazonaws.com/published_ver/5126.jpeg?X-Amz-Expires=14400&X-Amz-Date=20240702T112249Z&X-Amz-Algorithm=AWS4-HMAC-SHA256&X-Amz-Credential=AKIAWJBOALPNFPV7PVH5/20240702/us-east-1/s3/aws4_request&X-Amz-SignedHeaders=host&X-Amz-Signature=4ff7c4847a9f9a43145857efd1d1f6146ee6388218ab21da8232c962299e1d98)
Study of Electricity Theft Impact on the Economy of a Regulated Electricity Company
The Electricity theft is an economic issue for the electricity company due to unbilled revenue of consumers who commit such action. In a regulated scenario the company needs to fit within the laws of a regulatory agency (ANEEL in Brazil) and the loss of revenue is a problem that can compromise the compliance with regulatory targets and business efficiency. The objective of this article is to analyze how the energy theft impacts on the economy of the regulated company, consumers and society as a whole. Through the economic model Tarot (Optimized Tariff) it was possible through a concise and comprehensive manner to analyze the regulated electricity market using simulations and discover in which points the company operates optimally and through it to determine the economic indicators.
Lucas Arango
![A Statistical Analysis of the Simpson College Football Offense](https://writelatex.s3.amazonaws.com/published_ver/4432.jpeg?X-Amz-Expires=14400&X-Amz-Date=20240702T112249Z&X-Amz-Algorithm=AWS4-HMAC-SHA256&X-Amz-Credential=AKIAWJBOALPNFPV7PVH5/20240702/us-east-1/s3/aws4_request&X-Amz-SignedHeaders=host&X-Amz-Signature=7aedfa50b9c03c85ea3262d17182ad2827265f45a88659c87e4a8e4fa0f7da85)
A Statistical Analysis of the Simpson College Football Offense
This project explores the predictability of play-calling of the Simpson College football offense during the years of 2012-2014. The models used to assess the predictability include simple analysis as well as linear and logistic regression.
Erik Hall
![Sistema axiomático de los números reales](https://writelatex.s3.amazonaws.com/published_ver/10122.jpeg?X-Amz-Expires=14400&X-Amz-Date=20240702T112250Z&X-Amz-Algorithm=AWS4-HMAC-SHA256&X-Amz-Credential=AKIAWJBOALPNFPV7PVH5/20240702/us-east-1/s3/aws4_request&X-Amz-SignedHeaders=host&X-Amz-Signature=59bf0210bdaf3b8f37da8611a13e821a409ea59e06f77e084b8d60937b7fcdb3)
Sistema axiomático de los números reales
El sistema axiomático de los números reales. Los números reales forman un conjunto denotado por ℝ, provisto de dos operaciones: la adición (+), la multiplicación (⋅) y una relación de orden (<) “menor que” que verifica los siguientes tres grupos de propiedades básicas (axiomas).
Emanuel Pontoni
![Sarvesh Parab's Résumé](https://writelatex.s3.amazonaws.com/published_ver/10904.jpeg?X-Amz-Expires=14400&X-Amz-Date=20240702T112250Z&X-Amz-Algorithm=AWS4-HMAC-SHA256&X-Amz-Credential=AKIAWJBOALPNFPV7PVH5/20240702/us-east-1/s3/aws4_request&X-Amz-SignedHeaders=host&X-Amz-Signature=164b81340f799141f9ef266292e9e2b8887892da75b1c421d4ff2f20c76b90c1)
Sarvesh Parab's Résumé
Sarvesh Parab's Résumé. Created with the Medium Length CV template.
Sarvesh Parab
![Vaibhav Kumar Chaudhary's CV](https://writelatex.s3.amazonaws.com/published_ver/9813.jpeg?X-Amz-Expires=14400&X-Amz-Date=20240702T112250Z&X-Amz-Algorithm=AWS4-HMAC-SHA256&X-Amz-Credential=AKIAWJBOALPNFPV7PVH5/20240702/us-east-1/s3/aws4_request&X-Amz-SignedHeaders=host&X-Amz-Signature=8c7a3828f1b55efd8d835e01258a83d94dfd499fcff85ae1d7749c9b0432c30d)
Vaibhav Kumar Chaudhary's CV
Vaibhav Kumar Chaudhary
Vaibhav Kumar Chaudhary
![PRE-INFORME L6](https://writelatex.s3.amazonaws.com/published_ver/3921.jpeg?X-Amz-Expires=14400&X-Amz-Date=20240702T112250Z&X-Amz-Algorithm=AWS4-HMAC-SHA256&X-Amz-Credential=AKIAWJBOALPNFPV7PVH5/20240702/us-east-1/s3/aws4_request&X-Amz-SignedHeaders=host&X-Amz-Signature=40e65b1a183f2a7dea26041fb62aeb54abd42122799262258123362f8b67cf8d)
PRE-INFORME L6
Pre-informe del laboratorio de física 1, guía L6
Daniela Duarte