Insolvency Prediction of Property and Casualty Insurers

The intern will study possible enhancements to insolvency prediction models of the partner company. Her study will extend the previous models by combining macroeconomic market information and firm-specific information to identify firms facing possible financial trouble. The results of the study will provide helpful information for the company’s surveillance efforts to prevent insolvency or reduce […]

Read More
Calculation of the True Anisotrophic Distance Between Points

Geostatistics uses statistical modelling to assess the uncertainty inherent in natural resource problems. There is always a sparsity of data because of the cost of getting samples. Statistical models have emerged as the preferred method of quantifying the uncertainly in this situation. These models allow mining, petroleum and environmental companies to make better decisions when […]

Read More
Residential Construction Material Waste Minimization

The objective of this research is to develop a comprehensive material waste minimization program in order to enhance sustainable development and promote innovation in the residential construction field. The scope of the research will include the identification and detailed examination of the factors that contribute to residential construction material wastes, the investigation of opportunities for […]

Read More
A Parameter-based Statistical Algorithm for Math Items in Multimedia Education

Castle Rock Research provides quality curriculum-based educational resources to students, parents and educators, both online and in print. This project involves the design of a parameter-based statistical algorithm to automatically generate math questions for multimedia education applications. Rather than relying on a curriculum designer to create questions one by one, multiple questions can be generated […]

Read More
A Statistical Model to Assess Cognitive Skills

Castle Rock Research provides quality curriculum-based educational resources to students, parents and educators, both online and in print. Assessment of learned knowledge needs to focus on two distinct aspects: knowledge retention and associated cognitive skills. Knowledge retention not only refers to the ability to recall learned facts but also the ability to understand the relationship […]

Read More
Building Information Model for the Automation of Residential Design and Construction

This research project will automate construction drawings for wood framing designs and apply them on site to residential facilities under construction by Landmark Master Builder. By utilizing 3D modelling, the intern will produce automatically-generated sets of construction drawings that can be easily read and understood by carpenters and framers who assemble wall panels, thus eliminating […]

Read More
Data Analysis and Hypothesis Testing for Cattle Carcass Data and Single Nucleotide Polymorphisms

Feedlot Health Management Services is a comprehensive beef industry consultancy, providing veterinary services, herd health programs and computerized health-recording systems and other informational tools to producers. Fat yield, lean yield, meat tenderness, carcass marbling and carcass grading are some characteristics of cattle that are measures of beef quality. Thus, the goal of this project is […]

Read More
Optimization of Learning Performance on Multimedia Items using Machine-learning Methods

Castle Rock Research provides quality curriculum-based educational resources to students, parents and educators, both online and in print. Reinforcement has been well-studied in psychology and proven to be an efficient learning technique. However, learning behavior varies from one individual to another. It is important to understand one’s learning capabilities and response pattern so as to […]

Read More
Prediction of Complex Molecule Structures with HDX Mass Spectrometry-guided Molecular Dynamics Simulations Part II – Generalization and Parametrization

Hydrogen/deuterium exchange mass spectrometry (HDX-MS) is a powerful emerging experimental technique which provides important information about the solvent exposed area of complex molecular systems that is not readily available through existing technologies. HDX-MS can be applied to the specific cases of small molecules binding to protein systems, which is very important for the understanding, and […]

Read More