Submitting Theories of Respondeat Superior and Negligent Entrustment/Hiring

An employer who entrusts, hires or retains an incompetent employee to operate a motor vehicle is liable for any resulting damages. Liability does not arise out of the employment relationship, nor does it rest on vicarious liability. It is an independent tort resting on the combined negligence of the employer and the employee. In McHaffie v. Bunch, the Missouri Supreme Court considered this evidentiary problem and concluded that evidence associated with the claims of negligent entrustment/hiring must be excluded when defendant employers stipulate to liability under respondeat superior. This Note considers the appropriateness of this holding

A Strategy for Church Planting in the Central Region of the Fellowship of Evangelical Baptist Churches in Canada

Church planting is essential for the evangelization of Canada. The purpose of this project is to develop a strategy for church planting within the central region of The Fellowship of Evangelical Baptist Churches in Canada (FEB CENTRAL). This project examines the biblical nature of the church and church planting, highlights salient features of contemporary church planting, outlines a history of Baptist church planting in FEB CENTRAL, reviews two survey/questionnaires given to FEB CENTRAL church planters and administrators, and develops a strategy for church planting in the FEB CENTRAL region of The Fellowship of Evangelical Baptist Churches in Canada

Chilabothrus subflavus

Number of pages = 30Geological SciencesIntegrative Biolog

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Real-time software receiver

A real-time software receiver that executes on a general purpose processor. The software receiver includes data acquisition and correlator modules that perform, in place of hardware correlation, baseband mixing and PRN code correlation using bit-wise parallelism

Quality Control in Weather Monitoring with Dynamic Linear Models

Decisions in agriculture are frequently based on weather. With an increase in the availability and affordability of off-the-shelf weather stations, farmers able to acquire localised weather information. However, with uncertainty in the sensor and installation quality, farmers are at risk of making poor decisions based on incorrect data. We present an automated approach to perform quality control on weather sensors. Our approach uses time-series modelling and data fusion with Bayesian principles to provide predictions with uncertainty quantification. These predictions and uncertainty are used to estimate the validity of a sensor observation. We test on temperature, wind, and humidity data and achieve error hit rates above 80% and false negative rates below 11%

In Solidarity

This edition of Next Page is a departure from our usual question and answer format with a featured campus reader. Instead, we asked speakers who participated in the College’s recent Student Solidarity Rally (March 1, 2017) to recommend readings that might further our understanding of the topics on which they spoke

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