Answer:
About 5 years ago my girlfriend and I were taking a summer camping trip in southern Alberta. I was in the passenger seat trying to find the campground on a map when she drove over the crest of a hill, was blinded by the sun drove into the ditch. It was a seriously steep ditch but we weren't going very fast so all was fine. I looked over at her and laughed before returning my attention to the map, assuming she could safely bring the vehicle back onto the road.
The next thing I knew, the SUV launched onto the pavement and she lost control and we began swerving. I remember feeling the wheels on the driver's side lift off the ground, then the impact as I was slammed into the door and glass exploded into my face. We barrel rolled and we rolled over-front for a seriously long way.
At some point during the chaos I looked over at her to make sure she was "ok", and just as I did so I watched as she was thrown into the ground through her door window and the corner of the roof just above her seat was crushed inward. The way it looked to me was that she had just been crushed between the ground and the roof of the vehicle. I passed out at that point.
When I came to I had somehow already unbuckled myself from my seat and the vehicle was on its roof. I crawled over to her seat and was in absolute shock to see that she was still in one piece. I removed her from her seat and got us out through the windshield before carrying her for about a half a kilometer down the road, still in shock and fueled entirely by adrenaline.
We were found by a driver who had gone past the wreckage and we were eventually taken to a hospital. I broke 3 ribs on my right side and dislocated my right shoulder, she was severely concussed and scraped up but otherwise mostly okay. However she was 7 weeks pregnant at the time and we found out while in hospital that her body had rejected it under the immense and sudden stress.
We are still together and have 3 amazing and beautiful children, but she still holds onto a lot of guilt surrounding the accident and the loss.
Explanation:
Answer: $1,500
Explanation:
The future value of value using simple interest is:
Future value = Value * ( 1 + rate * time)
2,400 = Value * (1 + 15% * 4)
2,400 = Value * 1.6
Value = 2,400 / 1.6
Value = $1,500
The D. Company Name most likely stands out on a business card with an address or such in smaller font below. A logo does nothing for a business card if a potential customer doesn't even know the name of the business. While logo's are often present on a business card, the company name is far more crucial to enunciate clearly which is of course, important for business's attraction of new customers.
So D. Company Name is my final answer!
Hope this helps! ;)
Net neutrality also means that ISPs can't charge users access fees for particular websites. ... The goal of net neutrality is to ensure that businesses can compete freely on the internet without having to pay gatekeeper tolls. Without it consumers would look more like advertising segments than an open marketplace.
Credits: thestreet.com
Answer:
accounting system
Explanation:
The most common response variable modeled for cropping systems is yield, whether of grain, tuber, or forage biomass yield. This yield is harvested at a single point in time for determinate annual crops, while indeterminate crops and grasslands may be harvested multiple times. Although statistical models may be useful for predicting these biological yields in response to some combination of weather conditions, nutrient levels, irrigation amounts, etc. (e.g., Schlenker and Lobell, 2010, Lobell et al., 2011), they do not predict responses to nonlinearities and threshold effects outside the range of conditions in data used to develop them.
In contrast, dynamic cropping and grassland system models may simulate these biological yields and other responses important to analysts, such as crop water use, nitrogen uptake, nitrate leaching, soil erosion, soil carbon, greenhouse gas emissions, and residual soil nutrients. Dynamic models can also be used to estimate responses in places and for time periods and conditions for which there are no prior experiments. They can be used to simulate experiments and estimate responses that allow users to evaluate economic and environmental tradeoffs among alternative systems. Simulation experiments can predict responses to various climate and soil conditions, genetics, and management factors that are represented in the model. “Hybrid” agricultural system models that combine dynamic crop simulations with appropriate economic models can simulate policy-relevant “treatment effects” in an experimental design of climate impact and adaptation (Antle and Stockle, 2015).
