Open Source Internet Research Tool (OSIRT) is a self described “browser on steroids” that’s designed to aid law enforcement officials of all skill levels to conduct Open Source Research on the Internet.OSIRT styles itself on the look and feel of a normal web browser, but provides additional functionality such as screen capturing and automated logging of webpages visited. All evidential artefacts are automatically placed into a case container, along with the date and time they were obtained and a cryptographic hash for file verification.OSIRT has been designed in collaboration with the College of Policing, where it is used as a centre piece for one of the College’s training courses. In addition to this, OSIRT is also used by numerous law enforcement officials across the UK for live investigations; with many of OSIRT’s features based directly from law enforcement feedback and suggestions.This poster highlights the current features of OSIRT, along with OSIRT’s future direction and a call for ideas and suggestions from the academic community..
This one doesn’t surprise us one bit and we’ll explain why in a moment. Until then, clock this: a Highway Loss Data Institute (HLDI) study determined that laws banning the use of hand held phones have no effect on the crash rate. None, as in zero effect.
It frustrating and some people give up. If you can look into someone else reality and realize why they are doing what they doing, it makes you see outside of your own bubble and gives you perspective. At least for me, I couldn be angry once I understand someone else reality.
Health care system is such an utter failure that the government must force citizens to buy into it under the threat of IRS penalties. If health care based on conventional drugs and surgery actually worked, you wouldn’t have to threaten the citizens with punishment if they chose not to use it. The only reason IRS agents have to be used to bully people into buying health insurance is because our modern sick care system doesn’t work..
Additional Information:The study aim was to consider the use of a motorised treadmill as a cycling ergometry system by assessing predicted and recorded power output values during treadmill cycling. Fourteen male cyclists completed repeated cycling trials on a motorised treadmill whilst riding their own bicycle fitted with a mobile ergometer. The speed, gradient and loading via an external pulley system were recorded during 20 s constant speed trials and used to estimate power output with an assumption about the contribution of rolling resistance.