Even though they are created and stored on the user’s device, tracking technologies are mostly non-transparent and sometimes undetectable to the average user, thus, making it relatively easy to extract large amounts of user data. Moreover, despite their “invisibility” and relatively small size, tracking technologies are responsible for triggering myriads of algorithmic processes at a global scale, exploiting user behaviour data with a direct impact on the user’s devices power consumption. The research behind Carbolytics identifies and analyses the carbon emissions of the cookies on the top one million most visited websites. The investigation identified more than 21 million cookies per single visit to the landing page of all these websites, belonging to more than 1200 different companies, which translates to an average traffic of 197 trillion cookies per month, resulting in 11,442 monthly metric tonnes of CO2 emissions. It’s important to understand that this number reflects browser-based cookie traffic and does not include app tracking activity, so we estimate this number to be dramatically higher. Interlace, each early field was followed by 3.5 lines of blanking before vsync, and each late field was followed by 3 lines of blanking before vsync (slightly less because my dongle emits vsync pulses slightly before hsync). Interlace, each early field was followed by 1.5 lines of blanking, and each late field was followed by 1 line of blanking. In the world of television and video, interlacing has found its way into the modern age. In the early days of HDTV, before LCD killed off plasma and CRT, some manufacturers released native 1080i HD CRTs. These generally had a fixed horizontal scan rate of 33.75 KHz (1125 lines every 1/30 of a second, split across two fields), displaying fast-moving objects at 540 lines per field. Some HD CRTs supported native 480p scanning at 31.5 KHz as well, for displaying 480i/p content without scaling. If a HD CRT supported 720p content, it would be scaled to 540 lines tall per field before being displayed. Once the bridge is merged upstream, the PCI/PCI Express infrastructure will be ported to the QOM model to conform with QEMU standards, all that as the time permits. QEMU does not yet take advantage of Hypervisor.framework, the API for hypervisors on macOS. Currently one must use the slower TCG just-in-time compiler or the Intel HAXM accelerator module that relies on a third-party driver. Hypervisor.framework was added to macOS in Yosemite (10.10). It exposes the Intel VMX CPU feature for running guest code safely at native speed. The main difference to the KVM or HAXM APIs is that the Hypervisor.framework user must implement instruction emulation to handle instructions that vmexit due to I/O accesses. Most of the code will be related to this emulator. QEMU would be able to run x86 virtual machines with much better performance and without relying on third-party drivers thanks to Hypervisor.framework. This will make QEMU more useful on macOS and encourage more contributions from developers on that platform. It's not uncommon for wheel weights to be mounted on both the inside and outside of the wheel. Unbalanced wheels are a common cause of car vibration, and though this is a difficult problem to diagnose on your own, it's fairly inexpensive to have a shop check out and balance for you. If an unbalanced wheel can cause vibrations in your car, any damage to your wheels certainly can, too - and it might be more common than you think. Watch out for potholes and sloppy road repairs, which can both be equally hazardous to your wheels. Even a little bump that you immediately forget can be enough to throw your wheels out of round. Another thing to look for is "runout." This is the term that describes how much a wheel deviates from a perfectly circular rotation when it is spun. Wheel technicians use precision instruments to determine if runout on any particular wheel exceeds half an inch. How we use Loris to provide a IIIF Image API for browsing our collections at Wellcome-how it runs in AWS, store our high-resolution images, and monitor the service. Making your repo easy to clone and build is very important. This post explains why, and how I’m using Make and Docker to achieve that goal. Two commands for managing Git branches: one for deleting branches which have already been merged, one for deleting branches which were deleted on a remote. A detailed breakdown of how I wrote a Python script to download logs from CloudWatch. As https://www.pdfhelp.net/compress-pdf celebrates five years since its reboot at TNMoC, a fun story of how it was left to run at Christmas. Tapping the microphone to test it can be bad for all sorts of reasons - and other advice from the Nine Worlds speaker guidelines. How does Git work under the hood? How does it store information, and what’s really behind a branch?