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Ada Gray, 66, died after she contracted gangrene, had her leg amputated and was then diagnosed with the superbug MRSA. The settlement marks the end of four years of agony for the family which began after Ada, from Commercial Road, Byker, contracted gangrene in her toe. A spokeswoman for Newcastle upon Tyne Hospitals NHS Trust said: \"A claim was brought by the family of Mrs Gray in respect of their concerns over treatment received at the Freeman Hospital in Newcastle.

It's unlikely that the owners of the Screaming Tale bar in Belleville had Joyce Worsley and Ada Gray in mind when they advertised for topless waitresses. Worsley, 66, and Gray, her 85- year-old mother, turned up Tuesday to apply for jobs.

Ada GRAY, (nee Harris) - Of Guelph, passed away peacefully, at Twin Oaks of Maryhill, on Monday, August 11, 2008, in her 95th year. Beloved wife of the late William Gray (1995). Loved mother of Bill (Marlene) Gray. Loving grandmother of Robert. Predeceased by brothers, Sam, Jock and Derby Harris and sister, Grace Tully.

Ada GRAY, (nee Harris) - Of Guelph, passed away peacefully, at Twin Oaks of Maryhill, on Monday, August 11, 2008, in her 95th year. Beloved wife of the late William Gray (1995). Loved mother of Bill (Marlene) Gray. Loving grandmother of Robert. Predeceased by brothers, Sam, Jock and Derby Harris and sister, Grace Tully.

Jayne Gould reviews the book \"More People to Love Me\" by Mo O'Hara and Ada Grey.

Zookeeper Bob McGrew cares for lots of animals, which also means lots of poopscooping, including \"gobs of gnu poo, bouncy kangaroo poo, / a dotted line of droppings from a fat wombat!\" But his routine is interrupted when an iguana escapes its habitat and goes on an eating binge, devouring cakes, pizza, and more (even fireflies, for \"something light\").

Discover huge elephant poops and examine tiny bug droppings. Kids will love this factual and funny celebration of excrement. Written by Steve Smallman and illustrated by Ada Grey. Tiger Tales

In this paper, we introduce an efficient lossy coding procedure specifically tailored for handling video sequences of automotive high-dynamic range (HDR) image sensors in advanced driver-assistance systems (ADASs) for autonomous vehicles. Nowadays, mainly for security reasons, lossless compression is used in the automotive industry. However, it offers very low compression rates. To obtain higher compression rates, we suggest using lossy codecs, especially when testing image processing algorithms in software in-the-loop (SiL) or hardware-in-the-loop (HiL) conditions. Our approach leverages the high-quality VP9 codec, operating in two distinct modes: grayscale image compression for automatic image analysis and color (in RGB format) image compression for manual analysis. In both modes, images are acquired from the automotive-specific RCCC (red, clear, clear, clear) image sensor. The codec is designed to achieve a controlled image quality and state-of-the-art compression ratios while maintaining real-time feasibility. In automotive applications, the inherent data loss poses challenges associated with lossy codecs, particularly in rapidly changing scenes with intricate details. To address this, we propose configuring the lossy codecs in variable bitrate (VBR) mode with a constrained quality (CQ) parameter. By adjusting the quantization parameter, users can tailor the codec behavior to their specific application requirements. In this context, a detailed analysis of the quality of lossy compressed images in terms of the structural similarity index metric (SSIM) and the peak signal-to-noise ratio (PSNR) metrics is presented. With this analysis, we extracted some codec parameters, which have an important impact on preservation of video quality and compression ratio. The proposed compression settings are very efficient: the compression ratios vary from 51 to 7765 for grayscale image mode and from 4.51 to 602.6 for RGB image mode, depending on the specified output image quality settings. We reached 129 frames per second (fps) for compression and 315 fps for decompression in grayscale mode and 102 fps for compression and 121 fps for decompression in the RGB mode. These make it possible to achieve a much higher compression ratio compared to lossless compression while maintaining control over image quality.

Driving safety field (DSF) model has been proposed to represent comprehensive driving risk formed by interactions of driver-vehicle-road in mixed traffic environment. In this work, we establish an optimization model based on grey relation degree analysis to calibrate risk coefficients of DSF model. To solve the optimum solution, a genetic algorithm is employed. Finally, the DSF model is verified through a real-world driving experiment. Results show that the DSF model is consistent with driver’s hazard perception and more sensitive than TTC. Moreover, the proposed DSF model offers a novel way for criticality assessment and decision-making of advanced driver assistance systems and intelligent connected vehicles.