We present a preliminary exploration of application crash events in Win32 systems by automatic clustering. The crash events, collected from workstations in the UC Berkeley electrical engineering and computer science department, identify the crashed application and DLL, and the time of the crash event. We use these identifying features to augment the crash data with information about usage patte...

Pre-Crash Systems (PCS) integrate the features of active and passive safety systems to reduce both crash and injury severity. Upon detection of an impending collision, PCS can provide an early warning to the driver and activate automatic braking to reduce the crash severity for the subject vehicle. PCS can also activate the seatbelt pretensioners prior to impact. This paper identifies the oppor...

BACKGROUND Many patients with kidney failure "crash" onto dialysis or initiate dialysis in an unplanned fashion. There are varying definitions, but essentially, a patient is labeled as having a crash dialysis start if he or she has little to no care by a nephrologist prior to starting dialysis. A patient is labeled as having an unplanned dialysis start when he or she starts dialysis with a cath...

Meiotic recombination events typically cluster within narrow regions of the genome termed hotspots. A series of recent papers reveals that PRDM9, a C2H2-type zinc-finger protein with histone H3 lysine 4 methyltransferase activity, plays a major role in the specification of hotspots. The zinc fingers that contact DNA in a sequence-dependent manner evolve rapidly and are under positive selection,...

OBJECTIVE To address the predictability of injury from air bag activation by use of crash simulation software. METHODS Using current, validated crash simulation software, the effect of air bag activation on injury risk was assessed for the 6-year-old child, both restrained and unrestrained. Results were compared with those for adult occupants in similar crash scenarios. RESULTS For the unre...

One of the most important and meaningful tasks in traffic safety is to describe how traffic crash risk changes over time. Over the last 20 years, a lot of work has been done on this topic. However, with the recent introduction of latent class models for analyzing crash data, there is a need to examine how this new type of models could be used for longitudinal data analysis. Latent class models ...

This paper presents the approach and methodology of the Large Truck Crash Causation Study (LTCCS), undertaken jointly by the Federal Motor Carrier Safety Administration and the National Highway Traffic Safety Administration. The LTCCS is a study of a nationally-representative sample of serious and fatal heavy truck crashes occurring between 2001 and 2003. The data collected provides a detailed ...

In recent years the development and use of crash prediction models for roadway safety analyses have received substantial attention. These models, also known as Safety Performance Functions (SPFs), relate the expected crash frequency of roadway elements (intersections, road segments, on-ramps) to traffic volumes and other geometric and operational characteristics. A commonly practiced approach f...

The Event Data Recorders (EDRs), now being installed as standard equipment by several automakers, are increasingly being used as an independent measurement of crash severity, which avoids many of the difficulties of traditional crash reconstruction methods. Little has been published however about the accuracy of the data recorded by the current generation of EDRs in a real world collision. Prev...

Software projects collect and deduplicate vastly numerous crash reports from users to fix bugs efficiently. However, most existing automated methods have performance issues during large-scale clustering. We propose a rerankingbased crash report clustering method. Our method is a combination of two earlier methods. By computing similarity used in ReBucket for the crash reports that are highly si...