BACKGROUND Erroneous neutrophil and lymphocyte counts from analysis of feline blood samples were transferred directly into the hospital information system from the ProCyte Dx hematology instrument in our after-hours laboratory. Errors usually were not detected by the users. HYPOTHESIS/OBJECTIVES To quantify the frequency and severity of errors associated with the ProCyte Dx analyzer and to id...

The most critical step for static concurrency analysis of OpenSHMEM is to detect matching unaligned collective synchronization calls within an OpenSHMEM program. Concurrency analysis will be able to detect the regions in the code where two or more OpenSHMEM calls run concurrently and help identify parallel programming errors due to incorrect usage of OpenSHMEM library calls. For the concurrency...

Teaching experience shows that programming is time consuming and can be acquired with substantial practice. Besides, students need to know whether their solutions are correct or incorrect and the root causes of their errors. Thus, teaching programming in a large class requires considerably many teaching assistants, which is costly. More importantly, a communication means that can support studen...

The problem of neural network vulnerability has been the subject scientific research and experiments for several years. Adversarial attacks are one ways to “trick” a network, force it make incorrect classification decisions. very possibility adversarial attack lies in peculiarities machine learning networks. article shows how properties networks become source problems limitations their use. mat...

We present a study of Polish-English machine translation, where the impact of various types of errors on cohesion and comprehensibility of the translations were investigated. The following phenomena are in focus: (i) The most common errors produced by current state-of-the-art MT systems for Polish-English MT. (ii) The effect of different types of errors on text cohesion. (iii) The effect of dif...

Hardware-software covalidation involves the cosimulation of a system description with a functional test sequence. Functional test generation is heavily dependent on manual interaction, making it a time-consuming and expensive process. We present an automatic test generation technique to detect design errors in hardwaresoftware systems. The design errors targeted are those caused by incorrect sy...

Time-series–cross-section (TSCS) data are characterized by having repeated observations over time on some set of units, such as states or nations. TSCS data typically display both contemporaneous correlation across units and unit level heteroskedasity making inference from standard errors produced by ordinary least squares incorrect. Panel-corrected standard errors (PCSE) account for these thes...

Soft errors are adding another dimension to the present day architecture design space. Different techniques like redundant multithreading are evolved for handling them. The Memory In Processor (MIP) architecture provides fine grain processor memory integration. This integration provides efficient support for redundant multithreading within a functional unit. Detecting errors in intermediate sta...

Patients undergoing oesophagectomy often have nutritional needs at the time of diagnosis and in the post-operative period. The aim of this article is to review the current literature and report on the author’s experience of routine feeding jejunostomy insertion following oesophagectomy. The records of forty-eight consecutive patients undergoing oesphagectomy under the author’s care were reviewe...