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BACKGROUND: High-throughput gene expression profiling technologies generating a wealth of data, are increasingly used for characterization of tumor biopsies for clinical trials. By applying machine learning algorithms to such clinically documented data set ...
Even though most data races are harmless, the harmful ones are at the heart of some of the worst concurrency bugs. Eliminating all data races from programs is impractical (e.g., system performance could suffer severely), yet spotting just the harmful ones ...
Future emerging technologies in upper limb neuroprosthetic devices will require decoding and executing the user's intended movement. Previous studies, using invasive and non-invasive brain signals, have shown promising results in decoding movement directio ...
In multiple testing, a variety of control metrics have been introduced such as the family-wise error rate (FWER), the False Discovery Rate (FDR), False Exceedence Rate (FER), etc. We found a way to embed these metrics into a continuous family of control me ...
Since several decades, the physicians are able to access hollow organs with endoscopic methods, which serve both as diagnostic and surgical means in a wide range of disciplines of the modern medicine (e.g. urology, pneumology, gastroenterology). Unfortunat ...
In Ouagadougou and in many similar Sahelian cities, urban agriculture uses very often polluted water for irrigation of vegetables, including those that are likely to be eaten uncooked. As the pathogenic germs can survive long enough in water, soil and plan ...
Data on adverse events to antiretroviral treatment have been recorded in clinical trials, post-marketing analyses, and anecdotal reports. Such data might not be an up-to-date or comprehensive assessment of all possible treatment combinations defined as pot ...
