The effects of in vivo treatment with anti-Qa-2 mAbs on in vivo and in vitro parameters of T cell immunity have been examined. Two anti-Qa-2 mAbs of the same isotype and with similar avidities but directed against distinct epitopes of the same Qa-2 molecules were studied. mAb 1-1-2 was found to induce rapid T cell depletion, with maximal effect observed within 2-3 d, while administration of mAb...

The investigation presented in this paper is a novel method in question answering (QA) that enables a QA system to gain performance through reuse of information in the answer to one question to answer another related question. Our analysis shows that a pair of question in a general open domain QA can have embedding relation through their mentions of noun phrase expressions. We present methods f...

Intensity-modulated radiation therapy (IMRT) quality assurance (QA) is often performed using a 2D device and compares measured and computed fluence maps to determine if a field passes or fails certain dose and position criteria. The effects of a measured deviation to the 3D patient spatial dosimetry and dose volume histogram (DVH) are largely unknown because they cannot be analyzed using commer...

Quality assurance (QA) of the multileaf collimator (MLC) is a critical step for the delivery of intensity modulated radiation therapy treatment plan. While QA procedures for motor-driven MLC have been published extensively, those for binary MLCs such as the one used for helical tomotherapy have not been presented in the literature, as this is still a fairly new technology. In this study, seven ...

This paper describes an on-going research for a practical question answering system for a home agent robot. Because the main concern of the QA system for the home robot is the precision, rather than coverage (No answer is better than wrong answers), our approach is try to achieve high accuracy in QA. We restrict the question domains and extract answers from the pre-selected, semi-structured doc...

Recent research shows that Transformer-based language models (LMs) store considerable factual knowledge from the unstructured text datasets on which they are pre-trained. The existence and amount of such have been investigated by probing pre-trained Transformers to answer questions without accessing any external context or (also called closed-book question answering (QA)). However, this is spre...