Purpose: We present a method that allows one to generate data from nasopharyngoscopy videos into a form suitable for use in radiation treatment planning, as well as for review of the data itself as a 3D object. Methods and Materials: The accurate transfer of data from endoscopic video frames to the planning CT requires an explicit endoscopic video/CT registration. Our approach to accomplishing ...

In order to elucidate the neural mechanisms involved in the perception of the three-dimensional (3D) orientation of a surface, we trained monkeys to discriminate the 3D orientation of a surface from binocular disparity cues using a Go/No-go type delayed-matching-to-sample (DMTS) task and examined the properties of the surface-orientation-selective (SOS) neurons. We recorded 57 SOS neurons from ...

BACKGROUND Rheumatoid arthritis synovial fibroblasts (RASFs) are known to travel via the bloodstream from sites of cartilage destruction to new locations where they reinitiate the destructive processes at distant articular cartilage surfaces. In this study, we examined the role of interleukin (IL)-1-induced cartilage changes and their chemotactic effect on RASF transmigratory capacity. METHOD...

Sensitivity to variations in illumination is a fundamental and challenging problem in face recognition. In this paper, we describe a new method based on symmetric shape-from-shading (SFS) to develop a face recognition system that is robust to changes in illumination. The basic idea of this approach is to use the symmetric SFS algorithm as a tool to obtain a prototype image which is illumination...

Classical shape from shading (SFS) is based on the analysis of the intensity values of a single digital image in order to derive three dimensional information of the depicted scene. It involves the orthographic projection for the transformation from object to image space and has been successfully applied to weakly textured images. In general the illumination conditions must be known, Lambertian...

Docking tools to predict whether and how a small molecule binds to a target can be applied if a structural model of such target is available. The reliability of docking depends, however, on the accuracy of the adopted scoring function (SF). Despite intense research over the years, improving the accuracy of SFs for structure-based binding affinity prediction or virtual screening has proven to be...

Bugs in source files (SFs) may cause software malfunction, inconveniencing users and even leading to catastrophic accidents. Therefore, the bugs SFs should be found fixed quickly. However, from hundreds of candidate SFs, finding buggy is tedious time consuming. To lessen burden on developers, deep learning-based bug localization (DLBL) tools can utilized. Text terms reports play an important ro...

LoRa is one of the promising techniques for enabling Low Power Wide Area Networks (LPWANs) for future Internet-of-Things (IoT) devices. Although LoRa allows flexible adaptations of coverage and data rates, it is subject to intrinsic types of interferences: co-SF interferences where end-devices with the same Spreading Factors (SFs) are subject to collisions, and inter-SF interferences where end-...

OBJECTIVE The aim of our study was to find the relationship of MPV (Mean Platelet Volume) levels and platelet counts as markers of inflammation between simple and complex febrile seizures. MATERIALS & METHODS In this retrospective comparative study, we investigated the recordings of 356 children between 5 months and 6 yr with diagnosis of simple and complex febrile seizure (SFS&CFS) in Amirco...

The sample frequency spectrum (SFS) of DNA sequences from a collection of individuals is a summary statistic that is commonly used for parametric inference in population genetics. Despite the popularity of SFS-based inference methods, little is currently known about the information theoretic limit on the estimation accuracy as a function of sample size. Here, we show that using the SFS to estim...