Task-based assessment of resolution properties of CT images with a new index using deep convolutional neural network.

In this study, we propose a method for obtaining a new index to evaluate the resolution properties of computed tomography (CT) images in a task-based manner. This method applies a deep convolutional neural network (DCNN) machine learning system trained on CT images with known modulation transfer function (MTF) values to output an index representing the resolution properties of the input CT image [i.e.

First case of bacteremia caused by Cetobacterium somerae following necrotizing cholecystitis.

Cetobacterium somerae, a gram-negative anaerobic rod, first identified in the feces of children with autism, also colonize freshwater fish intestinal tract. However there have been no reports of human C. somerae infection.

A simple and rapid method for quantifying aconitines and their metabolites in whole blood by modified QuEChERS and liquid chromatography/tandem mass spectrometry (LC/MS/MS).

Aconitum contains highly toxic alkaloids such as aconitine, hypaconitine, jesaconitine, and mesaconitine. Since Aconitum ingestion causes fatal intoxication, it is important to analyze aconitines and their metabolites in the blood. In forensic toxicology, postmortem drug redistribution is known as one factor that would hamper accurate evaluation of concentrations.

Development of a Screening Test for the Early Identification of Japanese Children with Difficulties Learning English: A Preliminary Study.

Objectives: In Japan, there is no established method to assess the ability to read and write in English. To address this problem, we sought to develop a screening test for the early detection of students who show difficulties in reading and writing in English.

Methods: The participants were 425 fifth- and sixth-grade elementary school students and 526 first- through third-grade junior high school students.