I explore the macroeconomic implications of borrowers facing both loan-to-value (LTV) and debt-service-to-income (DTI) limits, using an estimated DSGE model. identify when each constraint dominated over period 1984-2019: LTV constraints dominate in contractions, house prices are relatively low – DTI expansions, interest rates high. also find that standards were relaxed during mid-2000s’ boom, l...

When analyzing the multi-site diffusion MRI (dMRI) data, metrics should be harmonized to remove site effect. In this study, we applied combined association test (ComBat), which used regression of covariates with an empirical Bayes framework for based on tensor imaging (DTI), neurite orientation dispersion, and density (NODDI). The results showed that ComBat could harmonize site-related effects ...

Participants: Stephanie von Ahlefeldt (BMWi), Anthony Barker (University of Essex), Alison Brimelow (Patent Office), Graham Bryce (DTI), Chris Clifford (LSE), Eric Deakins (Industry Forum), Andrew Dobbie (DTI), Wilhelm Eschweiler (BMWi), Gerald Frankel (Industry Forum), Wally Ford (DTI), Sir Christopher Foster (RAC Foundation), Jonathan Green (Edison Mission), Christopher Hood (University of Ox...

In this diffusion tensor imaging (DTI) study, the authors investigated white matter integrity in schizophrenia and the relationships between white matter alterations and specific symptoms of the disorder. We compared DTI images of 25 schizophrenia patients and 25 matched healthy controls and performed voxel-wise correlational analyses using the patient's DTI data and their severity scores of po...

We describe a gamma-ray imaging camera (GIC) for active interrogation of explosives being developed by NASAIGSFC and NSWCICarderock. The GIC is based on the Three-dimensional Track Imager (3-DTI) technology developed at GSFC for gamma-ray astrophysics. The 3-DTI, a large volume time-projection chamber, provides accurate, -0.4 mm resolution, 3-D tracking of charged particles. The incident direct...

Diffusion tensor imaging (DTI) is a magnetic resonance technique capable of measuring the magnitude and direction of water molecule diffusion in various tissues. The use of DTI is being expanded to evaluate a variety of spinal cord disorders both for prognostication and to guide therapy. The purpose of this article is to review the literature on spinal cord DTI in both animal models and humans ...

Abstract Studying the interaction between drugs and targets is key step of drug repositioning. Through machine learning methods, we can provide reliable drug-target pairs for (DTI) identification wet-lab experiments improve its efficiency. Previous methods did not combine node attributes relationships target, which limited performance those methods. To this end, propose a prediction method that...

System-generated alerts are ubiquitous in personal computing and, with the proliferation of mobile devices, daily activity. While these interruptions provide timely information, research shows they come at a high cost in terms of increased stress and decreased productivity. This is due to dual-task interference (DTI), a cognitive limitation in which even simple tasks cannot be simultaneously pe...

Background and Aim: Diffusion Tensor Imaging (DTI)-based tractography can help us visualize the spatial relation of fiber tracts to brain lesions. Several factors may interfere with procedure diffusion-based tractography, especially in tumors. The current study aims discuss several solutions improve reconstruction adjacent or inside Illustrative cases are also presented. Methods Materials/Patie...

BACKGROUND AND PURPOSE DTI is a promising technique for imaging of the spinal cord, but the technique has susceptibility-induced artifacts. We evaluated a pulse-triggered DTI sequence with an rFOV technique and coronal acquisition for the assessment of the cervical spinal cord in patients with myelitis at 3T. MATERIALS AND METHODS A rFOV acquisition was established by a noncoplanar applicatio...