Dynamic changes and clinic significance of serum high mobility group box 1 in patients with total hip arthroplasty.

Background: Deeper understanding on the risk factors and seeking potential predicted biomarkers for prognosis of total hip arthroplasty (THA) patients are of great significance. Limited researches focused the correlation between high mobility group box protein-1 (HMGB1) and the prognosis of THA patients.

Objective: The objective of this study was to investigate the role of HMGB1 and inflammatory factors in patients underwent total hip arthroplasty (THA).

Multiperspective Light Field Reconstruction Method via Transfer Reinforcement Learning.

Compared with traditional imaging, the light field contains more comprehensive image information and higher image quality. However, the available data for light field reconstruction are limited, and the repeated calculation of data seriously affects the accuracy and the real-time performance of multiperspective light field reconstruction. To solve the problems, this paper proposes a multiperspective light field reconstruction method based on transfer reinforcement learning.

Evaluation of a combined posterior lateral and anteromedial approach in the treatment of terrible triad of the elbow: A retrospective study.

Background: This retrospective study aims to investigate the efficacy and safety of a combined posterior lateral and anteromedial approach in the treatment of terrible triad of the elbow (TTE).

Methods: TTE patients who received a combination of posterior lateral and anteromedial approach or other conservative treatments were included in the present study. The postoperative functions of the elbow and the severity of traumatic arthritis were assessed using the Mayo Elbow Performance Score (MEPS) and visual analog scale (VAS).

A Multi-Atlas Labeling Approach for Identifying Subject-Specific Functional Regions of Interest.

The functional region of interest (fROI) approach has increasingly become a favored methodology in functional magnetic resonance imaging (fMRI) because it can circumvent inter-subject anatomical and functional variability, and thus increase the sensitivity and functional resolution of fMRI analyses. The standard fROI method requires human experts to meticulously examine and identify subject-specific fROIs within activation clusters. This process is time-consuming and heavily dependent on experts' knowledge.

Mapping Individual Brain Networks Using Statistical Similarity in Regional Morphology from MRI.

Representing brain morphology as a network has the advantage that the regional morphology of 'isolated' structures can be described statistically based on graph theory. However, very few studies have investigated brain morphology from the holistic perspective of complex networks, particularly in individual brains. We proposed a new network framework for individual brain morphology.