Lumbar intervertebral disc replacement in Australia: An epidemiological study.

Introduction: Favorable short- and long-term outcomes have been reported for lumbar intervertebral total disc replacement (L-TDR). However, there is little evidence regarding the uptake of L-TDR in practice. The objective of this study was to analyze Australian-based population trends in L-TDR over the past 5 years.

Metacarpal Fracture Fixation with Intramedullary Screws.

Intramedullary screws (IMS) have become a viable option for metacarpal fracture fixation. To further appraise their utility, this study assessed clinical and patient-reported short- and medium-term outcomes of IMS fixation for extra-articular metacarpal fractures. A retrospective cohort study was performed in a series of 32 patients (with a total of 37 fractures) who underwent metacarpal fracture fixation over a 42-month period between January 2020 and July 2023.

Intramedullary Screw Fixation of Proximal Phalangeal Fractures: Short- to Medium-term Outcomes.

Background: Intramedullary screw fixation of phalangeal and metacarpal fractures has gained popularity as a method of providing rigid internal fixation with minimum tendon disturbance, allowing early mobilization and rehabilitation. Despite this, the literature on outcomes using this technique is limited. Thus, the aim of this study was to assess the short-term to medium-term outcomes of intramedullary screw fixation for proximal phalangeal fracture fixation in an Australian setting.

Intramedullary Compression Screw Fixation for Middle Phalangeal Fractures.

Purpose: This study aimed to evaluate short- and medium-term clinical and patient-reported outcomes of intramedullary compression screw fixation for extra-articular middle phalangeal fractures.

Methods: A retrospective study was performed on a series of 20 patients (with a total of 23 fractured digits) who underwent fixation of middle phalangeal fractures between January 2020 and March 2023. The results from this cohort were compared against those for plate and K-wire fixation in the literature.

Wing condition does not negatively impact time budget, enclosure usage, or social bonds in a flock of both full-winged and flight-restrained greater flamingos.

Zoo management techniques for captive birds, such as flight restraint and enclosure type, may affect behavioral performance and are consequently worthy of investigation. Flamingos are amongst the most popular of zoo-housed birds and, as such, research into their captive management and associated behavioral responses are widely applicable to many thousands of individuals. As a highly social species, understanding social bonds and behavior of the individual bird and the flock overall can help inform decisions that support husbandry and population management.

The blending region hybrid framework for the simulation of stochastic reaction-diffusion processes.

The simulation of stochastic reaction-diffusion systems using fine-grained representations can become computationally prohibitive when particle numbers become large. If particle numbers are sufficiently high then it may be possible to ignore stochastic fluctuations and use a more efficient coarse-grained simulation approach. Nevertheless, for multiscale systems which exhibit significant spatial variation in concentration, a coarse-grained approach may not be appropriate throughout the simulation domain.

Transparency and reproducibility in artificial intelligence.

Breakthroughs in artificial intelligence (AI) hold enormous potential as it can automate complex tasks and go even beyond human performance. In their study, McKinney et al. showed the high potential of AI for breast cancer screening.

A semantic trajectory data warehouse for improving nursing productivity.

A Trajectory Data Warehouse is a central repository of large amount of data focusing on moving objects, which have been collected and integrated from multiple sources with spatial and temporal dimensions as the main metrics of analysis. By adding semantic-related contextual information, it is converted to a Semantic Trajectory Data Warehouse. It transforms raw trajectories to valuable information that can be utilized for decision-making purposes in ubiquitous applications.

Machine learning approaches to drug response prediction: challenges and recent progress.

Cancer is a leading cause of death worldwide. Identifying the best treatment using computational models to personalize drug response prediction holds great promise to improve patient's chances of successful recovery. Unfortunately, the computational task of predicting drug response is very challenging, partially due to the limitations of the available data and partially due to algorithmic shortcomings.

CrosstalkNet: A Visualization Tool for Differential Co-expression Networks and Communities.

Variations in physiological conditions can rewire molecular interactions between biological compartments, which can yield novel insights into gain or loss of interactions specific to perturbations of interest. Networks are a promising tool to elucidate intercellular interactions, yet exploration of these large-scale networks remains a challenge due to their high dimensionality. To retrieve and mine interactions, we developed CrosstalkNet, a user friendly, web-based network visualization tool that provides a statistical framework to infer condition-specific interactions coupled with a community detection algorithm for bipartite graphs to identify significantly dense subnetworks.