FastTENET: an accelerated TENET algorithm based on manycore computing in Python.

Summary: TENET reconstructs gene regulatory networks from single-cell RNA sequencing (scRNAseq) data using the transfer entropy (TE), and works successfully on a variety of scRNAseq data. However, TENET is limited by its long computation time for large datasets. To address this limitation, we propose FastTENET, an array-computing version of TENET algorithm optimized for acceleration on manycore processors such as GPUs.

A comparative cadaveric biomechanical study of bilateral FacetFuse transfacet pedicle screws versus bilateral or unilateral pedicle screw-rod construct.

Background: Achieving optimal immediate stability is crucial in lumbar fusion surgeries. Traditionally, four pedicle screws have been utilized to provide posterior stability at the L5-S1 level. However, the use of bilateral transfacet pedicle screws (TFPS) as an alternative construct has shown promising results in terms of biomechanical stability.

Determining the accuracy and suitability of common analytical techniques for sophorolipid biosurfactants.

To determine the performance of a sophorolipid biosurfactant production process, it is important to have accurate and specific analytical techniques in place. Among the most popular are the anthrone assay, gravimetric quantification (hexane:ethyl acetate extraction), and high-performance liquid chromatography (HPLC). The choice of analytical tool varies depending on cost, availability, and ease of use; however, these techniques have never been compared directly against one another.

Impact of delayed listing after initiating kidney transplant evaluation on transplant outcomes.

Objective: Longer end-stage renal disease time has been associated with inferior kidney transplant outcomes. However, the contribution of transplant evaluation is uncertain. We explored the relationship between time from evaluation to listing (ELT) and transplant outcomes.