Changes in Cerebral Hemodynamic Among Patients With Schizophrenia or Bipolar Disorder Receiving Electroconvulsive Therapy: A Task-Related Functional Near-Infrared Spectroscopy Study.

There remains a scarcity of studies to evaluate the treatment effect of electroconvulsive therapy (ECT). Functional near-infrared spectroscopy (fNIRS) offers a cost-effective method to measure cerebral hemodynamics. This study used fNIRS to evaluate the effect of ECT in patients suffering from schizophrenia or bipolar disorder (manic phase).

Accelerating computational fluid dynamics simulation of post-combustion carbon capture modeling with MeshGraphNets.

Packed columns are commonly used in post-combustion processes to capture CO emissions by providing enhanced contact area between a CO-laden gas and CO-absorbing solvent. To study and optimize solvent-based post-combustion carbon capture systems (CCSs), computational fluid dynamics (CFD) can be used to model the liquid-gas countercurrent flow hydrodynamics in these columns and derive key determinants of CO-capture efficiency. However, the large design space of these systems hinders the application of CFD for design optimization due to its high computational cost.

Engineered antigen-specific T regulatory cells suppress autoreactivity to the anti-glomerular basement membrane disease antigen.

Anti-glomerular basement membrane (anti-GBM) disease is accompanied by insufficient antigen-specific T regulatory cells (Tregs) and clonally expanded antigen-specific T conventional cells (Tconvs). In particular, this applied to the immunodominant T cell auto- epitope of type IV collagen, α3(IV)NC1135-145 , presented by HLA-DR15. Here, we investigated whether Tregs engineered to express GBM-T cell receptors (TCR) specific for α3(IV)NC1135- 145 better suppress autoimmunity.

The impact of antimicrobial stewardship ward rounds on antimicrobial use and predictors of advice, uptake, and outcomes.

Objective: To identify the impact of introducing antimicrobial stewardship (AMS) ward rounds.

Methods: We used an interrupted time-series approach to investigate the impact of implementing AMS ward rounds with in-person feedback from a multidisciplinary team in Hospital-1, also comparing to Hospital-2 in the same city where AMS ward rounds were not yet implemented. Regression models were used to identify predictors of advice given and of whether advice was followed, and associations between advice uptake and length of stay.

Investigating the key principles in two-step heterogeneous transfer learning for early laryngeal cancer identification.

Data scarcity in medical images makes transfer learning a common approach in computer-aided diagnosis. Some disease classification tasks can rely on large homogeneous public datasets to train the transferred model, while others cannot, i.e.