Understanding the Mechanism of Electrochemical CO Capture by Supercapacitive Swing Adsorption.

Carbon dioxide capture underpins an important range of technologies that can help to mitigate climate change. Improved carbon capture technologies that are driven by electrochemistry are under active development, and it was recently found that supercapacitor energy storage devices can reversibly capture and release carbon dioxide. So-called supercapacitive swing adsorption (SSA) has several advantages over traditional carbon dioxide capture technologies such as lower energy consumption and the use of nontoxic materials.

Silver N-heterocyclic biscarbene complexes: Potent inhibitors of thioredoxin reductase with anticancer activity in vitro and in vivo.

Silver N-heterocyclic carbene (NHC) complexes are known to form biscarbene species from monocarbene analogs in protic polar solvents. However, the effect of the respective species of silver NHC complexes on their biological activity against bacteria or cancer cells has not been systematically explored, either in vitro or in vivo. The direct and simple conversion of monocarbene silver N-heterocyclic carbene (NHC) halide complexes (NHC)AgX, (X= Cl, Br) 1a/b - 5a/b to their biscarbene analogues (NHC)2AgX 1c/d - 5c/d is reported.

Defining the Cost of Arthroscopic Rotator Cuff Repair: A Multicenter, Time-Driven Activity-Based Costing and Cost Optimization Investigation.

Background: Rotator cuff repair (RCR) is a frequently performed outpatient orthopaedic surgery, with substantial financial implications for health-care systems. Time-driven activity-based costing (TDABC) is a method for nuanced cost analysis and is a valuable tool for strategic health-care decision-making. The aim of this study was to apply the TDABC methodology to RCR procedures to identify specific avenues to optimize cost-efficiency within the health-care system in 2 critical areas: (1) the reduction of variability in the episode duration, and (2) the standardization of suture anchor acquisition costs.

Precision psychiatry: thinking beyond simple prediction models - enhancing causal predictions.

Making informed clinical decisions based on individualised outcome predictions is the cornerstone of precision psychiatry. Prediction models currently employed in psychiatry rely on algorithms that map a statistical relationship between clinical features (predictors/risk factors) and subsequent clinical outcomes. They rely on associations that overlook the underlying causal structures within the data, including the presence of latent variables, and the evolution of predictors and outcomes over time.

Validity and Inter-Device Reliability of an Artificial Intelligence App for Real-Time Assessment of 505 Change of Direction Tests.

The present study aimed to explore the validity and inter-device reliability of a novel artificial intelligence app (Asstrapp) for real-time measurement of the traditional (tra505) and modified-505 (mod505) change of direction (COD) tests. Twenty-five male Sports Science students (age, 23.5 ± 3.