Exploring the introduction of remote external clinical teaching visits into Australian general practice.

Background And Objectives: The COVID-19 pandemic changed the way education was delivered. In Australian general practice training, external clinical teaching visits (ECTVs) had to be done remotely. This research explored that phenomenon from the point of view of the participants to answer questions about feasibility, acceptability and effectiveness.

Dynamic Creation of a Local Acid-like Environment for Hydrogen Evolution Reaction in Natural Seawater.

Electrolysis of natural seawater driven by renewable energy is practically attractive for green hydrogen production. However, because precipitation initiated by an increase in local pH near to the cathode deactivates catalysts or blocks electrolyzer channels, limited catalysts are capable of operating with untreated, natural seawater (., pH 8.

Selective Oxidation of Polyesters via PdCu-TiO Photocatalysts in Flow.

Catalytic upcycling of plastic wastes offers a sustainable circular economy. Selective conversion of the most widely used polyester, polyethylene terephthalate (PET), under ambient conditions is practically attractive because of low energy consumption and carbon footprint. Here, we report selective, aerobic conversion of PET in a flow reactor using TiO photocatalyst modified with atomic Pd and metallic PdCu (PdCu-TiO) under ambient conditions.

Cosmic-Ray Radiation Effects on Ibuprofen Tablet Formulation Inside and Outside of the International Space Station.

In extreme environments people will have different needs for medicine(s), making it crucial to understand how such environments affect drug efficacy. Ibuprofen, commonly used in tablet formulation on Earth, could fail in space despite standard pharmaceutical packaging. We introduce the concept of 'space medicines', where solid-dosage forms protect the pharmaceutical from accelerated degradation in spaceflight.

Machine Learning Big Data Set Analysis Reveals C-C Electro-Coupling Mechanism.

Carbon-carbon (C-C) coupling is essential in the electrocatalytic reduction of CO for the production of green chemicals. However, due to the complexity of the reaction network, there remains controversy regarding the underlying reaction mechanisms and the optimal direction for catalyst material design. Here, we present a global perspective to establish a comprehensive data set encompassing all C-C coupling precursors and catalytic active site compositions to explore the reaction mechanisms and screen catalysts big data set analysis.