Quaternary chalcogenides have gained significant attention in thermoelectric (TE) material research for their high thermoelectric conversion efficiency. The present work investigates the optimisation of the thermoelectric performance of CuNiSnSe utilising the energy filtering effect through the incorporation of CuO into a host matrix. The impact of varying the weight percentage of CuO on the TE properties of the nanocomposite materials was studied and compared with that of pristine CuNiSnSe.
View Article and Find Full Text PDFAim: To evaluate the inhibitory effect of ethanolic extract blackseed, seaweed, and calcium hydroxide intracanal medicament with Enterococcus faecalis biofilm. To study the binding interaction between the active components of blackseed and seaweed against the enterococcal surface protein of () by molecular docking.
Materials And Methods: The ethanolic extracts of blackseed and seaweed were prepared using the Soxhlet apparatus.
In 2018, the International Society for Hip Preservation Surgery (ISHA) initiated a series of Delphi consensus studies to identify the global hip preservation community's current opinion on best practices for different facets of hip preservation surgery. Arthroscopic procedures to treat hip pathologies, such as femoroacetabular impingement syndrome (FAIS) are now established in mainstream orthopaedic practice. This study establishes recommendations for the investigation of patients with suspected FAIS.
View Article and Find Full Text PDFIntroduction: Inefficiencies in the trauma setting are well known and have been further exacerbated by the COVID-19 pandemic among other factors, resulting in national guidance to aid improvements in resource utilisation. This study introduced a novel surgeon-led intervention, a trauma bed in recovery, with the aim of improving trauma theatre efficiency.
Methods: This quality improvement project was conducted using a Plan Do Study Act (PDSA) methodology and comprised multiple cycles to assess theatre performance.
This research introduces an innovative solution addressing the challenge of user authentication in cloud-based systems, emphasizing heightened security and privacy. The proposed system integrates multimodal biometrics, deep learning (Instance-based learning-based DetectNet-(IL-DN), privacy-preserving techniques, and blockchain technology. Motivated by the escalating need for robust authentication methods in the face of evolving cyber threats, the research aims to overcome the struggle between accuracy and user privacy inherent in current authentication methods.
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