Topological crystalline insulators (TCIs) are interesting for their topological surface states, which hold great promise for scattering-free transport channels and fault-tolerant quantum computing. A promising TCI is SnTe. However, Sn-vacancies form in SnTe, causing a high hole density, hindering topological transport from the surface being measured. This issue could be relieved by using nanowires with a high surface-to-volume ratio. Furthermore, SnTe can be alloyed with Pb reducing the Sn-vacancies while maintaining its topological phase. Here we present the catalyst-free growth of monocrystalline PbSnTe in molecular beam epitaxy. By the addition of a pre-deposition stage before the growth, we have control over the nucleation phase and thereby increase the nanowire yield. This facilitates tuning the nanowire aspect ratio by a factor of four by varying the growth parameters. These results allow us to grow specific morphologies for future transport experiments to probe the topological surface states in a PbSnTe-based platform.
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http://dx.doi.org/10.1088/1361-6528/ad47c8 | DOI Listing |
Exp Ther Med
February 2025
Oncology Department, Princess Noorah Oncology Center, King Abdul Aziz Medical City, Ministry of National Guard-Health Affairs, King Abdullah International Medical Research Centre, College of Medicine, King Saud bin Abdulaziz University for Health Sciences, Makkah-Jeddah Highway Road, Jeddah 22384, Saudi Arabia.
The COVID-19 pandemic has had a global impact, with >771 million confirmed cases and 6 million deaths reported by October 2023. Cancer patients, due to their immunosuppressed status, face an increased infection risk and higher COVID-19 complications. The present study aimed to assess clinical outcomes in COVID-19-infected cancer patients, focusing on mortality rates and other aspects, providing valuable insight for better protection and outcomes.
View Article and Find Full Text PDFNMR Biomed
February 2025
Department of Radiology, The Second Affiliated Hospital, Zhejiang University School of Medicine, Hangzhou, China.
Susceptibility-weighted imaging (SWI) has been widely used in clinical contexts, in which the speed of acquisition is frequently a critical issue. In this study, we aim to test the feasibility of a deep learning (DL)-based reconstruction method for accelerating SWI acquisition in clinical settings. A total of 61 subjects were consecutively enrolled.
View Article and Find Full Text PDFRev Paul Pediatr
December 2024
Universidade Federal do Paraná, Curitiba, PR, Brazil.
Objective: To conduct a systematic review and meta-analysis to verify the association of aspects of sports practice with health risk behaviors in adolescents.
Data Source: A systematic search was conducted of electronic manuscripts from the United States National Library of Medicine (PubMed)/ Medical Literature Analysis and Retrieval System Online (MEDLINE), Web of Science, Science Direct, and Scientific Electronic Library Online (SciELO) published from January 2015 to December 2022. Studies examining the association between sport and health risk behaviors in adolescents aged 11 to 19 years were included.
Hum Vaccin Immunother
December 2025
Department of Clinical Laboratory, Yan'an University Affiliated Hospital, Yan'an, Shaanxi, China.
The global burden of cancer continues to grow, posing a significant public health challenge. Although cancer immunotherapy has shown significant efficacy, the response rate is not high. Therefore, the objective of our research was to identify the latest research trends and hotspots on biomarkers from 1993 to 2023.
View Article and Find Full Text PDFSensors (Basel)
December 2024
Library, Panjin Campus of Dalian University of Technology, Panjin 124000, China.
Book localization is crucial for the development of intelligent book inventory systems, where the high-precision detection of book spines is a critical requirement. However, the varying tilt angles and diverse aspect ratios of books on library shelves often reduce the effectiveness of conventional object detection algorithms. To address these challenges, this study proposes an enhanced oriented R-CNN algorithm for book spine detection.
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