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http://dx.doi.org/10.1021/acs.est.4c07216 | DOI Listing |
Circ Cardiovasc Interv
September 2025
Keele Cardiovascular Research Group, Keele University, United Kingdom (M.A.M., R.B.).
Background: Evidence informing clinical guidelines assumes that all transcatheter aortic valve implantation (TAVI) devices have similar effectiveness, in other words, displaying a class effect across TAVI valves. We aimed to assess the comparative effectiveness of different TAVI platforms relative to other TAVI counterparts or surgical aortic valve replacement (SAVR).
Methods: MEDLINE/Embase/CENTRAL were searched from inception until April 2025, for randomized controlled trials comparing outcomes with different commercially available TAVI devices relative to other TAVI counterparts or SAVR.
Philos Trans A Math Phys Eng Sci
September 2025
School of Physics, Engineering & Technology, University of York, York, UK.
Microscopic swimmers, such as bacteria and archaea, are paradigmatic examples of active matter systems. The study of these systems has given rise to novel concepts such as rectification of bacterial swimmers, in which microstructures can passively separate swimmers from non-swimming, inert particles. Many bacteria and archaea swim using rotary molecular motors to drive helical propellers called flagella or archaella.
View Article and Find Full Text PDFACS Sens
September 2025
Institute of Applied Mechanics, National Taiwan University, Taipei 106, Taiwan.
In recent AI-driven disease diagnosis, the success of models has depended mainly on extensive data sets and advanced algorithms. However, creating traditional data sets for rare or emerging diseases presents significant challenges. To address this issue, this study introduces a direct-self-attention Wasserstein generative adversarial network (DSAWGAN) designed to improve diagnostic capabilities in infectious diseases with limited data availability.
View Article and Find Full Text PDFJ Midwifery Womens Health
September 2025
General Education Department Chair, Midwives College of Utah, Salt Lake City, Utah.
Applications driven by large language models (LLMs) are reshaping higher education by offering innovative tools that enhance learning, streamline administrative tasks, and support scholarly work. However, their integration into education institutions raises ethical concerns related to bias, misinformation, and academic integrity, necessitating thoughtful institutional responses. This article explores the evolving role of LLMs in midwifery higher education, providing historical context, key capabilities, and ethical considerations.
View Article and Find Full Text PDFAdv Mater
September 2025
Department of Materials Science & Engineering, Kyung Hee University, Yongin, 17104, Republic of Korea.
Memtransistors are active analog memory devices utilizing ionic memristive materials as channel layers. Since their introduction, the term "memtransistor" has widely been adopted for transistors exhibiting nonvolatile memory characteristics. Currently, memtransistor devices possessing both transistor on/off functionality and nonvolatile memory characteristics include ferroelectric field-effect transistors (FeFETs) and charge-trap flash (floating gate), yet ionic memtransistors have not matched their performance.
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