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Diuretics for preventing and treating acute kidney injury.
Cochrane Database Syst Rev
January 2025
Department of Psychiatry, Soseikai General Hospital, Kyoto, Japan.
Background: Acute kidney injury (AKI) is a well-known complication of critical illnesses, significantly affecting morbidity and the risk of death. Diuretics are widely used to ameliorate excess fluid accumulation and oliguria associated with AKI. Their popularity stems from their ability to reduce the energy demands of renal tubular cells by inhibiting transporters and flushing out intratubular casts.
View Article and Find Full Text PDFHybrid additive manufacturing for Zn-Mg casting for biomedical application.
In Vitro Model
December 2024
Department of Industrial and Manufacturing Engineering, Pennsylvania State University, State College, University Park, PA USA.
Zinc (Zn) and its alloys have been the focus of recent materials and manufacturing research for orthopaedic implants due to their favorable characteristics including desirable mechanical strength, biodegradability, and biocompatibility. In this research, a novel process involving additive manufacturing (AM) augmented casting was employed to fabricate zinc-magnesium (Zn-0.8 Mg) artifacts with surface lattices composed of triply periodic minimal surfaces (TPMS), specifically gyroid.
View Article and Find Full Text PDFCross-Platform Ecological Momentary Assessment App (JTrack-EMA+): Development and Usability Study.
J Med Internet Res
January 2025
Research Centre Jülich, Institute of Neuroscience and Medicine, Brain and Behaviour (INM-7), Jülich, Germany.
Background: Traditional in-clinic methods of collecting self-reported information are costly, time-consuming, subjective, and often limited in the quality and quantity of observation. However, smartphone-based ecological momentary assessments (EMAs) provide complementary information to in-clinic visits by collecting real-time, frequent, and longitudinal data that are ecologically valid. While these methods are promising, they are often prone to various technical obstacles.
View Article and Find Full Text PDFImproving the generalization of protein expression models with mechanistic sequence information.
Nucleic Acids Res
January 2025
School of Biological Sciences, University of Edinburgh, Edinburgh, EH9 3JH, United Kingdom.
The growing demand for biological products drives many efforts to maximize expression of heterologous proteins. Advances in high-throughput sequencing can produce data suitable for building sequence-to-expression models with machine learning. The most accurate models have been trained on one-hot encodings, a mechanism-agnostic representation of nucleotide sequences.
View Article and Find Full Text PDFA Comparison of the Accuracy of Two Non-dental 3D Printers and a Standard Dental 3D Printer for Printing Dental Models: An In Vitro 3D Analysis.
Cureus
December 2024
Workman School of Dental Medicine, High Point University, High Point, USA.
Background: While the majority of dentists and lab techs recommend dental-specific desktop printers, many of them use cheaper, more affordable 3D printers in their practice. The study aimed to compare the accuracy of two commercial non-dental stereolithography (SLA) 3D printers with a dental 3D printer for diagnostic dental casts. Methods: A prototype stereolithographic (Standard Triangle/Tessellation Language (STL)) model of a dentoform was used as a master model to be printed by three 3D printers (n=10 for each printer).
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