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http://dx.doi.org/10.3389/fneur.2018.00051 | DOI Listing |
Aesthetic Plast Surg
January 2025
Ocean Plastic Surgery Center, Los Alamitos, CA, USA.
Level of Evidence V This journal requires that authors assign a level of evidence to each article. For a full description of these Evidence-Based Medicine ratings, please refer to the Table of Contents or the online Instructions to Authors www.springer.
View Article and Find Full Text PDFJ Vis Exp
December 2024
Institute for Synthetic Microbiology, Heinrich Heine University Düsseldorf; Department of Biochemistry and Molecular Biology, Michigan State University.
With the increasing demand for sustainable biotechnologies, mixed consortia containing a phototrophic microbe and heterotrophic partner species are being explored as a method for solar-driven bioproduction. One approach involves the use of CO2-fixing cyanobacteria that secrete organic carbon to support the metabolism of a co-cultivated heterotroph, which in turn transforms the carbon into higher-value goods or services. In this protocol, a technical description to assist the experimentalist in the establishment of a co-culture combining a sucrose-secreting cyanobacterial strain with a fungal partner(s), as represented by model yeast species, is provided.
View Article and Find Full Text PDFJ Thorac Cardiovasc Surg
January 2025
Department of Surgery, Duke University, Durham, NC; National Clinician Scholars Program, Duke University and Durham Veterans Affairs Medical Center, Durham, NC. Electronic address:
J Anesth
January 2025
Department of Anesthesiology, Fukushima Medical University School of Medicine, 1 Hikarigaoka, Fukushima City, Fukushima, 960-1295, Japan.
Brain Behav Immun
December 2024
Scientific Initiative for Neuropsychiatric and Psychopharmacological Studies (SINAPS), University Psychiatric Hospital Campus Duffel (UPCD), Rooienberg 19, 2570 Duffel, Belgium; Collaborative Antwerp Psychiatric Research Institute (CAPRI), University of Antwerp, Campus Drie Eiken, S.003, Universiteitsplein 1, 2610 Wilrijk, Belgium.
In a letter critiquing our manuscript, Takefuji highlights general pitfalls in machine learning, without directly engaging with our study. The comments provide generic advice rather than a specific critique of our methods or findings. Despite raising important topics, the concerns reflect standard risks in machine learning, which we were aware of and explicitly addressed in our analyses.
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