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Premise Of The Study: Small herbaria represent a significant portion of herbaria in the United States, but many are not digitizing their collections.
Methods: At the Arkansas State University Herbarium (STAR), we have created a viable workflow to help small herbaria begin the digitization process, including suggestions for publishing data on the Internet. We calculated hourly rates of each phase of the digitization process. We also mapped accessions at the county level to determine geographic strengths in the collection.
Results: All 17,678 accessioned flowering plant specimens at STAR are imaged, databased in Specify, and available electronically on the herbarium's website. Students imaged the specimens at a mean rate of 145/h. We found differences in databasing rates between the graduate student leading the project (47/h) and undergraduate assistants (25/h). The majority of specimens at STAR were collected within the counties neighboring the institution.
Discussion: With this workflow, we estimate that one person can digitize a 20,000-specimen collection in less than 2.5 yr by working only 10 h/wk. Because STAR is a small herbarium with limited resources, the application of the workflow described should assist curators of similar-sized collections as they contemplate and undertake the digitization process.
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http://dx.doi.org/10.3732/apps.1600125 | DOI Listing |
J Imaging Inform Med
September 2025
Department of Diagnostic, Interventional and Pediatric Radiology (DIPR), Inselspital, Bern University Hospital and University of Bern, Bern, Switzerland.
Large language models (LLMs) have been successfully used for data extraction from free-text radiology reports. Most current studies were conducted with LLMs accessed via an application programming interface (API). We evaluated the feasibility of using open-source LLMs, deployed on limited local hardware resources for data extraction from free-text mammography reports, using a common data element (CDE)-based structure.
View Article and Find Full Text PDFNature
September 2025
Los Alamos National Laboratory, Los Alamos, NM, USA.
The Perseverance rover has explored and sampled igneous and sedimentary rocks within Jezero Crater to characterize early Martian geological processes and habitability and search for potential biosignatures. Upon entering Neretva Vallis, on Jezero Crater's western edge, Perseverance investigated distinctive mudstone and conglomerate outcrops of the Bright Angel formation. Here we report a detailed geological, petrographic and geochemical survey of these rocks and show that organic-carbon-bearing mudstones in the Bright Angel formation contain submillimetre-scale nodules and millimetre-scale reaction fronts enriched in ferrous iron phosphate and sulfide minerals, likely vivianite and greigite, respectively.
View Article and Find Full Text PDFAesthetic Plast Surg
September 2025
Department of Plastic and Cosmetic Surgery, Tongji Hospital, School of Medicine, Tongji University, No.389 Xincun Road, Shanghai, 200092, China.
Background: The integration of digital tools in aesthetic medicine has enhanced the precision of facial feature analysis. Using concepts like the Golden Ratio, these technologies enable more objective assessments of facial proportions and symmetry. The beauty scanner-face analyzer (BS-FA) app offers a digital approach to evaluate geometric proportions and facial alignment, providing valuable data for preoperative planning in plastic surgery and aesthetic treatments.
View Article and Find Full Text PDFSci Justice
September 2025
Centre international de criminologie comparée, Canada; École de criminologie, Université de Montréal, Canada.
Technology's rapid evolution has made digital traces a common part of our lives, holding significant value for investigations and legal cases across various national jurisdictions. However, law enforcement and judicial systems often struggle to adapt to these changes, resulting in possible misinterpretations of digital evidence in criminal trials. Drawing on insights from a qualitative analysis of a terrorism-related court case, this research aims to gain a deeper understanding of the fundamental challenges of decision-making in digital forensics and how they can impact a criminal case.
View Article and Find Full Text PDFSci Justice
September 2025
Norwegian Fire and Rescue Academy, Erling Johannessens vei 1, 9441 Fjelldal, Norway.
Digital evidence plays a critical role in solving crimes, making its quality essential. This study examines the implementation of a structured, checklist-based peer review process for technical analysis reports within digital forensic units of the Norwegian Police. It incorporates two data collections: a qualitative study based on interviews following a trial implementation, and a quantitative survey assessing peer review practices one year after the trial.
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