Abstract Premise Despite the availability of several plant trait databases, significant traits remain undocumented for a substantial number of species. To address this issue, the current study explored digital text from the Global Biodiversity Information Facility (GBIF) as an innovative source of plant trait information and evaluated its capacity to ...
Takuro Katori, Michio Oguro
wiley +1 more source
Sentiment Analysis of Acceptance TVET Online Courses on the Skill Academy App from Google Play: Leveraging Text Mining with Comparison Machine Learning Model. [PDF]
Darmono D +8 more
europepmc +1 more source
Abstract This study presents the first detailed description of bioerosion traces produced by insects in bones from the Santa Cruz Sequence (early Carnian, Santa Maria Supersequence, Brazil). An array of traces is reported, consisting of notches, a tube, trails of grooves attributed to the ichnotaxon Osteocallis mandibulus and ornamented depressions ...
Lucca S. Cunha +2 more
wiley +1 more source
This study delineates the early sex differentiation timeline in the northern snakehead (Channa argus). These findings provide a foundation for future sex‐control breeding in this economically important species. ABSTRACT The northern snakehead (Channa argus) is an economically important aquaculture species in China.
Chaonan Sun +6 more
wiley +1 more source
Shared Decision-Making in the Choice of Renal Replacement Therapy: A Comparative Text Mining Analysis of Physicians and Nurses. [PDF]
Iida M +5 more
europepmc +1 more source
AR: An Artificial Intelligence‐Driven Fluorescent Reporter System for Gene Editing Evaluation
The AR platform integrates an enhanced dual‐fluorescence reporter with the EasyReporter AI pipeline for efficient gene‐editing evaluation. It enables automated, high‐throughput quantification and intelligent interpretation across diverse gene‐editing systems and cellular contexts. The gene‐editing elements were created with BioGDP.com.
Mingming Xue +17 more
wiley +1 more source
Cognitive differences and ethical concerns in artificial intelligence in healthcare: a comparative text mining study of public and healthcare professional discussions. [PDF]
Cao Y +6 more
europepmc +1 more source
Abstract Medical education must balance foundational science with clinical relevance. Increasing emphasis on standardized assessments has led to prioritization of “high‐yield” conditions—those most likely to be assessed. Subsequently, educators and students often prioritize these conditions.
Kathryn Veazey, Oheneba Boadum
wiley +1 more source
Emerging risk identification in the food chain using text mining-supported monitoring of food safety news: insights from 2022 to 2023. [PDF]
Farkas Z +9 more
europepmc +1 more source
Framing anatomical variation in anatomy textbooks: Language use and its implications
Text mining of anatomy textbooks shows “abnormal” is the most frequently used descriptor for anatomical variation, reinforcing a binary framing. We advocate for explicit teaching of variation as a spectrum, with consistent, neutral terminology and contextualization (prevalence and functional relevance) to support a more nuanced understanding of ...
An‐Di Yim +2 more
wiley +1 more source

