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https://www.selleckchem.com/products/pterostilbene.html This study will facilitate the better understanding of the milRNA regulation associated with sclerotial development in S. sclerotiorum and even other sclerotia-forming fungi. This work will provide novel insights into the molecular regulations of fungal morphogenesis and the candidate targets of milRNAs used for the sustainable management of plant diseases caused by S. sclerotiorum.Topic modeling refers to a suite of probabilistic algorithms for extracting popular topics from a collection of documents. A common approach involves the use of the Latent Dirichlet Allocation (LDA) algorithm, and, although free implementations are available, their deployment in general requires a certain degree of programming expertise. This paper presents a user-friendly web-based application, specifically designed for the biomedical professional, that supports the entire process of topic modeling and comparative trends analysis of scientific literature. The application was evaluated for its efficacy and usability by intended users with no programming expertise (15 biomedical professionals). Results of evaluation showed a positive acceptance of system functionalities and an overall usability score of 76/100 in the System Usability Score (SUS) scale. This suggests that literature topic modeling can become more popular amongst biomedical professionals via the use of a user-friendly application that fully supports the entire workflow, thus opening new perspectives for literature review and scientific research. "Near miss" events are valuable low-cost learning opportunities in radiation oncology as they do not result in patient harm and are more pervasive than adverse events that do. Near misses vary depending on the presence of a latent error of behavior or process, and the presence of an enabling condition predisposing the patient to harm. These nuanced distinctions across near miss types can elicit different cognitive biases affecti

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