Publications by authors named "M T Hamann"
Article Synopsis
- * Elevated CO levels, nutrients, and temperatures lead to harmful algal blooms (HABs), which can negatively impact water quality, ecosystems, and public health due to the production of toxins.
- * The review discusses the dual role of algal blooms in carbon fixation and their complex metabolites, highlights advancements in understanding these structures, and examines strategies for managing and controlling HABs.
Article Synopsis
- Researchers used computer predictions to design antiviral compounds targeting specific proteins (Nsps) in the SARS-CoV-2 virus responsible for mRNA maturation and immune evasion.
- The compound Chromenephenylmethanone-1 (CPM-1), selected for its high specificity, was synthesized and tested, showing impressive results with 98.9% inhibition of the virus and no harmful effects on cells.
- This study highlights the effectiveness of computational modeling in discovering and developing new antiviral drugs against COVID-19.
Purpose: To analyze complications and potential risk factors associated with immediate prepectoral direct-to-implant breast reconstruction (DTIBR).
Methods: 295 patients (326 operated breasts) with DTIBR between March 2021 and December 2023 were included in this prospective study. Postoperative complications (postoperative bleeding, seroma, infection, necrosis, wound dehiscence, implant exchange/loss) were analyzed for potential risk factors by descriptive and logistic regression analyses.
Purpose: Intracranial hemorrhage (ICH) is a life-threatening condition requiring rapid diagnostic and therapeutic action. This study evaluates whether Artificial intelligence (AI) can provide high-quality ICH diagnostics and turnaround times suitable for routine radiological practice.
Methods: A convolutional neural network (CNN) was trained and validated to detect ICHs on DICOM images of cranial CT (CCT) scans, utilizing about 674,000 individually labeled slices.
We report here the orchestration of molecular ion networking (MoIN) and a set of computationally assisted structural elucidation approaches in the discovery and assignment of a new class of rearranged 4,5--abietane diterpenoids including serra A (), which possesses an unusual 6/6/5/5 fused-ring skeleton system, together with two previously unreported diterpenoids serras B-C (-) and five known compounds were isolated from (). The structures were elucidated by spectroscopic analysis in conjunction with computationally assisted structure elucidation tools. , serras A-C (-) bind well to PXR, suggesting their potential role in reducing inflammation.
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