321. Rooted inequalities in forest education : insights from a students' perspectiveTheresa Klara Loch, Nikolina Mencin, Barbara Öllerer, Vivienne Mack, Nele Römer, 2024, published scientific conference contribution abstract Keywords: women in forestry, forestry, gender equality, forest education
Published in DiRROS: 05.11.2024; Views: 235; Downloads: 59
 Full text (104,92 KB) |
322. |
323. Uneven ground : navigating gender and diversity in the forestry sectorBarbara Öllerer, 2024, published scientific conference contribution abstract Keywords: women in forestry, forestry, gender inequality, barriers, underrepresentation, workforce, qualittative interviews, Austria
Published in DiRROS: 05.11.2024; Views: 203; Downloads: 51
Full text (134,93 KB) |
324. |
325. Editorial : Mechanisms of plant host resistance against virusesRégis L. Corrêa, Marko Petek, Maite F. S. Vaslin, 2024, other scientific articles Keywords: plants, pathogens, plant viruses, resistance, biotechnological tools, CRISPR/Cas9, agriculture, biotechnology
Published in DiRROS: 05.11.2024; Views: 269; Downloads: 81
Full text (282,18 KB)
This document has many files! More... |
326. How a massive open online course ForGEDI can address students' motivations, hesitancies, and obstacles in forestry-related sectorsTodora Rogelja, Ida Wallin, Barbara Öllerer, Theresa Klara Loch, Rattiya S. Lippe, Tara L. Bal, John Boakye-Danquah, Stephen Wyatt, 2024, published scientific conference contribution abstract Keywords: women in forestry, forestry, gender equality, diversity and inclusion, forestry education, future forestry workforce, transformational change, SDGs
Published in DiRROS: 05.11.2024; Views: 185; Downloads: 45
Full text (98,22 KB) |
327. |
328. |
329. |
330. Development of novel digital PCR assays for the rapid quantification of Gram-negative bacteria biomarkers using RUCS algorithmAlexandra Bogožalec Košir, Špela Alič, Viktorija Tomič, Dane Lužnik, Tanja Dreo, Mojca Milavec, 2024, original scientific article Abstract: Rapid and accurate identification of bacterial pathogens is crucial for effective treatment and infection control, particularly in hospital settings. Conventional methods like culture techniques and MALDI-TOF mass spectrometry are often time-consuming and less sensitive. This study addresses the need for faster and more precise diagnostic methods by developing novel digital PCR (dPCR) assays for the rapid quantification of biomarkers from three Gram-negative bacteria: Acinetobacter baumannii, Klebsiella pneumoniae, and Pseudomonas aeruginosa. Utilizing publicly available genomes and the rapid identification of PCR primers for unique core sequences or RUCS algorithm, we designed highly specific dPCR assays. These assays were validated using synthetic DNA, bacterial genomic DNA, and DNA extracted from clinical samples. The developed dPCR methods demonstrated wide linearity, a low limit of detection (approx. 30 copies per reaction), and robust analytical performance with measurement uncertainty below 25 %. The assays showed high repeatability and intermediate precision, with no cross-reactivity observed. Comparison with MALDI-TOF mass spectrometry revealed substantial concordance, highlighting the methods’ suitability for clinical diagnostics. This study underscores the potential of dPCR for rapid and precise quantification of Gram-negative bacterial biomarkers. The developed methods offer significant improvements over existing techniques, providing faster, more accurate, and SI-traceable measurements. These advancements could enhance clinical diagnostics and infection control practices.
Keywords: digital PCR (dPCR), Gram-negative bacteria, pathogen detection, respiratory infections, biomarkers, RUCS algorithm
Published in DiRROS: 05.11.2024; Views: 160; Downloads: 345
Full text (2,31 MB)
This document has many files! More... |
