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Dragonfly larvae rearing: experimental insights and best practices.
Environ Entomol
January 2025
Department of Biology and Ecology, Faculty of Science, University of Ostrava, Ostrava, Czech Republic.
Understanding and optimizing rearing conditions for dragonfly larvae is crucial for ecological research and conservation efforts, yet optimal rearing conditions and general rearing practices are lacking. In this study, we investigated the effect of temperature, amount of oxygen in water, presence of (artificial) plants, and age of eggs on hatchability, survival, and development of dragonfly larvae using the model species Sympetrum striolatum. We conducted three independent experiments and assessed variability between egg clutches of individual females, as well as the occurrence of cannibalism among larvae.
View Article and Find Full Text PDFSurgical outcomes, survival and prognostic factors in a cohort of lung cancer patients operated at the University of Chile Clinical Hospital.
Medwave
January 2025
Departamento de Cirugía, Hospital Clínico de la Universidad de Chile, Chile.
Introduction: Lung cancer is the leading cause of death by cancer worldwide and has a high lethality. The best treatment for patients with localized disease is anatomical surgical resection, granting good average survival in the long term. We did not find Chilean studies focusing on complications, long term survival or potential association with pathological or clinical factors.
View Article and Find Full Text PDFA comparison of CXR-CAD software to radiologists in identifying COVID-19 in individuals evaluated for Sars CoV-2 infection in Malawi and Zambia.
PLOS Digit Health
January 2025
FIND, Geneva, Switzerland.
AI based software, including computer aided detection software for chest radiographs (CXR-CAD), was developed during the pandemic to improve COVID-19 case finding and triage. In high burden TB countries, the use of highly portable CXR and computer aided detection software has been adopted more broadly to improve the screening and triage of individuals for TB, but there is little evidence in these settings regarding COVID-19 CAD performance. We performed a multicenter, retrospective cross-over study evaluating CXRs from individuals at risk for COVID-19.
View Article and Find Full Text PDFDECODE enables high-throughput mapping of antibody epitopes at single amino acid resolution.
PLoS Biol
January 2025
Laboratory for Synthetic Biology, RIKEN Center for Biosystems Dynamics Research, Osaka, Japan.
Antibodies are extensively used in biomedical research, clinical fields, and disease treatment. However, to enhance the reproducibility and reliability of antibody-based experiments, it is crucial to have a detailed understanding of the antibody's target specificity and epitope. In this study, we developed a high-throughput and precise epitope analysis method, DECODE (Decoding Epitope Composition by Optimized-mRNA-display, Data analysis, and Expression sequencing).
View Article and Find Full Text PDFAdvanced low-power filter architecture for biomedical signals with adaptive tuning.
PLoS One
January 2025
Computer Engineering, CCSIT, King Faisal University, Al Hufuf, Kingdom of Saudi Arabia.
This paper presents a low-power, second-order composite source-follower-based filter architecture optimized for biomedical signal processing, particularly ECG and EEG applications. Source-follower-based filters are recommended in the literature for high-frequency applications due to their lower power consumption when compared to filters with alternative topologies. However, they are not suitable for biomedical applications requiring low cutoff frequencies as they are designed to operate in the saturation region.
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