Integration of scientific knowledge into negotiations of the Multilateral Environment Agreements (MEAs) is crucial to effective implementation of those MEAs by ensuring uniformity in their terminology. Recent innovations in the field of biotechnology provoked a discussion over "Digital Sequence Information" (DSI) in fora of several MEAs. In the context of this discussion, the term DSI remains ambiguous and encompasses a wide range of concepts, including, at least, DNA/RNA base sequence data. We focused on how the term "DSI" was regarded in negotiations of the Convention on Biological Diversity and the International Treaty on Plant Genetic Resources for Food and Agriculture, analyzed the changes of terminology for DSI in the opinions or views of the Parties in the supreme decision-making bodies of these agreements from the perspective of the MEAs implementation. Based on these efforts we suggest the ways and means to support challenges regarding integration of scientific knowledge into MEAs.
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http://dx.doi.org/10.3389/fgene.2020.01028 | DOI Listing |
J Infect Dev Ctries
December 2024
Faculdade de Medicina de Campos, Campos dos Goytacazes, Brazil.
Introduction: Despite efforts by health organizations to share evidence-based information, fake news hindered the promotion of social distancing and vaccination during the coronavirus disease 2019 (COVID-19) pandemic. This study analyzed COVID-19 knowledge and practices in a vulnerable area in northern Rio de Janeiro, acknowledging the influence of the complex social and economic landscape on public health perceptions.
Methodology: This cross-sectional study was conducted in Novo Eldorado - a low-income, conflict-affected neighborhood in Campos dos Goytacazes - using a structured questionnaire, following the peak of COVID-19 deaths in Brazil (July-December 2021).
J Infect Dev Ctries
December 2024
The Cancer Hospital Affiliated to Shandong First Medical University (Shandong Cancer Prevention Research Institute, Shandong Cancer Hospital), Jinan 250117, China.
Introduction: In this study, we analyzed the psychological aspects of coronavirus disease 2019 (COVID-19) patients who were discharged from the hospitals in Shanghai, China, and later had positive nucleic acid retest results for the severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2) Omicron variant infection (re-positive COVID-19). The purpose was to gain clarity on the patients' needs and to provide evidence for the medical staff to deliver scientific and targeted health care to the patients.
Methodology: We screened patients who tested positive for SARS-CoV-2 Omicron variant infection by nucleic acid testing after having previously recovered from a COVID-19 infection and being discharged from Shanghai shelter hospitals or COVID-19-designated hospitals from April 3, 2022, to May 10, 2022.
Mol Ther
January 2025
Department of Integrative Physiology, Baylor College of Medicine, Houston, TX 77030, USA. Electronic address:
Gene therapy with Adeno-Associated Virus (AAV) vectors requires knowledge of their tropism within the body. Here we analyze the tropism of ten naturally occurring AAV serotypes (AAV3B, AAV4, AAV5, AAV6, AAV7, AAV8, AAV9, AAVrh8, AAVrh10 and AAVrh74) following systemic delivery into male and female mice. A transgene expressing ZsGreen and Cre recombinase was used to identify transduction in a cell-dependent manner based on fluorescence.
View Article and Find Full Text PDFBiophys J
January 2025
Theoretical Physics of Living Matter, Institute of Biological Information Processing and Institute for Advanced Simulation, Forschungszentrum Jülich, 52425 Jülich, Germany. Electronic address:
Translocation across barriers and through constrictions is a mechanism that is often used in vivo for transporting material between compartments. A specific example is apicomplexan parasites invading host cells through the tight junction that acts as a pore, and a similar barrier crossing is involved in drug delivery using lipid vesicles penetrating intact skin. Here, we use triangulated membranes and energy minimization to study the translocation of vesicles through pores with fixed radii.
View Article and Find Full Text PDFBMC Bioinformatics
January 2025
School of Computer Science and Technology, University of Science and Technology of China, 443 Huangshan Road, Hefei, 230027, China.
Background: Drug-drug interactions (DDIs) especially antagonistic ones present significant risks to patient safety, underscoring the urgent need for reliable prediction methods. Recently, substructure-based DDI prediction has garnered much attention due to the dominant influence of functional groups and substructures on drug properties. However, existing approaches face challenges regarding the insufficient interpretability of identified substructures and the isolation of chemical substructures.
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