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Neuro-cognitive multilevel causal modeling: A framework that bridges the explanatory gap between neuronal activity and cognition.
PLoS Comput Biol
December 2024
Department of Neuroscience and Developmental Biology, Vienna Biocenter (VBC), University of Vienna, Vienna, Austria.
Explaining how neuronal activity gives rise to cognition arguably remains the most significant challenge in cognitive neuroscience. We introduce neuro-cognitive multilevel causal modeling (NC-MCM), a framework that bridges the explanatory gap between neuronal activity and cognition by construing cognitive states as (behaviorally and dynamically) causally consistent abstractions of neuronal states. Multilevel causal modeling allows us to interchangeably reason about the neuronal- and cognitive causes of behavior while maintaining a physicalist (in contrast to a strong dualist) position.
View Article and Find Full Text PDFIntroducing GWAStic: a user-friendly, cross-platform solution for genome-wide association studies and genomic prediction.
Bioinform Adv
November 2024
Department of Breeding Research, Leibniz Institute of Plant Genetics and Crop Plant Research (IPK), OT Gatersleben, D-06466 Seeland, Germany.
Motivation: Advances in genomics have created an insistent need for accessible tools that simplify complex genetic data analysis, enabling researchers across fields to harness the power of genome-wide association studies and genomic prediction. GWAStic was developed to bridge this gap, providing an intuitive platform that combines artificial intelligence with traditional statistical methods, making sophisticated genomic analysis accessible without requiring deep expertise in statistical software.
Results: We present GWAStic, an intuitive, cross-platform desktop application designed to streamline genome-wide association studies and genomic prediction for biological and medical researchers.
Compact Arterial Monitoring Device Use in Resuscitative Endovascular Balloon Occlusion of the Aorta (REBOA): A Simple Validation Study in Swine.
Cureus
October 2024
Department of Anesthesiology, Uniformed Services University of the Health Sciences, Bethesda, USA.
Article Synopsis
- - Hemorrhage is the main cause of preventable death in trauma situations, leading to military and civilian advancements in medical practices, particularly through the use of tourniquets to manage extremity bleeding and save lives.
- - While tourniquets have significantly decreased deaths from bleeding in military settings, noncompressible hemorrhage still poses a major risk, especially before patients receive definitive medical care.
- - The study explores using a small, disposable pressure monitor during resuscitative endovascular balloon occlusion of the aorta (REBOA) to enhance blood pressure monitoring, facilitate better resuscitation practices, and reduce the need for blood products in extreme environments.
Kiphynet: an online network simulation tool connecting cellular kinetics and physiological transport.
Metabolomics
August 2024
Department of Computational and Data Sciences, Indian Institute of Science, Bangalore, 560012, India.
Introduction: Human metabolism is sustained by functional networks that operate at diverse scales. Capturing local and global dynamics in the human body by hierarchically bridging multi-scale functional networks is a major challenge in physiological modeling.
Objectives: To develop an interactive, user-friendly web application that facilitates the simulation and visualization of advection-dispersion transport in three-dimensional (3D) microvascular networks, biochemical exchange, and metabolic reactions in the tissue layer surrounding the vasculature.
Perspectives on tracking data reuse across biodata resources.
Bioinform Adv
April 2024
MSCB, European Molecular Biology Laboratory, European Bioinformatics Institute (EMBL-EBI), Wellcome Genome Campus, Hinxton CB10 1SD, United Kingdom.
Motivation: Data reuse is a common and vital practice in molecular biology and enables the knowledge gathered over recent decades to drive discovery and innovation in the life sciences. Much of this knowledge has been collated into molecular biology databases, such as UniProtKB, and these resources derive enormous value from sharing data among themselves. However, quantifying and documenting this kind of data reuse remains a challenge.
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