Preprint Watch

An Ontology-Based Analysis of Health Disorders Derived from Stress-Evoked Peripheral Immune Responses

Leave a Comment / medRxiv, Model Drift /

URL https://www.medrxiv.org/content/10.1101/2025.09.14.25335729v1.full.pdf Stage Model Drift Paradigm framing The paper operates within the established psychoneuroimmunology paradigm, which posits that chronic stress triggers peripheral immune responses and low-grade inflammation, contributing to the pathogenesis of various diseases. The research addresses the lack of a formal structure for understanding the specific immunological pathways that link stress to a diverse […]

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An energy-based mathematical model of actin-driven protrusions in eukaryotic chemotaxis

Leave a Comment / arXiv, Model Revolution /

URL https://arxiv.org/pdf/2509.20303.pdf Stage Model Revolution Paradigm framing The paper operates within the established paradigms of cell biology and biophysics concerning eukaryotic chemotaxis, which include mechanistic models like the Brownian ratchet and conflicting chemosensing frameworks like compass-based versus pseudopod-centered models. It proposes a new, unifying paradigm where cell protrusive dynamics are governed by energy optimization. This

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Who is Responsible When AI Fails? Mapping Causes, Entities, and Consequences of AI Privacy and Ethical Incidents

Leave a Comment / arXiv, Model Drift /

URL https://arxiv.org/pdf/2504.01029.pdf Stage Model Drift Paradigm framing The dominant paradigm in AI ethics and governance posits that the risks and harms of AI systems can be managed through structured frameworks, principles, and taxonomies that guide policy and practice. This paradigm assumes that by identifying, classifying, and understanding AI failures, practitioners and policymakers can develop effective

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Evidence for complex fixed points in pandemic data

Leave a Comment / arXiv, Model Revolution /

URL https://assets-eu.researchsquare.com/files/rs-70238/v1_covered.pdf?c=1631840663 Stage Model Revolution Paradigm framing The established paradigm in mathematical epidemiology for modeling disease diffusion relies on compartmental models (e.g., SIR) and complex network techniques. These models are effective at describing the initial exponential growth of a single pandemic wave. A more recent, alternative framework, the epidemic Renormalisation Group (eRG), draws on principles

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Engineering ZnO/g-C₃N₄ Heterostructures for Enhanced Photocatalytic Performance under Solar Irradiation

Leave a Comment / Normal Science, Research Square /

URL https://assets-eu.researchsquare.com/files/rs-7502748/v1/c55f5e4f-94a9-40c5-a0f3-36ecc04e8cec.pdf Stage Normal Science Paradigm framing The preprint operates within the established paradigm of photocatalysis for environmental remediation. This paradigm accepts that semiconductor materials can be used to degrade organic pollutants using solar energy. The research aims to improve the efficiency of this process by optimizing existing materials and methods. Highlights This research focuses

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Value Creation for Healthcare Ecosystems through Artificial Intelligence Applied to Physician-to-Physician Communication: A Systematic Review

Leave a Comment / Normal Science, Research Square /

URL https://link.springer.com/content/pdf/10.1007/s11063-025-11725-1.pdf Stage Normal Science Paradigm framing Artificial intelligence, natural language processing, and large language models in healthcare. Highlights This systematic review investigates the application of AI to physician-to-physician communication within the existing paradigm of AI in healthcare. It explores the potential of AI to augment physicians' capabilities, particularly in decision-making and knowledge sharing, without

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Context dependent adaptation in a neural computation

Leave a Comment / arXiv, Normal Science /

URL https://arxiv.org/pdf/2509.01760.pdf Stage Normal Science Paradigm framing The preprint operates within the paradigm of efficient coding, specifically focusing on how neural systems adapt to the statistics of sensory inputs to maximize information transmission. It uses the established framework of spike-triggered analysis and information theory to investigate the adaptive behavior of the fly visual neuron H1.

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Synthetic mRNA Vaccines and Transcriptomic Dysregulation: Evidence from New-Onset Adverse Events and Cancers Post-Vaccination

Leave a Comment / Model Drift /

URL https://blog.fdik.org/2025-07/preprints202507_2155_v1.pdf Stage Model Drift Paradigm framing The preprint operates within the dominant paradigm of molecular biology and immunology, specifically focusing on transcriptomics and immune responses related to mRNA vaccines. Highlights This preprint presents findings that challenge certain aspects of the current understanding of mRNA vaccine safety, potentially indicating a model drift. While not proposing

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Contrasting Effects of SARS-CoV-2 Vaccination vs. Infection on Antibody and TCR Repertoires

Leave a Comment / bioRxiv, Normal Science /

URL https://www.biorxiv.org/content/10.1101/2023.09.08.556703v2.full.pdf Stage Normal Science Paradigm framing The preprint operates within the dominant paradigm of immunology, specifically focusing on adaptive immune responses mediated by B cells and T cells. It investigates the changes in antibody and T cell receptor repertoires following SARS-CoV-2 infection and vaccination. Highlights This research firmly falls within the "normal science" phase

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RNAtranslator: Modeling protein-conditional RNA design as sequence-to-sequence natural language translation

Leave a Comment / bioRxiv, Normal Science /

URL https://www.biorxiv.org/content/10.1101/2025.03.04.641375v2.full.pdf Stage Normal Science Paradigm framing The paradigm is the use of computational methods for RNA sequence design. Highlights This preprint presents RNAtranslator, a novel computational method for designing RNA sequences that bind to specific proteins. It frames the problem as a sequence-to-sequence translation task, leveraging the power of large language models. This approach

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