Preprint Watch

Room-Temperature Superconductivity at 298 K in Ternary La-Sc-H System at High-pressure Conditions

Leave a Comment / Model Revolution, Research Square /

URL https://assets-eu.researchsquare.com/files/rs-7755852/v1/0c8d2926-46f8-41bb-bd8b-ca9652f0b42e.pdf Stage Model Revolution Paradigm framing The research operates within the established paradigm of condensed matter physics that seeks high-temperature superconductivity in hydrogen-rich materials under extreme pressure. This paradigm posits that hydrogen-based clathrate structures can achieve high critical temperatures (Tc). This paper extends the paradigm from binary (e.g., LaH10) to ternary systems (La-Sc-H), proposing […]

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Global human myeloid replacement with peripheral progenitors induces interferonopathy and neurodegeneration

Leave a Comment / Model Crisis, Research Square /

URL https://assets-eu.researchsquare.com/files/rs-7762822/v1/992f5429-50f2-4255-9eea-73dfc72d2753.pdf Stage Model Crisis Paradigm framing The research addresses the paradigm in neuroimmunology and regenerative medicine which posits that replacing dysfunctional brain microglia with healthy, peripherally-derived hematopoietic stem cells (HSCs) is a viable therapeutic strategy for neurodegenerative diseases. This prevailing model is largely founded on evidence from murine studies suggesting that such replacement is

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Cosmological tensions in the era of precision cosmology: Insights from Tensions in Cosmology 2025

Leave a Comment / arXiv, Model Crisis /

URL https://arxiv.org/pdf/2509.25288.pdf Stage Model Crisis Paradigm framing The paper operates within the established ΛCDM (Lambda-Cold Dark Matter) or "concordance model" of cosmology. This paradigm, which posits a universe dominated by a cosmological constant and cold dark matter, has successfully explained cosmological observations for decades. The paper's focus is on the growing observational challenges to this

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Predictive Emotional Selfhood in Articial Minds (PESAM): A Unied and Synergistic Variational Framework

Leave a Comment / Model Drift, Research Square /

URL https://assets-eu.researchsquare.com/files/rs-7713015/v1_covered_edbb151e-5647-4e84-9b22-f21605513872.pdf Stage Model Drift Paradigm framing The preprint operates within the paradigm of the Active Inference framework and the Free Energy Principle in computational neuroscience and artificial intelligence. This paradigm posits that intelligent agents perceive, act, and learn by continuously minimizing prediction error (or surprise) about their sensory inputs. The paper specifically addresses the

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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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