Normal Science - Preprint Watch

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

Leave a Comment / Normal Science, Research Square / Preprint Watch

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 […]

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

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

Leave a Comment / Normal Science, Research Square / Preprint Watch

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

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

Context dependent adaptation in a neural computation

Leave a Comment / arXiv, Normal Science / Preprint Watch

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.

Context dependent adaptation in a neural computation Read More »

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

Leave a Comment / bioRxiv, Normal Science / Preprint Watch

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

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

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

Leave a Comment / bioRxiv, Normal Science / Preprint Watch

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

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

The Shift Towards Preprints in AI Policy Research: A Comparative Study of Preprint Trends in the U.S., Europe, and South Korea

Leave a Comment / arXiv, Normal Science / Preprint Watch

URL https://arxiv.org/pdf/2505.03835.pdf Stage Normal Science Paradigm framing Open Science Highlights This preprint examines the impact of global events (COVID-19, ChatGPT) on preprint citation trends in AI policy research across the U.S., Europe, and South Korea. It operates within the open science paradigm, which promotes transparency and accessibility in research dissemination. The study analyzes bibliometric data

The Shift Towards Preprints in AI Policy Research: A Comparative Study of Preprint Trends in the U.S., Europe, and South Korea Read More »

The Delta Learning Hypothesis: Preference Tuning on Weak Data can Yield Strong Gains

Leave a Comment / arXiv, Normal Science / Preprint Watch

URL https://arxiv.org/pdf/2507.06187.pdf Stage Normal Science Paradigm framing The preprint operates within the dominant paradigm of Supervised Fine-tuning (SFT) and Reinforcement Learning from Human Feedback (RLHF) for Large Language Model (LLM) optimization. Highlights This preprint presents the "delta learning hypothesis," which suggests that improvements to LLMs can be achieved by leveraging the relative difference in quality

The Delta Learning Hypothesis: Preference Tuning on Weak Data can Yield Strong Gains Read More »

A Fog Over the Cosmological SGWB: Unresolved Massive Black Hole Binaries in the LISA Band

Leave a Comment / arXiv, Normal Science / Preprint Watch

URL https://arxiv.org/pdf/2506.18965.pdf Stage Normal Science Paradigm framing The preprint operates within the established paradigm of modern cosmology and astrophysics, specifically focusing on the detection and characterization of stochastic gravitational-wave backgrounds (SGWBs). This paradigm encompasses the theoretical framework of general relativity, the standard cosmological model (ΛCDM), and the astrophysical understanding of black hole formation and evolution.

A Fog Over the Cosmological SGWB: Unresolved Massive Black Hole Binaries in the LISA Band Read More »

Dissecting the Genetic Relationship Between Severe Mental Disorders and Autoimmune Diseases

Leave a Comment / medRxiv, Normal Science / Preprint Watch

URL https://www.medrxiv.org/content/10.1101/2025.06.22.25330080v1.full.pdf Stage Normal Science Paradigm framing The preprint operates within the dominant paradigm of genetic epidemiology, specifically focusing on the interplay of genes and environment in complex diseases. It adheres to the established methodologies of Genome-Wide Association Studies (GWAS) and related statistical analyses. Highlights This preprint investigates the genetic relationship between severe mental disorders

Dissecting the Genetic Relationship Between Severe Mental Disorders and Autoimmune Diseases Read More »

Machine learning prediction for early-stage melanoma outcomes: recurrence-free survival, disease-specific survival, and overall survival

Leave a Comment / medRxiv, Normal Science / Preprint Watch

URL https://www.medrxiv.org/content/10.1101/2025.05.28.25328519v1.pdf Stage Normal Science Paradigm framing The paradigm is the established understanding of melanoma outcomes prediction within the oncological field, with the focus on improving prognostic accuracy through existing frameworks. Highlights This research operates within the 'normal science' stage of Kuhn's paradigm cycle. It accepts the existing paradigm of using clinicopathological data and established

Machine learning prediction for early-stage melanoma outcomes: recurrence-free survival, disease-specific survival, and overall survival Read More »