In this retrospective analysis, neoGFAP provided clearer incremental value than total GFAP for recovery-oriented monitoring, especially when late-window reassessment of patients who remained at risk for less-than-good recovery was required.
K.-K.-W. Wang, G. Cai, K. Boukholda et al.· medRxiv· 0 citations
Fluorescent indicators are indispensable imaging tools for visualizing the spatiotemporal dynamics of biological processes. Red fluorescent indicators are in particularly high demand because they offer compatibility with existing green fluorescent indicators or optogenetic tools, and longer wavelength fluorescence has...
Shosei Imai, Wen-Chao Zhu, Robert E. Campbell et al.· ACS Chemical Biology· 0 citations
This paper introduces a novel self-adaptive optimization algorithm designed for modeling biological molecules. Biological systems exhibit intricate and dynamic behaviors, making traditional optimization methods often inadequate. This algorithm addresses this limitation by incorporating a self-adjustment mechanism that...
Jincheng Zhang· Zenodo (CERN European Organi...· 0 citations
The results underscore the potential of VCF7 as a promising plant-derived anticancer agent and support the need for further preclinical and clinical studies in ovarian cancer.
Ariane M. Chitoh, Clement G. Yedjou, Ingrid K. Tchakoua et al.· International Journal of Mol...· 0 citations
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In this small sample, neoGFAP is a superior proteoform-resolved diagnostic and prognostic biomarker across the continuum and supports adding an astroglial-proteoform axis to amyloid/tau/neurodegeneration biomarker frameworks in high-risk populations.
W. Haskins, K.-K.-W. Wang, G. Cai et al.· medRxiv· 0 citations
This preprint introduces the molecular and biochemical extension of The Bell TowerArchitecture. By taking the asymptotic limit (ε → 0) of the discrete lattice Z^3, we define acontinuous rigid field Φ(z) governed by Weierstrass infinite products and Mittag-Leffler expansions. This geometric framework replaces traditiona...
Silvio Gabbianelli· Zenodo (CERN European Organi...· 0 citations
Nitrogen-containing organic compounds (NOCs) are key characteristic components in particulate matter (PM) from household solid fuel combustion, yet their personal exposure and class-dependent toxicity remain poorly characterized. We compared size-resolved personal exposure to particulate nitrated phenols (NPs) and ni...
Rong Feng, Hong-Mei Xu, Zhen-Xing Shen et al.· Environmental Science &...· 0 citations
Researchers at Osaka University in Japan and the University of Queensland in Australia have published a review analysing the enormous gap between theory and measured values that confronts luminescence nanothermometry, the technique used to measure temperature inside cells. The authors argue that the concept of temperat...
inquantio· Zenodo (CERN European Organi...· 0 citations
This paper explores how AI contributes to science, introducing a framework organised around task capabilities, scientific workflow integration, and domain constraints, and uses that framework to open wider questions about the role of AI in scientific discovery.
Kyle Cranmer, Neil D. Lawrence, J. Montgomery et al.· Robotics: Science and System...· 0 citations
It is proposed that DUF501 is a metal-binding protein and candidate metalloenzyme, the first functional hypothesis for this family, whose conserved, essential metal pocket is a promising drug target.
Quantum-driven constraint on complex systems aims to accelerate solution processes by dynamically adjusting constraint parameters. This paper explores the potential of quantum annealing and variational quantum eigensolver (VQE) to optimize these parameters. The core claim is to implement an algorithm that dynamically a...
Jincheng Zhang· Zenodo (CERN European Organi...· 0 citations
A new machine-learning framework aims to improve the success rate of computational protein design while moving away from results that reproduce sequences found in nature.
