Interdomain assembly between the fungal tRNA ligase adenylyltransferase and kinase domain. [PDF]
RNAKöhler S, Peschek J.
europepmc +1 more source
Advanced Intelligent Discovery, EarlyView.In this study we employed support vector regressor and quantum support vector regressor to predict the hydrogen storage capacity of metal–organic frameworks using structural and physicochemical descriptors. This study presents a comparative analysis of classical support vector regression (SVR) and quantum support vector regression (QSVR) in predicting ...
Chandra Chowdhury
wiley +1 more source
Genetic Diversity, Demographic Parameters, and Trophic Ecology of the Pampas Cat (<i>Leopardus garleppi</i>) in a Ramsar Wetland of Northwestern Peru. [PDF]
Genes (Basel)Santiago-Plata M +6 more
europepmc +1 more source
On the Semantic Evolution of <i>Kuda ni Kin’</i>
Alexandr G. Kravetskiy +1 more
openalex +2 more sources
Deep Learning‐Assisted Coherent Raman Scattering Microscopy
Advanced Intelligent Discovery, EarlyView.The analytical capabilities of coherent Raman scattering microscopy are augmented through deep learning integration. This synergistic paradigm improves fundamental performance via denoising, deconvolution, and hyperspectral unmixing. Concurrently, it enhances downstream image analysis including subcellular localization, virtual staining, and clinical ...
Jianlin Liu +4 more
wiley +1 more source
Correction for Coste, The Kinship Formula: Inferring the numbers of all kin from any structured population projection model. [PDF]
Proc Natl Acad Sci U S Aeuropepmc +1 more source
Integrated media and plant growth regulators comparative evaluation for enhanced in vitro propagation and acclimatization of Selenicereus Costaricensis. [PDF]
BMC Plant BiolAhmed EZ +5 more
europepmc +1 more source
Topology‐Aware Machine Learning for High‐Throughput Screening of MOFs in C8 Aromatic Separation
Advanced Intelligent Discovery, EarlyView.We screened 15,335 Computation‐Ready, Experimental Metal–Organic Frameworks (CoRE‐MOFs) using a topology‐aware machine learning (ML) model that integrates structural, chemical, pore‐size, and topological descriptors. Top‐performing MOFs exhibit aromatic‐enriched cavities and open metal sites that enable π–π and C–H···π interactions, serving as ...
Yu Li, Honglin Li, Jialu Li, Wan‐Lu Li
wiley +1 more source
The Challenge of Handling Structured Missingness in Integrated Data Sources
Advanced Intelligent Discovery, EarlyView.As data integration becomes ever more prevalent, a new research question that emerges is how to handle missing values that will inevitably arise in these large‐scale integrated databases? This missingness can be described as structured missingness, encompassing scenarios involving multivariate missingness mechanisms and deterministic, nonrandom ...
James Jackson +6 more
wiley +1 more source