Results 141 to 150 of about 2,418,141 (314)
The Challenge of Handling Structured Missingness in Integrated Data Sources
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
Assessment of changes in product quality and antioxidant activity of dried soursop (Annona muricata L.) during product storage. [PDF]
Le TNQ +7 more
europepmc +1 more source
This work investigates the optimal initial data size for surrogate‐based active learning in functional material optimization. Using factorization machine (FM)‐based quadratic unconstrained binary optimization (QUBO) surrogates and averaged piecewise linear regression, we show that adequate initial data accelerates convergence, enhances efficiency, and ...
Seongmin Kim, In‐Saeng Suh
wiley +1 more source
The oldest plans to scale of humanmade mega-structures. [PDF]
Crassard R +10 more
europepmc +1 more source
Reviving Main Street: two New England case studies [PDF]
For 25 years, the Main Street program of the National Trust for Historic Preservation has been revitalizing town centers and rejuvenating downtown commercial districts.
Mamie Marcuss
core
In this work, the Doubao large language model (LLM) is involved in the formula derivation processes for Hubbard U determination regarding the second‐order perturbations of the chemical potential. The core ML tool is optimized for physical domain knowledge, which is not limited to parameter prediction but rather serves as an interactive physical theory ...
Mingzi Sun +8 more
wiley +1 more source
Ethnozoological scatology: a situational report on the utilisation of animal excrement in traditional medicine in Ghana. [PDF]
Ameade EPK, Gmawurim S, Adom E.
europepmc +1 more source
This study reveals that sampling strategy (i.e., sampling size and approach) is a foundational prerequisite for building accurate and generalizable AI models in peptide discovery. Reaching a threshold of 7.5% of the total tetrapeptide sequence space was essential to ensure reliable predictions.
Meiru Yan +3 more
wiley +1 more source

