Results 221 to 230 of about 32,560 (308)
Beyond black and white: A framework for identifying grey literature in palliative care research. [PDF]
Damarell R +3 more
europepmc +1 more source
opXRD: Open Experimental Powder X‐Ray Diffraction Database
We introduce the Open Experimental Powder X‐ray Diffraction Database, the largest openly accessible collection of experimental powder diffractograms, comprising over 92,000 patterns collected across diverse material classes and experimental setups. Our ongoing effort aims to guide machine learning research toward fully automated analysis of pXRD data ...
Daniel Hollarek +23 more
wiley +1 more source
Experimental evidence of the effects of large language models versus web search on depth of learning. [PDF]
Melumad S, Yun JH.
europepmc +1 more source
Advanced Experiment Design Strategies for Drug Development
Wang et al. analyze 592 drug development studies published between 2020 and 2024 that applied design of experiments methodologies. The review surveys both classical and emerging approaches—including Bayesian optimization and active learning—and identifies a critical gap between advanced experimental strategies and their practical adoption in ...
Fanjin Wang +3 more
wiley +1 more source
mHealth interventions to increase HIV non-occupational post-exposure prophylaxis uptake, adherence and linkage to pre-exposure prophylaxis services in Sub-Saharan Africa: a scoping review protocol. [PDF]
Segomotso NLP +3 more
europepmc +1 more source
This perspective highlights how knowledge‐guided artificial intelligence can address key challenges in manufacturing inverse design, including high‐dimensional search spaces, limited data, and process constraints. It focused on three complementary pillars—expert‐guided problem definition, physics‐informed machine learning, and large language model ...
Hugon Lee +3 more
wiley +1 more source
Development of Distributed Search Algorithm for Improving Efficiency in Web Search Engines
Suparyanto Suparyanto +4 more
openalex +2 more sources
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

