Results 211 to 220 of about 282,298 (328)
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
Two‐photon polymerization enables high‐resolution microfabrication, but performing alignment when printing multiple structures is difficult. Here, we present a fast, robust, and open‐source protocol for automated alignment on Nanoscribe systems. Achieving ≈0.4 μm accuracy in under 5 s, our protocol reduces time and error in multimaterial printing. This
Daniel Maher +4 more
wiley +1 more source
Comparison of early warning scoring systems for predicting stroke occurrence among hospitalized patients: A study using smart clinical data warehouse. [PDF]
Kim C +5 more
europepmc +1 more source
ABSTRACT Over almost two decades, young people's employment opportunities have been significantly impacted by events like the Global Financial Crisis (2008–2009) and the COVID‐19 pandemic (2020‐). Thus, underemployment has become a more pervasive and persistent feature of young people's labour market experiences. This research focuses on three forms of
Brendan Churchill
wiley +1 more source
Compliance considerations in the geo-enrichment of an EHR data warehouse with social and environmental determinants of health. [PDF]
Abdallah M +8 more
europepmc +1 more source
Perancangan Data Warehouse Nilai Mahasiswa Dengan Kimball Nine-Step Methodology
Ganda Wijaya
openalex +1 more source
ABSTRACT This paper tackles one key limitation in the analysis of Iron Age communities in the Northwestern Iberian Peninsula: the limited exploration of areas beyond the fortified settlements known as castros (hillforts). The vast majority of archaeological studies have focused exclusively on the areas inside the walls of these settlements, which are ...
César Parcero‐Oubiña +7 more
wiley +1 more source
The Anonymous Data Warehouse: A Hands-On Framework for Anonymizing Data From Digital Health Applications. [PDF]
Naef A, Coduti E, Windisch PY.
europepmc +1 more source

