This systematic review synthesizes prognostic models for survival and recurrence in resected non‐small cell lung cancer. While many models demonstrate moderate to good discrimination, few are externally validated and reporting quality is variable, limiting clinical applicability and highlighting the need for robust, transparent model development ...
Evangeline Samuel +4 more
wiley +1 more source
Relationship Between Xonotlite Crystallite Size and Strength Degradation of Silica-Enriched Oil Well Cement Under 240 °C Curing Conditions. [PDF]
Cheng G +6 more
europepmc +1 more source
Intelligent Tutoring Systems for Adult Learning in STEM Disciplines
ABSTRACT Intelligent tutoring systems (ITS) are reshaping adult learning in STEM by providing adaptive, data‐driven instruction across classrooms, workplaces, and informal environments. In the context of ITS, this article compares generative AI, which creates personalized explanations and practice materials, with explainable AI, which focuses on ...
Jill Zarestky, Amanda R. Lager Gleason
wiley +1 more source
Step-Wise Dual Dynamic DPSGD: Enhancing Performance on Imbalanced Medical Datasets with Differential Privacy. [PDF]
Huang X, Xie F.
europepmc +1 more source
Direct evidence for magnetohydrodynamic disk winds driving rotating outflows in protostar HOPS 358. [PDF]
Kim CH +6 more
europepmc +1 more source
Trajectory prediction model of diabetes distress in adults with type 2 diabetes mellitus: a 12-month prospective longitudinal study. [PDF]
Zhang YY +5 more
europepmc +1 more source
Deep learning software and revised 2D model to segment bone in micro-CT scans. [PDF]
Lee AH +12 more
europepmc +1 more source
Correction to "Shared Decision-Making Behavior in Surgery Among Early Breast Cancer Patients and Associated Factors Using COM-B Model: A Latent Profile Analysis". [PDF]
europepmc +1 more source
On normal Fitting classes [PDF]
The paper contains some characterizations of normal Fitting classes. Let \(\mathcal F\) be a Fitting class of finite soluble groups. It is proved that \(\mathcal F\) is a normal Fitting class if and only if every \(\mathcal F\)-dualpronormal subgroup has respectively one of the following embedding properties: normal, subnormal, pronormal, normally ...
D'ANIELLO A +2 more
exaly +3 more sources

