Ipsative Assessment: Concept and Assimilation in Competency-based Assessment in Undergraduate Medical Training. [PDF]
Mahajan R, Virk A, Saiyad S, Gupta K.
europepmc +1 more source
Asking the 5 W's for designing next‐generation bioprocessing
Abstract Biotechnology is expanding beyond traditional, centralized fermentation and toward next‐generation bioprocessing paradigms that emphasize flexible deployment outside the laboratory with application‐specific performance. However, many bioprocesses fail to translate beyond proof‐of‐concept into industrially viable systems because early design ...
Sangdo Yook +4 more
wiley +1 more source
Multiple pathways of institutional environment driving the reduction of veterinary antibiotic overuse: Evidence from dairy farmers in Heilongjiang Province, China. [PDF]
Jiang B, Li M, Bai H.
europepmc +1 more source
Deep Learning‐Assisted Design of Mechanical Metamaterials
This review examines the role of data‐driven deep learning methodologies in advancing mechanical metamaterial design, focusing on the specific methodologies, applications, challenges, and outlooks of this field. Mechanical metamaterials (MMs), characterized by their extraordinary mechanical behaviors derived from architected microstructures, have ...
Zisheng Zong +5 more
wiley +1 more source
Why organisational diversity matters in a circular economy and society.
Van Opstal W, Bocken N, Brusselaers J.
europepmc +1 more source
Gendering the Menstrual Cycle in Behavioral Neuroendocrinology. [PDF]
Duchesne A, Jhajj KK, White N.
europepmc +1 more source
This article establishes a Taguchi–Bayesian sampling strategy to reconstruct polymer processing–property landscape at minimal sampling cost, generically building the roadmap for materials database construction from sampling their vast design space. This sampling strategy is featured by an alternating lesson between uniformity and representativeness ...
Han Liu, Liantang Li
wiley +1 more source
From the logic of coordination to goal-directed reasoning: the agentic turn in artificial intelligence. [PDF]
Haidemariam T.
europepmc +1 more source
Harnessing Machine Learning to Understand and Design Disordered Solids
This review maps the dynamic evolution of machine learning in disordered solids, from structural representations to generative modeling. It explores how deep learning and model explainability transform property prediction into profound physical insight.
Muchen Wang, Yue Fan
wiley +1 more source
Spatially and temporally progressive hypoperfusion in Alzheimer's disease revealed by normative modeling. [PDF]
Zeng X +9 more
europepmc +1 more source

