Results 111 to 120 of about 1,099,667 (313)

Machine Learning‐Enhanced Random Matrix Theory Design for Human Immunodeficiency Virus Vaccine Development

open access: yesAdvanced Intelligent Discovery, EarlyView.
This study integrates random matrix theory (RMT) and principal component analysis (PCA) to improve the identification of correlated regions in HIV protein sequences for vaccine design. PCA validation enhances the reliability of RMT‐derived correlations, particularly in small‐sample, high‐dimensional datasets, enabling more accurate detection of ...
Mariyam Siddiqah   +3 more
wiley   +1 more source

Systemic Haiku

open access: yesMurmurations, 2017
Various Systemic Practitioners
doaj   +1 more source

LLM‐Based Scientific Assistants for Knowledge Extraction: Which Design Choices Matter?

open access: yesAdvanced Intelligent Discovery, EarlyView.
A comprehensive framework for optimizing Large Language Models in domain‐specific applications is introduced. The LLM Playground integrates Prompt Engineering, knowledge augmentation, and advanced reasoning strategies to enable systematic comparison of architectures and base models.
David Exler   +7 more
wiley   +1 more source

Using 21st century diagnostics to overcome barriers for lung function testing in primary care: it is time to consider oscillometry

open access: yesnpj Primary Care Respiratory Medicine
Obstructive airways diseases, including asthma and COPD as the most commonly encountered respiratory diseases in primary care, are both diagnosed by lung function testing using spirometry as the gold standard.
Janwillem W. H. Kocks   +4 more
doaj   +1 more source

A pharmacokinetics approach to drug interactions.

open access: yes, 2004
When drug interference is suspected, a pharmacokinetic study is safer for patients than a large-scale toxicology study. This is particularly true if increased exposition to a drug can lead to cumulative, life-threatening toxicity, like in the case of ...
STROCCHI, ELENA, CAMAGGI, CARLO MAURIZIO
core  

Retinal Vessel Segmentation: A Comprehensive Review From Classical Methods to Deep Learning Advances (1982–2025)

open access: yesAdvanced Intelligent Systems, EarlyView.
Four decades of retinal vessel segmentation research (1982–2025) are synthesized, spanning classical image processing, machine learning, and deep learning paradigms. A meta‐analysis of 428 studies establishes a unified taxonomy and highlights performance trends, generalization capabilities, and clinical relevance.
Avinash Bansal   +6 more
wiley   +1 more source

“It’s always been a challenge, right?” An analysis of the affordances and limitations of STEM educators’ attempts to improve gender equity in Global South and North makerspaces

open access: yesFrontiers in Education
IntroductionThe longstanding, chronic under-representation of girls/ women and non-binary youth in engineering and computing remains a global concern. Informal STEM learning contexts, such as makerspaces, have the potential and flexibility to engage all ...
Louise Archer   +5 more
doaj   +1 more source

In praise of practitioners [PDF]

open access: yesClinical Child Psychology and Psychiatry, 2012
Vetere, A, Dallos, R
openaire   +4 more sources

Determinants of General Practitioners' Wages in England [PDF]

open access: yes
We analyse the determinants of annual net income and wages (annual net income/hours) of general practitioners (GPs) using a unique, anonymised, non-disclosive dataset derived from tax returns for 21,657 GPs in England for the financial year 2002/3.
Hugh Gravelle   +7 more
core  

Shapley Additive Explanation for Local Class Differentiation: Local Explainability for Class Differentiation in Classification Models

open access: yesAdvanced Intelligent Systems, EarlyView.
An instance‐level, model‐agnostic explanation of class differentiation is introduced through SHAP‐LCD, linking probability shifts to feature‐wise Shapley contributions. The method operates on tabular and image data and is released in a fully reproducible implementation, offering a transparent way to examine, at each instance, why predictive models ...
Roxana M. Romero Luna   +2 more
wiley   +1 more source

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