Results 41 to 50 of about 58,710 (232)
LLM‐Based Scientific Assistants for Knowledge Extraction: Which Design Choices Matter?
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
Composition‐Aware Cross‐Sectional Integration for Spatial Transcriptomics
Multi‐section spatial transcriptomics demands coherent cell‐type deconvolution, domain detection, and batch correction, yet existing pipelines treat these tasks separately. FUSION unifies them within a composition‐aware latent framework, modeling reads as cell‐type–specific topics and clustering in embedding space.
Qishi Dong +5 more
wiley +1 more source
Empirical research into dictionary use. A brief guide [PDF]
This chapter summarizes the typical steps of an empirical investigation. Every step is illustrated using examples from our research project into online dictionary use or other relevant studies.
Koplenig, Alexander, Alexander Koplenig
core +1 more source
The Interoperability Challenge in DFT Workflows Across Implementations
Interoperability and cross‐validation remain major challenges in the computational materials science. In this work, we introduce a common input/output standard that enables internal translation across multiple workflow managers—AiiDA, PerQueue, Pipeline Pilot, and SimStack—while producing results in a unified schema.
Simon K. Steensen +13 more
wiley +1 more source
The Conversion and Sustainable Use of Alumina Refinery Residues: Global Solution Examples
This chapter introduces current industry best practice for the conversion of alumina refinery residues (or “red mud”) from hazardous waste to benign, inert material. The paper will examine four neutralization methods and Basecon Technology, a sustainable
Fergusson, Lee, Lee Fergusson
core +1 more source
A Hybrid Transfer Learning Framework for Brain Tumor Diagnosis
A novel hybrid transfer learning approach for brain tumor classification achieves 99.47% accuracy using magnetic resonance imaging (MRI) images. By combining image preprocessing, ensemble deep learning, and explainable artificial intelligence (XAI) techniques like gradient‐weighted class activation mapping and SHapley Additive exPlanations (SHAP), the ...
Sadia Islam Tonni +11 more
wiley +1 more source
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
Learners’ use of corpus examples revisited
One of the many features of technologically advanced dictionaries is the presence of corpus-based examples to illustrate how words are used in context. However, up to recently, there did not seem to be much evidence about their actual worth (e.g. Summers
Frankenberg-Garcia, A
core +1 more source
The Insistence of Blackness and the Persistence of Antiblackness in Ireland
ABSTRACT This paper positions Ireland as a critical site for examining the insistence of blackness and an antiblackness created and sustained through Irish ethnonationalist imaginaries and exclusionary processes. Drawing on connected sociologies and Irish Black Studies, this enquiry argues that antiblackness in Ireland operates as a generational force,
Philomena Mullen
wiley +1 more source
ABSTRACT This article presents the development of a five‐phase Indigenous Data Governance (IDGov) Framework in Australia, focusing on partnerships between the Aboriginal Community Controlled Health Organisation (ACCHO) sector and non‐Indigenous health entities.
Jacob Prehn +4 more
wiley +1 more source

