Results 111 to 120 of about 3,446,945 (329)

Macro- and microstructural issues in Mazuna lexicography [PDF]

open access: yes, 2009
All the works in Mazuna lexicography have a common denominator: they are translation dictionaries biased towards French and were compiled by Catholic and Protestant missionaries or colonial administrators.
Mavoungou, Paul Achille
core  

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

'n Voorlopige model vir die sistematiese beskrywing van gebruikersvriendelikheid in woordeboeke

open access: yesLexikos, 2011
<p>Opsomming: Die gebruikersperspektief staan tans sentraal in die leksikografiese gesprek. Dit spruit uit die beginsel dat enige woordeboek in die eerste plek vir gebruik deur 'n bepaalde teikengebruikersgroep bedoel moet wees, en as sodanig moet ...
Herman L Beyer
doaj   +1 more source

Sentiment Analysis on New York Times Articles Data [PDF]

open access: yes, 2020
Sentiment Analysis on New York Times Coverage Data Departmental Affiliation: Data Science/ Political Science College of Arts and Sciences The extant political science literature examines media coverage of immigration and assesses the effect of that ...
Carvajal, Gabriel   +2 more
core   +1 more source

Screening in Public Health and Clinical Care: Similarities and Differences in Definitions, Types, and Aims - A Systematic Review.

open access: yesJournal of clinical and diagnostic research : JCDR, 2017
INTRODUCTION The concept of screening can be many times misleading to many people. This may be partly due to the way screening is described and explained in textbooks and journal articles.
M. Speechley   +5 more
semanticscholar   +1 more source

Composition‐Aware Cross‐Sectional Integration for Spatial Transcriptomics

open access: yesAdvanced Intelligent Discovery, EarlyView.
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

The Interoperability Challenge in DFT Workflows Across Implementations

open access: yesAdvanced Intelligent Discovery, EarlyView.
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

State of soul of a religious person. A fragment from the systematic French-Russian dictionary of religious lexis (part 2)

open access: yesSt. Tikhons' University Review. Series III. Philology, 2023
This work is a continuation of the publication of separate parts"Systematic French-Russian Dictionary of Religious Vocabulary" and is part of a large section "The Characters of the Christian Religion", as well as the subsection "States of the Human Soul".
openaire   +1 more source

Etymology of the earwigfly, Merope tuber Newman (Mecoptera: Meropeidae): Simply dull or just inscrutable? [PDF]

open access: yes, 2009
The naturalist Edward Newman did not provide an etymology for the mecopteran Merope tuber when he described it in 1838. In 1872 Asa Fitch asserted that the genus was named after Merope one of the Pleiades sisters of Greek mythology; however, he provided ...
Somma, Louis A.
core  

A Hybrid Transfer Learning Framework for Brain Tumor Diagnosis

open access: yesAdvanced Intelligent Systems, Volume 7, Issue 3, March 2025.
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

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