Results 101 to 110 of about 68,169 (294)

Crop insurance and irrigation behavior: The conditional role of pumping costs

American Journal of Agricultural Economics, EarlyView.
Abstract Excessive water use for irrigation can accelerate the depletion of water resources, undermining agriculture's resilience to weather‐related shocks. Understanding how farmers make water use decisions is essential for developing effective water management policies.
Sungmin Cheu, Molly Sears
wiley   +1 more source

Analisis Komparatif Kinerja Llama Murni, Rag Native, dan Rag Fine-Tuning

Jurnal Teknologi dan Sistem Informasi
Penelitian ini mengatasi masalah halusinasi pada Large Language Models (LLM) seperti LLaMA ketika menjawab kueri domain spesifik. Tujuan penelitian adalah membandingkan kinerja tiga arsitektur chatbot: LLaMA murni, Retrieval-Augmented Generation (RAG ...
Nindya Desyana, Ardytha Luthfiarta
doaj   +1 more source

COX14 Variants Are Associated With Mitochondrial Complex IV Deficiency Nuclear Type 10 (MC4DN10)

American Journal of Medical Genetics Part A, EarlyView.
ABSTRACT COX14 encodes a transmembrane protein essential for cytochrome c oxidase (COX) complex assembly. A homozygous missense variant in COX14 was reported in three siblings from a single consanguineous family with severe, fatal infantile mitochondrial complex IV deficiency nuclear type 10 (MC4DN10; MIM# 619053).
Elias K. Awad, Emily Waskow, Hari Tunuguntla, Joseph Spinner, Hanna J. Tadros, Lisa T. Emrick, Daniel G. Calame, Fernando Scaglia   +7 more
wiley   +1 more source

Retrieval-Augmented Generation for AI-Generated Content: A Survey

Data Science and Engineering
Advancements in model algorithms, the growth of foundational models, and access to high-quality datasets have propelled the evolution of Artificial Intelligence Generated Content (AIGC).
Penghao Zhao, Hailin Zhang, Qinhan Yu, Zhengren Wang, Yunteng Geng, Fangcheng Fu, Ling Yang, Wentao Zhang, Jie Jiang, Bin Cui   +9 more
doaj   +1 more source

Patient‐Derived Fibroblasts as a Clinically Relevant Model of Kearns–Sayre Syndrome

Annals of Neurology, EarlyView.
Objective Kearns–Sayre syndrome (KSS) is characterized by single large‐scale mitochondrial DNA deletions and by severe early‐onset clinical manifestations with neurological involvement. Reliable disease models, as well as validated biomarkers or effective treatments, are lacking.
Laura Valls‐Roca, Adrià Vilaseca‐Capel, Judith Cantó‐Santos, Ester Tobías, Félix Andújar‐Sánchez, Laia Farré‐Tarrats, Frederic Tort, Carles Rentero, Carlos Enrich, Virginia López, Juan R. Tejedor, Anna Esteve‐Codina, Cristina Núñez de Arenas, Pedro J. Moreno‐Lozano, José C. Milisenda, Mar O'Callaghan, Teresa García‐Silva, Montserrat Morales‐Conejo, Mario F. Fraga, Rafael Artuch, Miguel Á. Martín, José M. Cuezva, Ana Matas, Glòria Garrabou, Mariona Guitart‐Mampel   +24 more
wiley   +1 more source

Platelet-rich plasma combined with isometric quadriceps contraction regulates autophagy in chondrocytes via the PI3K/AKT/mTOR pathway to promote cartilage repair in knee osteoarthritis

Regenerative Therapy
Background: This study investigated the molecular mechanism by which the combination of platelet-rich plasma (PRP) and isometric contraction of the quadriceps (ICQ) intervention regulates autophagy in chondrocytes to prevent and treat knee osteoarthritis
Liang Cheng, Shuwan Chang, Yajun Tan, Benxiang He   +3 more
doaj   +1 more source

Knowledge-based learning in Text-RAG and Image-RAG

CoRR
9 pages, 10 ...
Alexander Shim, Khalil Saieh, Samuel Clarke   +2 more
openaire   +2 more sources

KARE-RAG: Knowledge-Aware Refinement and Enhancement for RAG

CoRR
Retrieval-Augmented Generation (RAG) enables large language models (LLMs) to access broader knowledge sources, yet factual inconsistencies persist due to noise in retrieved documents-even with advanced retrieval methods. We demonstrate that enhancing generative models' capacity to process noisy content is equally critical for robust performance.
Yongjian Li, HaoCheng Chu, Yukun Yan, Zhenghao Liu 0001, Shi Yu 0001, Zheni Zeng, Ruobing Wang, Sen Song, Zhiyuan Liu 0001, Maosong Sun 0001   +9 more
openaire   +3 more sources

Retrieval augmented generation for large language models in healthcare: A systematic review.

PLOS Digital Health
Large Language Models (LLMs) have demonstrated promising capabilities to solve complex tasks in critical sectors such as healthcare. However, LLMs are limited by their training data which is often outdated, the tendency to generate inaccurate ...
Lameck Mbangula Amugongo, Pietro Mascheroni, Steven Brooks, Stefan Doering, Jan Seidel   +4 more
doaj   +1 more source

Integrating Fine-Tuning and Retrieval-Augmented Generation for Healthcare AI Systems: A Scoping Review

Bioengineering
(1) Background: Large language models (LLMs) show promise in healthcare but are constrained by hallucinations, static knowledge, and limited domain specificity. Fine-tuning (FT) and retrieval-augmented generation (RAG) offer complementary solutions, with
Bernardo G. Collaco, Prabha Srinivasagam, Cesar A. Gomez-Cabello, Syed Ali Haider, Ariana Genovese, Nadia G. Wood, Sanjay Bagaria, Mark A. Lifson, Antonio Jorge Forte   +8 more
doaj   +1 more source