Results 51 to 60 of about 7,261 (195)

Toward Knowledge‐Guided AI for Inverse Design in Manufacturing: A Perspective on Domain, Physics, and Human–AI Synergy

Advanced Intelligent Discovery, EarlyView.
This perspective highlights how knowledge‐guided artificial intelligence can address key challenges in manufacturing inverse design, including high‐dimensional search spaces, limited data, and process constraints. It focused on three complementary pillars—expert‐guided problem definition, physics‐informed machine learning, and large language model ...
Hugon Lee, Hyeonbin Moon, Junhyeong Lee, Seunghwa Ryu   +3 more
wiley   +1 more source

Automating AI Discovery for Biomedicine Through Knowledge Graphs and Large Language Models Agents

Advanced Intelligent Discovery, EarlyView.
This work proposes a novel framework that automates biomedical discovery by integrating knowledge graphs with multiagent large language models. A biologically aligned graph exploration strategy identifies hidden pathways between biomedical entities, and specialized agents use this pathway to iteratively design AI predictors and wet‐lab validation ...
Naafey Aamer, Muhammad Nabeel Asim, Shan Munir, Andreas Dengel   +3 more
wiley   +1 more source

Clasificación del recurso zoogenético llama (Lama glama Linnaeus) respecto a la aptitud productiva de fibra o carne en el Altiplano xerofítico y mesofítico de Bolivia

Revista de Investigación e Innovación Agropecuaria y de Recursos Naturales, 2019
En el Altiplano boliviano la ganadería de llamas es fundamental para la seguridad y soberanía alimentaria de las poblaciones rurales, pues proporciona carne, fibra, pieles y estiércol, asimismo, las poblaciones de llamas fueron denominadas como razas ...
Genaro Condori C.
doaj  

The effect of seminal plasma β-NGF on follicular fluid hormone concentration and gene expression of steroidogenic enzymes in llama granulosa cells

Reproductive Biology and Endocrinology, 2019
Background Nerve growth factor (β-NGF) from llama seminal plasma has been described as a potent ovulatory and luteotrophic molecule after intramuscular or intrauterine infusion in llamas and alpacas.
Ximena P. Valderrama, Jose F. Goicochea, Mauricio E. Silva, Marcelo H. Ratto   +3 more
doaj   +1 more source

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

Advanced 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, Manuel Raimann, Marc Münker, Maxim Rosin, Joaquin E. Urrutia Gómez, Christof M. Niemeyer, Markus Reischl, Luca Rettenberger   +7 more
wiley   +1 more source

Advances in the Diagnosis of Reproductive Disorders in Female Camelids

Animals
Camelids are increasingly recognized as important livestock species. They are valuable sources of meat, fiber, and milk. Despite their growing popularity, many aspects of their reproductive physiology and pathology remain unclear.
Abdelmalek Sghiri, Michela Ciccarelli, Muhammad S. Waqas, Abelhaq Anouassi, Ahmed Tibary   +4 more
doaj   +1 more source

Biochemical isolation and purification of ovulation-inducing factor (OIF) in seminal plasma of llamas

Reproductive Biology and Endocrinology, 2011
Background The objective of the present study was to isolate and purify the protein fraction(s) of llama seminal plasma responsible for the ovulation-inducing effect of the ejaculate.
Pierson Roger A, Leduc Yvonne A, Delbaere Louis TJ, Ratto Marcelo H, Adams Gregg P   +4 more
doaj   +1 more source

AI Powered Biobanks From Static Archives to Dynamic Discovery Engines

Advanced Intelligent Discovery, EarlyView.
Large language models (LLMs) provide a potential framework for transforming biobanks from static data repositories into intelligent discovery engines. By enabling unified representation and analysis of multimodal biomedical data, LLM‐based systems facilitate dynamic risk prediction, biomarker identification, and mechanistic interpretation, thereby ...
Wenzhen Yin, Yutian Feng, Wenrui Ma, Yuxin Su, Li Min, Juan Liu   +5 more
wiley   +1 more source

An Autonomous Large Language Model‐Agent Framework for Transparent and Local Time Series Forecasting

Advanced Intelligent Discovery, EarlyView.
Architecture of the proposed large language model (LLM)‐based agent framework for autonomous time series forecasting in thermal power generation systems. The framework operates through a vertical pipeline initiated by natural language queries from users, which are processed by the LLM Agent Core powered by Llama.cpp and a ReAct loop with persistent ...
William Gouvêa Buratto, Gabriel Villarrubia Gonzalez, Ademir Nied, Laio Oriel Seman, Anne Carolina Rodrigues Klaar, Stefano Frizzo Stefenon   +5 more
wiley   +1 more source

Modeling growth curve parameters in Peruvian llamas using a Bayesian approach

Veterinary and Animal Science
The objective of this study was to fit four nonlinear models (Brody, von Bertalanffy, Gompertz and Logistic) to realizations of llama weight, using frequentist and Bayesian approaches.
Ali William Canaza-Cayo, Rubén Herberht Mamani-Cato, Roxana Churata-Huacani, Francisco Halley Rodríguez-Huanca, Maribel Calsin-Cari, Ferdynand Marcos Huacani-Pacori, Oscar Efrain Cardenas Minaya, Júlio Sílvio de Sousa Bueno Filho   +7 more
doaj   +1 more source