Results 61 to 70 of about 852,752 (274)

Automatic construction accident report analysis using large language models (LLMs)

Journal of Intelligent Construction
Construction site safety is a paramount concern, given the high rate of accidents and fatalities in the sector. This study introduces a novel approach to analyzing construction accident reports by employing advanced large language models (LLMs ...
Ehsan Ahmadi, Shashank Muley, Chao Wang
doaj   +1 more source

Exoplanet Transit Variability: Bow Shocks and Winds Around HD 189733b

, 2013
By analogy with the solar system, it is believed that stellar winds will form bow shocks around exoplanets. For hot Jupiters the bow shock will not form directly between the planet and the star, causing an asymmetric distribution of mass around the ...
Fares, R., Gombosi, T. I., Jardine, M., Llama, J, Vidotto, A. A., Wood, K.   +5 more
core   +1 more source

A Divergent Synthetic Approach to Diverse Molecular Scaffolds: Assessment of Lead-Likeness using LLAMA, an Open-Access Computational Tool [PDF]

, 2016
Complementary cyclisation reactions of hex-2-ene-1,6-diamine derivatives were exploited in the synthesis of alternative molecular scaffolds. The value of the synthetic approach was analysed using LLAMA, an open-access computational tool for assessing the
Adam Nelson, Agami, Bemis, Bertrand, Bickerton, Borisov, Christopher J. Empson, Chuprina, Davies, Doveston, Doveston, Firth, Foley, Hann, Ian Churcher, Ignacio Colomer, Irwin, James, James, Jordá-Gregori, Kamiyama, Keserü, Knapp, Leeson, Link, Lipinski, Lipinski, Lipkus, Lovering, Lüthy, MacLellan, Nadin, Oprea, Padwa, Perola, Philip Craven, Richard G. Doveston, Ritchie, Robbins, Ryabukhin, Sauer, Stankov, Stephen P. Marsden, Sudau, Waring, Wee, Wenlock, Zachary Owen   +47 more
core   +1 more source

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

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

Large Language Model‐Based Chatbots in Higher Education

Advanced Intelligent Systems, Volume 7, Issue 3, March 2025.
The use of large language models (LLMs) in higher education can facilitate personalized learning experiences, advance asynchronized learning, and support instructors, students, and researchers across diverse fields. The development of regulations and guidelines that address ethical and legal issues is essential to ensure safe and responsible adaptation
Defne Yigci, Merve Eryilmaz, Ail K. Yetisen, Savas Tasoglu, Aydogan Ozcan   +4 more
wiley   +1 more source

Ovulation-inducing factor: a protein component of llama seminal plasma [PDF]

, 2010
Background Previously, we documented the presence of ovulation-inducing factor (OIF) in the seminal plasma of llamas and alpacas. The purpose of the study was to define the biochemical characteristics of the molecule(s) in seminal plasma responsible for ...
Marcelo H Ratto, Wilfredo Huanca, Gregg P Adams   +2 more
core   +2 more sources

Predicting Materials Thermodynamics Enabled by Large Language Model‐Driven Dataset Building and Machine Learning

Advanced Intelligent Systems, EarlyView.
Illustration of text data mining of rare earth mineral thermodynamic parameters with the large language model‐powered LMExt. A dataset is built with mined thermodynamic properties. Subsequently, a machine learning model is trained to predict formation enthalpy from the dataset.
Juejing Liu, Haydn Anderson, Noah I. Waxman, Vsevolod Kovalev, Byron Fisher, Elizabeth Li, Xiaofeng Guo   +6 more
wiley   +1 more source

Air-Drying Llama Sperm Affects DNA Integrity

Frontiers in Veterinary Science, 2020
The objective of this study was to evaluate the effects of air-drying preservation on llama sperm DNA. Semen collections were carried out using electroejaculation under general anesthesia.
María Ignacia Carretero, María Ignacia Carretero, María Ignacia Carretero, María Graciela Chaves, María Graciela Chaves, Claudia Cecilia Arraztoa, Claudia Cecilia Arraztoa, Fernanda Gabriela Fumuso, Fernanda Gabriela Fumuso, Fernanda Gabriela Fumuso, Mariana Carla Gambarotta, Deborah Margarita Neild, Deborah Margarita Neild   +12 more
doaj   +1 more source

Hypoosmotic Test Combined with Coomassie Blue Staining in Llama Sperm [PDF]

SPERMOVA, 2018
To stablish sperm fertilization capacity membrane integrity and functionality are important characteristics to determine. The objectives of the present study were: 1) to evaluate the functionality of the plasma membrane over time by the hypoosmotic test (
M,I, Carretero, C. Pigretti, M. Bertuzzi , F. Fumuso   +3 more
doaj   +1 more source