Results 91 to 100 of about 2,151,066 (310)

Accelerating Primary Screening of USP8 Inhibitors from Drug Repurposing Databases with Tree‐Based Machine Learning

Advanced Intelligent Discovery, EarlyView.
This study introduces a tree‐based machine learning approach to accelerate USP8 inhibitor discovery. The best‐performing model identified 100 high‐confidence repurposable compounds, half already approved or in clinical trials, and uncovered novel scaffolds not previously studied. These findings offer a solid foundation for rapid experimental follow‐up,
Yik Kwong Ng, Sharon Ai Er Lam, Wei Chun Lim, Hannah Hui Min Toh, Shi Jun Ang   +4 more
wiley   +1 more source

Wildfire in wet sclerophyll forests: the interplay between disturbances and fuel dynamics

Ecosphere, 2018
There are multiple pathways for vegetation to change following disturbances. Understanding those post‐disturbance pathways is critical for managing wildfire risk since vegetation is fuel in a wildfire context. Across forest systems, there is considerable
Jane G. Cawson, Thomas J. Duff, Matthew H. Swan, Trent D. Penman   +3 more
doaj   +1 more source

U.S. Forest Service Report Sa 3/2/maps/pt.1

, 1979
Maps accompanying a Land and Resource Management Plan for the Salmon National Forest showing 12 alternative management plans for the forest. Roads, forest boundaries, trails, and other points of interest are drawn on the map using lines and symbols ...
United States. Forest Service.
core  

On the wind advection influence on the fire spread across a fuel bed: modelling by a semi-physical approach and testing with experiments [PDF]

, 2001
This paper is devoted to the study of the advection effect on the fire spread across a fuel bed by means of a semi-physical model. This work is a step forward in our general process which consists in elaborating a simple model of fire spread to be used ...
A. Simeoni, P.A. Santoni, Santoni, PA, Larini, M, Balbi, JH, M. Larini, J.H. Balbi, Simeoni, A   +7 more
core   +1 more source

Data‐Guided Photocatalysis: Supervised Machine Learning in Water Splitting and CO2 Conversion

Advanced Intelligent Discovery, EarlyView.
This review highlights recent advances in supervised machine learning (ML) for photocatalysis, emphasizing methods to optimize photocatalyst properties and design materials for solar‐driven water splitting and CO2 reduction. Key applications, challenges, and future directions are discussed, offering a practical framework for integrating ML into the ...
Paul Rossener Regonia, Christian Mark Pelicano   +1 more
wiley   +1 more source

Preserved boreal zone forest massif mass estimation during fire extinguishing by liquid aerosol

MATEC Web of Conferences, 2017
This study contains results of experimental studies into establishing the principles of decreasing the model of fire source mass when extinguishing the ground cover of deciduous and mixed forests by liquid aerosol.
Shlegel Nikita E., Nyashina Galina S., Zhdanova Alyona O.   +2 more
doaj   +1 more source

FIRE‐GNN: Force‐Informed, Relaxed Equivariance Graph Neural Network for Rapid and Accurate Prediction of Surface Properties

Advanced Intelligent Discovery, EarlyView.
This study introduces FIRE‐GNN, a force‐informed, relaxed equivariant graph neural network for predicting surface work functions and cleavage energies from slab structures. By incorporating surface‐normal symmetry breaking and machine learning interatomic potential‐derived force information, the approach achieves state‐of‐the‐art accuracy and enables ...
Circe Hsu, Claire Schlesinger, Karan Mudaliar, Jordan Leung, Robin Walters, Peter Schindler   +5 more
wiley   +1 more source

A method of mapping forest fuel types in peat swamp forest

African Journal of Agricultural Research, 2012
In response to growing concerns over the burning of peat swamp forests, researchers have begun developing methods of mapping forest fire. Forest fire is one of the major causes of deforestation of tropical peat swamps in Malaysia. A way of identifying which peat swamp forest is vulnerable to forest fire is to develop a fuel type map to classify forest ...
openaire   +1 more source

Urban Fuel Demand in Ethiopia: An Almost-Ideal Demand System Approach [PDF]

This paper investigates the opportunities for reducing the pressure of urban centers on rural forest areas, using a dataset of 350 urban households in Tigrai in northern Ethiopia. We applied an almost-ideal demand system to fuels.
Bayou, Demeke, Gebreegziabher, Zenebe, Oskam, Arie J.   +2 more
core  

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