Results 141 to 150 of about 3,803,308 (337)
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 +5 more
wiley +1 more source
The forestry sector is significantly impacted by the Job Creation Law, which alters the legal framework governing the sector. This paper explores the formulation of forestry policies under the Job Creation Law and examines its implications for forest ...
Fitri Setiyani Dwiarti +2 more
doaj +1 more source
Predictive models successfully screen nanoparticles for toxicity and cellular uptake. Yet, complex biological dynamics and sparse, nonstandardized data limit their accuracy. The field urgently needs integrated artificial intelligence/machine learning, systems biology, and open‐access data protocols to bridge the gap between materials science and safe ...
Mariya L. Ivanova +4 more
wiley +1 more source
Although there are multiple efforts to increase gender equality in the forest sector, women are still underrepresented in the forest sector workforce, even more so in top leadership of forest sector companies.
Pipiet Larasatie +2 more
doaj +1 more source
ECONOMIC IMPACTS OF CLIMATE CHANGE ON SOUTHERN FORESTS [PDF]
A multiperiod regional mathematical programming model is used to evaluate the potential economic impacts of global climatic change on the southern U.S. forestry sector.
Adams, Darius M. +5 more
core +1 more source
An Autonomous Large Language Model‐Agent Framework for Transparent and Local Time Series Forecasting
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 +5 more
wiley +1 more source
Farmers in Ethiopia have been vulnerable to climate change in recent decades. In the face of this change, farmers have managed agroforestry systems to maintain their livelihoods.
Mekuanent Tebkew +2 more
doaj +1 more source
Productivity in the Forest Products Sector: A Review of the Literature [PDF]
The present literature review is an attempt to gather and summarize the extent of our knowledge of the productivity trends and levels in the forest products sector. We consider single factor as well as total factor productivity definitions.
Centre for the Study of Living Standards
core
A machine learning‐driven digital twin simulates an aptamer‐functionalized BioFET measuring 17β‐estradiol. Real‐time Isd signals are processed, features are extracted, and trained models estimate hormone concentration. In parallel, a one‐step‐ahead forward model learns biosensor dynamics and generates realistic synthetic signals, enabling in silico ...
Anastasiia Gorelova +4 more
wiley +1 more source
Forest Management, Gender, and Food Security of the Rural Poor in Africa [PDF]
This paper addresses the economic impact of forest management on gender and food security of rural poor in Africa. The analyses reveal that deforestation places major demands on women and children?s time, limiting their opportunities to obtain an ...
Gbetnkom, Daniel
core

