Results 51 to 60 of about 38,038 (301)
This study presents a transferable modeling framework for carbon capture using aluminosilicates, integrating Universal Isotherm Modeling with experimental data. It reveals how ultramicropores, alumina content, and amine functionalization influence CO2 adsorption energetics.
Pooja Anil Kumar Nair +4 more
wiley +1 more source
Precise and prompt information on forest disturbances in the tropics is critical to support law enforcement and protect tropical forests. In 2023, medium resolution ALOS-2 ScanSAR data (∼100 m spatial resolution) was made available for Southeast Asia ...
Johannes Balling +4 more
doaj +1 more source
Análise da Acurácia Altimétrica do Modelo Digital de Superfície ALOS AW3D30 para o Mato Grosso do Sul [PDF]
O Mato Grosso do Sul apresenta riquezas ambientais a se destacar. O Pantanal, como exemplo, é a maior área alagável do planeta e é considerado patrimônio natural da humanidade pela Unesco.
Mauricio de Souza +2 more
doaj +1 more source
ALOS-1 and Sentinel-1 InSAR time-series for Galápagos volcanoes, Ecuador
This repository contains the supporting data for Yunjun et al., 2019, Computers and Geosciences. It includes two InSAR time-series datasets from ALOS-1 and Sentinel-1 satellite acquired over Galápagos volcanoes, Ecuador.
Yunjun, Zhang +5 more
core +1 more source
Our experimental evidence supports a model in which ALO targets the HSPA8‐CMA‐ATP6V1A axis to induce lysosomal hyperacidification and initiate osmotic and lipidomic stress. These changes are associated with LMP and loss of lysosomal integrity in prostate cancer cells.
Bingzheng An +8 more
wiley +1 more source
The distribution and amount of carbon in the largest peatland complex in Amazonia [PDF]
This work was funded by NERC grants NE/I021217/1 and NE/J50001X/1.Peatlands in Amazonian Peru are known to store large quantities of carbon, but there is high uncertainty in the spatial extent and total carbon stocks of these ecosystems.
Draper, FC +35 more
core +1 more source
Emerging Memory and Device Technologies for Hardware‐Accelerated Model Training and Inference
This review investigates the suitability of various emerging memory technologies as compute‐in‐memory hardware for artificial intelligence (AI) applications. Distinct requirements for training‐ and inference‐centric computing are discussed, spanning device physics, materials, and system integration.
Yoonho Cho +6 more
wiley +1 more source
Study region The study area is the Iishana sub-basin located in north-central Namibia. The basin is characterised by low-lying interconnected ephemeral drainage networks locally known as Iishana.
Johanna Ngula Niipele, Jianping Chen
semanticscholar +1 more source
Mapping Prominent Cash Crops Employing ALOS PALSAR-2 and Selected Machine Learners
Monitoring crops area is essential in achieving food security. The production coverage, crop types, and their growth phases are the key for monitoring food supply. Remote sensing plays a critical role to provide reliable data on regional basis supporting
Apan, Armando +5 more
core +1 more source
Mechanisms of Alkali Ionic Transport in Amorphous Oxyhalides Solid State Conductors
Large‐scale machine learning‐based molecular dynamics simulations are used to investigate isovalent amorphous oxyhalides, revealing a remarkable chemically independent ionic conductivity. A rigorous analysis of alkali residence times across different metal–anion environments identifies divalent anions as key diffusion bottlenecks.
Luca Binci +3 more
wiley +1 more source

