Results 211 to 220 of about 306,510 (300)

Correlation analysis and prediction models for loess compressibility in Ili region, Xinjiang. [PDF]

PLoS One
Liu Z, Chen L, Chen K, Zhang Z, Chang J.
europepmc   +1 more source

Environmental Transformation and Trophic Transfer of Engineered Nanomaterials in the Agri‐Food Chain and Implications for human Health

ChemFoodChem, EarlyView.
ABSTRACT Engineered nanomaterials (ENMs) are increasingly applied in agriculture to improve crop yield, nutrient efficiency, and food quality. This study examines the environmental transformation of ENMs, their uptake in plants, and their transfer across the agri‐food chain leading to human exposure.
Soumitra Nath
wiley   +1 more source

Subsurface geophysical profiling in Awash Melkesa: Insights into lithology and resource potential. [PDF]

PLoS One
Dessalew EA, Mamo T, Ali MY.
europepmc   +1 more source

The geology, mineralogy and paragenesis of the Castrovirreyna lead-zinc-silver deposits, Peru [PDF]

Open-File Report, 1964
openaire   +1 more source

Variable Temperature Studies of Two Calcium Uranates α‐Ca3UO6 and Ca2UO5

Chemistry – A European Journal, EarlyView.
The structures and thermal responses of the calcium uranates α‐Ca3UO6 and Ca2UO5 were investigated using in situ synchrotron x‐ray diffraction and neutron powder diffraction. Despite the very similar chemical compositions, the structural response of the two calcium uranates is shown to be complex and varied.
Maria K. Nicholas, Timothy A. Ablott, Caleb J. Bennett, Bryce G. Mullens, Helen E. Maynard‐Casely, Wen Liang Tan, Jeremy L. Wykes, Yingjie Zhang, Brendan J. Kennedy   +8 more
wiley   +1 more source

Sediment Characteristics in Stonewort <i>Chara Tomentosa</i> Assemblages. [PDF]

Ecol Evol
Puttonen I, Raitanen H, Nystrand M, Salovius-Laurén S.   +3 more
europepmc   +1 more source

Data‐driven simulation of crude distillation using Aspen HYSYS and comparative machine learning models

The Canadian Journal of Chemical Engineering, EarlyView.
Integrated Aspen HYSYS–machine learning framework for predicting product yields and quality variables. Abstract Crude oil refining is a complex process requiring precise modelling to optimize yield, quality, and efficiency. This study integrates Aspen HYSYS® simulations with machine learning techniques to develop predictive models for key refinery ...
Aldimiro Paixão Domingos, Heleno Bispo, Thiago Vaz da Costa, Sérgio Mauro da Silva Neiro   +3 more
wiley   +1 more source

Analyzing water recharge mechanisms and predicting water inflow in deep mining based on hydrogeological structures: a case study. [PDF]

Sci Rep
Yuan S, Han G, Liu D, Li G, Zhang A, Li W.   +5 more
europepmc   +1 more source

In‐situ asphaltene capture with iron oxide nanoparticles in steam‐assisted gravity drainage (SAGD) for improved recovery and partial upgrading of bitumen

The Canadian Journal of Chemical Engineering, EarlyView.
Key improvements obtained by incorporating nanoparticles into a lab‐scale SAGD process configuration. The bar plots show enhanced oil recovery, reduced viscosity, and increased asphaltene adsorption in nanoparticle‐assisted scenarios compared with conventional SAGD.
Luis Prada, Saleh S. Baakeem, Mabkhot BinDahbag, M. Daniela Contreras‐Mateus, Jesus Botett, Afif Hethnawi, Nashaat N. Nassar   +6 more
wiley   +1 more source

Heavy Metals in the Soil-Coffee System of Pu'er, China, a Major Coffee Producing Region in China: Distribution and Health Risks. [PDF]

Toxics
Zhou X, Yang T, Hao Y, Li J, Du B, Yang S, Miao X.   +6 more
europepmc   +1 more source