Results 171 to 180 of about 113,799 (259)

Effect of Water Quality on Phytoplankton Structure in Deep Freshwater Lakes over 10 Years: A Case Study of Fuxian Lake and Xingyun Lake. [PDF]

ACS Omega
Zhao T, Wang X, Yin K, Han X, Zhang Y, Chen D, Liang B, Chen L.   +7 more
europepmc   +1 more source

Cost‐Benefit Analysis of the European Union Carbon Border Adjustment Mechanism in Fertilizer Trade

Agribusiness, EarlyView.
ABSTRACT The carbon border adjustment mechanism (CBAM), launching 2026, will charge EU importers for embedded carbon emissions, aiming to reduce emissions but raising import costs. Shifts in demand following implementation may reduce carbon emissions, but importers will bear the cost of increased prices.
Natalie Crisci, Md Deluair Hossen, Andrew Muhammad, Seong‐Hoon Cho   +3 more
wiley   +1 more source

Climate Change and Epidemiology: How Will Environmental Stresses and the Climate Affect Population Health? [PDF]

Circ Popul Health Outcomes
McGraw KE, Lieberman-Cribbin W, Navas-Acien A.   +2 more
europepmc   +1 more source

Exploring Quantum Support Vector Regression for Predicting Hydrogen Storage Capacity of Nanoporous Materials

Advanced Intelligent Discovery, EarlyView.
In this study we employed support vector regressor and quantum support vector regressor to predict the hydrogen storage capacity of metal–organic frameworks using structural and physicochemical descriptors. This study presents a comparative analysis of classical support vector regression (SVR) and quantum support vector regression (QSVR) in predicting ...
Chandra Chowdhury
wiley   +1 more source

Sources of Heavy Metals and Their Effects on Distribution at the Sediment-Water Interface of the Yellow Sea Shelf off Northern Jiangsu. [PDF]

Toxics
Liu W, Li Y, Wang X, Cao Y.
europepmc   +1 more source

What to Make and How to Make It: Combining Machine Learning and Statistical Learning to Design New Materials

Advanced Intelligent Discovery, EarlyView.
Combining machine learning and probabilistic statistical learning is a powerful way to discover and design new materials. A variety of machine learning approaches can be used to identify promising candidates for target applications, and causal inference can help identify potential ways to make them a reality.
Jonathan Y. C. Ting, Amanda S. Barnard
wiley   +1 more source

Occurrence and Characterization of Acrylate-Based Self-Polishing Copolymer Anti-Fouling Paint Particles (SPC-APPs) in the Sediments of the Yangtze River Estuary. [PDF]

Toxics
Zhang C, Zhou J, Wu D.
europepmc   +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

Correction to: Dissecting the contributions of organic nitrogen aerosols to global atmospheric nitrogen deposition and implications for ecosystems. [PDF]

Natl Sci Rev
Li Y, Fu TM, Yu JZ, Yu X, Chen Q, Miao R, Zhou Y, Zhang A, Ye J, Yang X, Tao S, Liu H, Yao W.   +12 more
europepmc   +1 more source

A Review on Recent Trends of Bioinspired Soft Robotics: Actuators, Control Methods, Materials Selection, Sensors, Challenges, and Future Prospects

Advanced Intelligent Systems, Volume 7, Issue 3, March 2025.
This article reviews the current state of bioinspired soft robotics. The article discusses soft actuators, soft sensors, materials selection, and control methods used in bioinspired soft robotics. It also highlights the challenges and future prospects of this field.
Abhirup Sarker, Tamzid Ul Islam, Md. Robiul Islam   +2 more
wiley   +1 more source