Results 171 to 180 of about 48,374 (305)

Impact of Nitrogen Deposition on Carbon and Nitrogen Cycling in Peatlands Under Land‐Use Change

Land Degradation &Development, EarlyView.
ABSTRACT Increasing nitrogen (N) deposition significantly alters carbon and N dynamics in peatlands by affecting microbial processes, enhancing greenhouse gas emissions and nutrient leaching into adjacent waters. However, how peatland conversion for agriculture and forestry influences the fate of added N under elevated atmospheric deposition remains ...
Yujing Deng, Kyle S. Boodoo, Klaus‐Holger Knorr, Stephan Glatzel   +3 more
wiley   +1 more source

Lime amendment to chronically acidified forest soils results in shifts in prokaryotic communities. [PDF]

Appl Environ Microbiol
Hosmer M, Wright RJ, McCavour C, Keys K, Sterling S, Langille MGI, Rohde J.   +6 more
europepmc   +1 more source

Bio‐Based Microfluidics With Snail Slime: A By‐Product of Agriculture Plays an Exciting Role in the Chemistry of Microfluidic Reaction Chambers

Macromolecular Rapid Communications, EarlyView.
Due to a broad spectrum of active ingredients, snail slime presents a variety of exciting physical properties and chemical reactivities. Especially in the role of the reduction‐ and stabilizing agent for the manufacturing of gold nanoparticles, its great potential is revealed. Utilising the proteins found in slime, Nanoparticle‐comprising hydrogels are
Andrea Koball, Jens Gaitzsch
wiley   +1 more source

Recognizing Early Career Translational Investigators. [PDF]

JACC Basic Transl Sci
Nahrendorf M.
europepmc   +1 more source

Flame‐Assisted Modification of Glass Wettability: Preliminary Results

Macromolecular Symposia, EarlyView.
ABSTRACT Fog formation and moisture condensation limit the performance of glass surfaces in optical, microfluidic, and sensing applications, where stable transparency under humid conditions is essential. Enhancing surface wettability represents an effective strategy to mitigate these effects; therefore, the development of methods to tailor glass ...
Raffaella Griffo, Mariano Sirignano, Mario Minale, Claudia Carotenuto   +3 more
wiley   +1 more source

Causal relationship between obesity, leptin, and brain structure and functional connectivity: evidence based on bidirectional and mediation mendelian randomisation analyses. [PDF]

Nutr Metab (Lond)
Wu Y, Deng F, Bai M, Zhang G, Li Z, Wen M, Zhang J, Li R, Shi Y, Lu L, Xiao X.   +10 more
europepmc   +1 more source

GMMAS: Glioma Multiparametric MRI Analysis System for Fully‐Automated Layered Tumor Diagnosis and Prognostic Evaluation

Medicine Advances, EarlyView.
We developed the Glioma Multiparametric MRI Analysis System (GMMAS), a fully automated platform that leverages multi‐task semi‐supervised learning to diagnose gliomas from multiparametric MRI images. It provides accurate tumor segmentation, subtyping, and prognostic predictions, offering a user‐friendly tool for clinicians to enhance diagnosis and ...
Yihao Liu, Zhihao Cui, Liming Li, Junjie You, Xinle Feng, Ruixuan Huang, Jianxin Wang, Xiangyu Wang, Qing Liu, Minghua Wu   +9 more
wiley   +1 more source

Correction: Pre-pregnancy and early pregnancy dietary patterns and gestational diabetes risk among Miao women in China. [PDF]

Front Nutr
Zhang S, Ni X, Qiao T, Zhao D, Shen L, Liang Y.   +5 more
europepmc   +1 more source

Pinguicula brendae (Lentibulariaceae) sp. nov., a carnivorous plant from a tropical montane cloud forest in Hidalgo, Mexico

Nordic Journal of Botany, EarlyView.
A new species of Lentibulariaceae, Pinguicula brendae Rodríguez‐Ramírez, H.Shimai & A.R. Andrés‐Hernández, is described based on its unique morphological characteristics. This species is restricted to limestone rock walls in the San Bartolo Tutotepec municipality, central‐eastern Hidalgo, Mexico, where it inhabits a single locality on vertical, north ...
Ernesto C. Rodríguez‐ Ramírez, Hiro Shimai, Agustina R. Andrés‐ Hernández   +2 more
wiley   +1 more source

Opening the Black Box of Nonprofit Reputation and Volunteer Attraction With Supervised Machine Learning

Nonprofit Management and Leadership, EarlyView.
ABSTRACT With the aim to explore the potential of machine learning for nonprofit research, this article contrasts traditional linear regression with four contemporary supervised machine learning approaches. Concretely, we predict (1) reputation ratings and (2) the total number of volunteers for 4021 non‐profit organizations in the U.S.
Moritz Schmid, Hannes Lampe, Jurgen Willems   +2 more
wiley   +1 more source