Results 141 to 150 of about 77,064 (276)

Gibbs Free Energy of Formation for Selected Platinum Group Minerals (PGM) [PDF]

, 2016
Spiros Olivotos, Maria Economou-Eliopoulos   +1 more
openalex   +1 more source

Biorecovery of PGMs: Electron donor and metal loading controls microbial Pd nanoparticle size, location and catalytic properties [PDF]

, 2023
Christopher Egan-Morriss, Nigel A. Powell, Richard L. Kimber, Sarah J. Haigh, Jonathan R. Lloyd   +4 more
openalex   +1 more source

Space Correlation Constrained Physics Informed Neural Network for Seismic Tomography

Journal of Geophysical Research: Machine Learning and Computation, Volume 3, Issue 2, April 2026.
Abstract Physics‐informed neural networks (PINNs) integrate physical constraints with neural architectures and leverage their nonlinear fitting capabilities to solve complex inverse problems. Tomography serves as a classic example, aiming to reconstruct subsurface velocity models to improve seismic exploration.
Yonghao Wang, Zhuo Jia, Bowu Jiang, Wenkai Lu   +3 more
wiley   +1 more source

PGMS: A Case Study of Collecting PDA-Based Geo-Tagged Malaria-Related Survey Data [PDF]

, 2014
Ying Zhou, Neil F. Lobo, Adam Wolkon, John E. Gimnig, Alpha Malishee, Jennifer C. Stevenson, Sulistyawati Sulistyawati, Frank H. Collins, Greg Madey   +8 more
openalex   +1 more source

First Detection of Lactococcus formosensis subsp. formosensis in Rainbow Trout (Oncorhynchus mykiss) in Europe

Journal of Fish Diseases, Volume 49, Issue 4, April 2026.
ABSTRACT Lactococcus garvieae, Lactococcus petauri and Lactococcus formosensis are etiological agents of piscine lactococcosis, a disease reported in Italy since the early 1990s and linked to significant aquaculture losses. To the best of our knowledge, this study reports the first detection of L. formosensis subsp. formosensis in farmed rainbow trout (
Silvia Colussi, Giuseppe Esposito, Khalid Shahin, Pier Luigi Acutis, Lucio Fariano, Claudio Ghittino, Maria Goria, Fabio Bondavalli, Paolo Ajmone Marsan, Giorgia Bignami, Elena Bozzetta, Marino Prearo, Paolo Pastorino   +12 more
wiley   +1 more source

Tsumoite (BiTe) and associated Ni-PGE mineralization from Gondpipri mafic-ultramafic complex, Bastar Craton, Central India: mineralogy and genetic significance

Open Geosciences, 2014
Dora M., Singh H., Kundu A., Shareef M., Randive K., Joshi S.   +5 more
doaj   +1 more source

PERBANDINGAN KEMAMPUAN MEMBACA PERMULAAN ANTARA SISWA KELAS I MELALUI TK DENGAN TIDAK MELALUI TK DI MI PGM KOTA CIREBON

, 2016
Ai Sabrina, Idah Faridah Laily
openalex   +2 more sources

Financial Time Series Uncertainty: A Review of Probabilistic AI Applications

Journal of Economic Surveys, Volume 40, Issue 2, Page 915-953, April 2026.
ABSTRACT Probabilistic machine learning models offer a distinct advantage over traditional deterministic approaches by quantifying both epistemic uncertainty (stemming from limited data or model knowledge) and aleatoric uncertainty (due to inherent randomness in the data), along with full distributional forecasts.
Sivert Eggen, Tord Johan Espe, Kristoffer Grude, Morten Risstad, Rickard Sandberg   +4 more
wiley   +1 more source

Harnessing Controlled Dealloying–Support Coupling for Ultrastable PtNi Catalysts in PEMFC Applications

Angewandte Chemie, Volume 138, Issue 12, 16 March 2026.
A controllable alloying–dealloying strategy constructs PtNi core–shell nanoparticles confined within an N‐doped carbon framework. Selective ammonia‐assisted dealloying forms a Pt‐rich shell while immobilizing Ni as Ni–N/C moieties, synergistically stabilizing the catalyst.
Fei Guo, Manxi Gong, Longxiang Liu, Bochen Li, Ruwei Chen, Mengjun Gong, Wei Zong, Jianuo Chen, Qi Li, Jing Li, Yunpeng Zhong, Zeyi Zhang, Jianrui Feng, Rhodri Jervis, Guanjie He   +14 more
wiley   +2 more sources

Multi‐Omics Combined With Mitochondrial Feeding Assays Reveal a Novel Energy Metabolism Strategy for Floral Thermogenesis in Magnolia Driven by Synergistic Supply of Multiple Substrates

Plant Biotechnology Journal, Volume 24, Issue 4, Page 2169-2183, April 2026.
ABSTRACT The high demand for energy during floral thermogenesis drives the synergistic operation of multiple energy substrates for the rapid temperature rise and successful reproduction of flowers. However, how thermogenic plants precisely regulate substrate supply and metabolic pathways within a short time to support large‐scale energy and heat ...
Siqin Wang, Jiying Li, Zhang Wang, Miao Yu, Chang Liu, Dongye Liu, Ruohan Wang   +6 more
wiley   +1 more source