Results 191 to 200 of about 93,498 (290)

Dispersal and delimitation: Phylogenomics of Connaraceae prompts revised generic delimitation in Cnestideae and reveals global biogeographic patterns

TAXON, Volume 75, Issue 2, April 2026.
Abstract The tempo and mode of assembly of the world's most diverse, tropical floras remain poorly known. Evolutionary relationships within pantropical plant clades such as Connaraceae (Oxalidales, ca. 220 species) offer an opportunity to address this issue.
Serafin J.R. Streiff, Jurriaan M. de Vos
wiley   +1 more source

Optimization of tray inventory levels in hospitals from an integral perspective. [PDF]

Health Care Manag Sci
Bos H, Hosteins G, Wijnholds W, Braaksma A, Leeftink G.   +4 more
europepmc   +1 more source

Defining Scales of Field Studies and Experiments to Assess Marine Cloud Brightening

AGU Advances, Volume 7, Issue 2, April 2026.
Abstract Solar radiation modification (SRM) is being discussed as a potential option for addressing climate risks while atmospheric greenhouse gas concentrations are reduced to lower levels. However, understanding of the potential efficacy, impacts, benefits and harms of different SRM approaches remains limited.
Sarah J. Doherty, Michael S. Diamond, Robert Wood, Haruki Hirasawa   +3 more
wiley   +1 more source

pH-driven spontaneous recovery of tyrosine <i>via</i> co-precipitation in the indirect aqueous carbonation of gypsum. [PDF]

RSC Adv
Qu Y, Gong Y, Wu B, Li C, Wang L, Wang Y.   +5 more
europepmc   +1 more source

Radio Pulse Power Distribution of Lightning in Jupiter's 2021–2022 Stealth Superstorms

AGU Advances, Volume 7, Issue 2, April 2026.
Abstract Surveys and observations of lightning on Jupiter prior to the NASA Juno mission used night‐side imaging approaches, and a common conclusion was that the optical energy was similar to the highest energy terrestrial lightning flashes, or superbolts.
Michael H. Wong, Ivana Kolmašová, Fabiano A. Oyafuso, Masafumi Imai, Shinji Mizumoto, Steven M. Levin, Ramanakumar G. Sankar, Amy A. Simon, Shawn Brueshaber, Glenn S. Orton, Sushil K. Atreya, Cheng Li, Scott J. Bolton   +12 more
wiley   +1 more source

Extensions of multinomial processing tree models for continuous variables: A simulation study comparing parametric and non-parametric approaches. [PDF]

Behav Res Methods
Gutkin A, Heck DW.
europepmc   +1 more source

Robust Directional Analysis of Magnetic Microscopy Images Using Non‐Linear Inversion and Iterative Euler Deconvolution

Journal of Geophysical Research: Solid Earth, Volume 131, Issue 4, April 2026.
Abstract In paleomagnetism, bulk measurements of entire samples have traditionally been used to characterize remanent magnetization. While effective, this approach provides only a general directional estimate and cannot resolve spatial variability or magnetization at the grain scale.
Gelson F. Souza‐Junior, Leonardo Uieda, Ricardo I. F. Trindade, Roger R. Fu, Ualisson D. Bellon, Yago M. Castro   +5 more
wiley   +1 more source

Machine learning based variance estimation under two phase sampling using health and education sector data. [PDF]

Sci Rep
Al-Marzouki S, Nafisah IA, Dalam MEE, Iqbal K, Sami F, Almazah MMA.   +5 more
europepmc   +1 more source

A Model Intercomparison Study to Investigate Mixing Characteristics in Non‐Precipitating Stratocumulus Clouds

Journal of Advances in Modeling Earth Systems, Volume 18, Issue 4, April 2026.
Abstract Recent aircraft observations of marine stratocumulus clouds consistently showed that cloud microphysical relationships vary with altitude, indicating inhomogeneous mixing characteristics near cloud top and homogeneous mixing characteristics in mid‐levels of clouds.
Fan Yang, Kyoung Ock Choi, Kamal Kant Chandrakar, Fabian Hoffmann, Pei Hou, Steve Krueger, Chunsong Lu, Mikhail Ovchinnikov, Yangze Ren, Shin‐ichiro Shima, Peng Wu, Chongzhi Yin, Zeen Zhu, Seong Soo Yum   +13 more
wiley   +1 more source

Data‐driven discovery of mechanistic ecosystem models with LLMs

Methods in Ecology and Evolution, Volume 17, Issue 4, Page 1303-1321, April 2026.
Abstract Ecosystem models are essential for ecosystem management, but their development traditionally requires significant time and expertise, creating bottlenecks in addressing urgent environmental challenges. We present LEMMA (LLM Enabled Mechanistic Modelling for ecosystem Assessment), a framework that programmatically generates and iteratively ...
Scott Spillias, Jacob G. D. Rogers, Fabio Boschetti, Elizabeth A. Fulton, Magda Guglielmo, Suk Yee Yong, Rowan Trebilco   +6 more
wiley   +1 more source