Results 141 to 150 of about 106,543 (313)

A Shock‐Tube Study of the HCl + M →$\to $ H + Cl + M (M = Ar) Rate Constant Using HCl Laser Absorption Near 3.3 µm

International Journal of Chemical Kinetics, EarlyView.
ABSTRACT Hydrogen chlorine (HCl) is an important combustion intermediate during plastic (municipal waste) and composite propellant (aerospace) combustion, but the understanding of its high‐temperature chemistry is still evolving. In this study, the pyrolysis of 0.5% HCl in Ar was investigated behind reflected shock waves in a shock tube at temperatures
Claire M. Grégoire, Olivier Mathieu, Eric L. Petersen   +2 more
wiley   +1 more source

Statistical filtering to aid in the sorting of phytoplankton: The effects of image library size and phytoplankton shape

Limnology and Oceanography: Methods, EarlyView.
Abstract The demand for efficient image sorting methods has increased due to technological advancements that enable more intensive phytoplankton monitoring. Both statistical and machine learning algorithms can misidentify algal taxa in taxonomically diverse samples, in which phytoplankton morphology and image traits can vary.
Christopher R. Farrow, Josef D. Ackerman
wiley   +1 more source

Recent Advances in Photonic Bound States in the Continuum: From Fundamentals to Engineering and Implementation

Laser &Photonics Reviews, EarlyView.
This review summarizes recent progress in meta‐photonics with a focus on bound states in the continuum (BICs) as a powerful platform for light confinement and control. It covers fundamental concepts, design strategies across optical regimes, symmetry breaking for practical quasi‐BICs, tunable and AI‐assisted BIC devices, and emerging applications in ...
Hafiz Saad Khaliq, Hak‐Rin Kim
wiley   +1 more source

Deciphering the soybean root rot pathogen Phytophthora sojae: Signaling pathways, transcriptional regulation, and effector biology

New Plant Protection, EarlyView.
This review highlights how Phytophthora sojae utilizes unconventional lineage‐specific signaling networks, including unique G protein‐coupled receptor fusions, expanded kinases, and rapidly evolving effectors, to infect soybeans. Understanding these divergent molecular paradigms reveals critical vulnerabilities in this destructive pathogen, offering ...
Min Qiu, Xiaoyi Zhang, Bo Yang, Wenwu Ye, Yuanchao Wang   +4 more
wiley   +1 more source

Changes in the algal composition, bacterial metabolic activity and element content of biofilms developed on artificial substrata in the early phase of colonization [PDF]

, 2007
Changes in the algal composition and metabolic profiles of bacterial communities as well as the inorganic components were studied on artificial substrata during the early phase of biofilm formation under laboratory conditions in September 2002 and 2003 ...
Borsodi, Andrea K., Kröpfl, K., Vladár, P., Záray, Gyula, Ács, Éva   +4 more
core   +1 more source

The effects of single versus successive warm summers on an intertidal community

Oikos, EarlyView.
To accurately predict how organisms and ecological communities will respond to future conditions caused by climate change, we must consider the temporal dynamics of environmental stressors, including the effects of repeated exposures to stress. We performed a two‐year passive thermal manipulation in coastal British Columbia, Canada to determine how ...
Amelia V. Hesketh, Cassandra A. Konecny, Sandra M. Emry, Christopher D. G. Harley   +3 more
wiley   +1 more source

Digitizing collections to unlock the full potential of palynology: A case study with the Smithsonian palynology collection

PLANTS, PEOPLE, PLANET, EarlyView.
Large palynological collections have been built over decades and contain vital information. However, they are often difficult to access and use effectively. What is the point of having such collections if they are not fully utilizable? To solve this problem, we digitized the Smithsonian palynological collection using both light and confocal microscopy.
Carlos Jaramillo, Surangi W. Punyasena, Daurys de Alba, Roxana Alveo, Angelica Arcila, Jorge Bermudez, Jonatan Bustos, Dayenari Caballero‐Rodriguez, Karen Cardenas, David Caro, Francy Carvajal, Ivonne Marcela Castañeda, Shara Chaves, Carlos D'Apolito, Andres Diaz‐Jaramillo, Laura Diaz, Luisa Gomez, Mauricio León‐Carreño, Paula Lopera, Maria Alejandra Lopez, Priscila Lopez, Luke Mander, Jhonatan Martínez Murcia, Carlos Moreno, Enrique Moreno, Enrique Neyra, Brenda Orosco, Jhon Ortiz, Natalia Ossa, Natalia Ovalle, Carolina Ovalle, Angelo Plata, Ingrid Romero, Bruno Scudeiro, Silane A. F. da Silva Caminha, Axel Tejada‐Fajardo, Vinicius Do Valle, Thiago Wood   +37 more
wiley   +1 more source

Assimilation of machine‐learning‐predicted nitrate to improve the quality of phytoplankton forecasting in the shelf‐sea environment

Quarterly Journal of the Royal Meteorological Society, EarlyView.
This article demonstrates that assimilating machine‐learning‐derived surface nitrate can improve five‐day phytoplankton forecast substantially within the Met Office operational system for the Northwest European Shelf. We explain the reasons behind this improvement and propose that an online system where machine learning and data assimilation are cycled
Deep S. Banerjee, Jozef Skákala, David Ford   +2 more
wiley   +1 more source

Devilish diatoms [PDF]

Nature Chemical Biology, 2018
openaire   +2 more sources

The distribution of cytoplasmic microtubules throughout the cell cycle of the centric diatom Stephanopyxis turris: their role in nuclear migration and positioning the mitotic spindle during cytokinesis. [PDF]

, 1986
The cell cycle of the marine centric diatom Stephanopyxis turris consists of a series of spatially and temporally well-ordered events. We have used immunofluorescence microscopy to examine the role of cytoplasmic microtubules in these events.
Cande, WZ, McDonald, KL, Wordeman, L
core