Results 111 to 120 of about 17,945 (253)

Exogenous IAA application alleviated altered physiological and biochemical processes through promoting H‐ATPase and Fe chelate reductase activities in common bean (Phaseolus vulgaris L.) subjected to iron deficiency

Plant Biology, EarlyView.
Exogenous IAA supply enhances the strategy I response in common bean under iron deficiency. Abstract Iron deficiency is a common nutritional disorder observed in calcareous soils, where its resolution by classical methods has shown its failure. However, the exploitation of certain potentialities possessed by crops (rhizosphere acidification, H‐ATPase ...
K. Nsiri, M. Hmissi, N. Baccari, K. Bouzidi, M. J. G. del Rosal, A. Krouma   +5 more
wiley   +1 more source

All Is Relative—A Call for Considering “Physiologically Informed” Control Conditions to Improve the Mechanistic Understanding of the Effects of Physical Exercise on Cognition

Scandinavian Journal of Psychology, EarlyView.
ABSTRACT There is a growing interest in elucidating the mechanisms that drive the benefits of physical exercise on cognitive performance. A key element for a better understanding of a particular phenomenon (e.g., the mediators of the exercise‐cognition interaction) is the selection of an appropriate control condition/group as the basis for causal ...
Fabian Herold, Benjamin Tari, Sylwester Kujach, Olivier Dupuy, C. Shawn Green, Thomas Gronwald, Matthew Heath   +6 more
wiley   +1 more source

Pengaruh Sandwich Laminated Coco Mat Dan Chopped Strand Mat Terhadap Kekuatan Material Komposit

Semesta Teknika, 2016
The application of coco fibre is widely open. In rural area, as a main source of coco fibre, the fibre only used for cooking and family products. As the technology development, how coco fibre can applied as a part of composites materials.
Tarkono Tarkono
doaj  

Personalized Model‐Driven Interventions for Decisions From Experience

Topics in Cognitive Science, EarlyView.
Abstract Cognitive models that represent individuals provide many benefits for understanding the full range of human behavior. One way in which individual differences emerge is through differences in knowledge. In dynamic situations, where decisions are made from experience, models built upon a theory of experiential choice (instance‐based learning ...
Edward A. Cranford, Christian Lebiere, Cleotilde Gonzalez, Palvi Aggarwal, Sterling Somers, Konstantinos Mitsopoulos, Milind Tambe   +6 more
wiley   +1 more source

High‐throughput phenotyping for the prediction and quantification of flower‐related traits in sugarcane

The Plant Phenome Journal, Volume 9, Issue 1, December 2026.
Abstract Sugarcane (Saccharum spp.), a C4 plant, is a vital renewable biofuel and sugar source for industries worldwide. However, synchronizing flowering between parental lines often poses challenges for breeders, hindering effective crossbreeding efforts.
Paulo H. da Silva Santos, João R. Vieira Manechini, Carlos Augusto Dias Kanthack Jr., Mauro Alexandre Xavier, Samira Domingues Carlin, Dilermando Perecin, Thiago G. Marconi, Leandro G. Marconi, Elisson Antonio da Costa Romanel, Stephen Derek Jackson, Marcos. G. A. Landell, Luciana R. Pinto   +11 more
wiley   +1 more source

Designing Artificial Intelligence Tools to Strengthen Human Connection in Healthcare: The CoCo Experience. [PDF]

J Patient Exp
Elias RM, Grimsley SM, Werneburg BL, Stevens SK, Kane S.   +4 more
europepmc   +1 more source

High‐throughput image‐based phenotyping of soybean hilum color

The Plant Phenome Journal, Volume 9, Issue 1, December 2026.
Abstract Hilum color in soybean (Glycine max [L.] Merr.) is an important morphological trait influencing market classification and seed quality traits, yet its phenotyping is largely subjective, relying on visual inspection and assignment to one of eight color classes. This study developed an image‐based high‐throughput pipeline to measure and classify
Katherine Fortune, Ali Heidari, Milad Eskandari   +2 more
wiley   +1 more source

A high-resolution beach imagery dataset with COCO annotations for deep learning-based <i>Sargassum</i> monitoring in coastal environments. [PDF]

Data Brief
Arellano-Verdejo J, Lazcano-Hernandez HE, Trejo-Morales A, Romero MS.   +3 more
europepmc   +1 more source

Automatic measurement of rice tiller angle from unmanned aerial vehicle images

The Plant Phenome Journal, Volume 9, Issue 1, December 2026.
Abstract Rice (Oryza sativa L.) tiller angle is an important trait that influences plant architecture, canopy light interception, and yield potential. In this study, we proposed a deep learning‐based pipeline for automated measurement of rice tiller angle and plant base width using unmanned aerial vehicle (UAV) imagery.
Tan‐Hanh Pham, Yubin Yang, Jing Zhang, Sanai Li, Stanley Omar P. B. Samonte, Fugen Dou, Darlene Sanchez, Lloyd T. Wilson, Tanumoy Bera, Jing Wang, Kim‐Doang Nguyen   +10 more
wiley   +1 more source

Comparative Analysis of Two Dietary Saturated Fat Types on Metabolite Profiles Crossing the Blood-Brain Barrier of Poultry Chicks. [PDF]

Metabolites
Orimaye OE, Omaliko PC, Lichti NI, Cooper BR, Fasina YO.   +4 more
europepmc   +1 more source