Results 131 to 140 of about 4,109,895 (326)

Genome-wide identification and expression profiling of two-component system (TCS) genes in Brassica oleracea in response to shade stress. [PDF]

Front Genet, 2023
Sadaqat M, Umer B, Attia KA, Abdelkhalik AF, Azeem F, Javed MR, Fatima K, Zameer R, Zameer R, Nadeem M, Tanveer MH, Sun S, Ercisli S, Nawaz MA.   +13 more
europepmc   +1 more source

Advanced Flame Retardant Strategies and Fire Performance Assessment for Safer Photovoltaics in Buildings: A Two‐Part Review

Advanced Functional Materials, EarlyView.
The integration of photovoltaic (PV) systems into building structures introduces distinct fire risks with critical implications for occupant safety. This review examines the key fire hazards associated with PV implementation and explores mitigation strategies, including flame‐retardant additives.
Florian Ollagnon, Olaia Aurrekoetxea‐Arratibel, Emma Gottis, Heng‐Yu Li, Xabier Olano‐Azkune, Matthieu Despeisse, Antonin Faes, Christophe Ballif   +7 more
wiley   +1 more source

Effects of heat stress mitigation strategies on feedlot cattle performance, environmental, and economic outcomes in a hot climate

Animal
The increase in average global temperatures presents a challenge for the beef industry, especially in the feedlot sector where heat stress is a major animal welfare and economic concern.
S.E. Mejia Turcios, C.A. Rotz, J. McGlone, C.R. Rivera, F.M. Mitloehner   +4 more
doaj   +1 more source

Comparative Analysis of the Morphological, Physiological, Proteomic, and Metabolic Mechanisms of the "Biloxi" Blueberry Response to Shade Stress. [PDF]

Front Plant Sci, 2022
Wu Y, Huang Z, Zhang C, Shi C, Lyu L, Li W, Wu W.   +6 more
europepmc   +1 more source

Mechanical Properties of Architected Polymer Lattice Materials: A Comparative Study of Additive Manufacturing and CAD Using FEM and µ‐CT

Advanced Functional Materials, EarlyView.
This study examines how pore shape and manufacturing‐induced deviations affect the mechanical properties of 3D‐printed lattice materials with constant porosity. Combining µ‐CT analysis, FEM, and compression testing, the authors show that structural imperfections reduce stiffness and strength, while bulk material inhomogeneities probably enhance ...
Oliver Walker, Thierry Roland, Damien Favier, Antoine Egele, Michael Heymann, Cosima Stubenrauch   +5 more
wiley   +1 more source

Clone, natural variation analysis and development of KASP molecular markers for GmYUC2 geneto respond shade stress in soybean

Guangxi Zhiwu
YUC2 was one of the rate-limiting enzymes in auxin biosynthesis, and it involved in plant response to shade stress. In this study, Gongdou 7, an extremely shade-tolerant soybean variety was used for clone of GmYUC2 gene.
CHEN Dongliang1, TAN Yurong1, ZHANG Jiaoping2, SUN Zudong1, YANG Shouzhen1, TANG Xiangmin1, ZENG Weiying1*
doaj   +1 more source

Cool Kitchen: Processing Starch and Eggshell Powder into Sustainable Coatings for Passive Daytime Cooling

Advanced Functional Materials, EarlyView.
A food‐grade cooling composite made from starch and recycled eggshell powder offers a scalable, ultra‐low‐cost solution for passive daytime radiative cooling. Easily prepared using basic kitchen tools, this material empowers communities, even in areas with limited infrastructure, to stay cooler during worsening summer heat waves.
Qimeng Song, Evelyn Kubacki, Alexander Berger, Markus Retsch   +3 more
wiley   +1 more source

The effect of type of shade on physiology, behaviour and performance of grazing steers

Animal, 2014
Research has addressed the issue of type of shade mainly on feedlots and high-producing dairy farms, but more studies are needed on the impact of shade on grazing beef cattle in a low-to-medium plane of nutrition.
P. Rovira
doaj   +1 more source

Horticultural Studies 1999 [PDF]

, 1999
Horticultural Studies 1999 is the second edition of a Research Series dedicated to horticultural programs in the University of Arkansas Division of Agriculture and the Dale Bumpers College of Agricultural, Food and Life Sciences.
Clark, John R., Richardson, Michael D.
core   +4 more sources

Unleashing the Power of Machine Learning in Nanomedicine Formulation Development

Advanced Functional Materials, EarlyView.
A random forest machine learning model is able to make predictions on nanoparticle attributes of different nanomedicines (i.e. lipid nanoparticles, liposomes, or PLGA nanoparticles) based on microfluidic formulation parameters. Machine learning models are based on a database of nanoparticle formulations, and models are able to generate unique solutions
Thomas L. Moore, Cristiano Pesce, Antonietta Greco, Claudia Pisante, Greta Avancini, Valentina Di Francesco, Yosi Shamay, Paolo Decuzzi   +7 more
wiley   +1 more source