Results 121 to 130 of about 130,972 (261)
L-Glutamine Modulates Root Architecture and Hormonal Balance in Arabidopsis. [PDF]
Pařízková B +5 more
europepmc +1 more source
Microbe-induced drought tolerance by ABA-mediated root architecture and epigenetic reprogramming. [PDF]
Alwutayd KM +14 more
europepmc +1 more source
This article presents the design, modeling, and characterization of air‐pressure–actuated programmable vibroacoustic metamaterials (PVAMM). The study focuses on leveraging air pressure to dynamically tune resonance frequencies for effective noise attenuation.
William Kaal +2 more
wiley +1 more source
Drought adaptation in spring wheat seedlings relies on coordinated deep root architecture and cortical tissue allocation. [PDF]
Li X +9 more
europepmc +1 more source
A unified research data management framework for heterogeneous materials data is presented. The system integrates multimodal datasets using ontologies and knowledge graphs, enabling interoperability and FAIR (findable, accessible, interoperable, reusable) data principles. By linking data across scales and workflows, it supports reproducible, Artifitial
Doaa Mohamed +6 more
wiley +1 more source
Effects of Exogenous Phosphorus and Hydrogen Peroxide on Wheat Root Architecture. [PDF]
Chen L, Zhou L, Zhang Y, Wang H.
europepmc +1 more source
Mg–Zn composites with a thickness of 0.21 mm were fabricated using roll bonding of a kirigami‐patterned Mg alloy inlay within a Zn matrix. Thermal activation following this process led to the formation of tailored intermetallic structures, which provided the composite with enhanced flexural strength.
Yaroslav Frolov +4 more
wiley +1 more source
Optimizing root architecture with nitrogen fertilization to improve nitrogen accumulation and yield in soybean. [PDF]
Xu Y, Zhang J, Gao Q, Wang C.
europepmc +1 more source
Effects of stumping on fine root architecture, growth, and physiology of Hippophae rhamnoides. [PDF]
Wang H, Qi W, Guo Y, Xu Y.
europepmc +1 more source
A simplified thermoplastic pultrusion model is developed to predict thermal fields in glass fiber/polyethylene terephthalate (GF/PET) composites with reduced computational cost. By combining effective material homogenization, validation against literature data, and Gaussian‐process‐based optimization, the study reveals how heating limits, pulling speed,
Elder Soares +3 more
wiley +1 more source

