Results 41 to 50 of about 360,521 (299)

Differential coupling of gibberellin responses by Rht-B1c suppressor alleles and Rht-B1b in wheat highlights a unique role for the DELLA N-terminus in dormancy [PDF]

open access: yes, 2017
During the Green Revolution, substantial increases in wheat (Triticum aestivum) yields were realized, at least in part, through the introduction of the Reduced height (Rht)-B1b and Rht-D1b semi-dwarfing alleles.
Chandler, Peter Michael   +3 more
core   +1 more source

Liquid for Fused Deposition Modeling Technique (L-FDM)—A Revolution in Application Chemicals to 3D Printing Technology: Color and Elements

open access: yesApplied Sciences, 2023
This article presents a novel 3D printing technique called L-FDM (liquid for fused deposition modeling), which is based on the deposition of molten thermoplastic material.
Robert E. Przekop   +3 more
doaj   +1 more source

Affecting the Properties of Copper–Graphene Electroconductive Composite by Severe Plastic Deformation

open access: yesAdvanced Engineering Materials, EarlyView.
Copper‐based composites enhanced with carbon feature convenient mechanical properties and favorable electric conductivity. Processing via deformation and thermomechanical treatments can introduce advantageous microstructures further enhancing their performance. Herein, copper–graphene powder‐based composites are directly consolidated via rotary swaging
Radim Kocich   +3 more
wiley   +1 more source

Exploring Dipolar Dynamics and Ionic Transport in Metal‐Organic Frameworks: Experimental and Theoretical Insights

open access: yesAdvanced Functional Materials, EarlyView.
In this study, the interplay of dipolar dynamics and ionic charge transport in MOF compounds is investigated. Synthesizing the novel structure CFA‐25 with integrated freely rotating dipolar groups, local and macroscopic effects, including interactions with Cs cations are explored.
Ralph Freund   +6 more
wiley   +1 more source

Nonlinear management of the angular momentum of soliton clusters [PDF]

open access: yes, 2006
We demonstrate an original approach to acquire nonlinear control over the angular momentum of a cluster of solitary waves. Our model, derived from a general description of nonlinear energy propagation in dispersive media, shows that the cluster angular ...
A. Bishop   +17 more
core   +2 more sources

On the Development of New Revolution Typology

open access: yesУправленческое консультирование, 2018
Revolution phenomena is changes through history of humanity. Understanding of different modern political processes become possible with revolution theory. At the beginning of the XXI c.
Vitaly Aleksandrovich Volkov   +1 more
doaj  

“Colour Revolutions” and Russia

open access: yesСравнительная политика, 2015
The concept of "color revolutions" in the post-Soviet space remains popular among politicians and experts alike. However, Russia has not still developed a unified approach to the understanding of these processes.
Valery Dmitrievich Solovey
doaj   +1 more source

Electroactive Metal–Organic Frameworks for Electrocatalysis

open access: yesAdvanced Functional Materials, EarlyView.
Electrocatalysis is crucial in sustainable energy conversion as it enables efficient chemical transformations. The review discusses how metal–organic frameworks can revolutionize this field by offering tailorable structures and active site tunability, enabling efficient and selective electrocatalytic processes.
Irena Senkovska   +7 more
wiley   +1 more source

Gandhi's "Satyagraha" and European postmodern revolutions [PDF]

open access: yesSrpska Politička Misao
This paper starts with the comparison between Indian and European civilizations as the "ideal type" personifications of East and West and then turns its attention to their views toward the civil resistance manifestations in cases of illegitimate or ...
Gajić Aleksandar, Despotović Ljubiša
doaj   +1 more source

Unleashing the Power of Machine Learning in Nanomedicine Formulation Development

open access: yesAdvanced 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   +7 more
wiley   +1 more source

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