Results 121 to 130 of about 4,926,046 (277)

Unlock the Walnut: How a Pectin‐Rich Suture Tissue and Moisture‐Driven Crack Formation Induce Shell Splitting and Facilitate Seed Germination

open access: yesAdvanced Functional Materials, EarlyView.
Walnut seeds are enclosed in a remarkably strong shell made of sclerenchyma, separated by a pectin‐rich suture tissue. Different cell shapes and chemical composition of this tissue point to an opening mechanism, which is triggered by cyclic humidity changes.
Sebastian J. Antreich   +3 more
wiley   +1 more source

Continuous‐Flow Photocatalytic Degradation of Glyphosate and Aminomethylphosphonic Acid Under Simulated Sunlight with TiO2‐Coated Poly(vinylidene fluoride) Membrane

open access: yesAdvanced Functional Materials, EarlyView.
Glyphosate (GLY) and its primary metabolite, aminomethylphosphonic acid (AMPA), are photodegraded using a poly(vinylidene fluoride) membrane with immobilized titanium dioxide (PVDF‐TiO2) in a continuous flow‐through operation under solar light. At optimized conditions, the PVDF‐TiO2 membrane achieved 95% GLY and 80% AMPA removal with •O2− as the ...
Phuong B. Trinh   +4 more
wiley   +1 more source

Decision trees

open access: yesEPJ Web of Conferences, 2010
Coadou Yann
doaj   +1 more source

Toward the 3rd Generation of Smart Farming: Materials, Devices, and Systems for E‐Plant Technologies

open access: yesAdvanced Functional Materials, EarlyView.
This review explores the latest developments in e‐plant technologies, which are revolutionizing smart farming by enabling real‐time monitoring of plant and environmental conditions. It covers the design, applications, and systems of e‐plant devices, detailing how they integrate data analytics to optimize agricultural practices, enhance crop yields, and
Daegun Kim   +5 more
wiley   +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

The Realization of Multidirectional, Free‐Standing 3D Plasmonic Nanostructures via 3D Nanoprinting: A Case Study of Fractal Antennas

open access: yesAdvanced Functional Materials, EarlyView.
Free‐standing plasmonic gold‐based fractal antennas are fabricated by 3D nanoprinting, employing focused electron beam induced deposition and an optimized purification method to remove carbon while conserving structural fidelity. Simulation and experiment show broadband plasmonic activity, including customizable polarizability, thereby paving the way ...
Verena Reisecker   +6 more
wiley   +1 more source

Identifying relapse predictors in individual participant data with decision trees. [PDF]

open access: yesBMC Psychiatry, 2023
Böttcher L   +5 more
europepmc   +1 more source

Fast HEVC to SCC Transcoding Based on Decision Trees [PDF]

open access: green, 2018
Wei Kuang   +3 more
openalex   +1 more source

Microplastics from Wearable Bioelectronic Devices: Sources, Risks, and Sustainable Solutions

open access: yesAdvanced Functional Materials, EarlyView.
Bioelectronic devices (e.g., e‐skins) heavily rely on polymers that at the end of their life cycle will generate microplastics. For research, a holistic approach to viewing the full impact of such devices cannot be overlooked. The potential for devices as sources for microplastics is raised, with mitigation strategies surrounding polysaccharide and ...
Conor S. Boland
wiley   +1 more source

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