Results 231 to 240 of about 411,380 (346)

Bradycardia and Slowing of the Atrioventricular Conduction in Mice Lacking CaV3.1/&agr;1G T-Type Calcium Channels

open access: yesCirculation Research, 2006
M. Mangoni   +13 more
semanticscholar   +1 more source

Functional Materials for Environmental Energy Harvesting in Smart Agriculture via Triboelectric Nanogenerators

open access: yesAdvanced Functional Materials, EarlyView.
This review explores functional and responsive materials for triboelectric nanogenerators (TENGs) in sustainable smart agriculture. It examines how particulate contamination and dirt affect charge transfer and efficiency. Environmental challenges and strategies to enhance durability and responsiveness are outlined, including active functional layers ...
Rafael R. A. Silva   +9 more
wiley   +1 more source

Identification of Two Rare Variants in Iranian Families With Familial Sudden Cardiac Death. [PDF]

open access: yesInt J Genomics
Tahmasebivand M   +9 more
europepmc   +1 more source

Low threshold T‐type calcium channels as targets for novel epilepsy treatments

open access: yesBritish Journal of Clinical Pharmacology, 2014
Kim L Powell   +3 more
semanticscholar   +1 more source

Engineered Interface and Spatial Arrangement of Inorganic Components for Dendrite‐Free Li Anodes in Carbonate‐Based Electrolyte

open access: yesAdvanced Functional Materials, EarlyView.
A solid‐state ion exchange strategy constructs dentrimental Li2CO3 into a high‐modulus, high‐surface‐energy interface to enable dendrite‐free deposition of Li metal anode in the harsh carbonate‐based electrolyte. Abstract The practical application of lithium metal batteries (LMBs) in carbonate‐based electrolytes is hindered by uncontrolled lithium (Li)
Qiannan Zhao   +5 more
wiley   +1 more source

Divergent Effects of Calcium Channel Modulators on H-Reflex Excitability in Fatigued Rat Muscle. [PDF]

open access: yesInt J Mol Sci
Maznychenko A   +7 more
europepmc   +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

Using In Situ TEM to Understand the Surfaces of Electrocatalysts at Reaction Conditions: Single‐Atoms to Nanoparticles

open access: yesAdvanced Functional Materials, EarlyView.
This review summarizes recent advances in closed‐cell in situ TEM strategies for accurate determination of the activity and stability of single‐atom catalyst systems during operation. Operando conditions causing dynamic changes of SAC systems are highlighted and we explain why ensemble average‐based optical techniques may benefit from the technological
Martin Ek   +4 more
wiley   +1 more source

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