Results 201 to 210 of about 528,430 (305)

Viruses are a key regulator of the microbial carbon cycle in the deep-sea biosphere. [PDF]

Environ Sci Ecotechnol
Zhang X, He T, Zhou J, Zhang X.
europepmc   +1 more source

Solution‐Processed Two‐Dimensional Indium Oxide on Sodium‐Embedded Alumina for Reconfigurable Optoelectronic Synaptic Transistors

Advanced Functional Materials, EarlyView.
Wafer‐scale two‐dimensioanl In2Se3 oxidized into InOx on sodium‐embedded beta‐alumina enables multifunctional reconfigurable electronics. Sodium ions accumulate within distinct spatial distribution under drain‐controlle and gate‐controlled operation. Drain‐control operation gives controllability of ultraviolet‐driven optoelectronic synaptic conductance
Jinhong Min, Yonghyun Albert Kwon, Hyunbin Kim, Jihyun Kim, Myeongjin Jung, Jaewon Heo, Gwang Ya Kim, Vlastimil Mazanek, Zdeněk Sofer, In Soo Kim, Jeong Ho Cho, Hyesung Park, Sang Min Won, Joohoon Kang   +13 more
wiley   +1 more source

Climate-carbon-cycle interactions and spatial heterogeneity of the late Triassic Carnian pluvial episode. [PDF]

Nat Commun
Zhao X, Xue N, Yang H, Zheng D, Peng J, Frieling J, De Vleeschouwer D, Fu X, Jia W, Fang Y, Li S, Wang M, Zhao X, Wang Q, Zhang H, Sha J, Jenkyns HC, Claeys P, Wang B.   +18 more
europepmc   +1 more source

Texoskeletons: Developing the Fundamental Technologies for Creating Intelligent Soft Robotic Clothing With Integrated 1D Sensors and Actuators

Advanced Functional Materials, EarlyView.
ABSTRACT Traditional wearable exoskeletons rely on rigid structures, which limit comfort, flexibility, and everyday usability. This work introduces the fundamental technologies to create the first soft, lightweight, intelligent textile‐based exoskeletons (Texoskeletons) built using 1D sensors and actuators.
Amy Lukomiak, Rameesh Bulathsinghala, Jack Varga, Shuxin Meng, Kalana Marasinghe, Imaad Refai, Biyon Fernando, Amitkumar Patel, Chamika M. Halloluwa‐Arachchige, Carlos Oliveira, Arash M. Shahidi, Zahra Rahemtulla, Alexander Turner, Ziyun Ding, Bernard X. W. Liew, Andy Kerr, Ezio Preatoni, Theo Hughes‐Riley, Ishara Dharmasena, Pasindu Lugoda   +19 more
wiley   +1 more source

Glacial-interglacial atmospheric CO2 change: a possible "standing volume" effect on deep-ocean carbon sequestration

So far, the exploration of possible mechanisms for glacial atmospheric CO2 drawdown and marine carbon sequestration has tended to focus on dynamic or kinetic processes (i.e. variable mixing-, equilibration- or export rates).
Skinner, L. C.
core  

Osmoregulation by the gastro-intestinal tract of marine fish at depth - implications for the global carbon cycle. [PDF]

J Exp Biol
Grosell M, Marek B, Walls S, Pope C, Sam C, Heuer RM, Oehlert AM.   +6 more
europepmc   +1 more source

Exploring an Alternative to mRNA Vaccine Cold Chain Storage: MRNA‐Lipid Nanoparticle Stability When Dried in a Polymer Matrix

Advanced Functional Materials, EarlyView.
The nanostructure, size, and function of mRNA‐loaded lipid nanoparticles are evaluated before drying, within polymer microneedles, and after rehydration. The results reveal the polymer and LNP loadings required to recover nanostructure and preserve the delivery performance in dry‐state formulations.
Brendan P. Dyett, Shahad K. Alsaiari, John L. Daristotle, Timothy A. Forster, Alicia Lau, Dhruv Varshney, Rania Afaneh, Andrew R. Hanna, Charles Sloane, David Mankus, Haitao Yu, Jiali Zhai, DongSoo Yun, Lisa H. Tostanoski, Abigail Lytton‐Jean, Dan H. Barouch, Charlotte E. Conn, Robert Langer, Ana Jaklenec, Calum J. Drummond   +19 more
wiley   +1 more source

1. Carbon Cycle Project Overview and Authors [PDF]

, 2017
NH GLOBE Carbon Cycle Protocol team
core  

Closing the geologic carbon cycle. [PDF]

Proc Natl Acad Sci U S A
Derry LA.
europepmc   +1 more source

Machine Learning‐Assisted Inverse Design of Soft and Multifunctional Hybrid Liquid Metal Composites

Advanced Functional Materials, EarlyView.
A machine learning framework is presented for inverse design of synthesizable multifunctional composites containing both liquid metal and solid inclusions. By integrating physics‐based modeling, data‐driven prediction, and Bayesian optimization, the approach enables intelligent design of experiments to identify optimal compositions and realize these ...
Lijun Zhou, Yunsik Ohm, Ren‐Mian Chin, Olivia Kerr, Krithika Manohar, Mohammad H. Malakooti   +5 more
wiley   +1 more source