Results 81 to 90 of about 496,287 (303)

Multi‐Decadal Skill Variability in Predicting the Spatial Patterns of ENSO Events

Geophysical Research Letters
Seasonal hindcasts have previously been demonstrated to show multi‐decadal variability in skill across the twentieth century in indices describing El‐Niño Southern Oscillation (ENSO), which drives global seasonal predictability.
M. J. Wright, A. Weisheimer, T. Woollings   +2 more
doaj   +1 more source

Plasma Amyloid-β Oligomerization Tendency Predicts Amyloid PET Positivity

Clinical Interventions in Aging, 2021
Jung-Min Pyun,1 Ji Sun Ryu,2 Ryan Lee,2 Kyu Hawn Shim,3 Young Chul Youn,4 Nayoung Ryoo,5 Sang-Won Han,5 Young Ho Park,5 Sungmin Kang,2 Seong Soo A An,6 SangYun Kim5 1Department of Neurology, Uijeongbu Eulji Medical Center, Eulji University, Uijeongbu-si,
Pyun JM, Ryu JS, Lee R, Shim KH, Youn YC, Ryoo N, Han SW, Park YH, Kang S, An SS, Kim SY   +10 more
doaj  

Effects of Corticotropin Releasing Factor (CRF) on Sleep and Temperature Following Predictable Controllable and Uncontrollable Stress in Mice

Frontiers in Neuroscience, 2015
Corticotropin releasing factor (CRF) is a major mediator of central nervous system responses to stressors, including alterations in wakefulness and sleep.
Laurie eWellman, LINGHUI eYANG, Larry D Sanford   +2 more
doaj   +1 more source

Unleashing the Power of Machine Learning in Nanomedicine Formulation Development

Advanced 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, Cristiano Pesce, Antonietta Greco, Claudia Pisante, Greta Avancini, Valentina Di Francesco, Yosi Shamay, Paolo Decuzzi   +7 more
wiley   +1 more source

The Extension Of Torque Scheduler Allowing The Use Of Planning And Optimization In Grids

Computer Science, 2012
In this work we present a major extension of the open source TORQUE Resource Manager system. We have replaced a naive scheduler provided in the TORQUE distribution with complex scheduling system that allows to plan job execution ahead and predict the ...
Vaclav Chlumsky, Dalibor Klusacek, Miroslaw Ruda   +2 more
doaj   +1 more source

The predictability limit of the amplitude and phase of the Madden‐Julian oscillation

Atmospheric Science Letters, 2020
The Madden–Julian Oscillation (MJO) is characterized by slowly eastward‐propagating precipitation and circulation anomalies with time scales of about 30–80 days.
Deyu Lu, Ruiqiang Ding, Jianping Li
doaj   +1 more source

PEDOT‐Based Eutectogel Electrode Arrays for Enhanced High‐Resolution Electrogastrography: Fabrication, Stability, and Wearable Performance

Advanced Functional Materials, EarlyView.
Here, we present a high‐density PEDOT eutectogel electrode array for enhanced body surface gastric mapping. Silver electrodes are blade‐coated onto flexible substrates, followed by electrogelation of PEDOT:PSS and the deposition of a PEDOT:LS eutectogel.
Christopher Slaughter, Luke Gatecliff, Xudong Tao, Ruben Ruiz‐Mateos Serrano, Amy T. Jin, Matias L. Picchio, Daniele Mantione, Antonio Dominguez‐Alfaro, George G. Malliaras   +8 more
wiley   +1 more source

Challenges of Predictability and Consistency in the First Comprehensive Sotho Dictionary

Lexikos, 2012
Predictability and consistency are requirements that should run like a golden thread through the macro-, medio- as well as the microstructure of dictionary articles.
Inge Kosch
doaj   +1 more source

Predictability in Financial Markets: What Do Survey Expectations Tell Us? [PDF]

There is widespread evidence of excess return predictability in financial markets. In this paper we examine whether this predictability is related to expectational errors.
Elmar Mertens, Eric van Wincoop, Philippe Bacchetta   +2 more
core  

DNA‐Templated 2D Heterostructures as Phototriggered Dynamic Nanohybrids: From Releasing Molecular Loads to Controlling Enzyme Biocatalytic Function

Advanced Functional Materials, EarlyView.
DNA strands are employed both as dynamic linkers and nanoscale templates for the integration of Ag2S nanoparticles on MoS2, which in turn imparted photothermal responsiveness; this feature permits the selective cargo (fluorophore, quantum dots or an enzyme) release from the MoS2 surface in response to local heat induced by light irradiation.
Kai Chen, Haosen Miao, Weiying Hong, Matteo Palma   +3 more
wiley   +1 more source