Results 71 to 80 of about 490,508 (286)

Stochasticity & Predictability in Terrestrial Planet Formation [PDF]

, 2016
Terrestrial planets are thought to be the result of a vast number of gravitational interactions and collisions between smaller bodies. We use numerical simulations to show that practically identical initial conditions result in a wide array of final ...
Grimm, Simon L., Hoffmann, Volker, Moore, Ben, Stadel, Joachim   +3 more
core   +2 more sources

Engineering Deformation and Failure in Diamond Triply Periodic Minimal Surface Lattices via 3D Wall‐Thickness Grading

Advanced Engineering Materials, EarlyView.
The work demonstrates that strategic wall‐thickness grading in diamond triply periodic minimal surface lattices enables precise tuning of deformation and failure behavior under compression. Different gradation patterns guide how and where the structure collapses, improving energy absorption or promoting controlled brittle failure.
Giovanni Rizza, Danilo Bruson, Manuela Galati, Luca Iuliano   +3 more
wiley   +1 more source

Impact of Madden–Julian Oscillation upon Winter Extreme Rainfall in Southern China: Observations and Predictability in CFSv2

Atmosphere, 2017
The impact of Madden–Julian oscillation (MJO) upon extreme rainfall in southern China was studied using the Real-time Multivariate MJO (RMM) index and daily precipitation data from high-resolution stations in China. The probability-distribution function (
Hong-Li Ren, Pengfei Ren
doaj   +1 more source

Organic Electrochemical Transistor Channel Materials: Copolymerization Versus Physical Mixing of Glycolated and Alkoxylated Polymers

Advanced Functional Materials, EarlyView.
This work discusses the use of blended channel materials in OECTs. It explores how mixing glycolated and alkoxylated polymers in various ratios offers a simpler and more efficient route to tuning OECT properties. The performance of the polymer blends is compared to the corresponding copolymers, demonstrating similar OECT characteristics, swelling ...
Lize Bynens, Kaishuai Zhang, Priscila Cavassin, Arwin Goossens, Jochen Vanderspikken, Tania C. H. Castillo, Demetra Tsokkou, Adam Marks, Arianna Magni, Karrie Weaver, Laurence Lutsen, Sahika Inal, Koen Vandewal, Natalie Banerji, Wouter Maes   +14 more
wiley   +1 more source

Improving Genomic Prediction in Cassava Field Experiments by Accounting for Interplot Competition

G3: Genes, Genomes, Genetics, 2018
Plants competing for available resources is an unavoidable phenomenon in a field. We conducted studies in cassava (Manihot esculenta Crantz) in order to understand the pattern of this competition.
Ani A. Elias, Ismail Rabbi, Peter Kulakow, Jean-Luc Jannink   +3 more
doaj   +1 more source

Ferrocene Derivatives Enable Ultrasensitive Perovskite Photodetectors with Enhanced Reverse Bias Stability

Advanced Functional Materials, EarlyView.
Novel ferrocene derivatives (e.g., FcPhc2) are used as an ultrathin layer hole‐blocking layer, reducing hole injection from the Ag contact. This results in an ultralow noise spectral density of 1.2 × 10−14 A Hz−1/2, and a high specific detectivity of 8.1 × 1012 Jones at −0.5 V.
Eunyoung Hong, William D. J. Tremlett, Lucy Hart, Beier Hu, Zhuoran Qiao, Patipan Sukpoonprom, Sarah Fearn, Edoardo Angela, Matilde Brunetta, Demosthenes C. Koutsogeorgis, Nikolaos Kalfagiannis, Davide Nodari, Martyn A. McLachlan, Piers R. F. Barnes, Artem A. Bakulin, Nicholas J. Long, Nicola Gasparini   +16 more
wiley   +1 more source

Improvements in Forecasting Intense Rainfall: Results from the FRANC (Forecasting Rainfall Exploiting New Data Assimilation Techniques and Novel Observations of Convection) Project

Atmosphere, 2019
The FRANC project (Forecasting Rainfall exploiting new data Assimilation techniques and Novel observations of Convection) has researched improvements in numerical weather prediction of convective rainfall via the reduction of initial condition ...
Sarah L. Dance, Susan P. Ballard, Ross N. Bannister, Peter Clark, Hannah L. Cloke, Timothy Darlington, David L. A. Flack, Suzanne L. Gray, Lee Hawkness-Smith, Nawal Husnoo, Anthony J. Illingworth, Graeme A. Kelly, Humphrey W. Lean, Dingmin Li, Nancy K. Nichols, John C. Nicol, Andrew Oxley, Robert S. Plant, Nigel M. Roberts, Ian Roulstone, David Simonin, Robert J. Thompson, Joanne A. Waller   +22 more
doaj   +1 more source

Precision psychiatry: predicting predictability

Psychological Medicine
AbstractPrecision psychiatry is an emerging field that aims to provide individualized approaches to mental health care. An important strategy to achieve this precision is to reduce uncertainty about prognosis and treatment response. Multivariate analysis and machine learning are used to create outcome prediction models based on clinical data such as ...
openaire   +4 more sources

3D (Bio) Printing Combined Fiber Fabrication Methods for Tissue Engineering Applications: Possibilities and Limitations

Advanced Functional Materials, EarlyView.
Biofabrication aims at providing innovative technologies and tools for the fabrication of tissue‐like constructs for tissue engineering and regenerative medicine applications. By integrating multiple biofabrication technologies, such as 3D (bio) printing with fiber fabrication methods, it would be more realistic to reconstruct native tissue's ...
Waseem Kitana, Indra Apsite, Leonid Ionov   +2 more
wiley   +1 more source

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