Results 111 to 120 of about 134,154 (295)
Measuring reproducibility of high-throughput experiments
, 2011 Reproducibility is essential to reliable scientific discovery in high-throughput experiments. In this work we propose a unified approach to measure the reproducibility of findings identified from replicate experiments and identify putative discoveries ...
Bickel, Peter J. +3 more
core +1 more source
Parallel 3D Bioprinting on SLIPS‐Microarrays
Advanced Functional Materials, EarlyView.This work introduces the first truly parallel 3D bioprinting method, enabling both the simultaneous fabrication of hundreds of cell laden hydrogel 3D structures and their HTS in individual liquid compartments. By integrating Digital Light Processing (DLP) stereolithography with functional micropatterns, the platform decouples printing time from array ...
Julius von Padberg +3 more
wiley +1 more source
USE OF PROBABILISTIC CASH FLOWS IN ANALYZING INVESTMENTS UNDER CONDITIONS OF RISK AND UNCERTAINTY [PDF]
Risk and Uncertainty,
Mapp, Harry P., Jr. +1 more
core +1 more source
Uncovering the Origin of Efficiency Roll‐Off in TADF OLEDs
Advanced Functional Materials, EarlyView.OLEDs based on thermally activated delayed fluorescent (TADF) materials often suffer from a severe drop in efficiency at high brightness levels. This work presents a technique to uncover the source of this efficiency drop, and quantifies the exciton‐exciton and exciton‐polaron annihilation processes responsible for efficiency losses in our TADF OLEDs ...
Liam G. King +3 more
wiley +1 more source
Multi-disciplinary robust design of variable speed wind turbines [PDF]
, 2011 This paper addresses the preliminary robust multi-disciplinary design of small wind turbines. The turbine to be designed is assumed to be connected to the grid by means of power electronic converters.
Campobasso, Michele Sergio +4 more
core
Combining Probabilistic Load Forecasts
, 2018 Probabilistic load forecasts provide comprehensive information about future load uncertainties. In recent years, many methodologies and techniques have been proposed for probabilistic load forecasting.
Hong, Tao +5 more
core +1 more source
Speckle‐Engineered Upconversion Amplification in Nanoemulsion‐Templated Hydrogel Microdomes
Advanced Functional Materials, EarlyView.Nanoemulsion‐confined PEGDA microdomes generate speckle‐like excitation fields that strongly amplify upconversion luminescence upon dehydration, enabling filter‐free visible readout with reversible on–off switching. DMD‐based lithography yields scalable, shape‐programmable arrays for moisture‐responsive displays and optical encryption.
Chaeyeong Ryu +13 more
wiley +1 more source
Discover SustainabilityCO $$_2$$ 2 sequestration in subsurface shale formations is a promising strategy for reducing atmospheric carbon emissions. This study evaluates the potential of CO $$_2$$ 2 storage in a shale-gas well from the Marcellus shale formation using a numerical
Emre Artun +3 more
doaj +1 more source
An Unsupervised Deep Learning Approach for Scenario Forecasts
, 2018 In this paper, we propose a novel scenario forecasts approach which can be applied to a broad range of power system operations (e.g., wind, solar, load) over various forecasts horizons and prediction intervals. This approach is model-free and data-driven,
Chen, Yize, Wang, Xiyu, Zhang, Baosen
core +1 more source
Advanced Functional Materials, EarlyView.A swelling‐programmed micropatterned hydrogel guides adherent cells through a controlled transition from cell–matrix anchoring to cadherin‐mediated cell–cell compaction, enabling rapid assembly of high‐viability spheroids with defined size and morphology.
Han Gyeol Nam +8 more
wiley +1 more source