Results 91 to 100 of about 6,883,757 (381)

Optimal tuning of a confined Brownian information engine [PDF]

open access: yesPhys. Rev. E 93, 032146 (2016), 2015
A Brownian information engine is a device extracting a mechanical work from a single heat bath by exploiting the information on the state of a Brownian particle immersed in the bath. As for engines, it is important to find the optimal operating condition that yields the maximum extracted work or power.
arxiv   +1 more source

Prediction of microgeometrical influences on micropitting fatigue damage on 32CrMoV13 steel [PDF]

open access: yes, 2013
Dr Fabre's sabbatical period at the Cardiff School of Engineering allowed the research to be conducted. Thanks are due to the M2P department of Arts et Métiers ParisTech, to Arts et Métiers ParisTech—Aix en Provence, and to the MécaSurf laboratory for ...
BARRALLIER, Laurent   +4 more
core   +5 more sources

The power of microRNA regulation—insights into immunity and metabolism

open access: yesFEBS Letters, EarlyView.
MicroRNAs are emerging as crucial regulators at the intersection of metabolism and immunity. This review examines how miRNAs coordinate glucose and lipid metabolism while simultaneously modulating T‐cell development and immune responses. Moreover, it highlights how cutting‐edge artificial intelligence applications can identify miRNA biomarkers ...
Stefania Oliveto   +2 more
wiley   +1 more source

Assessment of Simple Engineering Approaches and Poultry Manure for Soil Erosion Control Under Maize Cultivation in the Tropics

open access: yesAir, Soil and Water Research
Monitoring soil erosion is crucial for soil conservation policies, especially in tropical regions that are prone to water erosion. A 2-year field study was conducted to assess the impact of simple engineering approaches and poultry manure application on ...
Olanrewaju Hameed Ologunde   +3 more
doaj   +1 more source

Efficient yield optimization with limited gradient information [PDF]

open access: yesarXiv, 2021
In this work an efficient strategy for yield optimization with uncertain and deterministic optimization variables is presented. The gradient based adaptive Newton-Monte Carlo method is modified, such that it can handle variables with (uncertain parameters) and without (deterministic parameters) analytical gradient information.
arxiv  

Identification of novel small molecule inhibitors of ETS transcription factors

open access: yesFEBS Letters, EarlyView.
ETS transcription factors play an essential role in tumourigenesis and are indispensable for sprouting angiogenesis, a hallmark of cancer, which fuels tumour expansion and dissemination. Thus, targeting ETS transcription factor function could represent an effective, multifaceted strategy to block tumour growth. The evolutionarily conserved E‐Twenty‐Six
Shaima Abdalla   +9 more
wiley   +1 more source

Machine-Learning-Based Intelligent Framework for Discovering Refractory High-Entropy Alloys with Improved High-Temperature Yield Strength [PDF]

open access: yesarXiv, 2021
Refractory high-entropy alloys (RHEAs) are a promising class of alloys that show elevated-temperature yield strengths and have potential to use as high-performance materials in gas turbine engines. However, exploring the vast RHEA compositional space experimentally is challenging, and only a small fraction of this space has been explored to date.
arxiv  

Doping-Enhanced Short-Range Order of Perovskite Nanocrystals for Near-Unity Violet Luminescence Quantum Yield.

open access: yesJournal of the American Chemical Society, 2018
All-inorganic perovskite nanocrystals (NCs) have emerged as a new generation of low-cost semiconducting luminescent system for optoelectronic applications.
Zi-Jun Yong   +12 more
semanticscholar   +1 more source

Stable Electromyographic Sequence Prediction During Movement Transitions using Temporal Convolutional Networks

open access: yes, 2019
Transient muscle movements influence the temporal structure of myoelectric signal patterns, often leading to unstable prediction behavior from movement-pattern classification methods. We show that temporal convolutional network sequential models leverage
Betthauser, Joseph L.   +4 more
core   +1 more source

Airborne electromagnetic sea ice thickness sounding in shallow, brackish water environments of the Caspian and Baltic Seas [PDF]

open access: yes, 2006
Ice engineering projects often rely on the knowledge of ice thickness in shallow, brackish water like in the Baltic and Caspian Seas. By means of field data and model results, the paper shows that helicopter-borne electromagnetic induction measurements ...
Haas, Christian
core   +1 more source

Home - About - Disclaimer - Privacy