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Improving Distributed Renewable Energy Power Planning Through Particle Swarm Algorithm
The ongoing energy structure reform in our country has led to the emergence of distributed renewable energy as a primary source of energy development and utilization, primarily due to its utilization of local resources. However...
Short-Term Photovoltaic System Output Power Prediction Based on Integrated Deep Learning Algorithms in the Clean Energy Sector
Photovoltaic power generation system plays an important role in renewable energy. Therefore, accurately predicting the short-term output power of photovoltaic system has become a key challenge for real-time power grid...
Secure Transmission Method of Power Quality Data in Power Internet of Things Based on the Encryption Algorithm
As a new mobile communication technology in the era of the internet of things, 5G is characterized by high speed, low delay, and large connection. It is a network infrastructure to realize human-computer and internet of things...
Bleached Light Verb in Future Tense in Mandarin
Xiaoya YE
Mar 27, 2018
In Mandarin, “yao” has more than one meaning. It can be used as a regular verb which means “to want”; it can also be used as a future tense indicator which means “will” or “shall”. The author's hypothesis in this paper is that...
Managing employee attention and internal branding
We extend the marketing literature on internal branding by developing a theoretical framework to explain the processes whereby brand orientation affects in- and extra-role employee brand-building behavior from the theoretical...
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Bayesian semi-supervised learning for uncertainty-calibrated prediction of molecular properties and active learning.
Yao Zhang, Alpha A Lee
Jan 27, 2020
Predicting bioactivity and physical properties of small molecules is a central challenge in drug discovery. Deep learning is becoming the method of choice but studies to date focus on mean accuracy as the main metric. However...
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Managing employee attention and internal branding
We extend the marketing literature on internal branding by developing a theoretical framework to explain the processes whereby brand orientation affects in- and extra-role employee brand-building behavior from the theoretical...
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Dancing to a different tune, can we switch from chemical to biological nitrogen fixation for sustainable food security?
Our current food production systems are unsustainable, driven in part through the application of chemically fixed nitrogen. We need alternatives to empower farmers to maximise their productivity sustainably. Therefore, we...
Published by: PLoS biology
ELM
It is often necessary to precisely quantify the size of specimens in biological studies. When measuring feature size in fluorescence microscopy, significant biases can arise due to blurring of its edges if the feature is smaller...
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Germanium-lead perovskite light-emitting diodes.
Reducing environmental impact is a key challenge for perovskite optoelectronics, as most high-performance devices are based on potentially toxic lead-halide perovskites. For photovoltaic solar cells, tin-lead (Sn-Pb) perovskite...
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Bayesian semi-supervised learning for uncertainty-calibrated prediction of molecular properties and active learning.
Yao Zhang, Alpha A Lee
Sep 06, 2019
Predicting bioactivity and physical properties of small molecules is a central challenge in drug discovery. Deep learning is becoming the method of choice but studies to date focus on mean accuracy as the main metric. However...
Published by:
Investigating Host and Parasitic Plant Interaction by Tissue-Specific Gene Analyses on Tomato and Cuscuta campestris Interface at Three Haustorial Developmental Stages.
Parasitic weeds cause billions of dollars in agricultural losses each year worldwide. Cuscuta campestris (C. campestris), one of the most widespread and destructive parasitic plants in the United States, severely reduces yield...
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A fabrication method of gold coated colloidosomes and their application as targeted drug carriers.
Colloidosomes have attracted considerable attention in recent years because of their potential applications in a range of industries, such as food, bioreactors and medicine. However, traditional polymer shell colloidosomes leak...
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Identifying degradation patterns of lithium ion batteries from impedance spectroscopy using machine learning.
Forecasting the state of health and remaining useful life of Li-ion batteries is an unsolved challenge that limits technologies such as consumer electronics and electric vehicles. Here, we build an accurate battery forecasting...
Published by: Nature Communications
Identifying degradation patterns of lithium ion batteries from impedance spectroscopy using machine learning
Abstract: Forecasting the state of health and remaining useful life of Li-ion batteries is an unsolved challenge that limits technologies such as consumer electronics and electric vehicles. Here, we build an accurate battery...
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