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Results: 1375
Intercalation of few-layer graphite flakes with FeCl3
We use anhydrous ferric chloride (FeCl(3)) to intercalate graphite flakes consisting of 2-4 graphene layers and to dope graphene monolayers. The intercalant, staging, stability, and doping of the resulting intercalation...
Residential Electricity Consumption Prediction Method Based on Deep Learning and Federated Learning Under Cloud Edge Collaboration Architecture
Traditional residential electricity prediction methods have problems, such as difficulty in ensuring user privacy and poor convergence speed due to the influence of Different Residential Electricity Consumption (REC) habits. A...
Published by: IGI Global Scientific Publishing
Deep Learning for Household Load Forecasting – A Novel Pooling Deep RNN
The key challenge for household load forecasting lies in the high volatility and uncertainty of load profiles. Traditional methods tend to avoid such uncertainty by load aggregation (to offset uncertainties), customer...
Mapping Progressive Gray Matter Alterations in Early Childhood Autistic Brain.
Xiaonan Guo, Xujun Duan, John Suckling, Jia Wang, Xiaodong Kang, Heng Chen, Bharat B Biswal, Jing Cao, Changchun He, Jinming Xiao, Xinyue Huang, Runshi Wang, Shaoqiang Han, Yun-Shuang Fan, Jing Guo, Jingping Zhao, Lijie Wu, Huafu Chen
Nov 09, 2020
Autism spectrum disorder is an early-onset neurodevelopmental condition. This study aimed to investigate the progressive structural alterations in the autistic brain during early childhood. Structural magnetic resonance imaging...
granger causality Autism spectrum disorder gray matter volume Neurodevelopment structural magnetic resonance imaging Autism spectrum disorder Brain Brain Mapping Child Child Preschool Cross-Sectional Studies Female Gray Matter Humans Image Interpretation Computer-Assisted Magnetic Resonance Imaging Male
Xenopus DPPA2 is a Direct Inhibitor of Microtubule Polymerization Required for Nuclear Assembly
John Zhao Xue
Jan 01, 0001
The eukaryotic nucleus mediates the genomic functions of information storage and gene expression, but must be completely rebuilt after every open mitosis as well as during fertilization. Nuclear abnormalities are observed in...
Published by: Rockefeller University
Variable Selection for a Categorical Varying-Coefficient Model with Identifications for Determinants of Body Mass Index
Obesity has become one of the major public health issues during the last three decades. A considerable number of determinants have been proposed for body mass index (BMI) by a large range of studies from multiple disciplines. In...
A Pricing Strategy Reflecting the Cost of Power Volatility to Facilitate Decentralized Demand Response
Previous pricing strategies including time-of-use price and dynamic price reflect system marginal cost and calculate consumers’ bills according to the quantity of their electricity usage. Little effort is made to understand the...
The use of thaumatin and bovine serum albumin as proteins in model wine solutions in bentonite fining
This study examined the viability of using thaumatin and bovine serum albumin (BSA) as proteins in model wine solutions for bentonite fining studies and compared them with unfined New Zealand sauvignon blanc (SB) wine. Bentonite...
MD-S3C3
In medical data sharing, the data access control authorities of the sharing entities and computing capabilities of the sharing platforms are asymmetric. This asymmetry leads to poor patient control over their data, privacy...
Published by: IGI Global Scientific Publishing
A Pricing Strategy Reflecting the Cost of Power Volatility to Facilitate Decentralized Demand Response
Previous pricing strategies including time-of-use price and dynamic price reflect system marginal cost and calculate consumers’ bills according to the quantity of their electricity usage. Little effort is made to understand the...
Deep Learning for Household Load Forecasting – A Novel Pooling Deep RNN
The key challenge for household load forecasting lies in the high volatility and uncertainty of load profiles. Traditional methods tend to avoid such uncertainty by load aggregation (to offset uncertainties), customer...
Variable Selection for a Categorical Varying-Coefficient Model with Identifications for Determinants of Body Mass Index
Obesity has become one of the major public health issues during the last three decades. A considerable number of determinants have been proposed for body mass index (BMI) by a large range of studies from multiple disciplines. In...
A Statistical Approach to Estimate Imbalance-Induced Energy Losses for Data-Scarce Low Voltage Networks
Phase imbalance in the U.K. and European low-voltage (415 V, LV) distribution networks causes additional energy losses. A key barrier against understanding the imbalance-induced energy losses is the absence of high-resolution...
The use of thaumatin and bovine serum albumin as proteins in model wine solutions in bentonite fining
This study examined the viability of using thaumatin and bovine serum albumin (BSA) as proteins in model wine solutions for bentonite fining studies and compared them with unfined New Zealand sauvignon blanc (SB) wine. Bentonite...
Control of Raman Scattering Quantum Interference Pathways in Graphene.
Xue Chen, Sven Reichardt, Miao-Ling Lin, Yu-Chen Leng, Yan Lu, Heng Wu, Rui Mei, Ludger Wirtz, Xin Zhang, Andrea C Ferrari, Ping-Heng Tan
Apr 09, 2023
Quantum Interference Graphite Intercalation Compounds Electron−electron Interaction Electron−phonon Coupling Resonant Raman Scattering
Published by: ACS nano
Evaluation of Fault Levels and Power Supply Network Impedances in 230/400V 50Hz Generic Distribution Systems
In this paper, typical strengths, fault levels and source impedances are thoroughly analysed and calculated for the study of quality of supply in 230/400V 50Hz distribution systems. Considering all the disparity in distribution...
Evaluation of Fault Levels and Power Supply Network Impedances in 230/400V 50Hz Generic Distribution Systems
In this paper, typical strengths, fault levels and source impedances are thoroughly analysed and calculated for the study of quality of supply in 230/400V 50Hz distribution systems. Considering all the disparity in distribution...
A Statistical Approach to Estimate Imbalance-Induced Energy Losses for Data-Scarce Low Voltage Networks
Phase imbalance in the U.K. and European low-voltage (415 V, LV) distribution networks causes additional energy losses. A key barrier against understanding the imbalance-induced energy losses is the absence of high-resolution...
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