Results 251 to 260 of about 8,462,031 (305)

Diffusion Basis Spectrum Imaging of Tissue Microstructure and Early Treatment in Multiple Sclerosis

Annals of Clinical and Translational Neurology, EarlyView.
ABSTRACT Objective Conventional MRI cannot resolve the coexisting pathological processes within multiple sclerosis tissue. Diffusion Basis Spectrum Imaging decomposes the diffusion signal into fiber, cell, and hindered ratios indexing axonal integrity, cellularity, and extracellular space, respectively.
Apisit Kaewsanit, Aime Luna, Bradley Judge, Nicole Shelley, Karl Friedrichsen, Jayashree Rajamanickam, Zhude Tu, Yong Wang, Tammie L. S. Benzinger, Qing Wang, Matthew R. Brier   +10 more
wiley   +1 more source

New Short Term Prediction Method for Chemical Carcinogenicity by Hepatic Transcript Profiling Following 28-Day Toxicity Tests in Rats

Cancer Informatics, 2011
Hiroshi Matsumoto, Yoshikuni Yakabe, Fumiyo Saito, Koichi Saito, Kayo Sumida, Masaru Sekijima, Koji Nakayama, Hideki Miyaura, Masanori Otsuka, Tomoyuki Shirai   +9 more
doaj  

Complementing Engel Classification: Postoperative Scalp EEG as an Objective Indicator in SEEG‐Guided Radiofrequency Thermocoagulation—A Seizure‐Onset Pattern‐Based Stratified Analysis—

Annals of Clinical and Translational Neurology, EarlyView.
ABSTRACT Background Stereoelectroencephalography‐guided radiofrequency thermocoagulation (SEEG‐RFTC) is a minimally invasive therapy for drug‐resistant focal epilepsy. However, the relationship between specific seizure‐onset patterns (SOPs), particularly low‐voltage fast activity (LVFA), and postoperative scalp EEG normalization remains inadequately ...
Yi‐qing Yang, Rui Zhang, Haiyan Ma, Lu Yang, Xuefeng Qu, Qiqi Chen, Yan Zhang   +6 more
wiley   +1 more source

Associations Between Biomarkers of Alzheimer's Disease and Sleep in Cognitively Unimpaired Older Adults

Annals of Clinical and Translational Neurology, EarlyView.
ABSTRACT Objective Sleep disturbances have been implicated as a risk factor for developing Alzheimer's disease (AD), but evidence linking plasma AD biomarkers to sleep in cognitively unimpaired individuals remains limited. The present study examined associations between evening, morning, and overnight changes in plasma AD biomarkers and measures of ...
Cornelia Sauter, Hans Dorn, Julian Hellmann‐Regen, Ana Bueno‐Lopez, Verena van Ginneken, Heidi Danker‐Hopfe   +5 more
wiley   +1 more source

Improved short-term prediction of extremes

An improved system for short-term prediction of extreme precipitation ...
openaire   +1 more source

Estimating the Growth Rate and Doubling Time for Short-Term Prediction and Monitoring Trend During the COVID-19 Pandemic with a SAS Macro

, 2020
Xu S, Clarke C, Shetterly S, Narwaney K.
europepmc   +1 more source

Ultra-Short-Term Prediction of Wind Power Based on Error Following Forget Gate-Based Long Short-Term Memory

Energies, 2020
To improve the accuracy of ultra-short-term wind power prediction, this paper proposed a model using modified long short-term memory (LSTM) to predict ultra-short-term wind power.
Peng Chunhua, Chunping Li
exaly   +2 more sources

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Short term prediction of sales in supermarkets

Proceedings of ICNN'95 - International Conference on Neural Networks, 2002
In this paper artificial neural networks are applied to a short term forecast of the sale of articles in supermarkets. The times series of sales, prices and advertising campaigns are modelled to fit into feedforward multilayer perceptron networks that are trained by the backpropagation algorithm.
Frank M. Thiesing, Ulrich Middelberg, Oliver Vornberger   +2 more
openaire   +2 more sources

Statistical Short-Term Earthquake Prediction

Science, 1987
A statistical procedure, derived from a theoretical model of fracture growth, is used to identify a foreshock sequence while it is in progress. As a predictor, the procedure reduces the average uncertainty in the rate of occurrence for a future strong earthquake by a factor of more than 1000 when compared with the Poisson rate of occurrence.
Y Y, Kagan, L, Knopoff
openaire   +2 more sources

Short-term Power Prediction using ANN

2021 IEEE International Conference on Signal and Image Processing Applications (ICSIPA), 2021
An accurate prediction of solar energy becomes imperative for the planning and optimization of solar-based energy systems. The present research involves the implementation of Artificial Neural Network (ANN) models employing a cascade forward backpropagation algorithm for predicting short-term PV power using meteorological parameters based on distinct ...
Gulnar Perveen, Priyanka Anand, Amod Kumar   +2 more
openaire   +1 more source