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A long term time lapse microscopy technique for Arabidopsis roots [PDF]

Frontiers in Plant Science
Time lapse microscopy is a transformative technique for plant cell and developmental biology. Light sheet microscopy, which manipulates the amount of light a sample is exposed to in order to minimize phototoxicity and maximize signal intensity, is an ...
Laura R. Lee, Ramin Rahni, Kenneth D. Birnbaum   +2 more
doaj   +2 more sources

Short term prediction of photovoltaic power with time embedding temporal convolutional networks [PDF]

Scientific Reports
The incorporation of both spatial and temporal characteristics is vital for improving the predictive accuracy of photovoltaic (PV) power generation forecasting.
Jingxin Wang, Guohan Li, Jin Gu, Zhengyi Xu, Xinrong Chen, Jianming Wei   +5 more
doaj   +2 more sources

Long‐Term Time‐Varying Risk of Readmission After Acute Myocardial Infarction [PDF]

Journal of the American Heart Association: Cardiovascular and Cerebrovascular Disease, 2018
Background Readmission after myocardial infarction (MI) is a publicly reported quality metric with hospital reimbursement linked to readmission rates.
Umesh N. Khot, Michael J. Johnson, Newton B. Wiggins, Ashley M. Lowry, Jeevanantham Rajeswaran, Samir Kapadia, Venu Menon, Stephen G. Ellis, Pamela Goepfarth, Eugene H. Blackstone   +9 more
doaj   +2 more sources

Alternative adjustment for seasonality and long-term time-trend in time-series analysis for long-term environmental exposures and disease counts [PDF]

BMC Medical Research Methodology, 2021
Background Time-series analysis with case-only data is a prominent method for the effect of environmental determinants on disease events in environmental epidemiology.
Honghyok Kim, Jong-Tae Lee, Kelvin C. Fong, Michelle L. Bell   +3 more
doaj   +2 more sources

The long-term time course of septic arthritis [PDF]

Bone & Joint Open
Aims: The aims of this study were to: 1) report on a cohort of skeletally mature patients with native hip and knee septic arthritis over a 14-year period; 2) to determine the rate of joint failure in patients who had experienced an episode of hip or ...
Rhys G. E. Clement, Seng J. Wong, Andrew Hall, Sarah E. M. Howie, A. H. R. W. Simpson   +4 more
doaj   +2 more sources

Time Will Tell: the Short Term Gain and the Long Term Loss: Bariatric Surgery and Colorectal Cancer [PDF]

Iranian Journal of Colorectal Research, 2022
Obesity is a growing worldwide epidemic and its prevalence is in a continuous rise. Bariatric and metabolic surgery is the most effective treatment modality for long-term weight loss and resolution of associated comorbidities.
Melissa Kyriakos Saad, George El Hachem, Claude Chahine, Elias Chahine, Elias Saikaly   +4 more
doaj   +1 more source

Short‐term traffic travel time forecasting using ensemble approach based on long short‐term memory networks

IET Intelligent Transport Systems, 2023
To enhance the control effect of intelligent transportation system (ITS) of expressway, avoid blind travel causing traffic congestion, improve road capacity, and achieve the purpose of smooth and efficient operation of the network, 3σ criterion and 2σ ...
Xingli Jia, Wuxiao Zhou, Hongzhi Yang, Shuangqing Li, Xingpeng Chen   +4 more
doaj   +1 more source

A decomposition‐based multi‐time dimension long short‐term memory model for short‐term electric load forecasting

IET Generation, Transmission & Distribution, 2021
Short‐term load forecasting is essential to power systems management. However, most existing forecasting methods fail to fully consider how to rationally integrate the intrinsic time‐related dimensions of electric load data and the decomposition methods ...
Jiehui Huang, Zhiwang Zhou, Chunquan Li, Zhiyuan Liao, Peter X. Liu   +4 more
doaj   +1 more source

Long-Short Term Echo State Network for Time Series Prediction

IEEE Access, 2020
The Echo State Networks (ESNs) is an efficient recurrent neural network consisting of a randomly generated reservoir (a large number of neurons with sparse random recurrent connections) and a trainable linear layer.
Kaihong Zheng, Bin Qian, Sen Li, Yong Xiao, Wanqing Zhuang, Qianli Ma   +5 more
doaj   +1 more source

Within trial comparison of survival time projections from short‐term follow‐up with long‐term follow‐up findings

ESC Heart Failure, 2022
Aims Data on long‐term treatment effects are scarce, despite the intent to use new therapies for many years and the need of patients, physicians and payers to have a better understanding of the lifetime benefits of treatments.
João Pedro Ferreira, Brian L. Claggett, Kieran F. Docherty, Pardeep S. Jhund, Faiez Zannad, Scott D. Solomon, John J.V. McMurray   +6 more
doaj   +1 more source