Results 51 to 60 of about 130 (119)

Feature Extraction of Impulse Faults for Vibration Signals Based on Sparse Non-Negative Tensor Factorization

Applied Sciences, 2019
The incipient damages of mechanical equipment excite weak impulse vibration, which is hidden, almost unobservable, in the collected signal, making fault detection and failure prevention at the inchoate stage rather challenging.
Lin Liang, Haobin Wen, Fei Liu, Guang Li, Maolin Li   +4 more
doaj   +1 more source

Increased irrigation water salinity enhances nitrate transport to deep unsaturated soil

Vadose Zone Journal, 2020
Excessive use of N fertilizers in agriculture often leads to NO3− accumulation in the unsaturated zone and to groundwater pollution. There is uncertainty regarding the variability in fertilizer transport and uptake efficiency due to the lack of studies ...
Gal Weissman, Golan Bel, Alon Ben‐Gal, Uri Yermiyahu, Boian Alexandrov, Kim Ørskov Rasmussen, Ofer Dahan   +6 more
doaj   +1 more source

Debt Aversion: Theory and Measurement

International Economic Review, EarlyView.
ABSTRACT We propose a model of debt aversion and conduct an experiment with real debt and saving contracts to jointly elicit debt aversion and preferences over time, risk, and intertemporal losses. We find that 89% of participants are debt averse, which strongly influences their choices.
David Albrecht, Thomas Meissner
wiley   +1 more source

Impulse Feature Extraction of Bearing Faults Based on Convolutive Nonnegative Matrix Factorization

IEEE Access, 2020
The detection of bearing faults is of great significance for the stable operation of rotating machinery. Apart from detection by analysing the vibration response, another powerful strategy is to extract the periodic impulse excitation directly induced by
Lin Liang, Lei Shan, Fei Liu, Maolin Li, Ben Niu, Guanghua Xu   +5 more
doaj   +1 more source

Worker Heterogeneity and the Effect of Noncompetes on Firm Performance

Journal of Economics &Management Strategy, EarlyView.
ABSTRACT Using staggered state‐level changes in noncompete enforceability, we document that reduced enforcement increases profitability, valuation, productivity, and plant‐level growth in knowledge‐worker‐intensive firms relative to other firms. Critically, these gains are concentrated among the most productive knowledge‐worker firms, consistent with ...
Zhaozhao He, Modupe Babajide Wintoki
wiley   +1 more source

Sparseness-constrained nonnegative tensor factorization for detecting topics at different time scales

Frontiers in Applied Mathematics and Statistics
Temporal text data, such as news articles or Twitter feeds, often comprises a mixture of long-lasting trends and transient topics. Effective topic modeling strategies should detect both types and clearly locate them in time.
Lara Kassab, Alona Kryshchenko, Hanbaek Lyu, Denali Molitor, Deanna Needell, Elizaveta Rebrova, Jiahong Yuan   +6 more
doaj   +1 more source

Cyber(in)security and Interoperability in Digital Services

The Journal of Industrial Economics, EarlyView.
ABSTRACT This paper investigates the interplay between interoperability and the incentives to invest in cybersecurity in digital markets. We develop a two‐sided symmetric duopoly model in which cyberattacks create a congestion‐like externality, and interoperability amplifies hackers' incentives to target connected platforms.
Stefano Comino, Alessandro Fedele, Fabio M. Manenti   +2 more
wiley   +1 more source

Navigating the Functional Landscape of Transcription Factors via Non-Negative Tensor Factorization Analysis of MEDLINE Abstracts

Frontiers in Bioengineering and Biotechnology, 2017
In this study, we developed and evaluated a novel text-mining approach, using non-negative tensor factorization (NTF), to simultaneously extract and functionally annotate transcriptional modules consisting of sets of genes, transcription factors (TFs ...
Sujoy Roy, Sujoy Roy, Daqing Yun, Behrouz Madahian, Michael W. Berry, Lih-Yuan Deng, Daniel Goldowitz, Ramin Homayouni, Ramin Homayouni, Ramin Homayouni   +9 more
doaj   +1 more source

Identification and Estimation of Multi‐order Tensor Factor Models

Journal of Time Series Analysis, EarlyView.
ABSTRACT We propose a novel framework in high‐dimensional factor models to simultaneously analyze multiple tensor time series, each with potentially different tensor orders and dimensionality. The connection between different tensor time series is through their global factors that are correlated with each other.
Zetai Cen
wiley   +1 more source

Detecting the community structure and activity patterns of temporal networks: a non-negative tensor factorization approach.

PLoS ONE, 2014
The increasing availability of temporal network data is calling for more research on extracting and characterizing mesoscopic structures in temporal networks and on relating such structure to specific functions or properties of the system. An outstanding
Laetitia Gauvin, André Panisson, Ciro Cattuto   +2 more
doaj   +1 more source