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Polish FIQ Deemed Reliable, Valid Tool for Assessing Fibromyalgia

A cross-sectional analysis showed the reliability and repeatability of the Polish version of the Fibromyalgia Impact Questionnaire were "very good." ....

American College Of Rheumatology , University Of Rzeszow , National Association Of Patients , Public Health , Institute Of Health Sciences , Fibromyalgia Impact Questionnaire , Health Sciences , Medical Sciences , National Association , American College , Mean Square Error , Comparative Fit Index , Tucker Lewis Index , Depression Inventory ,

PLANET Surges By 75% - More Higher Highs To Come?

Planet coin ranks second on CoinMarketCap and at Number 3 on DEXTools' HotPairs List. It boasts an impressive 75% gain in the past 30 days. ....

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"Slope stability prediction using the Artificial Neural Network (ANN)" by Al Muhalab Al-Dughaishi, Shivakumar Karekal et al.

Slope failure is a significant risk in both civil and mining operations. This failure phenomenon is more likely to occur during the high rainfall season, areas with a high probability of seismic activity and in cold countries due to freezing-thawing. Further, a poor understanding of hydrogeology and geotechnical factors can contribute to erroneous engineering designs. Several Limit Equilibrium Methods (LEMs) and numerical modelling tools have been developed over the years. However, the highlighted success of the Artificial Neural Networks (ANNs) in other disciplines/sectors has motivated researchers to implement ANNs to forecast the Factor Of Safety (FOS). This paper aims to develop ANNs to predict the value of the FOS for slopes formed by (i) uniform one soil/rock material and (ii) formed by two soil/rock materials. Each of these slopes contains three sub-models with 6, 7 and 8 input material parameters. Thousands of FOS values were generated for each sub-model using LEMs by randomly ....

Artificial Neural Networks Anns , Limit Equilibrium Methods , Artificial Neural Networks , Factor Of Safety , Mean Square Error ,

"Slope stability prediction using the Artificial Neural Network (ANN)" by Al Muhalab Al-Dughaishi, Shivakumar Karekal et al.

Slope failure is a significant risk in both civil and mining operations. This failure phenomenon is more likely to occur during the high rainfall season, areas with a high probability of seismic activity and in cold countries due to freezing-thawing. Further, a poor understanding of hydrogeology and geotechnical factors can contribute to erroneous engineering designs. Several Limit Equilibrium Methods (LEMs) and numerical modelling tools have been developed over the years. However, the highlighted success of the Artificial Neural Networks (ANNs) in other disciplines/sectors has motivated researchers to implement ANNs to forecast the Factor Of Safety (FOS). This paper aims to develop ANNs to predict the value of the FOS for slopes formed by (i) uniform one soil/rock material and (ii) formed by two soil/rock materials. Each of these slopes contains three sub-models with 6, 7 and 8 input material parameters. Thousands of FOS values were generated for each sub-model using LEMs by rando ....

Artificial Neural Networks Anns , Limit Equilibrium Methods , Artificial Neural Networks , Factor Of Safety , Mean Square Error ,

Frontiers | Multi-Year ENSO Forecasts Using Parallel Convolutional Neural Networks With Heterogeneous Architecture

Frontiers | Multi-Year ENSO Forecasts Using Parallel Convolutional Neural Networks With Heterogeneous Architecture
frontiersin.org - get the latest breaking news, showbiz & celebrity photos, sport news & rumours, viral videos and top stories from frontiersin.org Daily Mail and Mail on Sunday newspapers.

Comunidad Autonoma De Cataluna , Pacific Ocean , Bohai Sea , National Natural Science Foundation Of China , International Joint Conference On Neural Networks , Research Funds For The Central Universities , International Conference On Medical Image Computing , Southern Oscillation , Oceanic Nino , Oceanic Nino Index , Coupled Model Intercomparison Project , Simple Ocean Data Assimilation , Global Ocean Data Assimilation System , Between Receptive Field , Temporal Anomaly Correlation Coefficient Skill , Root Mean Square Error , Mean Square Error , National Natural Science Foundation , Fundamental Research Funds , Central Universities , Major Scientific , Technological Innovation Project , Integrated Observing , Assimilation Systems , Land Surface , Med Abstract ,