Objective To develop and validate a novel risk prediction model for incident major adverse liver outcomes (MALO) in a primary care setting. Design Population based cohort study. Setting Sweden, with ...
Thriving in an exponential world requires more than a better strategy. It demands quantum thinking, the shift from linear ...
In January I wrote a piece titled “ 5 Physics Equations Everyone Should Know .” Lots of you weighed in with your own ...
Identification of nuclear pore proteins at plasmodesmata: potential role in intercellular transport?
Plasmodesmata are channels that allow cell-cell communication in plants; based on the functional similarities between facilitated transport within plasmodesmata and into the nucleus, the authors ...
Random Coefficient Modelling of the Global Effect of Exchange and Monetary Policy Rates on Inflation
This research evaluates the effect of monetary policy rate and exchange rate on inflation across continents using both Frequentist and Bayesian Generalized Additive Mixed Models (GAMMs). Extending an ...
Trained on quantum data, a new model makes computations more accurate while keeping computer costs low ...
Abstract: The robustness of convolutional neural networks (CNNs) is vital to modern AI-driven systems. It can be quanti-fied by formal verification by providing a certified lower bound, within which ...
Curvature-Based Piecewise Linear Approximation Method of GELU Activation Function in Neural Networks
Abstract: Artificial neural networks (ANNs) rely significantly on activation functions for optimal performance. Traditional activation functions such as ReLU and Sigmoid are commonly used. However, ...
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