Results 121 to 130 of about 9,585 (266)

Decision Threshold Setting in Binary Classification Problems—A Behavioral Lens

open access: yesJournal of Operations Management, EarlyView.
ABSTRACT When binary classification models are wrong, managers face misclassification costs. Although false positive outcomes imply unnecessary mitigation efforts, false negative outcomes imply overlooking the class of interest. Humans calibrate these ai models supporting operational systems by adjusting the decision threshold that translates ...
Patrick Moder, Kai Hoberg, Felix Papier
wiley   +1 more source

Cardioprotective effect of spirulina on cafeteria diet‐induced cardiac injury in silico and in vivo study

open access: yesJournal of the Science of Food and Agriculture, EarlyView.
Abstract BACKGROUND Obesity is a major risk factor for cardiovascular disease, primarily due to its effects on lipid metabolism, oxidative stress, and inflammation. The aim of this study was to evaluate the effects of spirulina (SP) on cafeteria diet (CD)‐induced myocardial oxidative stress and inflammation using biochemical, histological, and in ...
Fatma Arrari   +3 more
wiley   +1 more source

Photo‐Excitations in Halide Perovskites: Where Do Simulations and Experiments Meet?

open access: yesLaser &Photonics Reviews, EarlyView.
Aiming to bridge the gap between simulations and measurements of light–matter couplings and photo‐excitations in new functional materials, this perspective highlights insights and bottlenecks of state‐of‐the‐art experimental and theoretical methods (2D electronic spectroscopy vs.
Muhammad Sufyan Ramzan   +5 more
wiley   +1 more source

Development and Validation of a Consensus Machine Learning–Derived Signature to Predict Survival and Treatment Benefits in Breast Cancer

open access: yesMedicine Advances, EarlyView.
The consensus machine learning–derived prognostic signature (CMDPS) was developed by integrating 10 independent breast cancer cohorts and 76 algorithm combinations, which identified 19 robust survival‐associated genes. The CMDPS demonstrated superior prognostic performance compared to clinical features and 62 published transcriptome signatures ...
Guangyang Cheng   +7 more
wiley   +1 more source

Extending the hyper‐logistic model to the random setting: New theoretical results with real‐world applications

open access: yesMathematical Methods in the Applied Sciences, EarlyView.
We develop a full randomization of the classical hyper‐logistic growth model by obtaining closed‐form expressions for relevant quantities of interest, such as the first probability density function of its solution, the time until a given fixed population is reached, and the population at the inflection point.
Juan Carlos Cortés   +2 more
wiley   +1 more source

Ellipsoid‐Based Interval‐Type Uncertainty Model Updating Based on Riemannian Manifold and Gaussian Process Model

open access: yesInternational Journal of Mechanical System Dynamics, EarlyView.
ABSTRACT Modern engineering systems require advanced uncertainty‐aware model updating methods that address parameter correlations beyond conventional interval analysis. This paper proposes a novel framework integrating Riemannian manifold theory with Gaussian Process Regression (GPR) for systems governed by Symmetric Positive‐Definite (SPD) matrix ...
Yanhe Tao   +3 more
wiley   +1 more source

Experimental Modal Analysis‐Driven Gaussian Process Regression Modeling of Rectangular Steel Beams With Various Hole Geometries

open access: yesInternational Journal of Mechanical System Dynamics, EarlyView.
ABSTRACT Understanding the dynamic behavior of structural components is crucial for optimizing performance and ensuring structural integrity. This study presents a new method that combines a systematic experimental investigation of four distinct hole geometries (circular, square, compact rectangular, and long rectangular) with varying hole counts, all ...
Amir Hossein Rabiee   +3 more
wiley   +1 more source

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