Polling data reveal a decades-long residual rejection of evolution in the United States, based on perceived religious conflict.Similarly, a strong creationist movement has been documented internationally, including in the Muslim world.Members of the Church of Jesus Christ of Latter-day Saints (LDS, Mormon), a generally conservative denomination, ha
Adaptive Multivariable Control for Multiple Resource Allocation of Service-Based Systems in Cloud Computing
Service-based systems resource allocation in cloud computing is a key method of meeting service requests because service request workloads and resource demands change over time.When coping with dynamic fluctuating service requests and resource demands, adaptive resource allocation to ensure the quality of service (QoS) with the lowest resource cons
Machine Learning for Inverter-Fed Motors Monitoring and Fault Detection: An Overview
Monitoring and fault detection can be critical for efficient, safe and reliable operation of electric plates drive systems.Unfortunately, developing accurate physics-based models for these tasks is difficult due to unknown machine parameters and incomplete knowledge of the physical phenomena occurring within the system.Machine Learning (ML) methods
Segmentation of the cervical lesion region in colposcopic images based on deep learning
BackgroundColposcopy is an important method in the diagnosis of cervical lesions.However, experienced colposcopists are lacking at present, and the training MOISTURE CURE 2-PHASE cycle is long.Therefore, the artificial intelligence-based colposcopy-assisted examination has great prospects.In this paper, a cervical lesion segmentation model (CLS-Mod
Uncertainty quantification for neural network potential foundation models
Abstract For neural network potentials (NNPs) to gain widespread use, researchers must be able to trust model outputs.However, the blackbox nature of neural networks and their inherent stochasticity are often deterrents, especially for foundation models trained over broad swaths of chemical space.Uncertainty information provided at the time of pred