Explore the latest peer-reviewed research with AI-generated summaries, key findings, and insights for easy understanding. All content is legally sourced from academic metadata with links to original papers.
We provide an introduction to Gaussian process regression (GPR) machine-learning methods in computational materials science and chemistry. A survey of applications to a variety of research questions i...
BACKGROUND: Breast cancer is the most commonly diagnosed cancer and leading cause of cancer death among women worldwide but has patterns and trends which vary in different countries. The incidence and...
Deep learning has been overwhelmingly successful in computer vision (CV), natural language processing, and video/speech recognition. We recognize three development stages in the past decade and emphas...
This research explores Variational quantum algorithms, contributing new insights to the field of Physics & Space Science.
This research explores Autophagy in healthy aging and disease, contributing new insights to the field of Medicine & Biology.
This research explores Attenuated <i>T</i><sub>2</sub> relaxation by mutual cancell..., contributing new insights to the field of Physics & Space Science.
Abstract Hydrogen is often viewed as an important energy carrier in a future decarbonized world. Our analysis assumes that captured carbon dioxide can be stored indefinitely, an optimistic and unprove...
Land cover (LC) determines the energy exchange, water and carbon cycle between Earth's spheres. Gain for Green) in China and revealed the anthropogenic implications on LC under the condition of climat...
This research explores Industry 5.0: A survey on enabling technologies and potentia..., contributing new insights to the field of Artificial Intelligence.
This research explores Exploring tissue architecture using spatial transcriptomics, contributing new insights to the field of Artificial Intelligence.
Abstract Model-based predictive control (MPC) describes a set of advanced control methods, which make use of a process model to predict the future behavior of the controlled system. Additionally, we p...
production and various selective organic transformations, including selective alcohol oxidation, selective methane conversion, amines oxidative coupling, oxidative cross-coupling, cyclic alkanes dehyd...
This research explores Machine Learning in Drug Discovery: A Review, contributing new insights to the field of Artificial Intelligence.
Hydrogels, due to their excellent biochemical and mechnical property, have shown attractive advantages in the field of wound dressings. Chronic wounds are also mentioned, and the focus of attention on...
This research explores COVID-19 and digitalization: The great acceleration, contributing new insights to the field of Artificial Intelligence.
Photoinduced chemical transformations have received in recent years a tremendous amount of attention, providing a plethora of opportunities to synthetic organic chemists. However, in the past decade,...
Importance: Emerging research suggests that the global prevalence of child and adolescent mental illness has increased considerably during COVID-19. These pooled estimates, which increased over time,...
COVID-19 can involve persistence, sequelae, and other medical complications that last weeks to months after initial recovery. The five most common symptoms were fatigue (58%), headache (44%), attentio...
This study compares the two widely used methods of Structural Equation Modeling (SEM): Covariance based Structural Equation Modeling (CB-SEM) and Partial Least Squares based Structural Equation Modeli...
This research explores Progress of the COVID-19 vaccine effort: viruses, vaccines a..., contributing new insights to the field of Medicine & Biology.