Results 21 to 30 of about 436,061 (314)

Real-Time Characterization of Finite Rupture and Its Implication for Earthquake Early Warning: Application of FinDer to Existing and Planned Stations in Southwest China

Frontiers in Earth Science, 2021
Earthquake early warning (EEW) not only improves resilience against the risk of earthquake disasters, but also provides new insights into seismological processes.
Jiawei Li, Maren Böse, Yu Feng, Yu Feng, Chen Yang   +4 more
doaj   +1 more source

Machine Learning for Long COVID Inference Based on the Acute Phase: A Case Study in Healthcare Professionals

IEEE Access
Since 2021, the COVID-19 pandemic has affected global health, economies, and societal structures, leading to great attention to new research and awareness.
Caio B. S. Maior, Sandrely P. Silva, Isis D. Lins, Ana Lisa Gomes, Marcio C. Moura   +4 more
doaj   +1 more source

An investigation of belief-free DRL and MCTS for inspection and maintenance planning

Journal of Infrastructure Preservation and Resilience
We propose a novel Deep Reinforcement Learning (DRL) architecture for sequential decision processes under uncertainty, as encountered in inspection and maintenance (I &M) planning.
Daniel Koutas, Elizabeth Bismut, Daniel Straub   +2 more
doaj   +1 more source

Linked dimers of the AAA+ ATPase Msp1 reveal energetic demands and mechanistic plasticity for substrate extraction from lipid bilayers

FEBS Letters, EarlyView.
Cells must clear mislocalized or faulty proteins from membranes to survive. The AAA+ ATPase Msp1 performs this task, but dissecting how its six subunits work together is challenging. We engineered linked dimers with varied numbers of functional subunits to reveal how Msp1 subunits cooperate and use energy to extract proteins from the lipid bilayer ...
Deepika Gaur, Brian Acquaviva, Baylee A. Smith, Nathan Walker, Isabella Walter, Matthew L. Wohlever   +5 more
wiley   +1 more source

Risk-informed representative earthquake scenarios for Valparaíso and Viña del Mar, Chile [PDF]

Natural Hazards and Earth System Sciences
Different risk management activities, such as land-use planning, preparedness, and emergency response, utilize scenarios of earthquake events. A systematic selection of such scenarios should aim at finding those that are representative of a certain ...
H. Rosero-Velásquez, M. Monsalve, M. Monsalve, J. C. Gómez Zapata, E. Ferrario, E. Ferrario, E. Ferrario, A. Poulos, J. C. de la Llera, J. C. de la Llera, D. Straub   +10 more
doaj   +1 more source

Risk Analysis Techniques in Construction Engineering Projects [PDF]

Journal of Risk Analysis and Crisis Response (JRACR), 2012
There is a great deal of risk analysis techniques and tools available for the management of risks. In principle, each risk analysis technique has its strengths and weaknesses.
Daniel Baloi
doaj   +1 more source

Risk Analysis in Engineering Projects

, 2021
Modern business processes are characterized by a large number of random factors that can affect the characteristics of internal and external processes. The created models use the method of calculating output parameters as an operation with random characteristics of factors that affect the final results.
openaire   +3 more sources

Organoids in pediatric cancer research

FEBS Letters, EarlyView.
Organoid technology has revolutionized cancer research, yet its application in pediatric oncology remains limited. Recent advances have enabled the development of pediatric tumor organoids, offering new insights into disease biology, treatment response, and interactions with the tumor microenvironment.
Carla Ríos Arceo, Jarno Drost
wiley   +1 more source

The role of fibroblast growth factors in cell and cancer metabolism

FEBS Letters, EarlyView.
Fibroblast growth factor (FGF) signaling regulates crucial signaling cascades that promote cell proliferation, survival, and metabolism. Therefore, FGFs and their receptors are often dysregulated in human diseases, including cancer, to sustain proliferation and rewire metabolism.
Jessica Price, Chiara Francavilla
wiley   +1 more source

The Application of Reinforcement Learning to Pumps—A Systematic Literature Review

Machines
Reinforcement learning, a subset of machine learning in the field of engineering informatics, has revolutionized the decision-making and control of industrial pumping systems. A set of 100 peer-reviewed papers on the application of reinforcement learning
Adetoye Ayokunle Aribisala, Usama Ali Salahuddin Ghori, Cristiano A. V. Cavalcante   +2 more
doaj   +1 more source