Results 31 to 40 of about 2,014,035 (263)

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

Patient Activation in Childhood, Adolescent, and Young Adult Cancer Survivors: Current Insights and Implications for Survivorship Care—A Systematic Review From the e‐QuoL Project

Pediatric Blood &Cancer, EarlyView.
ABSTRACT Purpose Patient activation—encompassing knowledge, confidence, and skills in managing individual's health—is a cornerstone of person‐centered care. However, its significance among childhood, adolescent, and young adult cancer survivors (CAYACS) remains unexplored. This article examines the application of the 13‐item Patient Activation Measure (
Charlotte Demoor‐Goldschmidt, Anne Maas, Gisela Michel, Amandine Bertrand, Kristen E. T. Thornton, Martine Bellanger, Anna‐Liesa Filbert, Desiree Grabow, Monica Muraca, Katharina Roser, Sara Oberti, Jelena Roganovic, Hanne Cathrine Lie   +12 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 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

Using Peak and Cumulative Spinal Loading to Assess Jobs, Job Rotation and Engineering Controls [PDF]

, 2003
Peak and cumulative forces on spinal structures have been identified as significant and statistically independent risk factors for reporting low back pain (LBP).
Frazer, Mardy B
core   +2 more sources

Exploring Preferences for a Digital Single‐Session Intervention for Adolescent Siblings of Youth With Cancer

Pediatric Blood &Cancer, EarlyView.
ABSTRACT Introduction Adolescent siblings of children with cancer are at elevated risk for psychosocial problems. Unfortunately, various barriers such as limited family time and resources, conflicting schedules, and psychosocial staffing constraints at cancer centers hinder sibling access to support.
Christina M. Amaro, Sarah Silver, Prishi Patel, Meredith K. Reffner Collins, Kimberly S. Canter, Stephanie Fooks‐Parker, Michael Amylon, Shawna V. Hudson, Jessica L. Schleider, Melissa A. Alderfer, Katie A. Devine   +10 more
wiley   +1 more source

Implementing Health‐Related Quality of Life Assessment in Pediatric Oncology: A Feasibility Study

Pediatric Blood &Cancer, EarlyView.
ABSTRACT Background There is growing interest in embedding health‐related quality of life (HRQoL) assessment and patient‐reported outcome measures (PROMs) within clinical cancer care. This study evaluated the feasibility, acceptability, and usability of implementing an electronic PROM (ePROM) platform to measure HRQoL in children with cancer ...
Mikaela Doig, Sophie Jessop, Jordan R. Hansford, Hien Le, Matthew O'Connor, Peter Gorayski, Andrew Cunningham, Amanda Hutchinson, Victoria Bedford, Eva Bezak, Nayana Parange, Kelly Skelton, Timothy Price, Michala Short   +13 more
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

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

Evolution of Rockfall Based on Structure from Motion Reconstruction of Street View Imagery and Unmanned Aerial Vehicle Data: Case Study from Koto Panjang, Indonesia

Remote Sensing
This study explores the growing application of 3D remote sensing in geohazard studies, particularly for rock slope monitoring. It highlights the use of cost-effective Street View Imagery (SVI) and Unmanned Aerial Vehicles (UAV) through Structure-from ...
Tiggi Choanji, Michel Jaboyedoff, Yuniarti Yuskar, Anindita Samsu, Li Fei, Marc-Henri Derron   +5 more
doaj   +1 more source