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08:30
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Registration
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09:00
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Introduction and welcome
-
Verena Kain
(CERN)
Tia Miceli
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09:20
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Highlights from RL4AA'25
-
Annika Eichler
(DESY)
Andrea Santamaria Garcia
(University of Liverpool)
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09:50
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Introduction to Control Theory
-
Annika Eichler
(DESY)
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10:45
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--- Coffee Break ---
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11:15
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Multi-objective RL
-
Kishan Rajput
(Jefferson Lab)
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08:30
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Optimisation and Control
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Seongyeol Kim
(until 10:30)
(503/1-001 - Council Chamber)
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08:30
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Physics-informed Bayesian inference and optimization of the closed orbit in synchrotrons -15'+5'
-
Victoria Isensee
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08:50
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Optimising Injection Efficiency at Diamond Light Source using Gaussian Processes with Non-Gaussian Likelihoods - 15'+5'
-
Shaun Preston
(John Adams Institute, University of Oxford)
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09:10
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Eliminating mains noise with Machine Learning- 15'+5'
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Verena Kain
(CERN)
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09:30
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Beam halo losses reduction with simulation constrained Bayesian Optimization- 15'+5'
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Andrea De Franco
(National Institutes for Quantum Science and Technology (QST))
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09:50
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Efficient Dynamic and Momentum Aperture Optimization for Lattice Design Using Multipoint Bayesian Algorithmic Execution- 15'+5'
-
Zhe Zhang
Daniel Ratner
(SLAC)
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10:10
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Progress on Automating Experiments at the Argonne Wakefield Accelerator Using Advanced Bayesian Optimization Algorithms - 15'+5'
-
Ryan Roussel
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10:30
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--- Coffee break ---
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11:00
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Optimisation and Control
-
Jason St John
(Fermi National Accelerator Laboratory)
(until 12:00)
(503/1-001 - Council Chamber)
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11:00
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Harnessing the Power of Gradient-Based Simulations for Multi-Objective Optimization in Particle Accelerators- 15'+5'
-
Kishansingh Rajput
(Jefferson Lab)
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11:20
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Virtual to Physical: Reinforcement Learning to Optimize SNS Particle Accelerator Controls- 15'+5'
-
Armen Kasparian
(Jefferson Lab)
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11:40
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Explainable physics-based constraints on reinforcement learning for accelerator controls- 15'+5'
-
Jonathan Colen
(Old Dominion University)
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08:30
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Anomaly Detection and Diagnostics
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Annika Eichler
(DESY)
(until 10:30)
(503/1-001 - Council Chamber)
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08:30
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A path to efficient machine learning-based beam diagnostics: complete six-dimensional generative phase space reconstruction without RF deflecting cavity- 15'+5'
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Seongyeol Kim
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08:50
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Measurement of CSR effects using generative phase space reconstruction- 15'+5'
-
Juan Pablo Gonzalez-Aguilera
(University of Chicago)
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09:10
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Semi-supervised detection of optics errors in beamlines- 15'+5'
-
Jonathan Edelen
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09:30
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Anomaly Forecasting and Adaptive Learning in Fast Kicker Magnet Systems- 15'+5'
-
Malik Marco Algelly
(Universite de Geneve (CH))
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09:50
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Enhancing Quench Detection in SRF Cavities at the European XFEL: Machine Learning Approaches and Practical Challenges- 15'+5'
-
Burak Dursun
(DESY)
Lynda Boukela
(DESY)
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10:10
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Improving Coincident Learning for Beam-based RF Station Fault Identification Using Phase Information at the SLAC Linac Coherent Light Source- 15'+5'
-
Jason Liang
(Stanford University)
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10:30
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--- Coffee Break ---
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11:00
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Surrogate Modelling and Digital Twins
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Francesco Maria Velotti
(CERN)
(until 12:20)
(503/1-001 - Council Chamber)
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11:00
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Graph Learning for Explainable Operation of Particle Accelerators- 15'+5'
-
Chris Tennant
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11:20
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Compensating hysteresis for the CERN SPS main magnets with transformers- 15'+5'
-
Anton Lu
(Technische Universitรคt Wien (AT))
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11:40
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Improving fast beam transport simulations using transfer learning- 15'+5'
-
Paul Stanik III
(University of Nevada--Las Vegas)
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12:00
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Optimizing High-Energy Beam Transport with AI: Advances in IFMIF-DONES Design- 15'+5'
-
Guillermo Rodrรญguez Llorente
(Artificial Intelligence Engineer at HI Iberia, Department of Mathematics at UC3M, Gregorio Millรกn Barbany Institute)
Galo Gallardo Romero
(HI Iberia)
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08:30
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Large Language Model Chatbots for Enhanced Documentation Access
- Dr
Florian Rehm
(CERN)
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09:30
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LLMs and AI Assistants
(until 09:50)
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09:30
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Multi-modal LLMs at EuXFEL: Knowledge Assistants, Data Exploration, and Policy- 15'+5'
-
Florian Sohn
(European XFEL GmbH)
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09:50
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--- Group photo and Coffee break ---
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10:20
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LLMs and AI Assistants
(until 11:00)
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10:20
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The Journey of Developing Specialized Text Embedding Models- 15'+5'
-
Thorsten Hellert
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10:40
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Towards Agentic AI on Particle Accelerators- 15'+5
-
Raimund Kammering
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11:00
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summary, preview, final words
-
Remi Lehe
Jan Kaiser
Thorsten Hellert
Verena Kain
(CERN)
Daniel Ratner
(SLAC)
Hirokazu Maesaka
Ryan Roussel
Georg Hoffstaetter
Auralee Edelen
Kishan Rajput
(Jefferson Lab)
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12:15
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--- Lunch ---
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14:00
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Differentiable simulations
-
Juan Pablo Gonzalez Aguilera
(University of Chicago)
Andrea Santamaria Garcia
(University of Liverpool)
Chenran Xu
Jan Kaiser
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15:00
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--- Coffe break ---
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15:30
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Optimisation and Control
-
Michael Schenk
(CERN)
(until 17:10)
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15:30
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Serval Applications of Machine Learning at HEPS- 15'+5'
-
wei bao
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15:50
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Photon systems automation activities at EuXFEL 15'+5'
-
Sarlota Birnsteinova
(European XFEL GmbH)
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16:10
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ML optimization methods for APS-U commissioning- 15'+5'
-
Nikita Kuklev
(Fermilab)
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16:30
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Data-Driven Feedback Optimization for Particle Accelerator Control- 15'+5'
-
Christian Hespe
(DESY)
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16:50
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Machine Learning for Online Control of Particle Accelerators- 15'+5'
-
Xiaolong Chen
(Institute of modern physics)
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17:10
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Community session
-
Ryan Roussel
Jan Kaiser
(until 18:10)
(80/1-001 - Globe of Science and Innovation - 1st Floor)
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18:45
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--- Cocktails with Jazz and finger food ---
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12:00
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MLOps, Infrastructure and Scalability
-
Andrea Santamaria Garcia
(University of Liverpool)
(until 12:45)
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12:00
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Machine learning and computer vision in robotic interventions at CERN boosting maintainability- 10'+5'
-
Eloise Matheson
(CERN)
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12:15
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Application of boosted decision trees in beam anomaly detection with high throughput data streaming system - 10'+5'
- Mr
Maciej Mleczko
(National Synchrotron Radiation Centre)
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12:30
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An Integrated Research Infrastructure framework for digital twins of laser-plasma acceleration experiments- 10'+5'
- Dr
Remi Lehe
(LBNL)
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12:45
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--- Lunch ---
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14:00
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MLOps, Infrastructure and Scalability
-
Tia Miceli
(until 15:00)
(503/1-001 - Council Chamber)
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14:00
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Lume Deployment - standardising model deployment- 15'+5'
-
Mateusz Leputa
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14:20
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Software Infrastructure Plans for End-to-End and Bottom-Up AI/ML Capabilities at the Electron-Ion Collider (EIC)- 15'+5'
-
Linh Nguyen
(Brookhaven National Laboratory)
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14:40
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Machine Learning for the SNS Accelerator and Target- 15'+5'
-
Willem Blokland
(ORNL)
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15:00
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--- Coffee break ---
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15:30
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Community session
-
Thorsten Hellert
Kishan Rajput
(Jefferson Lab)
(until 16:00)
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16:00
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Poster session
(until 18:00)
(61/1-201 - Pas perdus - Not a meeting room -)
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19:00
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--- Dinner ---
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12:20
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--- Lunch ---
|
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14:00
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Community session
-
Remi Lehe
Georg Hoffstaetter
(until 15:00)
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15:00
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--- Coffee break ---
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15:30
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Surrogate Modelling and Digital Twins
-Mr
Jiao Yi
(IHEP)
(until 16:50)
(503/1-001 - Council Chamber)
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15:30
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End-to-end differentiable digital twin for the IOTA/FAST facility- 15'+5'
-
Nikita Kuklev
(Fermilab)
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15:50
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An Online Virtual Model for the ATLAS Ion Linac at Argonne- 15'+5'
-
Adwaith Ravichandran
(Argonne National Laboratory)
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16:10
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ML-Based Multi-Fidelity Model Calibration Toward Precision Control of Electron Beams- 15'+5'
-
Eric Cropp
|
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16:30
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Developing Radiation-Tolerant Transverse Beam Imaging Using Synthetic Data and Multimode Fiber- 15'+5'
-
Qiyuan Xu
|
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16:50
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Community session
-
Verena Kain
(CERN)
Auralee Edelen
(until 17:50)
(503/1-001 - Council Chamber)
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18:15
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Bus transportation to Geneva city center for the Gala dinner
(39)
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19:30
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--- Dinner at Beau Rivage Hotel ---
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22:30
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Bus transportation to Cern B39
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12:00
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--- Lunch ---
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13:30
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CERN visits
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