PROBABILITY OF RISK FACTORS AFFECTING SMALL-SCALE LNG SUPPLY CHAIN ACTIVITIES IN THE INDONESIAN ARCHIPELAGO


Environmental and Sensor Integration Influences on Temperature Measurements by Rotary-Wing Unmanned Aircraft Systems

Obtaining thermodynamic measurements using rotary-wing unmanned aircraft systems (rwUAS) requires several considerations for mitigating biases from the aircraft and its environment.In this study, we focus on how the method of temperature sensor integration can impact the quality of its measurements.To minimize non-environmental heat sources and pre

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Machine learning in petrophysics: Advantages and limitations

Machine learning provides a powerful alternative data-driven approach to accomplish many petrophysical tasks from subsurface data.It can assimilate information from large and rich data bases and infer relations, rules, and knowledge hidden in the data.When the physics Originals 70s Bootcut behind data becomes extremely complex, inexplicit, or even

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Haptic Adaptive Feedback to Promote Motor Learning With a Robotic Ankle Exoskeleton Integrated With a Video Game

Background: Robotic devices have been used to rehabilitate walking function after stroke.Although results suggest that post-stroke patients benefit from this non-conventional therapy, there is no agreement on the optimal robot-assisted approaches to promote neurorecovery.Here we present a new robotic therapy protocol using a grounded exoskeleton pe

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