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Insights on earthquake nucleation revealed by numerical simulation and unsupervised machine learning of laboratory-scale earthquake.
Sci Rep
November 2024
Civil and Mineral Engineering, University of Toronto, 35 St. George St, Toronto, ON, M5S 1A4, Canada.
Understanding earthquake nucleation is vital for predicting and mitigating seismic events, saving lives, and enhancing construction practices in earthquake-prone areas. Cascade triggering and preslip triggering are prevalent theories, posing challenges in differentiation based on field observations. Our study employs a novel unsupervised machine learning pipeline, integrating macroscopic- and grain-scale data from stick-slip experiments in a discrete element method (DEM) framework.
View Article and Find Full Text PDFA supervised machine learning model to select a cost-effective directional drilling tool.
Sci Rep
November 2024
Department of Petroleum Engineering, Faculty of Engineering and Technology, Future University in Egypt (FUE), Cairo, 11835, Egypt.
With the increased directional drilling activities in the oil and gas industry, combined with the digital revolution amongst all industry aspects, the need became high to optimize all planning and operational drilling activities. One important step in planning a directional well is to select a directional tool that can deliver the well in a cost-effective manner. Rotary steerable systems (RSS) and positive displacement mud motors (PDM) are the two widely used tools, each with distinct advantages: RSS excels in hole cleaning, sticking avoidance and hole quality in general, while PDM offers versatility and lower operating costs.
View Article and Find Full Text PDFFinding a way in and making it stick: an exploration of chiropractor experiences working in team-oriented elite sport practice settings.
BMJ Open Sport Exerc Med
October 2024
Graduate Education and Research Programs, Canadian Memorial Chiropractic College, Toronto, Ontario, Canada.
Interprofessional healthcare teams have become the benchmark for optimising athlete health and performance in high-stakes sports. Despite a history of utility as provider partners, chiropractors are currently a relatively underutilised human resource in this rapidly developing and challenging field. Consequently, our study explored the global experiences and distinct perspectives of elite-level career sports chiropractors.
View Article and Find Full Text PDFDevelopment of intelligent suite for malaria pathogen detection in microscopy images.
Sci Rep
October 2024
Intel Technology India Pvt. Ltd., Bengaluru, Karnataka, India.
Article Synopsis
- - The study introduces the Intelligent Suite, a software designed to automate the detection of malaria pathogens in blood smear microscope images, aiming to alleviate the shortage of expert microscopists in remote areas.
- - It features a user-friendly graphical interface utilizing the 'cvui' library and integrates with OpenVINO for model optimization, allowing deployment on various inference devices.
- - The Intelligent Suite employs a custom YOLO-mp-3l model, trained on the Darknet framework, to analyze thick smear images and provides functionalities for device selection, model parameter adjustments, and generating performance reports.
Stepwise updating of probabilities is neither universal nor fully explained by motor costs.
Psychon Bull Rev
September 2024
Psychology, University of Waterloo, 200 University Ave., Waterloo, N2L 3G1, ON, Canada.
Often our expectations are set by sampling many times from the same distribution. When that distribution changes, so should our expectations. If we want to decide whether to take our umbrella today we need to have tracked, and updated, our estimate of the probability of rain by reference to recent temperatures and precipitation.
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