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Published in 2019 at "Journal of High Energy Physics"
DOI: 10.1007/jhep01(2019)095
Abstract: A bstractWe explore the possibility that high energy astrophysical neutrinos can interact with the dark matter on their way to Earth. Keeping in mind that new physics might leave its signature at such energies, we…
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Keywords:
dark matter;
physics;
model building;
matter ... See more keywords
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Published in 2017 at "Journal of High Energy Physics"
DOI: 10.1007/jhep08(2017)004
Abstract: A bstractBuilding on recent advances in the understanding of gauge-Yukawa theories we explore possibilities to UV-complete the Standard Model in an asymptotically safe manner. Minimal extensions are based on a large flavor sector of additional…
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Keywords:
building asymptotic;
safety;
directions model;
asymptotic safety ... See more keywords
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Published in 2019 at "Environmental Earth Sciences"
DOI: 10.1007/s12665-019-8214-3
Abstract: The main topic of this research was to evaluate the effect in the performance of stochastic landslide susceptibility models, produced by differences between the triggering events of the calibration and validation datasets. In the Caldera…
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Keywords:
area salvador;
validation;
building validation;
area ... See more keywords
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Published in 2019 at "Journal of Neurolinguistics"
DOI: 10.1016/j.jneuroling.2018.11.003
Abstract: Abstract We examined the unique role of textbase memory and situation model building ability in first (L1) and second (L2) language reading comprehension. Participants were 76 monolingual and 102 bilingual children in 4th grade. A…
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Keywords:
reading comprehension;
situation model;
model building;
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Published in 2018 at "Journal of structural biology"
DOI: 10.1016/j.jsb.2018.07.016
Abstract: A recently-developed method for identifying a compact, contiguous region representing the unique part of a density map was applied to 218 Cryo-EM maps with resolutions of 4.5 Å or better. The key elements of the segmentation…
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Keywords:
segmentation;
cryo model;
model;
model challenge ... See more keywords
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Published in 2024 at "Nature"
DOI: 10.1038/s41586-024-07215-4
Abstract: Interpreting electron cryo-microscopy (cryo-EM) maps with atomic models requires high levels of expertise and labour-intensive manual intervention in three-dimensional computer graphics programs1,2. Here we present ModelAngelo, a machine-learning approach for automated atomic model building in…
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Keywords:
cryo;
protein;
identification;
cryo maps ... See more keywords
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Published in 2024 at "Architectural Engineering and Design Management"
DOI: 10.1080/17452007.2024.2389305
Abstract: ABSTRACT Building digital twin (BDT) realizes real-time monitoring, prediction, and optimization control of the building system through the synchronization between the real world and the virtual platform, and improves the efficiency of building operation and…
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Keywords:
digital twin;
evolutionary method;
building physics;
model ... See more keywords
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Published in 2021 at "Health Systems"
DOI: 10.1080/20476965.2020.1740613
Abstract: ABSTRACT This paper presents a framework for understanding and improving the process of simulation model building involving a group of domain experts, classifying the different roles the model may play at various stages of its…
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Keywords:
simulation model;
framework;
group;
model ... See more keywords
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Published in 2019 at "Physical Review D"
DOI: 10.1103/physrevd.100.055032
Abstract: We present a method to find anomaly-free gauged Froggatt-Nielsen type models using results from algebraic geometry. These methods should be of general interest for model building beyond the Standard Model (SM) when rational charges are…
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Keywords:
algebraic geometry;
neutral heavy;
model building;
geometry ... See more keywords
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Published in 2025 at "IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing"
DOI: 10.1109/jstars.2024.3501736
Abstract: Data-driven full-waveform inversion shows great potential for subsurface velocity estimation, but its accuracy is often hindered by susceptibility to local minima and the inherent characteristics of seismic data. Seismic shot gathers typically exhibit weak spatial…
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Keywords:
learning rate;
velocity model;
cyclic learning;
velocity ... See more keywords
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Published in 2022 at "IEEE Geoscience and Remote Sensing Letters"
DOI: 10.1109/lgrs.2021.3098196
Abstract: Building a reliable velocity model plays a vital role in seismic imaging and quantitative reservoir description. However, the current data-driven deep-learning-based velocity model building (VMB) approaches directly reconstruct the velocity model of the subsurface from…
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Keywords:
model building;
velocity;
migration;
model ... See more keywords