Machine Learning-Enabled Real-Time Prediction of Drying Shrinkage in Fly Ash-Modified Cementitious Materials. [PDF]
Kupwiwat CT, Prasittisopin L.
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ABSTRACT Geochemical data compiled from dried sediments from three water reservoirs at the ancient Maya city of Ucanal, Petén, Guatemala, reveal low to undetectable fecal biomarker concentrations. These low concentrations may be the result of the aerobic decay of sterols combined with well‐managed waste disposal practices.
Jean D. Tremblay +3 more
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Study on acoustic emission characteristics of muddy limestone under brazilian splitting tests at various loading rates. [PDF]
Yang Z, Liu B, Yang D.
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ABSTRACT Investigating why hominins adopted particular flake technologies during the Mid‐to‐Late Pleistocene is essential to understanding patterns of lithic innovation. This period witnessed the emergence of Levallois technologies (~350–250 ka) and later blades, each “replacing” earlier forms.
Anna Mika, Alastair Key
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Quantifying sorptivity using the contact sponge method: an improved calculation method validated by classical capillary rise experiments and neutron radiography. [PDF]
Derluyn H +8 more
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Investigation into the Adhesion Performance of the Recycled Asphalt Mastic-Limestone Filler Interface Using the Pull-Off Test and Surface Free Energy Theory. [PDF]
Chen X +6 more
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A dataset and benchmark of carbonate thin-section images for deep learning. [PDF]
Li K +11 more
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Spatially decoupled electrochemical strategy for lime passivation prevention and sustainable phosphate recovery. [PDF]
Zhan Z, Lv J, Liu J, Li W, Liu C, Lei Y.
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A feasibility assessment of low-carbon concrete containing calcined clay and granite powder or dolomitic limestone in Burkina Faso. [PDF]
Nshimiyimana P +8 more
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