Results 101 to 110 of about 56,045 (311)

Adaptive Machine Learning for Electronic Nose‐Based Forensic VOC Classification

open access: yesAdvanced Science, EarlyView.
A 32‐element electronic nose enhanced with machine learning demonstrates exceptional accuracy in differentiating between living and deceased individuals (98.1%), discriminating human and animal specimens (97.2%), and estimating postmortem intervals.
Ivan Shtepliuk   +3 more
wiley   +1 more source

Circulating Tumor Cells Shed Shearosome Extracellular Vesicles in Capillary Bifurcations That Activate Endothelial and Immune Cells

open access: yesAdvanced Science, EarlyView.
Using microfluidic models of capillary networks, this study discovered that fluid shear stresses on circulating tumor cells transiting through capillary‐sized bifurcations shed a novel class of shear‐dependent large extracellular vesicle, “shearosomes”, whose proteome comprises of over 3000 distinct proteins.
Angelos Vrynas   +16 more
wiley   +1 more source

What matters for agricultural trade? Assessing the role of trade deal provisions using machine learning

open access: yesApplied Economic Perspectives and Policy, EarlyView.
Abstract This paper employs machine learning to determine which preferential trade agreement (PTA) provisions are relevant to agricultural trade patterns and the factors that may influence their adoption. Utilizing the three‐way gravity model, we apply plug‐in Lasso regularized regression to pinpoint predictive PTA provisions for agricultural trade ...
Stepan Gordeev   +3 more
wiley   +1 more source

Digitalization and the “Too Big to Fail” dilemma: mechanisms and asymmetric effects of banks’ Fintech innovation on total factor productivity

open access: yesTechnological and Economic Development of Economy
Fintech is driving the revolution of finance and profoundly affecting the development of the financial sector. However, few studies examined how commercial banks’ fintech innovation affects total factor productivity (TFP).
Chengming Li, Yuan Zhang, Hongwei Yu
doaj   +1 more source

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