Results 111 to 120 of about 4,859,475 (319)

Hardware Acceleration of Sparse Oblique Decision Trees for Edge Computing

open access: yesElektronika ir Elektrotechnika, 2019
This paper presents a hardware accelerator for sparse decision trees intended for FPGA applications. To the best of authors’ knowledge, this is the first accelerator of this type. Beside the hardware accelerator itself, a novel algorithm for induction of
Predrag Teodorovic   +1 more
doaj   +1 more source

The Route to Artery Mimetics: Hybrid Bioinks for Embedded Bioprinting of Multimaterial Cylindrical Models

open access: yesAdvanced Functional Materials, EarlyView.
The fabrication of a cellularized, multilayered 3D printed cylindrical model comprising hybrid bioinks inspired by the natural extracellular environment as an approach to artery mimetics, is presented. Using embedded bioprinting, interlayer crosslinking of self‐supporting concentric cylinders is achieved.
Uxue Aizarna‐Lopetegui   +7 more
wiley   +1 more source

From local explanations to global understanding with explainable AI for trees

open access: yesNature Machine Intelligence, 2020
Scott M. Lundberg   +9 more
semanticscholar   +1 more source

High‐Entropy Magnetism of Murunskite

open access: yesAdvanced Functional Materials, EarlyView.
The study of murunskite (K2FeCu3S4) reveals that its magnetic and orbital order emerges in a simple I4/mmm crystal structure with complete disorder in the transition metal positions. Mixed‐valence Fe ions randomly occupy 1/4 of the tetrahedral sites, with the remaining 3/4 being filled by non‐magnetic Cu+ ions.
Davor Tolj   +18 more
wiley   +1 more source

Matrix Tropism Influences Endometriotic Cell Attachment Patterns

open access: yesAdvanced Functional Materials, EarlyView.
The influence of substrate stiffness and multicellular coculture on endometriotic cell attachment to extracellular matrix‐laden microarrayed islands is reported. This model investigates early endometriotic cell attachment, aiming to capture “lesion initiation events”.
Hannah S. Theriault   +7 more
wiley   +1 more source

Machine Learning‐Enabled Polymer Discovery for Enhanced Pulmonary siRNA Delivery

open access: yesAdvanced Functional Materials, EarlyView.
This study provides an efficient approach to train a machine learning model by merging heterogeneous literature data to predict suitable polymers for siRNA delivery. Without the need for extensive laboratory synthesis, the machine learning enabled a virtual screening and successfully predicted a polymer that is validated for effective gene silencing in
Felix Sieber‐Schäfer   +10 more
wiley   +1 more source

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