Results 131 to 140 of about 17,478,568 (370)

Data‐driven forecasting of ship motions in waves using machine learning and dynamic mode decomposition

open access: yesInternational Journal of Adaptive Control and Signal Processing, EarlyView.
Summary Data‐driven forecasting of ship motions in waves is investigated through feedforward and recurrent neural networks as well as dynamic mode decomposition. The goal is to predict future ship motion variables based on past data collected on the field, using equation‐free approaches.
Matteo Diez   +2 more
wiley   +1 more source

Coacervates Composed of Low‐Molecular‐Weight Compounds– Molecular Design, Stimuli Responsiveness, Confined Reaction

open access: yesAdvanced Biology, EarlyView.
Coacervation driven by liquid‐liquid phase separation (LLPS) of biopolymers has garnered increasing attention in biology since this leads to the formation of membraneless organelles capable of performing essential yet largely unknown functions. This review highlights recent advances in coacervates (artificial condensates) composed of low‐molecular ...
Sayuri L. Higashi, Masato Ikeda
wiley   +1 more source

STEPS Towards Cache-Resident Transaction Processing [PDF]

open access: green, 2004
Stavros Harizopoulos, Anastasia Ailamaki
openalex   +1 more source

Regulating Protein Immobilization During Cell‐Free Protein Synthesis in Hyaluronan Microgels

open access: yesAdvanced Biology, EarlyView.
Bifunctional microgels carrying a linear DNA template and Ni2+‐activated NTA moieties are used as platform for cell‐free protein synthesis and in situ protein immobilization. By varying the concentration of NTA moieties in the microgels, the amount of GFP‐His immobilized inside the microgel and released to the microgel environment can be regulated ...
Anika Kaufmann   +2 more
wiley   +1 more source

A Novel Digitalization Approach for Smart Materials – Ontology‐Based Access to Data and Models

open access: yesAdvanced Engineering Materials, EarlyView.
In order to access heterogeneous material data and model‐based knowledge, the established ontology‐based data access (OBDA) is extended to include material models. This novel ontology‐based data and model access (OBDMA) enables the computation of new responses beyond stored data.
Jürgen Maas   +15 more
wiley   +1 more source

FAIR and Structured Data: A Domain Ontology Aligned with Standard‐Compliant Tensile Testing

open access: yesAdvanced Engineering Materials, EarlyView.
The digitalization in materials science and engineering is discussed, emphasizing the importance of digital workflows and ontologies in managing diverse experimental data. Challenges such as quality assurance and data interoperability are tackled with semantic web technologies, focusing and introducing the tensile test ontology (TTO).
Markus Schilling   +6 more
wiley   +1 more source

Numerical Studies of Influencing Factors on the Homogeneity of the Powder Mixture during the Powder Spreading Process of Powder Bed Fusion–Laser Beam/Metal

open access: yesAdvanced Engineering Materials, EarlyView.
AISI 304L stainless steel powder is mixed with silicon nitride (Si3N4) powder and processed by PBF‐LB/M, allowing partial retention of Si3N4. The numerical approach effectively predicts the Si3N4 powder homogeneity and N content distribution on the powder bed. Recent studies have focused on the alloying of nitrogen (N) in high‐alloy stainless steels by
Yuanbin Deng   +7 more
wiley   +1 more source

Transaction Fee Estimation in the Bitcoin System [PDF]

open access: yesarXiv
In the Bitcoin system, transaction fees serve as an incentive for blockchain confirmations. In general, a transaction with a higher fee is likely to be included in the next block mined, whereas a transaction with a smaller fee or no fee may be delayed or never processed at all.
arxiv  

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