Results 91 to 100 of about 23,694,558 (297)
Manal Al-Zaidan,1– 3 Chiragkumar Gohel,4 Regina Padmanabhan,2 John Gibb,4 Rafeeq Badiger,5 Mohamed Ghaith Al-Kuwari,4,6 Laoucine Kerbache2 1Department of Pharmacy and Therapeutics Supply, Primary Health Care Corporation, Doha, Qatar; 2College of Science ...
Al-Zaidan M +6 more
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A Computational Approach for Biomimetic Design of Liver‐On‐A‐Chip
A biomimetic liver‐on‐a‐chip with antiparallel perfusion was designed using COMSOL‐guided simulation to replicate hepatic acinus transport. Full‐scale modelling revealed diffusion‐dominated, length‐dependent nutrient gradients and low‐shear conditions.
Zhenxu Yang +9 more
wiley +1 more source
This work investigates the optimal initial data size for surrogate‐based active learning in functional material optimization. Using factorization machine (FM)‐based quadratic unconstrained binary optimization (QUBO) surrogates and averaged piecewise linear regression, we show that adequate initial data accelerates convergence, enhances efficiency, and ...
Seongmin Kim, In‐Saeng Suh
wiley +1 more source
Data Mining Techniques of XML Data Warehouse [PDF]
In this paper we will try to answer to some questions referring to hypertext. In the same time our purpose is to explain what we mean by a query in the context of XQL, and to present a simple model, which will serve as a framework for the future research.
doaj
The purpose of this study is to analyze sales data from warehouse to distributors, identification of distributor status, and extension periods of active distributors.
Gredion Prajena
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A machine learning‐guided self‐driving laboratory screened over 500 nickel‐based layered double‐hydroxide catalysts for alkaline oxygen evolution. Out of the eight metals, the robot uncovered a quaternary Ni–Fe–Cr–Co catalysts requiring only 231 mV overpotential to reach 20 mA cm−2.
Nis Fisker‐Bødker +3 more
wiley +1 more source
Context-based Data Quality Metrics in Data Warehouse Systems
The fact that Data Quality (DQ) depends on the context, in which data are produced, stored and used, is widely recognized in the research community. Data Warehouse Systems (DWS), whose main goal is to give support to decision making based on data, have ...
Flavia Serra, Adriana Marotta
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An AI‐assisted approach is introduced to decode synthesis–performance relationships in metal‐organic framework‐derived supercapacitor materials using Bayesian optimization and predictive modeling, streamlining the search for optimal energy storage properties.
David Gryc +8 more
wiley +1 more source
We discovered novel materials with giant dielectric constants by combining first‐principles phonon calculations and machine learning. Screening 525 perovskites identified six candidates. RbNbO3 was synthesized under pressure and showed ε ≈ 800–1000. This validates our framework as a powerful tool for high‐performance dielectric materials discovery.
Hiroki Moriwake +9 more
wiley +1 more source

