Contributions from Christopher Bretherton (University of Washington), Chris Fairall (NOAA ETL), Laura Gallardo Klenner (Universidad de Chile), Steve Esbensen (Oregon State University), Graham Feingold (NOAA ETL), Rene Garreaud (Universidad de Chile), Barry Huebert (University of Hawaii), Dave Leon (University of Wyoming), C. Roberto Mechoso (UCLA), Jim McWilliams (UCLA), Art Miller (Scripps Ins...

In this study, we quantify the impact of C60-passivation layers in Cs0.15FA0.85PbI2.75Br0.25 double-cation perovskite solar cells. We apply a combination impedance spectroscopy, photoluminescence (PL) and X-ray diffraction (XRD) to identify origin for increase power conversion efficiencies operational stability cells fabricated with C60/ZnO electron transport layer (ETL) versus reference ZnO ET...

In this paper, we describe a machine learning system based on rule and tree ensembles for unrestricted coreference resolution. We use Entropy Guided Transformation Learning (ETL) and Decision Trees as the base learners, and, respectively, ETL Committee and Random Forest as ensemble algorithms. Our system is evaluated on the closed track of the CoNLL 2011 shared task: Modeling Unrestricted Coref...

HEIS (Higher Education Information System) is a project funded by the Croatian Ministry of Science, Education and Sports started in the year 2001. HEIS is a comprehensive information system that provides support for education related processes taking place within a higher education institution. As a part of the project, a data warehouse was developed to provide reporting and analytical features...

Penggunaan obat antituberkulosis isoniazid dan rifampisin diketahui dapat menyebabkan drug-induced hepatitis sehingga memerlukan pemberian hepatoprotektor. Penelitian ini bertujuan untuk mengetahui pengaruh ekstrak etanol benalu teh (EBT) dalam mencegah kenaikan kadar S erum Glutamic-Pyruvic Transaminase / SGPT pada tikus yang diinduksi rifampisin, dibandingkan dengan temulawak (ETL). Sebanyak ...

The scale of big data causes the compositions of extract-transform-load (ETL) workflows to grow increasingly complex. With the turnaround time for delivering solutions becoming a greater emphasis, stakeholders cannot continue to afford to wait the hundreds of hours it takes for domain experts to manually compose a workflow solution. This paper describes a novel AI planning approach that facilit...

During the last few years, researchers and developers had proposed various trials to put a standard conceptual design of ETL processes in data warehouse. These trials try to represent the main mapping activities at the conceptual level. Due to limitations of the previous trials, in this paper 1 We propose a model for conceptual design of ETL processes and we call it entity mapping diagram (EMD)...

Extract-Transform-Load (ETL) workflows are data centric workflows responsible for transferring, cleaning, and loading data from their respective sources to the warehouse. In this paper, we build upon existing graph-based modeling techniques that treat ETL workflows as graphs by (a) extending the activity semantics to incorporate negation, aggregation and selfjoins, (b) complementing querying se...