Results 41 to 50 of about 27,515,411 (316)

Limits with modeling data and modeling data with limits

Data Science Journal, 2002
Modeling of the solubility of amino acids and purine and pyrimidine bases with a set of sixteen molecular descriptors has been thoroughly analyzed to detect and understand the reasons for anomalies in the description of this property for these two classes of compounds.
openaire   +5 more sources

From concrete mixture to structural design—a holistic optimization procedure in the presence of uncertainties

Data-Centric Engineering
We propose a systematic design approach for the precast concrete industry to promote sustainable construction practices. By employing a holistic optimization procedure, we combine the concrete mixture design and structural simulations in a joint, forward
Atul Agrawal, Erik Tamsen, Jörg F. Unger, Phaedon-Stelios Koutsourelakis   +3 more
doaj   +1 more source

Central Nervous System Tumors Among Infants in Canada: A Report From CYP‐C

Pediatric Blood &Cancer, EarlyView.
ABSTRACT Background Central nervous system (CNS) tumors in infants are rare, pose unique clinical challenges, and lack large‐scale evidence‐based data to guide management. This study seeks to describe CNS tumors in Canadian infants and to compare their outcomes with those of older children.
Samuel Sassine, Hallie Coltin, Sylvia Cheng, Lucie Lafay‐Cousin, Vanan Issai Magimairajan, Craig Erker, Stéphanie Vairy, Lynette Bowes, Adam Fleming, Donna Johnston, Sarah McKillop, Roona Sinha, Julie Bennett, Christina Coleman, Laura Wheaton, Shayna Zelcer, Samuele Renzi, Thai Hoa Tran   +17 more
wiley   +1 more source

Discrete element traction-separation data for meta-modeling game

, 2019
This data set contains the results of discrete element simulations of an interface composed of frictional granular materials used in the meta-modeling game published in CMAME where reinforcement learning is used to autonomously generate traction ...
Sun, W (via Mendeley Data), Sun, WaiChing   +1 more
core   +1 more source

Data for "User-independent Nonlinear Modeling using Adjusted Spline-interpolated Knots (UNMASK) and Indirect Hard Modeling for deriving compositions from spectra with background signals"

, 2023
Experimental data for our publication "User-independent Nonlinear Modeling using Adjusted Spline-interpolated Knots (UNMASK) and Indirect Hard Modeling for deriving compositions from spectra with background signals"- Raman spectra of mixtures ...
Wöhl, Justus, Wöhl, J (via Mendeley Data)   +1 more
core   +1 more source

Enterprise Models as Data [PDF]

, 2009
In many cases enterprise models are considered as a part of enterprise knowledge. This paper examines the status of enterprise model as an artifact that is a part of organizational information system. In this view, the enterprise models are a part of information flow in the organization, and in their static state can be regarded as data rather than ...
Marite Kirikova, Ligita Businska, Anita Finke   +2 more
openaire   +2 more sources

Isatuximab–dexamethasone–pomalidomide combination effects on serum M protein and PFS in myeloma: Development of a joint model using phase I/II data

CPT: Pharmacometrics & Systems Pharmacology
This study aimed at leveraging data from phase I/II clinical trials to build a nonlinear joint model of serum M‐protein kinetics and progression‐free survival (PFS) accounting for the effects of isatuximab (Isa), pomalidomide (Pom), and dexamethasone ...
Antoine Pitoy, Solène Desmée, François Riglet, Hoai‐Thu Thai, Zandra Klippel, Dorothée Semiond, Christine Veyrat‐Follet, Julie Bertrand   +7 more
doaj   +1 more source

Comparative Drug Response Profiling in Neuroblastoma Cell Lines and Patient‐Derived Tumor Organoids

Pediatric Blood &Cancer, EarlyView.
ABSTRACT High‐risk neuroblastoma remains a leading cause of pediatric cancer mortality, and improved preclinical models are needed to guide therapeutic developments. We screened seven high‐risk neuroblastoma cell lines and three patient‐derived tumor organoids with 528 compounds alongside bone marrow controls, and compared them with external datasets ...
Krzysztof Wierbiłowicz, Se Whee Sammy Park, Aironas Los, Ernest Liu, Nona Struyf, Tom Erkers, Sören Lehmann, Jan J. Molenaar, Jakob Stenman, Olli Kallioniemi, Päivi Östling, Brinton Seashore‐Ludlow, Kasper Karlsson   +12 more
wiley   +1 more source

Dataset for QSAR Modeling of DPP-4 Inhibitors

, 2019
The data that used for DPP-4 inhibitors QSAR modeling with machine learning methods were raw data from ChEMBL, initial processing data, and data partitioning for modeling which is divided into 3 parts i.e.
Hermansyah, O (via Mendeley Data), Hermansyah, Oky   +1 more
core   +1 more source

A data model to manage data for water resources systems modeling

Environmental Modelling & Software, 2019
Current practices to identify, organize, analyze, and serve data to water resources systems models are typically model and dataset-specific. Data are stored in different formats, described with different vocabularies, and require manual, model-specific, and time-intensive manipulations to find, organize, compare, and then serve to models.
Adel M. Abdallah, David E. Rosenberg
openaire   +4 more sources