Results 101 to 110 of about 1,022,045 (334)
Moments of Order Statistics from the Equicorrelated Multivariate Normal Distribution [PDF]
, 1962 D. B. Owen, G.P. Steck
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Supramolecular Chemistry in Metal–Organic Framework Materials
Advanced Materials, EarlyView.This review highlights synergies between reticular chemistry and supramolecular chemistry. The role of supramolecular interactions in determining framework…guest interactions and attempts to understand dynamic behavior in metal–organic frameworks (MOFs), particularly emphasizing the development of crystal sponges, studying reactions in frameworks and ...
Eugenia Miguel‐Casañ +3 more
wiley +1 more source
DISCRIMINANT FUNCTIONS FOR AQUACULTURE WASTEWATER DILUTIONS IN WELL WATER APPLIED BY NON-SELF-COMPENSATING DRIPPERS [PDF]
Engenharia AgrícolaEmitter clogging is the main limitation of drip irrigation systems operating with wastewater. This paper aimed to employ discriminant analysis (DA) to generate classification functions that characterize aquaculture wastewater (AW) dilutions in well water
Laio A. L de Paiva +6 more
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Ensemble Copula Coupling as a Multivariate Discrete Copula Approach [PDF]
, 2013 In probability and statistics, copulas play important roles theoretically as well as to address a wide range of problems in various application areas. In this paper, we introduce the concept of multivariate discrete copulas, discuss their equivalence to ...
Schefzik, Roman
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Retrospective Review on Reticular Materials: Facts and Figures Over the Last 30 Years
Advanced Materials, EarlyView.To shape the future course of research in reticular materials, this work reflects on the progress over the past 30 years, complemented by input from the community of 228 active researchers through a global, crowdsourced survey: ranging from demographics, how it works, publish and interact, to highlights on both academic and industrial milestones, as ...
Aamod V. Desai +8 more
wiley +1 more source
Data analysis techniques [PDF]
A large and diverse number of computational techniques are routinely used to process and analyze remotely sensed data. These techniques include: univariate statistics; multivariate statistics; principal component analysis; pattern recognition and ...
Park, Steve
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An Integrated Approach to Determining the Risk of Overexploitation for Data-Poor Pelagic Atlantic Sharks [PDF]
, 2008 Assesses the risk of over-exploitation of sharks in Atlantic longline fisheries using three metrics based on multivariate statistics as a way to make management recommendations for species with limited data.
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Machine‐Learning‐Aided Advanced Electrochemical Biosensors
Advanced Materials, EarlyView.Electrochemical biosensors are highly sensitive, portable, and versatile. Advanced nanomaterials enhance their performance, while machine learning (ML) improves data analysis, minimizes interference, and optimizes sensor design. Despite progress in both fields, their combined potential in diagnostics remains underexplored.
Andrei Bocan +9 more
wiley +1 more source
Journal for Person-Oriented ResearchThe aim of the paper is threefold: (1) to demonstrate the rich repertoire of clustering capabilities of a ROPstat and R-based new and free software, called ROP-R, by illustrating several analyses with real psychological data; (2) to show how well ROP-R ...
András Vargha, Ferenc Grezsa
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Harnessing Photo‐Energy Conversion in Nanomaterials for Precision Theranostics
Advanced Materials, EarlyView.Harnessing photo‐energy conversion in nanomaterials enables precision theranostics through light‐driven mechanisms such as photoluminescence, photothermal, photoelectric, photoacoustic, photo‐triggered surface‐enhanced Raman scattering (SERS), and photodynamic processes. This review explores six fundamental principles of photo‐energy conversion, recent
Jingyu Shi +4 more
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