Results 91 to 100 of about 90,332 (254)
A Transition-Based Neural Framework for Chinese Nested Entity and Relation Recognition
Entity and relation extraction for Chinese texts are typical performed in a pipelined fashion in the sense that by first segmenting sequence into words then recognizing entities and relations subsequently. However, this process often leads to the problem
Junchi Zhang, Mengchi Liu
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Bayesian Analysis of Measurement Error Models Using Integrated Nested Laplace Approximations
SummaryTo account for measurement error (ME) in explanatory variables, Bayesian approaches provide a flexible framework, as expert knowledge can be incorporated in the prior distributions. Recently, integrated nested Laplace approximations have been proven to be a computationally convenient alternative to sampling approaches for Bayesian inference in ...
Muff, Stefanie +4 more
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Machine Learning for Green Solvents: Assessment, Selection and Substitution
Environmental regulations have intensified demand for green solvents, but discovery is limited by Solvent Selection Guides (SSGs) that quantify solvent sustainability. Training a machine learning model on GlaxoSmithKline SSG, a database of sustainability metrics for 10,189 solvents, GreenSolventDB is developed. Integrated with Hansen solubility metrics,
Rohan Datta +4 more
wiley +1 more source
Intense sub-daily precipitation on the Tibetan Plateau (TP) can trigger a cascade of natural hazards (flash floods, debris flows, etc.), causing significant environmental impacts. Current precipitation products for the TP often lack sufficient spatial or
Dayang Li +8 more
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Perspective: Hollow Core Optical Fibres for Ultraviolet and Visible Wavelengths
Hollow core optical fibres bypass material constraints that limit optical fibres at ultraviolet and visible wavelengths. However, their challenging fabrication has limited their development, and significant gains in performance remain possible. In this perspective we outline approaches to enable the next generation of fibres for shorter wavelengths ...
Robbie Mears +5 more
wiley +1 more source
Multivariate Spatio-Temporal Modeling for Regional GIS Data: A Statistical Framework for Analyzing Multidimensional Spatial Interactions [PDF]
Open geospatial datasets increasingly contain multiple regional indicators that evolve jointly across space and time, but applied workflows often fit separate regressions for each indicator and communicate results through static choropleth maps.
S. Ohta, S. Tanaka, R. Nishii
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Best prediction under a nested error model with log transformation
In regression models involving economic variables such as income, log transformation is typically taken to achieve approximate normality and stabilize the variance. However, often the interest is predicting individual values or means of the variable in the original scale.
Martin, Nirian, Molina, Isabel
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PRC2.1(PCL2)‐coordinated H3K27me3‐enriched PNH establishes a spatial scaffold crucial for nucleolar integrity. As a crucial coordinator, PCL2 links PRC2.1 to chromatin organization and NPM1 assembly. This network‐based model reveals how chromatin modifications and nucleolar components cooperatively maintain nucleolar architecture, revealing novel ...
Lina Zhu +12 more
wiley +1 more source
This paper investigates a nested biaxial micro-electro-mechanical systems (MEMS) accelerometer with low coupling error, derives the kinetic model equations of the accelerometer, and performs finite element simulations of the operating modes and ...
Ren Yanchao +3 more
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Mahmoud Torabi, J. N. K. Rao
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