A new multiscale micromechanical model of vertebral trabecular bones
Sign Up to like & getrecommendations! Published in 2017 at "Biomechanics and Modeling in Mechanobiology"
DOI: 10.1007/s10237-016-0862-6
Abstract: A new three-dimensional (3D) multiscale micromechanical model has been suggested as adept at predicting the overall linear anisotropic mechanical properties of a vertebral trabecular bone (VTB) highly porous microstructure. A nested 3D modeling analysis framework… read more here.
Keywords: analysis framework; multiscale micromechanical; model; vertebral trabecular ... See more keywords
How does green credit affect carbon emissions in China? A theoretical analysis framework and empirical study
Sign Up to like & getrecommendations! Published in 2022 at "Environmental Science and Pollution Research"
DOI: 10.1007/s11356-022-20043-1
Abstract: As an important part of China’s green finance, green credit is regarded as an important tool to promote China’s transformation to a low-carbon economy. In order to clarify the mechanism of green credit on carbon… read more here.
Keywords: theoretical analysis; carbon emissions; credit; green credit ... See more keywords
Decoding the effect of socioeconomic transitions on carbon dioxide emissions: Analysis framework and application in megacity Chongqing from inland China
Sign Up to like & getrecommendations! Published in 2017 at "Journal of Cleaner Production"
DOI: 10.1016/j.jclepro.2016.11.072
Abstract: Abstract Understanding the impact of dramatic socioeconomic transitions on soaring CO2 emissions is essential for developing targeted and effective CO2 mitigation policies. Taking Chongqing as a representative case in inland China, we proposed an analysis… read more here.
Keywords: analysis framework; inland china; framework; co2 emissions ... See more keywords
A unified mediation analysis framework for integrative cancer proteogenomics with clinical outcomes
Sign Up to like & getrecommendations! Published in 2023 at "Bioinformatics"
DOI: 10.1093/bioinformatics/btad023
Abstract: Abstract Motivation Multilevel molecular profiling of tumors and the integrative analysis with clinical outcomes have enabled a deeper characterization of cancer treatment. Mediation analysis has emerged as a promising statistical tool to identify and quantify… read more here.
Keywords: clinical outcomes; mediation analysis; analysis framework; analysis ... See more keywords
Improved analysis framework for axion dark matter searches
Sign Up to like & getrecommendations! Published in 2020 at "Physical Review D"
DOI: 10.1103/physrevd.101.123011
Abstract: In experiments searching for axionic dark matter, the use of the standard threshold-based data analysis discards valuable information. We present a Bayesian analysis framework that builds on an existing processing protocol [B. M. Brubaker, L.… read more here.
Keywords: dark matter; axion; framework; analysis ... See more keywords
Analysis framework for the prompt discovery of compact binary mergers in gravitational-wave data
Sign Up to like & getrecommendations! Published in 2017 at "Physical Review D"
DOI: 10.1103/physrevd.95.042001
Abstract: We describe a stream-based analysis pipeline to detect gravitational waves from the merger of binary neutron stars, binary black holes, and neutron-star–black-hole binaries within ∼1 min of the arrival of the merger signal at Earth.… read more here.
Keywords: analysis framework; pipeline; gravitational wave; framework prompt ... See more keywords
Knowing how satisfied/dissatisfied is far from enough: a comprehensive customer satisfaction analysis framework based on hybrid text mining techniques
Sign Up to like & getrecommendations! Published in 2023 at "International Journal of Contemporary Hospitality Management"
DOI: 10.1108/ijchm-10-2022-1319
Abstract: Purpose This study aims to establish a comprehensive satisfaction analysis framework by mining online restaurant reviews, which can not only accurately reveal consumer satisfaction but also identify factors leading to dissatisfaction and further quantify improvement… read more here.
Keywords: satisfaction analysis; customer; satisfaction; analysis framework ... See more keywords
MARS: Automated Protocol Analysis Framework for Internet of Things
Sign Up to like & getrecommendations! Published in 2022 at "IEEE Internet of Things Journal"
DOI: 10.1109/jiot.2022.3160296
Abstract: Internet of Things (IoT) devices generate a massive quantity of network traffic every moment, which undoubtedly poses an urgent demand for an accurate and efficient network protocol analysis tool in cyberspace management and security. However,… read more here.
Keywords: automated protocol; protocol analysis; analysis; internet things ... See more keywords
A Reliability Analysis Framework for Space Modulation Techniques
Sign Up to like & getrecommendations! Published in 2021 at "IEEE Transactions on Communications"
DOI: 10.1109/tcomm.2021.3069260
Abstract: Space modulation techniques (SMTs) have emerged as a family of multiple-input multiple-output (MIMO) transmitter designs that require a maximum of a single RF-chain. SMTs have been analyzed in the context of cost, power, and error… read more here.
Keywords: modulation techniques; space modulation; reliability analysis; analysis ... See more keywords
A General Quantitative Analysis Framework for Attacks in Blockchain
Sign Up to like & getrecommendations! Published in 2023 at "IEEE/ACM Transactions on Networking"
DOI: 10.1109/tnet.2022.3201493
Abstract: Decentralized cryptocurrency systems have become primary targets for attackers due to substantial profit gain and economic rewards. A number of attack models have been proposed during last few years. However, the evaluation and comparison of… read more here.
Keywords: quantitative analysis; attack models; framework; general quantitative ... See more keywords
An analysis framework for clustering algorithm selection with applications to spectroscopy
Sign Up to like & getrecommendations! Published in 2022 at "PLoS ONE"
DOI: 10.1371/journal.pone.0266369
Abstract: Cluster analysis is a valuable unsupervised machine learning technique that is applied in a multitude of domains to identify similarities or clusters in unlabelled data. However, its performance is dependent of the characteristics of the… read more here.
Keywords: spectroscopy; clustering algorithms; clustering algorithm; analysis ... See more keywords