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Injury severity analysis of pedestrian and bicyclist trespassing crashes at non-crossings: A hybrid predictive text analytics and heterogeneity-based statistical modeling approach.
In Accident; analysis and prevention
Wali Behram, Khattak Asad J, Ahmad Numan
Concept/Entity extraction, Dynamic factor analysis, Heterogeneity-based discrete outcome modeling, Injury severity, Machine learning, Non-crossings, Non-motorist trespassing crashes, Text analysis
Automated detection of pneumoconiosis with multilevel deep features learned from chest X-Ray radiographs.
In Computers in biology and medicine
Devnath Liton, Luo Suhuai, Summons Peter, Wang Dadong
Black lung, “Coal workers pneumoconiosis (CWP)”, Computer-aided diagnosis, Deep transfer learning, Support vector machine, X-rays
A practical framework for predicting residential indoor PM2.5 concentration using land-use regression and machine learning methods.
Li Zhiyuan, Tong Xinning, Ho Jason Man Wai, Kwok Timothy C Y, Dong Guanghui, Ho Kin-Fai, Yim Steve Hung Lam
Households, Indoor air, PM(2.5), Prediction model, Random forest
T lymphocytes from malignant hyperthermia-susceptible mice display aberrations in intracellular calcium signaling and mitochondrial function.
In Cell calcium
Yang Lukun, Dedkova Elena N, Allen Paul D, Jafri M Saleet, Fomina Alla F
Dantrolene sodium, Intracellular Ca(2+), Mitochondrial potential, RYR1-p.R163C knock-in mice, Ryanodine receptor, T lymphocytes
"Robotic surgery: the impact of simulation and other innovative platforms on performance and training".
In Journal of minimally invasive gynecology ; h5-index 40.0
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METHODS OF STUDY SELECTION :
Azadi Shirin, Green Isabel, Arnold Anne, Truong Mireille, Potts Jacqueline, Martino Martin A
In BMC bioinformatics
Pappalardo Francesco, Russo Giulia, Reche Pedro A