Results 141 to 150 of about 277,827 (338)
Age, gender, functional KSS, reason for revision and type of bone defect predict functional outcome 5 years after revision total knee arthroplasty: a multivariable prediction model [PDF]
Jan Verbeek +4 more
openalex +1 more source
Stabilization of L‐PBF Ni50.7Ti49.3 under low‐cycle loading was investigated. Recoverable strain after cycling was dependent on the amount of applied load. Recovery ratio was 53.4% and 35.1% at intermediate and high load, respectively. The maximum total strain reached 10.3% at a high load of 1200 MPa.
Ondřej Červinek +5 more
wiley +1 more source
Fine-Grained Software Defect Prediction Based on the Method-Call Sequence. [PDF]
Yang F, Huang Y, Xu H, Xiao P, Zheng W.
europepmc +1 more source
Creep experiments at 900°C on coarse‐grained steel‐ceramic composites containing recycled magnesia reveal that higher ceramic volume fractions significantly enhance the creep resistance. Detailed EBSD investigations identify subgrain formation in the steel matrix as the dominant deformation mechanism.
Moritz Müller +6 more
wiley +1 more source
Research of Software Defect Prediction Model Based on Complex Network and Graph Neural Network. [PDF]
Cui M, Cui M, Long S, Jiang Y, Na X.
europepmc +1 more source
On the time-based conclusion stability of cross-project defect prediction models [PDF]
Abdul Ali Bangash +3 more
openalex +1 more source
Consumed by Abdominal Distention
Arthritis Care &Research, EarlyView.
Abimbola Fadairo‐Azinge +3 more
wiley +1 more source
Application of Raman and Photoluminescence Spectroscopy to MgO‐C Refractories
Visible to near infrared luminescence of MgO is studied on MgO‐C bricks and nominally pure MgO powder, with focus on two similar sharp high‐intensity signals, at 699 and 871 nm, each surrounded by symmetrical sidebands. The nature of these sidebands is investigated by temperature‐dependent spectroscopic measurements, confirming phonon involvement by ...
Julia Richter +5 more
wiley +1 more source
Scalable Graphene Defect Prediction Using Transferable Learning. [PDF]
Zheng B, Zheng Z, Gu GX.
europepmc +1 more source

