Results 181 to 190 of about 1,475 (259)
ABSTRACT Multivariate ground motion models (GMMs) that capture the correlation between different intensity measures (IMs) are essential for seismic risk assessment. Conventional GMMs are often developed using a two‐stage approach, where separate univariate models with predefined functional forms are fitted first, and correlation is addressed in a ...
Sayed Mohammad Sajad Hussaini +2 more
wiley +1 more source
Aspiring to Aspirate: L2 Acquisition of English Word-Initial /p/ Over 10 Years. [PDF]
Munro MJ, Derwing TM, Saito K.
europepmc +1 more source
Spontaneous regression of equine sarcoids is an exceptional event
Abstract Sarcoids are benign, yet locally aggressive skin tumours that commonly affect horses and other equid species. The lesions are induced by bovine papillomavirus types 1, 2, and probably 13 in conjunction with other factors including trauma and a genetic predisposition.
Sabine Brandt
wiley +1 more source
Are you talking to me? How the choice of speech register impacts listeners' hierarchical encoding of speech. [PDF]
Piazza G +6 more
europepmc +1 more source
ABSTRACT This research was conducted within the framework of project SI2.825082, funded by the European Commission—DG GROW. The project's objective was to finalise a European approach for assessing the fire performance of façades under medium and large fire exposure conditions.
Péter Tóth +7 more
wiley +1 more source
Identification of Mandarin Tones in Loud Speech for Native Speakers and Second Language Learners. [PDF]
Zhang H +4 more
europepmc +1 more source
A “gemstone‐necklace” FASCE strategy synthesizes single‐component white polymers (PTF‐Qx) by alternating rigid TADF units with flexible alkyl chains. The non‐doped rigid device achieves a high EQE of 15.66% with stable white emission (CIE: 0.36, 0.46).
Wenhao Zhang +7 more
wiley +1 more source
Exploring the relationship between teachers' beliefs and practices of oral corrective feedback in synchronous computer-mediated communication. [PDF]
Uludağ O.
europepmc +1 more source
Using DSGE and Machine Learning to Forecast Public Debt for France
ABSTRACT Forecasting public debt is essential for effective policymaking and economic stability, yet traditional approaches face challenges due to data scarcity. While machine learning (ML) has demonstrated success in financial forecasting, its application to macroeconomic forecasting remains underexplored, hindered by short historical time series and ...
Emmanouil Sofianos +4 more
wiley +1 more source
ABSTRACT Background Head and neck squamous cell carcinoma (HNSCC) often presents with cervical lymph node metastasis, with 1%–4% of cases presenting as cancer of unknown primary (CUP). CUP poses diagnostic and therapeutic challenges and is linked to poorer survival outcomes.
Robin W. Jansen +7 more
wiley +1 more source

