Results 241 to 250 of about 679,191 (389)
Abstract This study evaluates various radiotherapy techniques for treating metastatic brain tumor (BT), focusing on non‐coplanar volumetric modulated arc radiotherapy (NC‐VMAT), coplanar VMAT (C‐VMAT), Helical TomoTherapy (HT), CyberKnife (CK), Gamma Knife (GK), and ZAP‐X.
Toshihiro Suzuki+9 more
wiley +1 more source
The role of context in the reading of English vowels: Evidence from ‹s› clusters. [PDF]
Treiman R, Kessler B.
europepmc +1 more source
Closure duration analysis of incomplete stop consonants due to stop-stop interaction [PDF]
Prasanta Ghosh, Shrikanth Narayanan
openalex +1 more source
Abstract Purpose In proton radiotherapy, the stopping power ratio (SPR) of non‐biological materials must be independently measured with proton beams for accurate dose calculation. Small‐size chemo‐ports challenge the measurement. The purpose of this work is to measure the SPR of chemo‐ports by using the energy spectra of the proton pencil beams ...
Rosette Gonzalez+3 more
wiley +1 more source
Phonemic-Phonological Profile of People with 22q11.2 Deletion Syndrome: A Pilot Study. [PDF]
Moraleda-Sepúlveda E+4 more
europepmc +1 more source
Inferior colliculus contributions to phase encoding of stop consonants in an animal model [PDF]
Catherine M. Warrier+3 more
openalex +1 more source
Performance Analysis of Kannada Phonetics: Vowels, Fricatives and Stop Consonants Using LP Spectrum [PDF]
M. Latha, M. Shivakumar, R. Manjula
openalex +1 more source
Abstract This article investigates the performance of a commercial BeO optically stimulated luminescent (OSL) dosimetry system (myOSLchip, RadPro GmbH International, Remscheid, Germany) through the application of the commissioning framework for luminescent dosimeters as described in the American Association of Physicists in Medicine Task Group 191 ...
Joseph P. Kowalski+4 more
wiley +1 more source
Voice Onset Time Variations of Korean Stop Consonants in Aphasic Speakers [PDF]
Seung-Rho Lee+2 more
openalex +1 more source
Abstract Background This study aims to develop a novel predictive model for determining human papillomavirus (HPV) presence in oropharyngeal cancer using computed tomography (CT). Current image‐based HPV prediction methods are hindered by high computational demands or suboptimal performance.
Junhua Chen+3 more
wiley +1 more source