Results 121 to 130 of about 79,293 (290)

Morphological and Molecular Characterization of Eimeria saudiensis From Arabian Oryx (Oryx leucoryx) Held in Captivity in the Sultanate of Oman 阿曼苏丹国圈养阿拉伯羚羊 (Oryx leucoryx) 体内沙特艾美球虫 (Eimeria saudiensis) 的形态学与分子特征

open access: yesWildlife Letters, EarlyView.
Eimeria saudiensis represents a genus of apicomplexan parasites capable of inducing coccidiosis in Arabian oryx. Our research concentrated on the morphological and molecular investigation of Eimeria spp. in the captive oryx herd in Oman. The therapeutic and management practices employed at the Mammals Breeding Center were reassessed to diminish ...
Khalid Al‐Habsi   +7 more
wiley   +1 more source

Measuring MAN (incorporating JRAI): Computational anthropological analysis and quantitative speculation

open access: yesJournal of the Royal Anthropological Institute, EarlyView.
Abstract In this paper, we present a foray into the computational study of anthropological texts. Drawing on a corpus of approximately 2,500 articles published in the Journal of the Royal Anthropological Institute (formerly Man) from 1950 to 2018, we discuss selected findings from the deployment of two methods for computational text analysis, namely ...
Kristoffer Albris   +4 more
wiley   +1 more source

The Development of Indo‐Iranian Voiced Fricatives

open access: yesTransactions of the Philological Society, Volume 123, Issue 1, Page 97-115, March 2025.
Abstract The development of voiced sibilants is a long‐standing puzzle in Indo‐Iranian historical phonology. In Vedic, all voiced sibilants are lost from the system, but the details of this loss are complex and subject to debate. The most intriguing development concerns the word‐final ‐aḥ to ‐o in sandhi.
Gašper Beguš
wiley   +1 more source

Where Can Artificial Intelligence Assist Cancer Care?: Examining Patient‐Centered Communication Dimension Effects

open access: yesHealth Services Research, EarlyView.
ABSTRACT Objective To explore how aspects of patient‐centered communication (PCC) may directly or indirectly predict patients' preferences for artificial intelligences (AIs) versus human medical professionals, based on the stimulus‐organism‐response model.
Qiwei Luna Wu   +2 more
wiley   +1 more source

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