98%
921
2 minutes
20
Declarative questions (DQs) are declarative sentences used as questions. As declaratives, they differ from information-seeking polar questions (ISQs) in their syntax, and as biased questions, they differ from polar questions because they can convey various epistemic stances: a request for confirmation, surprise, or incredulity. Most studies on their intonation typically compare just one subtype to ISQs. In this paper, we present a production study where participants pronounced ISQs, confirmative and surprise DQs, and assertions in Russian. We analyzed the pitch and duration of the target utterances, as these prosodic cues proved to be important in the formal markedness of various biased question types across languages. A principal component analysis (PCA) on the pitch contours shows that DQs bear the same rise-fall contour as ISQs, but its peak falls on the stressed syllable of the last word of the sentence instead of the verb. The intonation of surprise DQs differs from that of confirmative ones in that they also exhibit a slight peak on the subject. Pitch alone is thus enough to distinguish the four utterance types tested. The PCA analysis was also used to identify higher-level trends in the data (principal components), two of which appear to correspond to core semantic properties, namely belief change and commitment. In addition to intonation, speaker commitment also correlates with utterance duration.
Download full-text PDF |
Source |
---|---|
http://dx.doi.org/10.1177/00238309251314862 | DOI Listing |
Retinal organoids (ROs) represent a promising regenerative strategy for restoring vision in retinal degenerative diseases, but whether host cone bipolar cells (BCs) in the primate macula can rewire with transplanted photoreceptors remains unresolved. Here, we transplanted genome-edited human retinal organoids lacking ON-BCs ( ROs) into a non-human primate macular degeneration model. Remarkably, host rod and cone BCs extended dendrites toward grafted photoreceptors, forming functional synapses confirmed by immunohistochemistry, ultrastructural imaging, and focal macular electroretinography.
View Article and Find Full Text PDFDiagn Cytopathol
August 2025
Department of Pathology and Lab Medicine, All Institute of Medical Sciences, Raebareli, Uttar Pradesh, India.
Ganglioneuromas (GNs) are the rare benign tumors belonging to the spectrum of the neuroblastic tumors and can be found anywhere across the distribution of the sympathetic nervous system, including the retroperitoneum. The majority of retroperitoneal GNs are asymptomatic and are diagnosed incidentally. We present a case of a retroperitoneal GN presenting as a palpable lumbar swelling, scoliosis, and inability to walk in a 6-year-old child, diagnosed on fine needle aspiration cytology (FNAC) and confirmed on histopathology.
View Article and Find Full Text PDFCureus
July 2025
Hospital Medicine, Franciscan Health, Munster, USA.
Hospital length of stay (LOS) remains one of the most telling indicators of hospital performance, directly affecting patient safety, cost, bed availability, and overall care quality. Yet, while specialist consultation is a cornerstone of inpatient medicine, its role in influencing LOS is often misunderstood or misused. This review explores a more strategic approach: one that values not just when a consultant is called but how they are engaged.
View Article and Find Full Text PDFCurr Biol
August 2025
Université de Bordeaux, CNRS, INCIA, UMR 5287, F-33000 Bordeaux, France. Electronic address:
A new study disentangles dopamine's role in learned associations and confirms that it drives learning by generating a reward prediction error and not simply by changing the perceived value of the reward.
View Article and Find Full Text PDFPLoS One
August 2025
Department of Computer Science and Engineering, University of Bologna, Bologna, Italy.
By upgrading an existing deep learning model with the knowledge provided by one of the oldest sets of grayscale satellite imagery, known as CORONA, we improved the AI model's attitude towards the automatic identification of archaeological sites in an environment which has been completely transformed in the last five decades, including the complete destruction of many of those same sites. The initial Bing-based convolutional network model was re-trained using CORONA satellite imagery for the district of Abu Ghraib, west of Baghdad, central Mesopotamian floodplain. The results were twofold and surprising.
View Article and Find Full Text PDF