The Amplitude Modulation Structure of Japanese Infant- and Child-Directed Speech: Longitudinal Data Reveal Universal Acoustic Physical Structures That Accommodate Both Syllabic and Moraic Timing. [PDF]
Daikoku T, Goswami U.
europepmc +1 more source
Japanese Language Processing : Japanese Style
openaire +1 more source
Postoperative infectious complications (PICs) have been associated with poor long‐term outcomes after colorectal cancer surgery, but evidence in the modern minimally invasive era remains limited. In this multicenter cohort of 5377 patients undergoing curative resection, PICs were independently associated with worse overall survival and relapse‐free ...
Takehito Yamamoto +7 more
wiley +1 more source
Rethinking the Origins of Cross-Language Effects: How Heard Verbs Influence Japanese- and English-Speaking Children's Attention to the Details of Actions. [PDF]
Hagihara H +3 more
europepmc +1 more source
This paper presents a computer vision (deep learning) pipeline integrating YOLOv8 and YOLOv9 for automated detection, segmentation, and analysis of rosette cellulose synthase complexes in freeze‐fracture electron microscopy images. The study explores curated dataset expansion for model improvement and highlights pipeline accuracy, speed ...
Siri Mudunuri +6 more
wiley +1 more source
ModernBERT is more efficient than conventional BERT for chest CT findings classification in Japanese radiology reports. [PDF]
Yamagishi Y +4 more
europepmc +1 more source
AI Powered Biobanks From Static Archives to Dynamic Discovery Engines
Large language models (LLMs) provide a potential framework for transforming biobanks from static data repositories into intelligent discovery engines. By enabling unified representation and analysis of multimodal biomedical data, LLM‐based systems facilitate dynamic risk prediction, biomarker identification, and mechanistic interpretation, thereby ...
Wenzhen Yin +5 more
wiley +1 more source
Evaluating Encoder and Decoder Models for Extended Clinical Concept Recognition in Japanese Clinical Texts: Comparative Study With Weighted Soft Matching. [PDF]
Tsukiji Y +4 more
europepmc +1 more source
Phonons‐informed machine‐learning predictive models are propitious for reproducing thermal effects in computational materials science studies. Machine learning (ML) methods have become powerful tools for predicting material properties with near first‐principles accuracy and vastly reduced computational cost.
Pol Benítez +4 more
wiley +1 more source
Spatial Demonstratives and Perspective Taking in English and Japanese. [PDF]
Gudde HB, Collier J, Coventry KR.
europepmc +1 more source

