Results 311 to 320 of about 2,742,191 (376)
Large Language Model‐Based Chatbots in Higher Education
The use of large language models (LLMs) in higher education can facilitate personalized learning experiences, advance asynchronized learning, and support instructors, students, and researchers across diverse fields. The development of regulations and guidelines that address ethical and legal issues is essential to ensure safe and responsible adaptation
Defne Yigci+4 more
wiley +1 more source
Direct breast-feeding in the neonatal intensive care unit: is it important?
R. Pineda
semanticscholar +1 more source
Autofluorescence imaging with virtual histological staining streamlines postoperative histopathology. Using a deep ultraviolet light‐emitting diode (LED)‐based imaging system and a weakly supervised deep learning model, virtual hematoxylin and eosin (H&E)‐stained images are generated from the autofluorescence of prostate tissue. Pathologist evaluations
Mingxuan Si+9 more
wiley +1 more source
Prospective associations between breast feeding, metabolic health, inflammation and bone density in women with prior gestational diabetes mellitus. [PDF]
Hebeisen I+9 more
europepmc +1 more source
Dynamic pressure sensing, static pressure sensing, and haptic vibration are implemented on multifunctional piezoelectret devices with the universal structural design, further combined with the customized pressure device to comprehensively simulate and expand the Traditional Chinese Medicine (TCM) three‐finger palpation.
Liuyang Han+9 more
wiley +1 more source
This study introduces the Parallel Multimodal Language Model (PMLM), a multimodal diagnostic framework that integrates medical images and textual data to enhance early breast cancer detection. By addressing the limitations of text‐only large language models, PMLM significantly improves diagnostic performance.
Dashun Zheng+8 more
wiley +1 more source
Ternary content addressable memory based on InGaZnO transistors is fabricated and its performance is evaluated through simulations for various distance‐based computing applications. Due to its high areal density, enhanced switching characteristics, and uniformity compared to other data similarity‐computing hardware candidates, the proposed memory is
Hyeong Jun Seo+5 more
wiley +1 more source