Results 191 to 200 of about 14,683 (259)

DeepSeek in Education: Exploring the Transformative Potential of AI‐Driven Educational Intelligence

open access: yesFuture in Educational Research, Volume 4, Issue 1, Page 30-41, March 2026.
ABSTRACT The integration of artificial intelligence into education remains challenged by issues of scalability, interpretability, and multimodal adaptability. DeepSeek's AI‐driven educational tools show potential to improve educational applications through advances in reasoning efficiency, lightweight deployment, and multimodal fusion.
Jian Liao, Fan Sun, Yajie Liu, Yuli Hu
wiley   +1 more source

Virtual Reality as an Intervention for Intraoperative Anxiety and Stress in Regional Anesthesia: A Randomized Controlled Trial

open access: yesHealth Science Reports, Volume 9, Issue 3, March 2026.
ABSTRACT Background Regional anesthesia, while offering numerous clinical advantages, can paradoxically heighten intraoperative anxiety and stress due to patients remaining conscious throughout surgical procedures. Objectives This study aimed to evaluate the impact of immersive virtual reality (VR) on intraoperative anxiety, stress markers, and patient
Khulud Mansor   +2 more
wiley   +1 more source

The Mainz-Linez Illusion. [PDF]

open access: yesIperception
Thornton IM   +3 more
europepmc   +1 more source

Stereoscopic Brightness Roll‐Off in Augmented Reality

open access: yesJournal of the Society for Information Display, Volume 34, Issue 3, Page 85-98, March 2026.
The increasing demand for power‐efficient immersive augmented reality (AR) displays has led to a growing need for effective power‐saving strategies. Here, the authors investigate for the first time the stereoscopic effectiveness of brightness roll‐off (BRO) for perceptually‐optimized power savings in AR.
Domenic Au   +4 more
wiley   +1 more source

A prescription‐free, radiobiology‐based framework for automated VMAT planning: A feasibility study in primary prostate cancer radiotherapy

open access: yesMedical Physics, Volume 53, Issue 3, March 2026.
Abstract Background Current VMAT planning workflows for prostate cancer primarily depend on conventional dose–volume criteria specified at discrete dose or volume points. These point‐based objectives, however, do not necessarily lead to globally optimal, patient‐specific treatment plans.
Dejan Kuhn   +5 more
wiley   +1 more source

From “Mirror Flower, Water Moon” to Multi‐Task Visual Prospective Representation Learning for Unmanned Aerial Vehicles Indoor Mapless Navigation

open access: yesJournal of Field Robotics, Volume 43, Issue 2, Page 655-680, March 2026.
ABSTRACT Vision‐based deep learning models have been widely adopted in autonomous agents, such as unmanned aerial vehicles (UAVs), particularly in reactive control policies that serve as a key component of navigation systems. These policies enable agents to respond instantaneously to dynamic environments without relying on pre‐existing maps.
Yingxiu Chang   +4 more
wiley   +1 more source

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