Results 201 to 210 of about 2,396,578 (330)

We Still Have to Fear Malaria: A Case Report of Severe Malaria With Almost all the Listed WHO Complications in a Patient Living in a Sub-Saharan Endemic Area. [PDF]

open access: yesCase Rep Infect Dis
Simeni Njonnou SR   +5 more
europepmc   +1 more source

Multipolar Resonances in Electro‐Optic Metasurfaces with Moderate Refractive Index

open access: yesAdvanced Photonics Research, EarlyView.
Electro‐optic nanoantennas with moderate refractive indices of 2.3 to 3.0 are numerically shown to sustain strong multipolar resonances, enabling efficient light confinement and EO tuning. Multipolar modes of even parity are most sensitive to variations in the refractive index.
Viktoriia E. Babicheva   +1 more
wiley   +1 more source

Every Fall Matters: Challenging Ageism and Negative Self-Perception of Aging. [PDF]

open access: yesJ Psychosoc Nurs Ment Health Serv
Thiamwong L, Shattell M.
europepmc   +1 more source

Sharp Diamond Needles for Single‐Photon Emission

open access: yesAdvanced Photonics Research, EarlyView.
We study the morphological evolution of single‐crystal diamond needles oxidized at 650–700 °C. Electron microscopy and photoluminescence reveal temperature‐ and time‐dependent sharpening, length reduction, and surface modifications affecting tip properties.
Mariam Quarshie   +9 more
wiley   +1 more source

Reducing Personalization Time and Energy Cost While Walking Outdoors with a Portable Exosuit

open access: yesAdvanced Robotics Research, EarlyView.
Rapid Real‐World Optimization! An AF‐based human‐in‐the‐loop optimization strategy rapidly personalizes a portable hip extension exosuit for incline walking. Real‐time Bayesian optimization of assistive force significantly reduces metabolic energy—up to 16.2%—while converging in just 3 min 24 s.
Kimoon Nam   +7 more
wiley   +1 more source

Grounding Large Language Models for Robot Task Planning Using Closed‐Loop State Feedback

open access: yesAdvanced Robotics Research, EarlyView.
BrainBody‐Large Language Model (LLM) introduces a hierarchical, feedback‐driven planning framework where two LLMs coordinate high‐level reasoning and low‐level control for robotic tasks. By grounding decisions in real‐time state feedback, it reduces hallucinations and improves task reliability.
Vineet Bhat   +4 more
wiley   +1 more source

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