Dynamic control over optical wavefronts enables focusing, diffraction and redirection of light on demand, however, sub-wavelength resolution is required to avoid unwanted diffracted beams that are present in commercial spatial light modulators. Here we propose a realistic metadevice that dynamically controls the optical phase of reflected beams with sub-wavelength pixelation in one dimension. Based on reconfigurable metamaterials and nanomembrane technology, it consists of individually moveable metallic nanowire actuators that control the phase of reflected light by modulating the optical path length. We demonstrate that the metadevice can provide on-demand optical wavefront shaping functionalities of diffraction gratings, beam splitters, phase-gradient metasurfaces, cylindrical mirrors and mirror arrays - with variable focal distance and numerical aperture - without unwanted diffraction.
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http://dx.doi.org/10.1364/OE.24.018790 | DOI Listing |
Mater Horiz
January 2025
Key Laboratory of Bio-based Material Science and Technology of Ministry of Education, Northeast Forestry University, Harbin 150040, China.
Dynamic responsive structural colored materials have drawn increased consideration in a wide range of applications, such as colorimetric sensors and high-safety tags. However, the sophisticated interactions among the individual responsive parts restrict the advanced design of multimodal responsive photonic materials. Inspired by stimuli-responsive color change in chameleon skin, a simple and effective photo-crosslinking strategy is proposed to construct hydroxypropyl cellulose (HPC) based hydrogels with multiple responsive structured colors.
View Article and Find Full Text PDFBrain
January 2025
Comprehensive Epilepsy Program, Department of Neurology, University of Virginia, Charlottesville, Virginia 22908, USA.
Seizures in people with dementia (PWD) are associated with faster cognitive decline and worse clinical outcomes. However, the relationship between ongoing seizure activity and postmortem neuropathology in PWD remains unexplored. We compared post-mortem findings in PWD with active, remote, and no seizures using multicentre data from 39 Alzheimer's Disease Centres from 2005 to 2021.
View Article and Find Full Text PDFPsychophysiology
January 2025
Department of Psychology, Ben-Gurion University of the Negev, Beer Sheva, Israel.
Cognitive control deficits and increased intra-subject variability have been well established as core characteristics of attention deficit hyperactivity disorder (ADHD), and there is a growing interest in their expression at the neural level. We aimed to study neural variability in ADHD, as reflected in theta inter-trial phase coherence (ITC) during error processing, a process that involves cognitive control. We examined both traditional event-related potential (ERP) measures of error processing (i.
View Article and Find Full Text PDFIndian J Med Ethics
January 2025
Director Professor, Department of Physiology, University College of Medical Sciences, Delhi University, Delhi, INDIA.
Background: It is challenging to teach the complexity of the doctor-patient relationship through attitude, ethics, and communication (AETCOM) modules, particularly without being formally trained and especially to first-year medical students who do not interact directly with patients. The present study was undertaken to assess the effectiveness of trigger films (TFs) or short movie clips as a teaching-learning tool to train undergraduate medical students on various aspects of doctor-patient relationships.
Methods: Two modules on various aspects of the doctor-patient relationship were developed using TFs and written case studies and implemented on Phase Ⅰ medical students.
Appl Sci (Basel)
June 2024
Department of Biomechanics and Center for Research in Human Movement Variability, University of Nebraska at Omaha, Omaha, NE 68182, USA.
Understanding metabolic cost through biomechanical data, including ground reaction forces (GRFs) and joint moments, is vital for health, sports, and rehabilitation. The long stabilization time (2-5 min) of indirect calorimetry poses challenges in prolonged tests. This study investigated using artificial neural networks (ANNs) to predict metabolic costs from the GRF and joint moment time series.
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