Results 201 to 210 of about 5,544,918 (241)

Harnessing the power of empathy, visual art and patient narratives to improve health literacy: An exploratory study. [PDF]

Health Promot J Austr
Beck T, Giese S, Khoo TK.
europepmc   +1 more source

XeraBorg: Neural Control of Tail‐Flick Escape for Backward Propulsion in Cyborg Crayfish

Advanced Robotics Research, EarlyView.
This work presents the first controlled tail‐flick propulsion method for the cyborg Cherax quadricarinatus. Comprehensive experiments establish a foundational framework for using the crayfish's natural escape mechanism as a locomotion strategy, expanding its potential as an underwater and amphibious mobile robot.
H. Nhan Le, Oscar J. Davis, Lachlan Fitzgerald, Robbie Wilson, Christofer Clemente, P. Ross McAree, T. Nho Do, T. Thang Vo‐Doan   +7 more
wiley   +1 more source

Using machine learning to predict judgments on Western visual art along content-representational and formal-perceptual attributes. [PDF]

PLoS One
Spee BTM, Leder H, Mikuni J, Scharnowski F, Pelowski M, Steyrl D.   +5 more
europepmc   +1 more source

Robotics in Ionizing Radiation Environments: Vulnerabilities, Hardening, and Future Directions

Advanced Robotics Research, EarlyView.
Radiation exposure causes cumulative degradation in robotic sensors, actuators, and electronic logic, often leading to undetected failures. This study maps component vulnerabilities, evaluates hardening and shielding strategies, and identifies testing gaps that must be addressed to enable next‐generation radiation‐tolerant robotic systems.
Francis A. K. Djirackor, Josephine T. Djirackor, Amanuel Abrdo Tereda, Sun Yi, Younho Seong   +4 more
wiley   +1 more source

Effect of out-of-school visual art activities on academic performance. The mediating role of socioeconomic status. [PDF]

PLoS One
Deer G, Wu H, Zhang L, Tadesse E, Khalid S, Duan C, Tian W, Gao C.   +7 more
europepmc   +1 more source

Solid Harmonic Wavelet Bispectrum for Image Analysis

Advanced Science, EarlyView.
The Solid Harmonic Wavelet Bispectrum (SHWB), a rotation‐ and translation‐invariant descriptor that captures higher‐order (phase) correlations in signals, is introduced. Combining wavelet scattering, bispectral analysis, and group theory, SHWB achieves interpretable, data‐efficient representations and demonstrates competitive performance across texture,
Alex Brown, Mathilda Avirett‐Mackenzie, Carolin Villforth, Georgios Exarchakis   +3 more
wiley   +1 more source

Effects of Visual Art Therapy on Positive Symptoms, Negative Symptoms, and Emotions in Individuals with Schizophrenia: A Systematic Review and Meta-Analysis. [PDF]

Healthcare (Basel)
Du SC, Li CY, Lo YY, Hu YH, Hsu CW, Cheng CY, Chen TT, Hung PH, Lin PY, Chen CR.   +9 more
europepmc   +1 more source

Perspective: Hollow Core Optical Fibres for Ultraviolet and Visible Wavelengths

Advanced Science, EarlyView.
Hollow core optical fibres bypass material constraints that limit optical fibres at ultraviolet and visible wavelengths. However, their challenging fabrication has limited their development, and significant gains in performance remain possible. In this perspective we outline approaches to enable the next generation of fibres for shorter wavelengths ...
Robbie Mears, Kerrianne Harrington, Jonathan C. Knight, William J. Wadsworth, James M. Stone, Tim A. Birks   +5 more
wiley   +1 more source

Photonic Time Crystals and Time‐Varying Electromagnetic Metamatter: A New Direction for Ultrafast Tunable Photonic and Microwave Materials and Devices

Advanced Science, EarlyView.
Photonic time crystals (PTCs) are systems in which electromagnetic parameters are modulated periodically in time, producing momentum bandgaps via temporal scattering rather than spatial Bragg processes. This review examines the theoretical frameworks, modeling, and computational tools for time‐varying media, and summarizes experimental demonstrations ...
Ranjan Kumar Patel, Shriram Ramanathan, Ronald P. Jenkins, Michael J. Carter   +3 more
wiley   +1 more source

Cross-cultural comparison of beauty judgments in visual art using machine learning analysis of art attribute predictors among Japanese and German speakers. [PDF]

Sci Rep
Mikuni J, Spee BTM, Forlani G, Leder H, Scharnowski F, Nakamura K, Watanabe K, Kawabata H, Pelowski M, Steyrl D.   +9 more
europepmc   +1 more source