We investigate theoretically and experimentally the structure of plasmonic modes in individual asymmetric dimer antennas. Plasmonic near-field coupling of high-order modes results in hybridization of bright and dark modes of the individual nanorods, leading to an anticrossing of the coupled resonances. For two bright modes, hybridization results in a capacitive red shift and super-radiant broadening. We show that the properties of asymmetric dimers can be used for nonlinear control of spectral modes and demonstrate such a nonlinear effect by measuring the modulation of a hybrid asymmetric dimer--ITO antenna. With use of full electrodynamical calculations, we find that the properties of the near-field nonlinear responses are distinctly different from the far-field, which opens up new routes for nonlinear control of plasmonic nanosystems.
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http://dx.doi.org/10.1021/nn3021579 | DOI Listing |
Nutr Metab Cardiovasc Dis
December 2024
Department of Epidemiology and Biostatistics, College of Public Health, Zhengzhou University, Zhengzhou, Henan, People's Republic of China. Electronic address:
Aims: The association of telomere length (TL) and coronary heart disease (CHD) is still debated, and there is a lack of dose-response meta-analyses on this issue. The aim is therefore to integrate existing evidence on the association between TL and CHD risk and explore the dose-response relationship between them.
Data Synthesis: PubMed, EMBASE, and Web of Science were searched for relevant studies up to September 2024.
J Nutr
January 2025
Clermont Auvergne University, EA 3533, Laboratory of the Metabolic Adaptations to Exercise under Physiological and Pathological Conditions (AME2P), CRNH Auvergne, Clermont-Ferrand, France; International Research Chair Health in Motion, Clermont Auvergne University Foundation, Clermont-Ferrand, France.
Physical activity has been shown to improve various aspects of metabolic health and is frequently applied as an intervention in the management and prevention of overweight/obesity. Chrono-exercise can be studied in relation to time of day and timing in relation to a meal, which encompasses chronology and duration of the temporal interval, but the latter has received limited attention to date. This brief review and meta-analysis investigates whether the timing of a meal subsequent to acute exercise, in children and adolescents with and without overweight/obesity, moderates eating behaviour and appetite.
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December 2024
Institute of Research in Psychology (IPSY) & Institute of Neuroscience (IoNS), Louvain Bionics Center, University of Louvain (UCLouvain), Louvain-la-Neuve, Belgium; School of Health Sciences, HES-SO Valais-Wallis, The Sense Innovation and Research Center, Lausanne & Sion, Switzerland. Electronic address:
Effective social communication depends on the integration of emotional expressions coming from the face and the voice. Although there are consistent reports on how seeing and hearing emotion expressions can be automatically integrated, direct signatures of multisensory integration in the human brain remain elusive. Here we implemented a multi-input electroencephalographic (EEG) frequency tagging paradigm to investigate neural populations integrating facial and vocal fearful expressions.
View Article and Find Full Text PDFSensors (Basel)
December 2024
Xi'an Institute of Optics and Precision Mechanics of CAS, Xi'an 710119, China.
During the interaction process of a manipulator executing a grasping task, to ensure no damage to the object, accurate force and position control of the manipulator's end-effector must be concurrently implemented. To address the computationally intensive nature of current hybrid force/position control methods, a variable-parameter impedance control method for manipulators, utilizing a gradient descent method and Radial Basis Function Neural Network (RBFNN), is proposed. This method employs a position-based impedance control structure that integrates iterative learning control principles with a gradient descent method to dynamically adjust impedance parameters.
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December 2024
School of Biomedical Engineering, Shanghai Jiao Tong University, Shanghai 200240, China.
This study aimed to predict and fit the nonlinear dynamic grip force of the human upper limb using surface electromyographic (sEMG) signals. The research employed a time-series-based neural network, NARX, to establish a mapping relationship between the electromyographic signals of the forearm muscle groups and dynamic grip force. Three-channel electromyographic signal acquisition equipment and a grip force sensor were used to record muscle signals and grip force data of the subjects under specific dynamic force conditions.
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