The reflected microwave power from the photo-excited high mobility GaAs/AlGaAs 2D device has been measured over the wide frequency band spanning from 30 to 330 GHz simultaneously along with diagonal magnetoresistance as a function of the magnetic field. Easily distinguishable resonances in the reflected power signal are observed at the same magnetic fields as a reduced amplitude in the Shubnikov-de Haas (SdH) oscillations of the diagonal magnetoresistance. The reflection resonances with concurrent amplitude reduction in SdH oscillations are correlated with cyclotron resonance induced by microwave, mm-wave, and terahertz photoexcitation. The magnetoplasma effect was also investigated. The results suggest a finite frequency zero-magnetic-field intercept, providing an estimate for the plasma frequency. The experimentally measured plasma frequency appears to be somewhat lower than the estimated plasma frequency for these Hall bars. The results, in sum, are consistent with an effective mass ratio of m*/m = 0.067, the standard value, even in these high mobility GaAs/AlGaAs devices, at very large filling factors. Preliminary findings from this article have been published as conference proceedings, see Kriisa, A., et al., J. of Phys. Conf. Ser. 864, 012057 (2017).
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http://dx.doi.org/10.1038/s41598-019-39186-2 | DOI Listing |
Nanotechnology
January 2025
Universiti Teknologi PETRONAS, Centre of Innovative Nanostructures and Nanodevices (COINN), Universiti Teknologi PETRONAS, 32610 Seri Iskandar, Perak Darul Ridzuan, MALAYSIA, Seri Iskandar, Perak, 32610, MALAYSIA.
Most previously reported susceptors for microwave welding are in powder form. In this study, a thin-film susceptor was employed due to its uniform heating rate and ease of handling. Silicon carbide nanowhisker (SiCNW) were incorporated into a poly(methyl methacrylate) (PMMA) matrix to create a nanocomposite thin film, which served as the susceptor.
View Article and Find Full Text PDFClin Orthop Relat Res
December 2024
Naval Medical Center San Diego, San Diego, CA, USA.
Background: Femoroacetabular impingement (FAI) is a well-recognized cause of hip pain in adults. The hip-spine relationship between the femur, pelvis, and lumbosacral spine has garnered recent attention in hip arthroplasty. However, the hip-spine relationship has not been well described in patients with FAI.
View Article and Find Full Text PDFJ Am Geriatr Soc
January 2025
Department of Veterans Affairs, Veterans Health Administration, Office of Geriatrics and Extended Care, Washington, DC, USA.
Background: The Age-Friendly Health System (AFHS) initiative seeks to improve care for older adults through assessing and acting on the 4Ms (What Matters, Medication, Mentation, Mobility). The Department of Veterans Affairs (VA) joined the initiative in 2020, and from 2022 to 2023, VA led its first Age-Friendly Action Community, a 7-month online educational series to teach clinicians about implementing the 4Ms across VA care settings.
Methods: The VA Action Community was designed to spread awareness about Age-Friendly care for older Veterans, improve interprofessional team knowledge for providing care guided by the 4Ms, and support AFHS implementation across multiple care settings.
PLoS One
January 2025
Clinic for Orthopaedics, Heidelberg University Hospital, Heidelberg, Germany.
Duchenne gait, characterized by an ipsilateral trunk lean towards the affected stance limb, compensates for weak hip abductor muscles, notably the gluteus medius (GM). This study aims to investigate how electromyographic (EMG) cluster analysis of GM contributes to a better understanding of Duchenne gait in patients with cerebral palsy (CP). We analyzed retrospective gait data from 845 patients with CP and 65 typically developed individuals.
View Article and Find Full Text PDFPLoS Comput Biol
January 2025
Complex Systems Research Center, Shanxi University, Taiyuan, Shanxi, China.
Human mobility between different regions is a major factor in large-scale outbreaks of infectious diseases. Deep learning models incorporating infectious disease transmission dynamics for predicting the spread of multi-regional outbreaks due to human mobility have become a hot research topic. In this study, we incorporate the Graph Transformer Neural Network and graph learning mechanisms into a metapopulation SIR model to build a hybrid framework, Metapopulation Graph Transformer Neural Network (M-Graphormer), for high-dimensional parameter estimation and multi-regional epidemic prediction.
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