Results 61 to 70 of about 125,865 (258)

Analysis of operational channel selection of dynamic spectrum sharing wireless communication system based on RF front-end

open access: yesTongxin xuebao, 2011
Because of the existence of primary user signals and the inevitable nonlinearity of some RF devices,the inter-ference signals such as three-order intermodulation signal would be produced in the front-end of RF receiver.To reduce the impact of ...
YOU Chang-jiang   +3 more
doaj   +2 more sources

Prospects of Electric Field Control in Perpendicular Magnetic Tunnel Junctions and Emerging 2D Spintronics for Ultralow Energy Memory and Logic Devices

open access: yesAdvanced Functional Materials, EarlyView.
Electric control of magnetic tunnel junctions offers a path to drastically reduce the energy requirements of the device. Electric field control of magnetization can be realized in a multitude of ways. These mechanisms can be integrated into existing spintronic devices to further reduce the operational energy.
Will Echtenkamp   +7 more
wiley   +1 more source

Reducing semiconductor optical Amplifier’s non-linearity through probabilistic amplitude shaping of optical QAM signal

open access: yesFrontiers in Physics
Optical communication is an efficient technology for high-speed, long-distance data transmission. Semiconductor optical amplifiers (SOAs) are particularly promising for optical signal amplification in O-band transmission due to their compact size, low ...
Shujja Ahmed   +6 more
doaj   +1 more source

Substrate Stress Relaxation Regulates Cell‐Mediated Assembly of Extracellular Matrix

open access: yesAdvanced Functional Materials, EarlyView.
Silicone‐based viscoelastic substrates with tunable stress relaxation reveal how matrix mechanics regulates cellular mechanosensing and cell‐mediated matrix remodelling in the stiff regime. High stress relaxation promotes assembly of fibronectin fibril‐like structures, increased nuclear localization of YAP and formation of β1 integrin‐enriched ...
Jonah L. Voigt   +2 more
wiley   +1 more source

Understanding Decoherence of the Boron Vacancy Center in Hexagonal Boron Nitride

open access: yesAdvanced Functional Materials, EarlyView.
State‐of‐the‐art computations unravel the intricate decoherence dynamics of the boron vacancy center in hexagonal boron nitride across magnetic fields from 0 to 3 T. Five distinct regimes emerge, dominated by nuclear spin interactions, revealing optimal coherence times of 1–20 µs in the 180–350 mT range for isotopically pure samples.
András Tárkányi, Viktor Ivády
wiley   +1 more source

MOFs and COFs in Electronics: Bridging the Gap between Intrinsic Properties and Measured Performance

open access: yesAdvanced Functional Materials, EarlyView.
Metal‐organic frameworks (MOFs) and covalent organic frameworks (COFs) hold promise for advanced electronics. However, discrepancies in reported electrical conductivities highlight the importance of measurement methodologies. This review explores intrinsic charge transport mechanisms and extrinsic factors influencing performance, and critically ...
Jonas F. Pöhls, R. Thomas Weitz
wiley   +1 more source

A novel 5.1–7.1 GHz front-end power amplifier for wireless applications with −35 dB Error Vector Magnitude

open access: yese-Prime: Advances in Electrical Engineering, Electronics and Energy
A Power Amplifier (PA) is proposed for WiFi-6E applications, specifically designed to support WLAN 802.11ax standard to achieve significant linear power. The proposed PA is designed to operate in the entire 5 GHz and 6 GHz frequency bands.
Pawankumar B., Prashantha Kumar H.
doaj   +1 more source

Vector Analysis of the Effects of FS-LASIK and Toric ICL for Moderate to High Astigmatism Correction

open access: yesJournal of Ophthalmology, 2018
Purpose. To estimate the treatment effectiveness of femtosecond-assisted laser in situ keratomileusis (FS-LASIK) and Toric implantable collamer lens (Toric ICL) for moderate and high astigmatism via vector analysis. Materials and Methods.
Kaijian Chen   +6 more
doaj   +1 more source

Unleashing the Power of Machine Learning in Nanomedicine Formulation Development

open access: yesAdvanced Functional Materials, EarlyView.
A random forest machine learning model is able to make predictions on nanoparticle attributes of different nanomedicines (i.e. lipid nanoparticles, liposomes, or PLGA nanoparticles) based on microfluidic formulation parameters. Machine learning models are based on a database of nanoparticle formulations, and models are able to generate unique solutions
Thomas L. Moore   +7 more
wiley   +1 more source

Performance analysis of atomic magnetometer and bandwidth-extended loop antenna in resonant phase-modulated magnetic field communication system

open access: yesETRI Journal
Telecommunications through an electrically conductive medium require the use of carrier bands with very-low and ultralow frequencies to establish radiofrequency links in harsh environments.
Hyun Joon Lee   +3 more
doaj   +1 more source

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