### 96 results for qubit oscillator frequency

Contributors: Ying-Jie Chen, Hai-Tao Song, Jing-Lin Xiao

Date: 2017-10-14

Temperature effects on polaron in triangular quantum dot **qubit** subjected to an electromagnetic field are studied.
We derive the numerical results and formulate the derivative relationships of the ground and first
excited state energies, the electron probability density and the electron **oscillating** period in the superposition state of
the ground state and the first-excited state with the temperature, the cyclotron **frequency**, the electron-phonon coupling
constant, the electric field strength, the confinement strength and the Coulomb impurity potential, respectively....6-The electron **oscillating** period as functions of the temperature and the cyclotron **frequency** in triangular quantum dot **qubit** under an electric field.docx...7-The electron **oscillating** period as functions of the temperature and the electron-phonon coupling constant and etc. in triangular quantum dot **qubit** under an electric field.docx...2-The first excited state energy as functions of the temperature and the cyclotron **frequency** in triangular quantum dot **qubit** under an electric field.docx...3-The ground state energy as functions of the temperature and the electron-phonon coupling constant and etc. in triangular quantum dot **qubit** under an electric field.docx...1-The ground state energy as functions of the temperature and the cyclotron **frequency** in triangular quantum dot **qubit** under an electric field.docx ... Temperature effects on polaron in triangular quantum dot **qubit** subjected to an electromagnetic field are studied.
We derive the numerical results and formulate the derivative relationships of the ground and first
excited state energies, the electron probability density and the electron **oscillating** period in the superposition state of
the ground state and the first-excited state with the temperature, the cyclotron **frequency**, the electron-phonon coupling
constant, the electric field strength, the confinement strength and the Coulomb impurity potential, respectively.

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Top results from Data Repository sources. Show only results like these.

Contributors: Noah Phipps

Date: 2019-03-07

Data from a 1st Year Forced **Oscillations** lab experiment....Forced **Oscillations**, All Data.xlsx...**Oscillation** ... Data from a 1st Year Forced **Oscillations** lab experiment.

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Contributors: Samad Sheikhaei, bahram jafari

Date: 2018-08-29

Data for: A Low Phase Noise Super–Harmonic Coupling Quadrature VCO Using an Additional Double **Frequency** **Oscillator**...These files are the schematic files of the quadrature **oscillator**, proposed in the paper. The files are related to the Cadence integrated circuit design environment. ... These files are the schematic files of the quadrature **oscillator**, proposed in the paper. The files are related to the Cadence integrated circuit design environment.

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### Data for: A Method for Selection of Structural Theories for Low to High **Frequency** Vibration Analyses

Contributors: Mostafa Sadeghmanesh, Hassan Haddadpour, Hossein M. Navazi, Mohammad Tahaye Abadi

Date: 2019-01-23

High **Frequency** **Oscillations**...A Method for Selection of Structural Theories for Low to High **Frequency** Vibration Analyses
HIGHER-ORDER WAVE PARAMETERS OF FLEXURAL BEAM VIBRATION FROM LOW TO HIGH **FREQUENCIES**...Data for: A Method for Selection of Structural Theories for Low to High **Frequency** Vibration Analyses...High **Frequency** Oscillations ... A Method for Selection of Structural Theories for Low to High **Frequency** Vibration Analyses
HIGHER-ORDER WAVE PARAMETERS OF FLEXURAL BEAM VIBRATION FROM LOW TO HIGH **FREQUENCIES**

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Contributors: H M Dipu Kabir, Shairfe Salahuddin

Date: 2017-10-19

High **Frequency** **Oscillations**...High **Frequency** Electronics...Data for: A **Frequency** Multiplier Using Three Ambipolar Graphene Transistors...**Frequency** Spectrum Analysis...**Frequency** Domain Spectroscopy...High **Frequency** Oscillations ... All plot-data of the paper with a Matlab script to draw figures.

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Contributors: Yoni Levy

Date: 2019-05-26

Gene **Oscillations**...The data contains 88 matrices from 44 participants, with 2 matrices for each participant.
Each matrix represents either the pain ('p') or the no-pain ('n') conditions.
In each matrix you will find 4 dimensions: trials * MEG-sensors * spectral-**frequency** (80:10:150) * time ... The data contains 88 matrices from 44 participants, with 2 matrices for each participant.
Each matrix represents either the pain ('p') or the no-pain ('n') conditions.
In each matrix you will find 4 dimensions: trials * MEG-sensors * spectral-**frequency** (80:10:150) * time

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Contributors: Jonas Carlstedt, Daniel Persson, Vitaly Kocherbitov

Date: 2017-05-26

Rheological data on 0.75 wt% suspension of Nanofibrillated cellulose (NFC) in water are presented. Two types of **oscillation** experiments were performed: stress amplitude sweep experiments at constant **frequency** and **frequency** sweep experiments at constant amplitude of stress. Values of elastic mudulus G' and viscous modulus G'' are presented. Data from four **frequency** sweep experiments and seven amplitude sweep experiments are presented....Nanofibrillated cellulose (NFC) was prepared from TEMPO-oxidized bleached pulp by mechanical delamination. Sonication and ultracentrifugation was subsequently used in order to remove large aggregates.
The measurements were performed using Bohlin CVO rheometer (Malvern Instruments Limited, UK). A cone-plate geometry (4 °/40 mm) was used with a gap width of 150 μm. The experiments were performed at 20 °C. The sample and geometry were covered with a plastic lid in order to prevent sample evaporation. In the amplitude sweep experiments the shear stress amplitude was increased from 5-40 Pa at a fixed **frequency**. The **frequency** sweep experiments, were performed at constant shear stress aplitude with the **frequency** sweeping from 0.1-40 Hz....Rheological data on 0.75 wt% suspension of Nanofibrillated cellulose (NFC) in water are presented. Two types of oscillation experiments were performed: stress amplitude sweep experiments at constant **frequency** and **frequency** sweep experiments at constant amplitude of stress. Values of elastic mudulus G' and viscous modulus G'' are presented. Data from four **frequency** sweep experiments and seven amplitude sweep experiments are presented. ... Rheological data on 0.75 wt% suspension of Nanofibrillated cellulose (NFC) in water are presented. Two types of **oscillation** experiments were performed: stress amplitude sweep experiments at constant **frequency** and **frequency** sweep experiments at constant amplitude of stress. Values of elastic mudulus G' and viscous modulus G'' are presented. Data from four **frequency** sweep experiments and seven amplitude sweep experiments are presented.

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Contributors: Igor Kudinov

Date: 2019-06-19

A video file, with a representation of the formation and propagation processes over the time of quantum fractals generated in the examined wave guide, was created based on the calculations in the study (http://dx.doi.org/10.17632/mcfmdzjm6d.2). Since the wave guide is a resonator, after two fronts of high **frequency** oscillations meet in its center, only waves satisfying the resonance conditions exist, i.e. a whole number of halfwaves must fit between the walls of the wave guide. Wavelengths differing from resonance ones are suppressed. Therefore, fractal structures emerge due to resonance oscillations in the wave guide inter-wall space....A video file, with a representation of the formation and propagation processes over the time of quantum fractals generated in the examined wave guide, was created based on the calculations in the study (http://dx.doi.org/10.17632/mcfmdzjm6d.2). Since the wave guide is a resonator, after two fronts of high **frequency** **oscillations** meet in its center, only waves satisfying the resonance conditions exist, i.e. a whole number of halfwaves must fit between the walls of the wave guide. Wavelengths differing from resonance ones are suppressed. Therefore, fractal structures emerge due to resonance **oscillations** in the wave guide inter-wall space. ... A video file, with a representation of the formation and propagation processes over the time of quantum fractals generated in the examined wave guide, was created based on the calculations in the study (http://dx.doi.org/10.17632/mcfmdzjm6d.2). Since the wave guide is a resonator, after two fronts of high **frequency** **oscillations** meet in its center, only waves satisfying the resonance conditions exist, i.e. a whole number of halfwaves must fit between the walls of the wave guide. Wavelengths differing from resonance ones are suppressed. Therefore, fractal structures emerge due to resonance **oscillations** in the wave guide inter-wall space.

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Contributors: Yipeng WU

Date: 2018-09-22

Data for: A piezoelectric spring pendulum **oscillator** used for multi-directional and ultra-low **frequency** vibration energy harvesting ... Please see the file name or the txt file called "readme".

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Contributors: Eefje Poppelaars, Johannes Klackl, Belinda Pletzer, Eva Jonas

Date: 2019-11-08

Open data and R analysis scripts for the paper as submitted for publication: "Poppelaars, E. S., Klackl, J., Pletzer, B., & Jonas, E. (2019). Delta-beta cross-**frequency** coupling as an index of stress regulation during social-evaluative threat."
Hypotheses and analyses were preregistered: Poppelaars, E. S., Klackl, J., Pletzer, B., & Jonas, E. (2018). Delta-beta cross-**frequency** coupling as an index of stress regulation during social-evaluative threat. Open Science Framework. https://osf.io/8gchf/register/565fb3678c5e4a66b5582f67.
Description of the dataset:
A dataset of 37 men and 30 women (tested in the luteal phase of their menstrual cycle) participated in a public speaking task to induce social-evaluative threat. Responses of multiple stress systems were measured (sympathetic and parasympathetic nervous system activity, self-reported affect, and hypothalamic–pituitary–adrenal axis activity), as well as personality traits (e.g. trait social anxiety), and EEG delta-beta cross-**frequency** coupling (e.g., frontal and parietal amplitude-amplitude correlation and phase-amplitude coupling).
Description of analyses files:
- File 'README.txt' contains the description of the files (metadata).
- File 'SET_CFC_MatlabOutput.xlsx' contains the delta-beta coupling data, calculated using MATLAB scripts from https://github.com/ESPoppelaars/Cross-**frequency**-coupling.
- File 'SETData.sav' contains the raw stress and personality data, taken from https://doi.org/10.17632/7vj8r76s6f.
- Files 'SET_CFC.outl.del.RData' contains the complete dataset with missing values and outliers deleted.
- File 'Codebook_SET_CFC.outl.del.csv' contains a description of all variables in the 'SET_CFC.outl.del.RData' file (metadata).
- Files 'SET_CFC.outl.del.imp.RData' and 'SET_CFC.outl.del.imp.extra.RData' contain multiple imputed datasets (without missing values) that can be used to reproduce results from the paper.
- File 'LSA_HSA_brief.RData' contains data to use as informed priors for the Bayesian analyses, calculated from data published at https://doi.org/10.3758/s13415-018-0603-7.
- File 'Codebook_LSA_HSA_brief.csv' contains a description of all variables in the 'LSA_HSA_brief.RData' file (metadata).
- File '01_CalculationOfData.R' is an R analysis script that imports the raw data, calculates new variables, and imputes missing data via multiple imputation using the 'predictorMatrixAdj.xlsx' file.
- File '02_AnalysisOfImputedData.R' is an R analysis script that calculates descriptive statistics, creates plots, and tests hypotheses using t-tests, Bayesian statistics, and multiple lineair regressions. Also uses the custom functions: 'BF.evidence.R', 'cohen.d.magnitude.R' and 'p.value.sig.R', as well as the 'BF_t.R' file as taken from https://doi.org/10.17045/sthlmuni.4981154.v3....**Oscillation** ... Open data and R analysis scripts for the paper as submitted for publication: "Poppelaars, E. S., Klackl, J., Pletzer, B., & Jonas, E. (2019). Delta-beta cross-**frequency** coupling as an index of stress regulation during social-evaluative threat."
Hypotheses and analyses were preregistered: Poppelaars, E. S., Klackl, J., Pletzer, B., & Jonas, E. (2018). Delta-beta cross-**frequency** coupling as an index of stress regulation during social-evaluative threat. Open Science Framework. https://osf.io/8gchf/register/565fb3678c5e4a66b5582f67.
Description of the dataset:
A dataset of 37 men and 30 women (tested in the luteal phase of their menstrual cycle) participated in a public speaking task to induce social-evaluative threat. Responses of multiple stress systems were measured (sympathetic and parasympathetic nervous system activity, self-reported affect, and hypothalamic–pituitary–adrenal axis activity), as well as personality traits (e.g. trait social anxiety), and EEG delta-beta cross-**frequency** coupling (e.g., frontal and parietal amplitude-amplitude correlation and phase-amplitude coupling).
Description of analyses files:
- File 'README.txt' contains the description of the files (metadata).
- File 'SET_CFC_MatlabOutput.xlsx' contains the delta-beta coupling data, calculated using MATLAB scripts from https://github.com/ESPoppelaars/Cross-**frequency**-coupling.
- File 'SETData.sav' contains the raw stress and personality data, taken from https://doi.org/10.17632/7vj8r76s6f.
- Files 'SET_CFC.outl.del.RData' contains the complete dataset with missing values and outliers deleted.
- File 'Codebook_SET_CFC.outl.del.csv' contains a description of all variables in the 'SET_CFC.outl.del.RData' file (metadata).
- Files 'SET_CFC.outl.del.imp.RData' and 'SET_CFC.outl.del.imp.extra.RData' contain multiple imputed datasets (without missing values) that can be used to reproduce results from the paper.
- File 'LSA_HSA_brief.RData' contains data to use as informed priors for the Bayesian analyses, calculated from data published at https://doi.org/10.3758/s13415-018-0603-7.
- File 'Codebook_LSA_HSA_brief.csv' contains a description of all variables in the 'LSA_HSA_brief.RData' file (metadata).
- File '01_CalculationOfData.R' is an R analysis script that imports the raw data, calculates new variables, and imputes missing data via multiple imputation using the 'predictorMatrixAdj.xlsx' file.
- File '02_AnalysisOfImputedData.R' is an R analysis script that calculates descriptive statistics, creates plots, and tests hypotheses using t-tests, Bayesian statistics, and multiple lineair regressions. Also uses the custom functions: 'BF.evidence.R', 'cohen.d.magnitude.R' and 'p.value.sig.R', as well as the 'BF_t.R' file as taken from https://doi.org/10.17045/sthlmuni.4981154.v3.

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