Time-resolved spectroscopic analysis of the light-energy harvesting mechanism in carbazole-dendrimers with a blue-phosphorescent Ir-complex core

2017 ◽  
Vol 19 (30) ◽  
pp. 20093-20100 ◽  
Author(s):  
Yang-Jin Cho ◽  
So-Yoen Kim ◽  
Mi Rang Son ◽  
Ho-Jin Son ◽  
Dae Won Cho ◽  
...  
Keyword(s):  
Energy Harvesting ◽  
Spectroscopic Analysis ◽  
Transient Absorption ◽  
Decomposition Analysis ◽  
Light Energy ◽  
Singular Value Decomposition Analysis ◽  
Time Resolved ◽  
Transient Absorption Spectra ◽  
Complex Core ◽  
Value Decomposition

In order to understand the light energy-harvesting mechanism, singular value decomposition analysis was performed to classify the temporal and spectral species in transient absorption spectra.

Relative contribution of Trend and Interannually-varying SST Anomalies to the 2018 Heat Waves in the Extratropical Northern Hemisphere

2021 ◽  
pp. 1-58
Author(s):  
Chi-Cherng Hong ◽  
Wang-Ling Tseng ◽  
Huang-Hsiung Hsu ◽  
Ming-Ying Lee ◽  
Chi-Chun Chang
Keyword(s):  
Northern Hemisphere ◽  
Heat Waves ◽  
Northeast Asia ◽  
Decomposition Analysis ◽  
Warming Trend ◽  
Singular Value Decomposition Analysis ◽  
Relative Contribution ◽  
Symmetric Perturbation ◽  
Prolonged Heat ◽  
Value Decomposition

AbstractThe northern extratropics—including regions in northern Europe, northeast Asia, and North America—experienced extremely prolonged heat waves during May–August 2018. Record-breaking surface temperatures, which caused numerous deaths, were observed in several cities. The 2018 heat waves exhibited a circumglobal characteristic owing to a circumpolar perturbation (CCP) in the middle–upper troposphere of the Northern Hemisphere (NH). The CCP had two parts: a wave-like perturbation and a hemispheric perturbation that was almost zonally symmetric. Singular value decomposition analysis revealed that the zonally symmetric perturbation was coupled to the SST warming trend, whereas the wave-like perturbation was primarily coupled to the interannually-varying SST anomaly (SSTA), particularly in the tropical North Pacific, which reached an extreme in 2018. Numerical experiments confirmed that the zonally symmetric component was primarily resulted from the SSTA associated with the warming trend, whereas the interannually-varying SSTAs in the NH contributed mostly to the wave-like perturbation. The warming trend component of SSTA, especially that in the tropics, compounded by the unusually large SSTAs in 2018, was hypothesized to have contributed to inducing the circumpolar circulation anomaly that caused the record-breaking heat waves in the extratropical NH in 2018.

scholarly journals Composite Singular Value Decomposition Analysis of Moisture Variations Associated with the Madden–Julian Oscillation: ERA-40 Analysis

2005 ◽  
Vol 18 (20) ◽  
pp. 4329-4335 ◽  
Author(s):  
Bryan C. Weare
Keyword(s):  
Singular Value Decomposition ◽  
Decomposition Analysis ◽  
Longwave Radiation ◽  
Singular Value ◽  
Specific Humidity ◽  
Striking Difference ◽  
Time Lags ◽  
Madden Julian Oscillation ◽  
Singular Value Decomposition Analysis ◽  
Value Decomposition

Abstract The role of moisture variations in the initiation of Madden–Julian oscillation (MJO) variability is reexamined through composite singular value decomposition (CSVD) analyses using the European Centre for Medium-Range Weather Forecasts (ECMWF) 40-yr Re-Analyses (ERA-40) data. The CSVD analyses at various time lags are carried out to discern the complex space–time relationships between convection identified using outgoing longwave radiation and 1000-hPa divergence, 850-hPa specific humidity, and surface evaporation. The most striking difference from the earlier analyses using NCEP–NCAR reanalysis data is that the observed relations between 20–100-day filtered OLR and ∇ · V1000 anomalies are weaker and less significant in the current analyses. On the other hand, both analyses show increasing low-level moisture near and to the east of the developing convection. Thus, both results imply that moisture preconditioning of convective events is not totally driven by boundary layer moisture convergence.

NORMAL MODE ANALYSIS OF A SINGLE-WALLED CARBON NANOTUBE BASED ON MOLECULAR DYNAMIC: A SINGULAR VALUE DECOMPOSITION STUDY

2010 ◽  
Vol 09 (05) ◽  
pp. 471-486 ◽  
Author(s):  
S. NEGI ◽  
S. CHATURVEDI
Keyword(s):  
Carbon Nanotube ◽  
Singular Value Decomposition ◽  
Normal Modes ◽  
Decomposition Analysis ◽  
Singular Value ◽  
Singular Value Decomposition Analysis ◽  
Single Walled Carbon Nanotube ◽  
Single Walled Carbon ◽  
Value Decomposition ◽  
Radial Stretching

The complete set of significant normal modes of a single-walled carbon nanotube has been extracted using singular value decomposition analysis of this molecular dynamics data. The first part of this study focuses on an isolated single-walled carbon nanotube performed with NVE Molecular Dynamic simulations. Singular value decomposition analysis is then done on this data. Normal modes are excited with an initial radial stretching given to all the atomic coordinates. For the case with 5% initial radial stretching given to the carbon nanotube, the two strongest modes involve radial breathing motion combined with a very slow rotational motion of individual rings of the nanotube. There is good agreement between the calculated frequency of radial breathing modes and published experimental measurements, as also the inverse scaling of this frequency with tube diameter. The coupling between these two motions weakens for a smaller initial perturbation. The next eight most significant modes are divided into two classes. The first class is characterized by mz = 0, i.e., axial uniformity and produces azimuthal variation in the radial positions of atoms, with a finite azimuthal mode number. The second class of modes has mθ = 0, with mz = 1 and 2, are with radial uniformity and leads to shifts in the X- and Y-centroid locations of different rings. Mode frequency and the associated spatial distortion are thus obtained for all the above-mentioned modes. Under NPT conditions, similar to laboratory conditions, i.e., at a constant temperature and pressure, mode frequencies change only slightly, but the hierarchy of modes is slightly different. External excitation produced at one of the normal mode frequencies, corresponding to centroid motion with (mθ = 0, mz = 1), shows a significant and steady increase in the amplitude of centroid displacement. Excitation at the second harmonic frequency leads to an initial increase in displacement amplitude, but eventual saturation. These conclusions are important for the application of carbon nanotubes in nanodevices, e.g., as nanomotors.

scholarly journals A study of coupling between viscoelastic parameters using the singular value decomposition analysis

2016 ◽  
pp. 309-317
Author(s):  
Е.С. Ефимова
Keyword(s):  
Singular Value Decomposition ◽  
Original Problem ◽  
Decomposition Analysis ◽  
Singular Value ◽  
Singular Value Decomposition Analysis ◽  
Viscoelastic Parameters ◽  
Standard Linear Solid Model ◽  
Standard Linear Solid ◽  
Standard Linear ◽  
Value Decomposition

Исследуется решение обратной задачи сейсмики в линеаризованной постановке для модели вязкоупругой среды. Для описания сред с поглощением используется обобщенная модель стандартного линейного твердого тела, опирающаяся на $\tau$-метод. Если при численном решении неоднородность одного из искомых параметров переходит в изменчивость другого, то такие параметры называются связанными. Связанность параметров является одним из проявлений некорректности изучаемой задачи. Для ее преодоления необходимо привлечение регуляризующей процедуры. В качестве таковой в работе предлагается использовать усечение сингулярного разложения для одновременного определения скорости продольных волн и их поглощения. В качестве параметризации среды рассматривается комбинация параметров Ламе и добротности. The solution of a linearized inverse seismic problem of viscoelasticity is studied. The generalized standard linear solid model and the $\tau$ method are used to describe media with attenuation. If the heterogeneity of one of the sought parameters influence the variability of another one during the process of numerical solution, then such parameters are said to be coupled. Such a coupling is a sign of ill-posedness of the original problem. A regularization is necessary to overcome this difficulty. To accomplish this, we propose the truncation of the singular value decomposition to simultaneously determine the P-velocity and its attenuation. A combination of the Lame parameters and the quality factor are used as the parametrization of the medium under consideration.

scholarly journals Analysis Of Electrocardiograms During Human Ventricular Arrhythmias For Optimizing Treatment Options

2021 ◽  
Author(s):  
Krishnanand Balasundaram
Keyword(s):  
Ventricular Arrhythmias ◽  
Treatment Options ◽  
Decomposition Analysis ◽  
Current Treatment ◽  
Hospital Environment ◽  
Circulation System ◽  
Structural Variations ◽  
Singular Value Decomposition Analysis ◽  
Strong Motivation ◽  
Value Decomposition

Cardiovascular diseases are diseases that arise from abnormal medical conditions of the heart and the circulation system. Ventricular arrhythmias are a subset that originates from rhythm disorders of the lower chambers (ventricles) of the heart. In spite of research and technology advancements, annually 350,000 sudden cardiac deaths are reported in North America (45,000 in Canada) most of which are ventricular fibrillation (VF) related. This serves as a strong motivation to improve upon or optimize the choice of current treatment options from an engineering perspective which could eventually help reduce the number of SCDs. The choice of the treatment vary in general based on the following two categories of affected population and the type of arrhythmia: (1) symptomatic patients who are prone to or have had arrhythmia occurrences and are currently under medical care and (2) people who suffer ventricular arrhythmias in an out-of-the-hospital environment. This thesis, by employing advanced signal analysis, attempts to improve the characterization of the ventricular arrhythmias, thereby providing better iscriminatory clues in assisting clinicians and emergency medical staff (EMS) to arrive at optimal treatments options for both the categories of affected population. In the study of symptomatic patients, the organizational structure of the arrhythmia was quantified using wavelet-singular value decomposition analysis, which lead to a novel sub-classification of the ventricular arrhythmia. Classification accuracies of 93.7% for ventricular tachycardia (VT)/non-VT classification and 80% for organized-VF /disorganized-VF classification were achieved. In the study of out-of-the-hospital arrhythmia instances, focal structural variations were analyzed using wavelets, which led to identifying a signal pattern that could serve as an important clue for the EMS personnel to improve the resuscitation outcomes. Using a database of 25 out-of-the hospital arrhythmia segments, the proposed analysis yielded a classification accuracy of 80%.

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