## What is/are Dynamics Predict?

Dynamics Predict - Through extensive simulations on the artificial and the real gene expression datasets, CGA-BNI showed better performance than four other existing methods in terms of both structural and dynamics prediction accuracies.^{[1]}Quantum electrodynamics predicts that the vacuum must behave as a nonlinear optical medium: the speed of light should be modified when the vacuum is stressed by intense electromagnetic fields.

^{[2]}Additionally, aerodynamics predict that heavier birds can achieve faster ight, a further advantage for exploring isolated habitats.

^{[3]}Electron backscatter diffraction (EBSD), X-ray diffraction (XRD), cooling curve thermal analysis, simulation based on the finite element method (FEM), thermodynamics predictions, tensile testing, and optical microscopy were used for characterization.

^{[4]}The article is devoted to the topical issue of dynamics prediction for a composite wide - chord fan blade with effective elastic constants properties of the equivalent homogeneous material.

^{[5]}High-resolution transmission electron microscopy (HRTEM), field emission scanning electron microscopy (FESEM), X-ray photoelectron spectroscopy (XPS), field emission-electron probe microanalyzer (FE-EPMA), and high-resolution X-ray diffractometry (HRXRD) were employed to study the SPSed sample, along with the thermodynamics predictions.

^{[6]}In summary, a simplified, easy to calculate risk score that incorporates age and invasive hemodynamics predicts in-hospital mortality in patients ≥ 60 years old undergoing PPCI for STEMI.

^{[7]}Echoing classical physics, quantum electrodynamics predicts the release of a spectral continuum of electromagnetic radiation upon the sudden acceleration of charged particles in quantum matter.

^{[8]}Besides, to get a better understanding of phase change phenomena of thin film liquid, the time-averaged wall heat flux (qavg) obtained from the MD simulation has been compared with classical thermodynamics prediction.

^{[9]}Standard thermodynamics predicts a sigmoidal relationship between temperature and relative solubility and this is the basis of current robust statistical procedures.

^{[10]}The goal of this article is to build a dynamics prediction model, in order to estimate the propagation characteristics of Asian giant hornets in Washington State.

^{[11]}The minimum energy path is also predicted to shift in product preference, consistent with the dynamics predictions.

^{[12]}The dynamics predicts decoherence both in position and in energy momentum.

^{[13]}Thermodynamics predicts a positive correlation between environmental redox potential and oxidation state of molecules; if found for microbial communities it would imply a new kind of deterministic eco-evolutionary process.

^{[14]}We confirm the previous observation that event-by-event hydrodynamics predicts a correlation between ${v}_{n}$ and $\ensuremath{\langle}{p}_{t}\ensuremath{\rangle}$ that is similar to that measured in data.

^{[15]}For getting an optimum fluidized bed hydrodynamics prediction, three different classical ANSYS Fluent drag models, namely Wen-Yu, Syamlal O’Brien, and Gidaspow are examined first.

^{[16]}Particle agglomeration is observed in slurry loop reactors due to the presence of cohesive force between the swollen polyethylene (PE) particles, which has direct impact on the hydrodynamics predictions.

^{[17]}(ii) Larger-scale collective moves, modelling advective hydrodynamic fluid motion, determined by considering the dynamics predicted by a thin-film equation.

^{[18]}The results show that the dynamics predicted with RCCE agree well with that from the full description.

^{[19]}BMV is a polarimetric search for the quantum electrodynamics predicted anisotropy of vacuum in the presence of external electromagnetic fields.

^{[20]}By contrast, drops immersed in a miscible background fluid do not relax to a steady shape: they elongate indefinitely, their length following a power-law l(t) ∼ t2/5 in very good agreement with the dynamics predicted by Lister and Stone (J.

^{[21]}First, the dynamic model of the parallel tool head is established in joint space, and the dynamics prediction problem is described through a typical reciprocating feed motion experiment on a prototype.

^{[22]}Strong-field quantum electrodynamics predicts electron-seeded electron-positron pair cascades when the electric field in the rest-frame of the seed electron approaches the Sauter-Schwinger field, i.

^{[23]}Such parameters are needed for testing of quantum electrodynamics predictions through the spectroscopy of positronium.

^{[24]}Based on the dynamic characteristics of rotordynamics prediction by using finite element method both theoretical and software, the agitator in operating conditions with the rotation speed of 5 RPM according to Campbell diagram will not fail.

^{[25]}For the rotordynamics prediction of such a structure, the drillpipes are modelled with Timoshenko beam elements, containing 12° of freedom, equipped with distributed radial stop-ends.

^{[26]}Quantum electrodynamics predicts x-ray diffractions under a high-intensity laser field via virtual charged particles, and this phenomenon is called as vacuum diffraction (VD).

^{[27]}We provide numerical simulations of the full ion chain and show that they converge to the dynamics predicted by our analytic model with no fitting parameters.

^{[28]}In this paper, we generally formulate the dynamics prediction problem of various network systems (e.

^{[29]}Quantum electrodynamics predicts that in a strong electric field, electron–positron pairs are produced by the Schwinger process, which can be interpreted as quantum tunnelling through the Coulomb potential barrier.

^{[30]}In geochemical terms, thermodynamics predict a significant effect on the solvent properties of tensile water.

^{[31]}This work suggests that kinetic-based structure-activity of opioids in drug design and incorporation into the pharmacokinetics-pharmacodynamics predictions may have more value than thermodynamic equilibrium constants alone.

^{[32]}

## Fluid Dynamics Predict

It will be observed how Computational Fluid Dynamics predicts pressure drop with fair agreement with the experimental measurements.^{[1]}Computational fluid dynamics predicts that the corresponding drop in shear stress experienced by aged or TβRIIocy−/− osteocytes is highly sensitive to canalicular surface area but not tortuosity.

^{[2]}Deep learning models are not yet fully applied to fluid dynamics predictions, while they are the state-of-the-art solution in many other areas i.

^{[3]}Without modeling effects of dribble, computational fluid dynamics predictions of unburned hydrocarbon levels were between 2 and 20 times low.

^{[4]}The theoretical model assumes considerations that do not fully replicate the phenomenon, the experimental method provides real parameters for the design and implies high costs, and finally, computational fluid dynamics predicts the behaviors of thermal and hydraulic machine flows, in addition to recreating the phenomena almost exactly and complement the theoretical and experimental methods.

^{[5]}Then, we consider the case of a foil and compare the FBC results with Computational Fluid Dynamics predictions.

^{[6]}In order to study the effect of gas and liquid flow rate on the desulfurization efficiency, the computational fluid dynamics prediction model was applied.

^{[7]}Computational fluid dynamics predicted that more than 60% of the flow surface area was below the 12 dynes/cm2 atheroprotective threshold.

^{[8]}Further study is needed to evaluate how computational fluid dynamics predictions of combustion and emissions of affected when using these two rate of injection profiles.

^{[9]}The complete configuration model and hull model are employed in simulation to predict the aerodynamic and hydrodynamic forces separately for different demands of aerodynamic and hydrodynamic computational fluid dynamics predictions and computing efficiency.

^{[10]}The sensor can, therefore, be inserted further into the higher temperature section of the test article, thereby making it possible to capture higher frequency bandwidths of the thermoacoustic instabilities, which is critical for the validation of computational fluid dynamics predictive models.

^{[11]}

## Molecular Dynamics Predict

Combining classical molecular dynamics predictions of mechanical behavior with phonon-based calculations of thermal behaviors, we show that predicted shock-induced temperatures for pressures up to 6.^{[1]}The derived thermal rate coefficients exceed the ring polymer molecular dynamics prediction of Bulut et al.

^{[2]}Molecular dynamics prediction suggests that the novel mutation p.

^{[3]}

## Transmission Dynamics Predict

Mathematical modelling of transmission dynamics predicted reductions in clinical malaria incidence with barrier bednets that matched those of ‘next-generation’ nets recommended by the World Health Organization against resistant vectors.^{[1]}Incorporating these effects into a model of malaria transmission dynamics predicts that impregnating mosquito nets with Plasmodium inhibitors would substantially mitigate the global health effects of insecticide resistance.

^{[2]}

## Ctdna Dynamics Predict

Conclusions Early RAS ctDNA dynamics predicts benefit to first line CT+cetuximab in mCRC pts.^{[1]}Consistent with our initial findings, early ctDNA dynamics predicted pathologic response to immune checkpoint blockade.

^{[2]}

## Network Dynamics Predict

Linearized analysis of the network dynamics predicts when this shift leads to loss of oscillatory activity.^{[1]}Our model can be utilized for continuous-time network dynamics prediction, structured sequence prediction (a regularly-sampled case), and node semi-supervised classification tasks (a one-snapshot case) in a unified framework.

^{[2]}

## Brain Dynamics Predict

Using multivariate classification and prediction analyses, we examined whether dopaminergic modulations of task-free resting-state brain dynamics predict individual differences in pramipexole’s modulation of facial attractiveness evaluations.^{[1]}Seizure precursors – changes in brain dynamics predictive of an impending seizure – can now be identified well ahead of clinical manifestations, but either the seizure onset zone or remote brain areas are reported as network nodes from which seizure precursors emerge.

^{[2]}

## Adaptive Dynamics Predict

By exploiting strong connections between classical adaptive nonlinear control techniques and recent progress in optimization and machine learning, we show that there exists considerable untapped potential in algorithm development for both adaptive nonlinear control and adaptive dynamics prediction.^{[1]}Adaptive dynamics predict that the NE is stable for one of our parameter sets and unstable for another.

^{[2]}

## dynamics predict mortality

CONCLUSIONS Invasive exercise haemodynamics predict mortality and improve prognostic information about surgery during follow-up derived from current guideline criteria in asymptomatic patients with severe mitral regurgitation.^{[1]}INTERPRETATION Periodic repolarisation dynamics predict mortality reductions associated with prophylactic implantation of ICDs in contemporarily treated patients with ischaemic or non-ischaemic cardiomyopathy.

^{[2]}