Accurate identification of ligand binding sites (LBS) on a protein structure is critical for understanding function and designing structure-based drugs. As the previous pocket-centric methods are usually based investigation pseudo-surface-points outside structure, they cannot fully take advantage local connectivity atoms within protein, as well global 3D geometrical information from all atoms. In this paper, we propose novel point clouds segmentation method, PointSite, accurate atoms, which...

The reconstruction of epicardial potentials (EPs) from body surface (BSPs) can be characterized as an ill-posed inverse problem which generally requires a regularized numerical solution. Two kinds errors/noise: geometric errors and measurement exist in the ECG make solution such more difficulty. In particular, will directly affect calculation transfer matrix A linear system equation AX = B. this paper, we have applied truncated total least squares (TTLS) method to reconstruct EPs BSPs. This...

During acquisition, due to economic and natural reasons, irregular missing seismic data are always observed. To improve accuracy in subsequent processing, the should be interpolated. A conditional generative adversarial network (cGAN) consisting of two networks, a generator discriminator, is deep-learning model that can used interpolate data. However, because cGAN typically set oriented, trained unable from an area different training set. We design based on Pix2Pix GAN synthetic synthesized...

This paper describes a biventricular model, which couples the electrical and mechanical properties of heart, computer simulations ventricular wall motion deformation by means model. In constructed electromechanical analysis was based on composite material theory finite-element method; propagation excitation simulated using an heart resulting active forces were used to calculate motion. Regional Lagrangian strain tensors calculated during systole phase. Displacements, minimum principal...

Abstract For prediction of urban remote sensing surface temperature, cloud, cloud shadow and snow contamination lead to the failure temperature inversion vegetation‐related index calculation. A time series framework under interference is proposed in this paper. This helpful solve problem impact data loss on prediction. Spatial temporal variation trends vegetation are analyzed using Landsat 7/8 2010 2019 from Beijing. The geographically weighed regression (GWR) method used realize simulation...

Brugada syndrome (BS) is a genetic disease identified by an abnormal electrocardiogram (ECG) (mainly ECGs associated with right bundle branch block and ST-elevation in precordial leads). BS can lead to increased risk of sudden cardiac death. Experimental studies on human ventricular myocardium have been limited due difficulties obtaining data. Thus, the use computer simulation important alternative. Most previous simulations were based animal heart cell models. However, species differences,...

Previous studies of the ECG inverse problem often assumed that heart was static during cardiac cycle; consequently, a time-dependent geometrical error thought to be unavoidably introduced. In this paper, motion is included in solutions electrocardiographic problem. Cardiac dynamics are simulated based on previously developed biventricular model coupled electrical and mechanical properties heart, ventricular wall deformation. forward computation, surface source method employed calculate...

In this paper, we present a unified electrodynamic heart model that permits simulations of the body surface potentials generated by in motion. The inclusion motion significantly improves accuracy simulated and therefore also 12-lead ECG.The key step is to construct an electromechanical model. cardiac excitation propagation electrical model, resulting active forces are used calculate ventricular wall based on mechanical source-field point relative position changes during systole diastole....

Regular sampled seismic data is important for processing. However, often missing due to natural or economic reasons. Especially, when encountering big obstacles, the will be in gaps, which more difficult reconstructed. Conditional generative adversarial networks (cGANs) are deep-learning models learning characteristics of reconstruct data. In this paper, we use a conditional Wasserstein network (cWGAN) interpolate gaps. We loss function train and gradient penalty WGAN (cWGAN-GP) enforce...

Abstract Stock price forecasting is an eye-catching research topic. In previous works, many researchers used a single method or combination of methods to make predictions. However, accurately predicting stock prices very difficult. To improve the precision, in this study, innovative prediction approach was proposed by recurrent substitution forecast error into historical neural network model through three steps. According data, initial predicted value next day obtained network. Then,...

3Glioblastoma multiforme is the most aggressive malignant brain tumor. However, treatment of glioblastoma faces great challenges owing to difficult penetration blood-brain barrier. Therefore, more effective strategies are desired quite urgently. In our study, a dual-targeting drug delivery system for co-loading with hydrophobic Gambogenic acid and hydrophilic PLHSpT was developed by cubosomes angiopep-2 decorating. The Ang-cubs-(GNA + PLHSpT) prepared high-temperature...

Calculating the potentials on heart's epicardial surface from body constitutes one form of inverse problems in electrocardiography (ECG). Since these are ill-posed, approach is to use zero-order Tikhonov regularization, where squared norms both residual and solution minimized, with a relative weight determined by regularization parameter. In this paper, we used three different methods choose parameter solutions ECG. The include L-curve, generalized cross validation (GCV) discrepancy...

An inverse methodology for the design of biologically loaded radio-frequency (RF) coils magnetic resonance imaging applications is described. Free space time-harmonic electromagnetic Green's functions and de-emphasized B/sub 1/ target fields are used to calculate current density on coil cylinder. In theory, with field in middle RF transverse plane, calculated distribution can generate an internal that reduce central overemphasis effect caused by field/tissue interactions at high frequencies....

This paper describes an electrical model of cardiac ventricles incorporating real geometry and motion. The heart anatomy its motion through the cycle are obtained from segmentations multiple-slice MRI time sequences; special conduction system is constructed using automated mapping procedure existing static model. mounted in anatomically realistic voxel human body. source surface potentials determined numerically both a finite-difference scheme boundary-element method with incorporation...

Asynchronous electrical activation, induced by bundle branch block (BBB), can cause reduced ventricular function. However, the effects of BBB on mechanical function heart are difficult to assess experimentally. Many models have been developed investigate cardiac properties during but mainly focused electrophysiological properties. To date, has not well investigated. Based a three-dimensional electromechanical canine model, complete left and right (LBBB RBBB) were simulated. The anatomical...

The boundary element method (BEM) is a commonly used numerical approach to solve biomedical electromagnetic volume conductor models such as ECG and EEG problems, in which only the interfaces between various tissue regions need be modeled. quality of discretization affects accuracy solution, construction high-quality meshes time-consuming always problem-dependent. Adaptive BEM (aBEM) has been developed validated an effective tackle problems mechanical fields, but not extensively investigated...

Seismic prospecting is one of the most important geophysical survey methods to understand earth's structure. Properly compensating anelastic attenuation seismic data help clearly characterize structure subsurface. Inverse Q-filtering processing efficient ways compensate for caused by Stability challenging task in inverse processing. In this letter, we introduce a shaping regularization method stabilize amplitude compensation operator Q-filtering. The stabilization can be used simultaneously...

The quality factor Q is an indispensable parameter for studying wave propagation in viscoelastic media. can not only be implemented improving the of records but also used directly indicating frequency-dependent anomalies induced by fluids, so it widely seismic exploration and clinical medicine. estimation here refers to extraction information from data; has aroused lots attention still somewhat controversial due limitations existing methods. In this letter, combined with a logarithmic...

Abstract For many MRI installations, the coil pattern that generates pulsed magnetic fields produced by gradient coils is not provided manufacturer. This has implications for accurate assessments of worker exposures, which currently an important topic research. To correctly model level exposure, a full three‐dimensional distribution field in locality magnet end required, can be difficult to obtain experimental measurements. research presents one possible approach, prediction current...

Abstract Accurate identifications of ligand binding sites (LBS) on protein structure is critical for understanding function and designing structure-based drug. As the previous pocket-centric methods are usually based investigation pseudo surface points (PSPs) outside structure, thus inherently cannot incorporate local connectivity global 3D geometrical information structure. In this paper, we propose a novel point clouds segmentation method, PointSite, accurate identification atoms, which...