OBJECTIVES The purpose of this study was to identify ventricular tachycardia (VT) isthmus sites by pace-mapping within scar tissue and to identify electrogram characteristics that are helpful in identifying VT isthmus sites during sinus rhythm (SR). BACKGROUND Pace-mapping has been used in the scar border zone to identify the exit site of post-infarction VT. METHODS In 19 consecutive patien...

VTS Dumai adalah instansi di bawah Kementerian Perhubungan yang memberikan pelayanan lalu lintas kapal untuk wilayah serta dirancang meningkatkan keselamatan kapal, efisiensi bernavigasi dan menjaga lingkungan. Dengan layanan diberikan tersebut, juga bertugas dalam proses penerimaan PNBP jasa kenavigasian VTS. Permasalahannya VTS, khususnya penyampaian laporan keberangkatan perhitungan jumlah h...

BACKGROUND The complete reentrant circuit for ablation of reentrant ventricular tachycardia (VT) in humans can rarely be localized by mapping. As a result, surrogate markers, such as diastolic electrical activity, subsequently confirmed by entrainment, have been used. However, ablation at those sites has had variable efficacy. The reasons for this variability are not clear. METHODS AND RESULT...

Today, the most important aspect related with the Internet architecture is its ossification representing the difficulties to introduce evolutions in the architecture as a way to meet the demands posed by the new requirements as mobility, security, heterogeneity, etc. In this paper we discuss how the network virtualization can be used to support the interdomain QoS-enabled routing. We present th...

Increasing implantable cardioverter-defibrillator (ICD) use in response to broad indications in recent years has heightened the need to better refine selection for patients most likely to benefit. Although no single test adequately predicts sudden cardiac death risk, it seems intuitive that the best markers should be those that directly reflect electric instability and abnormalities of the unde...

Vision Transformers (VTs) are becoming a valuable alternative to Convolutional Neural Networks (CNNs) when it comes problems involving high-dimensional and spatially organized inputs such as images. However, their Transfer Learning (TL) properties not yet well studied, is fully known whether these neural architectures can transfer across different domains CNNs. In this paper we study VTs that p...

The challenges of globalisation in the 21st century have forced many organisations to consider the adoption of distributed projects for horizontal and vertical cooperation with other companies to sustain competitive advantage. Analysts have predicted that spending on distributed project management solutions will grow from $2 billion in 2002 to $7 billion in 2007 (Collaborative Strategies, 2003)...

Adaptive training is a powerful approach for building speech recognition systems using non-homogeneous data. This work presents an extension of model-based adaptive training to handle reverberant environments. The recently proposed Reverberant VTS-Joint (RVTSJ) adaptation[1] is used to factor out unwanted additive and reverberant noise variations in multiconditional training data, yielding a ca...

In our previous work, we proposed a feature compensation approach using high-order vector Taylor series approximation for noisy speech recognition. In this paper, first we improve the feature compensation in both efficiency and accuracy by boosted mixture learning of GMM, applying higher order information of VTS approximation only to the noisy speech mean parameters, acoustic context expansion,...