Superior vena cava syndrome (SVCS) is usually caused by extrinsic compression or invasion of the superior vena cava (SVC) by malignant tumors involving mediastinal structures. Although thymomas are well-known causes of SVCS, cases of SVCS caused by malignant thymomas protruding into adjacent vessels draining the SVC with thrombosis have been very rarely reported worldwide. We experienced a 39-y...

This paper presents an efficient data preprocessing procedure for the support of vector clustering (SVC) to reduce the size of a training dataset. Solving the optimization problem and labeling the data points with cluster labels are time-consuming in the SVC training procedure. This makes using SVC to process large datasets inefficient. We proposed a data preprocessing procedure to solve the pr...

The current management of neoplastic obstruction, SVC, and brachiocephalic vein thrombosis, especially of SVC, is based on the combined use of interventional (endovascular thrombolysis or thrombectomy, stent placement) and noninterventional (radiation, chemotherapy) means of treatment. We present the case of a forty-year-old woman with SVC and left brachiocephalic vein thrombosis secondary to l...

A central venous catheter tip located too high into the superior vena cava (SVC) is known to be a strong risk factor for central venous thrombosis and subsequent SVC syndrome. We report herein the usefulness of catheterizing the implanted port catheter lumen as a salvage procedure to circumvent a complete SVC occlusion in a breast cancer patient. Because the standard central vein catheterizatio...

Malignancy is the most common cause of the superior vena cava (SVC) syndrome. The incidence of the SVC syndrome arising from benign aetiologies is increasing and accounts for ∼35% of cases [1]. The uraemic populations, with increased use of intravascular catheters, contribute importantly to this phenomenon. We describe a haemodialysis patient with SVC syndrome due to a long-term implantation of...

In this paper, the Static Var Compensator (SVC) has been used to improve dynamic behaviour of power system. To do this, a new objective function is formulated considering power loss reduction, voltage profile improvement and loadability margin decrease. Other contribution of this research is proposing a novel structure for Particle Swarm Optimization (PSO) algorithm through modifying the initia...

Urban traffic forecasting models generally follow either a Gaussian Mixture Model (GMM) or Support Vector Classifier (SVC) to estimate the features of potential road accidents. Although SVC can provide good performances with less data than GMM, it incurs higher computational cost. This paper proposes novel framework that combines descriptive strength high-performance classification capabilities...

This paper addresses serial verb constructions (SVCs) in English and Mandarin. Although Mandarin and English is different in the total number of SVC types, three so-called SVC types are found to be common across English and Mandarin: purposive SVCs (e.g. go eat); causative SVCs (e.g. I made him laugh); perceptive SVCs (e.g. I saw him laugh). This paper has demonstrated typical SVCs have unique ...

This paper proposes a new selective encryption scheme and a key management scheme for layered access control of H.264/SVC. This scheme encrypts three domains in hierarchical layers using different keys: intra prediction modes, motion vector difference values and sign bits of texture data. The proposed scheme offers low computational complexity, low bit-overhead, and format compliance by utilizi...