Interferon-α based therapy for chronic hepatitis C (CHC) is associated with thyroiditis and thyroid dysfunction (TD). This study investigated whether TD during pegylated interferon-α (PEG-IFN) plus ribavirin treatment favors sustained viral response (SVR), and also the association between TD and PEG-IFN formulations. This retrospective study was performed in CHC patients who had received PEG-IF...

BACKGROUND This study investigates the use of TomoDirect™ 3DCRT for whole breast adjuvant radiotherapy (AWBRT) that represents a very attractive treatment opportunity, mainly for radiotherapy departments without conventional Linacs and only equipped with helical tomotherapy units. METHODS Plans were created for 17 breast cancer patients using TomoDirect in 3DCRT and IMRT modality and field-in...

<p>Hadoop distributed file system (HDFS) is the whereby Hadoop use it to store all upcoming data inside it. Since been declared, HDFS consuming a huge memory amount in order serve normal dataset. Nonetheless, current saving mechanism save only one datablock. Thus, with just 5 Mb size will take up whole datablock capacity causing rest of unavailable for other files, and this considered was...

<span lang="EN-US">Entering higher education and starting new living can be challenging for students. They need many information to integrate themselves communities conform organizational culture, systems programs. Organizational socialization is one of several options which may promote the students’ adjustment process, facilitate their learning process survive thrive. Despite important r...

AIMS M-mode left atrioventricular plane displacement (AVPD) correlates with Tissue Doppler (TD) peak systolic annular velocity in healthy individuals. This approach is biased by several interacting factors related to the structural complexity of mitral annulus physiology, including the different dimensional values of measures, the confounding effect of isovolumic motions, and the spectral thick...

We present a new family of gradient temporal-difference (TD) learning methods with function approximation whose complexity, both in terms of memory and per-time-step computation, scales linearly with the number of learning parameters. TD methods are powerful prediction techniques, and with function approximation form a core part of modern reinforcement learning (RL). However, the most popular T...

The National Cancer Institute has been a leader in supporting transdisciplinary (TD) team science. From 2005-2010, the NCI supported Transdisciplinary Research on Energetic and Cancer I (TREC I), a center initiative fostering the TD integration of social, behavioral, and biological sciences to examine the relationships among obesity, nutrition, physical activity and cancer. In the final year of...

O artigo problematiza sentidos atribuídos por estudantes às tecnologias digitais (TD) em práticas letradas escolares e não a partir de sua participação um clube Inglês. Com base na abordagem sociocultural dos letramentos perspectiva etnográfica, realizamos uma entrevista semiestruturada com três integrantes do torno TD desenvolvidas naquele contexto. A interpretações qualitativas, os resultados...

Approximate policy evaluation with linear function approximation is a commonly arising problem in reinforcement learning, usually solved using temporal difference (TD) algorithms. In this paper we introduce a new variant of linear TD learning, called incremental least-squares TD learning, or iLSTD. This method is more data efficient than conventional TD algorithms such as TD(0) and is more comp...