Background: This study assessed the optimal timing of computed tomography for detection of metastatic disease in locoregional lymph nodes in patients with rectal cancer who have undergone chemoradiotherapy. Materials and Methods: This observational retrospective study was performed in a single institution. All patients with locally advanced rectal cancer treated with chemoradiotherapy, followed...

Abstract Given the importance of collocational knowledge for second language learning, how collocation learning can be facilitated is an important question. The present study examined effects three different practice schedules on learning: node massed, and spaced. In node-massed schedule, collocations same verb were studied day. collocation-massed in weeks. collocation-spaced participants encou...

In this paper, a cooperative algorithm to improve the orthogonal space-timefrequency block codes (OSTFBC) in frequency selective channels for 2*1, 2*2, 4*1, 4*2 MIMO-OFDM systems, is presented. The algorithm of three node, a source node, a relay node and a destination node is formed, and is implemented in two stages. During the first stage, the destination and the relay antennas receive the sym...

SimRank is an intuitive and effective measure for link-based similarity that scores similarity between two nodes as the first-meeting probability of two random surfers, based on the random surfer model. However, when a user queries the similarity of a given node-pair based on SimRank, the existing approaches need to compute the similarities of other node-pairs beforehand, which we call an all-p...

We present a study in Distributed Deep Reinforcement Learning (DDRL) focused on scalability of a state-of-the-art Deep Reinforcement Learning algorithm known as Batch Asynchronous Advantage ActorCritic (BA3C). We show that using the Adam optimization algorithm with a batch size of up to 2048 is a viable choice for carrying out large scale machine learning computations. This, combined with caref...

It is very difficult and expensive to replace sensor node battery in wireless sensor network in many critical conditions such as bridge supervising, resource exploration in hostile locations, and wildlife safety, etc. The natural choice in such situations is to maximize network lifetime. One such approach is to divide the sensing area of wireless sensor network into clusters to achieve high ene...

|{ We show that, for feedforward nets with a single hidden layer, a single output node, and a \transfer function" Tanhs, the net is uniquely determined by its input-output map, up to an obvious nite group of symmetries (permutations of the hidden nodes, and changing the sign of all the weights associated to a particular hidden node), provided that the net is irreducible, i.e. that there does no...

Learning distributed node representations in networks has been a�racting increasing a�ention recently due to its e�ectiveness in a variety of applications. Existing approaches usually study networks with a single type of proximity between nodes, which de�nes a single view of a network. However, in reality there usually exists multiple types of proximities between nodes, yielding networks with m...

The aim of this study was to evaluate the utility of lymph node metastasis classification based on the number of positive stations in patients undergoing surgical management of esophageal cancer. Of 257 patients who underwent curative esophagectomy, 126 patients with lymph node involvement underwent assessment of nodal metastasis mode according to the 7th edition of the TNM classification (UICC...

objective: the purpose of this pilot study was to determine whether the mri and biomarkers human epididymis protein 4 (he 4 ) and ca 125 correlate with depth of myometrial invasion, histologic grade, cervical involvement and nodal metastases in patients with endometrioid adenocarcinoma of the uterus. materials and methods: this was a prospective, observational study in women with biopsy-proven ...