Currently the best algorithms for transcription factor binding site prediction are severely limited in accuracy. There is good reason to believe that predictions from these different classes of algorithms could be used in conjunction to improve the quality of predictions. In this paper, we apply single layer networks and support vector machines on predictions from key algorithms. Furthermore, w...

In a magnetic amplifying magnetooptical system (MAMMOS) disk, the copying process of a magnetic domain from the recording layer into the readout layer is investigated by using a laser spot diameter of 0.66 m. Interference between neighboring bits occurs when the spatial resolution of the copy process is larger than half the domain size. It is observed that a reduction of the readout power from ...

Experimental data derived from two classes of superior colliculus neurons*deep layer neurons (DLNs) and super"cial layer neurons (SLNs)*have been used to study the in#uence of dendritic anatomy on synaptic input processing. Anatomical measures of dendrites were "rst determined. Compartmental neuron models (3 of each class) were built to estimate passive membrane parameters and to calculate func...

The capability of storing multi-bit information is one of the most important challenges in memory technologies. An ambipolar polymer which intrinsically has the ability to transport electrons and holes as a semiconducting layer provides an opportunity for the charge trapping layer to trap both electrons and holes efficiently. Here, we achieved large memory window and distinct multilevel data st...

̋ We overview in this paper the enhancement of TCP’s congestion control mechanisms using Explicit Congestion Notification (ECN) over ATM networks. Congestion is indicated by not only packet losses as is currently the case but an agent implemented at the network’s edge as well. The agent bridges the gap between the ATM layer and the TCP layer in the protocol stack at the receiver end and coordina...

An encoder-decoder architecture with recurrent neural networks in both the encoder and decoder is a standard approach to the question-answering problem (finding answers to a given question in a piece of text). The Dynamic Coattention[1] encoder is a highly effective encoder for the problem; we evaluated the effectiveness of different decoder when paired with the Dynamic Coattention encoder. We ...

Quality of service in wireless networks cannot be achieved without the support for service differentiation at the medium access layer. IEEE802.11 layer suffers from QoS limitations that are summarized in [1] along with a survey of the current research work to enhance QoS. This paper presents simulation results to show the effectiveness of prevalent techniques of improving the QoS in IEEE802.11....

In this paper, we address the congestion control multicast routing problem in wireless ad hoc networks through the medium access control (MAC) layer. We first introduce the Broadcast Medium Window (BMW) MAC protocol, which provides reliable delivery to broadcast packets at the MAC layer. We then extend the wireless On-Demand Multicast Routing Protocol (ODMRP) to facilitate congestion control in...

Large-area epitaxial graphene films were grown on cobalt by thermal cracker enhanced gas source molecular beam epitaxy. Growth conditions including growth temperature and growth time play important roles in the resulting morphology of as-grown films. High-quality graphene films can be achieved in a small growth window. Fast cooling rate was not required in this process due to direct growth mech...

We present a practical measurement-based characterization of the aggregated traffic on microseconds time scale in wireless networks. The model allows estimating the channel utilization for the period of time required to transmit data structures of different sizes (short control frames and a data packet of the maximum size). The presented model opens a possibility to mitigate the effect of inter...