Solving a Rough Interval Linear Fractional Programming problem

In this paper, A rough interval linear fractional programming( RILFP)problem is introduced. The RILFP problemis considered by incorporating rough interval in the objective function coefficients. This proved the RILFP problem can be converted to a rough interval optimization problem with rough interval objective which is upper and lower approximations are linear fractional whose bounds. Also there is a discussion for the solutions of this kind of optimization problem. An illustrative numerical example is given for the developed theory

Semi-supervised sequence tagging with bidirectional language models

Pre-trained word embeddings learned from unlabeled text have become a standard component of neural network architectures for NLP tasks. However, in most cases, the recurrent network that operates on word-level representations to produce context sensitive representations is trained on relatively little labeled data. In this paper, we demonstrate a general semi-supervised approach for adding pre- trained context embeddings from bidirectional language models to NLP systems and apply it to sequence labeling tasks. We evaluate our model on two standard datasets for named entity recognition (NER) and chunking, and in both cases achieve state of the art results, surpassing previous systems that use other forms of transfer or joint learning with additional labeled data and task specific gazetteers.Comment: To appear in ACL 201

Esr and relaxation studies in doped calcium tungstate and magnesium oxide

As a precursor to the ESR and relaxation studies, measurements of the dielectric constants and loss for pure single crystals of calcium tungstate have been made at 1 MHz and room temperature giving values of e (_a) - 11.3 ± 0.4, e (_c) = 9.1 + 0.4 and 5 x 10 (^-3) which agree closely with Grower and Fang’s. Our measurements were extended to frequencies up to 80 MHz and to samples doped with neodymium and gadolinium. A detailed investigation has been made of the splitting of the ESR transitions in low concentration Gd (^3+) / CaWO (_4) reported first By Buckley in 1973; this has led to the proposition of an ordered oxygen vacancy model giving rise to two slightly different Gd environments in both of which Gd substitutes for Ca at calcium sites. Sources for anomalies in the ESR spectra of rare earth ions in scheelite are briefly discussed. Spin-lattice relaxation measurements for Gd (^3+) / CaWO (_4) were carried out at 37.5 GHz and in the temperature range from 4.2 K to 30 K. The relaxation in the 'direct' region agrees with preliminary measurements reported by Thorp et al, 1974, i.e. T (_1) = 5.8 m sec at 4.2 k. The change from direct to Raman behaviour occurs near 8 K, and between 8 K and 30 K a T (_1) a T (^-3) law. This behaviour in the higher temperature range is explained by the assumption of crystal imperfections. Measurements of spin-lattice relaxation were also made for Fo (^3+) / MgO in the same temperature range; here a T (^4.6) variation was found in the Raman region and the transition temperature between the direct and Raman processes was about 20 K. The data provided another example of an S-state ion behaving in the manner predicted by the present theories of relaxation. In the last chapter an account is given of the combined use of ESR and TEM (Transmission Electron Microscopy) techniques, in an investigation of the role of Impurities (mainly iron) in the growth of cavities in neutron-irradiated magnesium oxide crystals

Specific recognition of a multiply phosphorylated motif in the DNA repair scaffold XRCC1 by the FHA domain of human PNK.

Short-patch repair of DNA single-strand breaks and gaps (SSB) is coordinated by XRCC1, a scaffold protein that recruits the DNA polymerase and DNA ligase required for filling and sealing the damaged strand. XRCC1 can also recruit end-processing enzymes, such as PNK (polynucleotide kinase 3'-phosphatase), Aprataxin and APLF (aprataxin/PNK-like factor), which ensure the availability of a free 3'-hydroxyl on one side of the gap, and a 5'-phosphate group on the other, for the polymerase and ligase reactions respectively. PNK binds to a phosphorylated segment of XRCC1 (between its two C-terminal BRCT domains) via its Forkhead-associated (FHA) domain. We show here, contrary to previous studies, that the FHA domain of PNK binds specifically, and with high affinity to a multiply phosphorylated motif in XRCC1 containing a pSer-pThr dipeptide, and forms a 2:1 PNK:XRCC1 complex. The high-resolution crystal structure of a PNK-FHA-XRCC1 phosphopeptide complex reveals the basis for this unusual bis-phosphopeptide recognition, which is probably a common feature of the known XRCC1-associating end-processing enzymes

Interactive Two-Stage Stochastic fuzzy Rough Programming for Water Resources Management

This paper deals with a fuzzy programming approach for treating an interactive two-stage stochastic rough-interval water resource management. The approach has been developed by incorporating an interactive fuzzy resolution method within a rough two-stage stochastic programming framework. The approach can not only tackle dual rough intervals presented as an inexact boundary intervals that exist in the objective function and the left- and right-hand sides of the constraints that are associated with different levels of economic penalties when the promised policy targets are violated. The results indicate that a set of solutions under different feasibility degrees has been generated for planning the water resources allocation. They can help the decision makers to conduct in depth analysis of tradeoffs between economic efficiency and constraint-violation risk, as well as enable them to identify, in an interactive way, a desired compromise between satisfaction degree of the goal and feasibility of the constraints. A management example in terms of rough-intervals water resources allocation has been treated for the sake of applicability of the proposed approach

Self-interference cancellation in underwater acoustic communications systems using orthogonal pilots in IBFD

This paper proposes a Self-interference (SI) cancellation system model of Underwater acoustic (UWA) communication for in-band full-duplex (IBFD) technology. The SI channel is separated from the Far channel by exploiting a concurrently orthogonal pilot channel estimation technique using two orthogonal frequency-division multiplexing (OFDM) blocks to establish orthogonality between them based on a unitary matrix. Compared to the half-duplex channel estimator, the mean squared error (MSE) and the bit error rate (BER) provided strong evidence for the efficiency of the proposed SI cancellation. Since full-duplex systems are more efficient than half-duplex ones, the proposed approach might be seen as a viable option for them. The proposed method proved effective when used with a fixed full-duplex (FD) position and FD shifting of up to 4°. Different channel lengths and distances are adopted to evaluate the proposed method. Initial findings indicate that MSE for the SI channel minimum mean-square error (MMSE) estimator at 20 dB is 0.118 · 10−3, for fixed FD. In addition, this paper presents a geometry channel model for the Far channel in the IBFD underwater communication system that describes the propagation delay of the multipath reflection. The simulation results for the multipath propagation delay spread are similar to the traditional results, with the delay spread of the suggested model reaching (79 ms), which is close to the Bellhop simulator result (78 ms)

Performance enhancement of sensor network architecture for monitoring underwater oil pipeline

In this paper, a deployment mechanism is designed to distribute heterogeneous nodes to optimally cover the pipeline where the mechanism helps locate each node on the wall of the oil pipeline where the number of nodes can be increased depending on this mechanism. The six-layer network hierarchy includes basic sensor nodes (BSN), aggregation relay node (ARN) that added to the network hierarchy, data relay nodes (DRN), data dissemination node (DDN), base station (sinks), and network control center (NCC). This network relies on the improved smart redirect or jump algorithm (SRJ) by sending packets depend on the active relay nodes in both directions that are within the transmission range of the ARNs instead of relying on the number of hops adopted by the SRJ algorithm to reduce the network delay, the energy consumed in relay nodes, and the number of times the DRNs increased transmission range. The OMNeT++ and MATLAB programs were used to implement the simulation scenario. The results showed superiority in terms of the average overhead communication, energy consumption, and end to the end delay with network delay in some cases rely on the number of active relay nodes