Lepton Flavor Violating Radiative Decays in EW-Scale νR\nu_R Model: An Update

We perform an updated analysis for the one-loop induced lepton flavor violating radiative decays $l_i \to l_j \gamma$ in an extended mirror model. Mixing effects of the neutrinos and charged leptons constructed with a horizontal $A_4$ symmetry are also taken into account. Current experimental limit and projected sensitivity on the branching ratio of $\mu \to e \gamma$ are used to constrain the parameter space of the model. Calculations of two related observables, the electric and magnetic dipole moments of the leptons, are included. Implications concerning the possible detection of mirror leptons at the LHC and the ILC are also discussed.Comment: 9 figures, 36 single-side pages. Updated email addresses and referenc

On the energy efficiency of NOMA for wireless backhaul in multi-tier heterogeneous CRAN

This paper addresses the problem of wireless backhaul in a multi-tier heterogeneous cellular network coordinated by a cloud-based central station (CCS), namely heterogeneous cloud radio access network (HCRAN). A non-orthogonal multiple access (NOMA) is adopted in the power domain for improved spectral efficiency and network throughput of the wireless downlink in the HCRAN. We first develop a power allocation for multiple cells of different tiers taking account of the practical power consumption of different cell types and wireless backhaul. By analysing the energy efficiency (EE) of the NOMA for the practical HCRAN downlink, we show that the power available at the cloud, the propagation environment and cell types have significant impacts on the EE performance. In particular, in a large network, the cells located at the cloud edge are shown to suffer from a very poor performance with a considerably degraded EE, which accordingly motivates us to propose an iteration algorithm for determining the maximal number of cells that can be supported in the HCRAN. The results reveal that a double number of cells can be covered in the urban environment compared to those in the shadowed urban environment and more than 1.5 times of the number of microcells can be deployed over the macrocells, while only a half number of cells can be supported when the distance between them increases threefol

A Deep Learning Approach to Network Intrusion Detection

Software Defined Networking (SDN) has recently emerged to become one of the promising solutions for the future Internet. With the logical centralization of controllers and a global network overview, SDN brings us a chance to strengthen our network security. However, SDN also brings us a dangerous increase in potential threats. In this paper, we apply a deep learning approach for flow-based anomaly detection in an SDN environment. We build a Deep Neural Network (DNN) model for an intrusion detection system and train the model with the NSL-KDD Dataset. In this work, we just use six basic features (that can be easily obtained in an SDN environment) taken from the forty-one features of NSL-KDD Dataset. Through experiments, we confirm that the deep learning approach shows strong potential to be used for flow-based anomaly detection in SDN environments

Blinatumomab consolidation and maintenance therapy in adults with relapsed/refractory B-precursor acute lymphoblastic leukemia

In a phase 3 clinical study of heavily pretreated adults with relapsed/refractory (R/R) acute lymphoblastic leukemia (ALL), overall survival (OS) following blinatumomab, a BiTE (bispeci\ufb01c T-cell engager) immunooncology therapy, was signi\ufb01cantly improved vs chemotherapy following induction (cycles 1 to 2). Here we report the e\ufb03cacy and safety of those who received additional cycles of blinatumomab. Blinatumomab was administered as a continuous IV infusion for 4 weeks in a 6-week cycle. Patients who achieved a bone marrow response (#5% blasts) or complete remission (full, partial, or incomplete hematological recovery) during induction could receive additional cycles of blinatumomab. OS and relapse-free survival (RFS) for consolidation (cycles 3 to 5) vs no consolidation, and maintenance (cycles $6) vs no maintenance were analyzed using Simon-Makuch and Mantel-Byar odds ratios. Of 267 patients who received blinatumomab induction, 86 (32%) entered consolidation and 36 (13%) entered maintenance. Evidence of longer OS was demonstrated among the maintenance group compared with no-maintenance (median OS [95% con\ufb01dence interval, CI]: not reached for maintenance vs 15.5 months for no maintenance). Median RFS (months; 95% CI) was numerically longer among maintenance group (14.5; 7.1 to 21.9) compared with no-maintenance (9.8; 8.5 to 11.1). A lower incidence of adverse events was seen during maintenance (72.2%) compared with induction (97.2%) and consolidation (86.1%). Adults with R/R ALL who achieved remission following blinatumomab induction had longer survival on continuation therapy than those who discontinued blinatumomab early, supporting the use of blinatumomab as long-term therapy. No new safety signals were reported. This trial was registered at www.clinicaltrials.gov as #NCT02013167

A Preliminary Report on Combined Penoscrotal and Perineal Approach for Placement of Penile Prosthesis with Corporal Fibrosis

Purpose. This paper aims at describing the combined penoscrotal and perineal approach for placement of penile prosthesis in cases of severe corporal fibrosis and scarring. Materials and methods. Three patients with extensive corporal fibrosis underwent penile prosthesis placement via combined penoscrotal and perineal approach from 1997 to 2006. Follow-up ranged from 15 to 129 months. Results. All patients underwent successful implantation of semirigid penile prosthesis. There were no short- or long-term complications. Conclusions. Results on combined penoscrotal and perineal approach to penile prosthetic surgery in this preliminary series of patients suggest that it is a safe technique and increases the chance of successful outcome in the surgical management of severe corporal fibrosis