BACKGROUND A standard of care for the treatment of small renal masses is partial nephrectomy. The open and laparoscopic approaches have been well described in the literature. Robotic assistance may augment partial nephrectomy by aiding in dissection and renal reconstruction. In this communication we describe the surgical outcomes of 35 patients undergoing robotic partial nephrectomy. METHODS ...

Previous studies done by the authors have shown that analgesic abuse, RPN and analgesic nephropathy (AN) are prevalent in the Malaysian population. In a survey conducted on three different groups of population, viz., inpatients in the medical wards of General Hospital, Kuala Lumpur, the people from Kampong Pandan and two rubber estates, it was found that 0.5 2.0% of the people surveyed had cons...

We present AVOD, an Aggregate View Object Detection network for autonomous driving scenarios. The proposed neural network architecture uses LIDAR point clouds and RGB images to generate features that are shared by two subnetworks: a region proposal network (RPN) and a second stage detector network. The proposed RPN uses a novel architecture capable of performing multimodal feature fusion to gen...

We present the biologically inspired Ripple Pond Network (RPN), a simply connected spiking neural network which performs a transformation converting two dimensional images to one dimensional temporal patterns (TP) suitable for recognition by temporal coding learning and memory networks. The RPN has been developed as a hardware solution linking previously implemented neuromorphic vision and memo...

We show for the first time, to the best of our knowledge, that, in a coherent communication system that employs a phase-shift-keying signal and Raman amplification, besides the pump relative intensity noise (RIN) transfer to the amplitude, the signal's phase will also be affected by pump RIN through the pump-signal cross-phase modulation. Although the average pump power induced linear phase cha...

Failure mode and effects analysis (FMEA) is a widely used engineering technique for designing, identifying and eliminating known and/or potential failures, problems, errors and so on from system, design, process, and/or service before they reach the customer (Stamatis, 1995). In a typical FMEA, for each failure modes, three risk factors; severity (S), occurrence (O), and detectability (D) are e...

Recently, constrained Markov Bayesian polynomial (CMBP) has been proposed as a data-driven rule-based model for dialog state tracking (DST). CMBP is an approach to bridge rule-based models and statistical models. Recurrent Polynomial Network (RPN) is a recent statistical framework taking advantages of rulebased models and can achieve state-ofthe-art performance on the data corpora of DSTC-3, ou...

We have simulated the two-dimensional RP 2 and RP 3 σ-models, at correlation lengths up to about 220 (resp. 30), using a Wolff-type embedding algorithm. We see no evidence of asymptotic scaling. Indeed, the data rule out the conventional asymptotic scaling scenario at all correlation lengths less than about 109 (resp. 105). Moreover, they are consistent with a critical point at β ≈ 5.70 (resp. ...

Proses pemeriksaan akhir pada perusahaan manufakur merupakan aktivitas yang dilakukan sebelum produk akan dikirim ke customer. Perkembangan komputerisasi dalam kebutuhan saat ini untuk menjalankan salah satunya perancangan dan pengembangan sistem inspeksi digital. Failure Mode and Effects Analysis (FMEA) satu metode dapat perbaikan kinerja suatu bisnis komponen di dalamnya. FMEA melakukan anali...