Acceptance rate and reasons for rejection of manuscripts submitted to Veterinary Radiology & Ultrasound during 2012

Session: P2P ComputingP2P live media streaming systems have proliferated and become indispensable vehicles for Internet based entertainment applications. However, it is also well known that scalability of such systems is limited by the lack of proper incentive mechanisms. Specifically, it is notoriously hard to efficiently allocate upload bandwidth at each peer so as to maximize overall system performance. In this paper, we propose a new auction based mechanism for optimizing the allocation of upload bandwidth at each peer. One of the distinctive features in our approach is that peers use real 'goods' (i.e., their own bandwidth resources) for payments, instead of relying on some fictitious currency. Essentially, peers use a barter mechanism in the payment step in the auction. Simulation results indicate that our proposed auction approach consistently outperforms existing practical approaches (e.g., titfor-tat) in terms of average incoming stream rate, average playback delay, and control packets ratio. © 2011 IEEE.published_or_final_versionThe IEEE 17th International Conference on Parallel and Distributed Systems (ICPADS 2011), Tainan, Taiwan, 7-9 December 2011. In Proceedings of the 17th ICPADS, 2011, p. 573-58

Smoking and nasopharyngeal carcinoma mortality: a cohort study of 101823 adults in Guangzhou, China

published_or_final_versio

Effect Of Constraint On The Tensile Behavior Of An AZ91 Magnesium Alloy

The deformation and failure behaviour of a cast AZ91 alloy was investigated using circumferentially-notched tensile specimens with different notch radii. The break strength corresponding to various constraint levels were estimated. The fracture surface was observed using scanning electron microscopy (SEM). The results indicated that deformation and failure of the AZ91 magnesium alloy are very sensitive to the constraint (stress triaxiality). The fracture mechanisms change from typical ductile tearing to quasi cleavage with increasing constraint level

Structural Congruency of Ligand Binding to the Insulin and Insulin/Type 1 Insulin-like Growth Factor Hybrid Receptors

SummaryThe homodimeric insulin and type 1 insulin-like growth factor receptors (IR and IGF-1R) share a common architecture and each can bind all three ligands within the family: insulin and insulin-like growth factors I and II (IGF-I and IFG-II). The receptor monomers also assemble as heterodimers, the primary ligand-binding sites of which each comprise the first leucine-rich repeat domain (L1) of one receptor type and an α-chain C-terminal segment (αCT) of the second receptor type. We present here crystal structures of IGF-I bound to such a hybrid primary binding site and of a ligand-free version of an IR αCT peptide bound to an IR L1 plus cysteine-rich domain construct (IR310.T). These structures, refined at 3.0-Å resolution, prove congruent to respective existing structures of insulin-complexed IR310.T and the intact apo-IR ectodomain. As such, they provide key missing links in the emerging, but sparse, repertoire of structures defining the receptor family

GEAR: A GPU-Centric Experience Replay System for Large Reinforcement Learning Models

This paper introduces a distributed, GPU-centric experience replay system, GEAR, designed to perform scalable reinforcement learning (RL) with large sequence models (such as transformers). With such models, existing systems such as Reverb face considerable bottlenecks in memory, computation, and communication. GEAR, however, optimizes memory efficiency by enabling the memory resources on GPU servers (including host memory and device memory) to manage trajectory data. Furthermore, it facilitates decentralized GPU devices to expedite various trajectory selection strategies, circumventing computational bottlenecks. GEAR is equipped with GPU kernels capable of collecting trajectories using zero-copy access to host memory, along with remote-directed-memory access over InfiniBand, improving communication efficiency. Cluster experiments have shown that GEAR can achieve performance levels up to 6× greater than Reverb when training state-of-the-art large RL models. GEAR is open-sourced at https://github.com/bigrl-team/gear

Review on efficiency and anomalies in stock markets

The efficient-market hypothesis (EMH) is one of the most important economic and financial hypotheses that have been tested over the past century. Due to many abnormal phenomena and conflicting evidence, otherwise known as anomalies against EMH, some academics have questioned whether EMH is valid, and pointed out that the financial literature has substantial evidence of anomalies, so that many theories have been developed to explain some anomalies. To address the issue, this paper reviews the theory and literature on market efficiency and market anomalies. We give a brief review on market efficiency and clearly define the concept of market efficiency and the EMH. We discuss some efforts that challenge the EMH. We review different market anomalies and different theories of Behavioral Finance that could be used to explain such market anomalies. This review is useful to academics for developing cutting-edge treatments of financial theory that EMH, anomalies, and Behavioral Finance underlie. The review is also beneficial to investors for making choices of investment products and strategies that suit their risk preferences and behavioral traits predicted

Thermal-Shock Resistance and Fracture-Strength Behavior of Two Tool Carbides

Peer Reviewedhttp://deepblue.lib.umich.edu/bitstream/2027.42/66260/1/j.1151-2916.1976.tb09415.x.pd