A new fusion–evaporation model LisFus for fast calculation of fusion residue cross-sections has been developed in the framework of the code LISE. This model can calculate very small cross-sections quickly due to its compared to programs using the Monte-Carlo method. Such type of fast calculations is necessary to estimate fusion residue yields. Using this model the program LISE has now the possi...

Natural language processing (NLP) task has achieved excellent performance in many fields, including semantic understanding, automatic summarization, image recognition and so on. However, most of the neural network models for NLP extract text a fine-grained way, which is not conducive to grasp meaning from global perspective. To alleviate problem, combination traditional statistical method deep ...

This paper explores the fusion of audio and visual evidences through a multi-level hybrid fusion architecture based on dynamic Bayesian network (DBN), which combines model level and decision level fusion to achieve higher performance. In model level fusion, a new audio-visual correlative model (AVCM) based on DBN is proposed, which describes both the intercorrelations and loose timing synchroni...

Loop fusion is recognized as an effective program transformation for improving memory hierarchy performance. However, unconstrained loop fusion can lead to poor performance because of increased register pressure and cache conflict misses. The complex interaction between different levels of the memory hierarchy with the input program makes it very difficult to always make the right choice in fus...

Learning strategy (LS) fusion is our previous work in reinforcement learning (RL) framework. LS fusion fuses multiple LSs, such as transfer learning, for a single task of a robot. This paper introduces two LSs into LS fusion: an LS to learn a dynamics and a reward models, and an LS using a model-based RL method. Especially, we propose to use the MixFS dynamics model which is also our previous w...

background & importance: spinal deformity is one of the most common disorders among the vertebral diseases that results from unnatural curvatures of spine, such as scoliosis and kyphosis. spinal fusion surgery used most commonly to treat certain types of spinal deformity. here in, we report the efficacy of posterior spinal fusion accompanied by instrumentation in patients with the limitations o...

Grid computing is used to realize the connection of distributed, heterogeneous computing resources through grid, assist in accomplishing computing task. Focusing on the weakness of centralized information fusion, put forward the disturbed fusion model utilizing grid computing node to realize local decision fusion on the basis of distributing information fusion architecture, and transform the de...

In our previous article [1], we presented a simple phenomenological model for the description of production cross sections of superheavy nuclei in a wide range of excitation energies including cold, warm and hot fusion. The model assumes that the fusion hindrance, observed in cold fusion reactions where only one neutron is emitted prior to the formation of evaporation residue (ER), can be expla...

The development and regeneration of skeletal muscle require the fusion of mononucleated muscle cells to form multinucleated, contractile muscle fibers. Studies using a simple genetic model, Drosophila melanogaster, have discovered many evolutionarily conserved fusion-promoting factors in vivo. Recent work in zebrafish and mouse also identified several vertebrate-specific factors required for my...