BACKGROUND Optic neuritis (ON) is often associated with other clinical or serological markers of connective tissue diseases (CTDs). To date, the effects of autoantibodies on ON are not clear. PURPOSE To assess the prevalence, clinical patterns, and short outcomes of autoantibodies and Sjögren's syndrome (SS) involvement in Chinese ON patients and evaluate the relationship between ON, includin...

Short Term Load Forecasting (STLF) is a power system operating procedures that have an important role in terms of realizing the economic electric production. This research focuses on the application of hybrid PSO-ANN algorithm in STLF. Load data grouped by the type of weekdays and holidays. Consumption of electricity load in West Java Indonesia, used as input to the learning algorithm PSO-ANN. ...

A novel global hybrid algorithm for feedforward neural networks p. 9 Study on relationship between NIHSS and TCM-SSASD based on the BP neural network multiple models method p. 17 Application of back-propagation neural network to power transformer insulation diagnosis p. 26 Momentum BP neural networks in structural damage detection based on static displacements and natural frequencies p. 35 Defo...

Register allocation, i.e., the task of assigning processor registers to local variables and temporary values, is one of the most important compiler optimizations. A vast amount of research has led to algorithms ranging from simple and fast heuristics to optimal algorithms with exponential time complexity. Because the problem is known to be NP-complete [2], algorithms must balance the time neces...

A new method of the stochastic simulation algorithm (SSA), named the Hashing-Leaping method (HLM), for exact simulations of a class of Markov jump processes, is presented in this paper. The HLM has a conditional constant computational cost per event, which is independent of the number of exponential clocks in the Markov process. The main idea of the HLM is to repeatedly implement a hash-table-l...

Multi-carrier MIMO (MC-MIMO) has emerged as a promising technology to provide significant capacity gain for broadband wireless ad hoc networks. However, due to the non-convex and large-scale problem structure, little work has been done on power spectrum optimization to harvest MC-MIMO’s capacity gain for broadband ad hoc networks. Our principal goal in this work is to fill this challenging gap....

In this paper, a combined algorithm consisting of two stages of approaches is proposed for solving a Job Shop Scheduling Problem (JSSP). The first stage of approach called Semi-active Scheduling Approach (SSA) is proposed for obtaining a local optimal solution in a short time by using the improved local search algorithm and the neighborhood search technique proposed in our earlier paper. The se...

We report a 9-year-old Japanese girl who presented with muscle weakness and elevated serum levels of muscle-derived enzymes following mycoplasma infection. Rhabdomyolysis or myositis was suggested by magnetic resonance imaging and repeated four times within 4 years. Each episode developed following respiratory infection and spontaneously recovered. The diagnosis of Sjögren’s syndrome was made b...

The paper demonstrates the importance of feature selection for recurrent neural network applied to problem of one hour ahead forecasting of thermal comfort for office building heated by gas. Although the accuracy of the forecasting is similar for both the feed-forward and the recurrent network, the removal of features leads to accuracy reduction much earlier for the feed-forward network. The re...

Partial Redundancy Elimination (PRE) is an optimization that prevents, where possible, the re-computation of an expression along some paths in a program. PRE is general enough to automatically implement loop-invariant code hoisting and global common sub-expression elimination. PRE appears to be especially beneficial for functional programs, where the class of expressions that may be moved is mu...