S OF CURRENT LITERATURE 66 DIGEST OF MAJOR ACTIVITIES OF THE ARTIFICIAL LIMB PROGRAM 68 P R O S T H E T I C S R E S E A R C H B O A R D NATIONAL ACADEMY OF SCIENCES—NATIONAL RESEARCH COUNCIL 2101 Constitution Ave. Washington 25, D. C. Artificial Limbs is a publication of the Prosthetics Research Board, National Academy of Sciences—National Research Council, issued twice a year, in the spring an...

The future is for sustainable energy (SE) sources [1, 2]. However, to utilize SE sources efficiently one needs to integrate them into the AC Power-Grid. To do so, interface electronic circuits are needed to connect SE sources to local loads or directly to the utility grid. These interfaces are known as the SE-Grid inverters. SE-Grid inverters convert direct current (DC) to alternating current (...

The paper presents two applications of the JGrass-NewAge model in order to investigate the influence of an explicit channel routing model on the discharge simulation. The semidistributed, component based hydrological model JGrass-NewAge is based on the Object Modeling System version 3.0 (OMS3). OMS3, which facilitates exchange of model components, was used to set up two different model configur...

Background This integrated analysis examines long-term incidence rates (IRs) of malignancies in adults with psoriasis (PsO), psoriatic arthritis (PsA), or axial spondyloarthritis (axSpA) who received ≥1 dose ixekizumab (IXE) up to 5 years (PsO) 3 (PsA, axSpA) clinical trials. Objectives: Methods IRs were assessed across 25 randomized IXE trials (17 PsO, 4 PsA, axSpA). Malignancy analyzed for po...

Feature selection is an optimization problem in machine learning, which reduces the number of features, removes irrelevant, noisy and redundant data, and results in acceptable recognition accuracy. Feature selection is of great importance in pattern classification, medical data processing, machine learning, and data mining applications. In this paper, continuous particle swarm optimization (PSO...

Fiber tracking is winning more and more interest in the neuroscience research field and clinical practice, for its ability in revealing the structural connectivity; the quality of the fiber tracking depends in great extent, on fiber directions extraction The PSO algorithm could give good approximation of these directions. I. MATERIALS AND METHODS The diffusion tensor MRI (DTI) was introduced by...

environments where the genotypes are tested. Presence of GEI rules out simple interpretative models that have The additive main effects and multiplicative interaction (AMMI) only additive main effects of genotypes and environmodel has been proposed for the analysis of genotype–environmental ments (Mandel 1971; Crossa, 1990; Kang and Magari, data. For plant breeding, the recovery of pattern migh...

This study assesses the stock return performance of 131 firms emerging from Chapter 11. Using differing estimates of expected returns, we consistently find evidence of large, positive excess returns in 200 days of returns following emergence. We also examine the reaction of our sample firms’ equity returns to their earnings announcements after emergence from Chapter 11. The positive and signifi...

to selection for yield has increased through Cycle 11, while genetic variance within populations showed a The genetic structures of the Iowa Corn Borer Synthetic #1 (CB) nonsignificant decrease. and Iowa Stiff Stalk Synthetic (SS) maize (Zea mays L.) populations are important because these populations serve as the model for develLabate et al. (1997) evaluated several measures of opment of moder...

Particle Swarm Optimization (PSO) is one of the most effective metaheuristics algorithms, with many successful real-world applications. The reason for the success of PSO is the movement behavior, which allows the swarm to effectively explore the search space. Unfortunately, the original PSO algorithm is only suitable for single objective optimization problems. In this paper, three movement stra...