A tree similarity algorithm for match-making of agents in e-Business environments is presented. Product/service descriptions of seller and buyer agents are represented as node-labelled, arc-labelled, arc-weighted trees. A similarity algorithm for such trees is developed as the basis for semantic match-making in a virtual marketplace. The trees are exchanged using an XML serialization in Object-Oriented RuleML. Correspondingly, we use the declarative language Relfun to implement the similarity algorithm as a parameterised, recursive functional program. Three main recursive functions perform a top-down traversal of trees and the bottom-up computation of similarity. Results from our experiments aiming to match buyers and sellers are found to be effective and promising for eBusiness/e-Learning environments. The algorithm can be applied in all environments where weighted trees are used.

In this paper, we present a powered bionic knee exoskeleton aiming at physical assistance and rehabilitation. The mechanical structure of the knee exoskeleton is based on anthropomorphic design, the tibia rolling or sliding on the femur during joint movements. In addition, a proxy-based sliding mode controller is used to improve the safety of the wearable device. Preliminary experimental results on trajectory tracking and dynamic response verify the feasibility of the proposed knee exoskeleton.978-1-4799-7800-7/15/$31.00 ©2015 IEEE

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This paper proposed a novel identification method for voltage sags (dips) based on Hilbert-Huang transform (HHT). Different voltage sag has distinct characters of fault time, threephase amplitude and harmonics. And HHT is an excellent timefrequency representation and very suitable for feature extraction of voltage sags. The time-frequency absolute values of the instantaneous frequency differential curves can detect fault time correctly. The time-Instantaneous frequency curves are applied to detect the mutation point of the instantaneous frequency and reflect the phase angle shifts. Simulation results show that the proposed method can classify voltage dips caused by the line short circuit faults, the motor induction startup and transformer energizing concisely and correctly. Keywords-Hilbert-Huang transform ； power quality; voltage sags (dips)；identificationI.

Background: We systematically evaluated the evidences on oncological and functional outcomes of high-intensity focused ultrasound (HIFU) as the primary treatment for localized prostate cancer (PCa). Methods: A systematic review was used Medline, Embase, and the Cochrane Library from the inception of each database. The review analyzed the oncological and functional outcomes of HIFU in the treatment of PCa. The RevMan 5.3 software was used for quantity analysis incidence of complications. Results: Twenty-seven articles were included for analysis with a total of 7393 patients. Eighteen studies investigated the whole-gland HIFU, and the duration of follow-up ranged from 2 to 168 months. After whole-gland HIFU, the mean prostate-specific antigen (PSA) nadir was found to be 0.4 to 1.95 ng/mL and the mean time to PSA nadir was 2.4 to 5.4 months. The rate of positive biopsy after HIFU was 4.5% to 91.1%. Meta-analysis revealed the incidences of urinary incontinence, impotence, urinary obstruction, retention, and infection was 10%, 44%, 15%, 11%, 7%, respectively. Nine studies investigated partial-gland HIFU, and the duration of follow-up was 1 to 131 months. After partial-gland HIFU, the mean PSA nadir was 1.9 to 2.7 ng/mL and the mean time to PSA nadir 5.7 to 7.3 months. The rate of positive biopsy after HIFU in the treatment area was 14% to 37.5%. Meta-analysis revealed the incidences of urinary incontinence, impotence, urinary obstruction, retention, and infection was 2%, 21%, 2%, 9%, 11%, respectively. Conclusions: Early evidence suggested the partial-gland HIFU was safer than whole-gland HIFU, and they had similar oncological outcomes. More prospective randomized controlled trials of whole-gland and partial-gland HIFU for PCa was needed.

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