Considering the differences in the social and ecological requirements of the different participants, the cohesive movement of animal groups is an amazing phenomenon. Associations composed of many species, each with its own intraspecific social organization and species-specific requirements, seem even more improbable. Yet mixed-species fish schools (Ehrlich and Ehrlich 1973; Alevizon 1976), ungi...

Closed-form solutions were developed to optimize kinematics design of a 2-degree-of-freedom (2DOF) planar parallel manipulator. The optimum design based on the workspace was presented. Meanwhile, a global, comprehensive conditioning index was introduced to evaluate the kinematic designs. The optimal parallel manipulator is incorporated into a 5-DOF hybrid machine tool which includes a 2-DOF rot...

BACKGROUND Assessing the clinical effectiveness of measuring grip strength as a prognostic tool in recovering ambulation in bed-confined frail elderly patients. METHODS A prospective study was carried out with 50 elderly inpatients (mean age: 81.6 years old). Manual muscle test was used for checking strength of hip flexor muscles, hip abductor muscles and knee extensor muscles. Grip strength ...

Many birds fly at high altitude, either during long-distance flights or by virtue of residence in high-elevation habitats. Among the many environmental features that vary systematically with altitude, five have significant consequences for avian flight performance: ambient wind speeds, air temperature, humidity, oxygen availability, and air density. During migratory flights, birds select flight...

Institutional robotics (IR) is an approach to the coordination of multirobot systems that draws inspiration from social sciences, namely from institutional economics. Using the concept of institution, it aims to provide a comprehensive strategy for specifying social interactions (e.g., norms, roles, hierarchies) among robots. In previous work, we have introduced a control methodology for multir...

  Fuzzy time series have been developed during the last decade to improve the forecast accuracy. Many algorithms have been applied in this approach of forecasting such as high order time invariant fuzzy time series. In this paper, we present a hybrid algorithm to deal with the forecasting problem based on time variant fuzzy time series and particle swarm optimization algorithm, as a highly effi...