Narrow Results

I use a stochastic model to explore the dynamics of poverty in India from 1952 to 2006 and find that temporal transitions into and out of poverty are common. Model outcomes suggest that transitions out of poverty outnumber transitions into poverty in recent times, but that there is still a nontrivial proportion of individuals transitioning annually into poverty, highlighting the economic fragility of those near the poverty line. There is also a marked persistence of poverty over time, and although this has been slowly declining, past poverty remains a good predictor of current poverty. Particularly concerning in this context are the income trajectories of those in the bottom decile of the income distribution for whom escape from poverty appears infeasible given extant income dynamics. Finally, the dynamics suggest that transitional and persistent poverty are distinct phenomena that require distinct policy responses involving both missing markets and state action.

Cable-driven parallel robots (CDPR) have been well used in the rehabilitation field. However, the cables can provide the tension in a single direction, there is a pseudo-drag phenomenon of the cables in the CDPR, which will have a great impact on the safety of patients. Therefore, the novelty of this work is that a bionic muscle cable is used to replace the ordinary cable in the CDPR, which can solve the pseudo-drag phenomenon of the cables in the CDPR and improve the safety performance of the rehabilitation robot. The cable-driven lower limb rehabilitation robot with bionic muscle cables is called as the bionic muscle cable-driven lower limb rehabilitation robot (BMCDLR). The motion planning of the rigid branch chain of the BMCDLR is studied, and the dynamics and system stiffness of the BMCDLR are analyzed based on the man–machine model in this paper. The influence of the parameters of the elastic elements in the bionic muscle cables on the mechanical characteristics of the BMCDLR system was analyzed by using simulation experiments. The research results can provide a reference basis for research on the safety evaluation and control methods of the BMCDLR system.

To better assist speed skaters in scientific training, a human skeleton model was constructed from the perspectives of human mechanics and biomechanics. Based on the correspondence between the human skeletal model and the multi-body rigid body theory, the variation laws of angle and angular acceleration between human skeletal joints were deduced, and a dynamic model was constructed. An experimental study was conducted on the angle and angular acceleration changes of the lower limb joints of athletes during the speed skating process, with a period of 1 second. The experimental results showed that the left hip joint angle reached its maximum peak first, the left knee joint and left ankle joint lagged relatively, and the angle changes of the right knee joint were more severe; the angular acceleration of the left and right knee joints varies dramatically, causing significant impact on the athlete’s knee joints. The research results of this article have important value for the scientific training of speed skaters.

Optical coherence tomography angiography (OCTA) has emerged as an advanced in vivo imaging modality, which is widely used for the clinic ophthalmology and neuroscience research in the rodent brain cortex among others. Based on the high numerical aperture (NA) probing lens and the motion-corrected algorithms, a high-resolution imaging technique called OCT micro-angiography is applied to resolve the small blood capillary vessels ranging from 5$\mu$m to 10$\mu$m in diameter. As OCT-based techniques are recently evolving further from the structural imaging of capillaries toward spatio-temporal dynamic imaging of blood flow in capillaries, here we present a review on the latest techniques for the dynamic flow imaging. Studies on capillary blood flow using these techniques will help us better understand the roles of capillary blood flow for normal functioning of the brain as well as how it malfunctions in diseases.

In this research we introduce a new class of quadratic stochastic operators called ξ^s-QSO which are defined through coefficient of the operator from measure-theoretic (namely we are looking the coefficient as the measures which are absolute continuous or singular) point of view. We also study the limiting behaviour of ξ^s -QSO defined on 2D-simplex. We first describe ξ^s -QSO on 2D-simplex and classify them with respect to the conjugacy and renumeration of the coordinates. We find six non-isomorphic classes of such operators. Moreover, we investigate the behaviour of each operator from three classes and prove convergence of trajectories of these classes and study their certain properties. We showed trajectories of two classes converge to the equilibrium. For the third class, it is established only the negative trajectories converge to the equilibrium.

Yuan Tseh Lee was instrumental in the development and construction of an apparatus that utilized crossed molecular beams, presenting a break-through technique that allowed for the understanding of the dynamics of elementary chemical reactions. This was done by following the trajectories of reactants and reaction products in single collision events, allowing the visualization of the dynamics of how chemical reactions take place. This article also highlights Prof. Lee’s belief in the severity of the consequences of global warming and his concerns relating to the need to substantially reduce carbon emissions.

Planetary ephemerides are a good tool for studying general relativity at the scale of our solar system. We present here new evaluations of advances of perihelia for Mercury and Saturn.