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cautiously affirms history as real, in three stages: we begin, 1) by briefly
reviewing the historical swings between the objective view of history and the
relative view of history, followed by, 2) our careful inquiry into how history
is composed by “I”, “here”, and “now” spontaneously spreading in time, and
finally, 3) in the light of this consideration we argue for our cautious answer, “history is real”, as 4), we define “caution”
This article investigates the relationships between heart valve closure timing intervals and left ventricular systolic blood pressure (LVSBP). For this investigation, the cardiopulmonary system is modeled as an analog circuit, including heart chambers, the distal and proximal aorta, distal and proximal systemic arteries/veins, systemic capillaries, the vena cava, the distal and proximal pulmonary artery, distal and proximal pulmonary arteries/veins, pulmonary capillaries and physiological control of heart rate and cardiac contractibility. In this model, the ventricles, atria and arteries were modeled as advanced pressur-volume relationships. A vagal-sympathetic mechanism was adopted to simulate transient systemic and pulmonary blood pressure. Four intervals, i.e., the timing interval between mitral and aortic valve closure (TIMA), the timing interval between aortic and mitral valve closure (TIAM), the timing interval be- tween aortic and pulmonary valve closure (TIAP) and the timing interval between mitral and tricuspid valve closure (TIMT), are further defined in a heart cycle to illustrate their relationships to LVSBP. Simula- tions showed that the TIMA, TIAM and TIAP have strong negative correlations with LVSBP; meanwhile, the TIMT has a slightly negative relationship with LVSBP. To further validate the relationships, 6 healthy male subjects were experimentally evaluated. The intervals were extracted from non-invasively sampled heart sound signals taken from the surface of the thorax. The experiments showed relationships consistent with those obtained by simulations. These relationships may have potential applications for noninvasively accessing LVSBP in real-time with a high time resolution of one heartbeat.
Similarity measurement is one of key operations to retrieve “desired” images from an image database. As a famous psychological similarity measure approach, the Feature Contrast (FC) model is defined as a linear combination of both common and distinct features. In this paper, an adaptive feature contrast (AdaFC) model is proposed to measure similarity between satellite images for image retrieval. In the AdaFC, an adaptive function is used to model a variable role of distinct features in the similarity measurement. Specifically, given some distinct features in a satellite image, e.g., a COAST image, they might play a significant role when the image is compared with an image including different semantics, e.g., a SEA image, and might be trivial when it is compared with a third image including same semantics, e.g., another COAST image. Experimental results on satellite images show that the proposed model can consistently improve similarity retrieval effectiveness of satellite images including multiple geo-objects, for example COAST images.
The characteristics of nodes moving
arbitrarily and the network topology changing frequently lead to AODV routing protocol,
which uses minimum hop-count
as the metric for route selection, facing intermittent connectivity frequently
which would cause QoS of network degradation in Ad Hoc Network. In this paper,
we integrate three cross layer infor-mation which consists of the
remaining energy of nodes, the remaining queue length and the hop-count from
source node to destination node. Then we present the GRA-AODV routing protocol
based on the gray relevance algorithm. By comparing the simulation and
experimental results, in the case of slightly increase in routing overhead, the
improved Gray Relevance Algorithm-AODV routing possesses lower average end to
end delay and lower packet loss rate, and it has superior robustness in the
mobile Ad Hoc Network with network topology changing frequently.