Adaptation is a fundamental computational motif in neural processing. To maintain stable perception in the face of rapidly shifting input, neural systems must extract relevant information from background fluctuations under many different contexts. Many neural systems are able to adjust their input-output properties such that an input's ability to trigger a response depends on the size of that i...

Complex networks are now the joint focus of many branches of research. Particularly, the scale-free property of some networks attracts continuous interests, due to their importance and pervasiveness. In short, this property means that the degree distribution of a network obeys a power law P (k) ∝ k , where k is the degree and P (k) is the corresponding probability density, and the scaling expon...

Gil Kalai introduced the shifting-theoretic upper bound relation to characterize the f -vectors of Gorenstein* complexes (or homology spheres) by using algebraic shifting. In the present paper, we study the shifting-theoretic upper bound relation. First, we will study the relation between exterior algebraic shifting and combinatorial shifting. Second, by using the relation above, we will prove ...

the changing demands on the health sectors in low- and middle-income countries especially sub-saharan african countries continue to challenge efforts to address critical shortages of the health workforce. addressing these challenges have led to the evolution of “non-physician clinicians” (npcs), that assume some physician roles and thus mitigate the continuing shortage of doctors in these count...

Prior research has found that exposure to news frames can cause emotional responses to political issues. Yet, little is known about how different combinations of news frames and issues relate to discrete emotions and whether these emotions, in turn, affect issue perceptions. The present study investigates these questions by testing whether (a) the effects of news articles, featuring highly vers...