The theoretical calculations for near-field radiation heat transfer based on a local dielectric constant approach indicate that the heat transfer will go to infinity as the gap becomes very small. To correct this anomaly, it has been proposed that the heat transfer through very small gaps will saturate due to the influence of nonlocal effects on the dielectric constant. Previous experiments usi...

Splanchnic organs are particularly vulnerable to hypoperfusion. Currently, there is no technique that allows for the continuous estimation of splanchnic blood oxygen saturation (SpO(2)). As a preliminary to developing a suitable splanchnic SpO(2) sensor, a new reflectance fiber optic photoplethysmographic (PPG) sensor and processing system are developed. An experimental procedure to examine the...

We explore charge migration in DNA, advancing two distinct mechanisms of charge separation in a donor (d)-bridge ([Bj])-acceptor (a) system, where [Bj] = B1,B2, . , BN are the N-specific adjacent bases of B-DNA: (i) two-center unistep superexchange induced charge transfer, d*[Bj]a --> d[Bj]a+/-, and (ii) multistep charge transport involves charge injection from d* (or d+) to [Bj], charge hoppin...

We obtain the distance of closest approach of the surfaces of two arbitrary ellipsoids valid at any orientation and separation measured along their intercenter vector. This directional distance is derived from the elliptic contact function. The geometric meaning behind this approach is clarified. An elliptic pair potential for modeling arbitrary mixtures of elliptic particles, whether hard or s...

In this report, we study information propagation via inter-vehicle communication along two parallel roads. By identifying an inherent Bernoulli process, we are able to derive the mean and variance of propagation distance. A road separation distance of times the transmission range distinguishes two cases for approximating the success probability in the Bernoulli process. In addition, our results...

Separating audio mixtures into individual tracks has been a long standing challenging task. We introduce a novel unsupervised audio source separation approach based on deep adversarial learning. Specifically, our loss function adopts the Wasserstein distance which directly measures the distribution distance between the separated sources and the real sources for each individual source. Moreover,...

A precise positioning of transmitting nodes enhances the performance of Cognitive Radio (CR), by enabling more efficient dynamic allocation of channels and transmit powers for unlicensed users. Most localization techniques rely on random positioning of sensor nodes where, few sensor nodes may have a small separation between adjacent nodes. Closely spaced nodes introduces correlated observations...

The industrial state of the art prescribes a physical separation of robotic manipulators and human workers by means of safety barriers, in order to prevent risks of collisions. This separation has a clear negative influence on the widespread use of robotic technology in shopfloors. On the other hand, the removal of protective barriers gives rise to safety issues, that can be addressed with a co...

A three-dimensional (3D) resolution measure for the conventional optical microscope is introduced which overcomes the drawbacks of the classical 3D (axial) resolution limit. Formulated within the context of a parameter estimation problem and based on the Cramer-Rao lower bound, this 3D resolution measure indicates the accuracy with which a given distance between two objects in 3D space can be d...

For a certain class of distributions, we prove that the linear programming relaxation of kmedoids clustering—a variant of k-means clustering where means are replaced by exemplars from within the dataset—distinguishes points drawn from nonoverlapping balls with high probability once the number of points drawn and the separation distance between any two balls are sufficiently large. Our results h...