The deviance information criterion (DIC) is widely used for Bayesian model comparison, despite the lack of a clear theoretical foundation. DIC is shown to be an approximation to a penalized loss function based on the deviance, with a penalty derived from a cross-validation argument. This approximation is valid only when the effective number of parameters in the model is much smaller than the nu...

A previously untreated 25-year-old female graduate student with masochistic traits but no axis I or II disorder entered twice-weekly psychodynamic psychotherapy with a stated goal of ending an abusive romantic relationship with a colleague. In the early months, sessions were filled with the patient’s childhood memories of emotional mistreatment by her parents, whose constant fighting left her f...

Stochastic loss networks are often a very effective model for studying the random dynamics of systems requiring simultaneous resource possession. Given a stochastic network and a multi-class customer workload, the classical Erlang model renders the stationary probability that a customer will be lost due to insufficient capacity for at least one required resource type. Recently a novel family of...

A steady-state model, based on a combination of empirical and mechanistic relationships, is developed to predict respiratory water loss from terrestrial vertebrates. Model parameters are evaluated from published data for the banner-tail kangaroo rat (Dipodomys spectabilis). A threedimensional representation of model behavior is presented, emphasizing the interaction of organismal and environmen...

post cardiac surgery ophthalmic complications are uncommon, and sudden visual loss is one of the most important ophthalmic problems in these patients. we report a 54-year-old woman that suffered transient sudden bilateral visual loss seven days after orthotopic heart transplantation. in ophthalmologic examination positive findings were bilateral normal size pupils without direct and indirect pu...

As an effective way of metric learning, triplet loss has been widely used in many deep learning tasks, including face recognition and person-ReID, leading to many states of the arts. The main innovation of triplet loss is using feature map to replace softmax in the classification task. Inspired by this concept, we propose here a new adversarial modeling method by substituting the classification...

Estimation of coherent and incoherent radio frequency (RF) signal attenuation through foliage is of great importance for a number of radar and communication problems. At UHF band and higher frequencies foliage presents a complex environment for electromagnetic waves in terms of scattering and wave propagation. For most applications, dealing with complex foliage models that account for single an...

the modeling can provide a quantitative approach and consistency in the estimationsoil erosion and sediment yield by a wide range of conditions. in this study, the integration method of revised universal soil loss equation model, geographic information system and remote sensing techniques were used in order to identify the spatial distribution of soil erosion and sediment yield in the talar wat...