This paper introduces cointegrating mixed data sampling (CoMiDaS) regressions, generalizing nonlinear MiDaS regressions in the extant literature. Under a linear mixed-frequency data-generating process, MiDaS regressions provide a parsimoniously parameterized nonlinear alternative when the linear forecasting model is over-parameterized and may be infeasible. In spite of potential correlation of ...

The dynein-related AAA ATPase Rea1 is a preribosomal factor that triggers an unknown maturation step in 60S subunit biogenesis. Using electron microscopy, we show that Rea1's motor domain is docked to the pre-60S particle and its tail-like structure, harboring a metal ion-dependent adhesion site (MIDAS), protrudes from the preribosome. Typically, integrins utilize a MIDAS to bind extracellular ...

As-Living-Thing that includes 12 extended metaphors. However, no taxonomies are given for the other very general core metaphors used in MIDAS, which are LocationMetaphor, At-State, Have-State, Container-Metaphor, Kill-Metaphor, and EatingMetaphor. Moreover, there is little discussion of the relationship between these core metaphors. The third question is: is there some way to reduce the enormou...

Colonization of novel habitats is typically challenging to organisms. In the initial stage after colonization, approximation to fitness optima in the new environment can occur by selection acting on standing genetic variation, modification of developmental patterns or phenotypic plasticity. Midas cichlids have recently colonized crater Lake Apoyo from great Lake Nicaragua. The photic environmen...

The Asp of the RGD motif of the ligand coordinates with the β I domain metal ion dependent adhesion site (MIDAS) divalent cation, emphasizing the importance of the MIDAS in ligand binding. There appears to be two distinct groups of integrins that differ in their ligand binding affinity and adhesion ability. These differences may be due to a specific residue associated with the MIDAS, particular...

This paper describes work carried out in the ESPRIT "MIDAS" project to provide for secure management in the context of the ISO standards for network and system management. The intention of the MIDAS work is to make use of security mechanisms which have already been standardised (for example X.509 authentication) and to make these available through a conventional implementation of the CMIP proto...

The MIDAS (Multi-Instrument Data Analysis System) algorithm performs a 4dimensional mathematical inversion. It is designed to assimilate a number of different measurement techniques, thus allowing the spatial and temporal factors to be accounted for in the inversion. In this study ionospheric data have been collected together from a number of observations in Europe. The MIDAS program incorporat...

We present Midas, an economical FPGA-based architecture simulator that allows rapid early design-space exploration of manycore systems. Midas models target-system timing and functionality separately, and it employs hostmultithreading for an efficient FPGA implementation. It is a high-throughput, cycle-accurate full-system simulator, capable of booting real operating systems. The Midas prototype...

A MIDAS regression involves a dependent variable observed at a low frequency and independent variables observed at a higher frequency. This paper relates a true high frequency data generating process, where also the dependent variable is observed (hypothetically) at the high frequency, with a MIDAS regression. It is shown that a correctly specified MIDAS regression usually includes lagged depen...

This paper compares the mixed-data sampling (MIDAS) and mixed-frequency VAR (MFVAR) approaches to model speci…cation in the presence of mixed-frequency data, e.g., monthly and quarterly series. MIDAS leads to parsimonious models based on exponential lag polynomials for the coe¢ cients, whereas MF-VAR does not restrict the dynamics and therefore can su¤er from the curse of dimensionality. But if...