Slow growth rate of the cyst makes its incidence increase with aging. Here we report on a seven year old girl who presented with central diabetes insipidus (CDI). Her sella MRI revealed a lesion in the sellar region which grew rapidly in follow-up. She underwent microneurosurgical operation and the lesion was totally excised. Pathologic examination revealed RCC with degenerative changes. In her follow-up, growth hormone deficiency developed in addition to arginine vasopressin deficiency. Rapid growth of the cyst is not the usual course of RCC’s. Mechanisms
regarding the cyst growth are unclear as they are in this case. This is the youngest child to date presenting with central diabetes JNJ-26481585 research buy insipidus due to RCC. Rapid growth of RCC can cause CDI in young children.”
“Polyurethane (PU) nanocomposites were prepared from hectorite (HEC) and laponite without adding any organic modifier. PU-montmorillonite nanocomposites were prepared for comparison. The
structure of the composites were investigated by transmission electron microscopy, X-ray diffraction spectroscopy, and Fourier transform infrared spectroscopy. Thermal gravimetric analysis and dynamic mechanic analysis were used for determination of the thermal and viscoelastic behaviors, respectively. Tensile tests were conducted for characterization of the mechanical properties. The results showed a 113.5% increase in the tensile strength of PU containing 7 wt % HEC compared to that of neat PU. (C) 2009 Wiley Periodicals, click here Inc. J Appl Polym Sci 116: 832-837, 2010″
“Sensory processing is associated with gamma frequency oscillations (30-80 Hz) in sensory cortices. This raises the question whether gamma oscillations can be directly involved in the representation of time-varying stimuli, including stimuli whose time scale is longer than a gamma cycle. We are interested in the ability of the system to reliably distinguish different stimuli while being robust to stimulus variations such as uniform time-warp. We address this issue with a dynamical model of spiking check details neurons and
study the response to an asymmetric sawtooth input current over a range of shape parameters. These parameters describe how fast the input current rises and falls in time. Our network consists of inhibitory and excitatory populations that are sufficient for generating oscillations in the gamma range. The oscillations period is about one-third of the stimulus duration. Embedded in this network is a subpopulation of excitatory cells that respond to the sawtooth stimulus and a subpopulation of cells that respond to an onset cue. The intrinsic gamma oscillations generate a temporally sparse code for the external stimuli. In this code, an excitatory cell may fire a single spike during a gamma cycle, depending on its tuning properties and on the temporal structure of the specific input; the identity of the stimulus is coded by the list of excitatory cells that fire during each cycle.