13,339 research outputs found
Fusion of neurohypophyseal membranes in vitro
Freeze cleaving electron microscopy has shown that fusion of isolated secretory vesicles from bovine neurohypophyses was induced by Ca
2+ in micromolar concentrations. Mg
2+ and Sr
2+ were ineffective. Mg
2+ inhibited Ca
2+-induced fusion.
In suspensions containing secretory vesicles as well as sheets of cell membrane, release of vasopressin parallel to intervesicular fusion of secretory vesicles with sheets of cell membrane was observed after exposure to Ca
2+. Mg
2+ and Sr
2+ were ineffective in replacing Ca
2+ as trigger for fusion or vasopressin release.
Intervesicular fusion and exocytotic profiles were observed when isolated neurohypophyses or neurosecretosome were exposed to cold
Generation of High-Energy Photons with Large Orbital Angular Momentum by Compton Backscattering
Usually, photons are described by plane waves with a definite 4-momentum. In
addition to plane-wave photons, "twisted photons" have recently entered the
field of modern laser optics; these are coherent superpositions of plane waves
with a defined projection hbar*m of the orbital angular momentum onto the
propagation axis, where m is integer. In this paper, we show that it is
possible to produce high-energy twisted photons by Compton backscattering of
twisted laser photons off ultra-relativistic electrons. Such photons may be of
interest for experiments related to the excitation and disintegration of atoms
and nuclei, and for studying the photo-effect and pair production off nuclei in
previously unexplored experimental regimes.Comment: 4 pages; RevTe
Ca2+-induced fusion of Golgi-derived secretory vesicles isolated from rat liver
During the transport of plasma proteins from the
cytoplasma of hepatocytes to the extracellular fluid
srnall vesicles may act as shuttles between the Golgi
complex and the plasma membrane. This type of
intracellular transfer is weil established for various
secretory cells and may be adopted also for the
hepatocyte. Recent investigations have shown that
secretory vesicles fuse with each other during
secretion in mast cells [4] exocrine [5,6] and
endocrine pancreatic tissue [7]. The intervesicular
fusion provides a tool for studies on membrane fusion,
since Golgi-derived vesicles can be isolated from the
hepatocyte and their interaction with various agents,
suggested to trigger membrane fusion, can be
monitored by freeze-cleaving
Neural networks in geophysical applications
Neural networks are increasingly popular in geophysics.
Because they are universal approximators, these
tools can approximate any continuous function with an
arbitrary precision. Hence, they may yield important
contributions to finding solutions to a variety of geophysical applications.
However, knowledge of many methods and techniques
recently developed to increase the performance
and to facilitate the use of neural networks does not seem
to be widespread in the geophysical community. Therefore,
the power of these tools has not yet been explored to
their full extent. In this paper, techniques are described
for faster training, better overall performance, i.e., generalization,and the automatic estimation of network size
and architecture
Learning Robot Control using a Hierarchical SOM-based Encoding
Hierarchical representations and modeling of sensorimotor observations is a fundamental approach for the development of scalable robot control strategies. Previously, we introduced the novel Hierarchical Self-Organizing Map-based Encoding algorithm (HSOME) that is based on a computational model of infant cognition. Each layer is a temporally augmented SOM and every node updates a decaying activation value. The bottom level encodes sensori-motor instances while their temporal associations are hierarchically built on the layers above. In the past, HSOME has shown to support hierarchical encoding of sequential sensor-actuator observations both in abstract domains and real humanoid robots. Two novel features are presented here starting with the novel skill acquisition in the complex domain of learning a double tap tactile gesture between two humanoid robots. During reproduction, the robot can either perform a double tap or prioritize to receive a higher reward by performing a single tap instead. Secondly, HSOME has been extended to recall past observations and reproduce rhythmic patterns in the absence of input relevant to the joints by priming initially the reproduction of specific skills with an input. We also demonstrate in simulation how a complex behavior emerges from the automatic reuse of distinct oscillatory swimming demonstrations of a robotic salamander
- …