Glial and neuronal control of brain blood flow

Blood flow in the brain is regulated by neurons and astrocytes. Knowledge of how these cells control blood flow is crucial for understanding how neural computation is powered, for interpreting functional imaging scans of brains, and for developing treatments for neurological disorders. It is now recognized that neurotransmitter-mediated signalling has a key role in regulating cerebral blood flow, that much of this control is mediated by astrocytes, that oxygen modulates blood flow regulation, and that blood flow may be controlled by capillaries as well as by arterioles. These conceptual shifts in our understanding of cerebral blood flow control have important implications for the development of new therapeutic approaches.     

Catalysis of guanine nucleotide exchange on Ran by the mitotic regulator RCC1

The product of the gene RCC1 (regulator of chromosome condensation) in a BHK cell line is involved in the control of mitotic events. Homologous genes have been found in Xenopus, Drosophila and yeast. A human genomic DNA fragment and complementary DNA that complement a temperature-sensitive mutation of RCC1 in BHK21 cells encode a protein of relative molecular mass 45,000 (Mr 45K) which is located in the nucleus and binds to chromatin. We have recently isolated a protein from HeLa cells that strongly binds an anti-RCC1 antibody and has the same molecular mass, DNA-binding properties, and amino-acid sequence as the 205 residues already identified. HeLa cell RCC1 is complexed to a protein of Mr 25K. We have shown that this 25K protein has a sequence homologous to the translated reading frame of TC4, a cDNA found by screening a human teratocarcinoma cDNA library with oligonucleotides coding for a ras consensus sequence, and that the protein binds GDP and GTP. We have referred to this protein as the Ran protein (ras-related nuclear protein). In addition to the fraction of Ran protein complexed to RCC1, a 25-fold molar excess of the protein over RCC1 was found in the nucleoplasm of HeLa cells. Here we show that RCC1 specifically catalyses the exchange of guanine nucleotides on the Ran protein but not on the protein c-Ha-ras p21 (p21ras).     

Estimation and prediction under structural instability: The case of the U.S. pulp and paper market

The objectives of this paper are: first, to show empirically the relevance of using adaptive estimation techniques over more traditional estimation approaches when economic systems are believed to be structurally unstable over time; and secondly, to compare in an empirical framework two adaptive estimation techniques: Kalman filtering and the Carbone–Longini filter. For that purpose, an econometric model for the U.S. pulp and paper market is examined under the assumption of structural instability and, hence, constitutes the basis for comparing forecasting performances and estimation accuracy achieved by each technique. A version of Kalman filtering, modified in line with the basic idea of ‘tracking’ characterizing the Carbone–Longini filter, is also presented and applied. The analysis of the results shows that it may be worth using adapative estimation methods to estimate structurally unstable models, even if there is no prior knowledge about the patterns of variation of the parameters. Also, it shows the Carbone–Longini filter and Kalman filtering as being complementary estimation techniques. An estimation/forecasting methodology involving a sequential application mode of these two techniques is suggested.     

Fuzzy Models to Deal with Sensory Data in Food Industry

IntroductionSensorydataareusedinfoodindustryforsensoryevaluationaswellasforprocesscontrol.Sensoryevaluationisusedwhenthefinalproductqualitycannotbeeasilyputinrelationtothecorrespondingmanufacturingparameters.Thisisparticularlyrelevantforfoodproducts,wherequalityfactorsperceivedbyconsumersaredifficulttorelatetochemicalorphysicalcomponentcharacteristics.Therearemanydifferentkindsofproblemsinwhichsensoryevaluationisnecessary:Newproductdevelopment,costreductionexercises,qualityimprovement,evaluat…     

Real-time quantum feedback prepares and stabilizes photon number states

Feedback loops are central to most classical control procedures. A controller compares the signal measured by a sensor (system output) with the target value or set-point. It then adjusts an actuator (system input) to stabilize the signal around the target value. Generalizing this scheme to stabilize a micro-system's quantum state relies on quantum feedback, which must overcome a fundamental difficulty: the sensor measurements cause a random back-action on the system. An optimal compromise uses weak measurements, providing partial information with minimal perturbation. The controller should include the effect of this perturbation in the computation of the actuator's operation, which brings the incrementally perturbed state closer to the target. Although some aspects of this scenario have been experimentally demonstrated for the control of quantum or classical micro-system variables, continuous feedback loop operations that permanently stabilize quantum systems around a target state have not yet been realized. Here we have implemented such a real-time stabilizing quantum feedback scheme following a method inspired by ref. 13. It prepares on demand photon number states (Fock states) of a microwave field in a superconducting cavity, and subsequently reverses the effects of decoherence-induced field quantum jumps. The sensor is a beam of atoms crossing the cavity, which repeatedly performs weak quantum non-demolition measurements of the photon number. The controller is implemented in a real-time computer commanding the actuator, which injects adjusted small classical fields into the cavity between measurements. The microwave field is a quantum oscillator usable as a quantum memory or as a quantum bus swapping information between atoms. Our experiment demonstrates that active control can generate non-classical states of this oscillator and combat their decoherence, and is a significant step towards the implementation of complex quantum information operations.     

On a General Transformation Making a Dissimilarity Matrix Euclidean

When a dissimilarity matrix cannot be represented in a Euclidean space, it is possible to make it Euclidean by means of suitable transformations of the original dissimilarity values. In this paper we discuss some interesting properties of a class of transformations based on adding a specific squared Euclidean distance to the initial dissimilarity. An erratum to this article is available at .     

Quantum jumps of light recording the birth and death of a photon in a cavity

A microscopic quantum system under continuous observation exhibits at random times sudden jumps between its states. The detection of this quantum feature requires a quantum non-demolition (QND) measurement repeated many times during the system's evolution. Whereas quantum jumps of trapped massive particles (electrons, ions or molecules) have been observed, this has proved more challenging for light quanta. Standard photodetectors absorb light and are thus unable to detect the same photon twice. It is therefore necessary to use a transparent counter that can 'see' photons without destroying them. Moreover, the light needs to be stored for durations much longer than the QND detection time. Here we report an experiment in which we fulfil these challenging conditions and observe quantum jumps in the photon number. Microwave photons are stored in a superconducting cavity for times up to half a second, and are repeatedly probed by a stream of non-absorbing atoms. An atom interferometer measures the atomic dipole phase shift induced by the non-resonant cavity field, so that the final atom state reveals directly the presence of a single photon in the cavity. Sequences of hundreds of atoms, highly correlated in the same state, are interrupted by sudden state switchings. These telegraphic signals record the birth, life and death of individual photons. Applying a similar QND procedure to mesoscopic fields with tens of photons should open new perspectives for the exploration of the quantum-to-classical boundary.