Abstract: A sealable connection system is provided. The system can include a connection assembly including a housing and at least one ferrule positioned within the housing. An inner surface of the housing can be arranged to mate with and secure to an outer surface of a sensor assembly. The at least one ferrule can be arranged to engage with the sensor assembly as the housing is secured to the sensor assembly. The system can also include a fiber optic cable assembly. The fiber optic cable assembly can include a fiber optic cable extending through the housing and the at least one ferrule. The fiber optic cable can also be surrounded, at least along a length of the fiber optic cable within the connection assembly, by a fiber optic cable cover. The sealable connection system is provided to hermetically connect the fiber optic cable assembly to a sensor assembly.

Abstract: A method of forming an implant having a porous tissue ingrowth structure and a bearing support structure. The method includes depositing a first layer of a metal powder onto a substrate, scanning a laser beam over the powder so as to sinter the metal powder at predetermined locations, depositing at least one layer of the metal powder onto the first layer and repeating the scanning of the laser beam.

Abstract: The present invention relates to materials and methods for stratifying and treating cancers and to methods of identifying/selecting patients for treatment of cancer with tyrosine kinase inhibitors. Gene expression profiles, TP53 mutations and FGFR1 and PDGFRA expression are used to identify/select/stratify the cancers and patients.

Abstract: A framing apparatus for framing an object is disclosed. The framing apparatus includes a foam frame body defining an aperture and having a frictional contact surface surrounding at least some of the aperture for frictionally engaging at least some of a peripheral surface of the object. Methods and kits are also disclosed.

Abstract: A compact, readily portable stylus and writing apparatus for operating any device requiring contact for inputting commands such as touch screens, small buttons, and the like. The apparatus includes a conductive body, a conductive contactor, and a retractable writing instrument. The conductive contactor is positioned to easily contact a touch screen or small buttons when the apparatus is in a stowed configuration. When the apparatus is in a stowed configuration, the apparatus can be conveniently carried in the user's wallet, pocket, or purse. When the apparatus is in its deployed configuration, user can use the retractable writing instrument apparatus for writing.

Abstract: One non-limiting embodiment of an apparatus for forming an alloy powder or preform includes a melting assembly, an atomizing assembly, and a field generating assembly, and a collector. The melting assembly produces at least one of a stream of a molten alloy and a series of droplets of a molten alloy, and may be substantially free from ceramic in regions contacted by the molten alloy. The atomizing assembly generates electrons and impinges the electrons on molten alloy from the melting assembly, thereby producing molten alloy particles. The field generating assembly produces at least one of an electrostatic field and an electromagnetic field between the atomizing assembly and the collector. The molten alloy particles interact with the at least one field, which influences at least one of the acceleration, speed, and direction of the molten alloy particles. Related methods also are disclosed.

Abstract: An apparatus for producing a digital depiction of a signal (10) which is adaptive to the signal itself. A constant rate sampling means, such as an analogue to digital converter (2), samples the signal (10) at a constant rate and produces a first digital depiction (12) of a signal. A transformation means (14) is responsive to the first digital depiction (12) and produces a second digital depiction based on the evolution of the signal. The transformation means may be capable of determining when a predetermined threshold level has been crossed and measuring the time interval between predetermined threshold level crossings. The transformation means (14) may include a logic arrangement and a timer counter and is run from a clock signal (16) from the same clock (6) as drives the sampling means. A method of adapting a conventional ADC (2) to adaptively sample the signal (10) by adding a transformation means (14) run off the same clock (6) as the ADC (2) is also provided.

Abstract: An apparatus for producing a digital depiction of a signal (10) which is adaptive to the signal itself. A constant rate sampling means, such as an analogue to digital converter (2), samples the signal (10) at a constant rate and produces a first digital depiction (12) of a signal. A transformation means (14) is responsive to the first digital depiction (12) and produces a second digital depiction based on the evolution of the signal. The transformation means may be capable of determining when a predetermined threshold level has been crossed and measuring the time interval between predetermined threshold level crossings. The transformation means (14) may include a logic arrangement and a timer counter and is run from a clock signal (16) from the same clock (6) as drives the sampling means. A method of adapting a conventional ADC (2) to adaptively sample the signal (10) by adding a transformation means (14) run off the same clock (6) as the ADC (2) is also provided.

Abstract: An analogue to digital converter generating at least two threshold levels and a comparator for comparing each of the levels with the input signal and generating a primary digital output signal to provide an indication that the input signal has crossed one of the threshold levels. The converter comprises a timer for determining the elapsed period of time between the input signal crossing a first level and the input signal crossing a second level and for generating a secondary output signal representing the elapsed time, whereby the secondary digital output signal and the corresponding primary output signal are used to provide a digital representation of the analogue input signal. The converter may also comprise a receiver of the primary digital output signal from the comparator and for providing an UP/DOWN digital output signal to indicate in which direction the input signal crossed the threshold level.

Abstract: A digital processor for simulating operation of a parallel processing array incorporates digital processing units (P.sub.1 to P.sub.8) communicating data to one another via addresses in memories (M.sub.0 to M.sub.8) and registers (R.sub.11 to R.sub.41). Each processing unit (e.g. P.sub.1) is programmed to input data and execute a computation involving updating of a stored coefficient followed by data output. Each computation involves use of a respective set of data addresses for data input and output, and each processing unit (e.g. P.sub.1) is programmed with a list of such sets employed in succession by that unit. On reaching the end of its list, the processing unit (e.g. P.sub.1) repeats it. Each address set is associated with a conceptual internal cell location in the simulated array (10), and each list is associated with a respective sub-array of the simulated array (10). Data is input cyclically to the processor (40) via input/output ports (I/O.sub.5 to I/O.sub.8) of some of the processing units (P.sub.

Abstract: A dynamical system analyser (10) incorporates a computer (22) to perform a singular value decomposition of a time series of signals from a nonlinear (possibly chaotic) dynamical system (14). Relatively low-noise singular vectors from the decomposition are loaded into a finite impulse response filter (34). The time series is formed into Takens' vectors each of which is projected onto each of the singular vectors by the filter (34). Each Takens' vector thereby provides the co-ordinates of a respective point on a trajectory of the system (14) in a phase space. A heuristic processor (44) is used to transform delayed co-ordinates by QR decomposition and least squares fitting so that they are fitted to non-delayed co-ordinates. The heuristic processor (44) generates a mathematical model to implement this transformation, which predicts future system states on the basis of respective current states. A trial system is employed to generate like co-ordinates for transformation in the heuristic processor (44).

Abstract: A dynamical system analyzer (10) incorporates a computer (22) to perform a singular value decomposition of a time series of signals from a nonlinear (possibly chaotic) dynamical system (14). Relatively low-noise singular vectors from the decomposition are loaded into a finite impulse response filter (34). The time series is formed into Takens' vectors each of which is projected onto each of the singular vectors by the filter (34). Each Takens' vector thereby provides the co-ordinates of a respective point on a trajectory of the system (14) in a phase space. A heuristic processor (44) is used to transform delayed co-ordinates by QR decomposition and least squares fitting so that they are fitted to non-delayed co-ordinates. The heuristic processor (44) generates a mathematical model to implement this transformation, which predicts future system states on the basis of respective current states. A trial system is employed to generate like co-ordinates for transforation in the heuristic processor (44).

Abstract: A heuristic processor incorporates a digital arithmetic unit arranged to compute the squared norm of each member of a training data set with respect to each member of a set of centers, and to transform the squared norms in accordance with a non-linear function to produce training .phi. vectors. A systolic array arranged for QR decomposition and least means squares processing forms combinations of the elements of each .phi. vector to provide a fit to corresponding training answers. The form of combination is then employed with like-transformed test data to provide estimates of unknown results. The processor is applicable to provide estimated results for problems which are non-linear and for which explicit mathematical formalisms are unknown.

Abstract: A dynamical system analyser (10) incorporates a computer (22) to perform a singular value decomposition of a time series of signals from a nonlinear (possibly chaotic) dynamical system (14). Relatively low-noise singular vectors from the decomposition are loaded into a finite impulse response filter (34). The time series is formed into Takens' vectors each of which is projected onto each of the singular vectors by the filter (34). Each Takens' vector thereby provides the co-ordinates of a respective point on a trajectory of the system (14) in a phase space. A heuristic processor (44) is used to transform delayed co-ordinates by QR decomposition and least squares fitting so that they are fitted to non-delayed co-ordinates. The heuristic processor (44) generates a mathematical model to implement this transformation, which predicts future system states on the basis of respective current states. A trial system is employed to generate like co-ordinates for transforation in the heuristic processor (44).

Abstract: A heuristic processor incorporates a digital arithmetic unit arranged to compute the squared norm of each member of a training data set with respect to each member of a set of centers, and to transform the squared norms in accordance with a nonlinear function to produce training &phgr; vectors. A systolic array arranged for QR decomposition and least mean squares processing forms combinations of the elements of each &phgr; vector to provide a fit to corresponding training answers. The form of combination is then employed with like-transformed to provide estimates of unknown result. The processor is applicable to provide estimated results for problems which are nonlinear and for which explicit mathematical formalisms are unknown.