Abstract: The present disclosure relates to recombinant RNA molecules encoding an oncolytic virus genome. The present disclosure further relates to the encapsulation of the recombinant RNA molecules and the use of the recombinant RNA molecules and/or particles for the treatment and prevention of cancer.

Abstract: To determine a peak signal corresponding to a particular part of a sample, a data signal for a cluster can be transformed into a set of localized functions. For example, the data signal can be transformed to obtain coefficients of a set of wavelets, which can span a variety of scales that define an exponential decay of the wavelet. The coefficients in a time region for which a peak signal is to be obtained can be replaced with coefficients that model the behavior of tails of other peaks. The tail model can be determined using nonlinear regression, which may need to only be performed once. An inverse transform can then provide a background signal that can be subtracted from the input data signal to provide the desired peak signal.

Abstract: Systems and methods are provided for analyzing data to determine properties of a PCR processor other process exhibiting amplification or growth. Data representing an amplification can be distinguished from data representing a jump or other error. A modified sigmoid function containing a drift term may be used in determining the properties. A multi-stage functional fit of the amplification data can provide increased accuracy and consistency of one or more of the properties. A baseline of the amplification data can be determined by analyzing an integrated area of a first derivative function of the data. A reference quantitation value can also be determined from locations of maxima of different derivative functions of the amplification data, e.g., a weighted average of the maxima locations for the second and third derivatives may be used.

Abstract: To determine a peak signal corresponding to a particular part of a sample, a data signal for a cluster can be transformed into a set of localized functions. For example, the data signal can be transformed to obtain coefficients of a set of wavelets, which can span a variety of scales that define an exponential decay of the wavelet. The coefficients in a time region for which a peak signal is to be obtained can be replaced with coefficients that model the behavior of tails of other peaks. The tail model can be determined using nonlinear regression, which may need to only be performed once. An inverse transform can then provide a background signal that can be subtracted from the input data signal to provide the desired peak signal.

Abstract: Systems and methods are provided for analyzing data to determine properties of a PCR processor other process exhibiting amplification or growth. Data representing an amplification can be distinguished from data representing a jump or other error. A modified sigmoid function containing a drift term may be used in determining the properties. A multi-stage functional fit of the amplification data can provide increased accuracy and consistency of one or more of the properties. A baseline of the amplification data can be determined by analyzing an integrated area of a first derivative function of the data. A reference quantitation value can also be determined from locations of maxima of different derivative functions of the amplification data, e.g., a weighted average of the maxima locations for the second and third derivatives may be used.

Abstract: Systems and methods are provided for analyzing data to determine properties of a PCR process or other process exhibiting amplification or growth. Data representing an amplification can be distinguished from data representing a jump or other error. A modified sigmoid function containing a drift term may be used in determining the properties. A multi-stage functional fit of the amplification data can provide increased accuracy and consistency of one or more of the properties. A baseline of the amplification data can be determined by analyzing an integrated area of a first derivative function of the data. A reference quantitation value can also be determined from locations of maxima of different derivative functions of the amplification data, e.g., a weighted average of the maxima locations for the second and third derivatives may be used.

Abstract: Systems and methods are provided for analyzing data to determine properties of a PCR process or other process exhibiting amplification or growth. Data representing an amplification can be distinguished from data representing a jump or other error. A modified sigmoid function containing a drift term may be used in determining the properties. A multi-stage functional fit of the amplification data can provide increased accuracy and consistency of one or more of the properties. A baseline of the amplification data can be determined by analyzing an integrated area of a first derivative function of the data. A reference quantitation value can also be determined from locations of maxima of different derivative functions of the amplification data, e.g., a weighted average of the maxima locations for the second and third derivatives may be used.

Abstract: Methods, apparatus, and systems are provided for processing a data set representing an amplification curve having a baseline portion and a growth portion. Peak objects are generated by taking a derivative of the data set. The first peak object having a value greater than a threshold is identified. An end of the baseline portion from a beginning of the first peak object is estimated.

Abstract: Systems and methods are provided for analyzing data to determine properties of a PCR process or other process exhibiting amplification or growth. Data representing an amplification can be distinguished from data representing a jump or other error. A modified sigmoid function containing a drift term may be used in determining the properties. A multi-stage functional fit of the amplification data can provide increased accuracy and consistency of one or more of the properties. A baseline of the amplification data can be determined by analyzing an integrated area of a first derivative function of the data. A reference quantitation value can also be determined from locations of maxima of different derivative functions of the amplification data, e.g., a weighted average of the maxima locations for the second and third derivatives may be used.

Abstract: Methods, apparatus, and systems are provided for processing a data set having noise to determine whether the data set exhibits statistically linear behavior. A true data signal is calculated based on local properties of the data, and an estimate of the noise in the data is calculated from the true data signal. A measure of the estimated noise is then compared to properties of a linear fit to the data set.

Abstract: A device for the storage of multiple bottles of wine including an open wine container therein. The device includes a purging station for the introduction of inert or heavier thin air gas to the open wine container and an actuator for selectively introducing the heavier than air gas to the open wine container. The device further includes a cabinet having a top, bottom, sides and back creating a space for housing a plurality of wine containers in an upright orientation and a door having an open window to enable one to view at least the open wine container while the door is closed.

Abstract: A stopper and method for its use for selectively retaining a liquid, such as wine, within a bottle and for minimizing oxidation of the bottle's contents. The stopper includes a head portion sized to reside external to the bottle opening and a neck portion sized to fit and be selectively retained within the neck of the bottle. The stopper further has an inert gas entry port for receiving a source of pressurized inert gas and for introducing the inert gas proximate the meniscus of the liquid in the bottle and a gas venting port for discharging gas from the bottle upon the introduction of inert gas thereto. The stopper is provided with a plurality of seals substantially preventing liquid from passing through the stopper when the neck portion is seated within the bottle opening.

Abstract: A stopper for a container having a liquid, such as wine, which is subject to oxidation once opened. The stopper is provided with a neck region for fitting within a bottle and a top for residing outside of the bottle when in use. Pathways for the introduction of an inert gas, such as argon, and for air expelled from the bottle when the inert gas is introduced are selectively closeable. Liquid housed within the bottle can be poured from the stopper without removing it. Thus, an oxidizable liquid can be preserved while decanting the bottle contents at will.

Abstract: Coupons which are displayed as a text message on a mobile telecommunication device and include a code uniquely identifying the coupon are provided for. Systems for generating coupons on demand are also provided for. The system comprises an agency computer having access to a coupon database. The coupon database comprises information on offers and a location value assigned to each offer. The agency computer is connectable to a mobile communications network or other network for transmitting electronic mail. It receives requests for coupons from consumers that are transmitted via the network. Preferably, the requests originate from cells phones or other mobile telecommunication devices and are transmitted to the agency computer via a mobile communications network. The request is a text message that includes information identifying the consumer's location.

Abstract: Methods, apparatus, and systems are provided for processing a data set representing an amplification curve having a baseline portion and a growth portion. Peak objects are generated by taking a derivative of the data set. The first peak object having a value greater than a threshold is identified. An end of the baseline portion from a beginning of the first peak object is estimated.

Abstract: Methods, apparatus, and systems are provided for processing a data set having noise to determine whether the data set exhibits statistically linear behavior. A true data signal is calculated based on local properties of the data, and an estimate of the noise in the data is calculated from the true data signal. A measure of the estimated noise is then compared to properties of a linear fit to the data set.