Abstract: The present invention features solid pharmaceutical compositions comprising Compound 1 and Compound 2. In one embodiment, the solid pharmaceutical composition includes (1) a first layer which comprises 100 mg Compound 1, as well as a pharmaceutically acceptable hydrophilic polymer and a pharmaceutically acceptable surfactant, all of which are formulated in amorphous solid dispersion; and (2) a second layer which comprises 40 mg Compound 2, as well as a pharmaceutically acceptable hydrophilic polymer and a pharmaceutically acceptable surfactant, all of which are formulated in amorphous solid dispersion.

Abstract: A method for providing an integrity test of a double filter capsule can include providing the double filter capsule in such a way that in a filtration process the medium to be filtered flows in its flow direction from an upstream chamber in the housing through a first filter into an intermediate chamber between the first filter and a second filter and then through the second filter to an outlet. The housing can have an upstream-chamber access point for feeding a test fluid into the upstream chamber and an intermediate-chamber access point for feeding the test fluid into the intermediate chamber. Additional steps can include providing a connecting line between the upstream-chamber access point and the intermediate-chamber access point and determining the state of integrity of the double filter capsule on the basis of at least two test phases.

Abstract: Various embodiments of the teachings herein include a computer aided method for generating training data for a neural network designed to determine a pollutant concentration at a measurement station from a pollutant emission. The method may include: providing a measurement series of the concentration containing a value above a threshold; providing a measurement series for a variable related to the pollutant concentration; providing a transmission model modelling a relationship between the pollutant emission, the measured variable, and the pollutant immission at the measurement station; computing a first value of the pollutant immission using the transmission model using a value of the measured variable; computing a second value of the pollutant immission using the transmission model by numerically altering the measured value of the measured variable; and generating a synthetic measurement series as training data by an alteration based at least in part on a relative change in computed values.

Abstract: Various embodiments include a method for verifying sensors for a sensor network including a reference sensor comprising: identifying a first sensor; locating the identified sensor; comparing a measured value recorded by the identified sensor to a measured value recorded at the same time and within a defined spatial environment using the reference sensor; determining a deviation of the measured value of the identified sensor from the measured value of the reference sensor; and assigning the sensor to precisely one of at least two categories depending on an amount of the deviation.

Abstract: Various embodiments of the teachings herein include a computer-aided method for generating training data for a neural network used to determine a pollutant concentration from a pollutant emission. The method may include: providing a first series of the pollutant concentration with one reading above a defined threshold value; providing a second series for a physical measured variable related to the pollutant concentration; providing a model for a relationship between the two; computing a first value of the pollutant emission with the model using a value of the measured variable related to a value of the pollutant concentration; computing a second value of the pollutant emission with the model by numerically altering the measured value of the measured variable; and generating a synthetic measurement series as training data using an alteration of the value of the measured series, using the relative change in the computed values of the pollutant emissions.

Abstract: Various embodiments include a method for verifying sensors for a sensor network including a reference sensor comprising: identifying a first sensor; locating the identified sensor; comparing a measured value recorded by the identified sensor to a measured value recorded at the same time and within a defined spatial environment using the reference sensor; determining a deviation of the measured value of the identified sensor from the measured value of the reference sensor; and assigning the sensor to precisely one of at least two categories depending on an amount of the deviation.

Abstract: A system for providing infrastructure impacts on an urban area is provided. Area specific content data of a selected urban area is loaded from a database, and infrastructure impacts on the selected urban area are calculated by a calculation unit depending on the loaded area specific content data and technology parameters of predefined infrastructure levers set by a user.

Abstract: A system for providing infrastructure impacts on an urban area is provided. Area specific content data of a selected urban area is loaded from a database, and infrastructure impacts on the selected urban area are calculated by a calculation unit depending on the loaded area specific content data and technology parameters of predefined infrastructure levers set by a user.

Abstract: A method for automatically evaluating a delivery system with respect to the energy efficiency and emissions efficiency thereof, may include: determining a service level for the delivery system according to an energy intensity and an evaluation relevance of the particular delivery system, detecting energy data and emissions data of the delivery system corresponding to the determined service level of the delivery system, and calculating at least one indicator based on the detected energy data and emissions data and/or based on data for the energy management and environmental management of the delivery system for evaluating the delivery system with respect to the energy efficiency and emissions efficiency thereof.

Abstract: An in vitro process for the preparation of antibodies of the IgG type, comprising the steps of: i. challenging dendritic cells obtained from a donor with an antigen against which the antibodies to be prepared are directed; ii. challenging CD4+ T cells obtained from the same donor with fragments of the antigen presented by the dendritic cells from step L, with the proviso that the dendritic cells are ones essentially not secreting interferon-? (IFN-?) and interleukin 12 (IL-12), to generate antigen-specific CD4+ Th2 cells; iii. challenging with the antigen a B cell population obtained from the same donor and including a sufficient proportion of naive B cells; and iv. contacting the antigen-specific CD4+ Th2 cells according to ii. with at least a fraction of the B cell population from iii. to form an antigen-specific plasma cell; v. immortalizing said antigen-specific plasma cell; and vi. isolating the IgG antibodies formed by said antigen-specific plasma cell.

Abstract: The present invention relates to a copper alloy, in particular for components which carry media or drinking water, in particular fittings, valves or compression joints and also an advantageous use of the copper alloy and components for lines carrying media or drinking water. It is an object of the present invention to provide a copper alloy which has good corrosion resistance, good castability and mechanical workability and also good mechanical properties and displays good migration values, particularly in respect of the migration of lead and nickel ions into drinking water. The copper alloy provided for this purpose by the present invention comprises from 2% by weight to 4.5% by weight of silicon, from 1 to 15% by weight of zinc and from 0.05% by weight to 2% by weight of manganese. Furthermore, from 0.05 to 0.4% by weight of aluminium and from 0.05 to 2% by weight of tin can optionally be present. As balance, the copper alloy contains copper and unavoidable impurities.

Abstract: A network usage history associated with a user is obtained (202). The network usage history includes information relating to a first usage and a second usage of the network by the user. A graphical representation is formed that distinguishes the first usage and the second usage of the at least one network by the user and characterizes the first usage and the second usage (204). The graphical representation is presented to the user at the mobile station (206). Interactive navigation through the graphical representation presented to the user is facilitated in order to obtain information relating to a contact of the user and enable communication with the contact (208).

Abstract: A system for generating a user activity feedback comprises a sensor device (101) and a user device (103). The sensor device (101) comprises a force sensor (105, 107) which determines a measured force distribution resulting from a user activity, such as a sporting or exercise activity. A transmitter (109) transmits the measured force distribution to the user device (103) where a receiver (111) receives the measured force distribution. A context data processor (115) provides context data for the user, such as e.g. environment data or activity equipment data. A target processor (117) determines a target force distribution for the user activity in response to the context data and a feedback processor (113) generates the user activity feedback in response to the measured force distribution and the target force distribution. The user device can then present the user activity feedback to the user, e.g. as a real time audio signal suggesting performance corrections that can be made by the user.