Abstract: Described are luminescent components with excellent performance and stability. The luminescent components comprise a first element 1 including first luminescent crystals 11 from the class of perovskite crystals, embedded a first polymer P1 and a second element 2 comprising a second solid polymer composition, said second polymer composition optionally comprising second luminescent crystals 12 embedded in a second polymer P2. Polymers P1 and P2 differ and are further specified in the claims. Also described are methods for manufacturing such components and devices comprising such components.

Abstract: Methods and apparatus consistent with the invention provide the ability to combine data from multiple different sources of risk data, to create a weighted risk model using Bayesian networks and Monte-Carlo simulation to advance a quantified risk outlook. Based on the client risk configuration file, a risk user interface (UI) template is selected and the modelled risk is generated into a graphical user interface (GUI) using the selected risk template to display the GUI at multiple summary levels starting at a high-level overview which will include cyber, economic, legal, brand, operational and geographic risks. The GUI of modelled risk is displayed on the client device using the selected UI template. The system enables the user to drill down into the GUI for any of the categories available in the selected UI template to further examine risk characteristics as well as the actual sources of the risk in the modelled risk.

Abstract: A computer-implemented method and data processing system for monitoring a distributed application server environment connected to a plurality of client terminals, wherein a client terminal requests at least one fulfillment of a task during a session, a task requiring the execution of at least one of a plurality of applications, is presented. The method includes storing log files on at least one database server, retrieving at least one log file from the at least one database server, generating an application call tree for a fulfillment of a task from the at least one log file, aggregating a plurality of application call trees for the same task to generate an averaged application call tree, analyzing the averaged application call tree with regard to performance issues, and, in response to a detection of a performance issue, generating an output message.

Abstract: A computer-implemented method and data processing system for monitoring a distributed application server environment connected to a plurality of client terminals, wherein a client terminal requests at least one fulfillment of a task during a session, a task requiring the execution of at least one of a plurality of applications, is presented. The method includes storing log files on at least one database server, retrieving at least one log file from the at least one database server, generating an application call tree for a fulfillment of a task from the at least one log file, aggregating a plurality of application call trees for the same task to generate an averaged application call tree, analyzing the averaged application call tree with regard to performance issues, and, in response to a detection of a performance issue, generating an output message.

Abstract: Methods and apparatus consistent with the invention provide the ability to combine data from multiple different sources of risk data, to create a weighted risk model using Bayesian networks and Monte-Carlo simulation to advance a quantified risk outlook. Based on the client risk configuration file, a risk user interface (UI) template is selected and the modelled risk is generated into a graphical user interface (GUI) using the selected risk template to display the GUI at multiple summary levels starting at a high-level overview which will include cyber, economic, legal, brand, operational and geographic risks. The GUI of modelled risk is displayed on the client device using the selected UI template. The system enables the user to drill down into the GUI for any of the categories available in the selected UI template to further examine risk characteristics as well as the actual sources of the risk in the modelled risk.

Abstract: An oligopeptide microarray and methods for the synthesis thereof are presented. Further presented is a microarray on a solid support comprising at least about 10,000 oligopeptide features per cm2 and preferably at least about 50,000 oligopeptide features per cm2.

Abstract: The present invention relates to a microarray comprising at least 50,000 oligopeptide features per cm2 where the oligopeptide features represent at least 50%, at least 60%, at least 70%, at least 80%, at least 90%, at least 95%, at least 99%, or 100% of the proteome of a virus or an organism. The present invention further relates to methods for the synthesis of such microarrays and methods of using microarrays comprising at least 50,000 oligopeptide features per cm2. In an embodiment of the invention, the oligopeptide features represent proteins expressed in the same species, wherein the oligopeptide features are presented in a tiling pattern representing at least about 5,000, at least about 10,000, at least about 15,000, at least about 20,000, or at least about 25,000 proteins expressed in a species.

Abstract: The invention comprises systems, methods and arrays for identification and optimization of novel peptide binders to protein targets. Embodiments include steps of peptide binder discovery, core peptide maturation, N-terminal and C-terminal extension and kinetics analysis of the final peptide binder.

Abstract: The present invention relates to a microarray comprising at least 50,000 oligopeptide features per cm2 where the oligopeptide features represent at least 50%, 60%, 70%, 80%, 90%, 95%, 99%, or 100% of the proteome of a virus or an organism. The present invention further relates to methods for the synthesis of such microarrays and methods of using microarrays comprising at least 50,000 oligopeptide features per cm2. In an embodiment of the invention, the oligopeptide features represent proteins expressed in the same species, wherein the oligopeptide features are presented in a tiling pattern representing at least about 5,000 to-at least about 25,000 proteins expressed in a species. In some embodiments, the oligopeptide microarray features represent proteins expressed in the same species, wherein the microarray features are present in a tiling pattern that represents at least about 5,000 to at least about 50,000 expressed proteins.

Abstract: The present invention relates to a microarray comprising at least 50,000 oligopeptide features per cm2 where the oligopeptide features represent at least 50%, 60%, 70%, 80%, 90%, 95%, 99%, or 100% of the proteome of a virus or an organism. The present invention further relates to methods for the synthesis of such microarrays and methods of using microarrays comprising at least 50,000 oligopeptide features per cm2. In an embodiment of the invention, the oligopeptide features represent proteins expressed in the same species, wherein the oligopeptide features are presented in a tiling pattern representing at least about 5,000 to-at least about 25,000 proteins expressed in a species. In some embodiments, the oligopeptide microarray features represent proteins expressed in the same species, wherein the microarray features are present in a tiling pattern that represents at least about 5,000 to at least about 50,000 expressed proteins.

Abstract: An oligopeptide microarray and methods for the synthesis thereof are presented. Further presented is a microarray on a solid support comprising at least about 10,000 oligopeptide features per cm2 and preferably at least about 50,000 oligopeptide features per cm2.