Abstract: The disclosure provides a method and system of improvement in the real-time operation of a terminal station in an industrial facility using a machine learning-based self-adaptive system comprising obtaining real-time operations data and historical data stored in a local database or at a cloud-storage. The data relates to input parameters of the terminal station. The method includes inputting the input parameter to a machine learning configurable module of the machine learning-based self-adaptive system and analyzing the input parameter using dynamic machine learning models and algorithms to identify patterns to each of the input parameters. The method further includes evaluating the identified pattern against the real-time operations data obtained from the terminal station and predicting at least one output parameter based on the input parameter and the identified pattern against the real-time operations. Based on the prediction, adjusting the output parameter of the real-time operations data.

Abstract: The present disclosure relates to Zika virus vaccines and immunogenic compositions having one or more antigens from a Zika virus (e.g., a Zika virus clonal isolate, a non-human cell adapted Zika virus, etc.), and methods of treatments and uses thereof.

Abstract: The present disclosure relates to methods for inactivating a Zika virus which can be used in vaccines and immunogenic compositions. The present disclosure also relates to a method for determining the completeness of inactivation of an arbovirus preparation.

Abstract: The present disclosure relates to methods for inactivating a Zika virus which can be used in vaccines and immunogenic compositions. The present disclosure also relates to a method for determining the completeness of inactivation of an arbovirus preparation and to a method for determining the residual formaldehyde content in a pharmaceutical composition comprising an inactivated virus.

Abstract: The present disclosure relates to Zika virus vaccines and immunogenic compositions having one or more antigens from a Zika virus (e.g., a Zika virus clonal isolate, a non-human cell adapted Zika virus, etc.), and methods of treatments and uses thereof.

Abstract: The present disclosure relates to Zika virus vaccines and immunogenic compositions having one or more antigens from a Zika virus (e.g., a Zika virus clonal isolate, a non-human cell adapted Zika virus, etc.

Abstract: The present disclosure relates to Zika virus vaccines and immunogenic compositions having one or more antigens from a Zika virus (e.g., a Zika virus clonal isolate, a non-human cell adapted Zika virus, etc.), and methods of treatments and uses thereof.

Abstract: The present disclosure relates to methods for inactivating a Zika virus which can be used in vaccines and immunogenic compositions. The present disclosure also relates to a method for determining the completeness of inactivation of an arbovirus preparation.

Abstract: The present disclosure relates to methods for inactivating a Zika virus which can be used in vaccines and immunogenic compositions. The present disclosure also relates to a method for determining the completeness of inactivation of an arbovirus preparation.

Abstract: The present disclosure relates to methods for inactivating a Zika virus which can be used in vaccines and immunogenic compositions. The present disclosure also relates to a method for determining the completeness of inactivation of an arbovirus preparation and to a method for determining the residual formaldehyde content in a pharmaceutical composition comprising an inactivated virus.

Abstract: The present disclosure relates to Zika virus vaccines and immunogenic compositions having one or more antigens from a Zika virus (e.g., a Zika virus clonal isolate, a non-human cell adapted Zika virus, etc.), and methods of treatments and uses thereof.

Abstract: The present disclosure relates to methods for inactivating a Zika virus which can be used in vaccines and immunogenic compositions. The present disclosure also relates to a method for determining the completeness of inactivation of an arbovirus preparation.

Abstract: The present disclosure relates to Zika virus vaccines and immunogenic compositions having one or more antigens from a Zika virus (e.g., a Zika virus clonal isolate, a non-human cell adapted Zika virus, etc.

Abstract: The present disclosure relates to methods of producing Enterovirus C, e.g., for poliomyelitis vaccine production. In some embodiments, the methods include adding polysorbate to the cell culture medium during or prior to inoculation with the virus and/or culturing cells in a fixed bed bioreactor. Further provided herein is an Enterovirus C produced by the methods of production disclosed herein, as well as compositions, immunogenic compositions, and vaccines related thereto.

Abstract: The present disclosure relates to methods of producing Enterovirus A, e.g., for vaccine production, that include culturing cells in a fixed bed bioreactor. Further provided herein is an Enterovirus A produced by the methods of production disclosed herein, as well as compositions, immunogenic compositions, and vaccines related thereto.

Abstract: An electronic voting system comprising of one or more intelligent fixed in place voting machines, mobile voting machines and one or more trusted servers connected by secure wired or wireless communication means to enable electronic voting. A secure system for electronic voting by means of dynamically reconfiguring the mobile device as a mobile voting machine, said mobile voting machine communicating voice and data information with one or more trusted election servers to enable electronic voting in real time by leveraging the processing power/databases resident on the mobile device and or the processing power/databases resident on the trusted election servers. A system for providing disabled voters with enhanced utility by means such as language translation, speech recognition and other features by enabling the desired and enhanced functionality by using the processing power of the mobile device by itself and or in conjunction with the processing power of the local, central and or network server.