Abstract: A computing system is provided that implements a system classifier including a first artificial intelligence model configured to classify each of a plurality of elements a computer system into one or more defined security categories, and a threat classifier including a second artificial intelligence model configured to classify each of a plurality of identified cybersecurity threats into the one or more defined security categories. The computing system further includes a threat analyzer configured to perform an analysis of a risk posed by each cybersecurity threat to each element of the target computer system based at least on the security categories of the classified cybersecurity threats and the security categories of classified elements of the target computer system, and output a security recommendation based on the analysis.

Abstract: An organic functional silane composition is shown and described herein. An organic functional silane composition comprises a mixture of organic functional silane monomers where at least one of the silane monomers comprises two or more alkoxy groups having C1-C2 alkyl groups and at least one of the silane monomers comprises two or more alkoxy groups having an alkyl group of three or more carbon atoms. The organic functional silane compositions can be employed in a coating composition and can improve one or more properties of the coating including, for example, scrub resistance.

Abstract: The invention provides the use of a formulation containing cyclodextrine, quercetin and zinc at appropriate concentrations to mitigate infections by enveloped viruses, such as COVID-19 virus (SARS-CoV-2), influenza and HIV. While the different forms of cyclodextrin prevent the entry of coated viruses into host cells by extracting and sequestering cholesterol molecules at the virus envelope and at the host cell plasma membrane, the natural plant-based ionophore quercetin in the formulation enables cellular entry of zinc, inhibiting viral replication by altering polymerase activity in the host cell. SUBSTANCE: This formulation is adapted for both surface use and introduction to a subject by dispersal, utilizing the known methods of measured nasal sprays or inhalers, wet wipes and medicated masks. The formulation is introduced in the form of an aqueous phosphate buffered saline pH 7.5 solution, containing 0.

Abstract: An adjustable shelf assembly including a number of mounting members and an adjustable shelf. The number of mounting members are provided with a main body and a number of fingers extending from the main body. The number of fingers collectively define a number of interstices disposed interstitially between adjacent fingers of the number of fingers. A first finger of the number of fingers define an aperture configured to receive a shelf of the refrigerator. The adjustable shelf is configured to be inserted into one or more of the interstices so that adjustable shelf is detachably connected to one or more of the number of interstices.

Abstract: Methods, apparatus, and processor-readable storage media for processing usage data for remote infrastructure using adjustable execution models are provided herein.

Abstract: Disclosed are engineered nanobodies against different target antigens such as the spike protein of the SARS-CoV-2 virus and or to the ACE2 receptor at the host cell surface, binds to the virus or the ACE2 receptor at the host cell plasma membrane, preventing entry of the SARS-CoV-2 virus.

Abstract: An adjustable shelf assembly including a number of mounting members and an adjustable shelf. The number of mounting members are provided with a main body and a number of fingers extending from the main body. The number of fingers collectively define a number of interstices disposed interstitially between adjacent fingers of the number of fingers. A first finger of the number of fingers define an aperture configured to receive a shelf of the refrigerator. The adjustable shelf is configured to be inserted into one or more of the interstices so that adjustable shelf is detachably connected to one or more of the number of interstices.

Abstract: Alert correlation helps reduce the number of alerts that IT staff have to act upon. Methods include a computer program product that applies a machine driven deep learning model to effectively correlate alerts caused by a common root cause. The methods of correlation provide the user the context of the root cause for the alerts. Therefore, it helps the user to quickly identify, understand and resolve the problem thereby reducing the mean time to identification and resolution. Alerts caused by the same root cause therefor come together.

Abstract: The invention provides the use of a formulation containing cyclodextrine, quercetin and zinc, at appropriate concentrations to mitigate infections by enveloped viruses like SARS-CoV-2, influenza and HIV/AIDS, when administered via pulmonary and dermal route. While the different forms of cyclodextrin prevent the entry of coated virus into host cells by extracting and sequestering cholesterol molecules at the virus coat and at the host cell plasma membrane, the natural plant-based ionophore quercetin in the formulation, enables cellular entry of zinc, inhibiting viral replication by altering polymerase activity in the host cell. Hence cyclodextrine, and quercetin plus zinc, either in combination or in tandem order of administration, serves both as prophylactic and therapeutic.

Abstract: A computing system is provided implementing a text miner configured to mine unstructured data from unstructured text sources and extract features of a target computer system, and a data flow diagram editor configured to process the extracted features to identify system elements of the target computer system and interrelationships between the identified system elements, and to identify system-related candidate properties of the system elements, and to populate a system element template for each identified system element with the system-related candidate properties for that element. The data flow diagram editor is configured to generate a data flow diagram for the target computer system comprising each identified system element having the candidate properties adopted according to the system property adoption user input, and is configured to display the generated data flow diagram in the graphical user interface.

Abstract: The invention provides the use of a formulation containing cyclodextrin, quercetin and zinc at appropriate concentrations to mitigate infections by enveloped viruses. While the different forms of cyclodextrin prevent the entry of coated viruses into host cells by extracting and sequestering cholesterol molecules at the virus envelope and at the host cell plasma membrane, the ionophore quercetin enables cellular entry of zinc, thereby inhibiting viral replication by altering polymerase activity in the host cell.

Abstract: Examples provide a method and system for quantitatively measuring air turbulence. A turbulence measuring application on each user device in a plurality of user devices associated with a plurality of users at a plurality of different locations within an aircraft generates vibration data and positional data associated with turbulence detected at each user's location. The data is analyzed to eliminate noise due to user movements and other non-turbulence related events. An aircraft server aggregates the vibration data and the positional data generated by the user devices scattered throughout the aircraft. The aggregated data is analyzed to eliminate noise due to non-turbulence related events to create quantitative air turbulence data. The quantitative air turbulence data generated by one or more aircraft is used with weather and other related data to generate more accurate and precise turbulence predictions for aircraft.

Abstract: A computing system is provided that implements a system classifier including a first artificial intelligence model configured to classify each of a plurality of elements a computer system into one or more defined security categories, and a threat classifier including a second artificial intelligence model configured to classify each of a plurality of identified cybersecurity threats into the one or more defined security categories. The computing system further includes a threat analyzer configured to perform an analysis of a risk posed by each cybersecurity threat to each element of the target computer system based at least on the security categories of the classified cybersecurity threats and the security categories of classified elements of the target computer system, and output a security recommendation based on the analysis.

Abstract: A computing system is provided implementing a text miner configured to mine unstructured data from unstructured text sources and extract features of a target computer system, and a data flow diagram editor configured to process the extracted features to identify system elements of the target computer system and interrelationships between the identified system elements, and to identify system-related candidate properties of the system elements, and to populate a system element template for each identified system element with the system-related candidate properties for that element. The data flow diagram editor is configured to generate a data flow diagram for the target computer system comprising each identified system element having the candidate properties adopted according to the system property adoption user input, and is configured to display the generated data flow diagram in the graphical user interface.

Abstract: Alert correlation plays an important role in IT event management. It helps reduce the number of alerts that IT staff have to act upon. The disclosure describes a method, a computer program product that applies a machine driven deep learning model to effectively correlate alerts caused by a common root cause. In addition, this method of correlation provides the user the context of the root cause. Therefore, it helps the user to quickly identify, understand and resolve the problem thereby reducing the mean time to identification and resolution. Alerts that are caused by the same root cause therefor come together. In the machine learning world, language sequence models are doing very well on learning the sequence patterns between words. For example, the machine can learn the subtle difference between choice of words and the order of words in order to fake a person's writing.

Abstract: The present invention relates to the development of carbon fiber carbon nanotubes reinforced polymer composites for high strength structural applications. It is very difficult to incorporate higher amount of carbon fiber >60 vol % in any of the polymer matrix. Beyond this loading the mechanical properties of these composite starts deteriorate. Therefore, further improvement in the mechanical properties is not possible. Herein, a novel method is developed to fabricate the hybrid carbon fiber epoxy composites reinforced with multiwalled carbon nanotubes. The flexural strength of the hybrid composites (˜45 vol % CF+CNT) was achieved more than 600 MPa which is more than 35% over pure carbon fiber/epoxy composites (˜50 vol % CF). These high strength hybrid composites can be used in wind mill blades, turbine blades, sport industries, automobile and airframe.

Abstract: The present invention relates to carbon nanotubes-metal nano composite by chemical route and the corresponding development of strong and flexible, light weight, self-supporting anode through simple vacuum filtration technique, which is favored by the high aspect ratio of the Multi-walled carbon nanotubes. The self-supported anode has an added advantage that it can be used as electrodes without binder and electrical conductor (unlike other carbonaceous powder materials) that helps us to elucidate the precise electrochemical properties. The metals used can be Sn, Si, Al, etc. The developed high capacity, free-standing anode can be used in rechargeable Li-ion batteries and is demonstrated successfully in powering solar lantern.

Abstract: The present invention relates to the development of carbon fiber carbon nanotubes reinforced polymer composites for high strength structural applications. It is very difficult to incorporate higher amount of carbon fiber >60 vol % in any of the polymer matrix. Beyond this loading the mechanical properties of these composite starts deteriorate. Therefore, further improvement in the mechanical properties is not possible. Herein, a novel method is developed to fabricate the hybrid carbon fiber epoxy composites reinforced with multiwalled carbon nanotubes. The flexural strength of the hybrid composites (˜45 vol % CF+CNT) was achieved more than 600 MPa which is more than 35% over pure carbon fiber/epoxy composites (˜50 vol % CF). These high strength hybrid composites can be used in wind mill blades, turbine blades, sport industries, automobile and airframe.

Abstract: A strain gauge sensor system is disclosed for monitoring changes in stain of a battery surface, said change in strain indicative of internal changes in the battery. The sensor system comprises a wire grid based sensor, the sensor electrically connected though for example a Wheatstone bridge to an RFID tag. In the presence of an RFID reader, the sensor system is activated, a signal representative of the resistance of the wire grid (and thus grid strain) transmitted to the reader, and the resistance value compared to resistance values for the healthy state of the battery.

Abstract: The present invention relates to carbon nanotubes-metal nano composite by chemical route and the corresponding development of strong and flexible, light weight, self-supporting anode through simple vacuum filtration technique, which is favored by the high aspect ratio of the Multi-walled carbon nanotubes. The self-supported anode has an added advantage that it can be used as electrodes without binder and electrical conductor (unlike other carbonaceous powder materials) that helps us to elucidate the precise electrochemical properties. The metals used can be Sn, Si, Al, etc. The developed high capacity, free-standing anode can be used in rechargeable Li-ion batteries and is demonstrated successfully in powering solar lantern.