Abstract: A pressure vessel for storing fluid is disclosed. The pressure vessel includes a metallic liner comprising a cylindrical portion and a pair of ellipsoidal domes positioned at opposite ends of the cylindrical portion. Further, the pressure vessel includes a composite material wrapped over the cylindrical portion and the pair of ellipsoidal domes. The composite material is formed of a polymeric matrix reinforced with fibers, the composite material comprises of a combination of hoop layers and helical layers which are positioned in predetermined order with respect to each other. A hoop layer is wrapped over a cylindrical portion of the metallic liner of the pressure vessel and a helical layer is wrapped over both the cylindrical portion and the pair of ellipsoidal domes. The helical layer is wrapped on each of the pair of ellipsoidal domes in a manner that a helical angle is defined at an intersection between the cylindrical portion and the pair of ellipsoidal domes.

Abstract: The present invention provides methods of detecting analytes using particles having different physico-chemical properties, such as buoyancy, size, density, spectral characteristics, and/or binding properties, in solution-based sandwich assays and solution-based competition assays. The methods can be performed using rotors and bench-top centrifuges and provide for rapid, qualitative and quantitative detection of analytes. The present invention also provides kits that can be used to perform the methods, and mixtures containing particles suitable for the methods.

Abstract: An engine control module (ECM) may obtain information concerning a speed of an engine, information concerning an exhaust gas temperature, information concerning an engine airflow rate, information concerning a pressure of an intake manifold associated with the engine, and information concerning a requested amount of engine braking power. The ECM may cause one or more components of a variable geometry turbocharger (VGT) to adjust based on the information concerning the speed of the engine, the information concerning the exhaust gas temperature, and the information concerning the engine airflow rate. Additionally, or alternatively, the ECM may cause the one or more components of the VGT to adjust based on the information concerning the pressure of the intake manifold associated with the engine and the information concerning the requested amount of engine braking power.

Abstract: The present invention relates generally to glycoconjugates comprising a saccharide covalently conjugated to a carrier protein through a spacer containing ((2-oxoethyl)thio)). In an aspect the invention provides oxo-eT linked glycoconjugates comprising a saccharide covalently conjugated to a carrier protein through a ((2-oxoethyl)thio) spacer having the formula (I): wherein: A is a group (C?X)m wherein X is S or O and m is 0 or 1; B is a bond, O, or CH2; and when m is 0, B can also be (C?O); R is a C2-C16 alkylene, C2-C16 heteroakylene, NH—C(?O)—C2-C16 alkylene, or NH—C(?O)—C2-C16 heteroakylene, wherein said alkylene and heteroalkylene are optionally substituted by 1, 2 or 3 groups independently selected from COOR? where R? is selected from H, methyl, ethyl or propyl. The invention further relates to immunogenic compositions comprising such glycoconjugates, and to methods for the preparation and use of such glycoconjugates and immunogenic compositions.

Abstract: A mechanism is described for facilitating misuse index for explainable artificial intelligence in computing environments, according to one embodiment. A method of embodiments, as described herein, includes mapping training data with inference uses in a machine learning environment, where the training data is used for training a machine learning model. The method may further include detecting, based on one or more policy/parameter thresholds, one or more discrepancies between the training data and the inference uses, classifying the one or more discrepancies as one or more misuses, and creating a misuse index listing the one or more misuses.

Abstract: Techniques and solutions are described for improving user interfaces, such as by analyzing user interactions with a user interface with a machine learning component. The machine learning component can be trained with user interaction data that includes an interaction identifier and a timestamp. The identifiers and timestamps can be used to determine the duration of an interaction with a user interface element, as well as patterns of interactions. Training data can be used to establish baseline or threshold values or ranges for particular user interface elements or types of user interface elements. Test data can be obtained that includes identifiers and timestamps. The time taken to complete an interaction with a user interface element, and optionally an interaction pattern, can be analyzed. If the machine learning component determines that an interaction time or pattern is abnormal, various actions can be taken, such as providing a report or user interface guidance.

Abstract: A method and apparatus for surface densification of powder metal annular preforms is described. A forming tool has external helical teeth corresponding to internal helical teeth of the preform. A die correspondingly configured to the external splines of the preform circumferentially surrounds the forming tool. The forming tool, die and lower punch(es) collectively define an aperture dimensioned to receive the preform. Upper punch(es) encase the preform in the aperture. Surface densification of the internal surface of the preform is achieved by movement of the preform axially over the forming tool. External splines of the preform and corresponding die splines direct the preform axially while internal helical teeth and corresponding forming teeth direct the forming tool to rotate as the preform moves. The forming teeth have varying dimensions in the circumferential and radial directions to apply compression and relaxation to densify the surface of the preform helical teeth.

Abstract: The present disclosure relates to the field of image processing and discloses an agricultural advisory system (100) comprising a user device (102) and a cloud server (104). The user device (102) captures a digital image of a scene, receives a sensed data corresponding to scene-related and environmental parameters, and transmits the image and the sensed data to the cloud server. The server (104) stores one or more pre-trained prediction models and a three-dimensional HyperIntelliStack which maps red green blue (RGB) pixel values with hyperspectral reflectance values. The server (104) receives the digital images and the sensed data, transforms the received image made of RGB pixel values into a hyperspectral image using the HyperIntelliStack data structure, computes vegetation indices for each pixel of the hyperspectral image to generate a segmented image, and generates at least one advisory for agriculture and allied areas using the segmented image and one or more prediction models.

Abstract: An instrumentation analysis system processes data streams by executing instructions specified using a data stream language program. The data stream language allows users to specify a search condition using a find block for identifying the set of data streams processed by the data stream language program. The set of identified data streams may change dynamically. The data stream language allows users to group data streams into sets of data streams based on distinct values of one or more metadata attributes associated with the input data streams. The data stream language allows users to specify a threshold block for determining whether data values of input data streams are outside boundaries specified using low/high thresholds. The elements of the set of data streams input to the threshold block can dynamically change. The low/high threshold values can be specified as data streams and can dynamically change.

Abstract: Embodiments are generally directed to compression in machine learning and deep learning processing. An embodiment of an apparatus for compression of untyped data includes a graphical processing unit (GPU) including a data compression pipeline, the data compression pipeline including a data port coupled with one or more shader cores, wherein the data port is to allow transfer of untyped data without format conversion, and a 3D compression/decompression unit to provide for compression of untyped data to be stored to a memory subsystem and decompression of untyped data from the memory subsystem.

Abstract: A secondary side controller for a flyback converter includes an integrated circuit (IC), which in turn includes: a synchronous rectifier (SR) sense pin coupled to a drain of an SR transistor on a secondary side of the flyback converter; a capacitor having a first side coupled to the SR sense pin, the capacitor to charge or discharge responsive to a voltage sensed at the SR sense pin; a diode-connected transistor coupled between a second side of the capacitor and ground; a first current mirror coupled to the diode-connected transistor and configured to receive, as input current, a reference current from a variable current source; and a peak detect transistor coupled to the diode-connected transistor and to an output of the first current mirror. The peak detect transistor is to output a peak detection signal in response to detecting current from the capacitor drop below the reference current.

Abstract: Compositions, methods and biomarkers for diagnostics, monitoring and therapy of various health and complex-disease conditions, such as malignant and neurodegenerative disorders, utilizing the techniques of data mining, computational biology, artificial intelligence and molecular biology are provided.

Abstract: A cloud migration framework may include an enterprise application data store that contains electronic records associated with enterprise applications. Each record may include, for example, an electronic record identifier and enterprise application parameters. A data repository stores a catalogue of cloud computing patterns. A back-end application computer server retrieves information from the enterprise application data store and, based on enterprise application parameters, creates a move group representing a subset of the enterprise applications. For each application in the move group, the computer server identifies whether an appropriate cloud computing pattern exists in the catalogue. If an appropriate cloud computing pattern is identified, it is used to automatically create a reference implementation of the enterprise application in a cloud computing environment.

Abstract: The invention provides compositions (e.g., peptide compositions) useful for the detection of antibodies that bind to Borrelia antigens. The peptide compositions comprise polypeptide sequences comprising variants in the IR6 domain of the Borrelia VlsE protein. The invention also provides devices, methods, and kits comprising such peptide compositions and useful for the detection of antibodies that bind to Borrelia antigens and the diagnosis of Lyme disease.

Abstract: The embodiment herein provides a system and a method for assessing a cyber-risk and loss in a cloud infrastructure includes (a) deriving at least one of asset, topology, network or authentication vulnerabilities of a cloud infrastructure, (b) generating a technology risk machine learning model and a technology risk index, (c) generating a compliance risk machine learning model and a compliance risk, (d) generating a ransomware machine learning model and a business risk by processing (i) the compliance risk machine learning model and the compliance risk, (ii) a business input comprising asset information, cash flow, a value of the asset, (e) determining an asset's ransomware risk and loss based on the business risk and (f) automatically enabling one or more actions to mitigate the asset's ransomware risk and loss by fix misconfigurations or upgrading software using an API of cloud infrastructure.

Abstract: Compositions, methods and biomarkers for diagnostics, monitoring and therapy of various health and complex-disease conditions have an autoimmune component utilizing the techniques of data mining, computational biology, artificial intelligence and molecular biology are provided.

Abstract: A solid-state lithium-ion battery may include a metal layer. A solid-state lithium-ion battery may include a cathode layer disposed in the metal layer. A solid-state lithium-ion battery may include a reinforced lithiated composite electrolyte layer disposed on the cathode layer. A solid-state lithium-ion battery may include a lithiated ionomer coating layer disposed on the reinforced lithiated composite electrolyte layer. A solid-state lithium-ion battery may include an anode layer disposed on the lithiated ionomer coating layer.

Abstract: A slidable current collector has an array of terminals with carbon brushes for contacting conductor rails to deliver electrical power to a moving work machine. The terminals have upper sections with a conductive post, lower sections that include a reservoir of liquid metal, and bladders that connect the upper sections with the lower sections. Magnets surround outer shells of the terminals. Fluid above a threshold pressure fed into the bladders holds the upper sections apart from the lower sections and forces the magnets away from the conductor rails. Fluid below the threshold pressure allows the magnets to clamp the terminals to the conductor, lowers the conductive post into the liquid metal, and urges the carbon brushes against the conductor rails. The bladders provide a fluid suspension distributed across the array of terminals, enabling consistent electrical contact and wear for the carbon brushes.

Abstract: A technique of processing storage cluster performance metrics involves obtaining access to performance metrics from storage appliances of a storage cluster, the performance metrics identifying performance for storage objects managed by the storage appliances. The technique further involves, after access to the performance metrics is obtained, disregarding a duplicate set of performance metrics for a storage object that migrates from a first storage appliance of the storage cluster to a second storage appliance of the storage cluster. The technique further involves, after the duplicate set of performance metrics is disregarded, archiving the performance metrics to an archive. After archiving the performance metrics to the archive, the technique may provide a performance analysis based on the performance metrics from the archive as well as adjust operation of the storage cluster according to the performance analysis.

Abstract: A foundation temperature control system for use with a rotary machine is positioned between the rotary machine and a foundation. The foundation temperature control system includes a heat shield, an insulation pack positioned below the heat shield, and an air gap at least partially defined by the heat shield and the insulation pack. The heat shield, the insulation pack, and the air gap are oriented to facilitate maintaining a temperature of the foundation supporting the rotary machine below a maximum rated operating temperature of the foundation.