Abstract: The invention allows producing air flow to either inflate a self-making bedding system via a first outlet, or to heat the air exiting the apparatus via a second, optionally a third, outlet, for controlling the air flow and the temperature sent into the self-making bedding system. The 5 apparatus is operated via an interface on the outside surface of the apparatus; a smartphone or tablet, an intelligent virtual/personal assistant or a computer including an application or software for wirelessly sending instructions to the apparatus, e.g. using Bluetooth™ or Wifi; or a remote control. The invention is particularly useful for disabled persons for self-making their bed by directly controlling the apparatus via the application, with the possibility to use a 0 voice control system combined with the application, or to have the apparatus daily programmed for making the bed or controlling the temperature at specific time of the day.

Abstract: A method comprises forming a mask on a first surface of a substrate. The mask is patterned to form openings on the first surface of the substrate. Notches are formed in the first surface of the substrate in the openings. The mask is removed from the first surface of the substrate A plurality of LEDs are provided on the first surface of the substrate and between notches. A second surface of the substrate is thinned to expose the notches and separate the LEDs. The second surface of the substrate is opposite of the first surface of the substrate.

Abstract: A method according to embodiments of the invention includes providing a light emitting semiconductor structure grown on a substrate. The substrate has a front side and a back side opposite the front side. Notches are formed in the substrate. The notches extend from the front side of the substrate into the substrate. After forming notches in the substrate, the back side of the substrate is thinned to expose the notches.

Abstract: Some embodiments provide a method for a first network slice selector that selects network slices for connections from endpoint devices located within a first geographic range. The method selects a network slice for a connection between a mobile endpoint device and a network domain that originates when the mobile endpoint device is located within the first geographic range. The method stores state that maps the connection to the selected network slice. The method forwards data traffic belonging to the connection from the mobile endpoint device onto the selected network slice using the stored state. After the mobile endpoint device moves from the first geographic range to a second geographic range, the method receives data traffic belonging to the connection from a second network slice selector that selects network slices for connections from endpoint devices within the second geographic range and forwards said received data traffic onto the selected network slice.

Abstract: A system can reduce congestion in slice-based networks, such as a virtual service network (“VSN”). The system can include a monitoring module that communicates with agents on switches, such as routers or servers. The switches report telematics data to the monitoring module, which determines slice-specific performance attributes such as slice latency and slice throughput. These slice-specific performance attributes are compared against software license agreement (“SLA”) requirements. When the SLA is not met, the monitoring module can implement a new slice path for the slice to reduce the congestion.

Abstract: There is proposed a light source comprising: a semiconductor diode structure adapted to generate light; and an optical enhancement section above the semiconductor diode structure and adapted to output light from the semiconductor diode structure. A partially-reflective layer covers at least a portion of the top of the optical enhancement section and is adapted to reflect a portion of the output light towards the optical enhancement section. The partially-reflective layer has a light transmittance characteristic that varies laterally.

Abstract: A data processing system is provided that includes a processor having associated memory, the processor being configured to execute instructions using portions of the memory to cause the processor to, at classification time, receive an input image frame from an image source. The input image frame includes an articulated object and a target object. The processor is further caused to process the input image frame using a trained neural network configured to, for each input cell of a plurality of input cells in the input image frame predict a three-dimensional articulated object pose of the articulated object and a three-dimensional target object pose of the target object relative to the input cell. The processor is further caused to output the three-dimensional articulated object pose and the three-dimensional target object pose from the neural network.

Abstract: Some embodiments of the invention provide novel methods for performing services on data messages passing through a network connecting one or more datacenters, such as software defined datacenters (SDDCs). The method of some embodiments uses service containers executing on host computers to perform different chains (e.g., ordered sequences) of services on different data message flows. For a data message of a particular data message flow that is received or generated at a host computer, the method in some embodiments uses a service classifier executing on the host computer to identify a service chain that specifies several services to perform on the data message. For each service in the identified service chain, the service classifier identifies a service container for performing the service. The service classifier then forwards the data message to a service forwarding element to forward the data message through the service containers identified for the identified service chain.

Abstract: Some embodiments of the invention provide novel methods for performing services on data messages passing through a network connecting one or more datacenters, such as software defined datacenters (SDDCs). The method of some embodiments uses service containers executing on host computers to perform different chains (e.g., ordered sequences) of services on different data message flows. For a data message of a particular data message flow that is received or generated at a host computer, the method in some embodiments uses a service classifier executing on the host computer to identify a service chain that specifies several services to perform on the data message. For each service in the identified service chain, the service classifier identifies a service container for performing the service. The service classifier then forwards the data message to a service forwarding element to forward the data message through the service containers identified for the identified service chain.

Abstract: Some embodiments of the invention provide novel methods for performing services on data messages passing through a network connecting one or more datacenters, such as software defined datacenters (SDDCs). The method of some embodiments uses service containers executing on host computers to perform different chains (e.g., ordered sequences) of services on different data message flows. For a data message of a particular data message flow that is received or generated at a host computer, the method in some embodiments uses a service classifier executing on the host computer to identify a service chain that specifies several services to perform on the data message. For each service in the identified service chain, the service classifier identifies a service container for performing the service. The service classifier then forwards the data message to a service forwarding element to forward the data message through the service containers identified for the identified service chain.

Abstract: A switch in a slice-based network can be used to enforce quality of service (“QoS”). Agents can run in the switches, such as in the core of each switch. The switches can sort ingress packets into slice-specific ingress queues in a slice-based pool. The slices can have different QoS prioritizations. A switch-wide policing algorithm can move the slice-specific packets to egress interfaces. Then, one or more user-defined egress policing algorithms can prioritize which packets are sent out into the network first based on slice classifications.

Abstract: Nucleic acids encoding modified norovirus VP1 proteins, and VLPs comprising one or more of the modified norovirus VP1 proteins are provided. Methods for modified norovirus VP1 protein, and norovirus VLP, production in plants, portions of the plant or a plant cell, are also described.

Abstract: A LED module is disclosed comprising a LED chip including at least one LED arranged to direct a luminous output centered about an optical axis towards a light exit surface; an optical layer separated from the light exit surface by a spacing region having a lower refractive index than the optical layer and a material comprising the light exit surface, the optical layer being arranged to redirect the luminous output in a direction under a non-zero angle with the optical axis; and a collimating element over the optical layer, the collimating element being arranged to collimate the redirected luminous output in said direction. A lighting module including one or more of such LED modules is also disclosed.

Abstract: A simulation mapping system and method for determining a plurality of performance metric values in relation to a training activity performed by a user in an interactive computer simulation, the interactive computer simulation simulating a virtual element comprising a plurality of dynamic subsystems. A processor module obtains dynamic data related to the virtual element being simulated in an interactive computer simulation station comprising a tangible instrument module. The dynamic data captures actions performed by the user on tangible instruments. The processor module constructs a dataset corresponding to the plurality of performance metric values from the dynamic data having a target time step by synchronizing dynamic data and by inferring, for at least one missing dynamic subsystems of the plurality of dynamic subsystems missing from the dynamic data, a new set of data into the dataset from dynamic data associated to one or more co-related dynamic subsystems.

Abstract: A catalytic process for the metal-free functionalization of sp2-carbons is described herein. The catalytic process is suitable for forming borylated alkenes, arenes and heteroarenes and comprises the use of catalysts comprising a Frustrated Lewis Pair (FLP).

Abstract: In example embodiments, techniques are provided to automatically classify individual elements of an infrastructure model by training one or more machine learning algorithms on classified infrastructure models, producing a classification model that maps features to classification labels, and utilizing the classification model to classify the individual elements of the infrastructure model. The resulting classified elements may then be readily subject to analytics, for example, enabling the display of dashboards for monitoring project performance and the impact of design changes. Such techniques enable classification of elements of new infrastructure models or in updates to existing infrastructure models.

Abstract: There is described herein use of a compound of formula (I) below to make cyclic peptides.

Abstract: Examples can include an optimizer that dynamically determines where to place virtual network functions for a slice in a distributed Telco cloud network. The optimizer can determine a slice path that complies with a service level agreement and balances network load. The virtual network functions of the slice can be provisioned at clouds identified by the optimal slice path. In one example, performance metrics are normalized, and tenant-selected weights can be applied. This can allow the optimizer to prioritize particular SLA attributes in choosing an optimal slice path.

Abstract: Computing devices and methods for estimating a pose of a user computing device are provided. In one example a 3D map comprising a plurality of 3D points representing a physical environment is obtained. Each 3D point is transformed into a 3D line that passes through the point to generate a 3D line cloud. A query image of the environment captured by a user computing device is received, the query image comprising query features that correspond to the environment. Using the 3D line cloud and the query features, a pose of the user computing device with respect to the environment is estimated.